Wang, Chao

68 publications

TMLR 2026 SpikingMamba: Towards Energy-Efficient Large Language Models via Knowledge Distillation from Mamba Yulong Huang, Jianxiong Tang, Chao Wang, Ziyi Wang, Jianguo Zhang, Zhichao Lu, Bojun Cheng, Luziwei Leng

CVPR 2025 Adapting Text-to-Image Generation with Feature Difference Instruction for Generic Image Restoration Chao Wang, Hehe Fan, Huichen Yang, Sarvnaz Karimi, Lina Yao, Yi Yang

NeurIPS 2025 AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Document Understanding Ahmed Masry, Juan A. Rodriguez, Tianyu Zhang, Suyuchen Wang, Chao Wang, Aarash Feizi, Akshay Kalkunte Suresh, Abhay Puri, Xiangru Jian, Pierre-Andre Noel, Sathwik Tejaswi Madhusudhan, Marco Pedersoli, Bang Liu, Nicolas Chapados, Yoshua Bengio, Enamul Hoque, Christopher Pal, Issam H. Laradji, David Vazquez, Perouz Taslakian, Spandana Gella, Sai Rajeswar

ICLRW 2025 AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding Ahmed Masry, Juan A. Rodriguez, Tianyu Zhang, Suyuchen Wang, Chao Wang, Aarash Feizi, Akshay Kalkunte Suresh, Abhay Puri, Xiangru Jian, Pierre-Andre Noel, Sathwik Tejaswi Madhusudhan, Marco Pedersoli, Bang Liu, Nicolas Chapados, Yoshua Bengio, Enamul Hoque, Christopher Pal, Issam H. Laradji, David Vazquez, Perouz Taslakian, Spandana Gella, Sai Rajeswar

CVPR 2025 DPC: Dual-Prompt Collaboration for Tuning Vision-Language Models Haoyang Li, Liang Wang, Chao Wang, Jing Jiang, Yan Peng, Guodong Long

NeurIPS 2025 FACE: A General Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens Chao Wang, Yixin Song, Jinhui Ye, Chuan Qin, Dazhong Shen, Lingfeng Liu, Xiang Wang, Yanyong Zhang

ICML 2025 Generative Audio Language Modeling with Continuous-Valued Tokens and Masked Next-Token Prediction Shu-Wen Yang, Byeonggeun Kim, Kuan-Po Huang, Qingming Tang, Huy Phan, Bo-Ru Lu, Harshavardhan Sundar, Shalini Ghosh, Hung-Yi Lee, Chieh-Chi Kao, Chao Wang

ICML 2025 IMPACT: Iterative Mask-Based Parallel Decoding for Text-to-Audio Generation with Diffusion Modeling Kuan-Po Huang, Shu-Wen Yang, Huy Phan, Bo-Ru Lu, Byeonggeun Kim, Sashank Macha, Qingming Tang, Shalini Ghosh, Hung-Yi Lee, Chieh-Chi Kao, Chao Wang

ICLR 2025 Information Theoretic Text-to-Image Alignment Chao Wang, Giulio Franzese, Alessandro Finamore, Massimo Gallo, Pietro Michiardi

CVPR 2025 LEDiff: Latent Exposure Diffusion for HDR Generation Chao Wang, Zhihao Xia, Thomas Leimkuhler, Karol Myszkowski, Xuaner Zhang

ICLRW 2025 RFMI: Estimating Mutual Information on Rectified Flow for Text-to-Image Alignment Chao Wang, Giulio Franzese, Alessandro Finamore, Pietro Michiardi

AAAI 2025 RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs Jiaxing Wu, Lin Ning, Luyang Liu, Harrison Lee, Neo Wu, Chao Wang, Sushant Prakash, Shawn O'Banion, Bradley Green, Jun Xie

AAAI 2025 SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models Shuaijie Shen, Chao Wang, Renzhuo Huang, Yan Zhong, Qinghai Guo, Zhichao Lu, Jianguo Zhang, Luziwei Leng

TMLR 2025 TempFlex: Advancing MLLMs with Temporal Perception and Natively Scalable Resolution Encoding Zhanyu Wang, Chen Tang, Haoyu He, Kuan Feng, Chao Wang, Bingni Zhang, Xiaolei Xu, Shen Wang, Luping Zhou

ICCV 2025 Transparent Vision: A Theory of Hierarchical Invariant Representations Shuren Qi, Yushu Zhang, Chao Wang, Zhihua Xia, Xiaochun Cao, Fenglei Fan

AAAI 2025 Unaligned Message-Passing and Contextualized-Pretraining for Robust Geo-Entity Resolution Yuwen Ji, Wenbo Xie, Jiaqi Zhang, Chao Wang, Ning Guo, Lei Shi, Yue Zhang

ICCV 2025 VideoMiner: Iteratively Grounding Key Frames of Hour-Long Videos via Tree-Based Group Relative Policy Optimization Xinye Cao, Hongcan Guo, Jiawen Qian, Guoshun Nan, Chao Wang, Yuqi Pan, Tianhao Hou, Xiaojuan Wang, Yutong Gao

ICCV 2025 X-Dancer: Expressive Music to Human Dance Video Generation Zeyuan Chen, Hongyi Xu, Guoxian Song, You Xie, Chenxu Zhang, Xin Chen, Chao Wang, Di Chang, Linjie Luo

CVPR 2025 X-Dyna: Expressive Dynamic Human Image Animation Di Chang, Hongyi Xu, You Xie, Yipeng Gao, Zhengfei Kuang, Shengqu Cai, Chenxu Zhang, Guoxian Song, Chao Wang, Yichun Shi, Zeyuan Chen, Shijie Zhou, Linjie Luo, Gordon Wetzstein, Mohammad Soleymani

ICMLW 2024 Adaptive Two-Level Quasi-Monte Carlo for Soft Actor-Critic Du Ouyang, Zhenpeng Shi, Aodong Guo, Huaze Tang, Hejin Wang, Chao Wang, Wenbo Ding

AAAI 2024 Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding Jingping Liu, Mingchuan Zhang, Weichen Li, Chao Wang, Shuang Li, Haiyun Jiang, Sihang Jiang, Yanghua Xiao, Yunwen Chen

IJCAI 2024 DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang, Yanyong Zhang

WACV 2024 DR2: Disentangled Recurrent Representation Learning for Data-Efficient Speech Video Synthesis Chenxu Zhang, Chao Wang, Yifan Zhao, Shuo Cheng, Linjie Luo, Xiaohu Guo

ECCV 2024 Depth-Aware Blind Image Decomposition for Real-World Adverse Weather Recovery Chao Wang, Zhedong Zheng, Ruijie Quan, Yi Yang

ICML 2024 DiffFPR: Diffusion Prior for Oversampled Fourier Phase Retrieval Ji Li, Chao Wang

AAAI 2024 Emergent Communication for Numerical Concepts Generalization Enshuai Zhou, Yifan Hao, Rui Zhang, Yuxuan Guo, Zidong Du, Xishan Zhang, Xinkai Song, Chao Wang, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen

IJCAI 2024 FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation Tianfu Wang, Qilin Fan, Chao Wang, Long Yang, Leilei Ding, Nicholas Jing Yuan, Hui Xiong

NeurIPS 2024 Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong

AAAI 2024 Multi-Domain Multi-Scale Diffusion Model for Low-Light Image Enhancement Kai Shang, Mingwen Shao, Chao Wang, Yuanshuo Cheng, Shuigen Wang

NeurIPS 2024 On the Target-Kernel Alignment: A Unified Analysis with Kernel Complexity Chao Wang, Xin He, Yuwen Wang, Junhui Wang

NeurIPS 2024 OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning Shengjie Niu, Lifan Lin, Jian Huang, Chao Wang

IJCAI 2024 Pre-DyGAE: Pre-Training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting Xi Chen, Chuan Qin, Zhigaoyuan Wang, Yihang Cheng, Chao Wang, Hengshu Zhu, Hui Xiong

IJCAI 2024 Prompt Learning with Extended Kalman Filter for Pre-Trained Language Models Quan Li, Xike Xie, Chao Wang, S. Kevin Zhou

ECCV 2024 Superpixel-Informed Implicit Neural Representation for Multi-Dimensional Data Jia-Yi Li, Xi-Le Zhao, Jian-Li Wang, Chao Wang, Min Wang

AAAI 2024 Temporal Graph Contrastive Learning for Sequential Recommendation Shengzhe Zhang, Liyi Chen, Chao Wang, Shuangli Li, Hui Xiong

ICML 2024 Towards Theoretical Understanding of Learning Large-Scale Dependent Data via Random Features Chao Wang, Xin Bing, Xin He, Caixing Wang

AAAI 2024 icsPLMs: Exploring Pre-Trained Language Models in Intelligent Customer Service (Student Abstract) Shixuan Liu, Chao Wang, Shuangyong Song

CVPR 2023 Context-Aware Pretraining for Efficient Blind Image Decomposition Chao Wang, Zhedong Zheng, Ruijie Quan, Yifan Sun, Yi Yang

TMLR 2023 GIT-Net: Generalized Integral Transform for Operator Learning Chao Wang, Alexandre H. Thiery

ICCV 2023 GlowGAN: Unsupervised Learning of HDR Images from LDR Images in the Wild Chao Wang, Ana Serrano, Xingang Pan, Bin Chen, Karol Myszkowski, Hans-Peter Seidel, Christian Theobalt, Thomas Leimkühler

CVPR 2023 Image Cropping with Spatial-Aware Feature and Rank Consistency Chao Wang, Li Niu, Bo Zhang, Liqing Zhang

AAAI 2023 Incremental Image De-Raining via Associative Memory Yi Gu, Chao Wang, Jie Li

ECML-PKDD 2023 MuSE: A Multi-Scale Emotional Flow Graph Model for Empathetic Dialogue Generation Deji Zhao, Donghong Han, Ye Yuan, Chao Wang, Shuangyong Song

ECML-PKDD 2023 RBNets: A Reinforcement Learning Approach for Learning Bayesian Network Structure Zuowu Zheng, Chao Wang, Xiaofeng Gao, Guihai Chen

NeurIPS 2023 Towards a Unified Analysis of Kernel-Based Methods Under Covariate Shift Xingdong Feng, Xin He, Caixing Wang, Chao Wang, Jingnan Zhang

ICML 2022 BabelTower: Learning to Auto-Parallelized Program Translation Yuanbo Wen, Qi Guo, Qiang Fu, Xiaqing Li, Jianxing Xu, Yanlin Tang, Yongwei Zhao, Xing Hu, Zidong Du, Ling Li, Chao Wang, Xuehai Zhou, Yunji Chen

CVPR 2022 Convolutions for Spatial Interaction Modeling Zhaoen Su, Chao Wang, David Bradley, Carlos Vallespi-Gonzalez, Carl Wellington, Nemanja Djuric

AAAI 2022 DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training Xianglin Yang, Yun Lin, Ruofan Liu, Zhenfeng He, Chao Wang, Jin Song Dong, Hong Mei

CVPRW 2022 SaR: Self-Adaptive Refinement on Pseudo Labels for Multiclass-Imbalanced Semi-Supervised Learning Zhengfeng Lai, Chao Wang, Sen-Ching S. Cheung, Chen-Nee Chuah

ICML 2022 Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data Zhengfeng Lai, Chao Wang, Henrry Gunawan, Sen-Ching S Cheung, Chen-Nee Chuah

ICCV 2021 Active Learning for Lane Detection: A Knowledge Distillation Approach Fengchao Peng, Chao Wang, Jianzhuang Liu, Zhen Yang

ICCVW 2021 Joint Semi-Supervised and Active Learning for Segmentation of Gigapixel Pathology Images with Cost-Effective Labeling Zhengfeng Lai, Chao Wang, Luca Cerny Oliveira, Brittany N. Dugger, Sen-Ching Samson Cheung, Chen-Nee Chuah

AAAI 2021 Learning Term Embeddings for Lexical Taxonomies Jingping Liu, Menghui Wang, Chao Wang, Jiaqing Liang, Lihan Chen, Haiyun Jiang, Yanghua Xiao, Yunwen Chen

IJCAI 2021 Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong

NeurIPS 2021 Topic Modeling Revisited: A Document Graph-Based Neural Network Perspective Dazhong Shen, Chuan Qin, Chao Wang, Zheng Dong, Hengshu Zhu, Hui Xiong

ECCV 2020 Discriminative Partial Domain Adversarial Network Jian Hu, Hongya Tuo, Chao Wang, Lingfeng Qiao, Haowen Zhong, Junchi Yan, Zhongliang Jing, Henry Leung

AAAI 2020 Session-Level User Satisfaction Prediction for Customer Service Chatbot in E-Commerce (Student Abstract) Riheng Yao, Shuangyong Song, Qiudan Li, Chao Wang, Huan Chen, Haiqing Chen, Daniel Dajun Zeng

AAAI 2020 SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong

CVPRW 2019 Efficient Plane-Based Optimization of Geometry and Texture for Indoor RGB-D Reconstruction Chao Wang, Xiaohu Guo

AAAI 2019 Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He

IJCAI 2019 Relation Extraction Using Supervision from Topic Knowledge of Relation Labels Haiyun Jiang, Li Cui, Zhe Xu, Deqing Yang, Jindong Chen, Chenguang Li, Jingping Liu, Jiaqing Liang, Chao Wang, Yanghua Xiao, Wei Wang

ECCV 2018 Coded Illumination and Imaging for Fluorescence Based Classification Yuta Asano, Misaki Meguro, Chao Wang, Antony Lam, Yinqiang Zheng, Takahiro Okabe, Imari Sato

AAAI 2018 Confidence-Aware Matrix Factorization for Recommender Systems Chao Wang, Qi Liu, Runze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang

ECCV 2018 Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation Chao Wang, Haiyong Zheng, Zhibin Yu, Ziqiang Zheng, Zhaorui Gu, Bing Zheng

NeurIPS 2014 Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors Lingqiao Liu, Chunhua Shen, Lei Wang, Anton van den Hengel, Chao Wang

ECCV 2014 Progressive Mode-Seeking on Graphs for Sparse Feature Matching Chao Wang, Lei Wang, Lingqiao Liu

ICCV 2013 Improving Graph Matching via Density Maximization Chao Wang, Lei Wang, Lingqiao Liu

ICML 2006 Learning Approximate MRFs from Large Transactional Data Chao Wang, Srinivasan Parthasarathy