About Me

I am a Ph.D. student at the Institute of Computing Technology, Chinese Academy of Sciences. I belong to the Multimedia Advanced Computing Group, advised by Wen Ji. The group focuses on multimedia systems, novel end-edge-cloud architectures, video transmission optimization, and machine-intelligent coding. I have an exchange visit to the High Performance Computing for Artificial Intelligence (HPC-AI) Lab at the National University of Singapore, advised by Yang You. I am also actively involved in the standardization of the End-Edge-Cloud system. I am a member of the IEEE Digital Retina Systems (3161 WG) Standards Working Group, which is the world’s first international standards organization focused on end-edge-cloud systems. I am now working on multimedia system optimization, edge intelligence, and machine learning. If you are seeking any form of academic cooperation, please feel free to email me at yangzheming19b@ict.ac.cn.

Research Interests

  • Multimedia System and Distributed Inference
  • End-Edge-Cloud Collaborative Optimization
  • Design of Efficient Machine Learning System
  • Visual Internet of Things (V-IoT)

Education

  • 2019.08 – Now, Institute of Computing Technology, Chinese Academy of Sciences, PhD in Computer Science.
  • 2023.10 – Now, National University of Singapore (NUS), Visiting Scholar.
  • 2021.02 – 2022.08, Peng Cheng National Laboratory, Visiting PhD Student.
  • 2018.01 – 2018.02, Peking University, Research Intern.

News

  • [2024.02]: 🎉🎉 Our paper “Adaptive Joint Configuration Optimization for Collaborative Inference in Edge-Cloud Systems” has been accepted by Science China-Information Sciences!
  • [2023.07]: 🎉🎉 Our paper “JAVP: Joint-Aware Video Processing with Edge-Cloud Collaboration for DNN Inference” has been accepted by ACM MM 2023!
  • [2023.03]: 🎉🎉 Our paper “Visual E2C: AI-Driven Visual End-Edge-Cloud Architecture for 6G in Low-Carbon Smart Cities” has been accepted by IEEE Wireless Communications!
  • [2021.01]: 🎉🎉 Our paper “An Intelligent End–Edge–Cloud Architecture for Visual IoT-Assisted Healthcare Systems” has been accepted by IEEE Internet of Things Journal!
  • [2020.12]: 🎉🎉 Our paper won the IEEE ISPA Outstanding Paper Award!

Publications

  • Under Review
    1. Zheming Yang, Wen Ji, Qi Guo, Zhi Wang, and Yang You. “Collaborative Inference Scheduling Framework with Multiscale Complexity-Aware for Edge-Cloud Systems”. IEEE Transactions on Mobile Computing (TMC).
    2. Zheming Yang, Wen Ji, Lulu Zuo, Chang Zhao, Zhi Wang, Shenggan Cheng, Ziming Liu, and Yang You. “AMMInfer: Adaptive Multi-Model Inference with Robust Optimization in Edge-Cloud Systems”. ACM International Conference on Multimedia (MM).
    3. Zheming Yang, Wen Ji, Wen Ji, Qi Guo, Dieli Hu, Chang Zhao, Xiaowei Li, Xuanlei Zhao, Yi Zhao, Chaoyu Gong, and Yang You. “CDIO: Cross-Domain Inference Optimization with Resource Preference Prediction for Edge-Cloud Collaboration”. ACM International Conference on Multimedia (MM).
    4. Xuanlei Zhao, Shenggan Cheng, Zangwei Zheng, Zheming Yang, Ziming Liu, and Yang You. “DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers”. arXiv preprint arXiv:2403.10266.
    5. Yi Zhao, Juepeng Zheng, Guowen Li, Yushan Lai, Kangrui Du, Lixian Zhang, Runmin Dong, Jinxiao Zhang, Mengxuan Chen, Wayne Zhang, Litong Feng, Zheming Yang, Chaoyu Gong, Yang You and Haohuan Fu. “Learning Global Land Cover Mapping Through a Highly-Scalable Weakly-Supervised Method”. International Conference for High Performance Computing, Networking, Storage, and Analysis (SC).
  • Selected Published
    1. Zheming Yang, Wen Ji, and Zhi Wang. “Adaptive Joint Configuration Optimization for Collaborative Inference in Edge-Cloud Systems”. Science China-Information Sciences, 2024. (CCF-A)
    2. Zheming Yang, Lulu Zuo, and Wen Ji. “Joint Optimization Method for Node Deployment and Resource Allocation Based on End-Edge Collaboration”. Computer Science, 2024. (CCF-B)
    3. Zheming Yang, Wen Ji, Qi Guo, and Zhi Wang. “JAVP: Joint-Aware Video Processing with Edge-Cloud Collaboration for DNN Inference”. ACM International Conference on Multimedia (MM). 2023: 9152-9160. (CCF-A) [PDF]
    4. Zheming Yang, Dieli Hu, Qi Guo, Lulu Zuo, and Wen Ji. “Visual E2C: AI-driven Visual End-Edge-Cloud Architecture for 6G in Low-carbon Smart Cities”. IEEE Wireless Communications, 2023, 30 (3), 204-210. (JCR-Q1 IF=12.9) [PDF]
    5. Zheming Yang, Bing Liang, and Wen Ji. “An Intelligent End–Edge–Cloud Architecture for Visual IoT-Assisted Healthcare Systems”. IEEE Internet of Things Journal, 2021, 8(23): 16779-16786. (JCR-Q1 IF=10.6) [PDF]
    6. Zheming Yang, and Wen Ji. “A Quality-Time Model of Heterogeneous Agents Measure for Crowd Intelligence”. IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), 2020, pp. 1264-1270. [PDF]
    7. Zheming Yang, and Wen Ji. “Meta measurement of intelligence with crowd network”. International Journal of Crowd Science, 2020, 4(3): 295-307. [PDF]
    8. Zheming Yang, and Wen Ji. “A Universal Intelligence Measurement Method Based on Meta-analysis”. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2019: 493-498. [PDF]
    9. Wen Ji, Bing Liang, Yuqin Wang, Rui Qiu and Zheming Yang. “Crowd V-IoE: Visual Internet of Everything Architecture in AI-Driven Fog Computing”. IEEE Wireless Communications, 2020, 27(2): 51-57. (JCR-Q1 IF=12.9) [PDF]
    10. Ningzhou Li, Zheming Yang, Mingxuan Li, and Wen Ji. “JVAP: A Joint Video Acceleration Processing Architecture for Online Edge Systems”. IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023, pp. 1-6. [PDF]
    11. Linqing Zhai, Zheming Yang, and Wen Ji. “Understanding Crowd Intelligence in Large-scale Systems: A Hierarchical Binary Particle Swarm Optimization Approach”.  IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), 2020,  pp. 728-735. [PDF]
    12. Hexiang Qiao, Zheming Yang, Bing Liang, and Wen Ji. “Crowd Intelligence Empowered Video Transmission in Ultra-Low-Bandwidth Constrained Circumstances”. IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), 2020, pp. 721-727. [PDF]

Standard Contributions

  1. Zheming Yang, Wen Ji, Yaowei Wang, Xinbei Bai, Yan Lan, Jinyu Yuan, Zhi Wang, Bo Shen, Bin Guo, Peng Yang, Chunhao Zhao, and Haojie Zhao, “Digital Retina System Evaluation Index System”. Artificial Intelligence Technology Industry Strategic Alliance (AITISA) document, AI M1686, 2023.03.
  2. Zheming Yang, Bing Liang, Wen Ji, Xinbei Bai, Yaowei Wang, Jinyu Yuan, and Zhi Wang, “Edge-Cloud Collaborative Processing and Task Migration for Digital Retina System”. Artificial Intelligence Technology Industry Strategic Alliance (AITISA) document, AI M1630, 2022.06.
  3. Bo Shen, Bin Guo, Wen Ji, Zheming Yang, Yinglai Xi, Yaowei Wang, Xinbei Bai, and Jinyu Yuan, “Cloud Subsystem Functional Architecture and Functional Requirements”. Artificial Intelligence Technology Industry Strategic Alliance (AITISA) document, AI M1910, 2023.12.
  4. Lulu Zuo, Wen Ji, Yaowei Wang, Dieli Hu, Zheming Yang, Haijun Liu, Xinbei Bai, Yan Lan, and Ying Wang, “End-Edge System Metrics and Evaluation Architecture”. Artificial Intelligence Technology Industry Strategic Alliance (AITISA) document, AI M1869, 2023.12.
  5. Xinbei Bai, Chunhao Zhao, Zheming Yang, Yunhong Zhou, and Peng Chen, “Overall Collaborative Architecture and Capability Requirements for Digital Retina Systems”. Artificial Intelligence Technology Industry Strategic Alliance (AITISA) document, AI M1680, 2022.12.