Dezhong YAO (姚德中)
Dezhong Yao, HUST, computer science, Associate Professor, Academic, 姚德中, 华中科技大学
School of Computer Science and Technology
Huazhong University of Science and Technology
East Fifth Building, Room 222,
1037 Luoyu Road, Wuhan, China 430074
Biography: Dezhong Yao is currently an associate professor at the School of Computer Science and Technology, Huazhong University of Science and Technology (HUST). He is a member of the National Engineering Research Center for Big Data Technology and System at HUST. He obtained his BS and Ph.D. in computer science from HUST in 2006 and 2016 respectively. Before joining HUST in 2019, He was a research fellow at Nanyang Technological University. From 2010 to 2012, He was a visiting student at Carnegie Mellon University.
My research interests include distributed machine learning, federated learning and distributed optimization systems in ubiquitous environment. Specific topics include:
- Edge Intelligence
- Edge Container & Edge Native
- Distributed Machine Learning and Systems
Open Positions: I have Research Position (including PhD student) on machine learning systems and optimization. If you are interested please drop me an email.
Recent Publications
-
Rethinking Personalized Federated Learning from Knowledge Perspective
Dezhong Yao; Ziquan Zhu; Tongtong Liu; Zhiqiang Xu; Hai Jin
ICPP'24: Proc. of the 53rd International Conference on Parallel Processing, 2024
DOI / Code -
FedGKD: Towards Heterogeneous Federated Learning via Global Knowledge Distillation
Dezhong Yao; Wanning Pan; Yutong Dai; Yao Wan; Xiaofeng Ding; Chen Yu; Hai Jin; Zheng Xu; Lichao Sun
TC'23: IEEE Transactions on Computers, 2023
DOI / Code -
Mining Geospatial Relationships from Text
Pasquale Balsebre; Dezhong Yao; Gao Cong; Weiming Huang; Zhen Hai
SIGMOD'23: Proc. of ACM International Conference on Management of Data, 2023
DOI / Code -
Personalized Edge Intelligence via Federated Self-Knowledge Distillation
Hai Jin, Dongshan Bai, Dezhong Yao, Yutong Dai, Lin Gu, Chen Yu, Lichao Sun
TPDS'22: IEEE Transactions on Parallel and Distributed Systems, 2022
DOI / Code -
You See What I Want You to See: Poisoning Vulnerabilities in Neural Code Search
Yao Wan, Shijie Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Dezhong Yao, Hai Jin, Lichao Sun
ESEC/FSE'22: Proc. of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022
DOI / Code -
Entity Resolution with Hierarchical Graph Attention Networks
Dezhong Yao, Yuhong Gu, Gao Cong, Hai Jin, Xinqiao Lv
SIGMOD'22: Proc. of ACM International Conference on Management of Data, 2022
DOI / Code -
Geospatial Entity Resolution
Pasquale Balsebre, Dezhong Yao, Gao Cong, Zhen Hai
WWW'22: Proc. of the ACM Web Conference, 2022
DOI / Code -
FedBERT: When Federated Learning Meets Pre-Training
Yuanyishu Tian, Yao Wan, Lingjuan Lyu, Dezhong Yao, Hai Jin, Lichao Sun
TIST'22: ACM Transactions on Intelligent Systems and Technology, 2022
DOI / Code -
Using Crowdsourcing to Provide QoS for Mobile Cloud Computing
Dezhong Yao, Chen Yu, Laurence T. Yang, Hai Jin
TCC'19: IEEE Transactions on Cloud Computing, 2019
DOI -
High-dimensional Similarity Learning via Dual-sparse Random Projection
Dezhong Yao, Peilin Zhao, Tuan-Anh Nguyen Pham, Gao Cong
IJCAI'18: Proc. of the 27th International Joint Conference on Artificial Intelligence, 2018
DOI
Research Grants
- National Key Research and Development（R&D） Program Project（国家重点研发计划课题）, 2022YFB4502001, Project leader (课题负责人), 2023/03 - 2026/02.
- National Key Research and Development（R&D） Program Project（国家重点研发计划）, 2021YFB1714600, Participant (参与人), 2021/11 - 2024/10.
- The National Natural Science Foundation of China (面上项目), “面向边缘环境的深度学习系统关键技术研究”, 62072204, Principal Investigator (负责人), 2021/01 - 2024/12.
- The National Natural Science Foundation of China (重点项目), “云计算环境下操作系统虚拟化内核技术”, 62032008, Participant (参与人), 2021/01 - 2025/12.
- The National Natural Science Foundation of China (地区项目), “基于车联网感知层的异构无线传感器网络可靠性评估的研究”, 61862024, Participant (参与人), 2019/01 - 2022/12.
- The National Natural Science Foundation of China (面上项目), “基于时空上下文数据的关联关系挖掘与推理技术研究”, 61472149, Participant (参与人), 2015/01 - 2018/12.
- Graduate Innovation Fund of Huazhong University of Science and Technology, “深度学习并行化技术研究”, Principal Investigator (负责人), 2013/11 - 2014/10.
- The National Natural Science Foundation of China (青年项目), “移动容迟网络的路由与拥塞控制方法研究”, 61003220, Participant (参与人), 2011/01 - 2013/12.
Research Students
I am delightful to work with some great students:
- Mr. Yuanyishu Tian, PhD., 2020/09
- Mr. Sifan Zhao, PhD., 2020/09
- Mr. Junhao Wu, PhD., 2023/09
- Mr. Ziqi Zhou, PhD., 2023/09 (co-supervise)
- Mr. Tongtong Liu, PhD., 2024/09
- Mr. Xingting Huang, PhD., 2024/09
- Mr. Yuexing Shi, Master, 2022/09
- Mr. Hao Feng, Master, 2022/09 (co-supervise)
- Miss Jing Dong, Master, 2023/09
- Mr. Wang Yang, Master, 2023/09 (co-supervise)
- Mr. Zunsen Li, Master, 2024/09
- Mr. Xiaoshuang Ma, Master, 2024/09
Alumni:
| Name | Degree | Enrolled | Research Topic | Highlights | Work |
|---|---|---|---|---|---|
| Mr. Yuhong Gu | Master | 2019/09 | Entity linking | SIGMOD 2022 | 志凌海纳 SmartX |
| Miss Yan Yu | Master | 2020/09 | Blockchain + Data fusion |
NPC 2022 | 联影武汉 United-Imaging |
| Mr. Ziyi Xia | Master | 2020/09 | Blockchain + Federated learning |
阿里杭州 Ali |
|
| Miss Wanning Pan | Master | 2020/09 | Heterogeneous Federated learning |
TC 2023 | 字节北京 ByteDance |
| Mr. Dongshan Bai | Master | 2020/09 | Personalized Federated learning |
TPDS 2023 | 阿里杭州 Ali |
| Mr. Yun Yang | Master | 2020/09 | Graph Computing Acceleration |
华为2012实验室 Huawei |
|
| Mr. Sanmu Li | Master | 2021/09 | Federated Continual Learning |
腾讯深圳 Tencent |
|
| Mr. Ziquan Zhu | Master | 2021/09 | Personalized Federated learning |
ICPP 2024 | 比亚迪深圳 BYD |
| Mr. Tongtong Liu | Master | 2021/09 | Federated Graph Learning |
GPC 2024 | 华科博士 |
Teaching
| h1 | h2 | h3 | for undergraduate students |
|---|---|---|
| CST0541 | Computer Network, | 2020 Fall, 2021 Fall, 2022 Fall, 2023 Fall |
| CST5551 | Natural Language Processing, | 2022 Spring, 2023 Spring, 2024 Spring | for graduate students |
| 210131028 | Pervasive Computing and Edge Computing, | 2022 Fall, 2024 Spring |
Professional Activities
- Program Committee:
- 2024: AAAI, IJCAI, ICML, ICLR, CIKM, ECAI
- 2023: ECAI, IJCAI, ICML, CIKM, NeurIPS
- 2022: AAAI, IJCAI, ICML, CIKM, NeurIPS
- 2021: AAAI, IJCAI(SPC)
- 2020: AAAI, IJCAI
- 2019: AAAI, AI
- 2017: ADMA
- Journal Review:
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- IEEE Transactions on Neural Networks and Learning Systems
- IEEE Journal on Selected Areas in Communications
- IEEE Communications Magazine
- IEEE Systems Journal
- Machine Learning
- Neural Networks
- Knowledge-Based Systems
- Neurocomputing
- Information Fusion
- Future Generation Computer Systems
- Decision Analytics Journal