Ben Liao - RankMe

14 papers A* 3A 1Journal 8Unranked 2

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