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Ben Liao
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2020 – today
- 2023
- [c6]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: 5002-5010 - [i6]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 abs/2305.08457 (2023) - 2022
- [c5]Weizhao Li, Junsheng Kong, Ben Liao, Yi Cai:
Mitigating Contradictions in Dialogue Based on Contrastive Learning. ACL (Findings) 2022: 2781-2788 - [c4]Yue Wan, Chang-Yu Hsieh, Ben Liao, Shengyu Zhang:
Retroformer: Pushing the Limits of End-to-end Retrosynthesis Transformer. ICML 2022: 22475-22490 - 2021
- [j2]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) - [j1]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): 12 (2021) - [c3]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: 873-882 - [i5]Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng:
Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning. CoRR abs/2106.13386 (2021) - [i4]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 abs/2109.07084 (2021) - [i3]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 abs/2112.01442 (2021) - 2020
- [c2]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 - [c1]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: 155-167 - [i2]Yaodong Yang, Jianye Hao, Ben Liao, Kun Shao, Guangyong Chen, Wulong Liu, Hongyao Tang:
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning. CoRR abs/2002.03939 (2020) - [i1]Jiezhong Qiu, Chi Wang, Ben Liao, Richard Peng, Jie Tang:
Concentration Bounds for Co-occurrence Matrices of Markov Chains. CoRR abs/2008.02464 (2020)
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