Ding Zhou

According to our database, Ding Zhou authored at least 49 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A scalable real-time computer vision system for student posture detection in smart classrooms.

Jiawei Huang, Ding Zhou

Educ. Inf. Technol., January, 2024

VAEMax: Open-Set Intrusion Detection based on OpenMax and Variational Autoencoder.

Zhiyin Qiu, Ding Zhou, Yahui Zhai, Bo Liu, Lei He, Jiuxin Cao

CoRR, 2024

MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs.

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

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

2023

Graph-Grounded Goal Planning for Conversational Recommendation.

Zeming Liu, Ding Zhou, Hao Liu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu, Hui Xiong

IEEE Trans. Knowl. Data Eng., May, 2023

An unsupervised multi-focus image fusion method based on Transformer and U-Net.

Xin Jin, Xiuliang Xi, Ding Zhou, Xiaoxuan Ren, Jie Yang, Qian Jiang

IET Image Process., February, 2023

Video-CSR: Complex Video Digest Creation for Visual-Language Models.

Tingkai Liu, Yunzhe Tao, Haogeng Liu, Qihang Fan, Ding Zhou, Huaibo Huang, Ran He, Hongxia Yang

CoRR, 2023

Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens.

Yuxiao Chen, Jianbo Yuan, Yu Tian, Shijie Geng, Xinyu Li, Ding Zhou, Dimitris N. Metaxas, Hongxia Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Recognition of characters on curved metal workpiece surfaces based on multi-exposure image fusion and deep neural networks.

Zhong Xiang, Huaxiong Wu, Ding Zhou

Neurocomputing, 2022

MCRD-Net: An unsupervised dense network with multi-scale convolutional block attention for multi-focus image fusion.

Ding Zhou, Xin Jin, Qian Jiang, Li Cai, Shin-Jye Lee, Shaowen Yao

IET Image Process., 2022

Metallic debossed characters industrial online non-segmentation identification based on improved multi-scale image fusion enhancement and deep neural network.

Zhong Xiang, Huaxiong Wu, Ding Zhou

IET Image Process., 2022

2021

Patent2Vec: Multi-view representation learning on patent-graphs for patent classification.

Lintao Fang, Le Zhang, Han Wu, Tong Xu, Ding Zhou, Enhong Chen

World Wide Web, 2021

Lessons on off-policy methods from a notification component of a chatbot.

Scott Rome, Tianwen Chen, Michael Kreisel, Ding Zhou

Mach. Learn., 2021

Semi-supervised learning induced abnormal emotional tendency analysis in British culture.

Qing Ai, Ding Zhou

Internet Technol. Lett., 2021

UFFDFR: Undersampling framework with denoising, fuzzy c-means clustering, and representative sample selection for imbalanced data classification.

Ming Zheng, Tong Li, Xiaoyao Zheng, Qingying Yu, Chuanming Chen, Ding Zhou, Changlong Lv, Weiyi Yang

Inf. Sci., 2021

Urban Crowd Density Prediction Based on Multi-relational Graph.

Qiming Hao, Le Zhang, Rui Zha, Ding Zhou, Zhe Zhang, Tong Xu, Enhong Chen

Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

Attentive Heterogeneous Graph Embedding for Job Mobility Prediction.

Le Zhang, Ding Zhou, Hengshu Zhu, Tong Xu, Rui Zha, Enhong Chen, Hui Xiong

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Transportation Recommendation with Fairness Consideration.

Ding Zhou, Hao Liu, Tong Xu, Le Zhang, Rui Zha, Hui Xiong

Proceedings of the Database Systems for Advanced Applications, 2021

2020

Event-triggered finite-time consensus control under uncertain disturbances with fully continuous communication and chattering free.

An Zhang, Pan Yang, Ding Zhou

Trans. Inst. Meas. Control, 2020

Experimental Study of Detecting Rainfall Using Microwave Links: Classification of Wet and Dry Periods.

Kun Song, Xichuan Liu, Mingzhong Zou, Ding Zhou, Haonan Wu, Feng Ji

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Disentangled Sticky Hierarchical Dirichlet Process Hidden Markov Model.

Ding Zhou, Yuanjun Gao, Liam Paninski

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE.

Ding Zhou, Xue-Xin Wei

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Finite-Time Formation Control for Unmanned Aerial Vehicle Swarm System With Time-Delay and Input Saturation.

An Zhang, Ding Zhou, Mi Yang, Pan Yang

IEEE Access, 2019

Finite-time consensus of second-order multi-agent systems with time-delay and connectivity preservation.

Ding Zhou, An Zhang, Pan Yang, Mi Yang

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2018

Temperature Stability of a Hybrid Polarization-Maintaining Photonic Crystal Fiber Resonator and Its Application in a Resonant Fiber Optic Gyro.

Nie He, Zhuoyan Li, Gongshen Zhang, An-An Liu, Ding Zhou, Peng Chen, Chengxiang Liu, Xu Wu

Sensors, 2018

Grid-clustered rough set model for self-learning and fast reduction.

Mingliang Suo, Ruoming An, Ding Zhou, Shunli Li

Pattern Recognit. Lett., 2018

2017

Prediction-based sampled-data H∞ controller design for attitude stabilisation of a rigid spacecraft with disturbances.

Baolong Zhu, Zhiping Zhang, Ding Zhou, Jie Ma, Shunli Li

Int. J. Syst. Sci., 2017

2011

Learning relevance from heterogeneous social network and its application in online targeting.

Chi Wang, Rajat Raina, David Fong, Ding Zhou, Jiawei Han, Greg J. Badros

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

2010

Keyword extraction for social snippets.

Zhenhui Li, Ding Zhou, Yun-Fang Juan, Jiawei Han

Proceedings of the 19th International Conference on World Wide Web, 2010

2009

Learning to recognize reliable users and content in social media with coupled mutual reinforcement.

Jiang Bian, Yandong Liu, Ding Zhou, Eugene Agichtein, Hongyuan Zha

Proceedings of the 18th International Conference on World Wide Web, 2009

Finding topic trends in digital libraries.

Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee Giles

Proceedings of the 2009 Joint International Conference on Digital Libraries, 2009

2008

Learning multiple graphs for document recommendations.

Ding Zhou, Shenghuo Zhu, Kai Yu, Xiaodan Song, Belle L. Tseng, Hongyuan Zha, C. Lee Giles

Proceedings of the 17th International Conference on World Wide Web, 2008

Exploring social annotations for information retrieval.

Ding Zhou, Jiang Bian, Shuyi Zheng, Hongyuan Zha, C. Lee Giles

Proceedings of the 17th International Conference on World Wide Web, 2008

2007

A clustering method for web data with multi-type interrelated components.

Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee Giles

Proceedings of the 16th International Conference on World Wide Web, 2007

K-SVMeans: A Hybrid Clustering Algorithm for Multi-Type Interrelated Datasets.

Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee Giles

Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

IKNN: Informative K-Nearest Neighbor Pattern Classification.

Yang Song, Jian Huang, Ding Zhou, Hongyuan Zha, C. Lee Giles

Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Learning User Clicks in Web Search.

Ding Zhou, Levent Bolelli, Jia Li, C. Lee Giles, Hongyuan Zha

Proceedings of the IJCAI 2007, 2007

Co-ranking Authors and Documents in a Heterogeneous Network.

Ding Zhou, Sergey A. Orshanskiy, Hongyuan Zha, C. Lee Giles

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Discovering Temporal Communities from Social Network Documents.

Ding Zhou, Isaac G. Councill, Hongyuan Zha, C. Lee Giles

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Extracting Author Meta-Data from Web Using Visual Features.

Shuyi Zheng, Ding Zhou, Jia Li, C. Lee Giles

Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006

Probabilistic models for discovering e-communities.

Ding Zhou, Eren Manavoglu, Jia Li, C. Lee Giles, Hongyuan Zha

Proceedings of the 15th international conference on World Wide Web, 2006

CiteSeer^chi: a scalable autonomous scientific digital library.

Huajing Li, Isaac G. Councill, Levent Bolelli, Ding Zhou, Yang Song, Wang-Chien Lee, Anand Sivasubramaniam, C. Lee Giles

Proceedings of the 1st International Conference on Scalable Information Systems, 2006

<i>R</i>₁-PCA: rotational invariant <i>L</i>₁-norm principal component analysis for robust subspace factorization.

Chris H. Q. Ding, Ding Zhou, Xiaofeng He, Hongyuan Zha

Proceedings of the Machine Learning, 2006

Boosting the Feature Space: Text Classification for Unstructured Data on the Web.

Yang Song, Ding Zhou, Jian Huang, Isaac G. Councill, Hongyuan Zha, C. Lee Giles

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Topic evolution and social interactions: how authors effect research.

Ding Zhou, Xiang Ji, Hongyuan Zha, C. Lee Giles

Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

Multi-task text segmentation and alignment based on weighted mutual information.

Bingjun Sun, Ding Zhou, Hongyuan Zha, John Yen

Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005

Towards discovering organizational structure from email corpus.

Ding Zhou, Yang Song, Hongyuan Zha, Ya Zhang

Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

A new Mallows distance based metric for comparing clusterings.

Ding Zhou, Jia Li, Hongyuan Zha

Proceedings of the Machine Learning, 2005

CLINCH: Clustering Incomplete High-Dimensional Data for Data Mining Application.

Zunping Cheng, Ding Zhou, Chen Wang, Jiankui Guo, Wei Wang, Baokang Ding, Baile Shi

Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005

2004

SUDEPHIC: Self-Tuning Density-Based Partitioning and Hierarchical Clustering.

Ding Zhou, Zunping Cheng, Chen Wang, Haofeng Zhou, Wei Wang, Baile Shi

Proceedings of the Database Systems for Advances Applications, 2004