Jingyu Wang

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wangjingyu@bupt.edu.cn

Office: Room 511 Research Building

XiTuCheng Rd. #10

Beijing, China, 100876

Jingyu (Jeric) Wang is a Professor of Beijing University of Posts and Telecommunications (BUPT), Network Intelligence Research Center (NIRC) in the State Key Laboratory of Networking and Switching Technology. He lead the Intelligence of Everthing (IE Corps, 万物有灵战队). He has been selected for the “Beijing Young Talents Plan”, “Nanjing Zijin Mountain Talent Plan”, is an IEEE Senior Member, a senior member of the China Institute of Communications, the leader of 6GANA TG5 (Intelligent Control).

He received his PhD degree from Beijing University of Posts and Telecommunications in 2008. He has long been engaged in scientific research in intelligent networks, machine learning, and edge computing, and has established the basic theory and implementation framework of autonomous networks, achieving a series of representative achievements including knowledge-defined networks, AIOps, intent translation, Gesture interaction, intelligent vehicle networking, and multi-path transmission.

As project leader, he has presided over four National Natural Science Foundation projects and one National 973 Program project (Smart Service Mechanisms and Theory), and led more than ten industrial projects with the Beijing Natural Science Foundation, Huawei, National Computer Network Emergency Response Technical (CNCERT), State Grid, China Mobile, Meituan, etc.

research

He has published more than 200 academic papers, including IEEE ToN, JSAC, TMC, TDSC, TKDE, TIP, CVPR, ACL, ICDE, WWW, and SIGIR. He won the Distinguished Papers Award at the AAAI 2023, and holds more than 30 national invention patents. He has served as a TPC member for INFOCOM、IJCAI、SIGIR conferences and as a Session Chair for IEEE GIIS and IEEE VTC conferences.

He has submitted more than ten standardization documents to 3GPP, IETF, ETSI, CCSA, and other organizations, published the monograph “Smart Service Cloud Network”, contributed OPNFV Compass open-source code to the OpenStack community, and led the release of whitepapers on “Knowledge-Defined Orchestration and Control” and “Knowledge-Defined Intent Networks”.

He enjoy solving practical and challenging problems in engineering, had implemented the large-scale application of several new theoretical results. He had been honored with two prizes for Scientific and Technological Progress from the China Institute of Communications, and two prizes for Scientific and Technological Progress from the Ministry of Education.

teaching

He is teaching cutting-edge interdisciplinary courses such as “Intelligent Transportation and Autonomous Driving” as well as computer science courses like Software-Defined Network Technology and Next-Generation Internet Technology and Protocols.

Under his leadership, his team has won numerous championships in renowned competitions such as AITrans, AIOps, ACM MM, SemEval, FGVC, and ICCV Hands. He was honored with the title of “Outstanding Master’s Thesis Guidance Teacher” by BUPT in 2020, “Outstanding Undergraduate Thesis Guidance Teacher” by both Beijing and BUPT in 2022.

news

Apr 28, 2023 One of our paper has been accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE).
Apr 20, 2023 One of our paper has been accepted by 2023 The 32nd International Joint Conference on Artificial Intelligence (IJCAI’23).
Apr 17, 2023 One of our paper has been accepted by IEEE Transactions on Mobile Computing (TMC).
Apr 11, 2023 One of our paper has been accepted by 2023 43rd IEEE International Conference on Distributed Computing Systems (ICDCS’23).
Apr 9, 2023 One of our paper has been accepted by 2023 ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’23).
Apr 1, 2023 Call for Papers: Electronics Special Issue on “Advances in Information Retrieval and Natural Language Processing”. [Download Flyer]
Mar 24, 2023 Call for Symposium Papers: IEEE Global Communications Conference 2023 “COGNITIVE RADIO AND AI-ENABLED NETWORKS”. [Download Flyer]
Feb 9, 2023 One paper from our student Pengfei Ren has been awarded the Distinguished Paper Award at AAAI’23. Congratulations!
Aug 26, 2022 One paper from our colleague Haifeng Sun has been awarded the Best Paper Award at SIGCOMM’22. Congratulations again!
Aug 17, 2022 One of our paper has been accepted by IEEE/ACM Transactions on Networking (ToN).

selected publications

Journal Articles

  1. RTHop: Real-Time Hop-by-Hop Mobile Network Routing by Decentralized Learning With Semantic Attention
    Bo He, Jingyu Wang, Qi Qi, Haifeng Sun, and Jianxin Liao
    IEEE Trans. Mob. Comput., vol. 22, (3), pp. 1731–1747, 2023
  2. Standing on the Shoulders of Giants: Cross-Slice Federated Meta Learning for Resource Orchestration to Cold-Start Slice
    Tianjian Dong, Qi Qi, Jingyu Wang, Zirui Zhuang, Haifeng Sun, Jianxin Liao, and Zhu Han
    IEEE/ACM Trans. Netw., vol. 31, (2), pp. 828–845, 2023
  3. Following the Correct Direction: Renovating Sparsified SGD Towards Global Optimization in Distributed Edge Learning
    Wanyi Ning, Haifeng Sun, Xiaoyuan Fu, Xiang Yang, Qi Qi, Jingyu Wang, Jianxin Liao, and Zhu Han
    IEEE J. Sel. Areas Commun., vol. 40, (2), pp. 499–514, 2022
  4. A Dual-Branch Self-Boosting Framework for Self-Supervised 3D Hand Pose Estimation
    Pengfei Ren, Haifeng Sun, Jiachang Hao, Qi Qi, Jingyu Wang, and Jianxin Liao
    IEEE Trans. Image Process., vol. 31, pp. 5052–5066, 2022
  5. Robust Unsupervised Video Anomaly Detection by Multipath Frame Prediction
    Xuanzhao Wang, Zhengping Che, Bo Jiang, Ning Xiao, Ke Yang, Jian Tang, Jieping Ye, Jingyu Wang, and Qi Qi
    IEEE Trans. Neural Networks Learn. Syst., vol. 33, (6), pp. 2301–2312, 2022
  6. Dynamic Service Function Chain Embedding for NFV-Enabled IoT: A Deep Reinforcement Learning Approach
    Xiaoyuan Fu, F. Richard Yu, Jingyu Wang, Qi Qi, and Jianxin Liao
    IEEE Trans. Wirel. Commun., vol. 19, (1), pp. 507–519, 2020
  7. Intelligent VNFs Selection Based on Traffic Identification in Vehicular Cloud Networks
    Jingyu Wang, Bo He, Jing Wang, and Tonghong Li
    IEEE Trans. Veh. Technol., vol. 68, (5), pp. 4140–4147, 2019
  8. Knowledge-Driven Service Offloading Decision for Vehicular Edge Computing: A Deep Reinforcement Learning Approach
    Qi Qi, Jingyu Wang, Zhanyu Ma, Haifeng Sun, Yufei Cao, Lingxin Zhang, and Jianxin Liao
    IEEE Trans. Veh. Technol., vol. 68, (5), pp. 4192–4203, 2019
  9. Density cluster based approach for controller placement problem in large-scale software defined networkings
    Jianxin Liao, Haifeng Sun, Jingyu Wang, Qi Qi, Kai Li, and Tonghong Li
    Comput. Networks, vol. 112, pp. 24–35, 2017

Conference Articles

  1. SA-Fusion: Multimodal Fusion Approach for Web-based Human-Computer Interaction in the Wild
    Xingyu Liu, Pengfei Ren, Yuchen Chen, Cong Liu, Jing Wang, Haifeng Sun, Qi Qi, and Jingyu Wang
    In Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023, 2023
  2. Mining Multi-View Information: A Strong Self-Supervised Framework for Depth-based 3D Hand Pose and Mesh Estimation
    Pengfei Ren, Haifeng Sun, Jiachang Hao, Jingyu Wang, Qi Qi, and Jianxin Liao
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022
  3. Can Shuffling Video Benefit Temporal Bias Problem: A Novel Training Framework for Temporal Grounding
    Jiachang Hao, Haifeng Sun, Pengfei Ren, Jingyu Wang, Qi Qi, and Jianxin Liao
    In Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXXVI, vol. 13696, 2022
  4. Question-Driven Span Labeling Model for Aspect-Opinion Pair Extraction
    Lei Gao, Yulong Wang, Tongcun Liu, Jingyu Wang, Lei Zhang, and Jianxin Liao
    In Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, 2021
  5. Towards Efficient Inference: Adaptively Cooperate in Heterogeneous IoT Edge Cluster
    Xiang Yang, Qi Qi, Jingyu Wang, Song Guo, and Jianxin Liao
    In 41st IEEE International Conference on Distributed Computing Systems, ICDCS 2021, Washington DC, USA, July 7-10, 2021, 2021
  6. Prefix-Graph: A Versatile Log Parsing Approach Merging Prefix Tree with Probabilistic Graph
    Guojun Chu, Jingyu Wang, Qi Qi, Haifeng Sun, Shimin Tao, and Jianxin Liao
    In 37th IEEE International Conference on Data Engineering, ICDE 2021, Chania, Greece, April 19-22, 2021, 2021
  7. DLA-Net for FG-SBIR: Dynamic Local Aligned Network for Fine-Grained Sketch-Based Image Retrieval
    Jiaqing Xu, Haifeng Sun, Qi Qi, Jingyu Wang, Ce Ge, Lejian Zhang, and Jianxin Liao
    In MM ’21: ACM Multimedia Conference, Virtual Event, China, October 20 - 24, 2021, 2021
  8. Distant Supervision based Machine Reading Comprehension for Extractive Summarization in Customer Service
    Bing Ma, Cao Liu, Jingyu Wang, Shujie Hu, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen, and Jianxin Liao
    In SIGIR ’21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021, 2021
  9. AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation
    Weiting Huang, Pengfei Ren, Jingyu Wang, Qi Qi, and Haifeng Sun
    In The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, 2020
  10. Adversarial and Domain-Aware BERT for Cross-Domain Sentiment Analysis
    Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, and Jianxin Liao
    In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020, 2020
  11. OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks
    Jiashi Li, Qi Qi, Jingyu Wang, Ce Ge, Yujian Li, Zhangzhang Yue, and Haifeng Sun
    In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019, 2019