Jiqing Gu
Faculty Member
Received Ph.D. in Computer Science and Technology from UESTC in December 2022. Research interests include distributed computing, parallel computing optimization, and data mining. Published 18 papers in international conferences and journals. Participated in multiple national and provincial projects including the National Key R&D Program of China.
Education
B.E. in Computer Science and Technology
2010.9 - 2014.6Henan University of Science and Technology
Studied at the School of Information Engineering. Awarded Bachelor’s degree in Computer Science and Technology.
M.E. in Computer Science and Technology
2015.9 - 2017.6University of Electronic Science and Technology of China (UESTC)
Master’s student.
Joint Ph.D. (Visiting)
2021.3 - 2022.4University of Toronto
Ph.D. in Computer Science and Technology
2017.9 - 2022.12University of Electronic Science and Technology of China (UESTC)
Studied at the School of Computer Science. Awarded Ph.D. in Computer Science and Technology.
Work Experience
Lecturer
2023.5 - PresentSchool of Computer Science, CUIT
Teaching and research position.
Publications
When Reinforcement Learning Meets Zero-Determinant: Social Welfare Control in Iterated Game Under Spatial Crowdsourcing.
IEEE Trans. Parallel Distrib. Syst.,
2026.
Social Welfare Control and Incentive for Free-Riding in Cross-Silo FL-based Caching.
ICASSP 2026,
2026.
SelCo: Efficient Distributed Multimodal LLM Training with Selective Co-location.
Proceedings of the 22nd International Conference on Intelligent Computing (ICIC 2026), Toronto, Canada,
2026.
Low-bit and Sparsified Gradient Communication for Accelerating Distributed Deep Learning with Convergence Guarantees.
Proceedings of the 55th International Conference on Parallel Processing (ICPP 2026), Singapore,
2026.
Knowledge Representation-Enhanced Multimodal Knowledge Graph Completion.
Computer Engineering and Applications,
2025.
An Online Heterogeneous GPU Cluster Scheduler for Multi-Objective Optimization.
2025 International Conference on Information Management and Computing Technology (ICIMCT),
2025.
Heterogeneous GPU Cluster Scheduler for Multi-Objective Optimization.
ICIMCT 2025,
2025.
Automated Chain-of-Thought Data Generation for Meteorological Reasoning: A Study Based on WeatherQA.
ICIMCT 2025,
2025.
Enhancing Personalized Trip Recommendations with Attractive Route Analysis and Graph Attention Auto-Encoder.
KBS 2025,
2025.
Compact Estimator for Streaming Triangle Counting.
IEEE TKDE,
2024.
A Distributed Streaming Framework for Edge-Cloud Triangle Counting.
KBS 2023,
2023.
ACM: Accuracy-aware Collaborative Monitoring for Software-Defined Network-wide Measurement.
Sensors,
2022.
Pedestrian Flow Prediction and Route Recommendation with Business Events.
Sensors 2022 (CAS Zone 2),
2022.
Generation Rate Control with AoI under Traffic Hole Problem in Vehicular Networks.
ITU Journal on Future and Evolving Technologies,
2022.
Enhancing Personalized Trip Recommendation with Attractive Routes.
Proc. of Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020, CCF A-Ranked Conference),
2020.
Distributed Triangle Counting Algorithms in Simple Graph Stream.
ICPADS 2019,
2019.
Towards Cascading Problem for Dynamic Rate Allocations in ISP Networks with SDN.
Proc. of International Conference on Mobile Ad-hoc and Sensor Networks (IEEE MSN 2019, CCF C-Ranked Conference),
2019.
Pedestrian Flow Prediction with Business Events.
Proc. of International Conference on Mobile Ad-hoc and Sensor Networks (IEEE MSN 2019, CCF C-Ranked Conference). Best Paper Candidate,
2019.
Deployment Mechanism Design for Cost-Effective Data Uploading in Delay-Tolerant Crowdsensing.
Proc. of the 15th IEEE International Symposium on Parallel and Distributed Processing with Applications (IEEE ISPA 2017, CCF C-Ranked Conference),
2017.