Xiner Li

39 papers A* 11B 1Journal 27
YearRankTypeTitle / Venue / Authors
2026 J jnl
DC-W2S: Dual-Consensus Weak-to-Strong Training for Reliable Process Reward Modeling in Biological Reasoning.
CoRR
Chi-Min Chan, Ehsan Hajiramezanali, Xiner Li, Edward De Brouwer, Carl Edwards, Wei Xue, Sirui Han, Yike Guo, Gabriele Scalia
2026 J jnl
HumaniNet: A Dual-Branch Neural Framework for Predicting User Emotional Responses in Humanoid Characters.
IEEE Trans. Consumer Electron.
Xiner Li, Yi Xiao, Yan Zheng, Jie Zhang, Chi-Sing Leung
2025 J jnl
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.
Found. Trends Mach. Learn.
Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Alex Strasser, Haiyang Yu, Yuqing Xie, Xiang Fu, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji
2025 J jnl
Autonomous Agents for Scientific Discovery: Orchestrating Scientists, Language, Code, and Physics.
CoRR
Lianhao Zhou, Hongyi Ling, Cong Fu, Yepeng Huang, Michael Sun, Wendi Yu, Xiaoxuan Wang, Xiner Li, Xingyu Su, Junkai Zhang, Xiusi Chen, Chenxing Liang, Xiaofeng Qian, Heng Ji, Wei Wang, Marinka Zitnik, Shuiwang Ji
2025 J jnl
Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning.
CoRR
Shubham Parashar, Shurui Gui, Xiner Li, Hongyi Ling, Sushil Vemuri, Blake Olson, Eric Li, Yu Zhang, James Caverlee, Dileep Kalathil, Shuiwang Ji
2025 A* conf
Discovering Physics Laws of Dynamical Systems via Invariant Function Learning.
ICML
Shurui Gui, Xiner Li, Shuiwang Ji
2025 J jnl
Discovering Physics Laws of Dynamical Systems via Invariant Function Learning.
CoRR
Shurui Gui, Xiner Li, Shuiwang Ji
2025 J jnl
Dynamic Search for Inference-Time Alignment in Diffusion Models.
CoRR
Xiner Li, Masatoshi Uehara, Xingyu Su, Gabriele Scalia, Tommaso Biancalani, Aviv Regev, Sergey Levine, Shuiwang Ji
2025 A* conf
Eliminating Position Bias of Language Models: A Mechanistic Approach.
ICLR
Ziqi Wang, Hanlin Zhang, Xiner Li, Kuan-Hao Huang, Chi Han, Shuiwang Ji, Sham M. Kakade, Hao Peng, Heng Ji
2025 A* conf
Fragment and Geometry Aware Tokenization of Molecules for Structure-Based Drug Design Using Language Models.
ICLR
Cong Fu, Xiner Li, Blake Olson, Heng Ji, Shuiwang Ji
2025 A* conf
Geometry Informed Tokenization of Molecules for Language Model Generation.
ICML
Xiner Li, Limei Wang, Youzhi Luo, Carl Edwards, Shurui Gui, Yuchao Lin, Heng Ji, Shuiwang Ji
2025 J jnl
Hierarchical Language Model Design For Interpretable Graph Reasoning.
Trans. Mach. Learn. Res.
Sambhav Khurana, Xiner Li, Shurui Gui, Shuiwang Ji
2025 J jnl
Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review.
CoRR
Masatoshi Uehara, Yulai Zhao, Chenyu Wang, Xiner Li, Aviv Regev, Sergey Levine, Tommaso Biancalani
2025 J jnl
Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation.
CoRR
Keqiang Yan, Xiner Li, Hongyi Ling, Kenna Ashen, Carl Edwards, Raymundo Arróyave, Marinka Zitnik, Heng Ji, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
2025 J jnl
Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design.
CoRR
Xingyu Su, Xiner Li, Masatoshi Uehara, Sunwoo Kim, Yulai Zhao, Gabriele Scalia, Ehsan Hajiramezanali, Tommaso Biancalani, Degui Zhi, Shuiwang Ji
2025 J jnl
Language Models for Controllable DNA Sequence Design.
CoRR
Xingyu Su, Xiner Li, Yuchao Lin, Ziqian Xie, Degui Zhi, Shuiwang Ji
2025 J jnl
Language Models for Controllable DNA Sequence Design.
Trans. Mach. Learn. Res.
Xingyu Su, Xiner Li, Yuchao Lin, Ziqian Xie, Degui Zhi, Shuiwang Ji
2025 J jnl
Object-Aware 4D Human Motion Generation.
CoRR
Shurui Gui, Deep Anil Patel, Xiner Li, Martin Renqiang Min
2025 A* conf
Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design.
ICML
Masatoshi Uehara, Xingyu Su, Yulai Zhao, Xiner Li, Aviv Regev, Shuiwang Ji, Sergey Levine, Tommaso Biancalani
2025 J jnl
Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design.
CoRR
Masatoshi Uehara, Xingyu Su, Yulai Zhao, Xiner Li, Aviv Regev, Shuiwang Ji, Sergey Levine, Tommaso Biancalani
2024 J jnl
A Hierarchical Language Model For Interpretable Graph Reasoning.
CoRR
Sambhav Khurana, Xiner Li, Shurui Gui, Shuiwang Ji
2024 A* conf
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm.
ICLR
Shurui Gui, Xiner Li, Shuiwang Ji
2024 J jnl
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm.
CoRR
Shurui Gui, Xiner Li, Shuiwang Ji
2024 J jnl
Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding.
CoRR
Xiner Li, Yulai Zhao, Chenyu Wang, Gabriele Scalia, Gökcen Eraslan, Surag Nair, Tommaso Biancalani, Aviv Regev, Sergey Levine, Masatoshi Uehara
2024 J jnl
Eliminating Position Bias of Language Models: A Mechanistic Approach.
CoRR
Ziqi Wang, Hanlin Zhang, Xiner Li, Kuan-Hao Huang, Chi Han, Shuiwang Ji, Sham M. Kakade, Hao Peng, Heng Ji
2024 J jnl
Geometry Informed Tokenization of Molecules for Language Model Generation.
CoRR
Xiner Li, Limei Wang, Youzhi Luo, Carl Edwards, Shurui Gui, Yuchao Lin, Heng Ji, Shuiwang Ji
2024 A* conf
Graph Structure Extrapolation for Out-of-Distribution Generalization.
ICML
Xiner Li, Shurui Gui, Youzhi Luo, Shuiwang Ji
2024 A* conf
Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation.
NeurIPS
Keqiang Yan, Xiner Li, Hongyi Ling, Kenna Ashen, Carl Edwards, Raymundo Arróyave, Marinka Zitnik, Heng Ji, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
2024 A* conf
Position: TrustLLM: Trustworthiness in Large Language Models.
ICML
Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao
2024 J jnl
TrustLLM: Trustworthiness in Large Language Models.
CoRR
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
2023 J jnl
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.
CoRR
Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji
2023 J jnl
Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization.
CoRR
Xiner Li, Shurui Gui, Youzhi Luo, Shuiwang Ji
2023 A* conf
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization.
NeurIPS
Shurui Gui, Meng Liu, Xiner Li, Youzhi Luo, Shuiwang Ji
2023 J jnl
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization.
CoRR
Shurui Gui, Meng Liu, Xiner Li, Youzhi Luo, Shuiwang Ji
2022 A* conf
GOOD: A Graph Out-of-Distribution Benchmark.
NeurIPS
Shurui Gui, Xiner Li, Limei Wang, Shuiwang Ji
2022 J jnl
GOOD: A Graph Out-of-Distribution Benchmark.
CoRR
Shurui Gui, Xiner Li, Limei Wang, Shuiwang Ji
2021 B conf
Dynamic 3D point cloud streaming: distortion and concealment.
NOSSDAV
Cheng-Hao Wu, Xiner Li, Rahul Rajesh, Wei Tsang Ooi, Cheng-Hsin Hsu
2021 J jnl
Keyword Search Based on Unsupervised Pre-Trained Acoustic Models.
Int. J. Asian Lang. Process.
Xiner Li, Jing Zhao, Wei-Qiang Zhang, Zhiqiang Lv, Shen Huang
2020 J jnl
A new approach in reject inference of using ensemble learning based on global semi-supervised framework.
Future Gener. Comput. Syst.
Yan Liu, Xiner Li, Zaimei Zhang