Lanqing Li

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 33

Top Topics

Chemical Reactions

Reinforcement Learning

Metric Learning

Top Venues

Publications

Kexin Chen, Hanqun Cao, Junyou Li, Yuyang Du, Menghao Guo, Xin Zeng, Lanqing Li, Jiezhong Qiu, Pheng-Ann Heng, Guangyong Chen
An Autonomous Large Language Model Agent for Chemical Literature Data Mining. CoRR (2024)
Hai Zhang, Boyuan Zheng, Anqi Guo, Tianying Ji, Pheng-Ann Heng, Junqiao Zhao, Lanqing Li
Scrutinize What We Ignore: Reining Task Representation Shift In Context-Based Offline Meta Reinforcement Learning. CoRR (2024)
Kaili Ma, Han Yang, Shanchao Yang, Kangfei Zhao, Lanqing Li, Yongqiang Chen, Junzhou Huang, James Cheng, Yu Rong
Solving the non-submodular network collapse problems via Decision Transformer. Neural Networks 176 (2024)
Lanqing Li, Hai Zhang, Xinyu Zhang, Shatong Zhu, Junqiao Zhao, Pheng-Ann Heng
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning. CoRR (2024)
Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Lanqing Li, Long-Kai Huang, Tingyang Xu, Yu Rong, Jie Ren, Ding Xue, Houtim Lai, Wei Liu, Junzhou Huang, Shuigeng Zhou, Ping Luo, Peilin Zhao, Yatao Bian
DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations. AAAI (2023)
Liang Zeng, Lanqing Li, Jian Li
MolKD: Distilling Cross-Modal Knowledge in Chemical Reactions for Molecular Property Prediction. CoRR (2023)
Yulin Zhao, Chong Sun, Lanqing Li, Yifeng Li, Hang Zhou
Energy Saving Evaluation Method for Energy Storage Technologies Based on the Intimate Data Method of Machine Learning. PCCNT (2023)
Zhipeng Zhou, Lanqing Li, Peilin Zhao, Pheng-Ann Heng, Wei Gong
Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition. CVPR (2023)
Kexin Chen, Junyou Li, Kunyi Wang, Yuyang Du, Jiahui Yu, Jiamin Lu, Guangyong Chen, Lanqing Li, Jiezhong Qiu, Qun Fang, Pheng-Ann Heng
Towards an Automatic AI Agent for Reaction Condition Recommendation in Chemical Synthesis. CoRR (2023)
Liang Zeng, Lanqing Li, Ziqi Gao, Peilin Zhao, Jian Li
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification. AAAI (2023)
Zixuan Liu, Liu Liu, Bingzhe Wu, Lanqing Li, Xueqian Wang, Bo Yuan, Peilin Zhao
Dynamics Adapted Imitation Learning. Trans. Mach. Learn. Res. 2023 (2023)
Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Qinghua Hu, Bingzhe Wu, Changqing Zhang, Jianhua Yao
Reweighted Mixup for Subpopulation Shift. CoRR (2023)
Ziniu Li, Ke Xu, Liu Liu, Lanqing Li, Deheng Ye, Peilin Zhao
Deploying Offline Reinforcement Learning with Human Feedback. CoRR (2023)
Deng-Bao Wang, Lanqing Li, Peilin Zhao, Pheng-Ann Heng, Min-Ling Zhang
On the Pitfall of Mixup for Uncertainty Calibration. CVPR (2023)
Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Lanqing Li, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder. AAAI (2023)
Xiaoyan Cao, Yao Yao, Lanqing Li, Wanpeng Zhang, Zhicheng An, Zhong Zhang, Li Xiao, Shihui Guo, Xiaoyu Cao, Meihong Wu, Dijun Luo
iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control. AAAI (2022)
Songtao Liu, Rex Ying, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu
Local Augmentation for Graph Neural Networks. ICML (2022)
Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup. CoRR (2022)
Liu Liu, Ziyang Tang, Lanqing Li, Dijun Luo
Robust Imitation Learning from Corrupted Demonstrations. CoRR (2022)
Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup. NeurIPS (2022)
Liang Zeng, Lanqing Li, Ziqi Gao, Peilin Zhao, Jian Li
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification. CoRR (2022)
Lanqing Li, Liang Zeng, Ziqi Gao, Shen Yuan, Yatao Bian, Bingzhe Wu, Hengtong Zhang, Chan Lu, Yang Yu, Wei Liu, Hongteng Xu, Jia Li, Peilin Zhao, Pheng-Ann Heng
ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery. CoRR (2022)
Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Long-Kai Huang, Tingyang Xu, Yu Rong, Lanqing Li, Jie Ren, Ding Xue, Houtim Lai, Shaoyong Xu, Jing Feng, Wei Liu, Ping Luo, Shuigeng Zhou, Junzhou Huang, Peilin Zhao, Yatao Bian
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations. CoRR (2022)
Chengqian Gao, Ke Xu, Kuangqi Zhou, Lanqing Li, Xueqian Wang, Bo Yuan, Peilin Zhao
Value Penalized Q-Learning for Recommender Systems. SIGIR (2022)
Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Tingyang Xu, Peilin Zhao, Lanqing Li, Fugee Tsung, Jia Li
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder. CoRR (2022)
Xiaolong Zhang, Lanqing Li, Yuan Wang, E. Chen, Lidan Shou
Zeus: Improving Resource Efficiency via Workload Colocation for Massive Kubernetes Clusters. IEEE Access 9 (2021)
Lanqing Li, Rui Yang, Dijun Luo
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization. ICLR (2021)
Xiaoyan Cao, Yao Yao, Lanqing Li, Wanpeng Zhang, Zhicheng An, Zhong Zhang, Shihui Guo, Li Xiao, Xiaoyu Cao, Dijun Luo
IGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control. CoRR (2021)
Lanqing Li, Yuanhao Huang, Dijun Luo
Improved Context-Based Offline Meta-RL with Attention and Contrastive Learning. CoRR (2021)
Zhicheng An, Xiaoyan Cao, Yao Yao, Wanpeng Zhang, Lanqing Li, Yue Wang, Shihui Guo, Dijun Luo
A Simulator-based Planning Framework for Optimizing Autonomous Greenhouse Control Strategy. ICAPS (2021)
Rui Yang, Jiafei Lyu, Yu Yang, Jiangpeng Yan, Feng Luo, Dijun Luo, Lanqing Li, Xiu Li
Bias-reduced multi-step hindsight experience replay. CoRR (2021)
Songtao Liu, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu
Local Augmentation for Graph Neural Networks. CoRR (2021)
Lanqing Li, Rui Yang, Dijun Luo
Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization. CoRR (2020)