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Jiyan He
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2020 – today
- 2024
- [j1]Shuxin Zheng
, Jiyan He
Predicting equilibrium distributions for molecular systems with deep learning. Nat. Mac. Intell. 6(5): 558-567 (2024) - [c3]Weitao Feng, Wenbo Zhou, Jiyan He, Jie Zhang, Tianyi Wei, Guanlin Li, Tianwei Zhang, Weiming Zhang, Nenghai Yu:
AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA. ICML 2024 - [i8]Haoxiang Guan, Jiyan He, Shuxin Zheng, En-Hong Chen, Weiming Zhang, Nenghai Yu:
Towards Generalist Prompting for Large Language Models by Mental Models. CoRR abs/2402.18252 (2024) - [i7]Weitao Feng, Wenbo Zhou, Jiyan He, Jie Zhang, Tianyi Wei, Guanlin Li, Tianwei Zhang, Weiming Zhang, Nenghai Yu:
AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA. CoRR abs/2405.11135 (2024) - [i6]Yuxuan Ren, Dihan Zheng, Chang Liu, Peiran Jin, Yu Shi, Lin Huang, Jiyan He, Shengjie Luo, Tao Qin, Tie-Yan Liu:
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning. CoRR abs/2410.10118 (2024) - 2023
- [c2]Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian:
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping. ICLR 2023 - [i5]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:
Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning. CoRR abs/2306.05445 (2023) - [i4]Weitao Feng, Jiyan He, Jie Zhang, Tianwei Zhang, Wenbo Zhou, Weiming Zhang, Nenghai Yu:
Catch You Everything Everywhere: Guarding Textual Inversion via Concept Watermarking. CoRR abs/2309.05940 (2023) - [i3]Jiyan He, Weitao Feng, Yaosen Min, Jingwei Yi, Kunsheng Tang, Shuai Li, Jie Zhang, Kejiang Chen
Control Risk for Potential Misuse of Artificial Intelligence in Science. CoRR abs/2312.06632 (2023) - 2022
- [i2]Yu Shi, Shuxin Zheng, Guolin Ke, Yifei Shen, Jiacheng You, Jiyan He, Shengjie Luo, Chang Liu, Di He, Tie-Yan Liu:
Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets. CoRR abs/2203.04810 (2022) - [i1]Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian:
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping. CoRR abs/2212.01539 (2022)
2010 – 2019
Coauthor Index
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