Kong, Linghe

27 publications

ICLR 2025 ARB-LLM: Alternating Refined Binarizations for Large Language Models Zhiteng Li, Xianglong Yan, Tianao Zhang, Haotong Qin, Dong Xie, Jiang Tian, Zhongchao Shi, Linghe Kong, Yulun Zhang, Xiaokang Yang

ICML 2025 BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution Kai Liu, Kaicheng Yang, Zheng Chen, Zhiteng Li, Yong Guo, Wenbo Li, Linghe Kong, Yulun Zhang

ICLRW 2025 Enhanced Continual Learning of Vision-Language Models with Model Fusion Haoyuan Gao, Zicong Zhang, Yuqi Wei, Linglan Zhao, Guilin Li, Yexin Li, Linghe Kong, Weiran Huang

NeurIPS 2025 First SFT, Second RL, Third UPT: Continual Improving Multi-Modal LLM Reasoning via Unsupervised Post-Training Lai Wei, Yuting Li, Chen Wang, Yue Wang, Linghe Kong, Weiran Huang, Lichao Sun

ICCV 2025 Improving SAM for Camouflaged Object Detection via Dual Stream Adapters Jiaming Liu, Linghe Kong, Guihai Chen

IJCAI 2025 Multi-Player Multi-Armed Bandits with Delayed Feedback Jingqi Fan, Zilong Wang, Shuai Li, Linghe Kong

NeurIPS 2025 PANTHER: Generative Pretraining Beyond Language for Sequential User Behavior Modeling Guilin Li, Yun Zhang, Xiuyuan Chen, Chengqi Li, Bo Wang, Linghe Kong, Wenjia Wang, Weiran Huang, Matthias Hwai Yong Tan

ICCV 2025 QuantCache: Adaptive Importance-Guided Quantization with Hierarchical Latent and Layer Caching for Video Generation Junyi Wu, Zhiteng Li, Zheng Hui, Yulun Zhang, Linghe Kong, Xiaokang Yang

ICML 2025 RUN: Reversible Unfolding Network for Concealed Object Segmentation Chunming He, Rihan Zhang, Fengyang Xiao, Chengyu Fang, Longxiang Tang, Yulun Zhang, Linghe Kong, Deng-Ping Fan, Kai Li, Sina Farsiu

NeurIPS 2024 2DQuant: Low-Bit Post-Training Quantization for Image Super-Resolution Kai Liu, Haotong Qin, Yong Guo, Xin Yuan, Linghe Kong, Guihai Chen, Yulun Zhang

NeurIPS 2024 Binarized Diffusion Model for Image Super-Resolution Zheng Chen, Haotong Qin, Yong Guo, Xiongfei Su, Xin Yuan, Linghe Kong, Yulun Zhang

NeurIPS 2024 CondTSF: One-Line Plugin of Dataset Condensation for Time Series Forecasting Jianrong Ding, Zhanyu Liu, Guanjie Zheng, Haiming Jin, Linghe Kong

MLJ 2024 GS2P: A Generative Pre-Trained Learning to Rank Model with Over-Parameterization for Web-Scale Search Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin

IJCAI 2024 GS2P: A Generative Pre-Trained Learning to Rank Model with Over-Parameterization for Web-Scale Search (Extended Abstract) Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin

NeurIPS 2024 HyperPrism: An Adaptive Non-Linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-Varying Communication Links Haizhou Du, Yijian Chen, Ryan Yang, Yuchen Li, Linghe Kong

IJCAI 2024 MPGraf: A Modular and Pre-Trained Graphformer for Learning to Rank at Web-Scale (Extended Abstract) Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin

ICLR 2024 Recursive Generalization Transformer for Image Super-Resolution Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang

NeurIPS 2024 UrbanDataLayer: A Unified Data Pipeline for Urban Science Yiheng Wang, Tianyu Wang, Yuying Zhang, Hongji Zhang, Haoyu Zheng, Guanjie Zheng, Linghe Kong

ICLR 2024 Xformer: Hybrid X-Shaped Transformer for Image Denoising Jiale Zhang, Yulun Zhang, Jinjin Gu, Jiahua Dong, Linghe Kong, Xiaokang Yang

ICLR 2023 Accurate Image Restoration with Attention Retractable Transformer Jiale Zhang, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan

ICCV 2023 Dual Aggregation Transformer for Image Super-Resolution Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang, Fisher Yu

NeurIPS 2023 Hierarchical Integration Diffusion Model for Realistic Image Deblurring Zheng Chen, Yulun Zhang, Ding Liu, Bin Xia, Jinjin Gu, Linghe Kong, Xin Yuan

ECML-PKDD 2023 LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search Yuchen Li, Haoyi Xiong, Linghe Kong, Shuaiqiang Wang, Zeyi Sun, Hongyang Chen, Guihai Chen, Dawei Yin

NeurIPS 2022 Cross Aggregation Transformer for Image Restoration Zheng Chen, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan

ECML-PKDD 2022 Meta Hierarchical Reinforced Learning to Rank for Recommendation: A Comprehensive Study in MOOCs Yuchen Li, Haoyi Xiong, Linghe Kong, Rui Zhang, Dejing Dou, Guihai Chen

AAAI 2020 Tensor FISTA-Net for Real-Time Snapshot Compressive Imaging Xiaochen Han, Bo Wu, Zheng Shou, Xiao-Yang Liu, Yimeng Zhang, Linghe Kong

AAAI 2019 Optimizing in the Dark: Learning an Optimal Solution Through a Simple Request Interface Qiao Xiang, Haitao Yu, James Aspnes, Franck Le, Linghe Kong, Yang Richard Yang