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ORCIDWeiming Hu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Weiming Hu 0001
![[0000-0003-4501-1435]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4501-1435")
— Pennsylvania State University, University Park, PA, USA - Weiming Hu 0002 — Southeast University, Nanjing, Jiangsu, China
- Weiming Hu 0003 — Faculty of Computing, HITSZ, Shenzhen, Guangdong, China
- Weiming Hu 0004 — ShanghaiTech University, Shanghai, China
- Weiming Hu 0005 — Shanghai Jiao Tong University, Shanghai, China
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2020 – today
- 2025
[j12]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:
Predicting symptomatic carotid artery plaques with radiomics-based carotid perivascular adipose tissue characteristics: a multicenter, multiclassifier study. BMC Medical Imaging 25(1): 337 (2025)- [c32]Wei Liu, Li Yang, Mingxuan Zhao, Dengfeng Xue, Shuxun Wang, Boyu Cai, Jin Gao, Wenjuan Li, Bing Li, Weiming Hu:
Towards More Discriminative Feature Learning in SNNs with Temporal-Self-Erasing Supervision. AAAI 2025: 1420-1428 - [c31]Guangze Gao, Zixuan Li, Chunfeng Yuan, Jiawei Li, Wu Jianzhuo, Yuehao Zhang, Xiaolong Jin, Bing Li, Weiming Hu:
D-RAG: Differentiable Retrieval-Augmented Generation for Knowledge Graph Question Answering. EMNLP 2025: 35398-35417 - [c30]Yunfei Zhang, Jin Gao, Wen-Juan Li, Weiming Hu:
Dual-Head Feature Enhancement for Graph-Based Cross-View Multi-object Tracking. ICANN (2) 2025: 643-655 - [c29]Wei Liu, Li Yang, Mingxuan Zhao, Shuxun Wang, Jin Gao, Wenjuan Li, Bing Li, Weiming Hu:
DeepTAGE: Deep Temporal-Aligned Gradient Enhancement for Optimizing Spiking Neural Networks. ICLR 2025 - [c28]Yutong Kou, Shubo Lin, Liang Li, Bing Li, Weiming Hu, Jin Gao:
SSTrack: Sample-interval Scheduling for Lightweight Visual Object Tracking. IJCAI 2025: 1314-1322 - [i21]Binghao Ye, Wenjuan Li, Dong Wang, Man Yao, Bing Li, Weiming Hu, Dong Liang, Kun Shang:
Integer Binary-Range Alignment Neuron for Spiking Neural Networks. CoRR abs/2506.05679 (2025) - [i20]Jiang Yuan, Ji Ma, Bo Wang, Guanzhou Ke, Weiming Hu:
LightBSR: Towards Lightweight Blind Super-Resolution via Discriminative Implicit Degradation Representation Learning. CoRR abs/2506.22710 (2025) - [i19]Hanshi Wang, Jin Gao, Weiming Hu, Zhipeng Zhang:
MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection. CoRR abs/2507.04369 (2025) - [i18]Hanshi Wang, Yuhao Xu, Zekun Xu, Jin Gao, Yufan Liu, Weiming Hu, Ke Wang, Zhipeng Zhang:
AutoPrune: Each Complexity Deserves a Pruning Policy. CoRR abs/2509.23931 (2025) - [i17]Hanshi Wang, Zijian Cai, Jin Gao, Yiwei Zhang, Weiming Hu, Ke Wang, Zhipeng Zhang:
Online Segment Any 3D Thing as Instance Tracking. CoRR abs/2512.07599 (2025) - 2024
- [c27]Yice Zhang, Jie Zeng, Weiming Hu, Ziyi Wang, Shiwei Chen, Ruifeng Xu:
Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad Prediction. ACL (1) 2024: 11862-11875 - [c26]Hanshi Wang, Zhipeng Zhang, Jin Gao, Weiming Hu:
A-Teacher: Asymmetric Network for 3D Semi-Supervised Object Detection. CVPR 2024: 14978-14987 - [c25]Yanqin Jiang, Chaohui Yu, Chenjie Cao, Fan Wang, Weiming Hu, Jin Gao:
Animate3D: Animating Any 3D Model with Multi-view Video Diffusion. NeurIPS 2024 - [i16]Yice Zhang, Jie Zeng, Weiming Hu, Ziyi Wang, Shiwei Chen, Ruifeng Xu:
Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad Prediction. CoRR abs/2406.18078 (2024) - [i15]Yanqin Jiang, Chaohui Yu, Chenjie Cao, Fan Wang, Weiming Hu, Jin Gao:
Animate3D: Animating Any 3D Model with Multi-view Video Diffusion. CoRR abs/2407.11398 (2024) - [i14]Jiang Yuan, Ji Ma, Bo Wang, Weiming Hu:
Content-decoupled Contrastive Learning-based Implicit Degradation Modeling for Blind Image Super-Resolution. CoRR abs/2408.05440 (2024) - 2023
- [j11]Weiming Hu, Xintong Li, Chen Li, Rui Li, Tao Jiang, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek, Xiaoyan Li:
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 161: 107034 (2023) - [j10]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:
OII-DS: A benchmark Oral Implant Image Dataset for object detection and image classification evaluation. Comput. Biol. Medicine 167: 107620 (2023) - [j9]Yu Zhang, Xin Zuo, Xuxu Zheng, Xiaoyong Gao, Bo Wang, Weiming Hu:
Improving metric-based few-shot learning with dynamically scaled softmax loss. Image Vis. Comput. 140: 104860 (2023) - [c24]Yajie Zhao, Yizhou Jiang, Weiming Hu, Yajie Qin:
A High Linearity Large Time Constants Switched-Resistor Filter for Biomedical Applications. ASICON 2023: 1-4 - [c23]Minghe Gao, Chen Li, Jingyu Zhang, Haoyuan Chen, Weiming Hu, Hechen Yang, Liyu Shi, Yujie Jing, Shuaiyi Tian, Hongzan Sun, Marcin Grzegorzek, Xiaoyan Li:
Predicting PD-L1 status of esophageal cancer from H&E images based on FusedNet model. IEEE Big Data 2023: 4397-4405 - 2022
- [j8]Wanli Liu, Chen Li, Md Mamunur Rahaman, Tao Jiang, Hongzan Sun, Xiangchen Wu, Weiming Hu, Haoyuan Chen, Changhao Sun, Yudong Yao, Marcin Grzegorzek:
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 141: 105026 (2022) - [j7]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:
GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer. Comput. Biol. Medicine 142: 105207 (2022) - [j6]Haoyuan Chen, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek:
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach. Comput. Biol. Medicine 143: 105265 (2022) - [j5]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:
GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection. Pattern Recognit. 130: 108827 (2022) - [j4]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:
CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron. Pattern Recognit. 130: 108829 (2022) - [c22]Wanli Liu, Chen Li, Hongzan Sun, Weiming Hu, Haoyuan Chen, Marcin Grzegorzek:
DVT: Application of Deep Visual Transformer in Cervical Cell Image Classification. ITIB 2022: 285-294 - [i13]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:
EBHI: A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation. CoRR abs/2202.08552 (2022) - [i12]Weiming Hu, Haoyuan Chen, Wanli Liu, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek, Chen Li:
A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer. CoRR abs/2205.12843 (2022) - [i11]Shaoru Wang, Jin Gao, Zeming Li, Jian Sun, Weiming Hu:
A Closer Look at Self-supervised Lightweight Vision Transformers. CoRR abs/2205.14443 (2022) - [i10]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:
CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron. CoRR abs/2206.00971 (2022) - [i9]Haoyuan Chen, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek:
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach. CoRR abs/2206.03368 (2022) - [i8]Shaoru Wang, Zeming Li, Jin Gao, Liang Li, Weiming Hu:
DSPNet: Towards Slimmable Pretrained Networks based on Discriminative Self-supervised Learning. CoRR abs/2207.06075 (2022) - [i7]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:
EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks. CoRR abs/2212.00532 (2022) - 2021
- [c21]Xing Nie, Yongcheng Liu, Shaohong Chen, Jianlong Chang, Chunlei Huo, Gaofeng Meng, Qi Tian, Weiming Hu, Chunhong Pan:
Differentiable Convolution Search for Point Cloud Processing. ICCV 2021: 7417-7426 - [i6]Weiming Hu, Guido Cervone, George Young, Luca Delle Monache:
Weather Analogs with a Machine Learning Similarity Metric for Renewable Resource Forecasting. CoRR abs/2103.04530 (2021) - [i5]Haoyuan Chen, Chen Li, Xiaoyan Li, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Yudong Yao, Marcin Grzegorzek:
GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathology Image Classification. CoRR abs/2104.14528 (2021) - [i4]Wanli Liu, Chen Li, Hongzan Sun, Weiming Hu, Haoyuan Chen, Changhao Sun, Marcin Grzegorzek:
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 abs/2105.07402 (2021) - [i3]Ao Chen, Chen Li, Haoyuan Chen, Hechen Yang, Peng Zhao, Weiming Hu, Wanli Liu, Shuojia Zou, Marcin Grzegorzek:
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 abs/2106.01927 (2021) - [i2]Weiming Hu, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Jiquan Ma, Haoyuan Chen, Wanli Liu, Changhao Sun, Marcin Grzegorzek:
A New Gastric Histopathology Subsize Image Database (GasHisSDB) for Classification Algorithm Test: from Linear Regression to Visual Transformer. CoRR abs/2106.02473 (2021) - [i1]Xing Nie, Yongcheng Liu, Shaohong Chen, Jianlong Chang, Chunlei Huo, Gaofeng Meng, Qi Tian, Weiming Hu, Chunhong Pan:
Differentiable Convolution Search for Point Cloud Processing. CoRR abs/2108.12856 (2021) - 2020
- [c20]Jin Gao, Weiming Hu, Yan Lu:
Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking. CVPR 2020: 7384-7393
2010 – 2019
- 2019
- [c19]Jing Li, Weiming Hu, Jinfeng Yang:
ADNet: Appearance and Depth Features Network for Visual Object Tracking. CSSE 2019: 84-88 - [c18]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:
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 2019: 2206-2241 - 2017
- [c17]Mengdan Zhang, Jiashi Feng, Weiming Hu:
Robust Visual Object Tracking with Top-down Reasoning. ACM Multimedia 2017: 226-234 - 2015
- [c16]Shuang Yang, Chunfeng Yuan, Baoxin Wu, Weiming Hu, Fangshi Wang:
Multi-feature max-margin hierarchical Bayesian model for action recognition. CVPR 2015: 1610-1618 - 2014
- [j3]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:
Using the CER Hub to ensure data quality in a multi-institution smoking cessation study. J. Am. Medical Informatics Assoc. 21(6): 1129-1135 (2014) - [c15]Baoxin Wu, Shuang Yang, Chunfeng Yuan, Weiming Hu, Fangshi Wang:
Human Action Recognition Based on Oriented Motion Salient Regions. ACCV Workshops (1) 2014: 113-128 - [c14]Baoxin Wu, Chunfeng Yuan, Weiming Hu:
Human Action Recognition Based on Context-Dependent Graph Kernels. CVPR 2014: 2609-2616 - [c13]Shuang Yang, Chunfeng Yuan, Weiming Hu, Xinmiao Ding:
A Hierarchical Model Based on Latent Dirichlet Allocation for Action Recognition. ICPR 2014: 2613-2618 - 2013
- [c12]Guodong Tian, Chunfeng Yuan, Weiming Hu, Ruiguang Hu:
Discovering and Describing Activities by Trajectory Analysis. ACPR 2013: 652-656 - [c11]Xinchu Shi, Peiyi Li, Haibin Ling, Weiming Hu, Erik Blasch:
Using maximum consistency context for multiple target association in wide area traffic scenes. ICASSP 2013: 2188-2192 - [c10]Ruiguang Hu, Weiming Hu:
Thorough Evaluation of the Discriminabilities of Four Voting Schemes in the Generation of Histogram of Orientation. PCM 2013: 835-845 - 2012
- [c9]Xinchu Shi, Haibin Ling, Erik Blasch, Weiming Hu:
Context-driven moving vehicle detection in wide area motion imagery. ICPR 2012: 2512-2515 - 2011
- [c8]Ruiguang Hu, Nianhua Xie, Weiming Hu:
Drug-taking instruments recognition. ACPR 2011: 90-94 - [c7]Yinjuan Wang, Nianhua Xie, Weiming Hu, Jinfeng Yang:
Multi-Modal Multiple-Instance Learning with the application to the cannabis webpage recognition. ACPR 2011: 105-109 - [c6]Lin Ma, Weiming Hu:
Adaptive tracking with patches and a new particle filter. ACPR 2011: 387-391 - [c5]Lin Ma, Weiming Hu:
Using Markov Random Field and subspaces to perform object tracking. ACPR 2011: 397-401 - [c4]Guangming Chang, Chunfen Yuan, Weiming Hu:
Interclass visual similarity based visual vocabulary learning. ACPR 2011: 465-469 - 2010
- [c3]Nianhua Xie, Haibin Ling, Weiming Hu:
Image Set Classification Using Multi-layer Multiple Instance Learning with Application to Cannabis Website Classification. Web Intelligence 2010: 58-65
2000 – 2009
- 2006
- [c2]Wei Hu, Weiming Hu:
HIGCALS: a hierarchical graph-theoretic clustering active learning system. SMC 2006: 3895-3900 - 2005
- [c1]Wei Hu, Weiming Hu:
Network-Based Intrusion Detection Using Adaboost Algorithm. Web Intelligence 2005: 712-717
1980 – 1989
- 1986
- [j2]Weiming Hu:
Design and implementation of a gateway between two electronic mail systems. IEEE Commun. Mag. 24(6): 18-23 (1986) - 1985
- [j1]Weiming Hu:
Dataflow architecture for EEG patient monitor. SIGARCH Comput. Archit. News 13(2): 3-10 (1985)
Coauthor Index
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