Jiyan He
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Benchmarking graphormer on large-scale molecular modeling datasets
Y Shi, S Zheng, G Ke, Y Shen, J You, J He, S Luo, C Liu, D He, TY Liu
arXiv preprint arXiv:2203.04810, 2022
Predicting equilibrium distributions for molecular systems with deep learning
S Zheng, J He, C Liu, Y Shi, Z Lu, W Feng, F Ju, J Wang, J Zhu, Y Min, ...
Nature Machine Intelligence, 1-10, 2024
Exploring the limits of differentially private deep learning with group-wise clipping
J He, X Li, D Yu, H Zhang, J Kulkarni, YT Lee, A Backurs, N Yu, J Bian
arXiv preprint arXiv:2212.01539, 2022
Masked molecule modeling: a new paradigm of molecular representation learning for chemistry understanding
J He, K Tian, S Luo, Y Min, S Zheng, Y Shi, D He, H Liu, N Yu, L Wang, ...
Control risk for potential misuse of artificial intelligence in science
J He, W Feng, Y Min, J Yi, K Tang, S Li, J Zhang, K Chen, W Zhou, X Xie, ...
arXiv preprint arXiv:2312.06632, 2023
Catch You Everything Everywhere: Guarding Textual Inversion via Concept Watermarking
W Feng, J He, J Zhang, T Zhang, W Zhou, W Zhang, N Yu
arXiv preprint arXiv:2309.05940, 2023
AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA
W Feng, W Zhou, J He, J Zhang, T Wei, G Li, T Zhang, W Zhang, N Yu
arXiv preprint arXiv:2405.11135, 2024
Towards Generalist Prompting for Large Language Models by Mental Models
H Guan, J He, S Zheng, EH Chen, W Zhang, N Yu
arXiv preprint arXiv:2402.18252, 2024
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