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Benben Liao

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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

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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

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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

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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

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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

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