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Fan Ding
Fan Ding
Computer Science Ph.D, Purdue University
Bestätigte E-Mail-Adresse bei purdue.edu - Startseite
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Zitiert von
Zitiert von
Jahr
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
3632022
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
1232022
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
512023
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
482022
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
442023
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
282020
Progressive Generative Hashing for Image Retrieval.
Y Ma, Y He, F Ding, S Hu, J Li, X Liu
IJCAI, 871-877, 2018
242018
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
172022
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
112022
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
92022
X-MEN: Guaranteed XOR-Maximum Entropy Constrained Inverse Reinforcement Learning
F Ding, Y Xue
Uncertainty in Artificial Intelligence, 2022
82022
Xor-cd: Linearly convergent constrained structure generation
F Ding, J Ma, J Xu, Y Xue
International Conference on Machine Learning, 2728-2738, 2021
52021
Contrastive divergence learning with chained belief propagation
D Fan, X Yexiang
International Conference on Probabilistic Graphical Models, 161-172, 2020
52020
Towards efficient discrete integration via adaptive quantile queries
F Ding, H Wang, A Sabharwal, Y Xue
ECAI 2020, 2577-2584, 2020
42020
Constructing a medium-entropy spinel oxide FeNiMnO 4/CeO 2 heterojunction as a high-performance electrocatalyst for the oxygen evolution reaction
H Wu, Z Wang, Y Shi, Z Li, F Ding, Y Ren, F Li, H Bian, C Wang, Y Yang, ...
Inorganic Chemistry Frontiers 11 (13), 3786-3798, 2024
32024
NiO/RuO2 p–n Heterojunction Nanofoam as a High-Performance Electrocatalyst for Desulfurization and Concurrent Hydrogen Evolution
H Wu, C Wang, Y Ma, S Huang, Y Ren, F Ding, F Li, Y Yang, J Gu, S Tang, ...
Inorganic Chemistry 63 (27), 12604-12614, 2024
22024
XOR-SGD: provable convex stochastic optimization for decision-making under uncertainty
F Ding, Y Xue
Uncertainty in Artificial Intelligence, 151-160, 2021
22021
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
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