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ORCIDDing Zhou
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. 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.
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2020 – today
- 2024
[j16]Jiawei Huang
, Ding Zhou:
A scalable real-time computer vision system for student posture detection in smart classrooms. Educ. Inf. Technol. 29(1): 917-937 (2024)- [c33]Tingkai Liu, Yunzhe Tao, Haogeng Liu, Qihang Fan, Ding Zhou, Huaibo Huang, Ran He, Hongxia Yang:
DeVAn: Dense Video Annotation for Video-Language Models. ACL (1) 2024: 14305-14321 - [c32]Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang, Yangrui Chen, Zhi Zhang, Yanghua Peng, Xiang Li, Cong Xie, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Ding Zhou, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Haoran Wei, Zhang Zhang, Pengfei Nie, Leqi Zou, Sida Zhao, Liang Xiang, Zherui Liu, Zhe Li, Xiaoying Jia, Jianxi Ye, Xin Jin, Xin Liu:
MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs. NSDI 2024: 745-760 - [i6]Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang, Yangrui Chen, Zhi Zhang, Yanghua Peng, Xiang Li, Cong Xie, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Ding Zhou, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Haoran Wei, Zhang Zhang, Pengfei Nie, Leqi Zou, Sida Zhao, Liang Xiang, Zherui Liu, Zhe Li, Xiaoying Jia, Jianxi Ye, Xin Jin, Xin Liu:
MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs. CoRR abs/2402.15627 (2024) - [i5]Zhiyin Qiu, Ding Zhou, Yahui Zhai, Bo Liu, Lei He, Jiuxin Cao:
VAEMax: Open-Set Intrusion Detection based on OpenMax and Variational Autoencoder. CoRR abs/2403.04193 (2024) - 2023
- [j15]Xin Jin, Xiuliang Xi, Ding Zhou, Xiaoxuan Ren, Jie Yang, Qian Jiang:
An unsupervised multi-focus image fusion method based on Transformer and U-Net. IET Image Process. 17(3): 733-746 (2023) - [j14]Zeming Liu, Ding Zhou, Hao Liu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu, Hui Xiong:
Graph-Grounded Goal Planning for Conversational Recommendation. IEEE Trans. Knowl. Data Eng. 35(5): 4923-4939 (2023) - [c31]Rui Zha, Ding Zhou, Le Zhang, Tong Xu:
The Way to Success: A Multi-level Attentive Embedding Framework for Proposal Teamwork Analysis in Voting-Oriented System. APWeb-WAIM (1) 2023: 315-330 - [c30]Yuxiao Chen, Jianbo Yuan, Yu Tian, Shijie Geng, Xinyu Li, Ding Zhou, Dimitris N. Metaxas, Hongxia Yang:
Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens. CVPR 2023: 15095-15104 - [i4]Yuxiao Chen, Jianbo Yuan, Yu Tian, Shijie Geng, Xinyu Li, Ding Zhou, Dimitris N. Metaxas, Hongxia Yang:
Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens. CoRR abs/2303.14865 (2023) - [i3]Tingkai Liu, Yunzhe Tao, Haogeng Liu, Qihang Fan, Ding Zhou, Huaibo Huang, Ran He, Hongxia Yang:
Video-CSR: Complex Video Digest Creation for Visual-Language Models. CoRR abs/2310.05060 (2023) - 2022
- [j13]Zhong Xiang, Huaxiong Wu, Ding Zhou:
Metallic debossed characters industrial online non-segmentation identification based on improved multi-scale image fusion enhancement and deep neural network. IET Image Process. 16(3): 852-868 (2022) - [j12]Ding Zhou, Xin Jin, Qian Jiang, Li Cai, Shin-Jye Lee, Shaowen Yao:
MCRD-Net: An unsupervised dense network with multi-scale convolutional block attention for multi-focus image fusion. IET Image Process. 16(6): 1558-1574 (2022) - [j11]Zhong Xiang, Huaxiong Wu, Ding Zhou:
Recognition of characters on curved metal workpiece surfaces based on multi-exposure image fusion and deep neural networks. Neurocomputing 512: 117-129 (2022) - 2021
- [j10]Ming Zheng, Tong Li, Xiaoyao Zheng, Qingying Yu, Chuanming Chen, Ding Zhou, Changlong Lv, Weiyi Yang:
UFFDFR: Undersampling framework with denoising, fuzzy c-means clustering, and representative sample selection for imbalanced data classification. Inf. Sci. 576: 658-680 (2021) - [j9]Qing Ai, Ding Zhou:
Semi-supervised learning induced abnormal emotional tendency analysis in British culture. Internet Technol. Lett. 4(3) (2021) - [j8]Scott Rome, Tianwen Chen, Michael Kreisel, Ding Zhou:
Lessons on off-policy methods from a notification component of a chatbot. Mach. Learn. 110(9): 2577-2602 (2021) - [j7]Lintao Fang, Le Zhang, Han Wu, Tong Xu, Ding Zhou, Enhong Chen:
Patent2Vec: Multi-view representation learning on patent-graphs for patent classification. World Wide Web 24(5): 1791-1812 (2021) - [c29]Ding Zhou, Hao Liu, Tong Xu, Le Zhang, Rui Zha, Hui Xiong:
Transportation Recommendation with Fairness Consideration. DASFAA (3) 2021: 566-578 - [c28]Le Zhang, Ding Zhou, Hengshu Zhu, Tong Xu, Rui Zha, Enhong Chen, Hui Xiong:
Attentive Heterogeneous Graph Embedding for Job Mobility Prediction. KDD 2021: 2192-2201 - [c27]Qiming Hao, Le Zhang, Rui Zha, Ding Zhou, Zhe Zhang, Tong Xu, Enhong Chen:
Urban Crowd Density Prediction Based on Multi-relational Graph. MDM 2021: 39-48 - 2020
- [j6]Kun Song, Xichuan Liu, Mingzhong Zou, Ding Zhou, Haonan Wu, Feng Ji:
Experimental Study of Detecting Rainfall Using Microwave Links: Classification of Wet and Dry Periods. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 5264-5271 (2020) - [j5]An Zhang, Pan Yang, Ding Zhou:
Event-triggered finite-time consensus control under uncertain disturbances with fully continuous communication and chattering free. Trans. Inst. Meas. Control 42(2): 228-243 (2020) - [c26]Ding Zhou, Xue-Xin Wei:
Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE. NeurIPS 2020 - [c25]Ding Zhou, Yuanjun Gao, Liam Paninski:
Disentangled Sticky Hierarchical Dirichlet Process Hidden Markov Model. ECML/PKDD (1) 2020: 612-627 - [i2]Ding Zhou, Yuanjun Gao, Liam Paninski:
Disentangled sticky hierarchical Dirichlet process hidden Markov model. CoRR abs/2004.03019 (2020) - [i1]Ding Zhou, Xue-Xin Wei:
Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE. CoRR abs/2011.04798 (2020)
2010 – 2019
- 2019
- [j4]An Zhang, Ding Zhou, Mi Yang, Pan Yang:
Finite-Time Formation Control for Unmanned Aerial Vehicle Swarm System With Time-Delay and Input Saturation. IEEE Access 7: 5853-5864 (2019) - [c24]Ding Zhou, An Zhang, Pan Yang, Mi Yang:
Finite-time consensus of second-order multi-agent systems with time-delay and connectivity preservation. SMC 2019: 1782-1787 - 2018
- [j3]Mingliang Suo, Ruoming An, Ding Zhou, Shunli Li:
Grid-clustered rough set model for self-learning and fast reduction. Pattern Recognit. Lett. 106: 61-68 (2018) - [j2]Nie He, Zhuoyan Li, Gongshen Zhang, An-An Liu, Ding Zhou, Peng Chen, Chengxiang Liu, Xu Wu:
Temperature Stability of a Hybrid Polarization-Maintaining Photonic Crystal Fiber Resonator and Its Application in a Resonant Fiber Optic Gyro. Sensors 18(8): 2506 (2018) - 2017
- [j1]Baolong Zhu, Zhiping Zhang, Ding Zhou, Jie Ma, Shunli Li:
Prediction-based sampled-data H∞ controller design for attitude stabilisation of a rigid spacecraft with disturbances. Int. J. Syst. Sci. 48(11): 2356-2367 (2017) - 2011
- [c23]Chi Wang, Rajat Raina, David Fong, Ding Zhou, Jiawei Han, Greg J. Badros:
Learning relevance from heterogeneous social network and its application in online targeting. SIGIR 2011: 655-664 - 2010
- [c22]Zhenhui Li, Ding Zhou, Yun-Fang Juan, Jiawei Han:
Keyword extraction for social snippets. WWW 2010: 1143-1144
2000 – 2009
- 2009
- [c21]Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee Giles:
Finding topic trends in digital libraries. JCDL 2009: 69-72 - [c20]Jiang Bian, Yandong Liu, Ding Zhou, Eugene Agichtein, Hongyuan Zha:
Learning to recognize reliable users and content in social media with coupled mutual reinforcement. WWW 2009: 51-60 - 2008
- [c19]Ding Zhou, Shenghuo Zhu, Kai Yu, Xiaodan Song, Belle L. Tseng, Hongyuan Zha, C. Lee Giles:
Learning multiple graphs for document recommendations. WWW 2008: 141-150 - [c18]Ding Zhou, Jiang Bian, Shuyi Zheng, Hongyuan Zha, C. Lee Giles:
Exploring social annotations for information retrieval. WWW 2008: 715-724 - 2007
- [c17]Shuyi Zheng, Ding Zhou, Jia Li, C. Lee Giles:
Extracting Author Meta-Data from Web Using Visual Features. ICDM Workshops 2007: 33-40 - [c16]Ding Zhou, Sergey A. Orshanskiy, Hongyuan Zha, C. Lee Giles:
Co-ranking Authors and Documents in a Heterogeneous Network. ICDM 2007: 739-744 - [c15]Ding Zhou, Isaac G. Councill, Hongyuan Zha, C. Lee Giles:
Discovering Temporal Communities from Social Network Documents. ICDM 2007: 745-750 - [c14]Ding Zhou, Levent Bolelli, Jia Li, C. Lee Giles, Hongyuan Zha:
Learning User Clicks in Web Search. IJCAI 2007: 1162-1167 - [c13]Yang Song, Jian Huang, Ding Zhou, Hongyuan Zha, C. Lee Giles:
IKNN: Informative K-Nearest Neighbor Pattern Classification. PKDD 2007: 248-264 - [c12]Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee Giles:
K-SVMeans: A Hybrid Clustering Algorithm for Multi-Type Interrelated Datasets. Web Intelligence 2007: 198-204 - [c11]Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee Giles:
A clustering method for web data with multi-type interrelated components. WWW 2007: 1121-1122 - 2006
- [c10]Ding Zhou, Xiang Ji, Hongyuan Zha, C. Lee Giles:
Topic evolution and social interactions: how authors effect research. CIKM 2006: 248-257 - [c9]Bingjun Sun, Ding Zhou, Hongyuan Zha, John Yen:
Multi-task text segmentation and alignment based on weighted mutual information. CIKM 2006: 846-847 - [c8]Yang Song, Ding Zhou, Jian Huang, Isaac G. Councill, Hongyuan Zha, C. Lee Giles:
Boosting the Feature Space: Text Classification for Unstructured Data on the Web. ICDM 2006: 1064-1069 - [c7]Chris H. Q. Ding, Ding Zhou, Xiaofeng He, Hongyuan Zha:
R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization. ICML 2006: 281-288 - [c6]Huajing Li, Isaac G. Councill, Levent Bolelli, Ding Zhou, Yang Song, Wang-Chien Lee, Anand Sivasubramaniam, C. Lee Giles:
CiteSeerchi: a scalable autonomous scientific digital library. Infoscale 2006: 18 - [c5]Ding Zhou, Eren Manavoglu, Jia Li, C. Lee Giles, Hongyuan Zha:
Probabilistic models for discovering e-communities. WWW 2006: 173-182 - 2005
- [c4]Zunping Cheng, Ding Zhou, Chen Wang, Jiankui Guo, Wei Wang, Baokang Ding, Baile Shi:
CLINCH: Clustering Incomplete High-Dimensional Data for Data Mining Application. APWeb 2005: 88-99 - [c3]Ding Zhou, Jia Li, Hongyuan Zha:
A new Mallows distance based metric for comparing clusterings. ICML 2005: 1028-1035 - [c2]Ding Zhou, Yang Song, Hongyuan Zha, Ya Zhang:
Towards discovering organizational structure from email corpus. ICMLA 2005 - 2004
- [c1]Ding Zhou, Zunping Cheng, Chen Wang, Haofeng Zhou, Wei Wang, Baile Shi:
SUDEPHIC: Self-Tuning Density-Based Partitioning and Hierarchical Clustering. DASFAA 2004: 554-567
Coauthor Index
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last updated on 2024-10-07 22:11 CEST by the dblp team
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