CNNpack: Packing Convolutional Neural Networks in the Frequency Domain. - Yunhe Wang 001; Chang Xu 002; Shan You; Dacheng Tao; Chao Xu 006 (NIPS, 2016)

Parts for the Whole: The DCT Norm for Extreme Visual Recovery. - Yunhe Wang 001; Chang Xu 002; Shan You; Dacheng Tao; Chao Xu 006 (CoRR, 2016)

Streaming Label Learning for Modeling Labels on the Fly. - Shan You; Chang Xu 002; Yunhe Wang 001; Chao Xu 006; Dacheng Tao (CoRR, 2016)

DCT Inspired Feature Transform for Image Retrieval and Reconstruction. - Yunhe Wang 001; Miaojing Shi; Shan You; Chao Xu 006 (IEEE Trans. Image Process., 2016)

Beyond RPCA: Flattening Complex Noise in the Frequency Domain. - Yunhe Wang 001; Chang Xu 002; Chao Xu 006; Dacheng Tao (AAAI, 2017)

Beyond Filters: Compact Feature Map for Portable Deep Model. - Yunhe Wang 001; Chang Xu 002; Chao Xu 006; Dacheng Tao (ICML, 2017)

Privileged Multi-label Learning. - Shan You; Chang Xu 002; Yunhe Wang 001; Chao Xu 006; Dacheng Tao (IJCAI, 2017)

Towards Evolutional Compression. - Yunhe Wang 001; Chang Xu 002; Jiayan Qiu; Chao Xu 006; Dacheng Tao (CoRR, 2017)

DCT Regularized Extreme Visual Recovery. - Yunhe Wang 001; Chang Xu 002; Shan You; Chao Xu 006; Dacheng Tao (IEEE Trans. Image Process., 2017)

Adversarial Learning of Portable Student Networks. - Yunhe Wang 001; Chang Xu 002; Chao Xu 006; Dacheng Tao (AAAI, 2018)

Autoencoder Inspired Unsupervised Feature Selection. - Kai Han 002; Yunhe Wang 001; Chao Zhang 001; Chao Li; Chao Xu 006 (ICASSP, 2018)

Towards Evolutionary Compression. - Yunhe Wang 001; Chang Xu 002; Jiayan Qiu; Chao Xu 006; Dacheng Tao (KDD, 2018)

Learning Versatile Filters for Efficient Convolutional Neural Networks. - Yunhe Wang 001; Chang Xu 002; Chunjing Xu; Chao Xu 006; Dacheng Tao (NeurIPS, 2018)

Low-resolution Visual Recognition via Deep Feature Distillation. - Mingjian Zhu; Kai Han 002; Chao Zhang 001; Jinlong Lin; Yunhe Wang 001 (ICASSP, 2019)

Data-Free Learning of Student Networks. - Hanting Chen; Yunhe Wang 001; Chang Xu 002; Zhaohui Yang 003; Chuanjian Liu; Boxin Shi; Chunjing Xu; Chao Xu 006; Qi Tian 001 (ICCV, 2019)

Co-Evolutionary Compression for Unpaired Image Translation. - Han Shu; Yunhe Wang 001; Xu Jia 012; Kai Han 002; Hanting Chen; Chunjing Xu; Qi Tian 001; Chang Xu 002 (ICCV, 2019)

Searching for Accurate Binary Neural Architectures. - Mingzhu Shen; Kai Han 002; Chunjing Xu; Yunhe Wang 001 (ICCV Workshops, 2019)

LegoNet: Efficient Convolutional Neural Networks with Lego Filters. - Zhaohui Yang 003; Yunhe Wang 001; Chuanjian Liu; Hanting Chen; Chunjing Xu; Boxin Shi; Chao Xu 006; Chang Xu 002 (ICML, 2019)

Crafting Efficient Neural Graph of Large Entropy. - Minjing Dong; Hanting Chen; Yunhe Wang 001; Chang Xu 002 (IJCAI, 2019)

Attribute Aware Pooling for Pedestrian Attribute Recognition. - Kai Han 002; Yunhe Wang 001; Han Shu; Chuanjian Liu; Chunjing Xu; Chang Xu 002 (IJCAI, 2019)

Learning Instance-wise Sparsity for Accelerating Deep Models. - Chuanjian Liu; Yunhe Wang 001; Kai Han 002; Chunjing Xu; Chang Xu 002 (IJCAI, 2019)

Positive-Unlabeled Compression on the Cloud. - Yixing Xu; Yunhe Wang 001; Hanting Chen; Kai Han 002; Chunjing Xu; Dacheng Tao; Chang Xu 002 (NeurIPS, 2019)

Full-Stack Filters to Build Minimum Viable CNNs. - Kai Han 002; Yunhe Wang 001; Yixing Xu; Chunjing Xu; Dacheng Tao; Chang Xu 002 (CoRR, 2019)

Balanced Binary Neural Networks with Gated Residual. - Mingzhu Shen; Xianglong Liu 001; Kai Han 002; Ruihao Gong; Yunhe Wang 001; Chang Xu 002 (CoRR, 2019)

RNAS: Architecture Ranking for Powerful Networks. - Yixing Xu; Yunhe Wang 001; Kai Han 002; Hanting Chen; Yehui Tang; Shangling Jui; Chunjing Xu; Qi Tian 001; Chang Xu 002 (CoRR, 2019)

Packing Convolutional Neural Networks in the Frequency Domain. - Yunhe Wang 001; Chang Xu 002; Chao Xu 006; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Distilling Portable Generative Adversarial Networks for Image Translation. - Hanting Chen; Yunhe Wang 001; Han Shu; Changyuan Wen; Chunjing Xu; Boxin Shi; Chao Xu 006; Chang Xu 002 (AAAI, 2020)

Efficient Residual Dense Block Search for Image Super-Resolution. - Dehua Song; Chang Xu 002; Xu Jia 012; Yiyi Chen 003; Chunjing Xu; Yunhe Wang 001 (AAAI, 2020)

Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks. - Yehui Tang; Yunhe Wang 001; Yixing Xu; Boxin Shi; Chao Xu 006; Chunjing Xu; Chang Xu 002 (AAAI, 2020)

Frequency Domain Compact 3D Convolutional Neural Networks. - Hanting Chen; Yunhe Wang 001; Han Shu; Yehui Tang; Chunjing Xu; Boxin Shi; Chao Xu 006; Qi Tian 001; Chang Xu 002 (CVPR, 2020)

AdderNet: Do We Really Need Multiplications in Deep Learning? - Hanting Chen; Yunhe Wang 001; Chunjing Xu; Boxin Shi; Chao Xu 006; Qi Tian 001; Chang Xu 002 (CVPR, 2020)

Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection. - Jianyuan Guo; Kai Han 002; Yunhe Wang 001; Chao Zhang 001; Zhaohui Yang 003; Han Wu 009; Xinghao Chen 001; Chang Xu 002 (CVPR, 2020)

On Positive-Unlabeled Classification in GAN. - Tianyu Guo 001; Chang Xu 002; Jiajun Huang; Yunhe Wang 001; Boxin Shi; Chao Xu 006; Dacheng Tao (CVPR, 2020)

GhostNet: More Features From Cheap Operations. - Kai Han 002; Yunhe Wang 001; Qi Tian 001; Jianyuan Guo; Chunjing Xu; Chang Xu 002 (CVPR, 2020)

A Semi-Supervised Assessor of Neural Architectures. - Yehui Tang; Yunhe Wang 001; Yixing Xu; Hanting Chen; Boxin Shi; Chao Xu 006; Chunjing Xu; Qi Tian 001; Chang Xu 002 (CVPR, 2020)

CARS: Continuous Evolution for Efficient Neural Architecture Search. - Zhaohui Yang 003; Yunhe Wang 001; Xinghao Chen 001; Boxin Shi; Chao Xu 006; Chunjing Xu; Qi Tian 001; Chang Xu 002 (CVPR, 2020)

Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer. - Xinghao Chen 001; Yiman Zhang; Yunhe Wang 001; Han Shu; Chunjing Xu; Chang Xu 002 (ECCV (6), 2020)

Training Binary Neural Networks through Learning with Noisy Supervision. - Kai Han 002; Yunhe Wang 001; Yixing Xu; Chunjing Xu; Enhua Wu; Chang Xu 002 (ICML, 2020)

Neural Architecture Search in A Proxy Validation Loss Landscape. - Yanxi Li 001; Minjing Dong; Yunhe Wang 001; Chang Xu 002 (ICML, 2020)

DropNAS: Grouped Operation Dropout for Differentiable Architecture Search. - Weijun Hong; Guilin Li 001; Weinan Zhang 001; Ruiming Tang; Yunhe Wang 001; Zhenguo Li; Yong Yu 001 (IJCAI, 2020)

Discernible Image Compression. - Zhaohui Yang 003; Yunhe Wang 001; Chang Xu 002; Peng Du; Chao Xu 006; Chunjing Xu; Qi Tian 001 (ACM Multimedia, 2020)

Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets. - Kai Han 002; Yunhe Wang 001; Qiulin Zhang; Wei Zhang 196; Chunjing Xu; Tong Zhang 001 (NeurIPS, 2020)

Adapting Neural Architectures Between Domains. - Yanxi Li 001; Zhaohui Yang 003; Yunhe Wang 001; Chang Xu 002 (NeurIPS, 2020)

Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts. - Guilin Li 001; Junlei Zhang; Yunhe Wang 001; Chuanjian Liu; Matthias Tan; Yunfeng Lin; Wei Zhang 196; Jiashi Feng; Tong Zhang 001 (NeurIPS, 2020)

SCOP: Scientific Control for Reliable Neural Network Pruning. - Yehui Tang; Yunhe Wang 001; Yixing Xu; Dacheng Tao; Chunjing Xu; Chao Xu 006; Chang Xu 002 (NeurIPS, 2020)

Kernel Based Progressive Distillation for Adder Neural Networks. - Yixing Xu; Chang Xu 002; Xinghao Chen 001; Wei Zhang 196; Chunjing Xu; Yunhe Wang 001 (NeurIPS, 2020)

Searching for Low-Bit Weights in Quantized Neural Networks. - Zhaohui Yang 003; Yunhe Wang 001; Kai Han 002; Chunjing Xu; Chao Xu 006; Dacheng Tao; Chang Xu 002 (NeurIPS, 2020)

Widening and Squeezing: Towards Accurate and Efficient QNNs. - Chuanjian Liu; Kai Han 002; Yunhe Wang 001; Hanting Chen; Chunjing Xu; Qi Tian 001 (CoRR, 2020)

Discernible Compressed Images via Deep Perception Consistency. - Zhaohui Yang 003; Yunhe Wang 001; Chao Xu 006; Chang Xu 002 (CoRR, 2020)

Automatically Searching for U-Net Image Translator Architecture. - Han Shu; Yunhe Wang 001 (CoRR, 2020)

HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. - Zhaohui Yang 003; Yunhe Wang 001; Dacheng Tao; Xinghao Chen 001; Jianyuan Guo; Chunjing Xu; Chao Xu 006; Chang Xu 002 (CoRR, 2020)

DC-NAS: Divide-and-Conquer Neural Architecture Search. - Yunhe Wang 001; Yixing Xu; Dacheng Tao (CoRR, 2020)

Multi-Task Pruning for Semantic Segmentation Networks. - Xinghao Chen 001; Yunhe Wang 001; Yiman Zhang; Peng Du; Chunjing Xu; Chang Xu 002 (CoRR, 2020)

VEGA: Towards an End-to-End Configurable AutoML Pipeline. - Bochao Wang; Hang Xu 004; Jiajin Zhang; Chen Chen 077; Yixing Xu; Xiaozhi Fang; Ning Kang 001; Lanqing Hong; Chenhan Jiang; Xinyue Cai; Jiawei Li; Fengwei Zhou; et al. (CoRR, 2020)

Dynamic Feature Pyramid Networks for Object Detection. - Mingjian Zhu; Kai Han 002; Changbin Yu; Yunhe Wang 001 (CoRR, 2020)

A Survey on Visual Transformer. - Kai Han 002; Yunhe Wang 001; Hanting Chen; Xinghao Chen 001; Jianyuan Guo; Zhenhua Liu 003; Yehui Tang; An Xiao; Chunjing Xu; Yixing Xu; Zhaohui Yang 003; Yiman Zhang; et al. (CoRR, 2020)

One-shot Graph Neural Architecture Search with Dynamic Search Space. - Yanxi Li 001; Zean Wen; Yunhe Wang 001; Chang Xu 002 (AAAI, 2021)

Adversarial Robustness through Disentangled Representations. - Shuo Yang; Tianyu Guo 001; Yunhe Wang 001; Chang Xu 002 (AAAI, 2021)

Multi-bit Adaptive Distillation for Binary Neural Networks. - Ying Nie; Kai Han 002; Yunhe Wang 001 (BMVC, 2021)

Pre-Trained Image Processing Transformer. - Hanting Chen; Yunhe Wang 001; Tianyu Guo 001; Chang Xu 002; Yiping Deng; Zhenhua Liu 003; Siwei Ma; Chunjing Xu; Chao Xu 006; Wen Gao 001 (CVPR, 2021)

Learning Student Networks in the Wild. - Hanting Chen; Tianyu Guo 001; Chang Xu 002; Wenshuo Li; Chunjing Xu; Chao Xu 006; Yunhe Wang 001 (CVPR, 2021)

Distilling Object Detectors via Decoupled Features. - Jianyuan Guo; Kai Han 002; Yunhe Wang 001; Han Wu 009; Xinghao Chen 001; Chunjing Xu; Chang Xu 002 (CVPR, 2021)

Positive-Unlabeled Data Purification in the Wild for Object Detection. - Jianyuan Guo; Kai Han 002; Han Wu 009; Chao Zhang 001; Xinghao Chen 001; Chunjing Xu; Chang Xu 002; Yunhe Wang 001 (CVPR, 2021)

AdderSR: Towards Energy Efficient Image Super-Resolution. - Dehua Song; Yunhe Wang 001; Hanting Chen; Chang Xu 002; Chunjing Xu; Dacheng Tao (CVPR, 2021)

Manifold Regularized Dynamic Network Pruning. - Yehui Tang; Yunhe Wang 001; Yixing Xu; Yiping Deng; Chao Xu 006; Dacheng Tao; Chang Xu 002 (CVPR, 2021)

ReNAS: Relativistic Evaluation of Neural Architecture Search. - Yixing Xu; Yunhe Wang 001; Kai Han 002; Yehui Tang; Shangling Jui; Chunjing Xu; Chang Xu 002 (CVPR, 2021)

HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. - Zhaohui Yang 003; Yunhe Wang 001; Xinghao Chen 001; Jianyuan Guo; Wei Zhang 196; Chao Xu 006; Chunjing Xu; Dacheng Tao; Chang Xu 002 (CVPR, 2021)

Data-Free Knowledge Distillation for Image Super-Resolution. - Yiman Zhang; Hanting Chen; Xinghao Chen 001; Yiping Deng; Chunjing Xu; Yunhe Wang 001 (CVPR, 2021)

Learning Frequency-aware Dynamic Network for Efficient Super-Resolution. - Wenbin Xie; Dehua Song; Chang Xu 002; Chunjing Xu; Hui Zhang 013; Yunhe Wang 001 (ICCV, 2021)

Winograd Algorithm for AdderNet. - Wenshuo Li; Hanting Chen; Mingqiang Huang; Xinghao Chen 001; Chunjing Xu; Yunhe Wang 001 (ICML, 2021)

An Empirical Study of Adder Neural Networks for Object Detection. - Xinghao Chen 001; Chang Xu 002; Minjing Dong; Chunjing Xu; Yunhe Wang 001 (NeurIPS, 2021)

Towards Stable and Robust AdderNets. - Minjing Dong; Yunhe Wang 001; Xinghao Chen 001; Chang Xu 002 (NeurIPS, 2021)

Handling Long-tailed Feature Distribution in AdderNets. - Minjing Dong; Yunhe Wang 001; Xinghao Chen 001; Chang Xu 002 (NeurIPS, 2021)

Transformer in Transformer. - Kai Han 002; An Xiao; Enhua Wu; Jianyuan Guo; Chunjing Xu; Yunhe Wang 001 (NeurIPS, 2021)

Neural Architecture Dilation for Adversarial Robustness. - Yanxi Li 001; Zhaohui Yang 003; Yunhe Wang 001; Chang Xu 002 (NeurIPS, 2021)

Post-Training Quantization for Vision Transformer. - Zhenhua Liu 003; Yunhe Wang 001; Kai Han 002; Wei Zhang 196; Siwei Ma; Wen Gao 001 (NeurIPS, 2021)

Adder Attention for Vision Transformer. - Han Shu; Jiahao Wang; Hanting Chen; Lin Li; Yujiu Yang; Yunhe Wang 001 (NeurIPS, 2021)

Augmented Shortcuts for Vision Transformers. - Yehui Tang; Kai Han 002; Chang Xu 002; An Xiao; Yiping Deng; Chao Xu 006; Yunhe Wang 001 (NeurIPS, 2021)

Learning Frequency Domain Approximation for Binary Neural Networks. - Yixing Xu; Kai Han 002; Chang Xu 002; Yehui Tang; Chunjing Xu; Yunhe Wang 001 (NeurIPS, 2021)

Dynamic Resolution Network. - Mingjian Zhu; Kai Han 002; Enhua Wu; Qiulin Zhang; Ying Nie; Zhenzhong Lan; Yunhe Wang 001 (NeurIPS, 2021)

GhostSR: Learning Ghost Features for Efficient Image Super-Resolution. - Ying Nie; Kai Han 002; Zhenhua Liu 003; An Xiao; Yiping Deng; Chunjing Xu; Yunhe Wang 001 (CoRR, 2021)

AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence. - Yunhe Wang 001; Mingqiang Huang; Kai Han 002; Hanting Chen; Wei Zhang 196; Chunjing Xu; Dacheng Tao (CoRR, 2021)

Visual Transformer Pruning. - Mingjian Zhu; Kai Han 002; Yehui Tang; Yunhe Wang 001 (CoRR, 2021)

Coarse-to-Fine Searching for Efficient Generative Adversarial Networks. - Jiahao Wang; Han Shu; Weihao Xia 001; Yujiu Yang; Yunhe Wang 001 (CoRR, 2021)

Adder Neural Networks. - Hanting Chen; Yunhe Wang 001; Chang Xu 002; Chao Xu 006; Chunjing Xu; Tong Zhang 001 (CoRR, 2021)

Post-Training Quantization for Vision Transformer. - Zhenhua Liu 003; Yunhe Wang 001; Kai Han 002; Siwei Ma; Wen Gao 001 (CoRR, 2021)

Efficient Vision Transformers via Fine-Grained Manifold Distillation. - Ding Jia; Kai Han 002; Yunhe Wang 001; Yehui Tang; Jianyuan Guo; Chao Zhang 001; Dacheng Tao (CoRR, 2021)

CMT: Convolutional Neural Networks Meet Vision Transformers. - Jianyuan Guo; Kai Han 002; Han Wu 009; Chang Xu 002; Yehui Tang; Chunjing Xu; Yunhe Wang 001 (CoRR, 2021)

Greedy Network Enlarging. - Chuanjian Liu; Kai Han 002; An Xiao; Yiping Deng; Wei Zhang 196; Chunjing Xu; Yunhe Wang 001 (CoRR, 2021)

Learning Student Networks via Feature Embedding. - Hanting Chen; Yunhe Wang 001; Chang Xu 002; Chao Xu 006; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2021)

Multimodal Token Fusion for Vision Transformers. - Yikai Wang 001; Xinghao Chen 001; Lele Cao; Wenbing Huang 001; Fuchun Sun 001; Yunhe Wang 001 (CVPR, 2022)

Instance-Aware Dynamic Neural Network Quantization. - Zhenhua Liu 003; Yunhe Wang 001; Kai Han 002; Siwei Ma; Wen Gao 001 (CVPR, 2022)

Source-Free Domain Adaptation via Distribution Estimation. - Ning Ding; Yixing Xu; Yehui Tang; Chao Xu 006; Yunhe Wang 001; Dacheng Tao (CVPR, 2022)

CMT: Convolutional Neural Networks Meet Vision Transformers. - Jianyuan Guo; Kai Han 002; Han Wu 009; Yehui Tang; Xinghao Chen 001; Yunhe Wang 001; Chang Xu 002 (CVPR, 2022)

Hire-MLP: Vision MLP via Hierarchical Rearrangement. - Jianyuan Guo; Yehui Tang; Kai Han 002; Xinghao Chen 001; Han Wu 009; Chao Xu 006; Chang Xu 002; Yunhe Wang 001 (CVPR, 2022)

Searching for Energy-Efficient Hybrid Adder-Convolution Neural Networks. - Wenshuo Li; Xinghao Chen 001; Jinyu Bai; Xuefei Ning; Yunhe Wang 001 (CVPR Workshops, 2022)

Brain-inspired Multilayer Perceptron with Spiking Neurons. - Wenshuo Li; Hanting Chen; Jianyuan Guo; Ziyang Zhang; Yunhe Wang 001 (CVPR, 2022)

Network Amplification with Efficient MACs Allocation. - Chuanjian Liu; Kai Han 002; An Xiao; Ying Nie; Wei Zhang 196; Yunhe Wang 001 (CVPR Workshops, 2022)

Patch Slimming for Efficient Vision Transformers. - Yehui Tang; Kai Han 002; Yunhe Wang 001; Chang Xu 002; Jianyuan Guo; Chao Xu 006; Dacheng Tao (CVPR, 2022)

An Image Patch is a Wave: Phase-Aware Vision MLP. - Yehui Tang; Kai Han 002; Jianyuan Guo; Chang Xu 002; Yanxi Li 001; Chao Xu 006; Yunhe Wang 001 (CVPR, 2022)

AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets. - Zhijun Tu; Xinghao Chen 001; Pengju Ren; Yunhe Wang 001 (ECCV (11), 2022)

MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks. - Xinghao Chen 001; Yiman Zhang; Yunhe Wang 001 (ICME, 2022)

MaskGroup: Hierarchical Point Grouping and Masking for 3D Instance Segmentation. - Min Zhong; Xinghao Chen 001; Xiaokang Chen; Gang Zeng; Yunhe Wang 001 (ICME, 2022)

Spatial-Channel Token Distillation for Vision MLPs. - Yanxi Li 001; Xinghao Chen 001; Minjing Dong; Yehui Tang; Yunhe Wang 001; Chang Xu 002 (ICML, 2022)

Federated Learning with Positive and Unlabeled Data. - Xinyang Lin; Hanting Chen; Yixing Xu; Chao Xu 006; Xiaolin Gui; Yiping Deng; Yunhe Wang 001 (ICML, 2022)

Vision GNN: An Image is Worth Graph of Nodes. - Kai Han 002; Yunhe Wang 001; Jianyuan Guo; Yehui Tang; Enhua Wu (NeurIPS, 2022)

Bridge the Gap Between Architecture Spaces via A Cross-Domain Predictor. - Yuqiao Liu 002; Yehui Tang; Zeqiong Lv; Yunhe Wang 001; Yanan Sun 001 (NeurIPS, 2022)

Random Normalization Aggregation for Adversarial Defense. - Minjing Dong; Xinghao Chen 001; Yunhe Wang 001; Chang Xu 002 (NeurIPS, 2022)

Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation. - Zhiwei Hao; Jianyuan Guo; Ding Jia; Kai Han 002; Yehui Tang; Chao Zhang 001; Han Hu 001; Yunhe Wang 001 (NeurIPS, 2022)

A Transformer-Based Object Detector with Coarse-Fine Crossing Representations. - Zhishan Li; Ying Nie; Kai Han 002; Jianyuan Guo; Lei Xie; Yunhe Wang 001 (NeurIPS, 2022)

Redistribution of Weights and Activations for AdderNet Quantization. - Ying Nie; Kai Han 002; Haikang Diao; Chuanjian Liu; Enhua Wu; Yunhe Wang 001 (NeurIPS, 2022)

Accelerating Sparse Convolution with Column Vector-Wise Sparsity. - Yijun Tan; Kai Han 002; Kang Zhao; Xianzhi Yu; Zidong Du; Yunji Chen; Yunhe Wang 001; Jun Yao (NeurIPS, 2022)

GhostNetV2: Enhance Cheap Operation with Long-Range Attention. - Yehui Tang; Kai Han 002; Jianyuan Guo; Chang Xu 002; Chao Xu 006; Yunhe Wang 001 (NeurIPS, 2022)

BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons. - Yixing Xu; Xinghao Chen 001; Yunhe Wang 001 (NeurIPS, 2022)

PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid Architecture. - Kai Han 002; Jianyuan Guo; Yehui Tang; Yunhe Wang 001 (CoRR, 2022)

FastMIM: Expediting Masked Image Modeling Pre-training for Vision. - Jianyuan Guo; Kai Han 002; Han Wu 009; Yehui Tang; Yunhe Wang 001; Chang Xu 002 (CoRR, 2022)

GhostNets on Heterogeneous Devices via Cheap Operations. - Kai Han 002; Yunhe Wang 001; Chang Xu 002; Jianyuan Guo; Chunjing Xu; Enhua Wu; Qi Tian 001 (Int. J. Comput. Vis., 2022)

Neural architecture tuning with policy adaptation. - Yanxi Li 001; Minjing Dong; Yixing Xu; Yunhe Wang 001; Chang Xu 002 (Neurocomputing, 2022)

Learning Versatile Convolution Filters for Efficient Visual Recognition. - Kai Han 002; Yunhe Wang 001; Chang Xu 002; Chunjing Xu; Enhua Wu; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

GhostSR: Learning Ghost Features for Efficient Image Super-Resolution. - Ying Nie; Kai Han 002; Zhenhua Liu 003; Chuanjian Liu; Yunhe Wang 001 (Trans. Mach. Learn. Res., 2022)

Network Expansion For Practical Training Acceleration. - Ning Ding; Yehui Tang; Kai Han 002; Chao Xu 006; Yunhe Wang 001 (CVPR, 2023)

RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis. - Xudong Huang; Wei Li 002; Jie Hu 021; Hanting Chen; Yunhe Wang 001 (CVPR, 2023)

NTIRE 2023 Challenge on Image Denoising: Methods and Results. - Yawei Li 001; Yulun Zhang 001; Radu Timofte; Luc Van Gool; Zhijun Tu; Kunpeng Du; Hailing Wang; Hanting Chen; Wei Li 002; Xiaofei Wang; Jie Hu 021; Yunhe Wang 001; et al. (CVPR Workshops, 2023)

Toward Accurate Post-Training Quantization for Image Super Resolution. - Zhijun Tu; Jie Hu 021; Hanting Chen; Yunhe Wang 001 (CVPR, 2023)

Masked Image Modeling with Local Multi-Scale Reconstruction. - Haoqing Wang; Yehui Tang; Yunhe Wang 001; Jianyuan Guo; Zhi-Hong Deng 001; Kai Han 002 (CVPR, 2023)

Less is More: Focus Attention for Efficient DETR. - Dehua Zheng; Wenhui Dong; Hailin Hu 002; Xinghao Chen 001; Yunhe Wang 001 (ICCV, 2023)

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations. - Hang Zhou; Xiaoxu Zheng; Yunhe Wang 001; Michael Bi Mi; Deyi Xiong; Kai Han 002 (INTERSPEECH, 2023)

VanillaNet: the Power of Minimalism in Deep Learning. - Hanting Chen; Yunhe Wang 001; Jianyuan Guo; Dacheng Tao (NeurIPS, 2023)

Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale. - Zhiwei Hao; Jianyuan Guo; Kai Han 002; Han Hu 001; Chang Xu 002; Yunhe Wang 001 (NeurIPS, 2023)

One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation. - Zhiwei Hao; Jianyuan Guo; Kai Han 002; Yehui Tang; Han Hu 001; Yunhe Wang 001; Chang Xu 002 (NeurIPS, 2023)

Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition. - Wei He 001; Kai Han 002; Ying Nie; Chengcheng Wang; Yunhe Wang 001 (NeurIPS, 2023)

When Visual Prompt Tuning Meets Source-Free Domain Adaptive Semantic Segmentation. - Xinhong Ma; Yiming Wang; Hao Liu; Tianyu Guo 001; Yunhe Wang 001 (NeurIPS, 2023)

Towards Higher Ranks via Adversarial Weight Pruning. - Yuchuan Tian; Hanting Chen; Tianyu Guo 001; Chao Xu 006; Yunhe Wang 001 (NeurIPS, 2023)

PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference. - Xutao Wang; Hanting Chen; Tianyu Guo 001; Yunhe Wang 001 (NeurIPS, 2023)

Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism. - Chengcheng Wang; Wei He 001; Ying Nie; Jianyuan Guo; Chuanjian Liu; Yunhe Wang 001; Kai Han 002 (NeurIPS, 2023)

GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image. - Mingjian Zhu; Hanting Chen; Qiangyu Yan; Xudong Huang; Guanyu Lin; Wei Li 002; Zhijun Tu; Hailin Hu 002; Jie Hu 021; Yunhe Wang 001 (NeurIPS, 2023)

VanillaKD: Revisit the Power of Vanilla Knowledge Distillation from Small Scale to Large Scale. - Zhiwei Hao; Jianyuan Guo; Kai Han 002; Han Hu 001; Chang Xu 002; Yunhe Wang 001 (CoRR, 2023)

GPT4Image: Can Large Pre-trained Models Help Vision Models on Perception Tasks? - Ning Ding; Yehui Tang; Zhongqian Fu; Chao Xu 006; Kai Han 002; Yunhe Wang 001 (CoRR, 2023)

Category Feature Transformer for Semantic Segmentation. - Quan Tang 001; Chuanjian Liu; Fagui Liu; Yifan Liu 001; Jun Jiang 003; Bowen Zhang 009; Kai Han 002; Yunhe Wang 001 (CoRR, 2023)

Data Upcycling Knowledge Distillation for Image Super-Resolution. - Yun Zhang; Wei Li 002; Simiao Li; Jie Hu 021; Hanting Chen; Hailing Wang; Zhijun Tu; Wenjia Wang; Bingyi Jing; Yunhe Wang 001 (CoRR, 2023)

IFT: Image Fusion Transformer for Ghost-free High Dynamic Range Imaging. - Hailing Wang; Wei Li 002; Yuanyuan Xi; Jie Hu 021; Hanting Chen; Longyu Li; Yunhe Wang 001 (CoRR, 2023)

PPT: Token Pruning and Pooling for Efficient Vision Transformers. - Xin-Jian Wu; Fanhu Zeng; Xiudong Wang; Yunhe Wang 001; Xinghao Chen 001 (CoRR, 2023)

Data-Free Distillation of Language Model by Text-to-Text Transfer. - Zheyuan Bai; Xinduo Liu; Hailin Hu 002; Tianyu Guo 001; Qinghua Zhang; Yunhe Wang 001 (CoRR, 2023)

LightCLIP: Learning Multi-Level Interaction for Lightweight Vision-Language Models. - Ying Nie; Wei He 001; Kai Han 002; Yehui Tang; Tianyu Guo 001; Fanyi Du; Yunhe Wang 001 (CoRR, 2023)

GenDet: Towards Good Generalizations for AI-Generated Image Detection. - Mingjian Zhu; Hanting Chen; Mouxiao Huang; Wei Li 002; Hailin Hu 002; Jie Hu 021; Yunhe Wang 001 (CoRR, 2023)

DECO: Query-Based End-to-End Object Detection with ConvNets. - Xinghao Chen 001; Siwei Li; Yijing Yang; Yunhe Wang 001 (CoRR, 2023)

PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation. - Yunhe Wang 001; Hanting Chen; Yehui Tang; Tianyu Guo 001; Kai Han 002; Ying Nie; Xutao Wang; Hailin Hu 002; Zheyuan Bai; Yun Wang; Fangcheng Liu; Zhicheng Liu 001; et al. (CoRR, 2023)

A Survey on Vision Transformer. - Kai Han 002; Yunhe Wang 001; Hanting Chen; Xinghao Chen 001; Jianyuan Guo; Zhenhua Liu 003; Yehui Tang; An Xiao; Chunjing Xu; Yixing Xu; Zhaohui Yang 003; Yiman Zhang; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Improving Lightweight AdderNet via Distillation From ℓ2 to ℓ1-norm. - Minjing Dong; Xinghao Chen 001; Yunhe Wang 001; Chang Xu 002 (IEEE Trans. Image Process., 2023)

Deep Plug-and-Play Clustering with Unknown Number of Clusters. - An Xiao; Hanting Chen; Tianyu Guo 001; Qinghua Zhang; Yunhe Wang 001 (Trans. Mach. Learn. Res., 2023)

Complementary Sparsity: Accelerating Sparse CNNs with High Accuracy on General-Purpose Computing Platforms. - Kang Zhao; Yijun Tan; Kai Han 002; Ting Hu; Hanting Chen; Tao Yuan; Yunhe Wang 001; Jun Yao (Trans. Mach. Learn. Res., 2023)

Adversarial Recurrent Time Series Imputation. - Shuo Yang; Minjing Dong; Yunhe Wang 001; Chang Xu 002 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Neural Architecture Search via Proxy Validation. - Yanxi Li 001; Minjing Dong; Yunhe Wang 001; Chang Xu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

ParameterNet: Parameters are All You Need for Large-Scale Visual Pretraining of Mobile Networks. - Kai Han 002; Yunhe Wang 001; Jianyuan Guo; Enhua Wu (CVPR, 2024)

An Empirical Study of Scaling Law for Scene Text Recognition. - Miao Rang; Zhenni Bi; Chuanjian Liu; Yunhe Wang 001; Kai Han 002 (CVPR, 2024)

Image Processing GNN: Breaking Rigidity in Super-Resolution. - Yuchuan Tian; Hanting Chen; Chao Xu 006; Yunhe Wang 001 (CVPR, 2024)

Distilling Semantic Priors from SAM to Efficient Image Restoration Models. - Quan Zhang; Xiaoyu Liu; Wei Li 002; Hanting Chen; Junchao Liu; Jie Hu 021; Zhiwei Xiong; Chun Yuan; Yunhe Wang 001 (CVPR, 2024)

UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularity. - Jialong Zuo; Hanyu Zhou; Ying Nie; Feng Zhang 039; Tianyu Guo 001; Nong Sang; Yunhe Wang 001; Changxin Gao (CVPR, 2024)

Token Compensator: Altering Inference Cost of Vision Transformer Without Re-tuning. - Shibo Jie; Yehui Tang; Jianyuan Guo; Zhi-Hong Deng 001; Kai Han 002; Yunhe Wang 001 (ECCV (16), 2024)

Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation. - Zhenliang Ni; Xinghao Chen 001; Yingjie Zhai; Yehui Tang; Yunhe Wang 001 (ECCV (52), 2024)

Adapt Without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models. - Mengyu Zheng; Yehui Tang; Zhiwei Hao; Kai Han 002; Yunhe Wang 001; Chang Xu 002 (ECCV (54), 2024)

A Robust Audio Deepfake Detection System via Multi-View Feature. - Yujie Yang; Haochen Qin; Hang Zhou; Chengcheng Wang; Tianyu Guo 001; Kai Han 002; Yunhe Wang 001 (ICASSP, 2024)

Multiscale Positive-Unlabeled Detection of AI-Generated Texts. - Yuchuan Tian; Hanting Chen; Xutao Wang; Zheyuan Bai; Qinghua Zhang; Ruifeng Li; Chao Xu 006; Yunhe Wang 001 (ICLR, 2024)

DiJiang: Efficient Large Language Models through Compact Kernelization. - Hanting Chen; Liuzhi Cheng; Xutao Wang; Yuchuan Tian; Yunhe Wang 001 (ICML, 2024)

SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization. - Jialong Guo; Xinghao Chen 001; Yehui Tang; Yunhe Wang 001 (ICML, 2024)

Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning. - Shibo Jie; Yehui Tang; Ning Ding; Zhi-Hong Deng 001; Kai Han 002; Yunhe Wang 001 (ICML, 2024)

ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking. - Wenshuo Li; Xinghao Chen 001; Han Shu; Yehui Tang; Yunhe Wang 001 (ICML, 2024)

Rethinking Optimization and Architecture for Tiny Language Models. - Yehui Tang; Kai Han 002; Fangcheng Liu; Yunsheng Ni; Yuchuan Tian; Zheyuan Bai; Yi-Qi Hu; Sichao Liu; Shangling Jui; Yunhe Wang 001 (ICML, 2024)

MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers. - Ning Ding; Yehui Tang; Haochen Qin; Zhenli Zhou; Chao Xu 006; Lin Li; Kai Han 002; Heng Liao; Yunhe Wang 001 (NeurIPS, 2024)

Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting. - Fangcheng Liu; Yehui Tang; Zhenhua Liu 003; Yunsheng Ni; Duyu Tang; Kai Han 002; Yunhe Wang 001 (NeurIPS, 2024)

U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers. - Yuchuan Tian; Zhijun Tu; Hanting Chen; Jie Hu 021; Chao Xu 006; Yunhe Wang 001 (NeurIPS, 2024)

Enhancing Large Language Models through Adaptive Tokenizers. - Mengyu Zheng; Hanting Chen; Tianyu Guo 001; Chong Zhu; Binfan Zheng; Chang Xu 002; Yunhe Wang 001 (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 002; Yunhe Wang 001 (NeurIPS, 2024)

An Empirical Study of Scaling Law for OCR. - Miao Rang; Zhenni Bi; Chuanjian Liu; Yunhe Wang 001; Kai Han 002 (CoRR, 2024)

Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models. - Jianyuan Guo; Hanting Chen; Chengcheng Wang; Kai Han 002; Chang Xu 002; Yunhe Wang 001 (CoRR, 2024)

A Survey on Transformer Compression. - Yehui Tang; Yunhe Wang 001; Jianyuan Guo; Zhijun Tu; Kai Han 002; Hailin Hu 002; Dacheng Tao (CoRR, 2024)

SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution. - Chengcheng Wang; Zhiwei Hao; Yehui Tang; Jianyuan Guo; Yujie Yang; Kai Han 002; Yunhe Wang 001 (CoRR, 2024)

DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language Models. - Wei He 001; Kai Han 002; Yehui Tang; Chengcheng Wang; Yujie Yang; Tianyu Guo 001; Yunhe Wang 001 (CoRR, 2024)

DiJiang: Efficient Large Language Models through Compact Kernelization. - Hanting Chen; Zhicheng Liu 001; Xutao Wang; Yuchuan Tian; Yunhe Wang 001 (CoRR, 2024)

IPT-V2: Efficient Image Processing Transformer using Hierarchical Attentions. - Zhijun Tu; Kunpeng Du; Hanting Chen; Hailing Wang; Wei Li 002; Jie Hu 021; Yunhe Wang 001 (CoRR, 2024)

GhostNetV3: Exploring the Training Strategies for Compact Models. - Zhenhua Liu 003; Zhiwei Hao; Kai Han 002; Yehui Tang; Yunhe Wang 001 (CoRR, 2024)

Kangaroo: Lossless Self-Speculative Decoding via Double Early Exiting. - Fangcheng Liu; Yehui Tang; Zhenhua Liu 003; Yunsheng Ni; Kai Han 002; Yunhe Wang 001 (CoRR, 2024)

No Time to Waste: Squeeze Time into Channel for Mobile Video Understanding. - Yingjie Zhai; Wenshuo Li; Yehui Tang; Xinghao Chen 001; Yunhe Wang 001 (CoRR, 2024)

Instruct-IPT: All-in-One Image Processing Transformer via Weight Modulation. - Yuchuan Tian; Jianhong Han; Hanting Chen; Yuanyuan Xi; Guoyang Zhang; Jie Hu 021; Chao Xu 006; Yunhe Wang 001 (CoRR, 2024)

Multi-Granularity Semantic Revision for Large Language Model Distillation. - Xiaoyu Liu; Yun Zhang; Wei Li 002; Simiao Li; Xudong Huang; Hanting Chen; Yehui Tang; Jie Hu 021; Zhiwei Xiong; Yunhe Wang 001 (CoRR, 2024)

Free Video-LLM: Prompt-guided Visual Perception for Efficient Training-free Video LLMs. - Kai Han 002; Jianyuan Guo; Yehui Tang; Wei He 001; Enhua Wu; Yunhe Wang 001 (CoRR, 2024)

Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning. - Zhenni Bi; Kai Han 002; Chuanjian Liu; Yehui Tang; Yunhe Wang 001 (CoRR, 2024)

Local Means Binary Networks for Image Super-Resolution. - Keyu Li; Nannan Wang 001; Jingwei Xin; Xinrui Jiang; Jie Li 001; Xinbo Gao 001; Kai Han 002; Yunhe Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts. - Miao Rang; Zhenni Bi; Chuanjian Liu; Yehui Tang; Kai Han 002; Yunhe Wang 001 (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 001; Xinghao Chen 001 (AAAI, 2025)

DECO: Unleashing the Potential of ConvNets for Query-based Detection and Segmentation. - Xinghao Chen 001; Siwei Li; Yijing Yang; Yunhe Wang 001 (ICLR, 2025)

CBQ: Cross-Block Quantization for Large Language Models. - Xin Ding; Xiaoyu Liu; Zhijun Tu; Yun Zhang; Wei Li 002; Jie Hu 021; Hanting Chen; Yehui Tang; Zhiwei Xiong; Baoqun Yin; Yunhe Wang 001 (ICLR, 2025)

Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models. - Yuchen Liang; Xiangzhong Fang; Hanting Chen; Yunhe Wang 001 (ICLR, 2025)

DenseSSM: State Space Models with Dense Hidden Connection for Efficient Large Language Models. - Wei He 001; Kai Han 002; Yehui Tang; Chengcheng Wang; Yujie Yang; Tianyu Guo 001; Yunhe Wang 001 (NAACL (Long Papers), 2025)

EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models. - Yunsheng Ni; Chuanjian Liu; Yehui Tang; Kai Han 002; Yunhe Wang 001 (NAACL (Long Papers), 2025)

CFinBench: A Comprehensive Chinese Financial Benchmark for Large Language Models. - Ying Nie; Binwei Yan; Tianyu Guo 001; Hao Liu; Haoyu Wang 003; Wei He 001; Binfan Zheng; Weihao Wang; Qiang Li 024; Weijian Sun; Yunhe Wang 001; Dacheng Tao (NAACL (Long Papers), 2025)

GPT4Image: Large Pre-trained Models Help Vision Models Learn Better on Perception Task. - Ning Ding; Yehui Tang; Zhongqian Fu; Chao Xu 006; Kai Han 002; Yunhe Wang 001 (WWW (Companion Volume), 2025)

Rethinking Feature Reconstruction via Category Prototype in Semantic Segmentation. - Quan Tang 001; Chuanjian Liu; Fagui Liu; Jun Jiang 003; Bowen Zhang 009; C. L. Philip Chen; Kai Han 002; Yunhe Wang 001 (IEEE Trans. Image Process., 2025)

GenVidBench: A Challenging Benchmark for Detecting AI-Generated Video. - Zhenliang Ni; Qiangyu Yan; Mouxiao Huang; Tianning Yuan; Yehui Tang; Hailin Hu 002; Xinghao Chen 001; Yunhe Wang 001 (CoRR, 2025)

Unshackling Context Length: An Efficient Selective Attention Approach through Query-Key Compression. - Haoyu Wang 003; Tong Teng; Tianyu Guo 001; An Xiao; Duyu Tang; Hanting Chen; Yunhe Wang 001 (CoRR, 2025)

Mixture of Lookup Experts. - Shibo Jie; Yehui Tang; Kai Han 002; Yitong Li; Duyu Tang; Zhi-Hong Deng 001; Yunhe Wang 001 (CoRR, 2025)

U-REPA: Aligning Diffusion U-Nets to ViTs. - Yuchuan Tian; Hanting Chen; Mengyu Zheng; Yuchen Liang; Chao Xu 006; Yunhe Wang 001 (CoRR, 2025)

Saliency-driven Dynamic Token Pruning for Large Language Models. - Yao Tao; Yehui Tang; Yun Wang; Mingjian Zhu; Hailin Hu 002; Yunhe Wang 001 (CoRR, 2025)

Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs. - Yichun Yin; Wenyong Huang; Kaikai Song; Yehui Tang; Xueyu Wu; Wei Guo 006; Peng Guo; Yaoyuan Wang; Xiaojun Meng; Yasheng Wang; Dong Li 016; Can Chen; et al. (CoRR, 2025)

Transferable text data distillation by trajectory matching. - Rong Yao; Hailin Hu 002; Yifei Fu; Hanting Chen; Wenyi Fang; Fanyi Du; Kai Han 002; Yunhe Wang 001 (CoRR, 2025)

DSPO: Direct Semantic Preference Optimization for Real-World Image Super-Resolution. - Miaomiao Cai; Simiao Li; Wei Li 002; Xudong Huang; Hanting Chen; Jie Hu 021; Yunhe Wang 001 (CoRR, 2025)

Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs. - Yehui Tang; Yichun Yin; Yaoyuan Wang; Hang Zhou; Yu Pan; Wei Guo 006; Zhiguo Zhang; Miao Rang; Fangcheng Liu; Naifu Zhang; Binghan Li; Yonghan Dong; et al. (CoRR, 2025)

Pangu Light: Weight Re-Initialization for Pruning and Accelerating LLMs. - Hanting Chen; Jiarui Qin; Jialong Guo; Tao Yuan; Yichun Yin; Huiling Zhen; Yasheng Wang; Jinpeng Li 004; Xiaojun Meng; Meng Zhang; Rongju Ruan; Zheyuan Bai; et al. (CoRR, 2025)

Pangu Pro MoE: Mixture of Grouped Experts for Efficient Sparsity. - Yehui Tang; Xiaosong Li; Fangcheng Liu; Wei Guo 006; Hang Zhou; Yaoyuan Wang; Kai Han 002; Xianzhi Yu; Jinpeng Li 004; Hui Zang; Fei Mi; Xiaojun Meng; et al. (CoRR, 2025)

Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition. - Hanting Chen; Yasheng Wang; Kai Han 002; Dong Li 016; Lin Li; Zhenni Bi; Jinpeng Li 004; Haoyu Wang 003; Fei Mi; Mingjian Zhu; Bin Wang 027; Kaikai Song; et al. (CoRR, 2025)

SlimLLM: Accurate Structured Pruning for Large Language Models. - Jialong Guo; Xinghao Chen 001; Yehui Tang; Yunhe Wang 001 (CoRR, 2025)

Pangu DeepDiver: Adaptive Search Intensity Scaling via Open-Web Reinforcement Learning. - Wenxuan Shi; Haochen Tan; Chuqiao Kuang; Xiaoguang Li; Xiaozhe Ren; Chen Zhang; Hanting Chen; Yasheng Wang; Lifeng Shang; Fisher Yu 003; Yunhe Wang 001 (CoRR, 2025)

Adversarially Robust Neural Architectures. - Minjing Dong; Yanxi Li 001; Yunhe Wang 001; Chang Xu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

EAQuant: Enhancing Post-Training Quantization for MoE Models via Expert-Aware Optimization. - Zhongqian Fu; Ning Ding; Kai Han 002; Xianzhi Yu; Xiaosong Li; Xinghao Chen 001; Yehui Tang; Yunhe Wang 001 (CoRR, 2025)

LLM Data Selection and Utilization via Dynamic Bi-level Optimization. - Yang Yu 056; Kai Han 002; Hang Zhou; Yehui Tang; Kaiqi Huang; Yunhe Wang 001; Dacheng Tao (CoRR, 2025)

Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models. - Zhijun Tu; Hanting Chen; Siqi Liu; Chuanjian Liu; Jian Li; Jie Hu 021; Yunhe Wang 001 (CoRR, 2025)