Xiao, Teng

20 publications

ICLR 2025 DSPO: Direct Score Preference Optimization for Diffusion Model Alignment Huaisheng Zhu, Teng Xiao, Vasant G Honavar

NeurIPS 2025 Inference-Time Alignment in Continuous Space Yige Yuan, Teng Xiao, Li Yunfan, Bingbing Xu, Shuchang Tao, Yunqi Qiu, Huawei Shen, Xueqi Cheng

ICLRW 2025 Inference-Time Alignment in Continuous Space Yige Yuan, Teng Xiao, Li Yunfan, Bingbing Xu, Shuchang Tao, Yunqi Qiu, Huawei Shen, Xueqi Cheng

ICLR 2025 On a Connection Between Imitation Learning and RLHF Teng Xiao, Yige Yuan, Mingxiao Li, Zhengyu Chen, Vasant G Honavar

ICLR 2025 SimPER: A Minimalist Approach to Preference Alignment Without Hyperparameters Teng Xiao, Yige Yuan, Zhengyu Chen, Mingxiao Li, Shangsong Liang, Zhaochun Ren, Vasant G Honavar

NeurIPS 2025 Simple Distillation for One-Step Diffusion Models Huaisheng Zhu, Teng Xiao, Shijie Zhou, Zhimeng Guo, Hangfan Zhang, Siyuan Xu, Vasant G Honavar

NeurIPS 2024 Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment Teng Xiao, Yige Yuan, Huaisheng Zhu, Mingxiao Li, Vasant G Honavar

ICML 2024 Efficient Contrastive Learning for Fast and Accurate Inference on Graphs Teng Xiao, Huaisheng Zhu, Zhiwei Zhang, Zhimeng Guo, Charu C. Aggarwal, Suhang Wang, Vasant G Honavar

ICML 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

ICLRW 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

AAAI 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

NeurIPS 2023 Certifiably Robust Graph Contrastive Learning Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang

NeurIPS 2023 Simple and Asymmetric Graph Contrastive Learning Without Augmentations Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang

NeurIPS 2022 Decoupled Self-Supervised Learning for Graphs Teng Xiao, Zhengyu Chen, Zhimeng Guo, Zeyang Zhuang, Suhang Wang

AAAI 2022 Towards Off-Policy Learning for Ranking Policies with Logged Feedback Teng Xiao, Suhang Wang

AAAI 2021 A General Offline Reinforcement Learning Framework for Interactive Recommendation Teng Xiao, Donglin Wang

AAAI 2019 Bayesian Deep Collaborative Matrix Factorization Teng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng

IJCAI 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

CVPRW 2019 Robustifying Relative Orientations with Respect to Repetitive Structures and Very Short Baselines for Global SfM Xin Wang, Teng Xiao, Michael Gruber, Christian Heipke

NeurIPS 2019 Semi-Supervisedly Co-Embedding Attributed Networks Zaiqiao Meng, Shangsong Liang, Jinyuan Fang, Teng Xiao