Publications
Publications
Publications from the ICDM Lab in data mining, machine learning, and artificial intelligence.
See also: Fan Zhou's profile on Google Scholar.
Selected Publications
- CVPR
Harmonic Canvas: Inversion-Free Editing for Visually-Guided Music Style Transfer
Yue Lei, Siqi Yang, Ting Zhong, Fan Zhou
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026
- KDD
Disentangling Multi-View Scanning in Mamba for Network Traffic Anomaly Detection
Xinglin Lian, Chengtai Cao, Ting Zhong, Fan Zhou
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2026
- KDD
From Shallow Humor to Metaphor: Towards Label-Free Harmful Meme Detection via LMM Agent Self-Improvement
Jian Lang, Rongpei Hong, Ting Zhong, Leiting Chen, Qiang Gao, Fan Zhou
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2026
- TPAMI
Consensus-Driven Distillation for Trustworthy Explanations in Self-Interpretable GNNs
Wenxin Tai, Fan Zhou, Steve Azzolin, Goce Trajcevski, Ting Zhong, Kunpeng Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026
- CSUR
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Chengtai Cao, Fan Zhou, Yurou Dai, Jianping Wang, Kunpeng Zhang
ACM Computing Surveys, 2025
- ICCV
Borrowing Eyes for the Blind Spot: Overcoming Data Scarcity in Malicious Video Detection Via Cross-Domain Retrieval Augmentation
Rongpei Hong, Jian Lang, Ting Zhong, Fan Zhou
IEEE/CVF International Conference on Computer Vision, 2025
Collaboration Network
Co-authorship across the lab's publications. Drag nodes, scroll to zoom, hover for details.
202657
- AAAI
Beyond Graph Priors: A Co-Evolving Framework Under Uncertainty for Enterprise Resilience Assessment
Yanzhe Xie, Li Huang, Qiang Gao, Xueqin Chen, Fan Zhou, Kunpeng Zhang
AAAI Conference on Artificial Intelligence, 2026
- AAAI
Causally-Grounded Dual-Path Attention Intervention for Object Hallucination Mitigation in LVLMs
Liu Yu, Zhonghao Chen, Ping Kuang, Zhikun Feng, Fan Zhou, Lan Wang, Gillian Dobbie
AAAI Conference on Artificial Intelligence, 2026
- AAAI
Learning to Curate Context: Jointly Optimizing Retrieval and Prediction for Multimodal Social Media Popularity
Xovee Xu, Shuojun Lin, Fan Zhou, Jingkuan Song
AAAI Conference on Artificial Intelligence, 2026
- AAAI
Modality-Balanced Collaborative Distillation for Multi-Modal Domain Generalization
Xiaohan Wang, Zhangtao Cheng, Ting Zhong, Leiting Chen, Fan Zhou
AAAI Conference on Artificial Intelligence, 2026
- AAAI
Shedding the Facades, Connecting the Domains: Detecting Shifting Multimodal Hate Video with Test-Time Adaptation
Jiao Li, Jian Lang, Xikai Tang, Wenzheng Shu, Ting Zhong, Qiang Gao, Yong Wang, Leiting Chen, Fan Zhou
AAAI Conference on Artificial Intelligence, 2026
- ACL Findings
LEAF: Towards Lightweight Explainable Hateful Video Detection via Self-Grounding CoT Guided Stage-Wise Distillation
Jian Lang, Rongpei Hong, Meihui Zhong, Kaiju Li, Ting Zhong, Qiang Gao, Fan Zhou
Findings of the Association for Computational Linguistics: ACL, 2026
- APIN
Multimodal biometric recognition with cancelable template protection using deep learning and an optimized bloom filter
Md Sabuj Khan, Ting Zhong, Hengjian Li, Fan Zhou
Applied Intelligence, 2026
- CN
AdaGeo: Post-deployment IP geolocation via source-free test-time adaptation
Xueting Liu, Xinying Li, Yong Wang, Kai Chen, Fan Zhou
Computer Networks, 2026
- CVPR
Harmonic Canvas: Inversion-Free Editing for Visually-Guided Music Style Transfer
Yue Lei, Siqi Yang, Ting Zhong, Fan Zhou
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026
- ESWA
BALANCE: Interpretable breast cancer classification via dual-granularity attention with latent prototype alignment
Jiati Cai, Yuxun Zhao, Haohan Zhang, Yuxin Tong, Junren Wang, Kunpeng Zhang, Fan Zhou, Jin Yin, Jing Jing
Expert Systems with Applications, 2026
- ESWA
Semantic duality in hypergraphs: Uncertainty-aware bipolar evidence aggregation for temporal knowledge graph reasoning
Bin Chen, Yi Yang, Zhangtao Cheng, Xueting Liu, Yicheng Xin, Kunpeng Zhang, Fan Zhou
Expert Systems with Applications, 2026
- ESWA
When graph anomaly breaks the coherence: A multi-evidence approach with language models
Xuan Cheng, Jiahui Lu, Chunjing Xiao, Meiyi Yang, Meihui Zhong, Fan Zhou
Expert Systems with Applications, 2026
- ICC
ACE-HVD: A Multi-Agent Collaboration Approach for Interpretable Hate Video Detection
Kaiju Li, Shanyang Zhong, Man Fang, Rongpei Hong, Jian Lang, Fan Zhou
IEEE International Conference on Communications, 2026
- ICC
Balancing Flow and Memory: Context-Aligned Streaming Knowledge Graph Reasoning
Yichen Xin, Hanting Shen, Xueting Liu, Fan Zhou
IEEE International Conference on Communications, 2026
- IJIS
Unifying Invariant and Variant Knowledge With Dual-Hypergraph Contrastive Evolution for Temporal Knowledge Graph Reasoning
Fei Chen, Bing Guo, Zhangtao Cheng, Yan Shen, Mingjie Zhao, Yi Li, Fan Zhou
International Journal of Intelligent Systems, 2026
- INFOCOM
Decompose to Understand, Fuse to Detect: Frequency-Decoupled Anomaly Detection for Encrypted Network Traffic
Xinglin Lian, Chengtai Cao, Ting Zhong, Yong Wang, Kai Chen, Fan Zhou
IEEE Conference on Computer Communications, 2026
- INS
A uni-factor cancelable palmprint recognition scheme with deep sight network and key-indexed template encoding mechanism
Md Sabuj Khan, Ting Zhong, Hengjian Li, Fan Zhou, Muhammad Zamir
Information Sciences, 2026
- IPM
Enhancing fake news video detection with self-driven question-answer from LMMs
Fang Liu, Yili Li, Jian Lang, Rongpei Hong, Fan Zhou
Information Processing & Management, 2026
- IPM
Invariant learning improves out-of-distribution generalization for IP geolocation
Xiaohan Wang, Xueting Liu, Wenxin Tai, Joojo Walker, Yong Wang, Kai Chen, Fan Zhou
Information Processing & Management, 2026
- IPM
Multiple minds are better than one: Enhancing temporal knowledge graph forecasting with mixture of diverse graph experts
Yichen Xin, Hanting Shen, Shichong Li, Zhangtao Cheng, Xueting Liu, Jin Wu, Fan Zhou
Information Processing & Management, 2026
- IPM
Tracing paths, pruning noise: Toward robust IP geolocation via topology-guided shaping and refinement
Xueting Liu, Wenxin Tai, Ting Zhong, Yong Wang, Kai Chen, Fan Zhou
Information Processing & Management, 2026
- IPM
Unveiling cross-modal consistency: Taming inter- and intra-modal noise for robust multi-modal knowledge graph completion
Bin Chen, Hanting Shen, Zhangtao Cheng, Xueting Liu, Ting Zhong, Fan Zhou
Information Processing & Management, 2026
- JIIS
Multi-step denoising retrieval with progressive mixture-of-experts for sequential recommendation
Yuhua Mo, Xinglin Lian, Chao Deng, Jibin Wang, Xipeng Liu, Paiyu Li, Liying Huang, Yuhao Ma, Fan Zhou
Journal of Intelligent Information Systems, 2026
- KDD
Disentangling Multi-View Scanning in Mamba for Network Traffic Anomaly Detection
Xinglin Lian, Chengtai Cao, Ting Zhong, Fan Zhou
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2026
- KDD
Explicit Retrieval, Implicit Cognition: Towards Personalized Micro-video Popularity Prediction via Dual Latent Memory
Zhangtao Cheng, Bo Chen, Meihui Zhong, Ting Zhong, Bing Xia, Fan Zhou
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2026
- KDD
From Shallow Humor to Metaphor: Towards Label-Free Harmful Meme Detection via LMM Agent Self-Improvement
Jian Lang, Rongpei Hong, Ting Zhong, Leiting Chen, Qiang Gao, Fan Zhou
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2026
- KDD
Generative Optimization for Incentivized Advertising with Global Level Constraints
Gege Chen, Ning Luo, Hao Jiang, Da Li, Wenzheng Shu, Teng Sha, Yanxiang Zeng, Wenxin Tai, Fan Zhou, Xialong Liu
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2026
- KDD
Nip Rumors in the Bud: Retrieval-Guided Topic-Level Adaptation for Test-Time Fake News Video Detection
Jian Lang, Rongpei Hong, Ting Zhong, Yong Wang, Fan Zhou
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2026
- KDD
TAMEing Long Contexts in Personalization: Towards Training-Free and State-Aware MLLM Personalized Assistant
Rongpei Hong, Jian Lang, Ting Zhong, Yong Wang, Fan Zhou
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2026
- ML
GNN-Based Spatio-Temporal Manifold Learning: An Application of Landslide Prediction
Liu Yu, Rongfan Li, Kunpeng Zhang, Siyuan Liu, Goce Trajcevski, Jin Wu, Fan Zhou
Machine Learning, 2026
- Neurocomp
COMMANDing anomalies: Continual video anomaly detection via dual-memory and temporal mamba modeling
Yan Liu, Kaiju Li, Md Sabuj Khan, Jian Lang, Rongpei Hong, Kunpeng Zhang, Fan Zhou
Neurocomputing, 2026
- Neurocomp
SCOPE-Diff: A spatiotemporal comprehensive perception diffusion framework for video anomaly detection
Jiati Cai, Yuxun Zhao, Yan Liu, Ting Zhong, Fan Zhou
Neurocomputing, 2026
- PR
Beyond pillars: Advancing 3D object detection with salient voxel enhancement of liDAR-4D radar fusion
Pengfei Yang, Feng Wu, Minyang Liu, Ting Zhong, Fan Zhou
Pattern Recognition, 2026
- PR
CapSRA: LMM-guided caption semantic retrieval aggregation for hateful meme detection
Pengfei Yang, Haoyu Yang, Yili Li, Yong Wang, Jin Wu, Kunpeng Zhang, Fan Zhou
Pattern Recognition, 2026
- PR
Closing the training-sampling gap in conditional diffusion models for versatile image restoration
Yue Lei, Jiati Cai, Wenxin Tai, Ting Zhong, Jin Yin, Kunpeng Zhang, Fan Zhou
Pattern Recognition, 2026
- PR
Generalizing across non-stationary series via learning dynamic causal factors
Weifeng Zhang, Yan Liu, Xovee Xu, Fan Zhou, Ting Zhong, Kunpeng Zhang
Pattern Recognition, 2026
- PR
MoCoPCI: Inter-frame motion correlation guided efficient 3D point cloud interpolation
Pengfei Yang, Feng Wu, Minyang Liu, Ting Zhong, Fan Zhou
Pattern Recognition, 2026
- PR
PalmSecGANNet: Deep learning-based secure palmprint recognition with cancelable templates
Md Sabuj Khan, Ting Zhong, Hengjian Li, Fan Zhou, Muhammad Zamir
Pattern Recognition, 2026
- PRL
Diffusion for regression: A model-agnostic generative approach to controllable speech enhancement
Fang Liu, Siqi Yang, Gang Yang, Wenxin Tai, Yue Lei, Ting Zhong, Fan Zhou
Pattern Recognition Letters, 2026
- SPL
DOSE+: A Timestep-Aware Dropout Strategy for Diffusion Models in Speech Enhancement
Siqi Yang, Jin Wu, Yue Lei, Wenxin Tai, Fan Zhou
IEEE Signal Processing Letters, 2026
- TBD
Aligning Authentic Location Shares With Mobility Information Bottleneck
Qiang Gao, Letian Ning, Li Huang, Chaoran Liu, Xueqin Chen, Fan Zhou
IEEE Transactions on Big Data, 2026
- TCSVT
MATCH: Multi-Agentic Evidence Grounding for Explainable Hate Video Detection
Kaiju Li, Rongpei Hong, Jian Lang, Jin Wu, Fan Zhou, Jingkuan Song
IEEE Transactions on Circuits and Systems for Video Technology, 2026
- TDSC
Shattering Weak Facades: Trustworthy Detection of Encrypted Malicious Traffic via Uncertainty-Aware Fusion
Meihui Zhong, Chengtai Cao, Wenxin Tai, Fan Zhou
IEEE Transactions on Dependable and Secure Computing, 2026
- TIFS
Contextual Masking Distillation for Network Traffic Anomaly Detection
Xinglin Lian, Yu Zheng, Yan Liu, Fan Zhou, Chunlei Peng, Xinbo Gao
IEEE Transactions on Information Forensics and Security, 2026
- TIST
Corrigendum: Score-based Graph Learning for Urban Flow Prediction
Pengyu Wang, Xucheng Luo, Wenxin Tai, Kunpeng Zhang, Goce Trajcevsky, Fan Zhou
ACM Transactions on Intelligent Systems and Technology, 2026
- TMC
Interpolate-Then-Detect: A New Framework of FMCW Radar Object Detection With Frame Interpolation for Autonomous Driving
Pengfei Yang, Minyang Liu, Ting Zhong, Fan Zhou, Kunpeng Zhang, Philip S. Yu
IEEE Transactions on Mobile Computing, 2026
- TMC
Toward Non-Linear, Fast, and Multi-Frame 3D Point Cloud Interpolation in Autonomous Driving
Pengfei Yang, Minyang Liu, Kangqi Xu, Ting Zhong, Fan Zhou
IEEE Transactions on Mobile Computing, 2026
- TMLR
When Active Learning Meets Graph Similarity: Evidential Variance for Graph Selection
Chengtai Cao, Haoyu Yang, Shenglin Wang, Xinglin Lian, Fan Zhou
Transactions on Machine Learning Research, 2026
- TON
Noise Resistant Encrypted Malicious Traffic Detection Through Kernel-Enhanced Contrastive View Alignment
Meihui Zhong, Ting Zhong, Yong Wang, Kai Chen, Fan Zhou
IEEE/ACM Transactions on Networking, 2026
- TPAMI
Consensus-Driven Distillation for Trustworthy Explanations in Self-Interpretable GNNs
Wenxin Tai, Fan Zhou, Steve Azzolin, Goce Trajcevski, Ting Zhong, Kunpeng Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026
- WWW
Evidential Matching, Uncertainty Calibration: Towards Robust Composed Video Retrieval with Noisy Triplets
Zhangtao Cheng, Bozhu Zheng, Ting Zhong, Fan Zhou
The Web Conference, 2026
- AI-ViewChinese
From Model Hallucination to Loss of Control: A Historical Evolution of Agent Safety从模型幻觉到行动失控：智能体安全的历史演化
Wei Wu, Yong Wang, Zhangtao Cheng, Fan Zhou
AI-View (人工智能), 2026
- Comput. Sci.Chinese
Cascade Popularity Prediction via Causal Subgraph Learning基于因果子图学习的级联流行度预测
Kaiju Li, Chenyang Yin, Zhangtao Cheng, Xueting Liu, Fan Zhou
Computer Science (计算机科学), 2026
- Comput. Sci.Chinese
Information Cascade Popularity Prediction via Causal Intervention against Spurious Correlations基于因果干预缓解虚假关联的信息级联流行度预测
Liu Yu, Shuo Li, Ping Kuang, Fan Zhou, Tao Jiang
Computer Science (计算机科学), 2026
- Comput. Sci.Chinese
Temporal Knowledge Graph Reasoning Fusing Graph Information Bottleneck and Transformer融合图信息瓶颈与Transformer的时序知识图谱推理方法
Yichen Xin, Shichong Li, Bin Chen, Zhangtao Cheng, Ye Li, Fan Zhou
Computer Science (计算机科学), 2026
- Comput. Sci.Chinese
Trustworthy IP Geolocation via Graph Neural Networks and Conformal Quantile Regression基于图神经网络和共形分位数回归的可信IP定位方法
Wenxin Tai, Xueting Liu, Xiaohan Wang, Ting Zhong, Yong Wang, Fan Zhou
Computer Science (计算机科学), 2026
- Comput. Sci.Chinese
Video Fake News Detection: Methods, Challenges, and Interpretability视频虚假新闻检测：方法、挑战与可解释性研究
Yili Li, Jietong Yao, Jian Lang, Guobin Zhu, Leiting Chen, Fan Zhou
Computer Science (计算机科学), 2026
202551
- AAAI
Improving Multimodal Social Media Popularity Prediction via Selective Retrieval Knowledge Augmentation
Xovee Xu, Yifan Zhang, Fan Zhou, Jingkuan Song
AAAI Conference on Artificial Intelligence, 2025
- AAAI
In-context Prompt-augmented Micro-video Popularity Prediction
Zhangtao Cheng, Jiao Li, Jian Lang, Ting Zhong, Fan Zhou
AAAI Conference on Artificial Intelligence, 2025
- AAAI
Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning
Jian Lang, Zhangtao Cheng, Ting Zhong, Fan Zhou
AAAI Conference on Artificial Intelligence, 2025
- ACM MM
Bimodal Debiasing for Text-to-Image Diffusion: Adaptive Guidance in Textual and Visual Spaces
Liu Yu, Jiajun Sun, Ping Kuang, Rui Zhou, Fan Zhou, Zhikun Feng
ACM International Conference on Multimedia, 2025
- CN
Mapping the unseen: Robust IP geolocation through the lens of uncertainty quantification
Xueting Liu, Xiaohan Wang, Chao Li, Joojo Walker, Wenxin Tai, Ting Zhong, Yong Wang, Fan Zhou, Kai Chen
Computer Networks, 2025
- COLING
You Only Query Twice: Multimodal Rumor Detection via Evidential Evaluation from Dual Perspectives
Junyi Chen, Leyuan Liu, Tian Lan, Fan Zhou, Xiaosong Zhang
International Conference on Computational Linguistics, 2025
- CSUR
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Chengtai Cao, Fan Zhou, Yurou Dai, Jianping Wang, Kunpeng Zhang
ACM Computing Surveys, 2025
- GLOBECOM
Distilled Multimodal Retrieval Augmentation for User Engagement Prediction
Hongzhu Fu, Yutao Wei, Zhangtao Cheng, Yang Liu, Xing He, Ting Zhong, Fan Zhou
IEEE Global Communications Conference, 2025
- GLOBECOM
Enhancing Graph Unlearning with Semantic and Structural Counterfactual Distillation
Jinyu Hong, Bin Chen, Xing He, Meihui Zhong, Ting Zhong, Fan Zhou
IEEE Global Communications Conference, 2025
- GLOBECOM
PINGeo: Towards Robust IP Geolocation with Adaptive Graph Pruning
Xueting Liu, Xiaohan Wang, Joojo Walker, Ting Zhong, Yong Wang, Fan Zhou, Kai Chen
IEEE Global Communications Conference, 2025
- ICASSP
Bridging the Fairness Gap: Enhancing Pre-trained Models with LLM-Generated Sentences
Liu Yu, Ludie Guo, Ping Kuang, Fan Zhou
IEEE International Conference on Acoustics, Speech and Signal Processing, 2025
- ICASSP
Commonality Augmented Disentanglement for Multimodal Crowdfunding Success Prediction
Jiayang Li, Xovee Xu, Yili Li, Ting Zhong, Kunpeng Zhang, Fan Zhou
IEEE International Conference on Acoustics, Speech and Signal Processing, 2025
- ICC
Selective Anomalous Information Filtering for Enhancing Unsupervised Graph Anomaly Detection
Gege Chen, Yuhao Ma, Meihui Zhong, Wenxin Tai, Bin Chen, Ting Zhong, Fan Zhou
IEEE International Conference on Communications, 2025
- ICC
Towards Self-Explainable Information Cascade Popularity Prediction
Yang Liu, Zhangtao Cheng, Chenyang Yin, Yichen Xin, Zhonghai He, Fan Zhou
IEEE International Conference on Communications, 2025
- ICCV
Borrowing Eyes for the Blind Spot: Overcoming Data Scarcity in Malicious Video Detection Via Cross-Domain Retrieval Augmentation
Rongpei Hong, Jian Lang, Ting Zhong, Fan Zhou
IEEE/CVF International Conference on Computer Vision, 2025
- ICME
Dancing with Noise: Advancing Generative Speech Enhancement with Distribution Augmentation
Yue Lei, Siqi Yang, Wenxin Tai, Xueting Liu, Ting Zhong, Fan Zhou
IEEE International Conference on Multimedia and Expo, 2025
- ICME
Decoding Emotional Silences: Reliable Multimodal Sentiment Analysis with Bipolar Uncertainty
Yutao Wei, Hongzhu Fu, Yuxiang Li, Yichen Xin, Xovee Xu, Fan Zhou, Ting Zhong
IEEE International Conference on Multimedia and Expo, 2025
- ICME
Efficient Diffusion Bridge with Initial-Value Correction Strategy for Super-Resolution
Jiati Cai, Yue Lei, Wenxin Tai, Xing He, Ting Zhong, Jia Chen, Fan Zhou
IEEE International Conference on Multimedia and Expo, 2025
- ICME
Knowledge Graphs Acquisition via Forward-Reverse Relation Enhanced Contrastive Pretraining from Large-scale Models
Liu Yu, Fenghui Tian, Ping Kuang, Zhikun Feng, Fan Zhou
IEEE International Conference on Multimedia and Expo, 2025
- ICME
Missing Pieces, Complete Picture: Navigating Micro-Video Popularity with Flexible Mixture of Modality Experts
Yang Liu, Zhangtao Cheng, Bin Chen, Yan Liu, Xing He, Ting Zhong, Fan Zhou
IEEE International Conference on Multimedia and Expo, 2025
- ICME
Navigating the Implicit Map: Community-Aware Disentangled Experts for Multi-Modal Knowledge Graph Completion
Shichong Li, Bin Chen, Yichen Xin, Zhangtao Cheng, Qing Chen, Ting Zhong, Fan Zhou
IEEE International Conference on Multimedia and Expo, 2025
- ICME
REAL: Retrieval-Augmented Prototype Alignment for Improved Fake News Video Detection
Yili Li, Jian Lang, Rongpei Hong, Qing Chen, Zhangtao Cheng, Jia Chen, Ting Zhong, Fan Zhou
IEEE International Conference on Multimedia and Expo, 2025
- ICML
Redundancy Undermines the Trustworthiness of Self-Interpretable GNNs
Wenxin Tai, Ting Zhong, Goce Trajcevski, Fan Zhou
International Conference on Machine Learning, 2025
- INS
Information diffusion prediction via meta-knowledge learners
Zhangtao Cheng, Jienan Zhang, Xovee Xu, Wenxin Tai, Fan Zhou, Goce Trajcevski, Ting Zhong
Information Sciences, 2025
- IPM
Amplifying commonsense knowledge via bi-directional relation integrated graph-based contrastive pre-training from large language models
Liu Yu, Fenghui Tian, Ping Kuang, Fan Zhou
Information Processing & Management, 2025
- IPM
Augmented graph information bottleneck with type-aware periodicity heterogeneity for explainable crime prediction
Hongzhu Fu, Yutao Wei, Gege Chen, Xing He, Qiang Gao, Fan Zhou
Information Processing & Management, 2025
- IPM
Do not wait: Preemptive rumor detection with cooperative LLMs and accessible social context
Junyi Chen, Leyuan Liu, Fan Zhou
Information Processing & Management, 2025
- IPM
Extracting key insights from earnings call transcript via information-theoretic contrastive learning
Yanlong Huang, Wenxin Tai, Fan Zhou, Qiang Gao, Ting Zhong, Kunpeng Zhang
Information Processing & Management, 2025
- JIIS
Adaptive multi-round retrieval with knowledge distillation for sequential recommendation
Yuhua Mo, Yang Liu, Chaowen Ye, Zhangtao Cheng, Chao Deng, Zhencheng Zhuo, Kaidi Chen, Fan Zhou
Journal of Intelligent Information Systems, 2025
- JISA
Secure and cancelable fingerprint templates with privacy-preserving mapping and template encoding
Md Sabuj Khan, Ting Zhong, Fan Zhou, Hengjian Li
Journal of Information Security and Applications, 2025
- KBS
Learning to discover anomalous spatiotemporal trajectory via Open-world State Space model
Qiang Gao, Chaoran Liu, Li Huang, Goce Trajcevski, Qing Guo, Fan Zhou
Knowledge-Based Systems, 2025
- KBS
Precision through progression: Empowering temporal knowledge graph reasoning with knowledge-guided chain of thought
Zhangtao Cheng, Shichong Li, Yichen Xin, Bin Chen, Ting Zhong, Fan Zhou
Knowledge-Based Systems, 2025
- KDD
Generative Thinking, Corrective Action: User-Friendly Composed Image Retrieval via Automatic Multi-Agent Collaboration
Zhangtao Cheng, Yuhao Ma, Jian Lang, Kunpeng Zhang, Ting Zhong, Yong Wang, Fan Zhou
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025
- KDD
REDEEMing Modality Information Loss: Retrieval-Guided Conditional Generation for Severely Modality Missing Learning
Jian Lang, Rongpei Hong, Zhangtao Cheng, Ting Zhong, Yong Wang, Fan Zhou
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025
- KDD
Seeing the Unseen in Micro-Video Popularity Prediction: Self-Correlation Retrieval for Missing Modality Generation
Zhangtao Cheng, Jian Lang, Ting Zhong, Fan Zhou
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025
- NLPCC
Hate Speech Detection in Somali-English Code-Switched Texts
Abdisalam Badel, Ting Zhong, Xovee Xu, Wenxin Tai, Fan Zhou
CCF International Conference on Natural Language Processing and Chinese Computing, 2025
- SIGIR
Echoes in the Feed: Evolution-aware Prompt-augmented Micro-video Popularity Prediction
Wei Chen, Jiao Li, Jian Lang, Zhangtao Cheng, Yong Wang, Fan Zhou
ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
- SPL
Progressive Skip Connection Improves Consistency of Diffusion-Based Speech Enhancement
Yue Lei, Xucheng Luo, Wenxin Tai, Fan Zhou
IEEE Signal Processing Letters, 2025
- TBD
DucDiff: Dual-Consistent Diffusion for Uncertainty-Aware Information Diffusion Prediction
Ting Zhong, Wenxue Ye, Shichong Li, Yang Liu, Zhangtao Cheng, Fan Zhou, Xueqin Chen
IEEE Transactions on Big Data, 2025
- TBD
Graph-Enhanced Multi-Scale Contrastive Learning for Graph Anomaly Detection With Adaptive Diffusion Models
Chunjing Xiao, Yao Tong, Jiahui Lu, Yuxia Xue, Wenxin Tai, Zhangtao Cheng, Fan Zhou
IEEE Transactions on Big Data, 2025
- TKDE
Disentangling Inter- and Intra-Cascades Dynamics for Information Diffusion Prediction
Zhangtao Cheng, Yang Liu, Ting Zhong, Kunpeng Zhang, Fan Zhou, Philip S. Yu
IEEE Transactions on Knowledge and Data Engineering, 2025
- TNNLS
Reconciling Attribute and Structural Anomalies for Improved Graph Anomaly Detection
Chunjing Xiao, Jiahui Lu, Xovee Xu, Fan Zhou, Tianshu Xie, Wei Lu, Lifeng Xu
IEEE Transactions on Neural Networks and Learning Systems, 2025
- WWW
Biting Off More Than You Can Detect: Retrieval-Augmented Multimodal Experts for Short Video Hate Detection
Jian Lang, Rongpei Hong, Jin Xu, Yili Li, Xovee Xu, Fan Zhou
The Web Conference, 2025
- WWW
Facing Anomalies Head-On: Network Traffic Anomaly Detection via Uncertainty-Inspired Inter-Sample Differences
Xinglin Lian, Chengtai Cao, Yan Liu, Xovee Xu, Yu Zheng, Fan Zhou
The Web Conference, 2025
- WWW
Following Clues, Approaching the Truth: Explainable Micro-Video Rumor Detection via Chain-of-Thought Reasoning
Rongpei Hong, Jian Lang, Jin Xu, Zhangtao Cheng, Ting Zhong, Fan Zhou
The Web Conference, 2025
- WWW Companion
Reward Balancing Revisited: Enhancing Offline Reinforcement Learning for Recommender Systems
Wenzheng Shu, Yanxiang Zeng, Yongxiang Tang, Teng Sha, Ning Luo, Yanhua Cheng, Xialong Liu, Fan Zhou, Peng Jiang
Companion Proceedings of the ACM Web Conference, 2025
- Chin. J. Bases Clin. Gen. Surg.Chinese
Deep Learning-Based Multimodal Fusion for Medical Image Classification: Trends and Prospects面向医学影像图像分类：基于深度学习的多模态融合发展趋势
Jiati Cai, Jin Yin, Fan Zhou, Xiaosong Zhang
Chinese Journal of Bases and Clinics in General Surgery (中国普外基础与临床杂志), 2025
- Comput. Sci.Chinese
A Survey of Data Classification and Grading Techniques数据分类分级技术研究综述
Leyuan Liu, Gege Chen, Wei Wu, Yong Wang, Fan Zhou
Computer Science (计算机科学), 2025
- Comput. Sci.Chinese
Event Causality Identification via Prompt Learning and Hypergraph Learning基于提示学习与超图的事件因果关系识别模型
Zhangtao Cheng, Haoran Huang, He Xue, Leyuan Liu, Ting Zhong, Fan Zhou
Computer Science (计算机科学), 2025
- J. Commun.Chinese
A Survey of IP Geolocation: Theory, Methods, and ApplicationsIP地理定位技术综述：理论、方法与应用创新
Xueting Liu, Wenxin Tai, Fan Zhou, Yong Wang, Kai Chen
Journal on Communications (通信学报), 2025
- Sci. Technol. Eng.Chinese
TopoSMOTE: Imbalanced Learning for Network Intrusion Detection Based on Topological Data AnalysisTopoSMOTE:基于拓扑数据分析的网络入侵检测不平衡学习
Jidong Yan, Meihui Zhong, Fan Zhou
Science Technology and Engineering (科学技术与工程), 2025
202432
- AAAI
Amplifying Diversity and Quality in Commonsense Knowledge Graph Completion (Student Abstract)
Liu Yu, Fenghui Tian, Ping Kuang, Fan Zhou
AAAI Conference on Artificial Intelligence, 2024
- AAAI
Biases Mitigation and Expressiveness Preservation in Language Models: A Comprehensive Pipeline (Student Abstract)
Liu Yu, Ludie Guo, Ping Kuang, Fan Zhou
AAAI Conference on Artificial Intelligence, 2024
- AAAI
Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract)
Wenxue Ye, Shichong Li, Zhangtao Cheng, Xovee Xu, Ting Zhong, Bei Hui, Fan Zhou
AAAI Conference on Artificial Intelligence, 2024
- AAAI
Disentanglement-Guided Spatial-Temporal Graph Neural Network for Metro Flow Forecasting (Student Abstract)
Jinyu Hong, Ping Kuang, Qiang Gao, Fan Zhou
AAAI Conference on Artificial Intelligence, 2024
- AAAI
Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract)
Shikang Pang, Chunjing Xiao, Wenxin Tai, Zhangtao Cheng, Fan Zhou
AAAI Conference on Artificial Intelligence, 2024
- AAAI
Interpreting Temporal Knowledge Graph Reasoning (Student Abstract)
Bin Chen, Kai Yang, Wenxin Tai, Zhangtao Cheng, Leyuan Liu, Ting Zhong, Fan Zhou
AAAI Conference on Artificial Intelligence, 2024
- AAAI
Shallow Diffusion for Fast Speech Enhancement (Student Abstract)
Yue Lei, Bin Chen, Wenxin Tai, Ting Zhong, Fan Zhou
AAAI Conference on Artificial Intelligence, 2024
- AAAI
Spatial-Temporal Augmentation for Crime Prediction (Student Abstract)
Hongzhu Fu, Fan Zhou, Qing Guo, Qiang Gao
AAAI Conference on Artificial Intelligence, 2024
- EMNLP Findings
Natural Evolution-based Dual-Level Aggregation for Temporal Knowledge Graph Reasoning
Bin Chen, Chunjing Xiao, Fan Zhou
Findings of the Association for Computational Linguistics: EMNLP, 2024
- ESWA
Controlled graph neural networks with denoising diffusion for anomaly detection
Xuan Li, Chunjing Xiao, Ziliang Feng, Shikang Pang, Wenxin Tai, Fan Zhou
Expert Systems with Applications, 2024
- ESWA
PGSL: A probabilistic graph diffusion model for source localization
Xovee Xu, Tangjiang Qian, Zhe Xiao, Ni Zhang, Jin Wu, Fan Zhou
Expert Systems with Applications, 2024
- GLOBECOM
Denoising Propagation Uncertainty for Information Source Localization
Leyuan Liu, Zhangtao Cheng, Xovee Xu, Fan Zhou
IEEE Global Communications Conference, 2024
- ICASSP
Exploring Self-Explainable Street-Level IP Geolocation with Graph Information Bottleneck
Kai Yang, Wenxin Tai, Zhenhui Li, Ting Zhong, Guangqiang Yin, Yong Wang, Fan Zhou
IEEE International Conference on Acoustics, Speech and Signal Processing, 2024
- ICME
RRE: A Relevance Relation Extraction Framework for Cross-domain Recommender System at Alipay
Jiayang Gu, Xovee Xu, Yulu Tian, Yurun Hu, Jiadong Huang, Wenliang Zhong, Fan Zhou, Lianli Gao
IEEE International Conference on Multimedia and Expo, 2024
Best Paper Candidate, ICME 2024
- IJCAI
Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator
Qiang Gao, Xiaolong Song, Li Huang, Goce Trajcevski, Fan Zhou, Xueqin Chen
International Joint Conference on Artificial Intelligence, 2024
- INFFUS
Relational Fusion-based Stock Selection with Neural Recursive Ordinary Differential Equation Networks
Qiang Gao, Xinzhu Zhou, Li Huang, Kunpeng Zhang, Siyuan Liu, Fan Zhou
Information Fusion, 2024
- KDD
Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-level Anomaly Detection
Chunjing Xiao, Shikang Pang, Wenxin Tai, Yanlong Huang, Goce Trajcevski, Fan Zhou
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
- KDD
Retrieval-Augmented Hypergraph for Multimodal Social Media Popularity Prediction
Zhangtao Cheng, Jienan Zhang, Xovee Xu, Goce Trajcevski, Ting Zhong, Fan Zhou
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
- SIGIR
Analyzing and Mitigating Repetitions in Trip Recommendation
Wenzheng Shu, Kangqi Xu, Wenxin Tai, Ting Zhong, Yong Wang, Fan Zhou
ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
- SIGIR
Information Diffusion Prediction via Cascade-Retrieved In-context Learning
Ting Zhong, Jienan Zhang, Zhangtao Cheng, Fan Zhou, Xueqin Chen
ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
- SIGIR
Predicting Micro-video Popularity via Multi-modal Retrieval Augmentation
Ting Zhong, Jian Lang, Yifan Zhang, Zhangtao Cheng, Kunpeng Zhang, Fan Zhou
ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
- SIGIR
Self-Explainable Next POI Recommendation
Kai Yang, Yi Yang, Qiang Gao, Ting Zhong, Yong Wang, Fan Zhou
ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
- TCSS
Counterfactual Data Augmentation With Denoising Diffusion for Graph Anomaly Detection
Chunjing Xiao, Shikang Pang, Xovee Xu, Xuan Li, Goce Trajcevski, Fan Zhou
IEEE Transactions on Computational Social Systems, 2024
- TCYB
Learning Spatiotemporal Manifold Representation for Probabilistic Land Deformation Prediction
Xovee Xu, Ting Zhong, Fan Zhou, Rongfan Li, Goce Trajcevski, Qinggang Meng
IEEE Transactions on Cybernetics, 2024
- TIST
Inferring Real Mobility in Presence of Fake Check-ins Data
Qiang Gao, Hongzhu Fu, Kunpeng Zhang, Goce Trajcevski, Xu Teng, Fan Zhou
ACM Transactions on Intelligent Systems and Technology, 2024
- TIST
Score-based Graph Learning for Urban Flow Prediction
Pengyu Wang, Xucheng Luo, Wenxin Tai, Kunpeng Zhang, Goce Trajcevski, Fan Zhou
ACM Transactions on Intelligent Systems and Technology, 2024
- TKDE
Information Cascade Popularity Prediction via Probabilistic Diffusion
Zhangtao Cheng, Fan Zhou, Xovee Xu, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Philip S. Yu
IEEE Transactions on Knowledge and Data Engineering, 2024
- TKDE
Predicting Human Mobility via Self-Supervised Disentanglement Learning
Qiang Gao, Jinyu Hong, Xovee Xu, Ping Kuang, Fan Zhou, Goce Trajcevski
IEEE Transactions on Knowledge and Data Engineering, 2024
- TSAS
Data Issues in High-Definition Maps Furniture - A Survey
Andi Zang, Runsheng Xu, Goce Trajcevski, Fan Zhou
ACM Transactions on Spatial Algorithms and Systems, 2024
- TSAS
Overcoming Catastrophic Forgetting in Continual Fine-Grained Urban Flow Inference
Xovee Xu, Ting Zhong, Haoyang Yu, Fan Zhou, Goce Trajcevski
ACM Transactions on Spatial Algorithms and Systems, 2024
- Comput. Sci.Chinese
Event Prediction on Dynamic Graphs via Local Data Augmentation基于局部数据增强动态图的事件预测
Lei Pan, Xin Liu, Junyi Chen, Zhangtao Cheng, Leyuan Liu, Fan Zhou
Computer Science (计算机科学), 2024
- J. Comput. Res. Dev.Chinese
A Survey of User Geolocation Prediction in Online Social Networks在线社交网络中用户地理位置预测综述
Leyuan Liu, Yurou Dai, Yanan Cao, Fan Zhou
Journal of Computer Research and Development (计算机研究与发展), 2024
202344
- AAAI
A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract)
Tangjiang Qian, Xovee Xu, Zhe Xiao, Ting Zhong, Fan Zhou
AAAI Conference on Artificial Intelligence, 2023
- AAAI
CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract)
Zhangtao Cheng, Xovee Xu, Ting Zhong, Fan Zhou, Goce Trajcevski
AAAI Conference on Artificial Intelligence, 2023
- AAAI
Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract)
Yuzhou Mao, Liu Yu, Yi Yang, Fan Zhou, Ting Zhong
AAAI Conference on Artificial Intelligence, 2023
- AAAI
DyCVAE: Learning Dynamic Causal Factors for Non-stationary Series Domain Generalization (Student Abstract)
Weifeng Zhang, Zhiyuan Wang, Kunpeng Zhang, Ting Zhong, Fan Zhou
AAAI Conference on Artificial Intelligence, 2023
- AAAI
Exploring Hypergraph of Earnings Call for Risk Prediction (Student Abstract)
Yi He, Wenxin Tai, Fan Zhou, Yi Yang
AAAI Conference on Artificial Intelligence, 2023
- AAAI
Learning Dynamic Temporal Relations with Continuous Graph for Multivariate Time Series Forecasting (Student Abstract)
Zhiyuan Wang, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong
AAAI Conference on Artificial Intelligence, 2023
- AAAI
Mobility Prediction via Sequential Trajectory Disentanglement (Student Abstract)
Jinyu Hong, Fan Zhou, Qiang Gao, Ping Kuang, Kunpeng Zhang
AAAI Conference on Artificial Intelligence, 2023
- AAAI
Overcoming Forgetting in Fine-Grained Urban Flow Inference via Adaptive Knowledge Replay
Haoyang Yu, Xovee Xu, Ting Zhong, Fan Zhou
AAAI Conference on Artificial Intelligence, 2023
- AAAI
Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement
Wenxin Tai, Fan Zhou, Goce Trajcevski, Ting Zhong
AAAI Conference on Artificial Intelligence, 2023
- ACL
Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning
Fan Zhou, Yuzhou Mao, Liu Yu, Yi Yang, Ting Zhong
Annual Meeting of the Association for Computational Linguistics, 2023
- CIKM
Enhancing Information Diffusion Prediction with Self-Supervised Disentangled User and Cascade Representations
Zhangtao Cheng, Wenxue Ye, Leyuan Liu, Wenxin Tai, Fan Zhou
ACM International Conference on Information and Knowledge Management, 2023
- CIKM
MDCC: A Multimodal Dynamic Dataset for Donation-based Crowdfunding Campaigns
Xovee Xu, Jiayang Li, Fan Zhou
ACM International Conference on Information and Knowledge Management, 2023
- CIKM
Simplifying Temporal Heterogeneous Network for Continuous-Time Link prediction
Ce Li, Rongpei Hong, Xovee Xu, Goce Trajcevski, Fan Zhou
ACM International Conference on Information and Knowledge Management, 2023
- CIKM
Towards Trustworthy Rumor Detection with Interpretable Graph Structural Learning
Leyuan Liu, Junyi Chen, Zhangtao Cheng, Wenxin Tai, Fan Zhou
ACM International Conference on Information and Knowledge Management, 2023
- EMNLP
Somali Information Retrieval Corpus: Bridging the Gap between Query Translation and Dedicated Language Resources
Abdisalam Badel, Ting Zhong, Wenxin Tai, Fan Zhou
Conference on Empirical Methods in Natural Language Processing, 2023
- ESWA
Exploring indirect entity relations for knowledge graph enhanced recommender system
Zhonghai He, Bei Hui, Shengming Zhang, Chunjing Xiao, Ting Zhong, Fan Zhou
Expert Systems with Applications, 2023
- GLOBECOM
Self-Supervised Rumor Detection with Augmented Variational Graphs
Leyuan Liu, Junyi Chen, Liu Yu, Fan Zhou
IEEE Global Communications Conference, 2023
- ICASSP
Diffusion Probabilistic Modeling for Fine-Grained Urban Traffic Flow Inference with Relaxed Structural Constraint
Xovee Xu, Yutao Wei, Pengyu Wang, Xucheng Luo, Fan Zhou, Goce Trajcevski
IEEE International Conference on Acoustics, Speech and Signal Processing, 2023
- ICC
Multi-modal Representation Learning for Social Post Location Inference
Ruiting Dai, Jiayi Luo, Xucheng Luo, Lisi Mo, Wanlun Ma, Fan Zhou
IEEE International Conference on Communications, 2023
- ICC
Trajectory-User Linking via Trajectory Convolution
Xucheng Luo, Yan Wu, Jin Wu, Fan Zhou
IEEE International Conference on Communications, 2023
- IJCAI
Open Anomalous Trajectory Recognition via Probabilistic Metric Learning
Qiang Gao, Xiaohan Wang, Chaoran Liu, Goce Trajcevski, Li Huang, Fan Zhou
International Joint Conference on Artificial Intelligence, 2023
- KBS
Dynamic transformer ODEs for large-scale reservoir inflow forecasting
Xovee Xu, Zhiyuan Wang, Fan Zhou, Ying Huang, Ting Zhong, Goce Trajcevski
Knowledge-Based Systems, 2023
- KDD
Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models
Chunjing Xiao, Zehua Gou, Wenxin Tai, Kunpeng Zhang, Fan Zhou
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
- KDD
TrustGeo: Uncertainty-Aware Dynamic Graph Learning for Trustworthy IP Geolocation
Wenxin Tai, Bin Chen, Fan Zhou, Ting Zhong, Goce Trajcevski, Yong Wang, Kai Chen
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
- MDM
RIPGeo: Robust Street-Level IP Geolocation
Wenxin Tai, Bin Chen, Ting Zhong, Yong Wang, Kai Chen, Fan Zhou
IEEE International Conference on Mobile Data Management, 2023
Best Student Paper, MDM 2023
- NeurIPS
DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement
Wenxin Tai, Yue Lei, Fan Zhou, Goce Trajcevski, Ting Zhong
Conference on Neural Information Processing Systems, 2023
- NeurIPS
Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork
Qiang Gao, Xiaojun Shan, Yuchen Zhang, Fan Zhou
Conference on Neural Information Processing Systems, 2023
- Neurocomp
When Friendship Meets Sequential Human Check-ins: Inferring Social Circles with Variational Mobility
Qiang Gao, Fan Zhou, Xin Yang, Guisong Liu
Neurocomputing, 2023
- SIGIR
Mixup-based Unified Framework to Overcome Gender Bias Resurgence
Liu Yu, Yuzhou Mao, Jin Wu, Fan Zhou
ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
- TBD
Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference
Xovee Xu, Zhiyuan Wang, Qiang Gao, Ting Zhong, Bei Hui, Fan Zhou, Goce Trajcevski
IEEE Transactions on Big Data, 2023
- TII
Reservoir Inflow Forecasting in Hydropower Industry: A Generative Flow-Based Approach
Fan Zhou, Zhiyuan Wang, Dajiang Chen, Kuan Zhang
IEEE Transactions on Industrial Informatics, 2023
- TKDE
CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction
Xovee Xu, Fan Zhou, Kunpeng Zhang, Siyuan Liu, Goce Trajcevski
IEEE Transactions on Knowledge and Data Engineering, 2023
- TKDE
CCGL: Contrastive Cascade Graph Learning
Xovee Xu, Fan Zhou, Kunpeng Zhang, Siyuan Liu
IEEE Transactions on Knowledge and Data Engineering, 2023
- TKDE
Counterfactual Graph Learning for Anomaly Detection on Attributed Networks
Chunjing Xiao, Xovee Xu, Yue Lei, Kunpeng Zhang, Siyuan Liu, Fan Zhou
IEEE Transactions on Knowledge and Data Engineering, 2023
- TKDE
Semi-Supervised Anomaly Detection Via Neural Process
Fan Zhou, Guanyu Wang, Kunpeng Zhang, Siyuan Liu, Ting Zhong
IEEE Transactions on Knowledge and Data Engineering, 2023
- TMC
Self-Supervised Few-Shot Time-Series Segmentation for Activity Recognition
Chunjing Xiao, Shiming Chen, Fan Zhou, Jie Wu
IEEE Transactions on Mobile Computing, 2023
- TNNLS
Adversarial Human Trajectory Learning for Trip Recommendation
Qiang Gao, Fan Zhou, Kunpeng Zhang, Fengli Zhang, Goce Trajcevski
IEEE Transactions on Neural Networks and Learning Systems, 2023
- TNNLS
MetaGeo: A General Framework for Social User Geolocation Identification With Few-Shot Learning
Fan Zhou, Xiuxiu Qi, Kunpeng Zhang, Goce Trajcevski, Ting Zhong
IEEE Transactions on Neural Networks and Learning Systems, 2023
- TSMC
Uncertainty-Aware Heterogeneous Representation Learning in POI Recommender Systems
Fan Zhou, Tangjiang Qian, Yuhua Mo, Zhangtao Cheng, Chunjing Xiao, Jin Wu, Goce Trajcevski
IEEE Transactions on Systems, Man, and Cybernetics, 2023
- UMUAI
Improving session-based recommendation with contrastive learning
Wenxin Tai, Tian Lan, Zufeng Wu, Pengyu Wang, Yixiang Wang, Fan Zhou
User Modeling and User-Adapted Interaction, 2023
- Comput. Sci.Chinese
Self-Supervised Flight Trajectory Prediction via Data Augmentation基于数据增强的自监督飞行航迹预测
Pengyu Wang, Wenxin Tai, Fang Liu, Ting Zhong, Xucheng Luo, Fan Zhou
Computer Science (计算机科学), 2023
- J. UESTCChinese
Research and Implementation of an Efficient Long-Sequence Water Level Prediction Model高效长序列水位预测模型的研究与实现
Yin Huang, Jian Xu, Ziqi Zhou, Shupei Chen, Fan Zhou, Sheng Cao
Journal of University of Electronic Science and Technology of China (电子科技大学学报), 2023
- Sci. Technol. Eng.Chinese
An ADS-B Signal Enhancement and Target Recognition Method Based on Deep Generative Models一种基于深度生成模型的ADS-B信号增强和目标识别方法
Lican Dai, Yuexin Yang, Leyuan Liu, Fan Zhou
Science Technology and Engineering (科学技术与工程), 2023
- Sci. Technol. Eng.Chinese
Anomaly Detection of Dynamic Operating Parameters Based on Empirical Coupling Functions基于经验耦合函数的动态运行参数异常检测
Ke Song, Tangjiang Qian, Bin Wu, Yongxu Chen, Ting Zhong, Fan Zhou
Science Technology and Engineering (科学技术与工程), 2023
202237
- AAAI
A Probabilistic Framework for Land Deformation Prediction (Student Abstract)
Rongfan Li, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong
AAAI Conference on Artificial Intelligence, 2022
- AAAI
Conditional Collaborative Filtering Process for Top-K Recommender System (Student Abstract)
Guanyu Wang, Xovee Xu, Ting Zhong, Fan Zhou
AAAI Conference on Artificial Intelligence, 2022
- AAAI
Dynamic Manifold Learning for Land Deformation Forecasting
Fan Zhou, Rongfan Li, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong
AAAI Conference on Artificial Intelligence, 2022
- AAAI
Fine-Grained Urban Flow Inference via Normalizing Flow (Student Abstract)
Haoyang Yu, Xovee Xu, Ting Zhong, Fan Zhou
AAAI Conference on Artificial Intelligence, 2022
- AAAI
Large-Scale IP Usage Identification via Deep Ensemble Learning (Student Abstract)
Zhiyuan Wang, Fan Zhou, Kunpeng Zhang, Yong Wang
AAAI Conference on Artificial Intelligence, 2022
- AAAI
Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract)
Zhangtao Cheng, Ting Zhong, Kunpeng Zhang, Joojo Walker, Fan Zhou
AAAI Conference on Artificial Intelligence, 2022
- AAAI
Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract)
Liu Yu, Xovee Xu, Ting Zhong, Goce Trajcevski, Fan Zhou
AAAI Conference on Artificial Intelligence, 2022
- AAAI
PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model
Zhiyuan Wang, Xovee Xu, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fan Zhou
AAAI Conference on Artificial Intelligence, 2022
- CIS
Implicit optimal variational collaborative filtering
Joojo Walker, Fan Zhou, Edward Yellakuor Baagyere, Emmanuel Ahene, Fengli Zhang
Complex & Intelligent Systems, 2022
- CSUR
A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances
Fan Zhou, Xovee Xu, Goce Trajcevski, Kunpeng Zhang
ACM Computing Surveys, 2022
- ICASSP
Probabilistic Fine-Grained Urban Flow Inference with Normalizing Flows
Ting Zhong, Haoyang Yu, Rongfan Li, Xovee Xu, Xucheng Luo, Fan Zhou
IEEE International Conference on Acoustics, Speech and Signal Processing, 2022
- IEEE Netw.
Identifying IP Usage Scenarios: Problems, Data, and Benchmarks
Fan Zhou, Weifeng Zhang, Yong Wang, Ting Zhong, Goce Trajcevski, Ashfaq Khokhar
IEEE Network, 2022
- IJCNN
Modeling Multi-View Interactions with Contrastive Graph Learning for Collaborative Filtering
Zhangtao Cheng, Joojo Walker, Ting Zhong, Fan Zhou
International Joint Conference on Neural Networks, 2022
- IJIS
HydroFlow: Towards probabilistic electricity demand prediction using variational autoregressive models and normalizing flows
Fan Zhou, Zhiyuan Wang, Ting Zhong, Goce Trajcevski, Ashfaq Khokhar
International Journal of Intelligent Systems, 2022
- IJIS
Multi-scale graph capsule with influence attention for information cascades prediction
Xueqin Chen, Fengli Zhang, Fan Zhou, Marcello M. Bonsangue
International Journal of Intelligent Systems, 2022
- IJIS
Social-trust-aware variational recommendation
Joojo Walker, Fengli Zhang, Fan Zhou, Ting Zhong
International Journal of Intelligent Systems, 2022
- INFFUS
Identifying user geolocation with Hierarchical Graph Neural Networks and explainable fusion
Fan Zhou, Tianliang Wang, Ting Zhong, Goce Trajcevski
Information Fusion, 2022
- INFOCOM
CausalRD: A Causal View of Rumor Detection via Eliminating Popularity and Conformity Biases
Weifeng Zhang, Ting Zhong, Ce Li, Kunpeng Zhang, Fan Zhou
IEEE Conference on Computer Communications, 2022
- INS
Contextual spatio-temporal graph representation learning for reinforced human mobility mining
Qiang Gao, Fan Zhou, Ting Zhong, Goce Trajcevski, Xin Yang, Tianrui Li
Information Sciences, 2022
- INS
Variational cold-start resistant recommendation
Joojo Walker, Fengli Zhang, Ting Zhong, Fan Zhou, Edward Yellakuor Baagyere
Information Sciences, 2022
- KBS
Heterogeneous dynamical academic network for learning scientific impact propagation
Xovee Xu, Ting Zhong, Ce Li, Goce Trajcevski, Fan Zhou
Knowledge-Based Systems, 2022
- KBS
Multi-view learning with distinguishable feature fusion for rumor detection
Xueqin Chen, Fan Zhou, Goce Trajcevski, Marcello M. Bonsangue
Knowledge-Based Systems, 2022
- KBS
Transformer-enhanced Hawkes process with decoupling training for information cascade prediction
Liu Yu, Xovee Xu, Goce Trajcevski, Fan Zhou
Knowledge-Based Systems, 2022
- KDD
Connecting the Hosts: Street-Level IP Geolocation with Graph Neural Networks
Zhiyuan Wang, Fan Zhou, Wenxuan Zeng, Goce Trajcevski, Chunjing Xiao, Yong Wang, Kai Chen
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022
- KDD
Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning
Rongfan Li, Ting Zhong, Xinke Jiang, Goce Trajcevski, Jin Wu, Fan Zhou
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022
- KSEM
Recommendation via Collaborative Diffusion Generative Model
Joojo Walker, Ting Zhong, Fengli Zhang, Qiang Gao, Fan Zhou
International Conference on Knowledge Science, Engineering and Management, 2022
- MDM
Integrating Heterogeneous Sources for Learned Prediction of Vehicular Data Consumption
Andi Zang, Xiaofeng Zhu, Ce Li, Fan Zhou, Goce Trajcevski
IEEE International Conference on Mobile Data Management, 2022
- NeurIPS
Learning Latent Seasonal-Trend Representations for Time Series Forecasting
Zhiyuan Wang, Xovee Xu, Weifeng Zhang, Goce Trajcevski, Ting Zhong, Fan Zhou
Conference on Neural Information Processing Systems, 2022
- Remote Sens.
Landslide Displacement Prediction via Attentive Graph Neural Network
Ping Kuang, Rongfan Li, Ying Huang, Jin Wu, Xucheng Luo, Fan Zhou
Remote Sensing, 2022
- SPL
Learning Sentimental and Financial Signals With Normalizing Flows for Stock Movement Prediction
Wenxin Tai, Ting Zhong, Yuhua Mo, Fan Zhou
IEEE Signal Processing Letters, 2022
- TCYB
MetaMove: On Improving Human Mobility Classification and Prediction via Metalearning
Fan Zhou, Xin Liu, Ting Zhong, Goce Trajcevski
IEEE Transactions on Cybernetics, 2022
- TIST
Contrastive Trajectory Learning for Tour Recommendation
Fan Zhou, Pengyu Wang, Xovee Xu, Wenxin Tai, Goce Trajcevski
ACM Transactions on Intelligent Systems and Technology, 2022
- Comput. Sci.Chinese
A Probabilistic Meta-Learning Fusion Algorithm for Matrix Completion Prediction基于概率元学习的矩阵补全预测融合算法
Xiuxiu Qi, Jiahao Wang, Wenxiong Li, Fan Zhou
Computer Science (计算机科学), 2022
- Comput. Sci.Chinese
A Survey of Deep Learning Techniques for FinTech面向金融科技的深度学习技术综述
Fan Zhou, Xiaodie Chen, Ting Zhong, Jin Wu
Computer Science (计算机科学), 2022
- Comput. Sci.Chinese
A Survey of Graph Learning for Recommender Systems基于图学习的推荐系统研究综述
Zhangtao Cheng, Ting Zhong, Shengming Zhang, Fan Zhou
Computer Science (计算机科学), 2022
- Comput. Sci.Chinese
Collaborative Filtering Recommendation Based on Vector Quantization Coding基于矢量量化编码的协同过滤推荐方法
Guanyu Wang, Ting Zhong, Yu Feng, Fan Zhou
Computer Science (计算机科学), 2022
- Comput. Sci.Chinese
Spatio-Temporal Attention Kriging for Slope Deformation Data Interpolation基于时空注意力克里金的边坡形变数据插值方法
Rongfan Li, Ting Zhong, Jin Wu, Fan Zhou, Ping Kuang
Computer Science (计算机科学), 2022
202126
- AAAI
Forecasting Reservoir Inflow via Recurrent Neural ODEs
Fan Zhou, Liang Li
AAAI Conference on Artificial Intelligence, 2021
- AAAI
Land Deformation Prediction via Slope-Aware Graph Neural Networks
Fan Zhou, Rongfan Li, Goce Trajcevski, Kunpeng Zhang
AAAI Conference on Artificial Intelligence, 2021
- AAAI
Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay
Fan Zhou, Chengtai Cao
AAAI Conference on Artificial Intelligence, 2021
- CIKM
Vector-Quantized Autoencoder With Copula for Collaborative Filtering
Guanyu Wang, Ting Zhong, Xovee Xu, Kunpeng Zhang, Fan Zhou, Yong Wang
ACM International Conference on Information and Knowledge Management, 2021
- ESWA
Learning meta-knowledge for few-shot image emotion recognition
Fan Zhou, Chengtai Cao, Ting Zhong, Ji Geng
Expert Systems with Applications, 2021
- GeoInf.
Improving human mobility identification with trajectory augmentation
Fan Zhou, Ruiyang Yin, Goce Trajcevski, Kunpeng Zhang, Jin Wu, Ashfaq Khokhar
GeoInformatica, 2021
- GLOBECOM
HGENA: A Hyperbolic Graph Embedding Approach for Network Alignment
Fan Zhou, Ce Li, Xovee Xu, Leyuan Liu, Goce Trajcevski
IEEE Global Communications Conference, 2021
- GLOBECOM
Kernel-Based Structural-Temporal Cascade Learning for Popularity Prediction
Ce Li, Fan Zhou, Xucheng Luo, Goce Trajcevski
IEEE Global Communications Conference, 2021
- ICASSP
Inferring High-Resolutional Urban Flow With Internet Of Mobile Things
Fan Zhou, Xin Jing, Liang Li, Ting Zhong
IEEE International Conference on Acoustics, Speech and Signal Processing, 2021
- ICASSP
Probabilistic Graph Neural Networks for Traffic Signal Control
Ting Zhong, Zheyang Xu, Fan Zhou
IEEE International Conference on Acoustics, Speech and Signal Processing, 2021
- ICASSP
Traffic Speed Forecasting Via Spatio-Temporal Attentive Graph Isomorphism Network
Qing Yang, Ting Zhong, Fan Zhou
IEEE International Conference on Acoustics, Speech and Signal Processing, 2021
- ICC
Trajectory-User Linking via Graph Neural Network
Fan Zhou, Shupei Chen, Jin Wu, Chengtai Cao, Shengming Zhang
IEEE International Conference on Communications, 2021
- IJIS
Modeling microscopic and macroscopic information diffusion for rumor detection
Xueqin Chen, Fan Zhou, Fengli Zhang, Marcello M. Bonsangue
International Journal of Intelligent Systems, 2021
- IJIS
Uncertainty-aware network alignment
Fan Zhou, Ce Li, Zijing Wen, Ting Zhong, Goce Trajcevski, Ashfaq Khokhar
International Journal of Intelligent Systems, 2021
- IJOC
Unifying Online and Offline Preference for Social Link Prediction
Fan Zhou, Kunpeng Zhang, Bangying Wu, Yi Yang, Harry Jiannan Wang
INFORMS Journal on Computing, 2021
- INS
MetaRisk: Semi-supervised few-shot operational risk classification in banking industry
Fan Zhou, Xiuxiu Qi, Chunjing Xiao, Jiahao Wang
Information Sciences, 2021
- IoTJ
DeepSeg: Deep-Learning-Based Activity Segmentation Framework for Activity Recognition Using WiFi
Chunjing Xiao, Yue Lei, Yongsen Ma, Fan Zhou, Zhiguang Qin
IEEE Internet of Things Journal, 2021
- IPM
Catch me if you can: A participant-level rumor detection framework via fine-grained user representation learning
Xueqin Chen, Fan Zhou, Fengli Zhang, Marcello M. Bonsangue
Information Processing & Management, 2021
- KBS
Self-supervised human mobility learning for next location prediction and trajectory classification
Fan Zhou, Yurou Dai, Qiang Gao, Pengyu Wang, Ting Zhong
Knowledge-Based Systems, 2021
- MDM
Towards Predicting Vehicular Data Consumption
Andi Zang, Xiaofeng Zhu, Yuxiang Guo, Fan Zhou, Goce Trajcevski
IEEE International Conference on Mobile Data Management, 2021
- SIGIR
Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction
Fan Zhou, Liu Yu, Xovee Xu, Goce Trajcevski
ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
- SIGIR
Rumor Detection on Social Media with Event Augmentations
Zhenyu He, Ce Li, Fan Zhou, Yi Yang
ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
- TII
Variational Graph Neural Networks for Road Traffic Prediction in Intelligent Transportation Systems
Fan Zhou, Qing Yang, Ting Zhong, Dajiang Chen, Ning Zhang
IEEE Transactions on Industrial Informatics, 2021
- TNNLS
Toward Discriminating and Synthesizing Motion Traces Using Deep Probabilistic Generative Models
Fan Zhou, Xin Liu, Kunpeng Zhang, Goce Trajcevski
IEEE Transactions on Neural Networks and Learning Systems, 2021
- J. Comput. Appl.Chinese
A Self-Supervised Learning Model for User Trajectory Prediction in Social Networks基于自监督学习的社交网络用户轨迹预测模型
Yurou Dai, Qing Yang, Fengli Zhang, Fan Zhou
Journal of Computer Applications (计算机应用), 2021
- J. UESTCChinese
User Trajectory Classification Based on Graph Neural Networks基于图神经网络的用户轨迹分类
Jin Wu, Shupei Chen, Qing Yang, Fan Zhou
Journal of University of Electronic Science and Technology of China (电子科技大学学报), 2021
202016
- ACL
Interpretable Operational Risk Classification with Semi-Supervised Variational Autoencoder
Fan Zhou, Shengming Zhang, Yi Yang
Annual Meeting of the Association for Computational Linguistics, 2020
- ACL
Interpreting Twitter User Geolocation
Ting Zhong, Tianliang Wang, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Yi Yang
Annual Meeting of the Association for Computational Linguistics, 2020
- GLOBECOM
Adversity-based Social Circles Inference via Context-Aware Mobility
Qiang Gao, Fan Zhou, Goce Trajcevski, Fengli Zhang, Xucheng Luo
IEEE Global Communications Conference, 2020
- GLOBECOM
Continual Information Cascade Learning
Fan Zhou, Xin Jing, Xovee Xu, Ting Zhong, Goce Trajcevski, Jin Wu
IEEE Global Communications Conference, 2020
- GLOBECOM
Meta-Learned User Preference for Topic Participation Prediction
Fan Zhou, Xiuxiu Qi, Xovee Xu, Jiahao Wang, Ting Zhong, Goce Trajcevski
IEEE Global Communications Conference, 2020
- GLOBECOM
Unsupervised User Identity Linkage via Graph Neural Networks
Fan Zhou, Zijing Wen, Ting Zhong, Goce Trajcevski, Xovee Xu, Leyuan Liu
IEEE Global Communications Conference, 2020
- IJCAI
Enhancing Urban Flow Maps via Neural ODEs
Fan Zhou, Liang Li, Ting Zhong, Goce Trajcevski, Kunpeng Zhang, Jiahao Wang
International Joint Conference on Artificial Intelligence, 2020
- IJOC
Learning to Correlate Accounts Across Online Social Networks: An Embedding-Based Approach
Fan Zhou, Kunpeng Zhang, Shuying Xie, Xucheng Luo
INFORMS Journal on Computing, 2020
- INFOCOM
Fast Network Alignment via Graph Meta-Learning
Fan Zhou, Chengtai Cao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Ji Geng
IEEE Conference on Computer Communications, 2020
- INFOCOM
Variational Information Diffusion for Probabilistic Cascades Prediction
Fan Zhou, Xovee Xu, Kunpeng Zhang, Goce Trajcevski, Ting Zhong
IEEE Conference on Computer Communications, 2020
- IoTJ
Reinforced Spatiotemporal Attentive Graph Neural Networks for Traffic Forecasting
Fan Zhou, Qing Yang, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Ashfaq Khokhar
IEEE Internet of Things Journal, 2020
- KDD
Forecasting the Evolution of Hydropower Generation
Fan Zhou, Liang Li, Kunpeng Zhang, Goce Trajcevski, Fuming Yao, Ying Huang, Ting Zhong, Jiahao Wang, Qiao Liu
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
- Neurocomp
Session-based recommendation via flow-based deep generative networks and Bayesian inference
Ting Zhong, Zijing Wen, Fan Zhou, Goce Trajcevski, Kunpeng Zhang
Neurocomputing, 2020
- NN
Recommendation via Collaborative Autoregressive Flows
Fan Zhou, Yuhua Mo, Goce Trajcevski, Kunpeng Zhang, Jin Wu, Ting Zhong
Neural Networks, 2020
- TSAS
Semi-supervised Trajectory Understanding with POI Attention for End-to-End Trip Recommendation
Fan Zhou, Hantao Wu, Goce Trajcevski, Ashfaq Khokhar, Kunpeng Zhang
ACM Transactions on Spatial Algorithms and Systems, 2020
- WWW J.
Hybrid graph convolutional networks with multi-head attention for location recommendation
Ting Zhong, Shengming Zhang, Fan Zhou, Kunpeng Zhang, Goce Trajcevski, Jin Wu
World Wide Web, 2020
20199
- CIKM
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning
Fan Zhou, Chengtai Cao, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Ji Geng
ACM International Conference on Information and Knowledge Management, 2019
- ICDE
Information Diffusion Prediction via Recurrent Cascades Convolution
Xueqin Chen, Fan Zhou, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Fengli Zhang
IEEE International Conference on Data Engineering, 2019
- INFOCOM
Disentangled Network Alignment with Matching Explainability
Fan Zhou, Zijing Wen, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fang Liu
IEEE Conference on Computer Communications, 2019
- SIGIR
Information Cascades Modeling via Deep Multi-Task Learning
Xueqin Chen, Kunpeng Zhang, Fan Zhou, Goce Trajcevski, Ting Zhong, Fengli Zhang
ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
- SIGSPATIAL
DeepTrip: Adversarially Understanding Human Mobility for Trip Recommendation
Qiang Gao, Goce Trajcevski, Fan Zhou, Kunpeng Zhang, Ting Zhong, Fengli Zhang
ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019
- WWW
Adversarial Point-of-Interest Recommendation
Fan Zhou, Ruiyang Yin, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Jin Wu
The Web Conference, 2019
- WWW
Context-aware Variational Trajectory Encoding and Human Mobility Inference
Fan Zhou, Xiaoli Yue, Goce Trajcevski, Ting Zhong, Kunpeng Zhang
The Web Conference, 2019
- WWW
Predicting Human Mobility via Variational Attention
Qiang Gao, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fengli Zhang
The Web Conference, 2019
- WWW
Variational Session-based Recommendation Using Normalizing Flows
Fan Zhou, Zijing Wen, Kunpeng Zhang, Goce Trajcevski, Ting Zhong
The Web Conference, 2019
20185
- CIKM
vec2Link: Unifying Heterogeneous Data for Social Link Prediction
Fan Zhou, Bangying Wu, Yi Yang, Goce Trajcevski, Kunpeng Zhang, Ting Zhong
ACM International Conference on Information and Knowledge Management, 2018
- IJCAI
Trajectory-User Linking via Variational AutoEncoder
Fan Zhou, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fengli Zhang
International Joint Conference on Artificial Intelligence, 2018
- INFOCOM
DeepLink: A Deep Learning Approach for User Identity Linkage
Fan Zhou, Lei Liu, Kunpeng Zhang, Goce Trajcevski, Jin Wu, Ting Zhong
IEEE Conference on Computer Communications, 2018
- SIGSPATIAL
Trajectory-based social circle inference
Qiang Gao, Goce Trajcevski, Fan Zhou, Kunpeng Zhang, Ting Zhong, Fengli Zhang
ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018
- Appl. Res. Comput.Chinese
Anomaly Pattern Mining of Resource Pool Nodes Based on an Improved Eclat Algorithm基于改进Eclat算法的资源池节点异常模式挖掘
Qiang Gao, Fengli Zhang, Xueqin Chen, Xinyun Wang, Zhenwei Geng, Fan Zhou
Application Research of Computers (计算机应用研究), 2018
20175
- Ad Hoc Netw.
Bypassing holes in sensor networks: Load-balance vs. latency
Fan Zhou, Goce Trajcevski, Roberto Tamassia, Besim Avci, Ashfaq Khokhar, Peter Scheuermann
Ad Hoc Networks, 2017
- BigCom
Association Rules Mining with Quantum Computing and Quantum Storage
Qiang Gao, Fengli Zhang, Rui-Jin Wang, Fan Zhou
International Conference on Big Data Computing and Communications, 2017
- COMCOM
Efficient detection of motion-trend predicates in wireless sensor networks
Besim Avci, Goce Trajcevski, Roberto Tamassia, Peter Scheuermann, Fan Zhou
Computer Communications, 2017
- IJCAI
Identifying Human Mobility via Trajectory Embeddings
Qiang Gao, Fan Zhou, Kunpeng Zhang, Goce Trajcevski, Xucheng Luo, Fengli Zhang
International Joint Conference on Artificial Intelligence, 2017
- J. Softw.Chinese
Trajectory Big Data: A Survey of Key Technologies for Data Processing轨迹大数据:数据处理关键技术研究综述
Qiang Gao, Fengli Zhang, Ruijin Wang, Fan Zhou
Journal of Software (软件学报), 2017
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