Hongyi Ling

According to our database, Hongyi Ling authored at least 20 papers between 2020 and 2026.

Collaborative distances:

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

2026

Sound State Encodings in Translational Separation Logic Verifiers (Extended Version).

Hongyi Ling, Thibault Dardinier, Ellen Arlt, Peter Müller

CoRR, March, 2026

2025

Autonomous Agents for Scientific Discovery: Orchestrating Scientists, Language, Code, and Physics.

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

CoRR, October, 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

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, June, 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, February, 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, February, 2025

Counterfactual Fairness on Graphs: Augmentations, Hidden Confounders, and Identifiability.

Hongyi Ling, Zhimeng Jiang, Na Zou, Shuiwang Ji

Trans. Mach. Learn. Res., 2025

From monopoly to competition: When do optimal contests prevail?

Xiaotie Deng, Yotam Gafni, Ron Lavi, Tao Lin, Hongyi Ling

Games Econ. Behav., 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

Balancing Fine-tuning and RAG: A Hybrid Strategy for Dynamic LLM Recommendation Updates.

Changping Meng, Hongyi Ling, Jianling Wang, Yifan Liu, Shuzhou Zhang, Dapeng Hong, Mingyan Gao, Onkar Dalal, Ed H. Chi, Lichan Hong, Haokai Lu, Ningren Han

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

On Explaining Equivariant Graph Networks via Improved Relevance Propagation.

Hongyi Ling, Haiyang Yu, Zhimeng Jiang, Na Zou, Shuiwang Ji

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems.

Cong Fu, Xuan Zhang, Huixin Zhang, Hongyi Ling, Shenglong Xu, Shuiwang Ji

Proceedings of the 2024 SIAM International Conference on Data Mining, 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 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

A Provable Softmax Reputation-Based Protocol for Permissioned Blockchains.

Hongyin Chen, Zhaohua Chen, Yukun Cheng, Xiaotie Deng, Wenhan Huang, Jichen Li, Hongyi Ling, Mengqian Zhang

IEEE Trans. Cloud Comput., 2023

Graph Mixup with Soft Alignments.

Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou

Proceedings of the International Conference on Machine Learning, 2023

Learning Fair Graph Representations via Automated Data Augmentations.

Hongyi Ling, Zhimeng Jiang, Youzhi Luo, Shuiwang Ji, Na Zou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

From Monopoly to Competition: Optimal Contests Prevail.

Xiaotie Deng, Yotam Gafni, Ron Lavi, Tao Lin, Hongyi Ling

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Poster: An Efficient Permissioned Blockchain with Provable Reputation Mechanism.

Hongyin Chen, Zhaohua Chen, Yukun Cheng, Xiaotie Deng, Wenhan Huang, Jichen Li, Hongyi Ling, Mengqian Zhang

Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

2020

Pose Estimation of Specular and Symmetrical Objects.

Jiaming Hu, Hongyi Ling, Priyam Parashar, Aayush Naik, Henrik I. Christensen

CoRR, 2020

An Efficient Permissioned Blockchain Model with Provable Reputation Mechanism.

Hongyin Chen, Zhaohua Chen, Yukun Cheng, Xiaotie Deng, Wenhan Huang, Jichen Li, Hongyi Ling, Mengqian Zhang

CoRR, 2020