Jiyan He

22 papers A* 3Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Can a Lightweight Automated AI Pipeline Solve Research-Level Mathematical Problems?
CoRR
Lve Meng, Weilong Zhao, Yanzhi Zhang, Haoxiang Guan, Jiyan He
2026 J jnl
GUIGuard: Toward a General Framework for Privacy-Preserving GUI Agents.
CoRR
Yanxi Wang, Zhiling Zhang, Wenbo Zhou, Weiming Zhang, Jie Zhang, Qiannan Zhu, Yu Shi, Shuxin Zheng, Jiyan He
2025 J jnl
GTM: Simulating the World of Tools for AI Agents.
CoRR
Zhenzhen Ren, Xinpeng Zhang, Zhenxing Qian, Yan Gao, Yu Shi, Shuxin Zheng, Jiyan He
2025 J jnl
Modeling Earth-Scale Human-Like Societies with One Billion Agents.
CoRR
Haoxiang Guan, Jiyan He, Liyang Fan, Zhenzhen Ren, Shaobin He, Xin Yu, Yuan Chen, Shuxin Zheng, Tie-Yan Liu, Zhen Liu
2025 J jnl
No Free Lunch: Rethinking Internal Feedback for LLM Reasoning.
CoRR
Yanzhi Zhang, Zhaoxi Zhang, Haoxiang Guan, Yilin Cheng, Yitong Duan, Chen Wang, Yue Wang, Shuxin Zheng, Jiyan He
2025 J jnl
One Tool Is Enough: Reinforcement Learning for Repository-Level LLM Agents.
CoRR
Zhaoxi Zhang, Yitong Duan, Yanzhi Zhang, Yiming Xu, Jiyan He, Yunfang Wu
2025 J jnl
Population-Evolve: a Parallel Sampling and Evolutionary Method for LLM Math Reasoning.
CoRR
Yanzhi Zhang, Yitong Duan, Zhaoxi Zhang, Jiyan He, Shuxin Zheng
2025 J jnl
RedChronos: A Large Language Model-Based Log Analysis System for Insider Threat Detection in Enterprises.
CoRR
Chenyu Li, Zhengjia Zhu, Jiyan He, Xiu Zhang
2024 A* conf
AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA.
ICML
Weitao Feng, Wenbo Zhou, Jiyan He, Jie Zhang, Tianyi Wei, Guanlin Li, Tianwei Zhang, Weiming Zhang, Nenghai Yu
2024 J jnl
AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA.
CoRR
Weitao Feng, Wenbo Zhou, Jiyan He, Jie Zhang, Tianyi Wei, Guanlin Li, Tianwei Zhang, Weiming Zhang, Nenghai Yu
2024 J jnl
Author Correction: Predicting equilibrium distributions for molecular systems with deep learning.
Nat. Mac. Intell.
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
2024 A* conf
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning.
NeurIPS
Yuxuan Ren, Dihan Zheng, Chang Liu, Peiran Jin, Yu Shi, Lin Huang, Jiyan He, Shengjie Luo, Tao Qin, Tie-Yan Liu
2024 J jnl
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning.
CoRR
Yuxuan Ren, Dihan Zheng, Chang Liu, Peiran Jin, Yu Shi, Lin Huang, Jiyan He, Shengjie Luo, Tao Qin, Tie-Yan Liu
2024 J jnl
Predicting equilibrium distributions for molecular systems with deep learning.
Nat. Mac. Intell.
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
2024 J jnl
Towards Generalist Prompting for Large Language Models by Mental Models.
CoRR
Haoxiang Guan, Jiyan He, Shuxin Zheng, En-Hong Chen, Weiming Zhang, Nenghai Yu
2023 J jnl
Catch You Everything Everywhere: Guarding Textual Inversion via Concept Watermarking.
CoRR
Weitao Feng, Jiyan He, Jie Zhang, Tianwei Zhang, Wenbo Zhou, Weiming Zhang, Nenghai Yu
2023 J jnl
Control Risk for Potential Misuse of Artificial Intelligence in Science.
CoRR
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
2023 A* conf
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping.
ICLR
Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian
2023 J jnl
Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning.
CoRR
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
2022 J jnl
Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets.
CoRR
Yu Shi, Shuxin Zheng, Guolin Ke, Yifei Shen, Jiacheng You, Jiyan He, Shengjie Luo, Chang Liu, Di He, Tie-Yan Liu
2022 J jnl
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping.
CoRR
Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian
2019 — conf
Research on Computer Network Information Security and Protection Countermeasure in Big Data Era.
DPTA
Jiyan He, Yanbin He