English Version

BIOGRAPHY

Dr. Jiahui Jin is an associate professor in School of Computer Science and Engineering at Southeast University, China. He received the Ph.D. degree from Southeast University in 2015. During his Ph.D. study from Aug. 2012 to Aug. 2014, he had spent two years working in Multimedia Networking & Internet Lab (MNIL) at University of Massachusetts Amherst as a visiting Ph.D. student.

I am looking for highly motivated and self-driven master students, who are interested in developing distributed systems for query processing, data mining, and machine learning.

RESEARCH INTERESTS

• Big Data. Distributed Data Processing, Crowd Sourcing
• Cloud Computing. Virtual Machine, Data Center Networking
• Knowledge Graph. Querying, Subgraph Matching

PUBLICATION

Conference Paper

1. Jinghui Zhang, Zhengjia Xu, Dingyang Lv, Zhan Shi, Dian Shen, Jiahui Jin, Jiahui Jin, Fang Dong.
   DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph, in Proceedings of Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2024.

2. Jingyi Qiu, Aibo Song, Jiahui Jin, Tianbo Zhang, Jingyi Ding, Xiaolin Fang, Jianguo Qian.
   Dependency-Aware Core Column Discovery for Table Understanding, in Proceedings of 22nd International Semantic Web Conference (ISWC), 2023.
3. Yuchen Wang, Jinghui Zhang, Zhengjie Huang, Weibin Li, Shikun Feng, Ziheng Ma, Yu Sun, Dianhai Yu, Fang Dong, Jiahui Jin, Beilun Wang, Junzhou Luo.
   Label Information Enhanced Fraud Detection against Low Homophily in Graphs, in Proceedings of the ACM Web Conference (WWW), 2023.
4. Yuxiang Wang, Arijit Khan, Xiaoliang Xu, Jiahui Jin, Qifan Hong, Tao Fu.
   Aggregate Queries on Knowledge Graphs: Fast Approximation with Semantic-aware Sampling, in Proceedings of 38th IEEE International Conference on Data Engineering (ICDE), 2022.
5. Jun Tang, Haoxiang Zhang, Binjie Zhang, Jiahui Jin, Yan Lyu.
   SPEMI: normalizing spatial imbalance with spatial eminence transformer for citywide region embedding, in Proceedings of th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI@SIGSPATIAL), 2022.
6. Zhoujie Wang, Runqun Xiong, Jiahui Jin, Chuan Liang.
   AirBC: A Lightweight Reputation-based Blockchain Scheme for Resource-constrained UANET, in Proceedings of 25th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2022. (Best Paper)
7. Biwei Wu, Xiaoxuan Zhu, Xiang Liu, Jiahui Jin, Runqun Xiong, Weiwei Wu.
   Revenue Maximization of Electric Vehicle Charging Services with Hierarchical Game, in Proceedings of 16th International Conference on Wireless Algorithms, Systems, and Applications (WASA), 2021.
8. Yuxiang Wang, Arijit Khan, Tianxing Wu, Jiahui Jin, Haijiang Yan.
   Semantic Guided and Response Times Bounded Top-k Similarity Search over Knowledge Graphs, in Proceedings of 36th IEEE International Conference on Data Engineering (ICDE), 2020.
9. Kexi Kang, Jinghui Zhang, Jiahui Jin, Dian Shen, Junzhou Luo, Wenxin Li, Zhiang Wu.
   MBECN: Enabling ECN with Micro-burst Traffic in Multi-queue Data Center, in Proceedings of 2019 IEEE International Conference on Cluster Computing (CLUSTER), 2019.
10. Jiahui Jin, Samamon Khemmarat, Lixin Gao, Junzhou Luo.
    Querying Web-Scale Information Networks Through Bounding Matching Scores, in Proceedings of 24th International Conference on World Wide Web (WWW), 2015.
11. Jiahui Jin, Samamon Khemmarat, Lixin Gao, Junzhou Luo.
    A Distributed Approach for Top-k Star Queries on Massive Information Networks, in Proceedingss of 20th IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2014. (Best Paper Candidate 4 out of 322)
12. Jiahui Jin, Junzhou Luo, Aibo Song, Fang Dong, Runqun Xiong.
    An Efficient Data Locality Driven Task Scheduling Algorithm for Cloud Computing. in Proceedings of 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2011.

Journal Paper

1. Jiahui Jin, Zhendong Guo, Wenchao Bai, Biwei Wu, Xiang Liu, Weiwei Wu.
   Congestion-aware Stackelberg pricing game in urban Internet-of-Things networks: A case study . Computer Networks, 2024.

2. Jiahui Jin, Yifan Song, Dong Kan, Binjie Zhang, Yan Lyu, Jinghui Zhang, Hongru Lu.
   Learning context-aware region similarity with effective spatial normalization over Point-of-Interest data. Information Processing & Management, 2024.
3. Jiahui Jin, Junzhou Luo, Samamon Khemmarat, Fang Dong, Lixin Gao.
   GStar: an efficient framework for answering top-k star queries on billion-node knowledge graphs. World Wide Web (WWWJ), 2019.
4. Dian Shen, Luo Junzhou, Fang Dong, Jiahui Jin, Junxue Zhang, Jun Shen.
   Facilitating Application-aware Bandwidth Allocation in the Cloud with One-step-ahead Traffic Information. IEEE Transactions on Services Computing (TSC), 2019.
5. Feng Shan, Junzhou Luo, Jiahui Jin, Weiwei Wu.
   Offloading Delay Constrained Transparent Computing Tasks With Energy-Efficient Transmission Power Scheduling in Wireless IoT Environment. IEEE Internet of Things Journal, 2019.
6. Jiahui Jin, Junzhou Luo, Samamon Khemmarat, Lixin Gao.
   Querying Web-Scale Knowledge Graphs Through Effective Pruning of Search Space, IEEE Transactions on Parallel and Distributed Systems (TPDS), 2017.
7. Junzhou Luo, Jiahui Jin, Feng Shan.
   Standardization of Low-Latency TCP with Explicit Congestion Notification: A Survey. IEEE Internet Computing (IC), 2017.
8. Fang Dong, Junzhou Luo, Jiahui Jin, Jiyuan Shi, Ye Yang, Jun Shen.
   Accelerating skycube computation with partial and parallel processing for service selection. IEEE Transactions on Services Computing (TSC), 2017.

Update：24 Jun 2024