Teng Xiao

According to our database, Teng Xiao authored at least 37 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.

Qingsong Yan, Junhua Kang, Teng Xiao, Haibing Liu, Fei Deng

Remote. Sens., March, 2024

Discovering Invariant Neighborhood Patterns for Heterophilic Graphs.

Ruihao Zhang, Zhengyu Chen, Teng Xiao, Yueyang Wang, Kun Kuang

CoRR, 2024

MolBind: Multimodal Alignment of Language, Molecules, and Proteins.

Teng Xiao, Chao Cui, Huaisheng Zhu, Vasant G. Honavar

CoRR, 2024

3M-Diffusion: Latent Multi-Modal Diffusion for Text-Guided Generation of Molecular Graphs.

Huaisheng Zhu, Teng Xiao, Vasant G. Honavar

CoRR, 2024

In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation.

Shiqi Chen, Miao Xiong, Junteng Liu, Zhengxuan Wu, Teng Xiao, Siyang Gao, Junxian He

CoRR, 2024

Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedback.

Teng Xiao, Suhang Wang

CoRR, 2024

Learning to Reweight for Generalizable Graph Neural Network.

Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Improving knowledge tracing via a heterogeneous information network enhanced by student interactions.

Jia Xu, Xinyue Huang, Teng Xiao, Pin Lv

Expert Syst. Appl., December, 2023

Learning to Reweight for Graph Neural Network.

Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu

CoRR, 2023

Improving Fairness of Graph Neural Networks: A Graph Counterfactual Perspective.

Zhimeng Guo, Jialiang Li, Teng Xiao, Yao Ma, Suhang Wang

CoRR, 2023

Fairness-aware Message Passing for Graph Neural Networks.

Huaisheng Zhu, Guoji Fu, Zhimeng Guo, Zhiwei Zhang, Teng Xiao, Suhang Wang

CoRR, 2023

Counterfactual Learning on Graphs: A Survey.

Zhimeng Guo, Teng Xiao, Charu Aggarwal, Hui Liu, Suhang Wang

CoRR, 2023

Simple and Asymmetric Graph Contrastive Learning without Augmentations.

Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Certifiably Robust Graph Contrastive Learning.

Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reconsidering Learning Objectives in Unbiased Recommendation: A Distribution Shift Perspective.

Teng Xiao, Zhengyu Chen, Suhang Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Towards Fair Graph Neural Networks via Graph Counterfactual.

Zhimeng Guo, Jialiang Li, Teng Xiao, Yao Ma, Suhang Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Towards Bridging Algorithm and Theory for Unbiased Recommendation.

Teng Xiao, Zhengyu Chen, Suhang Wang

CoRR, 2022

Decoupled Self-supervised Learning for Non-Homophilous Graphs.

Teng Xiao, Zhengyu Chen, Zhimeng Guo, Zeyang Zhuang, Suhang Wang

CoRR, 2022

Towards Unbiased and Robust Causal Ranking for Recommender Systems.

Teng Xiao, Suhang Wang

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Decoupled Self-supervised Learning for Graphs.

Teng Xiao, Zhengyu Chen, Zhimeng Guo, Zeyang Zhuang, Suhang Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

BA-GNN: On Learning Bias-Aware Graph Neural Network.

Zhengyu Chen, Teng Xiao, Kun Kuang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Representation Matters When Learning From Biased Feedback in Recommendation.

Teng Xiao, Zhengyu Chen, Suhang Wang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Towards Off-Policy Learning for Ranking Policies with Logged Feedback.

Teng Xiao, Suhang Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Progressive Structure from Motion by Iteratively Prioritizing and Refining Match Pairs.

Teng Xiao, Qingsong Yan, Weile Ma, Fei Deng

Remote. Sens., 2021

Learning How to Propagate Messages in Graph Neural Networks.

Teng Xiao, Zhengyu Chen, Donglin Wang, Suhang Wang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

A General Offline Reinforcement Learning Framework for Interactive Recommendation.

Teng Xiao, Donglin Wang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Neural variational matrix factorization for collaborative filtering in recommendation systems.

Teng Xiao, Hong Shen

Appl. Intell., 2019

Hierarchical Neural Variational Model for Personalized Sequential Recommendation.

Teng Xiao, Shangsong Liang, Zaiqiao Meng

Proceedings of the World Wide Web Conference, 2019

Variational Deep Collaborative Matrix Factorization for Social Recommendation.

Teng Xiao, Hui Tian, Hong Shen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Neural Variational Matrix Factorization with Side Information for Collaborative Filtering.

Teng Xiao, Hong Shen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Semi-supervisedly Co-embedding Attributed Networks.

Zaiqiao Meng, Shangsong Liang, Jinyuan Fang, Teng Xiao

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

ISLF: Interest Shift and Latent Factors Combination Model for Session-based Recommendation.

Jing Song, Hong Shen, Zijing Ou, Junyi Zhang, Teng Xiao, Shangsong Liang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Robustifying Relative Orientations With Respect to Repetitive Structures and Very Short Baselines for Global SfM.

Xin Wang, Teng Xiao, Michael Gruber, Christian Heipke

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Dynamic Bayesian Metric Learning for Personalized Product Search.

Teng Xiao, Jiaxin Ren, Zaiqiao Meng, Huan Sun, Shangsong Liang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Dynamic Collaborative Recurrent Learning.

Teng Xiao, Shangsong Liang, Zaiqiao Meng

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Bayesian Deep Collaborative Matrix Factorization.

Teng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Neural Variational Hybrid Collaborative Filtering.

Teng Xiao, Shangsong Liang, Hong Shen, Zaiqiao Meng

CoRR, 2018