An Efficient Permissioned Blockchain Model with Provable Reputation Mechanism. - Hongyin Chen; Zhaohua Chen 001; Yukun Cheng; Xiaotie Deng; Wenhan Huang; Jichen Li; Hongyi Ling; Mengqian Zhang (CoRR, 2020)

Pose Estimation of Specular and Symmetrical Objects. - Jiaming Hu; Hongyi Ling; Priyam Parashar; Aayush Naik; Henrik I. Christensen (CoRR, 2020)

Poster: An Efficient Permissioned Blockchain with Provable Reputation Mechanism. - Hongyin Chen; Zhaohua Chen 001; Yukun Cheng; Xiaotie Deng; Wenhan Huang; Jichen Li; Hongyi Ling; Mengqian Zhang (ICDCS, 2021)

From Monopoly to Competition: Optimal Contests Prevail. - Xiaotie Deng; Yotam Gafni; Ron Lavi; Tao Lin 013; Hongyi Ling (AAAI, 2023)

Learning Fair Graph Representations via Automated Data Augmentations. - Hongyi Ling; Zhimeng Jiang; Youzhi Luo; Shuiwang Ji; Na Zou 001 (ICLR, 2023)

Graph Mixup with Soft Alignments. - Hongyi Ling; Zhimeng Jiang; Meng Liu 015; Shuiwang Ji; Na Zou 001 (ICML, 2023)

A Provable Softmax Reputation-Based Protocol for Permissioned Blockchains. - Hongyin Chen; Zhaohua Chen 001; Yukun Cheng; Xiaotie Deng; Wenhan Huang; Jichen Li; Hongyi Ling; Mengqian Zhang (IEEE Trans. Cloud Comput., 2023)

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)

Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems. - Cong Fu 003; Xuan Zhang; Huixin Zhang; Hongyi Ling; Shenglong Xu; Shuiwang Ji (SDM, 2024)

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)

From monopoly to competition: When do optimal contests prevail? - Xiaotie Deng; Yotam Gafni; Ron Lavi; Tao Lin 013; Hongyi Ling (Games Econ. Behav., 2025)

Counterfactual Fairness on Graphs: Augmentations, Hidden Confounders, and Identifiability. - Hongyi Ling; Zhimeng Jiang; Na Zou 001; Shuiwang Ji (Trans. Mach. Learn. Res., 2025)

Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights. - Shubham Parashar; Blake Olson; Sambhav Khurana; Eric Li; Hongyi Ling; James Caverlee; Shuiwang Ji (CoRR, 2025)

Complex LLM Planning via Automated Heuristics Discovery. - Hongyi Ling; Shubham Parashar; Sambhav Khurana; Blake Olson; Anwesha Basu; Gaurangi Sinha; Zhengzhong Tu; James Caverlee; Shuiwang Ji (CoRR, 2025)

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists. - Lianhao Zhou; Hongyi Ling; Keqiang Yan; Kaiji Zhao; Xiaoning Qian; Raymundo Arróyave; Xiaofeng Qian; 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)