A new approach in reject inference of using ensemble learning based on global semi-supervised framework. - Yan Liu 032; Xiner Li; Zaimei Zhang (Future Gener. Comput. Syst., 2020)

Dynamic 3D point cloud streaming: distortion and concealment. - Cheng-Hao Wu; Xiner Li; Rahul Rajesh; Wei Tsang Ooi; Cheng-Hsin Hsu (NOSSDAV, 2021)

Keyword Search Based on Unsupervised Pre-Trained Acoustic Models. - Xiner Li; Jing Zhao; Wei-Qiang Zhang 001; Zhiqiang Lv; Shen Huang (Int. J. Asian Lang. Process., 2021)

GOOD: A Graph Out-of-Distribution Benchmark. - Shurui Gui; Xiner Li; Limei Wang; Shuiwang Ji (NeurIPS, 2022)

Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization. - Shurui Gui; Meng Liu 015; Xiner Li; Youzhi Luo; Shuiwang Ji (NeurIPS, 2023)

Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization. - Xiner Li; Shurui Gui; Youzhi Luo; Shuiwang Ji (CoRR, 2023)

Active Test-Time Adaptation: Theoretical Analyses and An Algorithm. - Shurui Gui; Xiner Li; Shuiwang Ji (ICLR, 2024)

Position: TrustLLM: Trustworthiness in Large Language Models. - Yue Huang; Lichao Sun 001; Haoran Wang 005; Siyuan Wu 001; Qihui Zhang; Yuan Li; Chujie Gao; Yixin Huang; Wenhan Lyu; Yixuan Zhang; Xiner Li; Hanchi Sun; et al. (ICML, 2024)

Graph Structure Extrapolation for Out-of-Distribution Generalization. - Xiner Li; Shurui Gui; Youzhi Luo; Shuiwang Ji (ICML, 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 001; Xiaofeng Qian; Xiaoning Qian; Shuiwang Ji (NeurIPS, 2024)

TrustLLM: Trustworthiness in Large Language Models. - Lichao Sun 001; Yue Huang 001; Haoran Wang 005; Siyuan Wu 001; Qihui Zhang; Chujie Gao; Yixin Huang; Wenhan Lyu; Yixuan Zhang 001; Xiner Li; Zhengliang Liu; Yixin Liu 002; et al. (CoRR, 2024)

Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding. - Xiner Li; Yulai Zhao 002; Chenyu Wang 003; Gabriele Scalia; Gökcen Eraslan; Surag Nair; Tommaso Biancalani; Aviv Regev; Sergey Levine; Masatoshi Uehara (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 001; Shuiwang Ji (CoRR, 2024)

A Hierarchical Language Model For Interpretable Graph Reasoning. - Sambhav Khurana; Xiner Li; Shurui Gui; Shuiwang Ji (CoRR, 2024)

Fragment and Geometry Aware Tokenization of Molecules for Structure-Based Drug Design Using Language Models. - Cong Fu 003; Xiner Li; Blake Olson; Heng Ji 001; Shuiwang Ji (ICLR, 2025)

Eliminating Position Bias of Language Models: A Mechanistic Approach. - Ziqi Wang 003; Hanlin Zhang 002; Xiner Li; Kuan-Hao Huang; Chi Han; Shuiwang Ji; Sham M. Kakade; Hao Peng 009; Heng Ji 001 (ICLR, 2025)

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. - Xuan Zhang; Limei Wang; Jacob Helwig; Youzhi Luo; Cong Fu 003; Yaochen Xie; Meng Liu 015; Yuchao Lin; Zhao Xu 005; Keqiang Yan; Keir Adams; Maurice Weiler; et al. (Found. Trends Mach. Learn., 2025)

Hierarchical Language Model Design For Interpretable Graph Reasoning. - Sambhav Khurana; Xiner Li; Shurui Gui; Shuiwang Ji (Trans. Mach. Learn. Res., 2025)

Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review. - Masatoshi Uehara; Yulai Zhao 002; Chenyu Wang 003; Xiner Li; Aviv Regev; Sergey Levine; Tommaso Biancalani (CoRR, 2025)

Discovering Physics Laws of Dynamical Systems via Invariant Function Learning. - Shurui Gui; Xiner Li; Shuiwang Ji (CoRR, 2025)

Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design. - Masatoshi Uehara; Xingyu Su; Yulai Zhao 002; Xiner Li; Aviv Regev; Shuiwang Ji; Sergey Levine; Tommaso Biancalani (CoRR, 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, 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 044; James Caverlee; Dileep Kalathil; Shuiwang Ji (CoRR, 2025)

Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design. - Xingyu Su; Xiner Li; Masatoshi Uehara; Sunwoo Kim; Yulai Zhao 002; Gabriele Scalia; Ehsan Hajiramezanali; Tommaso Biancalani; Degui Zhi; Shuiwang Ji (CoRR, 2025)

Language Models for Controllable DNA Sequence Design. - Xingyu Su; Xiner Li; Yuchao Lin; Ziqian Xie; Degui Zhi; Shuiwang Ji (CoRR, 2025)