Kai Han - RankMe

177 papers A* 55A 2Misc 4Journal 108Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Empirical Study of World Model Quantization. CoRR Zhongqian Fu, Tianyi Zhao, Kai Han, Hang Zhou, Xinghao Chen, Yunhe Wang
2026	J	`jnl`	Beyond Masks: Efficient, Flexible Diffusion Language Models via Deletion-Insertion Processes. CoRR Fangyu Ding, Ding Ding, Sijin Chen, Kaibo Wang, Peng Xu, Zijin Feng, Haoli Bai, Kai Han, Youliang Yan, Binhang Yuan, Jiacheng Sun
2026	J	`jnl`	DLLM Agent: See Farther, Run Faster. CoRR Hui-Ling Zhen, Weizhe Lin, Renxi Liu, Kai Han, Yiming Li, Yuchuan Tian, Hanting Chen, Xiaoguang Li, Xiaosong Li, Chen Chen, Xianzhi Yu, Mingxuan Yuan, Youliang Yan, Peifeng Qin, Jun Wang, Yu Wang, Dacheng Tao, Yunhe Wang
2026	J	`jnl`	Diffusion In Diffusion: Reclaiming Global Coherence in Semi-Autoregressive Diffusion. CoRR Linrui Ma, Yufei Cui, Kai Han, Yunhe Wang
2026	J	`jnl`	Mask Is What DLLM Needs: A Masked Data Training Paradigm for Diffusion LLMs. CoRR Linrui Ma, Yufei Cui, Kai Han, Yunhe Wang
2026	J	`jnl`	Multimodal Latent Reasoning via Hierarchical Visual Cues Injection. CoRR Yiming Zhang, Qiangyu Yan, Borui Jiang, Kai Han
2026	A*	`conf`	PocketLLM: Ultimate Compression of Large Language Models via Meta Networks. AAAI Ye Tian, Chengcheng Wang, Jing Han, Yehui Tang, Kai Han
2026	J	`jnl`	Top 10 Open Challenges Steering the Future of Diffusion Language Model and Its Variants. CoRR Yunhe Wang, Kai Han, Huiling Zhen, Yuchuan Tian, Hanting Chen, Yongbing Huang, Yufei Cui, Yingte Shu, Shan Gao, Ismail Elezi, Roy Vaughan Miles, Songcen Xu, Feng Wen, Chao Xu, Sinan Zeng, Dacheng Tao
2026	J	`jnl`	Toward Effective Knowledge Distillation: Navigating Beyond Small-Data Pitfall. IEEE Trans. Pattern Anal. Mach. Intell. Zhiwei Hao, Jianyuan Guo, Kai Han, Han Hu, Chang Xu, Yunhe Wang
2025	J	`jnl`	A Physics-guided Multimodal Transformer Path to Weather and Climate Sciences. CoRR Jing Han, Hanting Chen, Kai Han, Xiaomeng Huang, Yongyun Hu, Wenjun Xu, Dacheng Tao, Ping Zhang
2025	—	`conf`	DenseSSM: State Space Models with Dense Hidden Connection for Efficient Large Language Models. NAACL (Long Papers) Wei He, Kai Han, Yehui Tang, Chengcheng Wang, Yujie Yang, Tianyu Guo, Yunhe Wang
2025	J	`jnl`	EAQuant: Enhancing Post-Training Quantization for MoE Models via Expert-Aware Optimization. CoRR Zhongqian Fu, Ning Ding, Kai Han, Xianzhi Yu, Xiaosong Li, Xinghao Chen, Yehui Tang, Yunhe Wang
2025	—	`conf`	EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models. NAACL (Long Papers) Yunsheng Ni, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang
2025	A*	`conf`	Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts. AAAI Miao Rang, Zhenni Bi, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang
2025	J	`jnl`	Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts. CoRR Miao Rang, Zhenni Bi, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang
2025	A*	`conf`	Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning. ICML Zhenni Bi, Kai Han, Chuanjian Liu, Yehui Tang, Yunhe Wang
2025	J	`jnl`	From Next-Token to Next-Block: A Principled Adaptation Path for Diffusion LLMs. CoRR Yuchuan Tian, Yuchen Liang, Jiacheng Sun, Shuo Zhang, Guangwen Yang, Yingte Shu, Sibo Fang, Tianyu Guo, Kai Han, Chao Xu, Hanting Chen, Xinghao Chen, Yunhe Wang
2025	—	`conf`	GPT4Image: Large Pre-trained Models Help Vision Models Learn Better on Perception Task. WWW (Companion Volume) Ning Ding, Yehui Tang, Zhongqian Fu, Chao Xu, Kai Han, Yunhe Wang
2025	A*	`conf`	L-Man: A Large Multi-modal Model Unifying Human-centric Tasks. AAAI Jialong Zuo, Ying Nie, Tianyu Guo, Huaxin Zhang, Jiahao Hong, Nong Sang, Changxin Gao, Kai Han
2025	A*	`conf`	LLM Data Selection and Utilization via Dynamic Bi-level Optimization. ICML Yang Yu, Kai Han, Hang Zhou, Yehui Tang, Kaiqi Huang, Yunhe Wang, Dacheng Tao
2025	J	`jnl`	LLM Data Selection and Utilization via Dynamic Bi-level Optimization. CoRR Yang Yu, Kai Han, Hang Zhou, Yehui Tang, Kaiqi Huang, Yunhe Wang, Dacheng Tao
2025	A*	`conf`	Mixture of Lookup Experts. ICML Shibo Jie, Yehui Tang, Kai Han, Yitong Li, Duyu Tang, Zhi-Hong Deng, Yunhe Wang
2025	J	`jnl`	Mixture of Lookup Experts. CoRR Shibo Jie, Yehui Tang, Kai Han, Yitong Li, Duyu Tang, Zhi-Hong Deng, Yunhe Wang
2025	J	`jnl`	Nexus: Higher-Order Attention Mechanisms in Transformers. CoRR Hanting Chen, Chong Zhu, Kai Han, Yuchuan Tian, Yuchen Liang, Tianyu Guo, Xinghao Chen, Dacheng Tao, Yunhe Wang
2025	J	`jnl`	OmniEval: A Benchmark for Evaluating Omni-modal Models with Visual, Auditory, and Textual Inputs. CoRR Yiman Zhang, Ziheng Luo, Qiangyu Yan, Wei He, Borui Jiang, Xinghao Chen, Kai Han
2025	J	`jnl`	Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition. CoRR Hanting Chen, Yasheng Wang, Kai Han, Dong Li, Lin Li, Zhenni Bi, Jinpeng Li, Haoyu Wang, Fei Mi, Mingjian Zhu, Bin Wang, Kaikai Song, Yifei Fu, Xu He, Yu Luo, Chong Zhu, Quan He, Xueyu Wu, Wei He, Hailin Hu, Yehui Tang, Dacheng Tao, Xinghao Chen, Yunhe Wang
2025	J	`jnl`	Pangu Pro MoE: Mixture of Grouped Experts for Efficient Sparsity. CoRR Yehui Tang, Xiaosong Li, Fangcheng Liu, Wei Guo, Hang Zhou, Yaoyuan Wang, Kai Han, Xianzhi Yu, Jinpeng Li, Hui Zang, Fei Mi, Xiaojun Meng, Zhicheng Liu, Hanting Chen, Binfan Zheng, Can Chen, Youliang Yan, Ruiming Tang, Peifeng Qin, Xinghao Chen, Dacheng Tao, Yunhe Wang
2025	J	`jnl`	PocketLLM: Ultimate Compression of Large Language Models via Meta Networks. CoRR Ye Tian, Chengcheng Wang, Jing Han, Yehui Tang, Kai Han
2025	J	`jnl`	Positional Preservation Embedding for Multimodal Large Language Models. CoRR Mouxiao Huang, Borui Jiang, Dehua Zheng, Hailin Hu, Kai Han, Xinghao Chen
2025	J	`jnl`	Post-Training Quantization for Diffusion Transformer via Hierarchical Timestep Grouping. CoRR Ning Ding, Jing Han, Yuchuan Tian, Chao Xu, Kai Han, Yehui Tang
2025	J	`jnl`	ROOT: Robust Orthogonalized Optimizer for Neural Network Training. CoRR Wei He, Kai Han, Hang Zhou, Hanting Chen, Zhicheng Liu, Xinghao Chen, Yunhe Wang
2025	J	`jnl`	Rethinking Feature Reconstruction via Category Prototype in Semantic Segmentation. IEEE Trans. Image Process. Quan Tang, Chuanjian Liu, Fagui Liu, Jun Jiang, Bowen Zhang, C. L. Philip Chen, Kai Han, Yunhe Wang
2025	J	`jnl`	Revealing the Power of Post-Training for Small Language Models via Knowledge Distillation. CoRR Miao Rang, Zhenni Bi, Hang Zhou, Hanting Chen, An Xiao, Tianyu Guo, Kai Han, Xinghao Chen, Yunhe Wang
2025	J	`jnl`	ScaleNet: Scaling up Pretrained Neural Networks With Incremental Parameters. IEEE Trans. Image Process. Zhiwei Hao, Jianyuan Guo, Li Shen, Kai Han, Yehui Tang, Han Hu, Yunhe Wang
2025	J	`jnl`	ScaleNet: Scaling up Pretrained Neural Networks with Incremental Parameters. CoRR Zhiwei Hao, Jianyuan Guo, Li Shen, Kai Han, Yehui Tang, Han Hu, Yunhe Wang
2025	A*	`conf`	SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs. ICML Shibo Jie, Yehui Tang, Kai Han, Zhi-Hong Deng, Jing Han
2025	J	`jnl`	SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs. CoRR Shibo Jie, Yehui Tang, Kai Han, Zhi-Hong Deng, Jing Han
2025	J	`jnl`	Transferable text data distillation by trajectory matching. CoRR Rong Yao, Hailin Hu, Yifei Fu, Hanting Chen, Wenyi Fang, Fanyi Du, Kai Han, Yunhe Wang
2025	J	`jnl`	VersatileFFN: Achieving Parameter Efficiency in LLMs via Adaptive Wide-and-Deep Reuse. CoRR Ying Nie, Kai Han, Hongguang Li, Hang Zhou, Tianyu Guo, Enhua Wu, Xinghao Chen, Yunhe Wang
2024	Misc	`conf`	A Robust Audio Deepfake Detection System via Multi-View Feature. ICASSP Yujie Yang, Haochen Qin, Hang Zhou, Chengcheng Wang, Tianyu Guo, Kai Han, Yunhe Wang
2024	J	`jnl`	A Survey on Transformer Compression. CoRR Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhijun Tu, Kai Han, Hailin Hu, Dacheng Tao
2024	J	`jnl`	A robust audio deepfake detection system via multi-view feature. CoRR Yujie Yang, Haochen Qin, Hang Zhou, Chengcheng Wang, Tianyu Guo, Kai Han, Yunhe Wang
2024	—	`conf`	Adapt Without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models. ECCV (54) Mengyu Zheng, Yehui Tang, Zhiwei Hao, Kai Han, Yunhe Wang, Chang Xu
2024	J	`jnl`	An Empirical Study of Scaling Law for OCR. CoRR Miao Rang, Zhenni Bi, Chuanjian Liu, Yunhe Wang, Kai Han
2024	A*	`conf`	An Empirical Study of Scaling Law for Scene Text Recognition. CVPR Miao Rang, Zhenni Bi, Chuanjian Liu, Yunhe Wang, Kai Han
2024	A*	`conf`	Data-efficient Large Vision Models through Sequential Autoregression. ICML Zhiwei Hao, Jianyuan Guo, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han, Chang Xu
2024	J	`jnl`	Data-efficient Large Vision Models through Sequential Autoregression. CoRR Jianyuan Guo, Zhiwei Hao, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han, Chang Xu
2024	J	`jnl`	DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language Models. CoRR Wei He, Kai Han, Yehui Tang, Chengcheng Wang, Yujie Yang, Tianyu Guo, Yunhe Wang
2024	J	`jnl`	EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models. CoRR Yunsheng Ni, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang
2024	J	`jnl`	Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning. CoRR Zhenni Bi, Kai Han, Chuanjian Liu, Yehui Tang, Yunhe Wang
2024	J	`jnl`	Free Video-LLM: Prompt-guided Visual Perception for Efficient Training-free Video LLMs. CoRR Kai Han, Jianyuan Guo, Yehui Tang, Wei He, Enhua Wu, Yunhe Wang
2024	A*	`conf`	GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer. ICML Ding Jia, Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Chang Xu, Xinghao Chen
2024	J	`jnl`	GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer. CoRR Ding Jia, Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Chang Xu, Xinghao Chen
2024	J	`jnl`	GhostNetV3: Exploring the Training Strategies for Compact Models. CoRR Zhenhua Liu, Zhiwei Hao, Kai Han, Yehui Tang, Yunhe Wang
2024	J	`jnl`	GhostRNN: Reducing State Redundancy in RNN with Cheap Operations. CoRR Hang Zhou, Xiaoxu Zheng, Yunhe Wang, Michael Bi Mi, Deyi Xiong, Kai Han
2024	A*	`conf`	Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting. NeurIPS Fangcheng Liu, Yehui Tang, Zhenhua Liu, Yunsheng Ni, Duyu Tang, Kai Han, Yunhe Wang
2024	J	`jnl`	Kangaroo: Lossless Self-Speculative Decoding via Double Early Exiting. CoRR Fangcheng Liu, Yehui Tang, Zhenhua Liu, Yunsheng Ni, Kai Han, Yunhe Wang
2024	J	`jnl`	Local Means Binary Networks for Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. Keyu Li, Nannan Wang, Jingwei Xin, Xinrui Jiang, Jie Li, Xinbo Gao, Kai Han, Yunhe Wang
2024	A*	`conf`	Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning. ICML Shibo Jie, Yehui Tang, Ning Ding, Zhi-Hong Deng, Kai Han, Yunhe Wang
2024	J	`jnl`	Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning. CoRR Shibo Jie, Yehui Tang, Ning Ding, Zhi-Hong Deng, Kai Han, Yunhe Wang
2024	A*	`conf`	MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers. NeurIPS Ning Ding, Yehui Tang, Haochen Qin, Zhenli Zhou, Chao Xu, Lin Li, Kai Han, Heng Liao, Yunhe Wang
2024	J	`jnl`	MemoryFormer: Minimize Transformer Computation by Removing Fully-Connected Layers. CoRR Ning Ding, Yehui Tang, Haochen Qin, Zhenli Zhou, Chao Xu, Lin Li, Kai Han, Heng Liao, Yunhe Wang
2024	A*	`conf`	ParameterNet: Parameters are All You Need for Large-Scale Visual Pretraining of Mobile Networks. CVPR Kai Han, Yunhe Wang, Jianyuan Guo, Enhua Wu
2024	A*	`conf`	Rethinking Optimization and Architecture for Tiny Language Models. ICML Yehui Tang, Kai Han, Fangcheng Liu, Yunsheng Ni, Yuchuan Tian, Zheyuan Bai, Yi-Qi Hu, Sichao Liu, Shangling Jui, Yunhe Wang
2024	J	`jnl`	Rethinking Optimization and Architecture for Tiny Language Models. CoRR Yehui Tang, Fangcheng Liu, Yunsheng Ni, Yuchuan Tian, Zheyuan Bai, Yi-Qi Hu, Sichao Liu, Shangling Jui, Kai Han, Yunhe Wang
2024	J	`jnl`	SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution. CoRR Chengcheng Wang, Zhiwei Hao, Yehui Tang, Jianyuan Guo, Yujie Yang, Kai Han, Yunhe Wang
2024	A*	`conf`	Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning. NeurIPS Hang Zhou, Yehui Tang, Haochen Qin, Yujie Yang, Renren Jin, Deyi Xiong, Kai Han, Yunhe Wang
2024	J	`jnl`	Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning. CoRR Hang Zhou, Yehui Tang, Haochen Qin, Yujie Yang, Renren Jin, Deyi Xiong, Kai Han, Yunhe Wang
2024	—	`conf`	Token Compensator: Altering Inference Cost of Vision Transformer Without Re-tuning. ECCV (16) Shibo Jie, Yehui Tang, Jianyuan Guo, Zhi-Hong Deng, Kai Han, Yunhe Wang
2024	J	`jnl`	Token Compensator: Altering Inference Cost of Vision Transformer without Re-Tuning. CoRR Shibo Jie, Yehui Tang, Jianyuan Guo, Zhi-Hong Deng, Kai Han, Yunhe Wang
2024	J	`jnl`	Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models. CoRR Jianyuan Guo, Hanting Chen, Chengcheng Wang, Kai Han, Chang Xu, Yunhe Wang
2023	J	`jnl`	A Survey on Vision Transformer. IEEE Trans. Pattern Anal. Mach. Intell. Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao
2023	A*	`conf`	Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings. ICCV Yuhe Liu, Chuanjian Liu, Kai Han, Quan Tang, Zengchang Qin
2023	J	`jnl`	Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings. CoRR Yuhe Liu, Chuanjian Liu, Kai Han, Quan Tang, Zengchang Qin
2023	J	`jnl`	Category Feature Transformer for Semantic Segmentation. CoRR Quan Tang, Chuanjian Liu, Fagui Liu, Yifan Liu, Jun Jiang, Bowen Zhang, Kai Han, Yunhe Wang
2023	J	`jnl`	Complementary Sparsity: Accelerating Sparse CNNs with High Accuracy on General-Purpose Computing Platforms. Trans. Mach. Learn. Res. Kang Zhao, Yijun Tan, Kai Han, Ting Hu, Hanting Chen, Tao Yuan, Yunhe Wang, Jun Yao
2023	A*	`conf`	Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation. ICCV Wenkang Shan, Zhenhua Liu, Xinfeng Zhang, Zhao Wang, Kai Han, Shanshe Wang, Siwei Ma, Wen Gao
2023	J	`jnl`	Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation. CoRR Wenkang Shan, Zhenhua Liu, Xinfeng Zhang, Zhao Wang, Kai Han, Shanshe Wang, Siwei Ma, Wen Gao
2023	J	`jnl`	GPT4Image: Can Large Pre-trained Models Help Vision Models on Perception Tasks? CoRR Ning Ding, Yehui Tang, Zhongqian Fu, Chao Xu, Kai Han, Yunhe Wang
2023	A	`conf`	GhostRNN: Reducing State Redundancy in RNN with Cheap Operations. INTERSPEECH Hang Zhou, Xiaoxu Zheng, Yunhe Wang, Michael Bi Mi, Deyi Xiong, Kai Han
2023	A*	`conf`	Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism. NeurIPS Chengcheng Wang, Wei He, Ying Nie, Jianyuan Guo, Chuanjian Liu, Yunhe Wang, Kai Han
2023	J	`jnl`	Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism. CoRR Chengcheng Wang, Wei He, Ying Nie, Jianyuan Guo, Chuanjian Liu, Kai Han, Yunhe Wang
2023	J	`jnl`	LightCLIP: Learning Multi-Level Interaction for Lightweight Vision-Language Models. CoRR Ying Nie, Wei He, Kai Han, Yehui Tang, Tianyu Guo, Fanyi Du, Yunhe Wang
2023	A*	`conf`	Masked Image Modeling with Local Multi-Scale Reconstruction. CVPR Haoqing Wang, Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhi-Hong Deng, Kai Han
2023	J	`jnl`	Masked Image Modeling with Local Multi-Scale Reconstruction. CoRR Haoqing Wang, Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhi-Hong Deng, Kai Han
2023	A*	`conf`	Network Expansion For Practical Training Acceleration. CVPR Ning Ding, Yehui Tang, Kai Han, Chao Xu, Yunhe Wang
2023	A*	`conf`	One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation. NeurIPS Zhiwei Hao, Jianyuan Guo, Kai Han, Yehui Tang, Han Hu, Yunhe Wang, Chang Xu
2023	J	`jnl`	One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation. CoRR Zhiwei Hao, Jianyuan Guo, Kai Han, Yehui Tang, Han Hu, Yunhe Wang, Chang Xu
2023	J	`jnl`	PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation. CoRR Yunhe Wang, Hanting Chen, Yehui Tang, Tianyu Guo, Kai Han, Ying Nie, Xutao Wang, Hailin Hu, Zheyuan Bai, Yun Wang, Fangcheng Liu, Zhicheng Liu, Jianyuan Guo, Sinan Zeng, Yinchen Zhang, Qinghua Xu, Qun Liu, Jun Yao, Chao Xu, Dacheng Tao
2023	J	`jnl`	ParameterNet: Parameters Are All You Need for Large-scale Visual Pretraining of Mobile Networks. CoRR Kai Han, Yunhe Wang, Jianyuan Guo, Enhua Wu
2023	A*	`conf`	Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale. NeurIPS Zhiwei Hao, Jianyuan Guo, Kai Han, Han Hu, Chang Xu, Yunhe Wang
2023	A*	`conf`	Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition. NeurIPS Wei He, Kai Han, Ying Nie, Chengcheng Wang, Yunhe Wang
2023	J	`jnl`	Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition. CoRR Wei He, Kai Han, Ying Nie, Chengcheng Wang, Yunhe Wang
2023	J	`jnl`	VanillaKD: Revisit the Power of Vanilla Knowledge Distillation from Small Scale to Large Scale. CoRR Zhiwei Hao, Jianyuan Guo, Kai Han, Han Hu, Chang Xu, Yunhe Wang
2022	A*	`conf`	A Transformer-Based Object Detector with Coarse-Fine Crossing Representations. NeurIPS Zhishan Li, Ying Nie, Kai Han, Jianyuan Guo, Lei Xie, Yunhe Wang
2022	A*	`conf`	Accelerating Sparse Convolution with Column Vector-Wise Sparsity. NeurIPS Yijun Tan, Kai Han, Kang Zhao, Xianzhi Yu, Zidong Du, Yunji Chen, Yunhe Wang, Jun Yao
2022	A*	`conf`	An Image Patch is a Wave: Phase-Aware Vision MLP. CVPR Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Yanxi Li, Chao Xu, Yunhe Wang
2022	A*	`conf`	CMT: Convolutional Neural Networks Meet Vision Transformers. CVPR Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Xinghao Chen, Yunhe Wang, Chang Xu
2022	J	`jnl`	FastMIM: Expediting Masked Image Modeling Pre-training for Vision. CoRR Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Yunhe Wang, Chang Xu
2022	A*	`conf`	GhostNetV2: Enhance Cheap Operation with Long-Range Attention. NeurIPS Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang
2022	J	`jnl`	GhostNetV2: Enhance Cheap Operation with Long-Range Attention. CoRR Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang
2022	J	`jnl`	GhostNets on Heterogeneous Devices via Cheap Operations. CoRR Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chunjing Xu, Enhua Wu, Qi Tian
2022	J	`jnl`	GhostNets on Heterogeneous Devices via Cheap Operations. Int. J. Comput. Vis. Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chunjing Xu, Enhua Wu, Qi Tian
2022	J	`jnl`	GhostSR: Learning Ghost Features for Efficient Image Super-Resolution. Trans. Mach. Learn. Res. Ying Nie, Kai Han, Zhenhua Liu, Chuanjian Liu, Yunhe Wang
2022	A*	`conf`	Hire-MLP: Vision MLP via Hierarchical Rearrangement. CVPR Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang
2022	A*	`conf`	Instance-Aware Dynamic Neural Network Quantization. CVPR Zhenhua Liu, Yunhe Wang, Kai Han, Siwei Ma, Wen Gao
2022	A*	`conf`	Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation. NeurIPS Zhiwei Hao, Jianyuan Guo, Ding Jia, Kai Han, Yehui Tang, Chao Zhang, Han Hu, Yunhe Wang
2022	J	`jnl`	Learning Versatile Convolution Filters for Efficient Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Kai Han, Yunhe Wang, Chang Xu, Chunjing Xu, Enhua Wu, Dacheng Tao
2022	—	`conf`	Network Amplification with Efficient MACs Allocation. CVPR Workshops Chuanjian Liu, Kai Han, An Xiao, Ying Nie, Wei Zhang, Yunhe Wang
2022	A*	`conf`	Patch Slimming for Efficient Vision Transformers. CVPR Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao
2022	J	`jnl`	PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid Architecture. CoRR Kai Han, Jianyuan Guo, Yehui Tang, Yunhe Wang
2022	A*	`conf`	Redistribution of Weights and Activations for AdderNet Quantization. NeurIPS Ying Nie, Kai Han, Haikang Diao, Chuanjian Liu, Enhua Wu, Yunhe Wang
2022	J	`jnl`	Redistribution of Weights and Activations for AdderNet Quantization. CoRR Ying Nie, Kai Han, Haikang Diao, Chuanjian Liu, Enhua Wu, Yunhe Wang
2022	A*	`conf`	Vision GNN: An Image is Worth Graph of Nodes. NeurIPS Kai Han, Yunhe Wang, Jianyuan Guo, Yehui Tang, Enhua Wu
2022	J	`jnl`	Vision GNN: An Image is Worth Graph of Nodes. CoRR Kai Han, Yunhe Wang, Jianyuan Guo, Yehui Tang, Enhua Wu
2021	J	`jnl`	AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence. CoRR Yunhe Wang, Mingqiang Huang, Kai Han, Hanting Chen, Wei Zhang, Chunjing Xu, Dacheng Tao
2021	J	`jnl`	An Image Patch is a Wave: Phase-Aware Vision MLP. CoRR Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Yanxi Li, Chao Xu, Yunhe Wang
2021	A*	`conf`	Augmented Shortcuts for Vision Transformers. NeurIPS Yehui Tang, Kai Han, Chang Xu, An Xiao, Yiping Deng, Chao Xu, Yunhe Wang
2021	J	`jnl`	Augmented Shortcuts for Vision Transformers. CoRR Yehui Tang, Kai Han, Chang Xu, An Xiao, Yiping Deng, Chao Xu, Yunhe Wang
2021	J	`jnl`	CMT: Convolutional Neural Networks Meet Vision Transformers. CoRR Jianyuan Guo, Kai Han, Han Wu, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang
2021	A*	`conf`	Distilling Object Detectors via Decoupled Features. CVPR Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu
2021	J	`jnl`	Distilling Object Detectors via Decoupled Features. CoRR Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu
2021	A*	`conf`	Dynamic Resolution Network. NeurIPS Mingjian Zhu, Kai Han, Enhua Wu, Qiulin Zhang, Ying Nie, Zhenzhong Lan, Yunhe Wang
2021	J	`jnl`	Dynamic Resolution Network. CoRR Mingjian Zhu, Kai Han, Enhua Wu, Qiulin Zhang, Ying Nie, Zhenzhong Lan, Yunhe Wang
2021	J	`jnl`	Efficient Vision Transformers via Fine-Grained Manifold Distillation. CoRR Ding Jia, Kai Han, Yunhe Wang, Yehui Tang, Jianyuan Guo, Chao Zhang, Dacheng Tao
2021	J	`jnl`	GhostSR: Learning Ghost Features for Efficient Image Super-Resolution. CoRR Ying Nie, Kai Han, Zhenhua Liu, An Xiao, Yiping Deng, Chunjing Xu, Yunhe Wang
2021	J	`jnl`	Greedy Network Enlarging. CoRR Chuanjian Liu, Kai Han, An Xiao, Yiping Deng, Wei Zhang, Chunjing Xu, Yunhe Wang
2021	J	`jnl`	Hire-MLP: Vision MLP via Hierarchical Rearrangement. CoRR Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang
2021	A*	`conf`	Learning Frequency Domain Approximation for Binary Neural Networks. NeurIPS Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang
2021	J	`jnl`	Learning Frequency Domain Approximation for Binary Neural Networks. CoRR Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang
2021	J	`jnl`	Learning Versatile Convolution Filters for Efficient Visual Recognition. CoRR Kai Han, Yunhe Wang, Chang Xu, Chunjing Xu, Enhua Wu, Dacheng Tao
2021	—	`conf`	Mining Neighbor Frames for Person Re-identification by Global Optimal Tracking. ICSI (2) Kai Han, Jinho Lee, Lang Huang, Fangcheng Liu, Seiichi Uchida, Chao Zhang
2021	A	`conf`	Multi-bit Adaptive Distillation for Binary Neural Networks. BMVC Ying Nie, Kai Han, Yunhe Wang
2021	J	`jnl`	Patch Slimming for Efficient Vision Transformers. CoRR Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao
2021	A*	`conf`	Positive-Unlabeled Data Purification in the Wild for Object Detection. CVPR Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Xinghao Chen, Chunjing Xu, Chang Xu, Yunhe Wang
2021	A*	`conf`	Post-Training Quantization for Vision Transformer. NeurIPS Zhenhua Liu, Yunhe Wang, Kai Han, Wei Zhang, Siwei Ma, Wen Gao
2021	J	`jnl`	Post-Training Quantization for Vision Transformer. CoRR Zhenhua Liu, Yunhe Wang, Kai Han, Siwei Ma, Wen Gao
2021	A*	`conf`	ReNAS: Relativistic Evaluation of Neural Architecture Search. CVPR Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu
2021	A*	`conf`	Transformer in Transformer. NeurIPS Kai Han, An Xiao, Enhua Wu, Jianyuan Guo, Chunjing Xu, Yunhe Wang
2021	J	`jnl`	Transformer in Transformer. CoRR Kai Han, An Xiao, Enhua Wu, Jianyuan Guo, Chunjing Xu, Yunhe Wang
2021	J	`jnl`	Visual Transformer Pruning. CoRR Mingjian Zhu, Kai Han, Yehui Tang, Yunhe Wang
2020	J	`jnl`	A Survey on Visual Transformer. CoRR Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao
2020	Misc	`conf`	Balanced Binary Neural Networks with Gated Residual. ICASSP Mingzhu Shen, Xianglong Liu, Ruihao Gong, Kai Han
2020	J	`jnl`	Dynamic Feature Pyramid Networks for Object Detection. CoRR Mingjian Zhu, Kai Han, Changbin Yu, Yunhe Wang
2020	A*	`conf`	GhostNet: More Features From Cheap Operations. CVPR Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu
2020	A*	`conf`	Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection. CVPR Jianyuan Guo, Kai Han, Yunhe Wang, Chao Zhang, Zhaohui Yang, Han Wu, Xinghao Chen, Chang Xu
2020	J	`jnl`	Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection. CoRR Jianyuan Guo, Kai Han, Yunhe Wang, Chao Zhang, Zhaohui Yang, Han Wu, Xinghao Chen, Chang Xu
2020	A*	`conf`	Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets. NeurIPS Kai Han, Yunhe Wang, Qiulin Zhang, Wei Zhang, Chunjing Xu, Tong Zhang
2020	J	`jnl`	Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets. CoRR Kai Han, Yunhe Wang, Qiulin Zhang, Wei Zhang, Chunjing Xu, Tong Zhang
2020	A*	`conf`	Searching for Low-Bit Weights in Quantized Neural Networks. NeurIPS Zhaohui Yang, Yunhe Wang, Kai Han, Chunjing Xu, Chao Xu, Dacheng Tao, Chang Xu
2020	J	`jnl`	Searching for Low-Bit Weights in Quantized Neural Networks. CoRR Zhaohui Yang, Yunhe Wang, Kai Han, Chunjing Xu, Chao Xu, Dacheng Tao, Chang Xu
2020	A*	`conf`	Training Binary Neural Networks through Learning with Noisy Supervision. ICML Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu
2020	J	`jnl`	Training Binary Neural Networks through Learning with Noisy Supervision. CoRR Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu
2020	J	`jnl`	VEGA: Towards an End-to-End Configurable AutoML Pipeline. CoRR Bochao Wang, Hang Xu, Jiajin Zhang, Chen Chen, Yixing Xu, Xiaozhi Fang, Ning Kang, Lanqing Hong, Chenhan Jiang, Xinyue Cai, Jiawei Li, Fengwei Zhou, Yong Li, Zhicheng Liu, Xinghao Chen, Kai Han, Han Shu, Dehua Song, Yunhe Wang, Wei Zhang, Chunjing Xu, Zhenguo Li, Wenzhi Liu, Tong Zhang
2020	J	`jnl`	Widening and Squeezing: Towards Accurate and Efficient QNNs. CoRR Chuanjian Liu, Kai Han, Yunhe Wang, Hanting Chen, Chunjing Xu, Qi Tian
2019	A*	`conf`	Attribute Aware Pooling for Pedestrian Attribute Recognition. IJCAI Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu
2019	J	`jnl`	Attribute Aware Pooling for Pedestrian Attribute Recognition. CoRR Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu
2019	J	`jnl`	Attribute-Aware Attention Model for Fine-grained Representation Learning. CoRR Kai Han, Jianyuan Guo, Chao Zhang, Mingjian Zhu
2019	J	`jnl`	Balanced Binary Neural Networks with Gated Residual. CoRR Mingzhu Shen, Xianglong Liu, Kai Han, Ruihao Gong, Yunhe Wang, Chang Xu
2019	A*	`conf`	Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification. ICCV Jianyuan Guo, Yuhui Yuan, Lang Huang, Chao Zhang, Jin-Ge Yao, Kai Han
2019	J	`jnl`	Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification. CoRR Jianyuan Guo, Yuhui Yuan, Lang Huang, Chao Zhang, Jin-Ge Yao, Kai Han
2019	A*	`conf`	Co-Evolutionary Compression for Unpaired Image Translation. ICCV Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu
2019	J	`jnl`	Co-Evolutionary Compression for Unpaired Image Translation. CoRR Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu
2019	J	`jnl`	Full-Stack Filters to Build Minimum Viable CNNs. CoRR Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Dacheng Tao, Chang Xu
2019	J	`jnl`	GhostNet: More Features from Cheap Operations. CoRR Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu
2019	A*	`conf`	Learning Instance-wise Sparsity for Accelerating Deep Models. IJCAI Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu
2019	J	`jnl`	Learning Instance-wise Sparsity for Accelerating Deep Models. CoRR Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu
2019	Misc	`conf`	Low-resolution Visual Recognition via Deep Feature Distillation. ICASSP Mingjian Zhu, Kai Han, Chao Zhang, Jinlong Lin, Yunhe Wang
2019	A*	`conf`	Positive-Unlabeled Compression on the Cloud. NeurIPS Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu
2019	J	`jnl`	Positive-Unlabeled Compression on the Cloud. CoRR Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu
2019	J	`jnl`	RNAS: Architecture Ranking for Powerful Networks. CoRR Yixing Xu, Yunhe Wang, Kai Han, Hanting Chen, Yehui Tang, Shangling Jui, Chunjing Xu, Qi Tian, Chang Xu
2019	—	`conf`	Searching for Accurate Binary Neural Architectures. ICCV Workshops Mingzhu Shen, Kai Han, Chunjing Xu, Yunhe Wang
2019	J	`jnl`	Searching for Accurate Binary Neural Architectures. CoRR Mingzhu Shen, Kai Han, Chunjing Xu, Yunhe Wang
2018	A*	`conf`	Attribute-Aware Attention Model for Fine-grained Representation Learning. ACM Multimedia Kai Han, Jianyuan Guo, Chao Zhang, Mingjian Zhu
2018	Misc	`conf`	Autoencoder Inspired Unsupervised Feature Selection. ICASSP Kai Han, Yunhe Wang, Chao Zhang, Chao Li, Chao Xu
2018	A*	`conf`	Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN. NeurIPS Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian
2017	J	`jnl`	Autoencoder Feature Selector. CoRR Kai Han, Chao Li, Xin Shi