Li, Nan

27 publications

IJCAI 2025 2D Gaussian Splatting for Outdoor Scene Decomposition and Relighting Wei Feng, Kangrui Ye, Qi Zhang, Qian Zhang, Nan Li

NeurIPS 2025 Efficient and Generalizable Mixed-Precision Quantization via Topological Entropy Nan Li, Yonghui Su, Lianbo Ma

ICCV 2025 SU-RGS: Relightable 3D Gaussian Splatting from Sparse Views Under Unconstrained Illuminations Qi Zhang, Chi Huang, Qian Zhang, Nan Li, Wei Feng

IJCAI 2025 Transferable Relativistic Predictor: Mitigating Cross-Task Cold-Start Issue in NAS Nan Li, Bing Xue, Lianbo Ma, Mengjie Zhang

MLHC 2024 Selective Fine-Tuning on LLM-Labeled Data May Reduce Reliance on Human Annotation: A Case Study Using Schedule-of-Event Table Detection Bhawesh Kumar, Jonathan Amar, Eric Yang, Nan Li, Yugang Jia

AAAI 2023 LADA-Trans-NER: Adaptive Efficient Transformer for Chinese Named Entity Recognition Using Lexicon-Attention and Data-Augmentation Jiguo Liu, Chao Liu, Nan Li, Shihao Gao, Mingqi Liu, Dali Zhu

ICLR 2022 Neural Program Synthesis with Query Di Huang, Rui Zhang, Xing Hu, Xishan Zhang, Pengwei Jin, Nan Li, Zidong Du, Qi Guo, Yunji Chen

IJCAI 2021 IIAS: An Intelligent Insurance Assessment System Through Online Real-Time Conversation Analysis Mengdi Zhou, Shuang Peng, Minghui Yang, Nan Li, Hongbin Wang, Li Qiao, Haitao Mi, Zujie Wen, Teng Xu, Lei Liu

NeurIPSW 2021 On the Feasibility of Small-Data Learning in Simulation-Driven Engineering Tasks with Known Mechanisms and Effective Data Representations Haosu Zhou, Hamid Reza Attar, Yue Pan, Xuetao Li, Peter R N Childs, Nan Li

L4DC 2021 Safe Reinforcement Learning Using Robust Action Governor Yutong Li, Nan Li, H. Eric Tseng, Anouck Girard, Dimitar Filev, Ilya Kolmanovsky

IJCAI 2019 A Practical Semi-Parametric Contextual Bandit Yi Peng, Miao Xie, Jiahao Liu, Xuying Meng, Nan Li, Cheng Yang, Tao Yao, Rong Jin

IJCAI 2019 Hybrid Item-Item Recommendation via Semi-Parametric Embedding Peng Hu, Rong Du, Yao Hu, Nan Li

AAAI 2019 Robust Online Matching with User Arrival Distribution Drift Yu-Hang Zhou, Chen Liang, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin

AAAI 2019 Semi-Parametric Sampling for Stochastic Bandits with Many Arms Mingdong Ou, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin

IJCAI 2018 Multinomial Logit Bandit with Linear Utility Functions Mingdong Ou, Nan Li, Shenghuo Zhu, Rong Jin

AAAI 2018 Tau-FPL: Tolerance-Constrained Learning in Linear Time Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha

IJCAI 2017 Affinity Learning for Mixed Data Clustering Nan Li, Longin Jan Latecki

IJCAI 2017 Open Category Classification by Adversarial Sample Generation Yang Yu, Wei-Yang Qu, Nan Li, Zimin Guo

IJCAI 2017 Restart and Random Walk in Local Search for Maximum Vertex Weight Cliques with Evaluations in Clustering Aggregation Yi Fan, Nan Li, Chengqian Li, Zongjie Ma, Longin Jan Latecki, Kaile Su

IJCAI 2016 Transductive Optimization of Top K Precision Li-Ping Liu, Thomas G. Dietterich, Nan Li, Zhi-Hua Zhou

NeurIPS 2014 Top Rank Optimization in Linear Time Nan Li, Rong Jin, Zhi-Hua Zhou

NeurIPS 2012 Clustering Aggregation as Maximum-Weight Independent Set Nan Li, Longin J. Latecki

ECML-PKDD 2012 Diversity Regularized Ensemble Pruning Nan Li, Yang Yu, Zhi-Hua Zhou

ECML-PKDD 2012 Learning to Perceive Two-Dimensional Displays Using Probabilistic Grammars Nan Li, William W. Cohen, Kenneth R. Koedinger

AAAI 2010 Integrating Transfer Learning in Synthetic Student Nan Li, William W. Cohen, Kenneth R. Koedinger

IJCAI 2009 Learning Probabilistic Hierarchical Task Networks to Capture User Preferences Nan Li, Subbarao Kambhampati, Sung Wook Yoon

CVPR 2004 Audio-Visual Based Emotion Recognition - A New Approach Mingli Song, Jiajun Bu, Chun Chen, Nan Li