Wang, Yunhe

118 publications

ICLR 2025 CBQ: Cross-Block Quantization for Large Language Models Xin Ding, Xiaoyu Liu, Zhijun Tu, Yun Zhang, Wei Li, Jie Hu, Hanting Chen, Yehui Tang, Zhiwei Xiong, Baoqun Yin, Yunhe Wang

ICLR 2025 DECO: Unleashing the Potential of ConvNets for Query-Based Detection and Segmentation Xinghao Chen, Siwei Li, Yijing Yang, Yunhe Wang

AAAI 2025 Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts Miao Rang, Zhenni Bi, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang

ICML 2025 Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning Zhenni Bi, Kai Han, Chuanjian Liu, Yehui Tang, Yunhe Wang

ICML 2025 LLM Data Selection and Utilization via Dynamic Bi-Level Optimization Yang Yu, Kai Han, Hang Zhou, Yehui Tang, Kaiqi Huang, Yunhe Wang, Dacheng Tao

ICLR 2025 Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models Yuchen Liang, Xiangzhong Fang, Hanting Chen, Yunhe Wang

ICML 2025 Mixture of Lookup Experts Shibo Jie, Yehui Tang, Kai Han, Yitong Li, Duyu Tang, Zhi-Hong Deng, Yunhe Wang

ICML 2025 SlimLLM: Accurate Structured Pruning for Large Language Models Jialong Guo, Xinghao Chen, Yehui Tang, Yunhe Wang

AAAI 2025 TinySAM: Pushing the Envelope for Efficient Segment Anything Model Han Shu, Wenshuo Li, Yehui Tang, Yiman Zhang, Yihao Chen, Houqiang Li, Yunhe Wang, Xinghao Chen

NeurIPS 2025 U-REPA: Aligning Diffusion U-Nets to ViTs Yuchuan Tian, Hanting Chen, Mengyu Zheng, Yuchen Liang, Chao Xu, Yunhe Wang

ECCV 2024 Adapt Without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models Mengyu Zheng, Yehui Tang, Zhiwei Hao, Kai Han, Yunhe Wang, Chang Xu

CVPR 2024 An Empirical Study of Scaling Law for Scene Text Recognition Miao Rang, Zhenni Bi, Chuanjian Liu, Yunhe Wang, Kai Han

ECCV 2024 Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation Zhenliang Ni, Xinghao Chen, Yingjie Zhai, Yehui Tang, Yunhe Wang

ICML 2024 DiJiang: Efficient Large Language Models Through Compact Kernelization Hanting Chen, Liu Zhicheng, Xutao Wang, Yuchuan Tian, Yunhe Wang

CVPR 2024 Distilling Semantic Priors from SAM to Efficient Image Restoration Models Quan Zhang, Xiaoyu Liu, Wei Li, Hanting Chen, Junchao Liu, Jie Hu, Zhiwei Xiong, Chun Yuan, Yunhe Wang

NeurIPS 2024 Enhancing Large Language Models Through Adaptive Tokenizers Mengyu Zheng, Hanting Chen, Tianyu Guo, Chong Zhu, Binfan Zheng, Chang Xu, Yunhe Wang

ICML 2024 ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking Wenshuo Li, Xinghao Chen, Han Shu, Yehui Tang, Yunhe Wang

CVPR 2024 Image Processing GNN: Breaking Rigidity in Super-Resolution Yuchuan Tian, Hanting Chen, Chao Xu, Yunhe Wang

NeurIPS 2024 Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting Fangcheng Liu, Yehui Tang, Zhenhua Liu, Yunsheng Ni, Duyu Tang, Kai Han, Yunhe Wang

ICML 2024 Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning Shibo Jie, Yehui Tang, Ning Ding, Zhi-Hong Deng, Kai Han, Yunhe Wang

NeurIPS 2024 MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers Ning Ding, Yehui Tang, Haochen Qin, Zhenli Zhou, Chao Xu, Lin Li, Kai Han, Heng Liao, Yunhe Wang

ICLR 2024 Multiscale Positive-Unlabeled Detection of AI-Generated Texts Yuchuan Tian, Hanting Chen, Xutao Wang, Zheyuan Bai, Qinghua Zhang, Ruifeng Li, Chao Xu, Yunhe Wang

CVPR 2024 ParameterNet: Parameters Are All You Need for Large-Scale Visual Pretraining of Mobile Networks Kai Han, Yunhe Wang, Jianyuan Guo, Enhua Wu

ICML 2024 Rethinking Optimization and Architecture for Tiny Language Models Yehui Tang, Kai Han, Fangcheng Liu, Yunsheng Ni, Yuchuan Tian, Zheyuan Bai, Yi-Qi Hu, Sichao Liu, Shangling Jui, Yunhe Wang

ICML 2024 SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-Parameterized Batch Normalization Jialong Guo, Xinghao Chen, Yehui Tang, Yunhe Wang

NeurIPS 2024 Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning Hang Zhou, Yehui Tang, Haochen Qin, Yujie Yang, Renren Jin, Deyi Xiong, Kai Han, Yunhe Wang

ECCV 2024 Token Compensator: Altering Inference Cost of Vision Transformer Without Re-Tuning Shibo Jie, Yehui Tang, Jianyuan Guo, Zhi-Hong Deng, Kai Han, Yunhe Wang

NeurIPS 2024 U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers Yuchuan Tian, Zhijun Tu, Hanting Chen, Jie Hu, Chao Xu, Yunhe Wang

CVPR 2024 UFineBench: Towards Text-Based Person Retrieval with Ultra-Fine Granularity Jialong Zuo, Hanyu Zhou, Ying Nie, Feng Zhang, Tianyu Guo, Nong Sang, Yunhe Wang, Changxin Gao

TMLR 2023 Complementary Sparsity: Accelerating Sparse CNNs with High Accuracy on General-Purpose Computing Platforms Kang Zhao, Yijun Tan, Kai Han, Ting Hu, Hanting Chen, Tao Yuan, Yunhe Wang, Jun Yao

TMLR 2023 Deep Plug-and-Play Clustering with Unknown Number of Clusters An Xiao, Hanting Chen, Tianyu Guo, Qinghua Zhang, Yunhe Wang

NeurIPS 2023 GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image Mingjian Zhu, Hanting Chen, Qiangyu Yan, Xudong Huang, Guanyu Lin, Wei Li, Zhijun Tu, Hailin Hu, Jie Hu, Yunhe Wang

NeurIPS 2023 Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism Chengcheng Wang, Wei He, Ying Nie, Jianyuan Guo, Chuanjian Liu, Yunhe Wang, Kai Han

ICCV 2023 Less Is More: Focus Attention for Efficient DETR Dehua Zheng, Wenhui Dong, Hailin Hu, Xinghao Chen, Yunhe Wang

CVPR 2023 Masked Image Modeling with Local Multi-Scale Reconstruction Haoqing Wang, Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhi-Hong Deng, Kai Han

CVPRW 2023 NTIRE 2023 Challenge on Image Denoising: Methods and Results Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Zhijun Tu, Kunpeng Du, Hailing Wang, Hanting Chen, Wei Li, Xiaofei Wang, Jie Hu, Yunhe Wang, Xiangyu Kong, Jinlong Wu, Dafeng Zhang, Jianxing Zhang, Shuai Liu, Furui Bai, Chaoyu Feng, Hao Wang, Yuqian Zhang, Guangqi Shao, Xiaotao Wang, Lei Lei, Rongjian Xu, Zhilu Zhang, Yunjin Chen, Dongwei Ren, Wangmeng Zuo, Qi Wu, Mingyan Han, Shen Cheng, Haipeng Li, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Jinting Luo, Wenjie Lin, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Aditya Arora, Syed Waqas Zamir, Javier Vazquez-Corral, Konstantinos G. Derpanis, Michael S. Brown, Hao Li, Zhihao Zhao, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Bo Yang, Jingxiang Chen, Chenghua Li, Xi Zhang, Zhao Zhang, Jiahuan Ren, Zhicheng Ji, Kang Miao, Suiyi Zhao, Huan Zheng, Yanyan Wei, Kangliang Liu, Xiangcheng Du, Sijie Liu, Yingbin Zheng, Xingjiao Wu, Cheng Jin, Rajeev Irny, Sriharsha Koundinya, Vighnesh Kamath, Gaurav Khandelwal, Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee, Shijie Chen, Chengqiang Zhao, Huabin Yang, Zhongjian Zhang, Junjia Huang, Yanru Zhang

CVPR 2023 Network Expansion for Practical Training Acceleration Ning Ding, Yehui Tang, Kai Han, Chao Xu, Yunhe Wang

NeurIPS 2023 One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation Zhiwei Hao, Jianyuan Guo, Kai Han, Yehui Tang, Han Hu, Yunhe Wang, Chang Xu

NeurIPS 2023 PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference Xutao Wang, Hanting Chen, Tianyu Guo, Yunhe Wang

CVPR 2023 RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis Xudong Huang, Wei Li, Jie Hu, Hanting Chen, Yunhe Wang

NeurIPS 2023 Revisit the Power of Vanilla Knowledge Distillation: From Small Scale to Large Scale Zhiwei Hao, Jianyuan Guo, Kai Han, Han Hu, Chang Xu, Yunhe Wang

NeurIPS 2023 Species196: A One-Million Semi-Supervised Dataset for Fine-Grained Species Recognition Wei He, Kai Han, Ying Nie, Chengcheng Wang, Yunhe Wang

CVPR 2023 Toward Accurate Post-Training Quantization for Image Super Resolution Zhijun Tu, Jie Hu, Hanting Chen, Yunhe Wang

NeurIPS 2023 Towards Higher Ranks via Adversarial Weight Pruning Yuchuan Tian, Hanting Chen, Tianyu Guo, Chao Xu, Yunhe Wang

NeurIPS 2023 VanillaNet: The Power of Minimalism in Deep Learning Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao

NeurIPS 2023 When Visual Prompt Tuning Meets Source-Free Domain Adaptive Semantic Segmentation Xinhong Ma, Yiming Wang, Hao Liu, Tianyu Guo, Yunhe Wang

NeurIPS 2022 A Transformer-Based Object Detector with Coarse-Fine Crossing Representations Zhishan Li, Ying Nie, Kai Han, Jianyuan Guo, Lei Xie, Yunhe Wang

NeurIPS 2022 Accelerating Sparse Convolution with Column Vector-Wise Sparsity Yijun Tan, Kai Han, Kang Zhao, Xianzhi Yu, Zidong Du, Yunji Chen, Yunhe Wang, Jun Yao

ECCV 2022 AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets Zhijun Tu, Xinghao Chen, Pengju Ren, Yunhe Wang

CVPR 2022 An Image Patch Is a Wave: Phase-Aware Vision MLP Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Yanxi Li, Chao Xu, Yunhe Wang

NeurIPS 2022 BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons Yixing Xu, Xinghao Chen, Yunhe Wang

CVPR 2022 Brain-Inspired Multilayer Perceptron with Spiking Neurons Wenshuo Li, Hanting Chen, Jianyuan Guo, Ziyang Zhang, Yunhe Wang

NeurIPS 2022 Bridge the Gap Between Architecture Spaces via a Cross-Domain Predictor Yuqiao Liu, Yehui Tang, Zeqiong Lv, Yunhe Wang, Yanan Sun

CVPR 2022 CMT: Convolutional Neural Networks Meet Vision Transformers Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Xinghao Chen, Yunhe Wang, Chang Xu

ICML 2022 Federated Learning with Positive and Unlabeled Data Xinyang Lin, Hanting Chen, Yixing Xu, Chao Xu, Xiaolin Gui, Yiping Deng, Yunhe Wang

NeurIPS 2022 GhostNetV2: Enhance Cheap Operation with Long-Range Attention Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang

TMLR 2022 GhostSR: Learning Ghost Features for Efficient Image Super-Resolution Ying Nie, Kai Han, Zhenhua Liu, Chuanjian Liu, Yunhe Wang

CVPR 2022 Hire-MLP: Vision MLP via Hierarchical Rearrangement Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang

CVPR 2022 Instance-Aware Dynamic Neural Network Quantization Zhenhua Liu, Yunhe Wang, Kai Han, Siwei Ma, Wen Gao

NeurIPS 2022 Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation Zhiwei Hao, Jianyuan Guo, Ding Jia, Kai Han, Yehui Tang, Chao Zhang, Han Hu, Yunhe Wang

CVPR 2022 Multimodal Token Fusion for Vision Transformers Yikai Wang, Xinghao Chen, Lele Cao, Wenbing Huang, Fuchun Sun, Yunhe Wang

CVPRW 2022 Network Amplification with Efficient MACs Allocation Chuanjian Liu, Kai Han, An Xiao, Ying Nie, Wei Zhang, Yunhe Wang

CVPR 2022 Patch Slimming for Efficient Vision Transformers Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao

NeurIPS 2022 Random Normalization Aggregation for Adversarial Defense Minjing Dong, Xinghao Chen, Yunhe Wang, Chang Xu

NeurIPS 2022 Redistribution of Weights and Activations for AdderNet Quantization Ying Nie, Kai Han, Haikang Diao, Chuanjian Liu, Enhua Wu, Yunhe Wang

CVPRW 2022 Searching for Energy-Efficient Hybrid Adder-Convolution Neural Networks Wenshuo Li, Xinghao Chen, Jinyu Bai, Xuefei Ning, Yunhe Wang

CVPR 2022 Source-Free Domain Adaptation via Distribution Estimation Ning Ding, Yixing Xu, Yehui Tang, Chao Xu, Yunhe Wang, Dacheng Tao

ICML 2022 Spatial-Channel Token Distillation for Vision MLPs Yanxi Li, Xinghao Chen, Minjing Dong, Yehui Tang, Yunhe Wang, Chang Xu

NeurIPS 2022 Vision GNN: An Image Is Worth Graph of Nodes Kai Han, Yunhe Wang, Jianyuan Guo, Yehui Tang, Enhua Wu

AAAI 2022 ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations Zhuohan Yu, Yifu Lu, Yunhe Wang, Fan Tang, Ka-Chun Wong, Xiangtao Li

NeurIPS 2021 Adder Attention for Vision Transformer Han Shu, Jiahao Wang, Hanting Chen, Lin Li, Yujiu Yang, Yunhe Wang

CVPR 2021 AdderSR: Towards Energy Efficient Image Super-Resolution Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao

AAAI 2021 Adversarial Robustness Through Disentangled Representations Shuo Yang, Tianyu Guo, Yunhe Wang, Chang Xu

NeurIPS 2021 An Empirical Study of Adder Neural Networks for Object Detection Xinghao Chen, Chang Xu, Minjing Dong, Chunjing Xu, Yunhe Wang

NeurIPS 2021 Augmented Shortcuts for Vision Transformers Yehui Tang, Kai Han, Chang Xu, An Xiao, Yiping Deng, Chao Xu, Yunhe Wang

CVPR 2021 Data-Free Knowledge Distillation for Image Super-Resolution Yiman Zhang, Hanting Chen, Xinghao Chen, Yiping Deng, Chunjing Xu, Yunhe Wang

CVPR 2021 Distilling Object Detectors via Decoupled Features Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu

NeurIPS 2021 Dynamic Resolution Network Mingjian Zhu, Kai Han, Enhua Wu, Qiulin Zhang, Ying Nie, Zhenzhong Lan, Yunhe Wang

NeurIPS 2021 Handling Long-Tailed Feature Distribution in AdderNets Minjing Dong, Yunhe Wang, Xinghao Chen, Chang Xu

CVPR 2021 HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens Zhaohui Yang, Yunhe Wang, Xinghao Chen, Jianyuan Guo, Wei Zhang, Chao Xu, Chunjing Xu, Dacheng Tao, Chang Xu

NeurIPS 2021 Learning Frequency Domain Approximation for Binary Neural Networks Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang

ICCV 2021 Learning Frequency-Aware Dynamic Network for Efficient Super-Resolution Wenbin Xie, Dehua Song, Chang Xu, Chunjing Xu, Hui Zhang, Yunhe Wang

CVPR 2021 Learning Student Networks in the Wild Hanting Chen, Tianyu Guo, Chang Xu, Wenshuo Li, Chunjing Xu, Chao Xu, Yunhe Wang

CVPR 2021 Manifold Regularized Dynamic Network Pruning Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu

NeurIPS 2021 Neural Architecture Dilation for Adversarial Robustness Yanxi Li, Zhaohui Yang, Yunhe Wang, Chang Xu

AAAI 2021 One-Shot Graph Neural Architecture Search with Dynamic Search Space Yanxi Li, Zean Wen, Yunhe Wang, Chang Xu

CVPR 2021 Positive-Unlabeled Data Purification in the Wild for Object Detection Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Xinghao Chen, Chunjing Xu, Chang Xu, Yunhe Wang

NeurIPS 2021 Post-Training Quantization for Vision Transformer Zhenhua Liu, Yunhe Wang, Kai Han, Wei Zhang, Siwei Ma, Wen Gao

CVPR 2021 Pre-Trained Image Processing Transformer Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao

CVPR 2021 ReNAS: Relativistic Evaluation of Neural Architecture Search Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu

NeurIPS 2021 Towards Stable and Robust AdderNets Minjing Dong, Yunhe Wang, Xinghao Chen, Chang Xu

NeurIPS 2021 Transformer in Transformer Kai Han, An Xiao, Enhua Wu, Jianyuan Guo, Chunjing Xu, Yunhe Wang

ICML 2021 Winograd Algorithm for AdderNet Wenshuo Li, Hanting Chen, Mingqiang Huang, Xinghao Chen, Chunjing Xu, Yunhe Wang

NeurIPS 2020 Adapting Neural Architectures Between Domains Yanxi Li, Zhaohui Yang, Yunhe Wang, Chang Xu

AAAI 2020 Beyond Dropout: Feature mAP Distortion to Regularize Deep Neural Networks Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu

AAAI 2020 Distilling Portable Generative Adversarial Networks for Image Translation Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu

IJCAI 2020 DropNAS: Grouped Operation Dropout for Differentiable Architecture Search Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu

AAAI 2020 Efficient Residual Dense Block Search for Image Super-Resolution Dehua Song, Chang Xu, Xu Jia, Yiyi Chen, Chunjing Xu, Yunhe Wang

NeurIPS 2020 Kernel Based Progressive Distillation for Adder Neural Networks Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang

NeurIPS 2020 Model Rubik’s Cube: Twisting Resolution, Depth and Width for TinyNets Kai Han, Yunhe Wang, Qiulin Zhang, Wei Zhang, Chunjing Xu, Tong Zhang

ICML 2020 Neural Architecture Search in a Proxy Validation Loss Landscape Yanxi Li, Minjing Dong, Yunhe Wang, Chang Xu

ECCV 2020 Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing Xu, Chang Xu

NeurIPS 2020 Residual Distillation: Towards Portable Deep Neural Networks Without Shortcuts Guilin Li, Junlei Zhang, Yunhe Wang, Chuanjian Liu, Matthias Tan, Yunfeng Lin, Wei Zhang, Jiashi Feng, Tong Zhang

NeurIPS 2020 SCOP: Scientific Control for Reliable Neural Network Pruning Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu

NeurIPS 2020 Searching for Low-Bit Weights in Quantized Neural Networks Zhaohui Yang, Yunhe Wang, Kai Han, Chunjing Xu, Chao Xu, Dacheng Tao, Chang Xu

ICML 2020 Training Binary Neural Networks Through Learning with Noisy Supervision Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu

IJCAI 2019 Attribute Aware Pooling for Pedestrian Attribute Recognition Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu

IJCAI 2019 Crafting Efficient Neural Graph of Large Entropy Minjing Dong, Hanting Chen, Yunhe Wang, Chang Xu

IJCAI 2019 Learning Instance-Wise Sparsity for Accelerating Deep Models Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu

ICML 2019 LegoNet: Efficient Convolutional Neural Networks with Lego Filters Zhaohui Yang, Yunhe Wang, Chuanjian Liu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu

NeurIPS 2019 Positive-Unlabeled Compression on the Cloud Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu

ICCVW 2019 Searching for Accurate Binary Neural Architectures Mingzhu Shen, Kai Han, Chunjing Xu, Yunhe Wang

AAAI 2018 Adversarial Learning of Portable Student Networks Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao

NeurIPS 2018 Learning Versatile Filters for Efficient Convolutional Neural Networks Yunhe Wang, Chang Xu, Chunjing Xu, Chao Xu, Dacheng Tao

ICML 2017 Beyond Filters: Compact Feature mAP for Portable Deep Model Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao

AAAI 2017 Beyond RPCA: Flattening Complex Noise in the Frequency Domain Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao

IJCAI 2017 Privileged Multi-Label Learning Shan You, Chang Xu, Yunhe Wang, Chao Xu, Dacheng Tao

NeurIPS 2016 CNNpack: Packing Convolutional Neural Networks in the Frequency Domain Yunhe Wang, Chang Xu, Shan You, Dacheng Tao, Chao Xu