Di Wu (吴 迪)
Ph.D, Associate Professor
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, China

Location: Room 1518, No.266 Fangzheng Avenue,Shuitu Hi-tech Industrial Park, Shuitu Town, Beibei District, Chongqing, China
Biography | News | Publications | Projects | Education and Career | Services | Awards

Email: wudi.cigit@gmail.com;     
[Google Scholar] [GitHub] [ResearchGate] [Publons] [ORCID] [Wechat微信]

Biography

 I received the Ph.D. degree in Computer Science from Chongqing Institute of Green and Intelligent Technology (CIGIT), Chinese Academy of Sciences (CAS), Chongqing, China in 2019. I was a visiting scholar from April 2018 to April 2019 at the University of Louisiana, Lafayette, USA. Currently, I work in the CIGIT, CAS as an Associate Professor. I published over 40 papers, including top journals and conferences like TKDE, TNNLS, TSC, TSMC, TII, ICDM, WWW, IJCAI, etc. Google Scholar cited by more than 1000, H-Index 18. I serve as an Associate Editor for Frontiers in Neurorobotics (SCI, IF 2.65). I am a member of IEEE. My research interests include:



News
  • [2022.08] I host a special issue regarding "Security and Privacy Issues in Multi-Source Information Fusion" on International Journal of Computational Science and Engineering (EI/ESCI Journal). Welcome to submit via link
  • [2022.07] One paper is accepted by IEEE TETCI (IF 4.851).
  • [2022.07] One paper is accepted by Information Sciences (IF 8.233).
  • [2022.06] I host a special issue regarding "Human-Centric Computing and Equitable Artificial Intelligence" on Frontiers in Neurorobotics (SCI, IF 2.65). Welcome to submit via link
  • [2022.05] One paper is accepted by IEEE TSC (IF 8.216).
  • [2022.05] One paper is accepted by ESWA (CCF-C rank, IF 6.954).
  • [2022.05] One paper is accepted by CAEE (IF 3.818).
  • [2022.04] One paper is accepted by IEEE TII (IF 10.215).
  • [2022.01] One paper is accepted by DASFAA 2022 (CCF-B rank Conference)。
  • [2021.12] I get a "Nomination Award for Excellent Doctoral Dissertation of Wu Wenjun Artificial Intelligence" from "Chinese Association for Artificial Intelligence，CAAI" link
  • [2021.11] I host a special issue regarding "Neurorobotics and Neurological Diseases" on Frontiers in Neurorobotics (SCI, IF 2.65). Welcome to submit via link
  • [2021.08] I host a special issue regarding "Neuroscience-Inspired Intelligent Computingon" on Frontiers in Neurorobotics (SCI, IF 2.65). Welcome to submit via link
  • [2021.07] I host a special issue regarding "Symmetry and Asymmetry Phenomena in Incomplete Big Data Analysis" on Symmetry-Basel (SCI, IF 2.713). Welcome to submit via link

Selected Publications

 (Full list see my [Google Scholar])

2022:

  • Di Wu, Xin Luo, Yi He, and MengChu Zhou, A Prediction-sampling-based Multilayer-structured Latent Factor Model for Accurate Representation of High-dimensional and Sparse Data, IEEE Transactions on Neural Networks and Learning Systems, 2022, 10.1109/TNNLS.2022.3200009. (中科院一区，IF 14.255)
  • Di Wu, Peng Zhang, Yi He, and Xin Luo, A Double-Space and Double-Norm Ensembled Latent Factor Model for Highly Accurate Web Service QoS Prediction, IEEE Transactions on Services Computing, 2022, doi: 10.1109/TSC.2022.3178543 (中科院一区，IF 8.216) [PDF]
  • Song Deng, Jiantang Zhang, Di Wu*, Yi He, Xiangpeng Xie, and Xindong Wu, A Quantitative Risk Assessment Model for Distribution Cyber Physical System under Cyber Attack, IEEE Transactions on Industrial Informatics, 2022, DOI: 10.1109/TII.2022.3169456 (*Corresponding author, 中科院一区, IF 10.215) [PDF]
  • Bo Sun, Di Wu*, Mingsheng Shang, and Yi He, Toward Auto-Learning Hyperparameters for Deep Learning-Based Recommender Systems. DASFAA 2022, 323-331, 2022. (*Corresponding author, CCF-B) [PDF]
  • Song Deng, Fulin Chen, Di Wu*, Yi He, Hui Ge, Yuan Ge, Quantitative combination load forecasting model based on forecasting error optimization, Computers and Electrical Engineering, vol 101, pp.108125, 2022. (*Corresponding author, IF 3.818) [PDF]

2021:

  • Di Wu, Yi He, Xin Luo, and MengChu Zhou, A Latent Factor Analysis-based Approach to Online Sparse Streaming Feature Selection, IEEE Transactions on Systems Man and Cybernetics-Systems, 2021, DOI: 10.1109/TSMC.2021.3096065 (中科院一区, IF 13.451) [PDF]
  • Di Wu, Mingsheng Shang, Xin Luo, and Zidong. Wang, An L₁-and-L₂-Norm-Oriented Latent Factor Model for Recommender Systems, IEEE Transactions on Neural Networks and Learning Systems, 2021, doi: 10.1109/TNNLS.2021.3071392. (中科院一区，IF 10.451) [PDF]
  • Di Wu and Xin Luo, Robust Latent Factor Analysis for Precise Representation of High-dimensional and Sparse Data, IEEE/CAA Journal of Automatica Sinica, vol. 8, no. 4, 2021. DOI: 10.1109/JAS.2020.1003533. (中国科技期刊卓越行动计划世界一流重点建设期刊, IF=6.171，中科院一区) [PDF]

2020:

  • Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin. Wang, and Xindong Wu, A Data-Characteristic-Aware Latent Factor Model for Web Service QoS Prediction, IEEE Transactions on Knowledge and Data Engineering, vol. 34, no. 6, pp. 2525-2538, 2022. (CCF推荐A类期刊，IF 6.977) [PDF]
  • Di Wu, Long Jin, and Xin Luo, PMLF: Prediction-Sampling-based Multilayer-Structured Latent Factor Analysis, In proceeding of the 2020 IEEE International Conference on Data Mining, ICDM, 2020. (Regular paper, Accept rate 9.8%, CCF推荐B类会议) [PDF]
  • Ye Yuan, Xin Luo, Mingsheng Shang, and Di Wu. A generalized and fast-converging nonnegative latent factor model for predicting user preferences in recommender systems. Proceedings of the International World Wide Web Conference (WWW), 498-507, 2020. (CCF 推荐 A 类会议) [PDF]
  • Yi He, Baijun Wu, Di Wu, Ege Beyazit, Sheng Chen, Xindong Wu, Toward Mining Capricious Data Streams: A Generative Approach, IEEE Transactions on Neural Networks and Learning Systems, 2020. DOI: 10.1109/TNNLS.2020.2981386. (中科院一区, IF 8.793)
  • Yi He, Baijun Wu, Di Wu, and Xindong Wu. On partial multi-task learning. Proceedings of the European Conference on Artificial Intelligence (ECAI), 1174-1181, 2020. (CCF推荐B类会议)

2019:

  • Di Wu, Qiang He, Xin Luo, Mingsheng Shang, Yi He, and Guoyin Wang, A posterior-neighborhood-regularized latent factor model for highly accurate web service QoS prediction, IEEE Transactions on Services Computing, vol. 15, no. 2, pp. 793-805, 1 March-April 2022. (中科院一区，IF 8.216, Highly cited papers) [PDF]
  • Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, and MengChu Zhou, A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems, IEEE Transactions on Systems Man and Cybernetics: Systems, vol. 51, no. 7, pp. 4285-4296, 2021, DOI:10.1109/TSMC.2019.2931393. (中科院一区, IF 9.309, Highly cited papers) [PDF]
  • Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, and Xindong Wu, A Data-Aware Latent Factor Model for Web Service QoS Prediction, In proceeding of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD, 2019. (CCF推荐C类会议, Accept rate 24.1%) [PDF]
  • Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, and Xindong Wu, Online Feature Selection with Capricious Streaming Features: A General Framework, In proceeding of the 2019 IEEE international conference on big data, Bigdata, 2019. (CCF推荐C类会议, Accept rate 38.3%) [PDF]
  • Yi He, Baijun Wu, Di Wu, Ege Beyazit, Sheng Chen, and Xindong Wu, Online Learning from Capricious Data Streams: A Generative Approach, In proceeding of the 28th International Joint Conference on Artificial Intelligence, IJCAI, 2019. (CCF推荐A类会议)
  • Xin Luo, Mengchu Zhou, Shuai Li, Di Wu, Zhigang Liu, and Mingsheng Shang, Algorithms of Unconstrained Non-negative Latent Factor Analysis for Recommender Systems, IEEE Transactions on Big Data, 2019, doi: 10.1109/TBDATA.2019.2916868.

2018:

  • Di Wu, Xin Luo, Guoyin Wang, Mingsheng Shang, Ye Yuan, and Huyong Yan, A Highly-Accurate Framework for Self-Labeled Semi-Supervised Classification in Industrial Applications, IEEE Transactions on Industrial Informatics, 2018, 14 (3): 909-920. (中科院一区, IF 9.112) [PDF]
  • Di Wu, aMinsheng Shang, Xin Luo, Ji Xu, Huyong Yan, Weihui Deng, and Guoyin Wang, Self-training semi-supervised classification based on density peaks of data, Neurocomputing, 2018, 275:180-191. (中科院二区, IF 4.438) [PDF]
  • Yi He, Di Wu, Ege Beyazit, Xiaoduan Sun, and Xindong Wu. Supervised Data Synthesizing and Evolving–A Framework for Real-World Traffic Crash Severity Classification. In 2018 IEEE 30th International Conference on Tools with Artificial Intelligence, ICTAI, 2018. (CCF推荐C类会议)

2017 and before:

  • Di Wu, Huyong Yan, Mingsheng Shang, Kun Shan, and Guoyin Wang, Water eutrophication evaluation based on semi-supervised classification: A case study in Three Gorges Reservoir, Ecological Indicators, 2017, 81: 362-372. (中科院二区, IF 4.229) [PDF]



Education and Career
  • 2012/07-Present        Chongqing Institute of Green and Intelligent Technology, CAS.            Associate Professor/Assistant Professor
  • 2018/04-2019/04        University of Louisiana at Lafayette, USA         Visiting Scholar (Supervisor:Prof.Xindong Wu)
  • 2015/09-2019/06        Chongqing Institute of Green and Intelligent Technology, CAS.          Ph.D (Supervisor:Prof.Guoyin Wang)
  • 2009/09-2012/06        Chongqing University.          M.E. (Supervisor:Prof. Tao Zhu)
  • 2005/09-2009/06        Nanjing University of Science and Technology.          B.S.

Projects
  • 2022 National Natural Science Foundation of China, ¥580,000, PI| 国家自然科学基金面上项目, 国家自然科学基金委员会, 58万元, 主持.
  • 2018 National Natural Science Foundation of China, ¥240,000, PI| 国家自然科学青年基金, 国家自然科学基金委员会, 24万元, 主持.
  • 2020 Chinese Academy of Sciences (CAS) “Light of West China” Program, ¥150,000,PI| 西部青年学者, 中国科学院, 15万元, 主持.
  • 2019 Natural Science Foundation of Chongqing (China), ¥100,000, PI| 重庆市科技局, 10万元, 主持.
  • 2016 Application development project of Chongqing (China), ¥750,000, PI|重庆市应用开发计划项目课题, 重庆市科技局, 75.5万元, 主持.
  • 2020 Enterprise Research Project regarding Evolution Model of Energy Strategy, ¥590,000, PI| 能源战略演变模型开发研究, 国网能源研究院有限公司, 59万元, 主持.

Services

Editor:


Membership:

  • Program Committee Member for AAAI 2023
  • Program Committee Member for ECML-PKDD 2021, 2022

Journal Reviewer:

  • IEEE Transactions on Neural Networks and Learning Systems(TNNLS)
  • IEEE Transactions on Human-Machine Systems(THMS)
  • IEEE Transactions on Intelligent Transportation Systems(TITS)
  • IEEE Transactions on Services Computing(TSC)
  • IEEE Transactions on Industrial Informatics(TII)
  • IEEE Transactions on Computational Social Systems(TCSS)
  • IEEE/CAA Journal of Automatica Sinica (JAS)
  • Neurocomputing
  • Advanced Engineering Informatics
  • Swarm and Evolutionary Computation
  • European Journal of Operational Research
  • International Journal of Intelligent Systems
  • Journal of Ambient Intelligence and Humanized Computing
  • ......

Awards
  • 2021, "Nomination Award for Excellent Doctoral Dissertation of Chinese Association for Artificial Intelligence (CAAI)| 中国人工智能学会优秀博士学位论文提名奖
  • 2020, Excellent Doctoral Dissertation of Chongqing, China| 重庆市优秀博士论文
  • 2020, Excellent Papers of the First Academical Conference of Science and Technology in Sichuan and Chongqing (Third Prize), China | 首届川渝科技学术大会优秀论文(三等奖)
  • 2018, President Award for Excellent Student of Chinese Academy of Sciences, China | 中国科学院院长优秀奖

Webpage template borrows from Qiang Zhang.