| 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 | 74* | 2024 |
| 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 | 68 | 2022 |
| 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 | 44 | 2022 |
| 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 | 8 | 2024 |
| 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 | 7 | 2023 |
| 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 | 5 | 2023 |
| 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, ... | 5 | 2022 |
| Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning Y Ren, D Zheng, C Liu, P Jin, Y Shi, L Huang, J He, S Luo, T Qin, TY Liu arXiv preprint arXiv:2410.10118, 2024 | | 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 | | 2024 |
Tie-Yan LiuDistinguished Scientist, Microsoft Research AI4Science | IEEE Fellow | ACM Fellow | AAIA FellowVerified email at microsoft.com
