Zhihan Zhou

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 9

Top Topics

Reinforcement Learning

Top Venues

Publications

Zhihan Zhou, Qixiang Fang, Leonardo Neves, Francesco Barbieri, Yozen Liu, Han Liu, Maarten W. Bos, Ron Dotsch
USE: Dynamic User Modeling with Stateful Sequence Models. CoRR (2024)
Zhihan Zhou, Weimin Wu, Harrison Ho, Jiayi Wang, Lizhen Shi, Ramana V. Davuluri, Zhong Wang, Han Liu
DNABERT-S: Learning Species-Aware DNA Embedding with Genome Foundation Models. CoRR (2024)
Zhihan Zhou, Yanrong Ji, Weijian Li, Pratik Dutta, Ramana V. Davuluri, Han Liu
DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genomes. ICLR (2024)
Qixiang Fang, Zhihan Zhou, Francesco Barbieri, Yozen Liu, Leonardo Neves, Dong Nguyen, Daniel L. Oberski, Maarten W. Bos, Ron Dotsch
General-Purpose User Modeling with Behavioral Logs: A Snapchat Case Study. SIGIR (2024)
Zhihan Zhou, Yanrong Ji, Weijian Li, Pratik Dutta, Ramana V. Davuluri, Han Liu
DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome. CoRR (2023)
Guanlin Liu, Zhihan Zhou, Han Liu, Lifeng Lai
Efficient Action Robust Reinforcement Learning with Probabilistic Policy Execution Uncertainty. CoRR (2023)
Zhihan Zhou, Dejiao Zhang, Wei Xiao, Nicholas Dingwall, Xiaofei Ma, Andrew O. Arnold, Bing Xiang
Learning Dialogue Representations from Consecutive Utterances. CoRR (2022)
Chunyu Ma, Zhihan Zhou, Han Liu, David Koslicki
Predicting Drug Repurposing Candidates and Their Mechanisms from A Biomedical Knowledge Graph. CoRR (2022)
Zhihan Zhou, Dejiao Zhang, Wei Xiao, Nicholas Dingwall, Xiaofei Ma, Andrew O. Arnold, Bing Xiang
Learning Dialogue Representations from Consecutive Utterances. NAACL-HLT (2022)