B. Liao

发表

Wasserstein Collaborative Filtering for Item Cold-start Recommendation

Weiwen Liu, Yitong Meng, Guangyong Chen, 2019, arXiv.org.

Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models

Chang-Yu Hsieh, Guangyong Chen, Tingjun Hou, 2020, Journal of Cheminformatics.

RetroPrime: A Chemistry-Inspired and Transformer-based Method for Retrosynthesis Predictions

J. Qiu, Y. Li, H. Liu, 2020 .

Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning pdf

Jianye Hao, Yaodong Yang, Wulong Liu, 2020, ArXiv.

Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels

Pengfei Chen, Guangyong Chen, Shengyu Zhang, 2019, ICML.

RetroPrime: A Diverse, Plausible and Transformer-based Method for Single-Step Retrosynthesis Predictions

Huanxiang Liu, Jiezhong Qiu, Benben Liao, 2021 .

Multi-constraint molecular generation based on conditional transformer, knowledge distillation and reinforcement learning

Tingjun Hou, Benben Liao, Jike Wang, 2021, Nature Machine Intelligence.

Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models pdf

Pengfei Chen, Shengyu Zhang, Renjie Liao, 2019, ArXiv.

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

Pengfei Chen, Chang-Yu Hsieh, Guangyong Chen, 2019, ArXiv.

Hyperbolic relational graph convolution networks plus: a simple but highly efficient QSAR-modeling method

Tingjun Hou, Zhenxing Wu, Chang-Yu Hsieh, 2021, Briefings Bioinform..

Deep-BGCpred: A unified deep learning genome-mining framework for biosynthetic gene cluster prediction

Shengyu Zhang, B. Liao, Ziyi Yang, 2021, bioRxiv.

Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning pdf

Guangyong Chen, Ruiming Tang, Pheng Ann Heng, 2021, ArXiv.

Wasserstein Collaborative Filtering for Item Cold-start Recommendation

Jun Guo, Weiwen Liu, Guangyong Chen, 2019, ArXiv.

Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning

Feng Liu, Pheng-Ann Heng, Weiwen Liu, 2020, PAKDD.

PMD: An Optimal Transportation-Based User Distance for Recommender Systems

Xiao Yan, Weiwen Liu, Guangyong Chen, 2019, ECIR.

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

Pengfei Chen, Guangyong Chen, Shengyu Zhang, 2019, ArXiv.