| High-resolution de novo structure prediction from primary sequence R Wu, F Ding, R Wang, R Shen, X Zhang, S Luo, C Su, Z Wu, Q Xie, ... BioRxiv, 2022.07. 21.500999, 2022 | 234 | 2022 |
| Deep learning guided optimization of human antibody against SARS-CoV-2 variants with broad neutralization S Shan, S Luo, Z Yang, J Hong, Y Su, F Ding, L Fu, C Li, P Chen, J Ma, ... Proceedings of the National Academy of Sciences 119 (11), e2122954119, 2022 | 84 | 2022 |
| Proximal exploration for model-guided protein sequence design Z Ren, J Li, F Ding, Y Zhou, J Ma, J Peng International Conference on Machine Learning, 18520-18536, 2022 | 29 | 2022 |
| Regulation of electronic structure in medium-entropy metal sulfides nanoparticles as highly efficient bifunctional electrocatalysts for zinc-air battery H Wu, Z Li, Z Wang, Y Ma, S Huang, F Ding, F Li, Q Zhai, Y Ren, X Zheng, ... Applied Catalysis B: Environmental 325, 122356, 2023 | 24 | 2023 |
| Stein variational inference for discrete distributions J Han, F Ding, X Liu, L Torresani, J Peng, Q Liu International Conference on Artificial Intelligence and Statistics, 4563-4572, 2020 | 24 | 2020 |
| Progressive Generative Hashing for Image Retrieval. Y Ma, Y He, F Ding, S Hu, J Li, X Liu IJCAI, 871-877, 2018 | 23 | 2018 |
| Amorphous FeNiCu-MOFs as highly efficient electrocatalysts for the oxygen evolution reaction in an alkaline medium H Wu, Q Zhai, F Ding, D Sun, Y Ma, Y Ren, B Wang, F Li, H Bian, Y Yang, ... Dalton Transactions 51 (37), 14306-14316, 2022 | 13 | 2022 |
| Medium‐Entropy Metal Selenides Nanoparticles with Optimized Electronic Structure as High‐Performance Bifunctional Electrocatalysts for Overall Water Splitting H Wu, Z Wang, Z Li, Y Ma, F Ding, F Li, H Bian, Q Zhai, Y Ren, Y Shi, ... Advanced Energy Materials 13 (28), 2300837, 2023 | 8 | 2023 |
| X-MEN: Guaranteed XOR-Maximum Entropy Constrained Inverse Reinforcement Learning F Ding, Y Xue Uncertainty in Artificial Intelligence, 2022 | 6 | 2022 |
| Amorphous Bimetallic Metal–Organic Frameworks with an Optimized D-Band Center Enable Accelerating Oxygen Evolution Reaction H Wu, S Huang, F Ding, Y Ma, Q Zhai, Y Ren, Y Yang, L Chen, S Tang, ... The Journal of Physical Chemistry C 126 (46), 19715-19725, 2022 | 5 | 2022 |
| Xor-cd: Linearly convergent constrained structure generation F Ding, J Ma, J Xu, Y Xue International Conference on Machine Learning, 2728-2738, 2021 | 5 | 2021 |
| Contrastive divergence learning with chained belief propagation D Fan, X Yexiang International Conference on Probabilistic Graphical Models, 161-172, 2020 | 5 | 2020 |
| Towards efficient discrete integration via adaptive quantile queries F Ding, H Wang, A Sabharwal, Y Xue arXiv preprint arXiv:1910.05811, 2019 | 4 | 2019 |
| Boosting single-cell gene regulatory network reconstruction via bulk-cell transcriptomic data H Shu, F Ding, J Zhou, Y Xue, D Zhao, J Zeng, J Ma Briefings in Bioinformatics 23 (5), bbac389, 2022 | 3 | 2022 |
| XOR-SGD: provable convex stochastic optimization for decision-making under uncertainty F Ding, Y Xue Uncertainty in Artificial Intelligence, 151-160, 2021 | 2 | 2021 |
| Provable Constrained Stochastic Convex Optimization with XOR-Projected Gradient Descent F Ding, Y Wang, J Ma, Y Xue arXiv preprint arXiv:2203.11829, 2022 | | 2022 |
| PALM: Probabilistic Area Loss Minimization for Protein Sequence Alignment F Ding, N Jiang, J Ma, J Peng, J Xu, Y Xue Uncertainty in Artificial Intelligence, 1100-1109, 2021 | | 2021 |
| AdaWISH: Faster Discrete Integration via Adaptive Quantiles F Ding, H Wang, A Sabharwal, Y Xue https://arxiv.org/abs/1910.05811v1, 2019 | | 2019 |
Jianzhu MaTsinghua UniversityVerified email at tsinghua.edu.cn
