Ben Liao

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 14

Top Topics

Bilingual Lexicon

Reinforcement Learning

Relational Graph

Top Venues

Briefings Bioinform.

Publications

Yiheng Zhu, Zhenqiu Ouyang, Ben Liao, Jialu Wu, Yixuan Wu, Chang-Yu Hsieh, Tingjun Hou, Jian Wu
MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation. IJCAI (2023)
Yiheng Zhu, Zhenqiu Ouyang, Ben Liao, Jialu Wu, Yixuan Wu, Chang-Yu Hsieh, Tingjun Hou, Jian Wu
MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation. CoRR (2023)
Yue Wan, Chang-Yu Hsieh, Ben Liao, Shengyu Zhang
Retroformer: Pushing the Limits of End-to-end Retrosynthesis Transformer. ICML (2022)
Weizhao Li, Junsheng Kong, Ben Liao, Yi Cai
Mitigating Contradictions in Dialogue Based on Contrastive Learning. ACL (Findings) (2022)
Zhenxing Wu, Dejun Jiang, Chang-Yu Hsieh, Guangyong Chen, Ben Liao, Dong-Sheng Cao, Tingjun Hou
Hyperbolic relational graph convolution networks plus: a simple but highly efficient QSAR-modeling method. Briefings Bioinform. 22 (5) (2021)
Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng
Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning. CoRR (2021)
Junsheng Kong, Weizhao Li, Ben Liao, Jiezhong Qiu, Chang-Yu Hsieh, Yi Cai, Jinhui Zhu, Shengyu Zhang
Learning Large-scale Network Embedding from Representative Subgraph. CoRR (2021)
Dejun Jiang, Zhenxing Wu, Chang-Yu Hsieh, Guangyong Chen, Ben Liao, Zhe Wang, Chao Shen, Dong-Sheng Cao, Jian Wu, Tingjun Hou
Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models. J. Cheminformatics 13 (1) (2021)
Junsheng Kong, Weizhao Li, Zeyi Liu, Ben Liao, Jiezhong Qiu, Chang-Yu Hsieh, Yi Cai, Shengyu Zhang
Fast Extraction of Word Embedding from Q-contexts. CIKM (2021)
Junsheng Kong, Weizhao Li, Zeyi Liu, Ben Liao, Jiezhong Qiu, Chang-Yu Hsieh, Yi Cai, Shengyu Zhang
Fast Extraction of Word Embedding from Q-contexts. CoRR (2021)
Jiezhong Qiu, Chi Wang, Ben Liao, Richard Peng, Jie Tang
A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices. NeurIPS (2020)
Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng
Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning. PAKDD (1) (2020)
Yaodong Yang, Jianye Hao, Ben Liao, Kun Shao, Guangyong Chen, Wulong Liu, Hongyao Tang
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning. CoRR (2020)
Jiezhong Qiu, Chi Wang, Ben Liao, Richard Peng, Jie Tang
Concentration Bounds for Co-occurrence Matrices of Markov Chains. CoRR (2020)