Xiao, Shuai

18 publications

CVPR 2025 Advancing Myopia to Holism: Fully Contrastive Language-Image Pre-Training Haicheng Wang, Chen Ju, Weixiong Lin, Shuai Xiao, Mengting Chen, Yixuan Huang, Chang Liu, Mingshuai Yao, Jinsong Lan, Ying Chen, Qingwen Liu, Yanfeng Wang

ICML 2025 CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration Haoyun Jiang, Haolin Li, Jianwei Zhang, Fei Huang, Qiang Hu, Minmin Sun, Shuai Xiao, Yong Li, Junyang Lin, Jiangchao Yao

ICCV 2025 FOLDER: Accelerating Multi-Modal Large Language Models with Enhanced Performance Haicheng Wang, Zhemeng Yu, Gabriele Spadaro, Chen Ju, Victor Quétu, Shuai Xiao, Enzo Tartaglione

ICLR 2025 Inner Information Analysis Algorithm for Deep Neural Network Based on Community Guipeng Lan, Shuai Xiao, Meng Xi, Jiabao Wen, Jiachen Yang

ICML 2025 TimePro: Efficient Multivariate Long-Term Time Series Forecasting with Variable- and Time-Aware Hyper-State Xiaowen Ma, Zhen-Liang Ni, Shuai Xiao, Xinghao Chen

AAAI 2024 Generative Model Perception Rectification Algorithm for Trade-Off Between Diversity and Quality Guipeng Lan, Shuai Xiao, Jiachen Yang, Jiabao Wen

CVPR 2024 Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-Dataset 3D Object Detection Zhanwei Zhang, Minghao Chen, Shuai Xiao, Liang Peng, Hengjia Li, Binbin Lin, Ping Li, Wenxiao Wang, Boxi Wu, Deng Cai

ECCV 2024 Turbo: Informativity-Driven Acceleration Plug-in for Vision-Language Large Models Chen Ju, Haicheng Wang, Haozhe Cheng, Xu Chen, Zhonghua Zhai, Weilin Huang, Jinsong Lan, Shuai Xiao, Bo Zheng

ECCV 2024 Wear-Any-Way: Manipulable Virtual Try-on via Sparse Correspondence Alignment Mengting Chen, Xi Chen, Zhonghua Zhai, Chen Ju, Xuewen Hong, Jinsong Lan, Shuai Xiao

AISTATS 2022 Tile Networks: Learning Optimal Geometric Layout for Whole-Page Recommendation Shuai Xiao, Zaifan Jiang, Shuang Yang

CVPR 2021 Efficient Multi-Stage Video Denoising with Recurrent Spatio-Temporal Fusion Matteo Maggioni, Yibin Huang, Cheng Li, Shuai Xiao, Zhongqian Fu, Fenglong Song

AAAI 2018 Learning Conditional Generative Models for Temporal Point Processes Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha

NeurIPS 2018 Learning Temporal Point Processes via Reinforcement Learning Shuang Li, Shuai Xiao, Shixiang Zhu, Nan Du, Yao Xie, Le Song

AAAI 2017 Modeling the Intensity Function of Point Process via Recurrent Neural Networks Shuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha, Stephen M. Chu

AAAI 2017 On Predictive Patent Valuation: Forecasting Patent Citations and Their Types Xin Liu, Junchi Yan, Shuai Xiao, Xiangfeng Wang, Hongyuan Zha, Stephen M. Chu

NeurIPS 2017 Wasserstein Learning of Deep Generative Point Process Models Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Le Song, Hongyuan Zha

IJCAI 2016 Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior Junchi Yan, Shuai Xiao, Changsheng Li, Bo Jin, Xiangfeng Wang, Bin Ke, Xiaokang Yang, Hongyuan Zha

IJCAI 2016 On Modeling and Predicting Individual Paper Citation Count over Time Shuai Xiao, Junchi Yan, Changsheng Li, Bo Jin, Xiangfeng Wang, Xiaokang Yang, Stephen M. Chu, Hongyuan Zha