Huang, Shao-Lun

19 publications

NeurIPS 2025 A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning Qingyue Zhang, Haohao Fu, Guanbo Huang, Yaoyuan Liang, Chang Chu, Tianren Peng, Yanru Wu, Qi Li, Yang Li, Shao-Lun Huang

ICCV 2025 CanonSwap: High-Fidelity and Consistent Video Face Swapping via Canonical Space Modulation Xiangyang Luo, Ye Zhu, Yunfei Liu, Lijian Lin, Cong Wan, Zijian Cai, Yu Li, Shao-Lun Huang

NeurIPS 2025 Multi-Kernel Correlation-Attention Vision Transformer for Enhanced Contextual Understanding and Multi-Scale Integration Hongkang Zhang, Shao-Lun Huang, Ercan Engin Kuruoglu, Yanlong Wang

CPAL 2025 White-Box Error Correction Code Transformer Ziyan Zheng, Chin Wa Lau, Nian Guo, Xiang Shi, Shao-Lun Huang

AAAI 2024 CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding Yaoyuan Liang, Xiao Liang, Yansong Tang, Zhao Yang, Ziran Li, Jingang Wang, Wenbo Ding, Shao-Lun Huang

NeurIPS 2024 Unleashing Region Understanding in Intermediate Layers for MLLM-Based Referring Expression Generation Yaoyuan Liang, Zhuojun Cai, Jian Xu, Guanbo Huang, Yiran Wang, Xiao Liang, Jiahao Liu, Ziran Li, Jingang Wang, Shao-Lun Huang

NeurIPSW 2024 What You See Is What You Get: Entity-Aware Summarization for Reliable Sponsored Search Xiao Liang, Xinyu Hu, Simiao Zuo, Jimi He, Yu Wang, Victor Ye Dong, Yeyun Gong, Kushal S. Dave, Yi Liu, Qiang Lou, Shao-Lun Huang, Jian Jiao

ICMLW 2023 A Joint Training-Calibration Framework for Test-Time Personalization with Label Distribution Shift in Federated Learning Jian Xu, Shao-Lun Huang

ICLR 2023 Personalized Federated Learning with Feature Alignment and Classifier Collaboration Jian Xu, Xinyi Tong, Shao-Lun Huang

ICLRW 2022 Decoupled Graph Neural Networks Based on Label Agreement Message Propagation Zhicheng An, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Jun Zhou, Yue Wang, Shao-Lun Huang

ICLR 2022 PAC-Bayes Information Bottleneck Zifeng Wang, Shao-Lun Huang, Ercan Engin Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng

AAAI 2022 Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He

NeurIPS 2022 Revisiting Sparse Convolutional Model for Visual Recognition Xili Dai, Mingyang Li, Pengyuan Zhai, Shengbang Tong, Xingjian Gao, Shao-Lun Huang, Zhihui Zhu, Chong You, Yi Ma

NeurIPS 2021 A Mathematical Framework for Quantifying Transferability in Multi-Source Transfer Learning Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng

CVPR 2021 OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations Yang Tan, Yang Li, Shao-Lun Huang

NeurIPSW 2021 Performance-Guaranteed ODE Solvers with Complexity-Informed Neural Networks Feng Zhao, Xiang Chen, Jun Wang, Zuoqiang Shi, Shao-Lun Huang

NeurIPS 2020 Information Theoretic Counterfactual Learning from Missing-Not-at-Random Feedback Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan Kuruoglu, Yefeng Zheng

AAAI 2020 Less Is Better: Unweighted Data Subsampling via Influence Function Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang

AAAI 2019 An Efficient Approach to Informative Feature Extraction from Multimodal Data Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang