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Teng Xiao
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2020 – today
- 2024
- [j5]Jia Xu
, Teng Xiao
Tracing Human Stress From Physiological Signals Using UWB Radar. IEEE Internet Things J. 11(20): 32773-32790 (2024) - [j4]Qingsong Yan
MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. Remote. Sens. 16(6): 964 (2024) - [c25]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: 8320-8328 - [c24]Teng Xiao, Mingxiao Li, Yige Yuan, Huaisheng Zhu, Chao Cui, Vasant G. Honavar:
How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective. EMNLP 2024: 13413-13426 - [c23]Zhengyu Chen, Teng Xiao, Donglin Wang, Min Zhang:
Pareto Graph Self-Supervised Learning. ICASSP 2024: 6630-6634 - [c22]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. ICML 2024 - [c21]Teng Xiao, Huaisheng Zhu, Zhiwei Zhang, Zhimeng Guo, Charu C. Aggarwal, Suhang Wang, Vasant G. Honavar:
Efficient Contrastive Learning for Fast and Accurate Inference on Graphs. ICML 2024 - [i21]Teng Xiao, Suhang Wang
Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedback. CoRR abs/2401.08959 (2024) - [i20]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 abs/2403.01548 (2024) - [i19]Huaisheng Zhu, Teng Xiao, Vasant G. Honavar
3M-Diffusion: Latent Multi-Modal Diffusion for Text-Guided Generation of Molecular Graphs. CoRR abs/2403.07179 (2024) - [i18]Teng Xiao, Chao Cui, Huaisheng Zhu, Vasant G. Honavar
MolBind: Multimodal Alignment of Language, Molecules, and Proteins. CoRR abs/2403.08167 (2024) - [i17]Ruihao Zhang, Zhengyu Chen, Teng Xiao, Yueyang Wang, Kun Kuang:
Discovering Invariant Neighborhood Patterns for Heterophilic Graphs. CoRR abs/2403.10572 (2024) - [i16]Jinluan Yang, Zhengyu Chen, Teng Xiao, Wenqiao Zhang, Yong Lin, Kun Kuang:
Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts. CoRR abs/2408.09490 (2024) - [i15]Yige Yuan, Bingbing Xu, Teng Xiao, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
MITA: Bridging the Gap between Model and Data for Test-time Adaptation. CoRR abs/2410.09398 (2024) - [i14]Teng Xiao, Mingxiao Li, Yige Yuan, Huaisheng Zhu, Chao Cui, Vasant G. Honavar:
How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective. CoRR abs/2410.10093 (2024) - [i13]Jia Xu, Teng Xiao, Pin Lv, Zhe Chen, Chao Cai, Yang Zhang, Zehui Xiong:
Tracing Human Stress from Physiological Signals using UWB Radar. CoRR abs/2410.10155 (2024) - 2023
- [j3]Jia Xu
Improving knowledge tracing via a heterogeneous information network enhanced by student interactions. Expert Syst. Appl. 232: 120853 (2023) - [c20]Zhimeng Guo
Towards Fair Graph Neural Networks via Graph Counterfactual. CIKM 2023: 669-678 - [c19]Teng Xiao
Reconsidering Learning Objectives in Unbiased Recommendation: A Distribution Shift Perspective. KDD 2023: 2764-2775 - [c18]Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang:
Certifiably Robust Graph Contrastive Learning. NeurIPS 2023 - [c17]Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang:
Simple and Asymmetric Graph Contrastive Learning without Augmentations. NeurIPS 2023 - [i12]Zhimeng Guo, Teng Xiao, Charu Aggarwal, Hui Liu, Suhang Wang
Counterfactual Learning on Graphs: A Survey. CoRR abs/2304.01391 (2023) - [i11]Huaisheng Zhu, Guoji Fu, Zhimeng Guo, Zhiwei Zhang, Teng Xiao, Suhang Wang
Fairness-aware Message Passing for Graph Neural Networks. CoRR abs/2306.11132 (2023) - [i10]Zhimeng Guo, Jialiang Li, Teng Xiao, Yao Ma, Suhang Wang
Improving Fairness of Graph Neural Networks: A Graph Counterfactual Perspective. CoRR abs/2307.04937 (2023) - [i9]Teng Xiao, Donglin Wang:
A General Offline Reinforcement Learning Framework for Interactive Recommendation. CoRR abs/2310.00678 (2023) - [i8]Teng Xiao, Zhengyu Chen, Donglin Wang, Suhang Wang
Learning How to Propagate Messages in Graph Neural Networks. CoRR abs/2310.00697 (2023) - [i7]Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang
Certifiably Robust Graph Contrastive Learning. CoRR abs/2310.03312 (2023) - [i6]Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang
Simple and Asymmetric Graph Contrastive Learning without Augmentations. CoRR abs/2310.18884 (2023) - [i5]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 abs/2312.12475 (2023) - 2022
- [c16]Teng Xiao, Suhang Wang
Towards Off-Policy Learning for Ranking Policies with Logged Feedback. AAAI 2022: 8700-8707 - [c15]Teng Xiao
Representation Matters When Learning From Biased Feedback in Recommendation. CIKM 2022: 2220-2229 - [c14]Zhengyu Chen
BA-GNN: On Learning Bias-Aware Graph Neural Network. ICDE 2022: 3012-3024 - [c13]Teng Xiao, Zhengyu Chen, Zhimeng Guo, Zeyang Zhuang, Suhang Wang:
Decoupled Self-supervised Learning for Graphs. NeurIPS 2022 - [c12]Teng Xiao
Towards Unbiased and Robust Causal Ranking for Recommender Systems. WSDM 2022: 1158-1167 - [i4]Teng Xiao, Zhengyu Chen, Zhimeng Guo, Zeyang Zhuang, Suhang Wang
Decoupled Self-supervised Learning for Non-Homophilous Graphs. CoRR abs/2206.03601 (2022) - [i3]Teng Xiao, Zhengyu Chen, Suhang Wang
Towards Bridging Algorithm and Theory for Unbiased Recommendation. CoRR abs/2206.03851 (2022) - 2021
- [j2]Teng Xiao
Progressive Structure from Motion by Iteratively Prioritizing and Refining Match Pairs. Remote. Sens. 13(12): 2340 (2021) - [c11]Teng Xiao, Donglin Wang:
A General Offline Reinforcement Learning Framework for Interactive Recommendation. AAAI 2021: 4512-4520 - [c10]Teng Xiao
Learning How to Propagate Messages in Graph Neural Networks. KDD 2021: 1894-1903
2010 – 2019
- 2019
- [j1]Teng Xiao, Hong Shen
Neural variational matrix factorization for collaborative filtering in recommendation systems. Appl. Intell. 49(10): 3558-3569 (2019) - [c9]Teng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng:
Bayesian Deep Collaborative Matrix Factorization. AAAI 2019: 5474-5481 - [c8]Teng Xiao, Shangsong Liang, Zaiqiao Meng:
Dynamic Collaborative Recurrent Learning. CIKM 2019: 1151-1160 - [c7]Teng Xiao, Jiaxin Ren
Dynamic Bayesian Metric Learning for Personalized Product Search. CIKM 2019: 1693-1702 - [c6]Xin Wang
Robustifying Relative Orientations With Respect to Repetitive Structures and Very Short Baselines for Global SfM. CVPR Workshops 2019: 2896-2904 - [c5]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: 5765-5771 - [c4]Zaiqiao Meng, Shangsong Liang, Jinyuan Fang, Teng Xiao:
Semi-supervisedly Co-embedding Attributed Networks. NeurIPS 2019: 6504-6513 - [c3]Teng Xiao, Hong Shen:
Neural Variational Matrix Factorization with Side Information for Collaborative Filtering. PAKDD (1) 2019: 414-425 - [c2]Teng Xiao, Hui Tian, Hong Shen:
Variational Deep Collaborative Matrix Factorization for Social Recommendation. PAKDD (1) 2019: 426-437 - [c1]Teng Xiao, Shangsong Liang, Zaiqiao Meng:
Hierarchical Neural Variational Model for Personalized Sequential Recommendation. WWW 2019: 3377-3383 - [i2]Zaiqiao Meng, Shangsong Liang, Jinyuan Fang, Teng Xiao:
Semi-supervisedly Co-embedding Attributed Networks. CoRR abs/1910.14491 (2019) - 2018
- [i1]Teng Xiao, Shangsong Liang, Hong Shen, Zaiqiao Meng:
Neural Variational Hybrid Collaborative Filtering. CoRR abs/1810.05376 (2018)
Coauthor Index
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