Lanqing Li
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
6
Active years
2021–2025
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCV | ChemMiner: A Large Language Model Agent System for Chemical Literature Data Mining. | Kexin Chen, Yuyang Du, Junyou Li, Hanqun Cao, Menghao Guo, Xilin Dang, Lanqing Li, Jiezhong Qiu, Guangyong Chen, Pheng-Ann Heng |
| 2025 | ICLR | Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning. | Hai Zhang, Boyuan Zheng, Tianying Ji, Jinhang Liu, Anqi Guo, Junqiao Zhao, Lanqing Li |
| 2023 | AAAI | ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification. | Liang Zeng, Lanqing Li, Ziqi Gao, Peilin Zhao, Jian Li |
| 2023 | AAAI | Handling Missing Data via Max-Entropy Regularized Graph Autoencoder. | Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Lanqing Li, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li |
| 2023 | AAAI | DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations. | 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 | CVPR | On the Pitfall of Mixup for Uncertainty Calibration. | Deng-Bao Wang, Lanqing Li, Peilin Zhao, Pheng-Ann Heng, Min-Ling Zhang |
| 2023 | CVPR | Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition. | Zhipeng Zhou, Lanqing Li, Peilin Zhao, Pheng-Ann Heng, Wei Gong |
| 2022 | AAAI | iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control. | Xiaoyan Cao, Yao Yao, Lanqing Li, Wanpeng Zhang, Zhicheng An, Zhong Zhang, Li Xiao, Shihui Guo, Xiaoyu Cao, Meihong Wu, Dijun Luo |
| 2022 | ICML | Local Augmentation for Graph Neural Networks. | Songtao Liu, Rex Ying, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu |
| 2022 | SIGIR | Value Penalized Q-Learning for Recommender Systems. | Chengqian Gao, Ke Xu, Kuangqi Zhou, Lanqing Li, Xueqian Wang, Bo Yuan, Peilin Zhao |
| 2021 | ICLR | FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization. | Lanqing Li, Rui Yang, Dijun Luo |