Trip planning considering Last Trains Running. - Jianyuan Guo; Limin Jia 002; Yong Qin 002; Bo Wang (ITSC, 2013)

Joint Supervision for Discriminative Feature Learning in Convolutional Neural Networks. - Jianyuan Guo; Yuhui Yuan; Chao Zhang 001 (CCCV (2), 2017)

Feature Incay for Representation Regularization. - Yuhui Yuan; Kuiyuan Yang; Jianyuan Guo; Chao Zhang 001; Jingdong Wang 001 (ICLR (Workshop), 2018)

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

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)

Short-Term Abnormal Passenger Flow Prediction Based on the Fusion of SVR and LSTM. - Jianyuan Guo; Zhen Xie; Yong Qin 002; Limin Jia 002; Yaguan Wang (IEEE Access, 2019)

Interlaced Sparse Self-Attention for Semantic Segmentation. - Lang Huang 001; Yuhui Yuan; Jianyuan Guo; Chao Zhang 001; Xilin Chen 001; Jingdong Wang 001 (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)

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)

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)

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)

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)

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

OCNet: Object Context for Semantic Segmentation. - Yuhui Yuan; Lang Huang 001; Jianyuan Guo; Chao Zhang 001; Xilin Chen 001; Jingdong Wang 001 (Int. J. Comput. Vis., 2021)

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)

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

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)

Face detection for rail transit passengers based on single shot detector and active learning. - Zhiwei Cao; Yong Qin 002; Yongling Li; Zhengyu Xie; Jianyuan Guo; Limin Jia 002 (Multim. Tools Appl., 2022)

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)

Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion. - Han Wu 009; Jie Yin 001; Bala Rajaratnam; Jianyuan Guo (ICLR, 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)

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)

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)

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)

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)

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)

PrimKD: Primary Modality Guided Multimodal Fusion for RGB-D Semantic Segmentation. - Zhiwei Hao; Zhongyu Xiao; Yong Luo 002; Jianyuan Guo; Jing Wang 055; Li Shen 008; Han Hu 003 (ACM Multimedia, 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)

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)

A Spatiotemporal Probabilistic Graphical Model Based on Adaptive Expectation-Maximization Attention for Individual Trajectory Reconstruction Considering Incomplete Observations. - Xuan Sun; Jianyuan Guo; Yong Qin 002; Xuanchuan Zheng; Shifeng Xiong; Jie He; Qi Sun; Limin Jia 002 (Entropy, 2024)

Workshop on Sustainable AI for the Future Web. - Chang Xu 002; Yunke Wang; Jianyuan Guo; Daochang Liu; Minjing Dong; Yasmeen George; Johan Barthelemy; Yan Liu 002; Ling Chen 006 (WWW (Companion Volume), 2025)

Low-Precision Training of Large Language Models: Methods, Challenges, and Opportunities. - Zhiwei Hao; Jianyuan Guo; Li Shen 008; Yong Luo 002; Han Hu 003; Guoxia Wang; Dianhai Yu; Yonggang Wen 001; Dacheng Tao (CoRR, 2025)

Bridging Sign and Spoken Languages: Pseudo Gloss Generation for Sign Language Translation. - Jianyuan Guo; Peike Li; Trevor Cohn (CoRR, 2025)

Circle-RoPE: Cone-like Decoupled Rotary Positional Embedding for Large Vision-Language Models. - Chengcheng Wang; Jianyuan Guo; Hongguang Li; Yuchuan Tian; Ying Nie; Chang Xu; Kai Han (CoRR, 2025)

ADSeeker: A Knowledge-Infused Framework for Anomaly Detection and Reasoning. - Kai Zhang; Zekai Zhang; Xihe Sun; Jingmeng Nie; Qinghui Chen; Han Hao; Jianyuan Guo; Jinglin Zhang (CoRR, 2025)

ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning. - Zhiwei Hao; Jianyuan Guo; Li Shen 008; Yong Luo 002; Han Hu 003; Yonggang Wen 001 (Int. J. Comput. Vis., 2025)