Weiming Hu - RankMe

62 papers A* 10B 4Misc 1Journal 31Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Illusion of Forgetting: Attack Unlearned Diffusion via Initial Latent Variable Optimization. CoRR Manyi Li, Yufan Liu, Lai Jiang, Bing Li, Yuming Li, Weiming Hu
2025	A*	`conf`	D-RAG: Differentiable Retrieval-Augmented Generation for Knowledge Graph Question Answering. EMNLP Guangze Gao, Zixuan Li, Chunfeng Yuan, Jiawei Li, Wu Jianzhuo, Yuehao Zhang, Xiaolong Jin, Bing Li, Weiming Hu
2025	A*	`conf`	DeepTAGE: Deep Temporal-Aligned Gradient Enhancement for Optimizing Spiking Neural Networks. ICLR Wei Liu, Li Yang, Mingxuan Zhao, Shuxun Wang, Jin Gao, Wenjuan Li, Bing Li, Weiming Hu
2025	—	`conf`	Dual-Head Feature Enhancement for Graph-Based Cross-View Multi-object Tracking. ICANN (2) Yunfei Zhang, Jin Gao, Wen-Juan Li, Weiming Hu
2025	J	`jnl`	Integer Binary-Range Alignment Neuron for Spiking Neural Networks. CoRR Binghao Ye, Wenjuan Li, Dong Wang, Man Yao, Bing Li, Weiming Hu, Dong Liang, Kun Shang
2025	J	`jnl`	LightBSR: Towards Lightweight Blind Super-Resolution via Discriminative Implicit Degradation Representation Learning. CoRR Jiang Yuan, Ji Ma, Bo Wang, Guanzhou Ke, Weiming Hu
2025	J	`jnl`	Predicting symptomatic carotid artery plaques with radiomics-based carotid perivascular adipose tissue characteristics: a multicenter, multiclassifier study. BMC Medical Imaging Ting Zhao, Guihan Lin, Weiyue Chen, Jianhua Wu, Weiming Hu, Lei Xu, Yongjun Chen, Yang Jing, Lin Shen, Shuiwei Xia, Chenying Lu, Minjiang Chen, Jiansong Ji, Weiqian Chen
2025	A*	`conf`	SSTrack: Sample-interval Scheduling for Lightweight Visual Object Tracking. IJCAI Yutong Kou, Shubo Lin, Liang Li, Bing Li, Weiming Hu, Jin Gao
2025	A*	`conf`	Towards More Discriminative Feature Learning in SNNs with Temporal-Self-Erasing Supervision. AAAI Wei Liu, Li Yang, Mingxuan Zhao, Dengfeng Xue, Shuxun Wang, Boyu Cai, Jin Gao, Wenjuan Li, Bing Li, Weiming Hu
2024	A*	`conf`	Animate3D: Animating Any 3D Model with Multi-view Video Diffusion. NeurIPS Yanqin Jiang, Chaohui Yu, Chenjie Cao, Fan Wang, Weiming Hu, Jin Gao
2024	J	`jnl`	Animate3D: Animating Any 3D Model with Multi-view Video Diffusion. CoRR Yanqin Jiang, Chaohui Yu, Chenjie Cao, Fan Wang, Weiming Hu, Jin Gao
2024	J	`jnl`	Content-decoupled Contrastive Learning-based Implicit Degradation Modeling for Blind Image Super-Resolution. CoRR Jiang Yuan, Ji Ma, Bo Wang, Weiming Hu
2024	—	`conf`	Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad Prediction. ACL (1) Yice Zhang, Jie Zeng, Weiming Hu, Ziyi Wang, Shiwei Chen, Ruifeng Xu
2024	J	`jnl`	Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad Prediction. CoRR Yice Zhang, Jie Zeng, Weiming Hu, Ziyi Wang, Shiwei Chen, Ruifeng Xu
2023	—	`conf`	A High Linearity Large Time Constants Switched-Resistor Filter for Biomedical Applications. ASICON Yajie Zhao, Yizhou Jiang, Weiming Hu, Yajie Qin
2023	J	`jnl`	A state-of-the-art survey of artificial neural networks for Whole-slide Image analysis: From popular Convolutional Neural Networks to potential visual transformers. Comput. Biol. Medicine Weiming Hu, Xintong Li, Chen Li, Rui Li, Tao Jiang, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek, Xiaoyan Li
2023	J	`jnl`	Improving metric-based few-shot learning with dynamically scaled softmax loss. Image Vis. Comput. Yu Zhang, Xin Zuo, Xuxu Zheng, Xiaoyong Gao, Bo Wang, Weiming Hu
2023	J	`jnl`	OII-DS: A benchmark Oral Implant Image Dataset for object detection and image classification evaluation. Comput. Biol. Medicine Qianqing Nie, Chen Li, Jinzhu Yang, Yudong Yao, Hongzan Sun, Tao Jiang, Marcin Grzegorzek, Ao Chen, Haoyuan Chen, Weiming Hu, Rui Li, Jiawei Zhang, Danning Wang
2023	B	`conf`	Predicting PD-L1 status of esophageal cancer from H&E images based on FusedNet model. IEEE Big Data Minghe Gao, Chen Li, Jingyu Zhang, Haoyuan Chen, Weiming Hu, Hechen Yang, Liyu Shi, Yujie Jing, Shuaiyi Tian, Hongzan Sun, Marcin Grzegorzek, Xiaoyan Li
2022	J	`jnl`	A Closer Look at Self-supervised Lightweight Vision Transformers. CoRR Shaoru Wang, Jin Gao, Zeming Li, Jian Sun, Weiming Hu
2022	J	`jnl`	A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer. CoRR Weiming Hu, Haoyuan Chen, Wanli Liu, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek, Chen Li
2022	J	`jnl`	CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron. CoRR Wanli Liu, Chen Li, Ning Xu, Tao Jiang, Md Mamunur Rahaman, Hongzan Sun, Xiangchen Wu, Weiming Hu, Haoyuan Chen, Changhao Sun, Yudong Yao, Marcin Grzegorzek
2022	J	`jnl`	CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron. Pattern Recognit. Wanli Liu, Chen Li, Ning Xu, Tao Jiang, Md Mamunur Rahaman, Hongzan Sun, Xiangchen Wu, Weiming Hu, Haoyuan Chen, Changhao Sun, Yudong Yao, Marcin Grzegorzek
2022	J	`jnl`	DSPNet: Towards Slimmable Pretrained Networks based on Discriminative Self-supervised Learning. CoRR Shaoru Wang, Zeming Li, Jin Gao, Liang Li, Weiming Hu
2022	—	`conf`	DVT: Application of Deep Visual Transformer in Cervical Cell Image Classification. ITIB Wanli Liu, Chen Li, Hongzan Sun, Weiming Hu, Haoyuan Chen, Marcin Grzegorzek
2022	J	`jnl`	EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks. CoRR Liyu Shi, Xiaoyan Li, Weiming Hu, Haoyuan Chen, Jing Chen, Zizhen Fan, Minghe Gao, Yujie Jing, Guotao Lu, Deguo Ma, Zhiyu Ma, Qingtao Meng, Dechao Tang, Hongzan Sun, Marcin Grzegorzek, Shouliang Qi, Yueyang Teng, Chen Li
2022	J	`jnl`	EBHI: A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation. CoRR Weiming Hu, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Yong Zhang, Haoyuan Chen, Wanli Liu, Yudong Yao, Hongzan Sun, Ning Xu, Xinyu Huang, Marcin Grzegorzek
2022	J	`jnl`	GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection. Pattern Recognit. Haoyuan Chen, Chen Li, Ge Wang, Xiaoyan Li, Md Mamunur Rahaman, Hongzan Sun, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Shiliang Ai, Marcin Grzegorzek
2022	J	`jnl`	GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer. Comput. Biol. Medicine Weiming Hu, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Jiquan Ma, Yong Zhang, Haoyuan Chen, Wanli Liu, Changhao Sun, Yudong Yao, Hongzan Sun, Marcin Grzegorzek
2022	J	`jnl`	IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach. Comput. Biol. Medicine Haoyuan Chen, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek
2022	J	`jnl`	IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach. CoRR Haoyuan Chen, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek
2022	J	`jnl`	Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: From convolutional neural networks to visual transformers. Comput. Biol. Medicine Wanli Liu, Chen Li, Md Mamunur Rahaman, Tao Jiang, Hongzan Sun, Xiangchen Wu, Weiming Hu, Haoyuan Chen, Changhao Sun, Yudong Yao, Marcin Grzegorzek
2021	J	`jnl`	A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Performer. CoRR Ao Chen, Chen Li, Haoyuan Chen, Hechen Yang, Peng Zhao, Weiming Hu, Wanli Liu, Shuojia Zou, Marcin Grzegorzek
2021	J	`jnl`	A New Gastric Histopathology Subsize Image Database (GasHisSDB) for Classification Algorithm Test: from Linear Regression to Visual Transformer. CoRR Weiming Hu, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Jiquan Ma, Haoyuan Chen, Wanli Liu, Changhao Sun, Marcin Grzegorzek
2021	A*	`conf`	Differentiable Convolution Search for Point Cloud Processing. ICCV Xing Nie, Yongcheng Liu, Shaohong Chen, Jianlong Chang, Chunlei Huo, Gaofeng Meng, Qi Tian, Weiming Hu, Chunhong Pan
2021	J	`jnl`	Differentiable Convolution Search for Point Cloud Processing. CoRR Xing Nie, Yongcheng Liu, Shaohong Chen, Jianlong Chang, Chunlei Huo, Gaofeng Meng, Qi Tian, Weiming Hu, Chunhong Pan
2021	J	`jnl`	GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathology Image Classification. CoRR Haoyuan Chen, Chen Li, Xiaoyan Li, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Yudong Yao, Marcin Grzegorzek
2021	J	`jnl`	Is Image Size Important? A Robustness Comparison of Deep Learning Methods for Multi-scale Cell Image Classification Tasks: from Convolutional Neural Networks to Visual Transformers. CoRR Wanli Liu, Chen Li, Hongzan Sun, Weiming Hu, Haoyuan Chen, Changhao Sun, Marcin Grzegorzek
2021	J	`jnl`	Weather Analogs with a Machine Learning Similarity Metric for Renewable Resource Forecasting. CoRR Weiming Hu, Guido Cervone, George Young, Luca Delle Monache
2020	A*	`conf`	Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking. CVPR Jin Gao, Weiming Hu, Yan Lu
2019	—	`conf`	ADNet: Appearance and Depth Features Network for Visual Object Tracking. CSSE Jing Li, Weiming Hu, Jinfeng Yang
2019	—	`conf`	The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhenhua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou
2017	A*	`conf`	Robust Visual Object Tracking with Top-down Reasoning. ACM Multimedia Mengdan Zhang, Jiashi Feng, Weiming Hu
2015	A*	`conf`	Multi-feature max-margin hierarchical Bayesian model for action recognition. CVPR Shuang Yang, Chunfeng Yuan, Baoxin Wu, Weiming Hu, Fangshi Wang
2014	B	`conf`	A Hierarchical Model Based on Latent Dirichlet Allocation for Action Recognition. ICPR Shuang Yang, Chunfeng Yuan, Weiming Hu, Xinmiao Ding
2014	A*	`conf`	Human Action Recognition Based on Context-Dependent Graph Kernels. CVPR Baoxin Wu, Chunfeng Yuan, Weiming Hu
2014	—	`conf`	Human Action Recognition Based on Oriented Motion Salient Regions. ACCV Workshops (1) Baoxin Wu, Shuang Yang, Chunfeng Yuan, Weiming Hu, Fangshi Wang
2014	J	`jnl`	Using the CER Hub to ensure data quality in a multi-institution smoking cessation study. J. Am. Medical Informatics Assoc. Kari L. Walker, Olga Kirillova, Suzanne E. Gillespie, David Hsiao, Valentyna Pishchalenko, Akshatha Kalsanka Pai, Jon Puro, Robert Plumley, Rustam Kudyakov, Weiming Hu, Art Allisany, MaryAnn McBurnie, Stephen E. Kurtz, Brian Hazlehurst
2013	—	`conf`	Discovering and Describing Activities by Trajectory Analysis. ACPR Guodong Tian, Chunfeng Yuan, Weiming Hu, Ruiguang Hu
2013	—	`conf`	Thorough Evaluation of the Discriminabilities of Four Voting Schemes in the Generation of Histogram of Orientation. PCM Ruiguang Hu, Weiming Hu
2013	Misc	`conf`	Using maximum consistency context for multiple target association in wide area traffic scenes. ICASSP Xinchu Shi, Peiyi Li, Haibin Ling, Weiming Hu, Erik Blasch
2012	B	`conf`	Context-driven moving vehicle detection in wide area motion imagery. ICPR Xinchu Shi, Haibin Ling, Erik Blasch, Weiming Hu
2011	—	`conf`	Adaptive tracking with patches and a new particle filter. ACPR Lin Ma, Weiming Hu
2011	—	`conf`	Drug-taking instruments recognition. ACPR Ruiguang Hu, Nianhua Xie, Weiming Hu
2011	—	`conf`	Interclass visual similarity based visual vocabulary learning. ACPR Guangming Chang, Chunfen Yuan, Weiming Hu
2011	—	`conf`	Multi-Modal Multiple-Instance Learning with the application to the cannabis webpage recognition. ACPR Yinjuan Wang, Nianhua Xie, Weiming Hu, Jinfeng Yang
2011	—	`conf`	Using Markov Random Field and subspaces to perform object tracking. ACPR Lin Ma, Weiming Hu
2010	—	`conf`	Image Set Classification Using Multi-layer Multiple Instance Learning with Application to Cannabis Website Classification. Web Intelligence Nianhua Xie, Haibin Ling, Weiming Hu
2006	B	`conf`	HIGCALS: a hierarchical graph-theoretic clustering active learning system. SMC Wei Hu, Weiming Hu
2005	—	`conf`	Network-Based Intrusion Detection Using Adaboost Algorithm. Web Intelligence Wei Hu, Weiming Hu
1986	J	`jnl`	Design and implementation of a gateway between two electronic mail systems. IEEE Commun. Mag. Weiming Hu
1985	J	`jnl`	Dataflow architecture for EEG patient monitor. SIGARCH Comput. Archit. News Weiming Hu