Yunhe Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
94
Venues
16
Active years
2010–2026
Best venue rank
A*
Where they publish
Papers
94 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | GenVidBench: A 6-Million Benchmark for AI-Generated Video Detection. | Zhenliang Ni, Qiangyu Yan, Mouxiao Huang, Tianning Yuan, Yehui Tang, Hailin Hu, Xinghao Chen, Yunhe Wang |
| 2026 | ACL | Multi-Granularity Semantic Revision for Large Language Model Distillation. | Xiaoyu Liu, Yun Zhang, Wei Li, Simiao Li, Xudong Huang, Hanting Chen, Yehui Tang, Jie Hu, Zhiwei Xiong, Yunhe Wang |
| 2026 | ISKE | A Simplified Multilevel SVPWM Strategy for Cascaded H-Bridge Converters. | Jiawei Wang, Yunhe Wang, Wenjie Ma, Guidong Zhang, Lihao Wu, Zhong Li |
| 2025 | AAAI | Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts. | Miao Rang, Zhenni Bi, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang |
| 2025 | AAAI | 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 |
| 2025 | ICLR | DECO: Unleashing the Potential of ConvNets for Query-based Detection and Segmentation. | Xinghao Chen, Siwei Li, Yijing Yang, Yunhe Wang |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models. | Yuchen Liang, Xiangzhong Fang, Hanting Chen, Yunhe Wang |
| 2025 | ICML | LLM Data Selection and Utilization via Dynamic Bi-level Optimization. | Yang Yu, Kai Han, Hang Zhou, Yehui Tang, Kaiqi Huang, Yunhe Wang, Dacheng Tao |
| 2025 | ICML | Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning. | Zhenni Bi, Kai Han, Chuanjian Liu, Yehui Tang, Yunhe Wang |
| 2025 | ICML | SlimLLM: Accurate Structured Pruning for Large Language Models. | Jialong Guo, Xinghao Chen, Yehui Tang, Yunhe Wang |
| 2025 | ICML | Mixture of Lookup Experts. | Shibo Jie, Yehui Tang, Kai Han, Yitong Li, Duyu Tang, Zhi-Hong Deng, Yunhe Wang |
| 2025 | NAACL | DenseSSM: State Space Models with Dense Hidden Connection for Efficient Large Language Models. | Wei He, Kai Han, Yehui Tang, Chengcheng Wang, Yujie Yang, Tianyu Guo, Yunhe Wang |
| 2025 | NAACL | CFinBench: A Comprehensive Chinese Financial Benchmark for Large Language Models. | Ying Nie, Binwei Yan, Tianyu Guo, Hao Liu, Haoyu Wang, Wei He, Binfan Zheng, Weihao Wang, Qiang Li, Weijian Sun, Yunhe Wang, Dacheng Tao |
| 2025 | NAACL | EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models. | Yunsheng Ni, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang |
| 2025 | WWW | GPT4Image: Large Pre-trained Models Help Vision Models Learn Better on Perception Task. | Ning Ding, Yehui Tang, Zhongqian Fu, Chao Xu, Kai Han, Yunhe Wang |
| 2024 | CVPR | ParameterNet: Parameters are All You Need for Large-Scale Visual Pretraining of Mobile Networks. | Kai Han, Yunhe Wang, Jianyuan Guo, Enhua Wu |
| 2024 | CVPR | An Empirical Study of Scaling Law for Scene Text Recognition. | Miao Rang, Zhenni Bi, Chuanjian Liu, Yunhe Wang, Kai Han |
| 2024 | CVPR | Image Processing GNN: Breaking Rigidity in Super-Resolution. | Yuchuan Tian, Hanting Chen, Chao Xu, Yunhe Wang |
| 2024 | CVPR | 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 |
| 2024 | CVPR | 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 |
| 2024 | ECCV | Token Compensator: Altering Inference Cost of Vision Transformer Without Re-tuning. | Shibo Jie, Yehui Tang, Jianyuan Guo, Zhi-Hong Deng, Kai Han, Yunhe Wang |
| 2024 | ECCV | Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation. | Zhenliang Ni, Xinghao Chen, Yingjie Zhai, Yehui Tang, Yunhe Wang |
| 2024 | ECCV | Adapt Without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models. | Mengyu Zheng, Yehui Tang, Zhiwei Hao, Kai Han, Yunhe Wang, Chang Xu |
| 2024 | ICASSP | A Robust Audio Deepfake Detection System via Multi-View Feature. | Yujie Yang, Haochen Qin, Hang Zhou, Chengcheng Wang, Tianyu Guo, Kai Han, Yunhe Wang |
| 2024 | ICLR | Multiscale Positive-Unlabeled Detection of AI-Generated Texts. | Yuchuan Tian, Hanting Chen, Xutao Wang, Zheyuan Bai, Qinghua Zhang, Ruifeng Li, Chao Xu, Yunhe Wang |
| 2024 | ICML | DiJiang: Efficient Large Language Models through Compact Kernelization. | Hanting Chen, Liuzhi Cheng, Xutao Wang, Yuchuan Tian, Yunhe Wang |
| 2024 | ICML | SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization. | Jialong Guo, Xinghao Chen, Yehui Tang, Yunhe Wang |
| 2024 | ICML | Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning. | Shibo Jie, Yehui Tang, Ning Ding, Zhi-Hong Deng, Kai Han, Yunhe Wang |
| 2024 | ICML | ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking. | Wenshuo Li, Xinghao Chen, Han Shu, Yehui Tang, Yunhe Wang |
| 2024 | ICML | 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 |
| 2023 | CVPR | Network Expansion For Practical Training Acceleration. | Ning Ding, Yehui Tang, Kai Han, Chao Xu, Yunhe Wang |
| 2023 | CVPR | RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis. | Xudong Huang, Wei Li, Jie Hu, Hanting Chen, Yunhe Wang |
| 2023 | CVPR | 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 |
| 2023 | CVPR | Toward Accurate Post-Training Quantization for Image Super Resolution. | Zhijun Tu, Jie Hu, Hanting Chen, Yunhe Wang |
| 2023 | CVPR | Masked Image Modeling with Local Multi-Scale Reconstruction. | Haoqing Wang, Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhi-Hong Deng, Kai Han |
| 2023 | ICCV | Less is More: Focus Attention for Efficient DETR. | Dehua Zheng, Wenhui Dong, Hailin Hu, Xinghao Chen, Yunhe Wang |
| 2023 | Interspeech | GhostRNN: Reducing State Redundancy in RNN with Cheap Operations. | Hang Zhou, Xiaoxu Zheng, Yunhe Wang, Michael Bi Mi, Deyi Xiong, Kai Han |
| 2022 | AAAI | ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations. | Zhuohan Yu, Yifu Lu, Yunhe Wang, Fan Tang, Ka-Chun Wong, Xiangtao Li |
| 2022 | CVPR | Multimodal Token Fusion for Vision Transformers. | Yikai Wang, Xinghao Chen, Lele Cao, Wenbing Huang, Fuchun Sun, Yunhe Wang |
| 2022 | CVPR | Instance-Aware Dynamic Neural Network Quantization. | Zhenhua Liu, Yunhe Wang, Kai Han, Siwei Ma, Wen Gao |
| 2022 | CVPR | Source-Free Domain Adaptation via Distribution Estimation. | Ning Ding, Yixing Xu, Yehui Tang, Chao Xu, Yunhe Wang, Dacheng Tao |
| 2022 | CVPR | CMT: Convolutional Neural Networks Meet Vision Transformers. | Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Xinghao Chen, Yunhe Wang, Chang Xu |
| 2022 | CVPR | Hire-MLP: Vision MLP via Hierarchical Rearrangement. | Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang |
| 2022 | CVPR | Searching for Energy-Efficient Hybrid Adder-Convolution Neural Networks. | Wenshuo Li, Xinghao Chen, Jinyu Bai, Xuefei Ning, Yunhe Wang |
| 2022 | CVPR | Brain-inspired Multilayer Perceptron with Spiking Neurons. | Wenshuo Li, Hanting Chen, Jianyuan Guo, Ziyang Zhang, Yunhe Wang |
| 2022 | CVPR | Network Amplification with Efficient MACs Allocation. | Chuanjian Liu, Kai Han, An Xiao, Ying Nie, Wei Zhang, Yunhe Wang |
| 2022 | CVPR | Patch Slimming for Efficient Vision Transformers. | Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao |
| 2022 | CVPR | An Image Patch is a Wave: Phase-Aware Vision MLP. | Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Yanxi Li, Chao Xu, Yunhe Wang |
| 2022 | ECCV | AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets. | Zhijun Tu, Xinghao Chen, Pengju Ren, Yunhe Wang |
| 2022 | ICML | Spatial-Channel Token Distillation for Vision MLPs. | Yanxi Li, Xinghao Chen, Minjing Dong, Yehui Tang, Yunhe Wang, Chang Xu |
| 2022 | ICML | Federated Learning with Positive and Unlabeled Data. | Xinyang Lin, Hanting Chen, Yixing Xu, Chao Xu, Xiaolin Gui, Yiping Deng, Yunhe Wang |
| 2021 | AAAI | One-shot Graph Neural Architecture Search with Dynamic Search Space. | Yanxi Li, Zean Wen, Yunhe Wang, Chang Xu |
| 2021 | AAAI | Adversarial Robustness through Disentangled Representations. | Shuo Yang, Tianyu Guo, Yunhe Wang, Chang Xu |
| 2021 | BMVC | Multi-bit Adaptive Distillation for Binary Neural Networks. | Ying Nie, Kai Han, Yunhe Wang |
| 2021 | CVPR | 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 |
| 2021 | CVPR | Learning Student Networks in the Wild. | Hanting Chen, Tianyu Guo, Chang Xu, Wenshuo Li, Chunjing Xu, Chao Xu, Yunhe Wang |
| 2021 | CVPR | Distilling Object Detectors via Decoupled Features. | Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu |
| 2021 | CVPR | 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 |
| 2021 | CVPR | AdderSR: Towards Energy Efficient Image Super-Resolution. | Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao |
| 2021 | CVPR | Manifold Regularized Dynamic Network Pruning. | Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu |
| 2021 | CVPR | ReNAS: Relativistic Evaluation of Neural Architecture Search. | Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu |
| 2021 | CVPR | 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 |
| 2021 | CVPR | Data-Free Knowledge Distillation for Image Super-Resolution. | Yiman Zhang, Hanting Chen, Xinghao Chen, Yiping Deng, Chunjing Xu, Yunhe Wang |
| 2021 | ICCV | Learning Frequency-aware Dynamic Network for Efficient Super-Resolution. | Wenbin Xie, Dehua Song, Chang Xu, Chunjing Xu, Hui Zhang, Yunhe Wang |
| 2021 | ICML | Winograd Algorithm for AdderNet. | Wenshuo Li, Hanting Chen, Mingqiang Huang, Xinghao Chen, Chunjing Xu, Yunhe Wang |
| 2020 | AAAI | Distilling Portable Generative Adversarial Networks for Image Translation. | Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu |
| 2020 | AAAI | Efficient Residual Dense Block Search for Image Super-Resolution. | Dehua Song, Chang Xu, Xu Jia, Yiyi Chen, Chunjing Xu, Yunhe Wang |
| 2020 | AAAI | Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks. | Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu |
| 2020 | CVPR | Frequency Domain Compact 3D Convolutional Neural Networks. | Hanting Chen, Yunhe Wang, Han Shu, Yehui Tang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu |
| 2020 | CVPR | AdderNet: Do We Really Need Multiplications in Deep Learning? | Hanting Chen, Yunhe Wang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu |
| 2020 | CVPR | Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection. | Jianyuan Guo, Kai Han, Yunhe Wang, Chao Zhang, Zhaohui Yang, Han Wu, Xinghao Chen, Chang Xu |
| 2020 | CVPR | On Positive-Unlabeled Classification in GAN. | Tianyu Guo, Chang Xu, Jiajun Huang, Yunhe Wang, Boxin Shi, Chao Xu, Dacheng Tao |
| 2020 | CVPR | GhostNet: More Features From Cheap Operations. | Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu |
| 2020 | CVPR | A Semi-Supervised Assessor of Neural Architectures. | Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu |
| 2020 | CVPR | CARS: Continuous Evolution for Efficient Neural Architecture Search. | Zhaohui Yang, Yunhe Wang, Xinghao Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu |
| 2020 | ECCV | Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer. | Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing Xu, Chang Xu |
| 2020 | ICML | Training Binary Neural Networks through Learning with Noisy Supervision. | Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu |
| 2020 | ICML | Neural Architecture Search in A Proxy Validation Loss Landscape. | Yanxi Li, Minjing Dong, Yunhe Wang, Chang Xu |
| 2020 | IJCAI | DropNAS: Grouped Operation Dropout for Differentiable Architecture Search. | Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu |
| 2019 | ICASSP | Low-resolution Visual Recognition via Deep Feature Distillation. | Mingjian Zhu, Kai Han, Chao Zhang, Jinlong Lin, Yunhe Wang |
| 2019 | ICCV | Data-Free Learning of Student Networks. | Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian |
| 2019 | ICCV | Co-Evolutionary Compression for Unpaired Image Translation. | Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu |
| 2019 | ICML | LegoNet: Efficient Convolutional Neural Networks with Lego Filters. | Zhaohui Yang, Yunhe Wang, Chuanjian Liu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu |
| 2019 | IJCAI | Crafting Efficient Neural Graph of Large Entropy. | Minjing Dong, Hanting Chen, Yunhe Wang, Chang Xu |
| 2019 | IJCAI | Attribute Aware Pooling for Pedestrian Attribute Recognition. | Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu |
| 2019 | IJCAI | Learning Instance-wise Sparsity for Accelerating Deep Models. | Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu |
| 2018 | AAAI | Adversarial Learning of Portable Student Networks. | Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao |
| 2018 | ICASSP | Autoencoder Inspired Unsupervised Feature Selection. | Kai Han, Yunhe Wang, Chao Zhang, Chao Li, Chao Xu |
| 2018 | KDD | Towards Evolutionary Compression. | Yunhe Wang, Chang Xu, Jiayan Qiu, Chao Xu, Dacheng Tao |
| 2017 | AAAI | Beyond RPCA: Flattening Complex Noise in the Frequency Domain. | Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao |
| 2017 | ICML | Beyond Filters: Compact Feature Map for Portable Deep Model. | Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao |
| 2017 | IJCAI | Privileged Multi-label Learning. | Shan You, Chang Xu, Yunhe Wang, Chao Xu, Dacheng Tao |
| 2010 | TASE | Property Checking for 1-Place-Unbounded Petri Nets. | Yunhe Wang, Bo Jiang, Li Jiao |