Ben Liao

According to our database, Ben Liao authored at least 12 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation.

Yiheng Zhu, Zhenqiu Ouyang, Ben Liao, Jialu Wu, Yixuan Wu, Chang-Yu Hsieh, Tingjun Hou, Jian Wu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

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

Yue Wan, Chang-Yu Hsieh, Ben Liao, Shengyu Zhang

Proceedings of the International Conference on Machine Learning, 2022

Mitigating Contradictions in Dialogue Based on Contrastive Learning.

Weizhao Li, Junsheng Kong, Ben Liao, Yi Cai

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

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

Dejun Jiang, Zhenxing Wu, Chang-Yu Hsieh, Guangyong Chen, Ben Liao, Zhe Wang, Chao Shen, Dong-Sheng Cao, Jian Wu, Tingjun Hou

J. Cheminformatics, 2021

Learning Large-scale Network Embedding from Representative Subgraph.

Junsheng Kong, Weizhao Li, Ben Liao, Jiezhong Qiu, Chang-Yu Hsieh, Yi Cai, Jinhui Zhu, Shengyu Zhang

CoRR, 2021

Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning.

Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng

CoRR, 2021

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

Zhenxing Wu, Dejun Jiang, Chang-Yu Hsieh, Guangyong Chen, Ben Liao, Dong-Sheng Cao, Tingjun Hou

Briefings Bioinform., 2021

Fast Extraction of Word Embedding from Q-contexts.

Junsheng Kong, Weizhao Li, Zeyi Liu, Ben Liao, Jiezhong Qiu, Chang-Yu Hsieh, Yi Cai, Shengyu Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Concentration Bounds for Co-occurrence Matrices of Markov Chains.

Jiezhong Qiu, Chi Wang, Ben Liao, Richard Peng, Jie Tang

CoRR, 2020

Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning.

Yaodong Yang, Jianye Hao, Ben Liao, Kun Shao, Guangyong Chen, Wulong Liu, Hongyao Tang

CoRR, 2020

Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning.

Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices.

Jiezhong Qiu, Chi Wang, Ben Liao, Richard Peng, Jie Tang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020