Xiner Li

According to our database, Xiner Li authored at least 25 papers between 2020 and 2025.

Collaborative distances:

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

2025

Language Models for Controllable DNA Sequence Design.

Xingyu Su, Xiner Li, Yuchao Lin, Ziqian Xie, Degui Zhi, Shuiwang Ji

CoRR, July, 2025

Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design.

Xingyu Su, Xiner Li, Masatoshi Uehara, Sunwoo Kim, Yulai Zhao, Gabriele Scalia, Ehsan Hajiramezanali, Tommaso Biancalani, Degui Zhi, Shuiwang Ji

CoRR, July, 2025

Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning.

Shubham Parashar, Shurui Gui, Xiner Li, Hongyi Ling, Sushil Vemuri, Blake Olson, Eric Li, Yu Zhang, James Caverlee, Dileep Kalathil, Shuiwang Ji

CoRR, June, 2025

Dynamic Search for Inference-Time Alignment in Diffusion Models.

Xiner Li, Masatoshi Uehara, Xingyu Su, Gabriele Scalia, Tommaso Biancalani, Aviv Regev, Sergey Levine, Shuiwang Ji

CoRR, March, 2025

Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design.

Masatoshi Uehara, Xingyu Su, Yulai Zhao, Xiner Li, Aviv Regev, Shuiwang Ji, Sergey Levine, Tommaso Biancalani

CoRR, February, 2025

Discovering Physics Laws of Dynamical Systems via Invariant Function Learning.

Shurui Gui, Xiner Li, Shuiwang Ji

CoRR, February, 2025

Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review.

Masatoshi Uehara, Yulai Zhao, Chenyu Wang, Xiner Li, Aviv Regev, Sergey Levine, Tommaso Biancalani

CoRR, January, 2025

Hierarchical Language Model Design For Interpretable Graph Reasoning.

Sambhav Khurana, Xiner Li, Shurui Gui, Shuiwang Ji

Trans. Mach. Learn. Res., 2025

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.

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

Found. Trends Mach. Learn., 2025

Eliminating Position Bias of Language Models: A Mechanistic Approach.

Ziqi Wang, Hanlin Zhang, Xiner Li, Kuan-Hao Huang, Chi Han, Shuiwang Ji, Sham M. Kakade, Hao Peng, Heng Ji

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Fragment and Geometry Aware Tokenization of Molecules for Structure-Based Drug Design Using Language Models.

Cong Fu, Xiner Li, Blake Olson, Heng Ji, Shuiwang Ji

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

A Hierarchical Language Model For Interpretable Graph Reasoning.

Sambhav Khurana, Xiner Li, Shurui Gui, Shuiwang Ji

CoRR, 2024

Geometry Informed Tokenization of Molecules for Language Model Generation.

Xiner Li, Limei Wang, Youzhi Luo, Carl Edwards, Shurui Gui, Yuchao Lin, Heng Ji, Shuiwang Ji

CoRR, 2024

Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding.

Xiner Li, Yulai Zhao, Chenyu Wang, Gabriele Scalia, Gökcen Eraslan, Surag Nair, Tommaso Biancalani, Aviv Regev, Sergey Levine, Masatoshi Uehara

CoRR, 2024

TrustLLM: Trustworthiness in Large Language Models.

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

CoRR, 2024

Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation.

Keqiang Yan, Xiner Li, Hongyi Ling, Kenna Ashen, Carl Edwards, Raymundo Arróyave, Marinka Zitnik, Heng Ji, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Graph Structure Extrapolation for Out-of-Distribution Generalization.

Xiner Li, Shurui Gui, Youzhi Luo, Shuiwang Ji

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: TrustLLM: Trustworthiness in Large Language Models.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Active Test-Time Adaptation: Theoretical Analyses and An Algorithm.

Shurui Gui, Xiner Li, Shuiwang Ji

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization.

Xiner Li, Shurui Gui, Youzhi Luo, Shuiwang Ji

CoRR, 2023

Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization.

Shurui Gui, Meng Liu, Xiner Li, Youzhi Luo, Shuiwang Ji

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

2022

GOOD: A Graph Out-of-Distribution Benchmark.

Shurui Gui, Xiner Li, Limei Wang, Shuiwang Ji

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

2021

Keyword Search Based on Unsupervised Pre-Trained Acoustic Models.

Xiner Li, Jing Zhao, Wei-Qiang Zhang, Zhiqiang Lv, Shen Huang

Int. J. Asian Lang. Process., 2021

Dynamic 3D point cloud streaming: distortion and concealment.

Cheng-Hao Wu, Xiner Li, Rahul Rajesh, Wei Tsang Ooi, Cheng-Hsin Hsu

Proceedings of the 31st ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, 2021

2020

A new approach in reject inference of using ensemble learning based on global semi-supervised framework.

Yan Liu, Xiner Li, Zaimei Zhang

Future Gener. Comput. Syst., 2020