| 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 |
| 2026 | AAAI | Modality-Balanced Collaborative Distillation for Multi-Modal Domain Generalization. | Xiaohan Wang, Zhangtao Cheng, Ting Zhong, Leiting Chen, Fan Zhou |
| 2026 | ACL | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 2026 | WWW | Evidential Matching, Uncertainty Calibration: Towards Robust Composed Video Retrieval with Noisy Triplets. | Zhangtao Cheng, Bozhu Zheng, Ting Zhong, Fan Zhou |
| 2025 | AAAI | In-context Prompt-augmented Micro-video Popularity Prediction. | Zhangtao Cheng, Jiao Li, Jian Lang, Ting Zhong, Fan Zhou |
| 2025 | AAAI | Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning. | Jian Lang, Zhangtao Cheng, Ting Zhong, Fan Zhou |
| 2025 | GLOBECOM | Distilled Multimodal Retrieval Augmentation for User Engagement Prediction. | Hongzhu Fu, Yutao Wei, Zhangtao Cheng, Yang Liu, Xing He, Ting Zhong, Fan Zhou |
| 2025 | GLOBECOM | Enhancing Graph Unlearning with Semantic and Structural Counterfactual Distillation. | Jinyu Hong, Bin Chen, Xing He, Meihui Zhong, Ting Zhong, Fan Zhou |
| 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 |
| 2025 | ICASSP | CPSNet: Comprehensive Enhancement Representation for Polyp Segmentation Task. | Jiati Cai, Xiaogang Liu, Hongjie Yang, Yi Ding, Ting Zhong, Zhen Qin |
| 2025 | ICASSP | Commonality Augmented Disentanglement for Multimodal Crowdfunding Success Prediction. | Jiayang Li, Xovee Xu, Yili Li, Ting Zhong, Kunpeng Zhang, Fan Zhou |
| 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 |
| 2025 | ICML | Redundancy Undermines the Trustworthiness of Self-Interpretable GNNs. | Wenxin Tai, Ting Zhong, Goce Trajcevski, Fan Zhou |
| 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 |
| 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 |
| 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 |
| 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 |
| 2024 | AAAI | Interpreting Temporal Knowledge Graph Reasoning (Student Abstract). | Bin Chen, Kai Yang, Wenxin Tai, Zhangtao Cheng, Leyuan Liu, Ting Zhong, Fan Zhou |
| 2024 | AAAI | Explainable Earnings Call Representation Learning (Student Abstract). | Yanlong Huang, Yue Lei, Wenxin Tai, Zhangtao Cheng, Ting Zhong, Kunpeng Zhang |
| 2024 | AAAI | Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection (Student Abstract). | Yixuan Jin, Yutao Wei, Zhangtao Cheng, Wenxin Tai, Chunjing Xiao, Ting Zhong |
| 2024 | AAAI | Shallow Diffusion for Fast Speech Enhancement (Student Abstract). | Yue Lei, Bin Chen, Wenxin Tai, Ting Zhong, Fan Zhou |
| 2024 | AAAI | Counterfactual Graph Learning for Anomaly Detection with Feature Disentanglement and Generation (Student Abstract). | Yutao Wei, Wenzheng Shu, Zhangtao Cheng, Wenxin Tai, Chunjing Xiao, Ting Zhong |
| 2024 | AAAI | Improving IP Geolocation With Target-Centric IP Graph (Student Abstract). | Kai Yang, Jiayang Li, Wenxin Tai, Zhenhui Li, Ting Zhong, Guangqiang Yin, Yong Wang |
| 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 |
| 2024 | AAAI | THGFormer: Time-Aware Hypergraph Learning for Multimodal Social Media Popularity Prediction (Student Abstract). | Jienan Zhang, Jie Liu, Zhangtao Cheng, Xovee Xu, Fang Liu, Ting Zhong, Kunpeng Zhang |
| 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 |
| 2024 | KDD | Retrieval-Augmented Hypergraph for Multimodal Social Media Popularity Prediction. | Zhangtao Cheng, Jienan Zhang, Xovee Xu, Goce Trajcevski, Ting Zhong, Fan Zhou |
| 2024 | SIGIR | Analyzing and Mitigating Repetitions in Trip Recommendation. | Wenzheng Shu, Kangqi Xu, Wenxin Tai, Ting Zhong, Yong Wang, Fan Zhou |
| 2024 | SIGIR | Self-Explainable Next POI Recommendation. | Kai Yang, Yi Yang, Qiang Gao, Ting Zhong, Yong Wang, Fan Zhou |
| 2024 | SIGIR | Predicting Micro-video Popularity via Multi-modal Retrieval Augmentation. | Ting Zhong, Jian Lang, Yifan Zhang, Zhangtao Cheng, Kunpeng Zhang, Fan Zhou |
| 2024 | SIGIR | Information Diffusion Prediction via Cascade-Retrieved In-context Learning. | Ting Zhong, Jienan Zhang, Zhangtao Cheng, Fan Zhou, Xueqin Chen |
| 2023 | AAAI | Overcoming Forgetting in Fine-Grained Urban Flow Inference via Adaptive Knowledge Replay. | Haoyang Yu, Xovee Xu, Ting Zhong, Fan Zhou |
| 2023 | AAAI | CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract). | Zhangtao Cheng, Xovee Xu, Ting Zhong, Fan Zhou, Goce Trajcevski |
| 2023 | AAAI | Less Is More: Volatility Forecasting with Contrastive Representation Learning (Student Abstract). | Yanlong Huang, Wenxin Tai, Ting Zhong, Kunpeng Zhang |
| 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 |
| 2023 | AAAI | A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract). | Tangjiang Qian, Xovee Xu, Zhe Xiao, Ting Zhong, Fan Zhou |
| 2023 | AAAI | Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement. | Wenxin Tai, Fan Zhou, Goce Trajcevski, Ting Zhong |
| 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 |
| 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 |
| 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 |
| 2023 | EMNLP | Somali Information Retrieval Corpus: Bridging the Gap between Query Translation and Dedicated Language Resources. | Abdisalam Badel, Ting Zhong, Wenxin Tai, Fan Zhou |
| 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 |
| 2023 | MDM | RIPGeo: Robust Street-Level IP Geolocation. | Wenxin Tai, Bin Chen, Ting Zhong, Yong Wang, Kai Chen, Fan Zhou |
| 2022 | AAAI | Dynamic Manifold Learning for Land Deformation Forecasting. | Fan Zhou, Rongfan Li, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong |
| 2022 | AAAI | Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract). | Zhangtao Cheng, Ting Zhong, Kunpeng Zhang, Joojo Walker, Fan Zhou |
| 2022 | AAAI | A Probabilistic Framework for Land Deformation Prediction (Student Abstract). | Rongfan Li, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong |
| 2022 | AAAI | PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model. | Zhiyuan Wang, Xovee Xu, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fan Zhou |
| 2022 | AAAI | Conditional Collaborative Filtering Process for Top-K Recommender System (Student Abstract). | Guanyu Wang, Xovee Xu, Ting Zhong, Fan Zhou |
| 2022 | AAAI | Fine-Grained Urban Flow Inference via Normalizing Flow (Student Abstract). | Haoyang Yu, Xovee Xu, Ting Zhong, Fan Zhou |
| 2022 | AAAI | Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract). | Liu Yu, Xovee Xu, Ting Zhong, Goce Trajcevski, Fan Zhou |
| 2022 | ICASSP | Probabilistic Fine-Grained Urban Flow Inference with Normalizing Flows. | Ting Zhong, Haoyang Yu, Rongfan Li, Xovee Xu, Xucheng Luo, Fan Zhou |
| 2022 | IJCNN | Modeling Multi-View Interactions with Contrastive Graph Learning for Collaborative Filtering. | Zhangtao Cheng, Joojo Walker, Ting Zhong, Fan Zhou |
| 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 |
| 2022 | KDD | Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning. | Rongfan Li, Ting Zhong, Xinke Jiang, Goce Trajcevski, Jin Wu, Fan Zhou |
| 2022 | KSEM | Recommendation via Collaborative Diffusion Generative Model. | Joojo Walker, Ting Zhong, Fengli Zhang, Qiang Gao, Fan Zhou |
| 2021 | CIKM | Vector-Quantized Autoencoder With Copula for Collaborative Filtering. | Guanyu Wang, Ting Zhong, Xovee Xu, Kunpeng Zhang, Fan Zhou, Yong Wang |
| 2021 | ICASSP | Inferring High-Resolutional Urban Flow With Internet Of Mobile Things. | Fan Zhou, Xin Jing, Liang Li, Ting Zhong |
| 2021 | ICASSP | Traffic Speed Forecasting Via Spatio-Temporal Attentive Graph Isomorphism Network. | Qing Yang, Ting Zhong, Fan Zhou |
| 2021 | ICASSP | Probabilistic Graph Neural Networks for Traffic Signal Control. | Ting Zhong, Zheyang Xu, Fan Zhou |
| 2020 | ACL | Interpreting Twitter User Geolocation. | Ting Zhong, Tianliang Wang, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Yi Yang |
| 2020 | GLOBECOM | Continual Information Cascade Learning. | Fan Zhou, Xin Jing, Xovee Xu, Ting Zhong, Goce Trajcevski, Jin Wu |
| 2020 | GLOBECOM | Meta-Learned User Preference for Topic Participation Prediction. | Fan Zhou, Xiuxiu Qi, Xovee Xu, Jiahao Wang, Ting Zhong, Goce Trajcevski |
| 2020 | GLOBECOM | Unsupervised User Identity Linkage via Graph Neural Networks. | Fan Zhou, Zijing Wen, Ting Zhong, Goce Trajcevski, Xovee Xu, Leyuan Liu |
| 2020 | IJCAI | Enhancing Urban Flow Maps via Neural ODEs. | Fan Zhou, Liang Li, Ting Zhong, Goce Trajcevski, Kunpeng Zhang, Jiahao Wang |
| 2020 | INFOCOM | Fast Network Alignment via Graph Meta-Learning. | Fan Zhou, Chengtai Cao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Ji Geng |
| 2020 | INFOCOM | Variational Information Diffusion for Probabilistic Cascades Prediction. | Fan Zhou, Xovee Xu, Kunpeng Zhang, Goce Trajcevski, Ting Zhong |
| 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 |
| 2019 | CIKM | Meta-GNN: On Few-shot Node Classification in Graph Meta-learning. | Fan Zhou, Chengtai Cao, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Ji Geng |
| 2019 | ICDE | Information Diffusion Prediction via Recurrent Cascades Convolution. | Xueqin Chen, Fan Zhou, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Fengli Zhang |
| 2019 | INFOCOM | Disentangled Network Alignment with Matching Explainability. | Fan Zhou, Zijing Wen, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fang Liu |
| 2019 | WWW | Variational Session-based Recommendation Using Normalizing Flows. | Fan Zhou, Zijing Wen, Kunpeng Zhang, Goce Trajcevski, Ting Zhong |
| 2019 | WWW | Context-aware Variational Trajectory Encoding and Human Mobility Inference. | Fan Zhou, Xiaoli Yue, Goce Trajcevski, Ting Zhong, Kunpeng Zhang |
| 2019 | WWW | Adversarial Point-of-Interest Recommendation. | Fan Zhou, Ruiyang Yin, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Jin Wu |
| 2019 | WWW | Predicting Human Mobility via Variational Attention. | Qiang Gao, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fengli Zhang |
| 2019 | SIGIR | Information Cascades Modeling via Deep Multi-Task Learning. | Xueqin Chen, Kunpeng Zhang, Fan Zhou, Goce Trajcevski, Ting Zhong, Fengli Zhang |
| 2018 | CIKM | vec2Link: Unifying Heterogeneous Data for Social Link Prediction. | Fan Zhou, Bangying Wu, Yi Yang, Goce Trajcevski, Kunpeng Zhang, Ting Zhong |
| 2018 | IJCAI | Trajectory-User Linking via Variational AutoEncoder. | Fan Zhou, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fengli Zhang |
| 2018 | INFOCOM | DeepLink: A Deep Learning Approach for User Identity Linkage. | Fan Zhou, Lei Liu, Kunpeng Zhang, Goce Trajcevski, Jin Wu, Ting Zhong |