Yuan, Jian

8 publications

NeurIPS 2025 LLM-Explorer: A Plug-in Reinforcement Learning Policy Exploration Enhancement Driven by Large Language Models Qianyue Hao, Yiwen Song, Qingmin Liao, Jian Yuan, Yong Li

IJCAI 2025 OpenCarbon: A Contrastive Learning-Based Cross-Modality Neural Approach for High-Resolution Carbon Emission Prediction Using Open Data Jinwei Zeng, Yu Liu, Guozhen Zhang, Jingtao Ding, Yuming Lin, Jian Yuan, Yong Li

IJCAI 2025 TreeKV: Smooth Key-Value Cache Compression with Tree Structures Ziwei He, Jian Yuan, Haoli Bai, Jingwen Leng, Bo Jiang

AAAI 2024 Estimating On-Road Transportation Carbon Emissions from Open Data of Road Network and Origin-Destination Flow Data Jinwei Zeng, Yu Liu, Jingtao Ding, Jian Yuan, Yong Li

NeurIPS 2024 HLM-Cite: Hybrid Language Model Workflow for Text-Based Scientific Citation Prediction Qianyue Hao, Jingyang Fan, Fengli Xu, Jian Yuan, Yong Li

NeurIPS 2024 ODGEN: Domain-Specific Object Detection Data Generation with Diffusion Models Jingyuan Zhu, Shiyu Li, Yuxuan Liu, Jian Yuan, Ping Huang, Jiulong Shan, Huimin Ma

IJCAI 2023 Prediction with Incomplete Data Under Agnostic Mask Distribution Shift Yichen Zhu, Jian Yuan, Bo Jiang, Tao Lin, Haiming Jin, Xinbing Wang, Chenghu Zhou

ICML 2022 Supervised Off-Policy Ranking Yue Jin, Yue Zhang, Tao Qin, Xudong Zhang, Jian Yuan, Houqiang Li, Tie-Yan Liu