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Journal Articles
- 2021
[j1]Jike Wang, Chang-Yu Hsieh, Mingyang Wang, Xiaorui Wang, Zhenxing Wu, Dejun Jiang, Benben Liao, Xujun Zhang, Bo Yang, Qiaojun He, Dongsheng Cao
, Xi Chen, Tingjun Hou:
Multi-constraint molecular generation based on conditional transformer, knowledge distillation and reinforcement learning. Nat. Mach. Intell. 3(10): 914-922 (2021)
Conference and Workshop Papers
- 2020
- [c2]Yitong Meng, Xinyan Dai, Xiao Yan, James Cheng, Weiwen Liu, Jun Guo, Benben Liao, Guangyong Chen:
PMD: An Optimal Transportation-Based User Distance for Recommender Systems. ECIR (2) 2020: 272-280 - 2019
- [c1]Pengfei Chen, Benben Liao, Guangyong Chen, Shengyu Zhang:
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels. ICML 2019: 1062-1070
Informal and Other Publications
- 2022
- [i9]Yue Wan, Benben Liao, Chang-Yu Hsieh, Shengyu Zhang:
Retroformer: Pushing the Limits of Interpretable End-to-end Retrosynthesis Transformer. CoRR abs/2201.12475 (2022) - [i8]Lixue Cheng, Ziyi Yang, Benben Liao, Chang-Yu Hsieh, Shengyu Zhang:
ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein Evolution. CoRR abs/2205.09548 (2022) - 2019
- [i7]Pengfei Chen, Benben Liao, Guangyong Chen, Shengyu Zhang:
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels. CoRR abs/1905.05040 (2019) - [i6]Guangyong Chen, Pengfei Chen, Yujun Shi, Chang-Yu Hsieh, Benben Liao, Shengyu Zhang:
Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks. CoRR abs/1905.05928 (2019) - [i5]Yujun Shi, Benben Liao, Guangyong Chen, Yun Liu, Ming-Ming Cheng, Jiashi Feng:
Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric. CoRR abs/1906.02494 (2019) - [i4]Pengfei Chen, Benben Liao, Guangyong Chen, Shengyu Zhang:
A Meta Approach to Defend Noisy Labels by the Manifold Regularizer PSDR. CoRR abs/1906.05509 (2019) - [i3]Guangyong Chen, Pengfei Chen, Chang-Yu Hsieh, Chee-Kong Lee, Benben Liao, Renjie Liao, Weiwen Liu, Jiezhong Qiu, Qiming Sun, Jie Tang, Richard S. Zemel, Shengyu Zhang:
Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models. CoRR abs/1906.09427 (2019) - [i2]Yitong Meng, Weiwen Liu, Benben Liao, Jun Guo, Guangyong Chen:
PMD: A New User Distance for Recommender Systems. CoRR abs/1909.04239 (2019) - [i1]Yitong Meng, Guangyong Chen, Benben Liao, Jun Guo, Weiwen Liu:
Wasserstein Collaborative Filtering for Item Cold-start Recommendation. CoRR abs/1909.04266 (2019)
Coauthor Index
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