Ben Liao
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Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models
D Jiang, Z Wu, CY Hsieh, G Chen, B Liao, Z Wang, C Shen, D Cao, J Wu, ...
Journal of cheminformatics 13 (1), 1-23, 2021
Understanding and utilizing deep neural networks trained with noisy labels
P Chen, BB Liao, G Chen, S Zhang
International Conference on Machine Learning, 1062-1070, 2019
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning
Y Yang, J Hao, B Liao, K Shao, G Chen, W Liu, H Tang
arXiv preprint arXiv:2002.03939, 2020
InteractionGraphNet: A Novel and Efficient Deep Graph Representation Learning Framework for Accurate Protein–Ligand Interaction Predictions
D Jiang, CY Hsieh, Z Wu, Y Kang, J Wang, E Wang, B Liao, C Shen, L Xu, ...
Journal of medicinal chemistry 64 (24), 18209-18232, 2021
Multi-constraint molecular generation based on conditional transformer, knowledge distillation and reinforcement learning
J Wang, CY Hsieh, M Wang, X Wang, Z Wu, D Jiang, B Liao, X Zhang, ...
Nature Machine Intelligence 3 (10), 914-922, 2021
Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks
G Chen, P Chen, Y Shi, CY Hsieh, B Liao, S Zhang
arXiv preprint arXiv:1905.05928, 2019
RetroPrime: A Diverse, Plausible and Transformer-based Method for Single-Step Retrosynthesis Predictions
X Wang, Y Li, J Qiu, G Chen, H Liu, B Liao, CY Hsieh, X Yao
Chemical Engineering Journal, 129845, 2021
Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models
G Chen, P Chen, CY Hsieh, CK Lee, B Liao, R Liao, W Liu, J Qiu, Q Sun, ...
arXiv preprint arXiv:1906.09427, 2019
Strong Banach property (T) for simple algebraic groups of higher rank
B Liao
Journal of Topology and Analysis 6 (01), 75-105, 2014
Hyperbolic relational graph convolution networks plus: a simple but highly efficient QSAR-modeling method
Z Wu, D Jiang, CY Hsieh, G Chen, B Liao, D Cao, T Hou
Briefings in Bioinformatics 22 (5), bbab112, 2021
Balancing between accuracy and fairness for interactive recommendation with reinforcement learning
W Liu, F Liu, R Tang, B Liao, G Chen, PA Heng
Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia …, 2020
Retroformer: Pushing the Limits of End-to-end Retrosynthesis Transformer
Y Wan, CY Hsieh, B Liao, S Zhang
International Conference on Machine Learning, 22475-22490, 2022
Noncommutative maximal ergodic inequalities associated with doubling conditions
G Hong, B Liao, S Wang
Duke Mathematical Journal 170 (2), 205-246, 2021
Wasserstein Collaborative Filtering for Item Cold-start Recommendation
Y Meng, X Yan, W Liu, H Wu, J Cheng
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and …, 2020
K-theory of group Banach algebras and Banach property RD
B Liao, G Yu
arXiv preprint arXiv:1708.01982, 2017
TocoDecoy: a new approach to design unbiased datasets for training and benchmarking machine-learning scoring functions
X Zhang, C Shen, B Liao, D Jiang, J Wang, Z Wu, H Du, T Wang, W Huo, ...
Journal of Medicinal Chemistry 65 (11), 7918-7932, 2022
ChemistGA: A Chemical Synthesizable Accessible Molecular Generation Algorithm for Real-World Drug Discovery
J Wang, X Wang, H Sun, M Wang, Y Zeng, D Jiang, Z Wu, Z Liu, B Liao, ...
Journal of Medicinal Chemistry 65 (18), 12482-12496, 2022
A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices
J Qiu, C Wang, B Liao, R Peng, J Tang
Advances in Neural Information Processing Systems 33, 2020
ODBO: Bayesian optimization with search space prescreening for directed protein evolution
L Cheng, Z Yang, B Liao, C Hsieh, S Zhang
arXiv preprint arXiv:2205.09548, 2022
Mitigating Contradictions in Dialogue Based on Contrastive Learning
W Li, J Kong, B Liao, Y Cai
Findings of the Association for Computational Linguistics: ACL 2022, 2781-2788, 2022
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