Jiyan He

According to our database, Jiyan He authored at least 21 papers between 2019 and 2026.

Collaborative distances:

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

2026

FutureWorld: A Live Environment for Training Predictive Agents with Real-World Outcome Rewards.

Zhixin Han, Yanzhi Zhang, Chuyang Wei, Maohang Gao, Xiawei Yue, Kefei Chen, Yu Zhuang, Haoxiang Guan, Jiyan He, Jian Li, Yitong Duan, Yu Shi, Mengting Hu, Shuxin Zheng

CoRR, April, 2026

The World Leaks the Future: Harness Evolution for Future Prediction Agents.

Chuyang Wei, Maohang Gao, Zhixin Han, Kefei Chen, Yu Zhuang, Haoxiang Guan, Yanzhi Zhang, Yilin Cheng, Jiyan He, Huanhuan Chen, Jian Li, Yu Shi, Yitong Duan, Shuxin Zheng

CoRR, April, 2026

Can a Lightweight Automated AI Pipeline Solve Research-Level Mathematical Problems?

Lve Meng, Weilong Zhao, Yanzhi Zhang, Haoxiang Guan, Jiyan He

CoRR, February, 2026

GUIGuard: Toward a General Framework for Privacy-Preserving GUI Agents.

Yanxi Wang, Zhiling Zhang, Wenbo Zhou, Weiming Zhang, Jie Zhang, Qiannan Zhu, Yu Shi, Shuxin Zheng, Jiyan He

CoRR, January, 2026

2025

One Tool Is Enough: Reinforcement Learning for Repository-Level LLM Agents.

Zhaoxi Zhang, Yitong Duan, Yanzhi Zhang, Yiming Xu, Jiyan He, Yunfang Wu

CoRR, December, 2025

Population-Evolve: a Parallel Sampling and Evolutionary Method for LLM Math Reasoning.

Yanzhi Zhang, Yitong Duan, Zhaoxi Zhang, Jiyan He, Shuxin Zheng

CoRR, December, 2025

GTM: Simulating the World of Tools for AI Agents.

Zhenzhen Ren, Xinpeng Zhang, Zhenxing Qian, Yan Gao, Yu Shi, Shuxin Zheng, Jiyan He

CoRR, December, 2025

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning.

Yanzhi Zhang, Zhaoxi Zhang, Haoxiang Guan, Yilin Cheng, Yitong Duan, Chen Wang, Yue Wang, Shuxin Zheng, Jiyan He

CoRR, June, 2025

Modeling Earth-Scale Human-Like Societies with One Billion Agents.

Haoxiang Guan, Jiyan He, Liyang Fan, Zhenzhen Ren, Shaobin He, Xin Yu, Yuan Chen, Shuxin Zheng, Tie-Yan Liu, Zhen Liu

CoRR, June, 2025

RedChronos: A Large Language Model-Based Log Analysis System for Insider Threat Detection in Enterprises.

Chenyu Li, Zhengjia Zhu, Jiyan He, Xiu Zhang

CoRR, March, 2025

2024

Author Correction: Predicting equilibrium distributions for molecular systems with deep learning.

Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noé, Haiguang Liu, Tie-Yan Liu

Nat. Mac. Intell., 2024

Predicting equilibrium distributions for molecular systems with deep learning.

Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noé, Haiguang Liu, Tie-Yan Liu

Nat. Mac. Intell., 2024

Towards Generalist Prompting for Large Language Models by Mental Models.

Haoxiang Guan, Jiyan He, Shuxin Zheng, En-Hong Chen, Weiming Zhang, Nenghai Yu

CoRR, 2024

Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning.

Yuxuan Ren, Dihan Zheng, Chang Liu, Peiran Jin, Yu Shi, Lin Huang, Jiyan He, Shengjie Luo, Tao Qin, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA.

Weitao Feng, Wenbo Zhou, Jiyan He, Jie Zhang, Tianyi Wei, Guanlin Li, Tianwei Zhang, Weiming Zhang, Nenghai Yu

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

2023

Control Risk for Potential Misuse of Artificial Intelligence in Science.

Jiyan He, Weitao Feng, Yaosen Min, Jingwei Yi, Kunsheng Tang, Shuai Li, Jie Zhang, Kejiang Chen, Wenbo Zhou, Xing Xie, Weiming Zhang, Nenghai Yu, Shuxin Zheng

CoRR, 2023

Catch You Everything Everywhere: Guarding Textual Inversion via Concept Watermarking.

Weitao Feng, Jiyan He, Jie Zhang, Tianwei Zhang, Wenbo Zhou, Weiming Zhang, Nenghai Yu

CoRR, 2023

Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning.

Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noé, Haiguang Liu, Tie-Yan Liu

CoRR, 2023

Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping.

Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets.

Yu Shi, Shuxin Zheng, Guolin Ke, Yifei Shen, Jiacheng You, Jiyan He, Shengjie Luo, Chang Liu, Di He, Tie-Yan Liu

CoRR, 2022

2019

Research on Computer Network Information Security and Protection Countermeasure in Big Data Era.

Jiyan He, Yanbin He

Proceedings of the Data Processing Techniques and Applications for Cyber-Physical Systems, 2019