Wang, Senzhang

33 publications

AAAI 2025 Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph Transformers Hui Pang, Chaozhuo Li, Litian Zhang, Senzhang Wang, Xi Zhang

AAAI 2025 C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction Zichen Wang, Hao Miao, Senzhang Wang, Renzhi Wang, Jianxin Wang, Jian Zhang

AAAI 2025 FairTP: A Prolonged Fairness Framework for Traffic Prediction Jiangnan Xia, Yu Yang, Jiaxing Shen, Senzhang Wang, Jiannong Cao

AAAI 2025 Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training Wenting Zhu, Chaozhuo Li, Litian Zhang, Senzhang Wang, Xi Zhang

AAAI 2025 MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning Liwen Zheng, Chaozhuo Li, Litian Zhang, Haoran Jia, Senzhang Wang, Zheng Liu, Xi Zhang

NeurIPS 2025 Role-Aware Multi-Agent Reinforcement Learning for Coordinated Emergency Traffic Control Ming Cheng, Hao Chen, Zhiqing Li, Jia Wang, Senzhang Wang

IJCAI 2025 STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation Yiming Wang, Hao Peng, Senzhang Wang, Haohua Du, Chunyang Liu, Jia Wu, Guanlin Wu

NeurIPS 2024 Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination Ruochen Liu, Hao Chen, Yuanchen Bei, Qijie Shen, Fangwei Zhong, Senzhang Wang, Jianxin Wang

NeurIPS 2024 FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images Zheng Yu, Yaohua Wang, Siying Cui, Aixi Zhang, Wei-Long Zheng, Senzhang Wang

IJCAI 2024 SaSDim: Self-Adaptive Noise Scaling Diffusion Model for Spatial Time Series Imputation Shunyang Zhang, Senzhang Wang, Xianzhen Tan, Renzhi Wang, Ruochen Liu, Jian Zhang, Jianxin Wang

IJCAI 2024 Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation Shunyang Zhang, Senzhang Wang, Hao Miao, Hao Chen, Changjun Fan, Jian Zhang

NeurIPS 2023 A Comprehensive Study on Text-Attributed Graphs: Benchmarking and Rethinking Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun, Xing Xie, Senzhang Wang

ECML-PKDD 2023 Hierarchical Graph Contrastive Learning Hao Yan, Senzhang Wang, Jun Yin, Chaozhuo Li, Junxing Zhu, Jianxin Wang

NeurIPS 2023 Train Once and Explain Everywhere: Pre-Training Interpretable Graph Neural Networks Jun Yin, Chaozhuo Li, Hao Yan, Jianxun Lian, Senzhang Wang

NeurIPS 2023 V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs Senzhang Wang, Jun Yin, Chaozhuo Li, Xing Xie, Jianxin Wang

AAAI 2023 WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction Renzhi Wang, Senzhang Wang, Hao Yan, Xiang Wang

ICLR 2022 Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space Yaohua Wang, Yaobin Zhang, Fangyi Zhang, Senzhang Wang, Ming Lin, YuQi Zhang, Xiuyu Sun

ICML 2022 HousE: Knowledge Graph Embedding with Householder Parameterization Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang

ECML-PKDD 2022 Multi-Task Adversarial Learning for Semi-Supervised Trajectory-User Linking Sen Zhang, Senzhang Wang, Xiang Wang, Shigeng Zhang, Hao Miao, Junxing Zhu

IJCAI 2022 Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks Jiaqiang Zhang, Senzhang Wang, Songcan Chen

NeurIPS 2022 Robust Graph Structure Learning via Multiple Statistical Tests Yaohua Wang, Fangyi Zhang, Ming Lin, Senzhang Wang, Xiuyu Sun, Rong Jin

AAAI 2021 Adversarial Directed Graph Embedding Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Lifang He

IJCAI 2021 Multi-Channel Pooling Graph Neural Networks Jinlong Du, Senzhang Wang, Hao Miao, Jiaqiang Zhang

AAAI 2020 Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification Hao Peng, Jianxin Li, Qiran Gong, Yuanxing Ning, Senzhang Wang, Lifang He

AAAI 2019 Adversarial Learning for Weakly-Supervised Social Network Alignment Chaozhuo Li, Senzhang Wang, Yukun Wang, Philip S. Yu, Yanbo Liang, Yun Liu, Zhoujun Li

IJCAI 2019 Aspect-Based Sentiment Classification with Attentive Neural Turing Machines Qianren Mao, Jianxin Li, Senzhang Wang, Yuanning Zhang, Hao Peng, Min He, Lihong Wang

AAAI 2019 Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems Wenjing Fu, Zhaohui Peng, Senzhang Wang, Yang Xu, Jin Li

IJCAI 2018 Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks Xiaotian Han, Chuan Shi, Senzhang Wang, Philip S. Yu, Li Song

IJCAI 2018 Ensemble Neural Relation Extraction with Adaptive Boosting Dongdong Yang, Senzhang Wang, Zhoujun Li

IJCAI 2018 Text Emotion Distribution Learning via Multi-Task Convolutional Neural Network Yuxiang Zhang, Jiamei Fu, Dongyu She, Ying Zhang, Senzhang Wang, Jufeng Yang

AAAI 2016 Aggregating Inter-Sentence Information to Enhance Relation Extraction Hao Zheng, Zhoujun Li, Senzhang Wang, Zhao Yan, Jianshe Zhou

ECML-PKDD 2016 Enhancing Traffic Congestion Estimation with Social Media by Coupled Hidden Markov Model Senzhang Wang, Fengxiang Li, Leon Stenneth, Philip S. Yu

AAAI 2015 Burst Time Prediction in Cascades Senzhang Wang, Zhao Yan, Xia Hu, Philip S. Yu, Zhoujun Li