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ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein Evolution


May 20, 2022
Lixue Cheng, Ziyi Yang, Benben Liao, Changyu Hsieh, Shengyu Zhang

* 25 pages, 11 figures 

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Retroformer: Pushing the Limits of Interpretable End-to-end Retrosynthesis Transformer


Jan 29, 2022
Yue Wan, Benben Liao, Chang-Yu Hsieh, Shengyu Zhang


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Wasserstein Collaborative Filtering for Item Cold-start Recommendation


Sep 10, 2019
Yitong Meng, Guangyong Chen, Benben Liao, Jun Guo, Weiwen Liu


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PMD: A New User Distance for Recommender Systems


Sep 10, 2019
Yitong Meng, Weiwen Liu, Benben Liao, Jun Guo, Guangyong Chen


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Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models


Jun 22, 2019
Guangyong Chen, Pengfei Chen, Chang-Yu Hsieh, Chee-Kong Lee, Benben Liao, Renjie Liao, Weiwen Liu, Jiezhong Qiu, Qiming Sun, Jie Tang, Richard Zemel, Shengyu Zhang

* Authors are listed in alphabetical order 

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A Meta Approach to Defend Noisy Labels by the Manifold Regularizer PSDR


Jun 13, 2019
Pengfei Chen, Benben Liao, Guangyong Chen, Shengyu Zhang

* Correspondence to: Guangyong Chen  

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Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric


Jun 06, 2019
Yujun Shi, Benben Liao, Guangyong Chen, Yun Liu, Ming-Ming Cheng, Jiashi Feng


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Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks


May 15, 2019
Guangyong Chen, Pengfei Chen, Yujun Shi, Chang-Yu Hsieh, Benben Liao, Shengyu Zhang

* Correspondence to:Benben Liao  

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Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels


May 13, 2019
Pengfei Chen, Benben Liao, Guangyong Chen, Shengyu Zhang

* Correspondence to: Guangyong Chen  

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