Zhong, Ting

32 publications

ICLR 2026 Self-Consistency Improves the Trustworthiness of Self-Interpretable GNNs Wenxin Tai, Ting Zhong, Goce Trajcevski, Fan Zhou

ICCV 2025 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

AAAI 2025 In-Context Prompt-Augmented Micro-Video Popularity Prediction Zhangtao Cheng, Jiao Li, Jian Lang, Ting Zhong, Fan Zhou

ICML 2025 Redundancy Undermines the Trustworthiness of Self-Interpretable GNNs Wenxin Tai, Ting Zhong, Goce Trajcevski, Fan Zhou

AAAI 2025 Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning Jian Lang, Zhangtao Cheng, Ting Zhong, Fan Zhou

AAAI 2024 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

AAAI 2024 Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract) Wenxue Ye, Shichong Li, Zhangtao Cheng, Xovee Xu, Ting Zhong, Bei Hui, Fan Zhou

AAAI 2024 Explainable Earnings Call Representation Learning (Student Abstract) Yanlong Huang, Yue Lei, Wenxin Tai, Zhangtao Cheng, Ting Zhong, Kunpeng Zhang

AAAI 2024 Improving IP Geolocation with Target-Centric IP Graph (Student Abstract) Kai Yang, Jiayang Li, Wenxin Tai, Zhenhui Li, Ting Zhong, Guangqiang Yin, Yong Wang

AAAI 2024 Interpreting Temporal Knowledge Graph Reasoning (Student Abstract) Bin Chen, Kai Yang, Wenxin Tai, Zhangtao Cheng, Leyuan Liu, Ting Zhong, Fan Zhou

AAAI 2024 Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection (Student Abstract) Yixuan Jin, Yutao Wei, Zhangtao Cheng, Wenxin Tai, Chunjing Xiao, Ting Zhong

AAAI 2024 Shallow Diffusion for Fast Speech Enhancement (Student Abstract) Yue Lei, Bin Chen, Wenxin Tai, Ting Zhong, Fan Zhou

AAAI 2024 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

AAAI 2023 A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract) Tangjiang Qian, Xovee Xu, Zhe Xiao, Ting Zhong, Fan Zhou

AAAI 2023 CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract) Zhangtao Cheng, Xovee Xu, Ting Zhong, Fan Zhou, Goce Trajcevski

NeurIPS 2023 DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement Wenxin Tai, Yue Lei, Fan Zhou, Goce Trajcevski, Ting Zhong

AAAI 2023 Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract) Yuzhou Mao, Liu Yu, Yi Yang, Fan Zhou, Ting Zhong

AAAI 2023 DyCVAE: Learning Dynamic Causal Factors for Non-Stationary Series Domain Generalization (Student Abstract) Weifeng Zhang, Zhiyuan Wang, Kunpeng Zhang, Ting Zhong, Fan Zhou

AAAI 2023 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 2023 Less Is More: Volatility Forecasting with Contrastive Representation Learning (Student Abstract) Yanlong Huang, Wenxin Tai, Ting Zhong, Kunpeng Zhang

AAAI 2023 Overcoming Forgetting in Fine-Grained Urban Flow Inference via Adaptive Knowledge Replay Haoyang Yu, Xovee Xu, Ting Zhong, Fan Zhou

AAAI 2023 Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement Wenxin Tai, Fan Zhou, Goce Trajcevski, Ting Zhong

AAAI 2022 A Probabilistic Framework for Land Deformation Prediction (Student Abstract) Rongfan Li, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong

AAAI 2022 Conditional Collaborative Filtering Process for Top-K Recommender System (Student Abstract) Guanyu Wang, Xovee Xu, Ting Zhong, Fan Zhou

AAAI 2022 Dynamic Manifold Learning for Land Deformation Forecasting Fan Zhou, Rongfan Li, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong

AAAI 2022 Fine-Grained Urban Flow Inference via Normalizing Flow (Student Abstract) Haoyang Yu, Xovee Xu, Ting Zhong, Fan Zhou

AAAI 2022 Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract) Zhangtao Cheng, Ting Zhong, Kunpeng Zhang, Joojo Walker, Fan Zhou

NeurIPS 2022 Learning Latent Seasonal-Trend Representations for Time Series Forecasting Zhiyuan Wang, Xovee Xu, Weifeng Zhang, Goce Trajcevski, Ting Zhong, Fan Zhou

AAAI 2022 Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract) Liu Yu, Xovee Xu, Ting Zhong, Goce Trajcevski, Fan Zhou

AAAI 2022 PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model Zhiyuan Wang, Xovee Xu, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fan Zhou

IJCAI 2020 Enhancing Urban Flow Maps via Neural ODEs Fan Zhou, Liang Li, Ting Zhong, Goce Trajcevski, Kunpeng Zhang, Jiahao Wang

IJCAI 2018 Trajectory-User Linking via Variational AutoEncoder Fan Zhou, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fengli Zhang