Teng Xiao - RankMe

89 papers A* 25A 7Misc 1Journal 48Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EmoSense: A multimodal sentiment-aware framework for music short video AI-generated content detection. Inf. Process. Manag. Jiajia Li, Ziyi Pan, Teng Xiao, Ping Wang, Qibiao Hu, Jingrui Hou
2026	A*	`conf`	From Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time Scaling. AAAI Zhengyu Chen, Yudong Wang, Teng Xiao, Ruochen Zhou, Xuesheng Yang, Wei Wang, Zhifang Sui, Jingang Wang
2026	—	`conf`	Incentivizing Strong Reasoning from Weak Supervision. EACL (Volume 1: Long Papers) Yige Yuan, Teng Xiao, Shuchang Tao, Xue Wang, Jinyang Gao, Bolin Ding, Bingbing Xu
2026	J	`jnl`	Meta-Reinforcement Learning with Self-Reflection for Agentic Search. CoRR Teng Xiao, Yige Yuan, Hamish Ivison, Huaisheng Zhu, Faeze Brahman, Nathan Lambert, Pradeep Dasigi, Noah A. Smith, Hannaneh Hajishirzi
2026	A*	`conf`	Scaling and Transferability of Annealing Strategies in Large Language Model Training. AAAI Siqi Wang, Zhengyu Chen, Teng Xiao, Zheqi Lv, Jinluan Yang, Xunliang Cai, Jingang Wang, Xiaomeng Li
2026	J	`jnl`	Small Reward Models via Backward Inference. CoRR Yike Wang, Faeze Brahman, Shangbin Feng, Teng Xiao, Hannaneh Hajishirzi, Yulia Tsvetkov
2025	A	`conf`	A Deep Single Image Rectification Approach for Pan-Tilt-Zoom Cameras. ICME Teng Xiao, Qi Hu, Qingsong Yan, Wei Liu, Zhiwei Ye, Fei Deng
2025	J	`jnl`	A Deep Single Image Rectification Approach for Pan-Tilt-Zoom Cameras. CoRR Teng Xiao, Qi Hu, Qingsong Yan, Wei Liu, Zhiwei Ye, Fei Deng
2025	J	`jnl`	Can Tool-Integrated Reinforcement Learning Generalize Across Diverse Domains? CoRR Zhengyu Chen, Jinluan Yang, Teng Xiao, Ruochen Zhou, Luan Zhang, Xiangyu Xi, Xiaowei Shi, Wei Wang, Jinggang Wang
2025	J	`jnl`	Counterfactual Learning on Graphs: A Survey. Mach. Intell. Res. Zhimeng Guo, Zongyu Wu, Teng Xiao, Charu Aggarwal, Hui Liu, Suhang Wang
2025	A*	`conf`	DSPO: Direct Score Preference Optimization for Diffusion Model Alignment. ICLR Huaisheng Zhu, Teng Xiao, Vasant G. Honavar
2025	—	`conf`	Dialogue-RAG: Enhancing Retrieval for LLMs via Node-Linking Utterance Rewriting. ACL (1) Qiwei Li, Teng Xiao, Zuchao Li, Ping Wang, Mengjia Shen, Hai Zhao
2025	A*	`conf`	Fact-Level Calibration and Correction for Long-Form Generations. SIGIR Yige Yuan, Bingbing Xu, Hexiang Tan, Fei Sun, Teng Xiao, Wei Li, Huawei Shen, Xueqi Cheng
2025	J	`jnl`	From Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time Scaling. CoRR Zhengyu Chen, Yudong Wang, Teng Xiao, Ruochen Zhou, Xuesheng Yang, Wei Wang, Zhifang Sui, Jingang Wang
2025	J	`jnl`	Incentivizing Strong Reasoning from Weak Supervision. CoRR Yige Yuan, Teng Xiao, Shuchang Tao, Xue Wang, Jinyang Gao, Bolin Ding, Bingbing Xu
2025	J	`jnl`	Inference-time Alignment in Continuous Space. CoRR Yige Yuan, Teng Xiao, Li Yunfan, Bingbing Xu, Shuchang Tao, Yunqi Qiu, Huawei Shen, Xueqi Cheng
2025	—	`conf`	InfoPO: On Mutual Information Maximization for Large Language Model Alignment. NAACL (Long Papers) Teng Xiao, Zhen Ge, Sujay Sanghavi, Tian Wang, Julian Katz-Samuels, Marc Versage, Qingjun Cui, Trishul Chilimbi
2025	J	`jnl`	InfoPO: On Mutual Information Maximization for Large Language Model Alignment. CoRR Teng Xiao, Zhen Ge, Sujay Sanghavi, Tian Wang, Julian Katz-Samuels, Marc Versage, Qingjun Cui, Trishul Chilimbi
2025	J	`jnl`	Internalizing World Models via Self-Play Finetuning for Agentic RL. CoRR Shiqi Chen, Tongyao Zhu, Zian Wang, Jinghan Zhang, Kangrui Wang, Siyang Gao, Teng Xiao, Yee Whye Teh, Junxian He, Manling Li
2025	A*	`conf`	Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts. WWW Jinluan Yang, Zhengyu Chen, Teng Xiao, Yong Lin, Wenqiao Zhang, Kun Kuang
2025	J	`jnl`	Olmo 3. CoRR Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, David Graham, David Heineman, Dirk Groeneveld, Faeze Brahman, Finbarr Timbers, Hamish Ivison, Jacob Morrison, Jake Poznanski, Kyle Lo, Luca Soldaini, Matt Jordan, Mayee F. Chen, Michael Noukhovitch, Nathan Lambert, Pete Walsh, Pradeep Dasigi, Robert Berry, Saumya Malik, Saurabh Shah, Scott Geng, Shane Arora, Shashank Gupta, Taira Anderson, Teng Xiao, Tyler Murray, Tyler Romero, Victoria Graf, Akari Asai, Akshita Bhagia, Alexander Wettig, Alisa Liu, Aman Rangapur, Chloe Anastasiades, Costa Huang, Dustin Schwenk, Harsh Trivedi, Ian Magnusson, Jaron Lochner, Jiacheng Liu, Lester James V. Miranda, Maarten Sap, Malia Morgan, Michael Schmitz, Michal Guerquin, Michael Wilson, Regan Huff, Ronan Le Bras, Rui Xin, Rulin Shao, Sam Skjonsberg, Shannon Zejiang Shen, Shuyue Stella Li, Tucker Wilde, Valentina Pyatkin, William Merrill, Yapei Chang, Yuling Gu, Zhiyuan Zeng, Ashish Sabharwal, Luke Zettlemoyer, Pang Wei Koh, Ali Farhadi, Noah A. Smith, Hannaneh Hajishirzi
2025	J	`jnl`	OmniBridge: Unified Multimodal Understanding, Generation, and Retrieval via Latent Space Alignment. CoRR Teng Xiao, Zuchao Li, Lefei Zhang
2025	A*	`conf`	On a Connection Between Imitation Learning and RLHF. ICLR Teng Xiao, Yige Yuan, Mingxiao Li, Zhengyu Chen, Vasant G. Honavar
2025	J	`jnl`	On a Connection Between Imitation Learning and RLHF. CoRR Teng Xiao, Yige Yuan, Mingxiao Li, Zhengyu Chen, Vasant G. Honavar
2025	J	`jnl`	Optimizing Token Choice for Code Watermarking: A RL Approach. CoRR Zhimeng Guo, Huaisheng Zhu, Siyuan Xu, Hangfan Zhang, Teng Xiao, Minhao Cheng
2025	A*	`conf`	Reinforcement Learning for Large Language Models via Group Preference Reward Shaping. EMNLP Huaisheng Zhu, Siyuan Xu, Hangfan Zhang, Teng Xiao, Zhimeng Guo, Shijie Zhou, Shuyue Hu, Vasant G. Honavar
2025	—	`conf`	Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies. ACL (1) Zhengyu Chen, Siqi Wang, Teng Xiao, Yudong Wang, Shiqi Chen, Xunliang Cai, Junxian He, Jingang Wang
2025	J	`jnl`	Scaling and Transferability of Annealing Strategies in Large Language Model Training. CoRR Siqi Wang, Zhengyu Chen, Teng Xiao, Zheqi Lv, Jinluan Yang, Xunliang Cai, Jingang Wang, Xiaomeng Li
2025	A*	`conf`	SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters. ICLR Teng Xiao, Yige Yuan, Zhengyu Chen, Mingxiao Li, Shangsong Liang, Zhaochun Ren, Vasant G. Honavar
2025	J	`jnl`	SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters. CoRR Teng Xiao, Yige Yuan, Zhengyu Chen, Mingxiao Li, Shangsong Liang, Zhaochun Ren, Vasant G. Honavar
2025	J	`jnl`	Simple Denoising Diffusion Language Models. CoRR Huaisheng Zhu, Zhengyu Chen, Shijie Zhou, Zhihui Xie, Yige Yuan, Zhimeng Guo, Siyuan Xu, Hangfan Zhang, Vasant G. Honavar, Teng Xiao
2025	J	`jnl`	Sub-Scaling Laws: On the Role of Data Density and Training Strategies in LLMs. CoRR Zhengyu Chen, Siqi Wang, Teng Xiao, Yudong Wang, Shiqi Chen, Xunliang Cai, Junxian He, Jingang Wang
2025	A	`conf`	The 1st Workshop on LLM Agents for Social Simulation. CIKM Yige Yuan, Junkai Zhou, Bingbing Xu, Liang Pang, Du Su, An Zhang, Teng Xiao, Fengli Xu, Zhaochun Ren, Xu Chen
2024	J	`jnl`	3M-Diffusion: Latent Multi-Modal Diffusion for Text-Guided Generation of Molecular Graphs. CoRR Huaisheng Zhu, Teng Xiao, Vasant G. Honavar
2024	A*	`conf`	Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment. NeurIPS Teng Xiao, Yige Yuan, Huaisheng Zhu, Mingxiao Li, Vasant G. Honavar
2024	J	`jnl`	Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment. CoRR Teng Xiao, Yige Yuan, Huaisheng Zhu, Mingxiao Li, Vasant G. Honavar
2024	J	`jnl`	Discovering Invariant Neighborhood Patterns for Heterophilic Graphs. CoRR Ruihao Zhang, Zhengyu Chen, Teng Xiao, Yueyang Wang, Kun Kuang
2024	A*	`conf`	Efficient Contrastive Learning for Fast and Accurate Inference on Graphs. ICML Teng Xiao, Huaisheng Zhu, Zhiwei Zhang, Zhimeng Guo, Charu C. Aggarwal, Suhang Wang, Vasant G. Honavar
2024	J	`jnl`	Fact-Level Confidence Calibration and Self-Correction. CoRR Yige Yuan, Bingbing Xu, Hexiang Tan, Fei Sun, Teng Xiao, Wei Li, Huawei Shen, Xueqi Cheng
2024	—	`conf`	GeomCLIP: Contrastive Geometry-Text Pre-training for Molecules. BIBM Teng Xiao, Chao Cui, Huaisheng Zhu, Vasant G. Honavar
2024	J	`jnl`	GeomCLIP: Contrastive Geometry-Text Pre-training for Molecules. CoRR Teng Xiao, Chao Cui, Huaisheng Zhu, Vasant G. Honavar
2024	A*	`conf`	How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective. EMNLP Teng Xiao, Mingxiao Li, Yige Yuan, Huaisheng Zhu, Chao Cui, Vasant G. Honavar
2024	J	`jnl`	How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective. CoRR Teng Xiao, Mingxiao Li, Yige Yuan, Huaisheng Zhu, Chao Cui, Vasant G. Honavar
2024	A*	`conf`	In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation. ICML Shiqi Chen, Miao Xiong, Junteng Liu, Zhengxuan Wu, Teng Xiao, Siyang Gao, Junxian He
2024	J	`jnl`	In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation. CoRR Shiqi Chen, Miao Xiong, Junteng Liu, Zhengxuan Wu, Teng Xiao, Siyang Gao, Junxian He
2024	A*	`conf`	Learning to Reweight for Generalizable Graph Neural Network. AAAI Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu
2024	J	`jnl`	Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts. CoRR Jinluan Yang, Zhengyu Chen, Teng Xiao, Wenqiao Zhang, Yong Lin, Kun Kuang
2024	J	`jnl`	MITA: Bridging the Gap between Model and Data for Test-time Adaptation. CoRR Yige Yuan, Bingbing Xu, Teng Xiao, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng
2024	J	`jnl`	MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. Remote. Sens. Qingsong Yan, Junhua Kang, Teng Xiao, Haibing Liu, Fei Deng
2024	J	`jnl`	MolBind: Multimodal Alignment of Language, Molecules, and Proteins. CoRR Teng Xiao, Chao Cui, Huaisheng Zhu, Vasant G. Honavar
2024	Misc	`conf`	Pareto Graph Self-Supervised Learning. ICASSP Zhengyu Chen, Teng Xiao, Donglin Wang, Min Zhang
2024	J	`jnl`	Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedback. CoRR Teng Xiao, Suhang Wang
2024	J	`jnl`	Tracing Human Stress From Physiological Signals Using UWB Radar. IEEE Internet Things J. Jia Xu, Teng Xiao, Pin Lv, Zhe Chen, Chao Cai, Yang Zhang, Zehui Xiong
2024	J	`jnl`	Tracing Human Stress from Physiological Signals using UWB Radar. CoRR Jia Xu, Teng Xiao, Pin Lv, Zhe Chen, Chao Cai, Yang Zhang, Zehui Xiong
2023	J	`jnl`	A General Offline Reinforcement Learning Framework for Interactive Recommendation. CoRR Teng Xiao, Donglin Wang
2023	A*	`conf`	Certifiably Robust Graph Contrastive Learning. NeurIPS Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang
2023	J	`jnl`	Certifiably Robust Graph Contrastive Learning. CoRR Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang
2023	J	`jnl`	Counterfactual Learning on Graphs: A Survey. CoRR Zhimeng Guo, Teng Xiao, Charu Aggarwal, Hui Liu, Suhang Wang
2023	J	`jnl`	Fairness-aware Message Passing for Graph Neural Networks. CoRR Huaisheng Zhu, Guoji Fu, Zhimeng Guo, Zhiwei Zhang, Teng Xiao, Suhang Wang
2023	J	`jnl`	Improving Fairness of Graph Neural Networks: A Graph Counterfactual Perspective. CoRR Zhimeng Guo, Jialiang Li, Teng Xiao, Yao Ma, Suhang Wang
2023	J	`jnl`	Improving knowledge tracing via a heterogeneous information network enhanced by student interactions. Expert Syst. Appl. Jia Xu, Xinyue Huang, Teng Xiao, Pin Lv
2023	J	`jnl`	Learning How to Propagate Messages in Graph Neural Networks. CoRR Teng Xiao, Zhengyu Chen, Donglin Wang, Suhang Wang
2023	J	`jnl`	Learning to Reweight for Graph Neural Network. CoRR Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu
2023	A*	`conf`	Reconsidering Learning Objectives in Unbiased Recommendation: A Distribution Shift Perspective. KDD Teng Xiao, Zhengyu Chen, Suhang Wang
2023	A*	`conf`	Simple and Asymmetric Graph Contrastive Learning without Augmentations. NeurIPS Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang
2023	J	`jnl`	Simple and Asymmetric Graph Contrastive Learning without Augmentations. CoRR Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang
2023	A	`conf`	Towards Fair Graph Neural Networks via Graph Counterfactual. CIKM Zhimeng Guo, Jialiang Li, Teng Xiao, Yao Ma, Suhang Wang
2022	A*	`conf`	BA-GNN: On Learning Bias-Aware Graph Neural Network. ICDE Zhengyu Chen, Teng Xiao, Kun Kuang
2022	A*	`conf`	Decoupled Self-supervised Learning for Graphs. NeurIPS Teng Xiao, Zhengyu Chen, Zhimeng Guo, Zeyang Zhuang, Suhang Wang
2022	J	`jnl`	Decoupled Self-supervised Learning for Non-Homophilous Graphs. CoRR Teng Xiao, Zhengyu Chen, Zhimeng Guo, Zeyang Zhuang, Suhang Wang
2022	A	`conf`	Representation Matters When Learning From Biased Feedback in Recommendation. CIKM Teng Xiao, Zhengyu Chen, Suhang Wang
2022	J	`jnl`	Towards Bridging Algorithm and Theory for Unbiased Recommendation. CoRR Teng Xiao, Zhengyu Chen, Suhang Wang
2022	A*	`conf`	Towards Off-Policy Learning for Ranking Policies with Logged Feedback. AAAI Teng Xiao, Suhang Wang
2022	A	`conf`	Towards Unbiased and Robust Causal Ranking for Recommender Systems. WSDM Teng Xiao, Suhang Wang
2021	A*	`conf`	A General Offline Reinforcement Learning Framework for Interactive Recommendation. AAAI Teng Xiao, Donglin Wang
2021	A*	`conf`	Learning How to Propagate Messages in Graph Neural Networks. KDD Teng Xiao, Zhengyu Chen, Donglin Wang, Suhang Wang
2021	J	`jnl`	Progressive Structure from Motion by Iteratively Prioritizing and Refining Match Pairs. Remote. Sens. Teng Xiao, Qingsong Yan, Weile Ma, Fei Deng
2019	A*	`conf`	Bayesian Deep Collaborative Matrix Factorization. AAAI Teng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng
2019	A	`conf`	Dynamic Bayesian Metric Learning for Personalized Product Search. CIKM Teng Xiao, Jiaxin Ren, Zaiqiao Meng, Huan Sun, Shangsong Liang
2019	A	`conf`	Dynamic Collaborative Recurrent Learning. CIKM Teng Xiao, Shangsong Liang, Zaiqiao Meng
2019	A*	`conf`	Hierarchical Neural Variational Model for Personalized Sequential Recommendation. WWW Teng Xiao, Shangsong Liang, Zaiqiao Meng
2019	A*	`conf`	ISLF: Interest Shift and Latent Factors Combination Model for Session-based Recommendation. IJCAI Jing Song, Hong Shen, Zijing Ou, Junyi Zhang, Teng Xiao, Shangsong Liang
2019	—	`conf`	Neural Variational Matrix Factorization with Side Information for Collaborative Filtering. PAKDD (1) Teng Xiao, Hong Shen
2019	J	`jnl`	Neural variational matrix factorization for collaborative filtering in recommendation systems. Appl. Intell. Teng Xiao, Hong Shen
2019	—	`conf`	Robustifying Relative Orientations With Respect to Repetitive Structures and Very Short Baselines for Global SfM. CVPR Workshops Xin Wang, Teng Xiao, Michael Gruber, Christian Heipke
2019	A*	`conf`	Semi-supervisedly Co-embedding Attributed Networks. NeurIPS Zaiqiao Meng, Shangsong Liang, Jinyuan Fang, Teng Xiao
2019	J	`jnl`	Semi-supervisedly Co-embedding Attributed Networks. CoRR Zaiqiao Meng, Shangsong Liang, Jinyuan Fang, Teng Xiao
2019	—	`conf`	Variational Deep Collaborative Matrix Factorization for Social Recommendation. PAKDD (1) Teng Xiao, Hui Tian, Hong Shen
2018	J	`jnl`	Neural Variational Hybrid Collaborative Filtering. CoRR Teng Xiao, Shangsong Liang, Hong Shen, Zaiqiao Meng