Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels. - Pengfei Chen 003; Benben Liao; Guangyong Chen; Shengyu Zhang 002 (ICML, 2019)

Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks. - Guangyong Chen; Pengfei Chen 003; Yujun Shi; Chang-Yu Hsieh; Benben Liao; Shengyu Zhang 002 (CoRR, 2019)

Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric. - Yujun Shi; Benben Liao; Guangyong Chen; Yun Liu 011; Ming-Ming Cheng; Jiashi Feng (CoRR, 2019)

A Meta Approach to Defend Noisy Labels by the Manifold Regularizer PSDR. - Pengfei Chen 003; Benben Liao; Guangyong Chen; Shengyu Zhang 002 (CoRR, 2019)

Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models. - Guangyong Chen; Pengfei Chen 003; Chang-Yu Hsieh; Chee-Kong Lee; Benben Liao; Renjie Liao; Weiwen Liu; Jiezhong Qiu; Qiming Sun; Jie Tang 001; Richard S. Zemel; Shengyu Zhang 002 (CoRR, 2019)

PMD: A New User Distance for Recommender Systems. - Yitong Meng; Weiwen Liu; Benben Liao; Jun Guo 008; Guangyong Chen (CoRR, 2019)

Wasserstein Collaborative Filtering for Item Cold-start Recommendation. - Yitong Meng; Guangyong Chen; Benben Liao; Jun Guo 008; Weiwen Liu (CoRR, 2019)

PMD: An Optimal Transportation-Based User Distance for Recommender Systems. - Yitong Meng; Xinyan Dai; Xiao Yan 002; James Cheng; Weiwen Liu; Jun Guo 008; Benben Liao; Guangyong Chen (ECIR (2), 2020)

Multi-constraint molecular generation based on conditional transformer, knowledge distillation and reinforcement learning. - Jike Wang; Chang-Yu Hsieh; Mingyang Wang 004; Xiaorui Wang; Zhenxing Wu; Dejun Jiang 002; Benben Liao; Xujun Zhang; Bo Yang 023; Qiaojun He; Dongsheng Cao 001; Xi Chen; et al. (Nat. Mach. Intell., 2021)

Retroformer: Pushing the Limits of Interpretable End-to-end Retrosynthesis Transformer. - Yue Wan; Benben Liao; Chang-Yu Hsieh; Shengyu Zhang 002 (CoRR, 2022)

ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein Evolution. - Lixue Cheng; Ziyi Yang; Benben Liao; Chang-Yu Hsieh; Shengyu Zhang 002 (CoRR, 2022)