Li, Jialin

9 publications

CVPR 2025 AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation Datao Tang, Xiangyong Cao, Xuan Wu, Jialin Li, Jing Yao, Xueru Bai, Dongsheng Jiang, Yin Li, Deyu Meng
ICLR 2025 MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection Xi Jiang, Jian Li, Hanqiu Deng, Yong Liu, Bin-Bin Gao, Yifeng Zhou, Jialin Li, Chengjie Wang, Feng Zheng
IJCAI 2025 One-Shot Federated Learning Methods: A Practical Guide Xiang Liu, Zhenheng Tang, Xia Li, Yijun Song, Sijie Ji, Zemin Liu, Bo Han, Linshan Jiang, Jialin Li
ICML 2025 PipeOffload: Improving Scalability of Pipeline Parallelism with Memory Optimization Xinyi Wan, Penghui Qi, Guangxing Huang, Min Lin, Jialin Li
NeurIPS 2024 FedLPA: One-Shot Federated Learning with Layer-Wise Posterior Aggregation Xiang Liu, Liangxi Liu, Feiyang Ye, Yunheng Shen, Xia Li, Linshan Jiang, Jialin Li
NeurIPS 2024 Fetch and Forge: Efficient Dataset Condensation for Object Detection Ding Qi, Jian Li, Jinlong Peng, Bo Zhao, Shuguang Dou, Jialin Li, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Cairong Zhao
CVPR 2024 LORS: Low-Rank Residual Structure for Parameter-Efficient Network Stacking Jialin Li, Qiang Nie, Weifu Fu, Yuhuan Lin, Guangpin Tao, Yong Liu, Chengjie Wang
NeurIPS 2024 Safe Time-Varying Optimization Based on Gaussian Processes with Spatio-Temporal Kernel Jialin Li, Marta Zagorowska, Giulia De Pasquale, Alisa Rupenyan, John Lygeros
NeurIPSW 2022 MapQA: A Dataset for Question Answering on Choropleth Maps Shuaichen Chang, David Palzer, Jialin Li, Eric Fosler-Lussier, Ningchuan Xiao