Junyou Li

According to our database, Junyou Li authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Nuance Matters: Probing Epistemic Consistency in Causal Reasoning.

Shaobo Cui, Junyou Li, Luca Mouchel, Yiyang Feng, Boi Faltings

CoRR, 2024

Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models.

Fuxiang Zhang, Junyou Li, Yi-Chen Li, Zongzhang Zhang, Yang Yu, Deheng Ye

CoRR, 2024

An Autonomous Large Language Model Agent for Chemical Literature Data Mining.

Kexin Chen, Hanqun Cao, Junyou Li, Yuyang Du, Menghao Guo, Xin Zeng, Lanqing Li, Jiezhong Qiu, Pheng-Ann Heng, Guangyong Chen

CoRR, 2024

More Agents Is All You Need.

Junyou Li, Qin Zhang, Yangbin Yu, Qiang Fu, Deheng Ye

CoRR, 2024

Affordable Generative Agents.

Yangbin Yu, Qin Zhang, Junyou Li, Qiang Fu, Deheng Ye

CoRR, 2024

2023

MetaRF: attention-based random forest for reaction yield prediction with a few trails.

Kexin Chen, Guangyong Chen, Junyou Li, Yuansheng Huang, Ercheng Wang, Tingjun Hou, Pheng-Ann Heng

J. Cheminformatics, December, 2023

Towards an Automatic AI Agent for Reaction Condition Recommendation in Chemical Synthesis.

Kexin Chen, Junyou Li, Kunyi Wang, Yuyang Du, Jiahui Yu, Jiamin Lu, Lanqing Li, Jiezhong Qiu, Qun Fang, Pheng-Ann Heng, Guangyong Chen

CoRR, 2023

2022

Pretraining in Deep Reinforcement Learning: A Survey.

Zhihui Xie, Zichuan Lin, Junyou Li, Shuai Li, Deheng Ye

CoRR, 2022

Revisiting Discrete Soft Actor-Critic.

Haibin Zhou, Zichuan Lin, Junyou Li, Deheng Ye, Qiang Fu, Wei Yang

CoRR, 2022

MetaRF: Differentiable Random Forest for Reaction Yield Prediction with a Few Trails.

Kexin Chen, Guangyong Chen, Junyou Li, Yuansheng Huang, Pheng-Ann Heng

CoRR, 2022

JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning.

Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned.

Anssi Kanervisto, Stephanie Milani, Karolis Ramanauskas, Nicholay Topin, Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang, Weijun Hong, Zhongyue Huang, Haicheng Chen, Guangjun Zeng, Yue Lin, Vincent Micheli, Eloi Alonso, François Fleuret, Alexander Nikulin, Yury Belousov, Oleg Svidchenko, Aleksei Shpilman

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

2020

Neural Entity Summarization with Joint Encoding and Weak Supervision.

Junyou Li, Gong Cheng, Qingxia Liu, Wen Zhang, Evgeny Kharlamov, Kalpa Gunaratna, Huajun Chen

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Entity Summarization with User Feedback.

Qingxia Liu, Yue Chen, Gong Cheng, Evgeny Kharlamov, Junyou Li, Yuzhong Qu

Proceedings of the Semantic Web - 17th International Conference, 2020