Autoencoder Feature Selector. - Kai Han 002; Chao Li; Xin Shi (CoRR, 2017)

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

Attribute-Aware Attention Model for Fine-grained Representation Learning. - Kai Han 002; Jianyuan Guo; Chao Zhang 001; Mingjian Zhu (ACM Multimedia, 2018)

Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN. - Shupeng Su; Chao Zhang 001; Kai Han 002; Yonghong Tian 001 (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)

Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification. - Jianyuan Guo; Yuhui Yuan; Lang Huang 001; Chao Zhang 001; Jin-Ge Yao; Kai Han 002 (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)

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)

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)

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

Balanced Binary Neural Networks with Gated Residual. - Mingzhu Shen; Xianglong Liu 001; Ruihao Gong; Kai Han 002 (ICASSP, 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)

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)

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)

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)

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

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)

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

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)

Mining Neighbor Frames for Person Re-identification by Global Optimal Tracking. - Kai Han 002; Jinho Lee; Lang Huang 001; Fangcheng Liu; Seiichi Uchida; Chao Zhang 001 (ICSI (2), 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)

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)

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

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)

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

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)

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)

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)

Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings. - Yuhe Liu; Chuanjian Liu; Kai Han 002; Quan Tang 001; Zengchang Qin (ICCV, 2023)

Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation. - Wenkang Shan; Zhenhua Liu 003; Xinfeng Zhang 001; Zhao Wang 004; Kai Han 002; Shanshe Wang; Siwei Ma; Wen Gao 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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

Data-efficient Large Vision Models through Sequential Autoregression. - Zhiwei Hao; Jianyuan Guo; Chengcheng Wang; Yehui Tang; Han Wu 009; Han Hu 001; Kai Han 002; Chang Xu 002 (ICML, 2024)

GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer. - Ding Jia; Jianyuan Guo; Kai Han 002; Han Wu 009; Chao Zhang 001; Chang Xu 002; Xinghao Chen 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)

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)

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)

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)

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)

L-Man: A Large Multi-modal Model Unifying Human-centric Tasks. - Jialong Zuo; Ying Nie; Tianyu Guo 001; Huaxin Zhang; Jiahao Hong; Nong Sang; Changxin Gao; Kai Han 002 (AAAI, 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)

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)

Post-Training Quantization for Diffusion Transformer via Hierarchical Timestep Grouping. - Ning Ding; Jing Han; Yuchuan Tian; Chao Xu 006; Kai Han 002; Yehui Tang (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)

SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs. - Shibo Jie; Yehui Tang; Kai Han 002; Zhi-Hong Deng 001; Jing Han (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)

A Physics-guided Multimodal Transformer Path to Weather and Climate Sciences. - Jing Han; Hanting Chen; Kai Han 002; Xiaomeng Huang; Yongyun Hu; Wenjun Xu; Dacheng Tao; Ping Zhang (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)

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)

OmniEval: A Benchmark for Evaluating Omni-modal Models with Visual, Auditory, and Textual Inputs. - Yiman Zhang; Ziheng Luo; Qiangyu Yan; Wei He 001; Borui Jiang; Xinghao Chen 001; Kai Han 002 (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)