Jianyuan Guo - RankMe

90 papers A* 28Journal 57Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynamic Topology Awareness: Breaking the Granularity Rigidity in Vision-Language Navigation. CoRR Jiankun Peng, Jianyuan Guo, Ying Xu, Yue Liu, Jiashuang Yan, Xuanwei Ye, Houhua Li, Xiaoming Wang
2026	A*	`conf`	KTV: Keyframes and Key Tokens Selection for Efficient Training-Free Video LLMs. AAAI Baiyang Song, Jun Peng, Yuxin Zhang, Guangyao Chen, Feidiao Yang, Jianyuan Guo
2026	J	`jnl`	KTV: Keyframes and Key Tokens Selection for Efficient Training-Free Video LLMs. CoRR Baiyang Song, Jun Peng, Yuxin Zhang, Guangyao Chen, Feidiao Yang, Jianyuan Guo
2026	J	`jnl`	LightMoE: Reducing Mixture-of-Experts Redundancy through Expert Replacing. CoRR Jiawei Hao, Zhiwei Hao, Jianyuan Guo, Li Shen, Yong Luo, Han Hu, Dan Zeng
2026	J	`jnl`	MagTCN: A multi-scale adaptive graph-enhanced temporal convolutional network for variance-imbalanced multivariate passenger flow forecasting. Expert Syst. Appl. Rui Zhang, Jianyuan Guo, Yong Qin, Limin Jia
2026	J	`jnl`	PA-Attack: Guiding Gray-Box Attacks on LVLM Vision Encoders with Prototypes and Attention. CoRR Hefei Mei, Zirui Wang, Chang Xu, Jianyuan Guo, Minjing Dong
2026	J	`jnl`	Streaming-dLLM: Accelerating Diffusion LLMs via Suffix Pruning and Dynamic Decoding. CoRR Zhongyu Xiao, Zhiwei Hao, Jianyuan Guo, Yong Luo, Jia Liu, Jie Xu, Han Hu
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 data-driven approach to inferring travel trajectory during peak hours in urban rail transit systems. CoRR Jie He, Yong Qin, Jianyuan Guo, Xuan Sun, Xuanchuan Zheng
2025	J	`jnl`	ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning. Int. J. Comput. Vis. Zhiwei Hao, Jianyuan Guo, Li Shen, Yong Luo, Han Hu, Yonggang Wen
2025	J	`jnl`	ADSeeker: A Knowledge-Infused Framework for Anomaly Detection and Reasoning. CoRR Kai Zhang, Zekai Zhang, Xihe Sun, Jingmeng Nie, Qinghui Chen, Han Hao, Jianyuan Guo, Jinglin Zhang
2025	J	`jnl`	Bridging Sign and Spoken Languages: Pseudo Gloss Generation for Sign Language Translation. CoRR Jianyuan Guo, Peike Li, Trevor Cohn
2025	J	`jnl`	Circle-RoPE: Cone-like Decoupled Rotary Positional Embedding for Large Vision-Language Models. CoRR Chengcheng Wang, Jianyuan Guo, Hongguang Li, Yuchuan Tian, Ying Nie, Chang Xu, Kai Han
2025	J	`jnl`	Low-Precision Training of Large Language Models: Methods, Challenges, and Opportunities. CoRR Zhiwei Hao, Jianyuan Guo, Li Shen, Yong Luo, Han Hu, Guoxia Wang, Dianhai Yu, Yonggang Wen, Dacheng Tao
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	—	`conf`	Workshop on Sustainable AI for the Future Web. WWW (Companion Volume) Chang Xu, Yunke Wang, Jianyuan Guo, Daochang Liu, Minjing Dong, Yasmeen M. George, Johan Barthelemy, Yan Liu, Ling Chen
2024	J	`jnl`	A Spatiotemporal Probabilistic Graphical Model Based on Adaptive Expectation-Maximization Attention for Individual Trajectory Reconstruction Considering Incomplete Observations. Entropy Xuan Sun, Jianyuan Guo, Yong Qin, Xuanchuan Zheng, Shifeng Xiong, Jie He, Qi Sun, Limin Jia
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`	ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning. CoRR Zhiwei Hao, Jianyuan Guo, Li Shen, Yong Luo, Han Hu, Yonggang Wen
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`	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	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`	PrimKD: Primary Modality Guided Multimodal Fusion for RGB-D Semantic Segmentation. ACM Multimedia Zhiwei Hao, Zhongyu Xiao, Yong Luo, Jianyuan Guo, Jing Wang, Li Shen, Han Hu
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	—	`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`	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	A*	`conf`	Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion. ICLR Han Wu, Jie Yin, Bala Rajaratnam, Jianyuan Guo
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`	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	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
2023	A*	`conf`	VanillaNet: the Power of Minimalism in Deep Learning. NeurIPS Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao
2023	J	`jnl`	VanillaNet: the Power of Minimalism in Deep Learning. CoRR Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao
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`	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`	Brain-inspired Multilayer Perceptron with Spiking Neurons. CVPR Wenshuo Li, Hanting Chen, Jianyuan Guo, Ziyang Zhang, Yunhe Wang
2022	J	`jnl`	Brain-inspired Multilayer Perceptron with Spiking Neurons. CoRR Wenshuo Li, Hanting Chen, Jianyuan Guo, Ziyang Zhang, 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`	Face detection for rail transit passengers based on single shot detector and active learning. Multim. Tools Appl. Zhiwei Cao, Yong Qin, Yongling Li, Zhengyu Xie, Jianyuan Guo, Limin Jia
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`	Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion. CoRR Han Wu, Jie Yin, Bala Rajaratnam, Jianyuan Guo
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`	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	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`	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`	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	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	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`	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`	HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. CVPR Zhaohui Yang, Yunhe Wang, Xinghao Chen, Jianyuan Guo, Wei Zhang, Chao Xu, Chunjing Xu, Dacheng Tao, Chang Xu
2021	J	`jnl`	OCNet: Object Context for Semantic Segmentation. Int. J. Comput. Vis. Yuhui Yuan, Lang Huang, Jianyuan Guo, Chao Zhang, Xilin Chen, Jingdong 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`	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
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	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	J	`jnl`	HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. CoRR Zhaohui Yang, Yunhe Wang, Dacheng Tao, Xinghao Chen, Jianyuan Guo, Chunjing Xu, Chao 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	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	J	`jnl`	GhostNet: More Features from Cheap Operations. CoRR Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu
2019	J	`jnl`	Interlaced Sparse Self-Attention for Semantic Segmentation. CoRR Lang Huang, Yuhui Yuan, Jianyuan Guo, Chao Zhang, Xilin Chen, Jingdong Wang
2019	J	`jnl`	Short-Term Abnormal Passenger Flow Prediction Based on the Fusion of SVR and LSTM. IEEE Access Jianyuan Guo, Zhen Xie, Yong Qin, Limin Jia, Yaguan Wang
2018	A*	`conf`	Attribute-Aware Attention Model for Fine-grained Representation Learning. ACM Multimedia Kai Han, Jianyuan Guo, Chao Zhang, Mingjian Zhu
2018	—	`conf`	Feature Incay for Representation Regularization. ICLR (Workshop) Yuhui Yuan, Kuiyuan Yang, Jianyuan Guo, Chao Zhang, Jingdong Wang
2017	—	`conf`	Joint Supervision for Discriminative Feature Learning in Convolutional Neural Networks. CCCV (2) Jianyuan Guo, Yuhui Yuan, Chao Zhang
2013	—	`conf`	Trip planning considering Last Trains Running. ITSC Jianyuan Guo, Limin Jia, Yong Qin, Bo Wang