Li, Huan

32 publications

NeurIPS 2025 CoIDO: Efficient Data Selection for Visual Instruction Tuning via Coupled Importance-Diversity Optimization Yichen Yan, Ming Zhong, Qi Zhu, Xiaoling Gu, Jinpeng Chen, Huan Li

AAAI 2025 CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation Hongwei Yuan, Xiu Tang, Ke Chen, Lidan Shou, Gang Chen, Huan Li

NeurIPS 2025 Not All Data Are Good Labels: On the Self-Supervised Labeling for Time Series Forecasting Yuxuan Yang, Dalin Zhang, Yuxuan Liang, Hua Lu, Gang Chen, Huan Li

NeurIPS 2025 On the $O(\frac{\sqrt{d}}{K^{1/4}})$ Convergence Rate of AdamW Measured by $\ell_1$ Norm Huan Li, Yiming Dong, Zhouchen Lin

JMLR 2025 On the O(sqrt(d)/T^(1/4)) Convergence Rate of RMSProp and Its Momentum Extension Measured by L_1 Norm Huan Li, Yiming Dong, Zhouchen Lin

ICCV 2025 TOTP: Transferable Online Pedestrian Trajectory Prediction with Temporal-Adaptive Mamba Latent Diffusion Ziyang Ren, Ping Wei, Shangqi Deng, Haowen Tang, Jiapeng Li, Huan Li

ICML 2025 Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting Siru Zhong, Weilin Ruan, Ming Jin, Huan Li, Qingsong Wen, Yuxuan Liang

ICLR 2025 Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Yang You, Guiming Xie, Xuejian Gong, Kunlong Zhou

IJCAI 2024 A Coarse-to-Fine Fusion Network for Event-Based Image Deblurring Huan Li, Hailong Shi, Xingyu Gao

JMLR 2024 Accelerated Gradient Tracking over Time-Varying Graphs for Decentralized Optimization Huan Li, Zhouchen Lin

NeurIPS 2024 Mixture of Neural Fields for Heterogeneous Reconstruction in Cryo-EM Axel Levy, Rishwanth Raghu, David Shustin, Adele Rui-Yang Peng, Huan Li, Oliver Biggs Clarke, Gordon Wetzstein, Ellen D. Zhong

ECCV 2024 REDIR: Refocus-Free Event-Based De-Occlusion Image Reconstruction Qi Guo, Hailong Shi, Huan Li, Jinsheng Xiao, Xingyu Gao

CVPR 2024 Task-Driven Exploration: Decoupling and Inter-Task Feedback for Joint Moment Retrieval and Highlight Detection Jin Yang, Ping Wei, Huan Li, Ziyang Ren

IJCAI 2023 FedBFPT: An Efficient Federated Learning Framework for BERT Further Pre-Training Xin'ao Wang, Huan Li, Ke Chen, Lidan Shou

ICCV 2023 Inverse Compositional Learning for Weakly-Supervised Relation Grounding Huan Li, Ping Wei, Zeyu Ma, Nanning Zheng

JMLR 2023 Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the in the O(epsilon^(-7/4)) Complexity Huan Li, Zhouchen Lin

NeurIPSW 2022 Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models Xingyu Xie, Pan Zhou, Huan Li, Zhouchen Lin, Shuicheng Yan

ECCV 2022 Asymmetric Relation Consistency Reasoning for Video Relation Grounding Huan Li, Ping Wei, Jiapeng Li, Zeyu Ma, Jiahui Shang, Nanning Zheng

ICML 2022 Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the $O(ε^-7/4)$ Complexity Huan Li, Zhouchen Lin

NeurIPS 2022 Sublinear Algorithms for Hierarchical Clustering Arpit Agarwal, Sanjeev Khanna, Huan Li, Prathamesh Patil

JMLR 2022 Variance Reduced EXTRA and DIGing and Their Optimal Acceleration for Strongly Convex Decentralized Optimization Huan Li, Zhouchen Lin, Yongchun Fang

NeurIPS 2021 Approximate Optimization of Convex Functions with Outlier Noise Anindya De, Sanjeev Khanna, Huan Li, MohammadHesam NikpeySalekde

AAAI 2021 Static-Dynamic Interaction Networks for Offline Signature Verification Huan Li, Ping Wei, Ping Hu

AISTATS 2020 Hermitian Matrices for Clustering Directed Graphs: Insights and Applications Mihai Cucuringu, Huan Li, He Sun, Luca Zanetti

JMLR 2020 On the Complexity Analysis of the Primal Solutions for the Accelerated Randomized Dual Coordinate Ascent Huan Li, Zhouchen Lin

MLJ 2020 Provable Accelerated Gradient Method for Nonconvex Low Rank Optimization Huan Li, Zhouchen Lin

IJCAI 2018 Biharmonic Distance Related Centrality for Edges in Weighted Networks Yuhao Yi, Liren Shan, Huan Li, Zhongzhi Zhang

ACML 2018 Construction of Incoherent Dictionaries via Direct Babel Function Minimization Huan Li, Zhouchen Lin

ACML 2018 Optimization Algorithm Inspired Deep Neural Network Structure Design Huan Li, Yibo Yang, Dongmin Chen, Zhouchen Lin

AAAI 2016 Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting Canyi Lu, Huan Li, Zhouchen Lin, Shuicheng Yan

NeurIPS 2015 Accelerated Proximal Gradient Methods for Nonconvex Programming Huan Li, Zhouchen Lin

MLJ 2015 Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning Zhouchen Lin, Risheng Liu, Huan Li