Teng Xiao

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 43

Top Topics

Matrix Factorization

Tree Reweighted

Recommender Systems

Top Venues

Publications

Zhengyu Chen, Teng Xiao, Donglin Wang, Min Zhang
Pareto Graph Self-Supervised Learning. ICASSP (2024)
Teng Xiao, Chao Cui, Huaisheng Zhu, Vasant G. Honavar
MolBind: Multimodal Alignment of Language, Molecules, and Proteins. CoRR (2024)
Teng Xiao, Suhang Wang
Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedback. CoRR (2024)
Huaisheng Zhu, Teng Xiao, Vasant G. Honavar
3M-Diffusion: Latent Multi-Modal Diffusion for Text-Guided Generation of Molecular Graphs. CoRR (2024)
Ruihao Zhang, Zhengyu Chen, Teng Xiao, Yueyang Wang, Kun Kuang
Discovering Invariant Neighborhood Patterns for Heterophilic Graphs. CoRR (2024)
Shiqi Chen, Miao Xiong, Junteng Liu, Zhengxuan Wu, Teng Xiao, Siyang Gao, Junxian He
In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation. CoRR (2024)
Qingsong Yan, Junhua Kang, Teng Xiao, Haibing Liu, Fei Deng
MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. Remote. Sens. 16 (6) (2024)
Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu
Learning to Reweight for Generalizable Graph Neural Network. AAAI (2024)
Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu
Learning to Reweight for Graph Neural Network. CoRR (2023)
Teng Xiao, Donglin Wang
A General Offline Reinforcement Learning Framework for Interactive Recommendation. CoRR (2023)
Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang
Simple and Asymmetric Graph Contrastive Learning without Augmentations. CoRR (2023)
Huaisheng Zhu, Guoji Fu, Zhimeng Guo, Zhiwei Zhang, Teng Xiao, Suhang Wang
Fairness-aware Message Passing for Graph Neural Networks. CoRR (2023)
Teng Xiao, Zhengyu Chen, Donglin Wang, Suhang Wang
Learning How to Propagate Messages in Graph Neural Networks. CoRR (2023)
Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang
Certifiably Robust Graph Contrastive Learning. CoRR (2023)
Jia Xu, Xinyue Huang, Teng Xiao, Pin Lv
Improving knowledge tracing via a heterogeneous information network enhanced by student interactions. Expert Syst. Appl. 232 (2023)
Teng Xiao, Zhengyu Chen, Suhang Wang
Reconsidering Learning Objectives in Unbiased Recommendation: A Distribution Shift Perspective. KDD (2023)
Zhimeng Guo, Teng Xiao, Charu Aggarwal, Hui Liu, Suhang Wang
Counterfactual Learning on Graphs: A Survey. CoRR (2023)
Zhimeng Guo, Jialiang Li, Teng Xiao, Yao Ma, Suhang Wang
Improving Fairness of Graph Neural Networks: A Graph Counterfactual Perspective. CoRR (2023)
Zhimeng Guo, Jialiang Li, Teng Xiao, Yao Ma, Suhang Wang
Towards Fair Graph Neural Networks via Graph Counterfactual. CIKM (2023)
Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang
Simple and Asymmetric Graph Contrastive Learning without Augmentations. NeurIPS (2023)
Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang
Certifiably Robust Graph Contrastive Learning. NeurIPS (2023)
Teng Xiao, Suhang Wang
Towards Unbiased and Robust Causal Ranking for Recommender Systems. WSDM (2022)
Teng Xiao, Zhengyu Chen, Zhimeng Guo, Zeyang Zhuang, Suhang Wang
Decoupled Self-supervised Learning for Non-Homophilous Graphs. CoRR (2022)
Teng Xiao, Zhengyu Chen, Suhang Wang
Towards Bridging Algorithm and Theory for Unbiased Recommendation. CoRR (2022)
Zhengyu Chen, Teng Xiao, Kun Kuang
BA-GNN: On Learning Bias-Aware Graph Neural Network. ICDE (2022)
Teng Xiao, Zhengyu Chen, Suhang Wang
Representation Matters When Learning From Biased Feedback in Recommendation. CIKM (2022)
Teng Xiao, Suhang Wang
Towards Off-Policy Learning for Ranking Policies with Logged Feedback. AAAI (2022)
Teng Xiao, Zhengyu Chen, Zhimeng Guo, Zeyang Zhuang, Suhang Wang
Decoupled Self-supervised Learning for Graphs. NeurIPS (2022)
Teng Xiao, Donglin Wang
A General Offline Reinforcement Learning Framework for Interactive Recommendation. AAAI (2021)
Teng Xiao, Qingsong Yan, Weile Ma, Fei Deng
Progressive Structure from Motion by Iteratively Prioritizing and Refining Match Pairs. Remote. Sens. 13 (12) (2021)
Teng Xiao, Zhengyu Chen, Donglin Wang, Suhang Wang
Learning How to Propagate Messages in Graph Neural Networks. KDD (2021)
Zaiqiao Meng, Shangsong Liang, Jinyuan Fang, Teng Xiao
Semi-supervisedly Co-embedding Attributed Networks. CoRR (2019)
Teng Xiao, Hong Shen
Neural variational matrix factorization for collaborative filtering in recommendation systems. Appl. Intell. 49 (10) (2019)
Teng Xiao, Hong Shen
Neural Variational Matrix Factorization with Side Information for Collaborative Filtering. PAKDD (1) (2019)
Teng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng
Bayesian Deep Collaborative Matrix Factorization. AAAI (2019)
Teng Xiao, Jiaxin Ren, Zaiqiao Meng, Huan Sun, Shangsong Liang
Dynamic Bayesian Metric Learning for Personalized Product Search. CIKM (2019)
Zaiqiao Meng, Shangsong Liang, Jinyuan Fang, Teng Xiao
Semi-supervisedly Co-embedding Attributed Networks. NeurIPS (2019)
Teng Xiao, Hui Tian, Hong Shen
Variational Deep Collaborative Matrix Factorization for Social Recommendation. PAKDD (1) (2019)
Teng Xiao, Shangsong Liang, Zaiqiao Meng
Dynamic Collaborative Recurrent Learning. CIKM (2019)
Jing Song, Hong Shen, Zijing Ou, Junyi Zhang, Teng Xiao, Shangsong Liang
ISLF: Interest Shift and Latent Factors Combination Model for Session-based Recommendation. IJCAI (2019)
Teng Xiao, Shangsong Liang, Zaiqiao Meng
Hierarchical Neural Variational Model for Personalized Sequential Recommendation. WWW (2019)
Xin Wang, Teng Xiao, Michael Gruber, Christian Heipke
Robustifying Relative Orientations With Respect to Repetitive Structures and Very Short Baselines for Global SfM. CVPR Workshops (2019)
Teng Xiao, Shangsong Liang, Hong Shen, Zaiqiao Meng
Neural Variational Hybrid Collaborative Filtering. CoRR (2018)