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2020 – today
- 2024
[c5]Yuhao Wang, Qiang Zhang, Ming Qin, Xiang Zhuang, Xiaotong Li, Zhichen Gong, Zeyuan Wang, Yu Zhao, Jianhua Yao, Keyan Ding, Huajun Chen:
Knowledge-aware Reinforced Language Models for Protein Directed Evolution. ICML 2024- 2023
- [c4]Zeyuan Wang, Qiang Zhang, Shuangwei Hu, Haoran Yu, Xurui Jin, Zhichen Gong, Huajun Chen:
Multi-level Protein Structure Pre-training via Prompt Learning. ICLR 2023
2010 – 2019
- 2019
- [j2]Zhichen Gong
, Huanhuan Chen, Bo Yuan, Xin Yao:
Multiobjective Learning in the Model Space for Time Series Classification. IEEE Trans. Cybern. 49(3): 918-932 (2019) - [c3]Zheng Tian, Ying Wen, Zhichen Gong, Faiz Punakkath, Shihao Zou, Jun Wang:
A Regularized Opponent Model with Maximum Entropy Objective. IJCAI 2019: 602-608 - [i3]Minne Li, Zhiwei (Tony) Qin, Yan Jiao, Yaodong Yang, Zhichen Gong, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye:
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning. CoRR abs/1901.11454 (2019) - [i2]Zheng Tian, Ying Wen, Zhichen Gong, Faiz Punakkath, Shihao Zou, Jun Wang:
A Regularized Opponent Model with Maximum Entropy Objective. CoRR abs/1905.08087 (2019) - 2018
- [j1]Zhichen Gong, Huanhuan Chen:
Sequential data classification by dynamic state warping. Knowl. Inf. Syst. 57(3): 545-570 (2018) - 2017
- [c2]Dandan Yang, Huanhuan Chen, Yinlong Song, Zhichen Gong:
Granger Causality for Multivariate Time Series Classification. ICBK 2017: 103-110 - [i1]Zhichen Gong, Huanhuan Chen:
Dynamic State Warping. CoRR abs/1703.01141 (2017) - 2016
- [c1]Zhichen Gong, Huanhuan Chen:
Model-Based Oversampling for Imbalanced Sequence Classification. CIKM 2016: 1009-1018
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