Lanqing Li - RankMe

40 papers A* 13Journal 25Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Design and research of IIoT intelligent automatic production line security monitoring system based on digital twin. Int. J. Comput. Appl. Technol. Mengjia Lian, Lanqing Li, Shiyu Wang, Chunxiao Wang, Mingshi Li
2026	J	`jnl`	SaDiT: Efficient Protein Backbone Design via Latent Structural Tokenization and Diffusion Transformers. CoRR Shentong Mo, Lanqing Li
2025	J	`jnl`	Boosting RL-Based Visual Reasoning with Selective Adversarial Entropy Intervention. CoRR Yang Yu, Zhuangzhuang Chen, Siqi Wang, Lanqing Li, Xiaomeng Li
2025	—	`conf`	ChemMiner: A Large Language Model Agent System for Chemical Literature Data Mining. ICCVW Kexin Chen, Yuyang Du, Junyou Li, Hanqun Cao, Menghao Guo, Xilin Dang, Lanqing Li, Jiezhong Qiu, Guangyong Chen, Pheng-Ann Heng
2025	A*	`conf`	Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning. ICLR Hai Zhang, Boyuan Zheng, Tianying Ji, Jinhang Liu, Anqi Guo, Junqiao Zhao, Lanqing Li
2025	J	`jnl`	Video visualisation of classroom talk in a pre-service teacher-training programme: Design and implementation. Educ. Inf. Technol. Chin-Hsi Lin, Gaowei Chen, Lanfang Sun, Lanqing Li, Sau Yan Hui, Miao-ju Louisa Yen
2024	J	`jnl`	An Autonomous Large Language Model Agent for Chemical Literature Data Mining. CoRR Kexin Chen, Hanqun Cao, Junyou Li, Yuyang Du, Menghao Guo, Xin Zeng, Lanqing Li, Jiezhong Qiu, Pheng-Ann Heng, Guangyong Chen
2024	J	`jnl`	Scrutinize What We Ignore: Reining Task Representation Shift In Context-Based Offline Meta Reinforcement Learning. CoRR Hai Zhang, Boyuan Zheng, Anqi Guo, Tianying Ji, Pheng-Ann Heng, Junqiao Zhao, Lanqing Li
2024	J	`jnl`	Solving the non-submodular network collapse problems via Decision Transformer. Neural Networks Kaili Ma, Han Yang, Shanchao Yang, Kangfei Zhao, Lanqing Li, Yongqiang Chen, Junzhou Huang, James Cheng, Yu Rong
2024	A*	`conf`	Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning. NeurIPS Lanqing Li, Hai Zhang, Xinyu Zhang, Shatong Zhu, Yang Yu, Junqiao Zhao, Pheng-Ann Heng
2024	J	`jnl`	Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning. CoRR Lanqing Li, Hai Zhang, Xinyu Zhang, Shatong Zhu, Junqiao Zhao, Pheng-Ann Heng
2023	A*	`conf`	Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition. CVPR Zhipeng Zhou, Lanqing Li, Peilin Zhao, Pheng-Ann Heng, Wei Gong
2023	J	`jnl`	Deploying Offline Reinforcement Learning with Human Feedback. CoRR Ziniu Li, Ke Xu, Liu Liu, Lanqing Li, Deheng Ye, Peilin Zhao
2023	A*	`conf`	DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations. AAAI 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
2023	J	`jnl`	Dynamics Adapted Imitation Learning. Trans. Mach. Learn. Res. Zixuan Liu, Liu Liu, Bingzhe Wu, Lanqing Li, Xueqian Wang, Bo Yuan, Peilin Zhao
2023	—	`conf`	Energy Saving Evaluation Method for Energy Storage Technologies Based on the Intimate Data Method of Machine Learning. PCCNT Yulin Zhao, Chong Sun, Lanqing Li, Yifeng Li, Hang Zhou
2023	A*	`conf`	Handling Missing Data via Max-Entropy Regularized Graph Autoencoder. AAAI Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Lanqing Li, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li
2023	A*	`conf`	ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification. AAAI Liang Zeng, Lanqing Li, Ziqi Gao, Peilin Zhao, Jian Li
2023	J	`jnl`	MolKD: Distilling Cross-Modal Knowledge in Chemical Reactions for Molecular Property Prediction. CoRR Liang Zeng, Lanqing Li, Jian Li
2023	A*	`conf`	On the Pitfall of Mixup for Uncertainty Calibration. CVPR Deng-Bao Wang, Lanqing Li, Peilin Zhao, Pheng-Ann Heng, Min-Ling Zhang
2023	J	`jnl`	Reweighted Mixup for Subpopulation Shift. CoRR Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Qinghua Hu, Bingzhe Wu, Changqing Zhang, Jianhua Yao
2023	J	`jnl`	Towards an Automatic AI Agent for Reaction Condition Recommendation in Chemical Synthesis. CoRR Kexin Chen, Junyou Li, Kunyi Wang, Yuyang Du, Jiahui Yu, Jiamin Lu, Lanqing Li, Jiezhong Qiu, Qun Fang, Pheng-Ann Heng, Guangyong Chen
2022	J	`jnl`	DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations. CoRR 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
2022	J	`jnl`	Handling Missing Data via Max-Entropy Regularized Graph Autoencoder. CoRR Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Tingyang Xu, Peilin Zhao, Lanqing Li, Fugee Tsung, Jia Li
2022	J	`jnl`	ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery. CoRR 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
2022	J	`jnl`	ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification. CoRR Liang Zeng, Lanqing Li, Ziqi Gao, Peilin Zhao, Jian Li
2022	A*	`conf`	Local Augmentation for Graph Neural Networks. ICML Songtao Liu, Rex Ying, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu
2022	J	`jnl`	Robust Imitation Learning from Corrupted Demonstrations. CoRR Liu Liu, Ziyang Tang, Lanqing Li, Dijun Luo
2022	A*	`conf`	UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup. NeurIPS Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao
2022	J	`jnl`	UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup. CoRR Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao
2022	A*	`conf`	Value Penalized Q-Learning for Recommender Systems. SIGIR Chengqian Gao, Ke Xu, Kuangqi Zhou, Lanqing Li, Xueqian Wang, Bo Yuan, Peilin Zhao
2022	A*	`conf`	iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control. AAAI Xiaoyan Cao, Yao Yao, Lanqing Li, Wanpeng Zhang, Zhicheng An, Zhong Zhang, Li Xiao, Shihui Guo, Xiaoyu Cao, Meihong Wu, Dijun Luo
2021	A*	`conf`	A Simulator-based Planning Framework for Optimizing Autonomous Greenhouse Control Strategy. ICAPS Zhicheng An, Xiaoyan Cao, Yao Yao, Wanpeng Zhang, Lanqing Li, Yue Wang, Shihui Guo, Dijun Luo
2021	J	`jnl`	Bias-reduced multi-step hindsight experience replay. CoRR Rui Yang, Jiafei Lyu, Yu Yang, Jiangpeng Yan, Feng Luo, Dijun Luo, Lanqing Li, Xiu Li
2021	A*	`conf`	FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization. ICLR Lanqing Li, Rui Yang, Dijun Luo
2021	J	`jnl`	IGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control. CoRR Xiaoyan Cao, Yao Yao, Lanqing Li, Wanpeng Zhang, Zhicheng An, Zhong Zhang, Shihui Guo, Li Xiao, Xiaoyu Cao, Dijun Luo
2021	J	`jnl`	Improved Context-Based Offline Meta-RL with Attention and Contrastive Learning. CoRR Lanqing Li, Yuanhao Huang, Dijun Luo
2021	J	`jnl`	Local Augmentation for Graph Neural Networks. CoRR Songtao Liu, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu
2021	J	`jnl`	Zeus: Improving Resource Efficiency via Workload Colocation for Massive Kubernetes Clusters. IEEE Access Xiaolong Zhang, Lanqing Li, Yuan Wang, E. Chen, Lidan Shou
2020	J	`jnl`	Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization. CoRR Lanqing Li, Rui Yang, Dijun Luo