1. 基本信息：
姓名：王志杰
性别：男
学历：博士
职称：副教授 （硕导/博导）
研究方向：大数据、人工智能、数据挖掘
联络方式：cszjwang@cqu.edu.cn
英文主页：[点击这里]
招生/招募：招收计算机相关专业本科实习生、硕士研究生、博士研究生。欢迎有志之士与我联络！
2. 个人简介：
王志杰于上海交通大学计算机科学与工程系获博士学位，现为亚盈体育电竞(中国)有限公司官网副教授、博士生导师。他曾在中山大学、香港理工大学等机构从事科学研究工作。近年来，他在IEEE TKDE、IEEE TPDS、IEEE TALSP、IEEE TMM、IEEE TCSS、IEEE TSUSC、IJCAI、AAAI、ICDM、ECAI等多个期刊和会议发表论文近40篇。他是多个国际期刊和会议特邀审稿人，包括IEEE TKDE, IEEE TMM, IEEE TBD, IEEE TVT, IEEE TGCN, ACM TODS, Geoinformatica, VLDB, ICDE, AAAI，IJCAI, MDM, SmartData, NDBC等。他曾/现担任中国计算机学会大数据专委会通讯委员、中国计算机学会数据库专委会通讯委员、中国计算机学会广东YOCSEF委员、中国计算机学会大数据专委会通讯委员、广东省大数据专委会委员、国家自然科学基金广东联合基金重点项目子课题负责人，国家自然科学基金面上项目负责人。他作为课题骨干参与了国家重点研发计划、国家自然科学基金青年科学基金项目等多个国家级和省部级科研项目，曾获IEEE ICPADS优秀学生论文奖，广东省计算机学会优秀论文奖。他近期的主要研究兴趣为大数据、人工智能、数据挖掘等。
3. 主要学术论著：
1. Y. Xu, B. Yao, Z. Wang, X. Gao, J. Xie, M. Guo.
Skia: Scalable and Efficient In-Memory Analytics for Big Spatial-Textual Data.
IEEE Transactions on Knowledge and Data engineering (TKDE), doi: 10.1109/TKDE.2019.2915828.
[CCF A] [IEEE/ACM Trans]
2. Y. Le, Z. Wang, Z. Quan, J. He, B. Yao.
ACV-tree: A New Method for Sentence Similarity Modeling.
The 27th International Joint Conference on Artificial Intelligence (IJCAI), 2018, Stockholm, Sweden.
[CCF A]
3. J. Yin, C. Gan, K. Zhao, X. Lin, Z. Quan, Z. Wang.
A Novel Model for Imbalanced Data Classification.
The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020, New York, USA.
[CCF A]
4. W. Liu, Z. Wang, B. Yao, J. Yin.
Geo-ALM: POI Recommendation by Fusing Geographical Information and Adversarial Learning Mechanism.
The 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019, Macao, China.
[CCF A]
5. Z. Quan, Z. Wang, T. Ye, S. Guo.
Task Scheduling for Energy Consumption Constrained Parallel Applications on Heterogeneous Computing Systems.
IEEE Transactions on Parrallel and Distributed Systems (TPDS), 2020, 31(5): 1165-1182.
[CCF A] [IEEE/ACM Trans]
6. Z. Chen, B. Yao, Z. Wang, X. Gao, S. Shang, S. Ma, M. Guo.
Flexible Aggregate Nearest Neighbor Queries and its Keyword-Aware Variant on Road Networks.
IEEE Transactions on Knowledge and Data engineering (TKDE), doi: 10.1109/TKDE.2020.2975998.
[CCF A] [IEEE/ACM Trans]
7. M. Nie, Z. Wang, C. Gan, Z, Quan, B. Yao, J. Yin.
An Improved Hierarchical Datastructure for Nearest Neighbor Search.
The 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019, poster, Honolulu, Hawaii, USA.
[CCF A]
8. Z. Wang, D. Wang, B. Yao, M. Guo.
Probabilistic Range Query over Uncertain Moving Objects in Constrained Two-dimensional Space.
IEEE Transactions on Knowledge and Data engineering (TKDE), 2015, 27(3), 866-879.
[CCF A] [IEEE/ACM Trans]
9. X. Lin, Z. Wang, Z. Quan, T. Jiang, X. Zeng.
KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction.
The 29th International Joint Conference on Artificial Intelligence (IJCAI), 2020.
[CCF A]
10. X. Lin, Z. Wang, L. Ma, X. Wu.
Saliency Detection via Multi-Scale Global Cues.
IEEE Transactions on Multimedia (TMM), 2019, 21(7): 1646-1659.
[CCF B] [IEEE/ACM Trans]
11. X. Lin, L. Ma, B. Sheng, Z. Wang, W. Chen.
Utilizing Two-phase Processing with FBLS for Single Image deraining.
IEEE Transactions on Multimedia (TMM), doi:10.1109/TMM.2020.2987703.
[CCF B] [IEEE/ACM Trans]
12. Z. Quan, Z. Wang, Y. Le, B. Yao, K. Li, J. Yin.
An Efficient Framework for Sentence Similarity Modeling.
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), 2019, 27(4):853-865.
[CCF B] [IEEE/ACM Trans] [NLP Top Journal]
13. Z. Chen, B. Yao, Z. Wang, W. Zhang, K. Zheng, P. Kalnis, F. Tang.
ITISS: An Efficient Framework for Querying Big Temporal Data.
Geoinformatica, 2020, 24(1): 27-59.
[CCF B] [GIS Top Journal]
14. Z. Wang, B. Yao, R. Cheng, X. Gao, L. Zou, H. Guan, M. Guo.
SMe: Explicit & Implicit Constrained-Space Probabilistic Threshold Range Queries for Moving Objects.
Geoinformatica, 2016, 20(1): 19-58.
[CCF B] [GIS Top Journal]
15. Z. Wang, X. Lin, M. Fang, B. Yao, Y. Peng, H. Guan, M. Guo.
RE2L: An Efficient Output-sensitive Algorithm for Computing Boolean Operations on Circular-arc Polygons and Its Applications.
Computer-Aided Design (CAD), 2017, 83(2):1-14.
[CCF B] [CAD Top Journal]
16. X. Lin, K. Zhao, T. Xiao, Z. Quan, Z. Wang, P. S. Yu.
DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Prediction.
The 24th European Conference on Artificial Intelligence (ECAI), 2020.
[CCF B]
17. T. Xiao, Z. Wang, Z. Quan, K. Zhao, X. Liao.
LPV: A Log Parser Based on Vectorization for Offline and Online Log Parsing.
The 20th IEEE International Conference on Data Mining (ICDM), 2020, Sorrento, Italy.
[CCF B]
18. X. Lin, Z. Quan, Z. Wang, H. Huang, X. Zeng.
A Novel Molecular Representation with BiGRU Neural Networks for Learning Atoms.
Breifings in Bioinformaitics (BIB), doi: 10.1093/bib/bbz125.
[CCF B]
19. D. Yang, J. Guo, Z. Wang, Y. Wang, J. Zhang, L. Hu, J. Yin, J. Cao.
FastPM: An Approach to Pattern Matching via Distributed Stream Processing.
Information Sciences (INS), 2018, 453: 263-280.
[CCF B]
20. X. Lin, Z. Wang, X. Tan, M. Fang, L. Ma, N. Xiong.
MCCH: A Novel Convex Hull-Based Prior Method for Saliency Detection.
Information Sciences (INS), 2019, 485: 521-539.
[CCF B]
21. M. Nie, Z. Wang, J. Yin, B. Yao.
Reachable Region Query and Its Applications.
Information Sciences (INS), 2019, 476:95-105.
[CCF B]
22. H. Liu, L. Yang, J. Ding, Y. Guo, X. Xie, Z. Wang.
Scalable Tensor-Train-Based Tensor Computations for Cyber-Physical-Social Big Data.
IEEE Transactions on Computational and Social Systems (TCSS), doi:10.1109/TCSS.2019.2957337.
[IEEE/ACM Trans]
23. J. Zhang, Z. Wang, K. Wang, S. Guo, B. Wang, M. Guo.
Improving Power Efficiency for Online Video Streaming Service: A Self-Adaptive Approach.
IEEE Transactions on Sustainable Computing (TSUSC), short, 2019, 4(3): 308-313.
[IEEE/ACM Trans]
24. M. Zeng, B. Yao, Z. Wang, Y. Shen, F. Li, J. Zhang, H. Lin, M. Guo.
CATIR: An Efficient Method for Content-and-Text Based Image Retrieval.
Journal of Computer Science and Technology (JCST), 2019, 34(2): 287-304.
[CCF B]
25. Z. Quan, Y. Guo, X. Lin, Z. Wang, X. Zeng.
GraphCPI: Graph Neural Representation Learning for Compound-Protein Interaction.
IEEE International Conference on Bioinformatics & Biomedicine (BIBM), 2019, San Diego, California, USA.
[CCF B]
26. Z. Wang, Z. Quan, Z. Wang, X. Hu, Y. Chen.
Text To Image Synthesis with Bidirectional Generative Adversarial Network.
IEEE International Conference on Multimedia & Expo (ICME),oral, 2020, London, United Kingdom.
[CCF B]
27. W. Liu, Z. Wang, B. Yao, M. Nie, J. Wang, R. Mao and J. Yin.
Geographical Relevance Model for Long Tail Point-of-Interest Recommendation.
The 23rd International Conferfence on Database Systems for Advanced Applications (DASFAA), 2018, Gold Coast, Queensland, Australia.
[CCF B]
28. Z. Quan, X. Lin, Z. Wang, Yan Liu, F. Wang, K. Li.
A System for Learning Atoms Based on Long Short-Term Memory Recurrent Neural Networks.
IEEE International Conference on Bioinformatics & Biomedicine (BIBM), 2018, Madrid, Spain.
[CCF B]
29. Z. Wang, L. Ma, X. Lin, H. Zhong.
Saliency Detection via Multi-Center Convex Hull Prior.
The 43rd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2018, Calgary, Canada.
[CCF B]
30. B. Yao, W. Zhang, Z. Wang, Z. Chen, S. Shang, K. Zheng, M. Guo.
Distributed In-memory Analytics for Big Temporal Data.
The 23rd International Conference on Database Systems for Advanced Applications (DASFAA),2018,Gold Coast, Queensland, Australia.
[CCF B]
31. Z. Wang, L. Ma, X. Lin, X. Wu.
MSGC: A New Bottom-Up Model for Salient Object Detection.
IEEE International Conference on Multimedia & Expo (ICME), oral, 2018, San Diego, California, USA.
[CCF B]
32. H. Hu, S. Qian, J. Cao, J. Yu, G. Xue, Y. Zhu, M. Li, Z. Wang.
Optimizing The Waiting Time of Sensors in A MANET to Strike A Balance between Energy Consumption and Data Timeliness.
The 25th IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2019, Tianjin, China.
[Best Student Paper]
4. 主要研究项目与基金：
1. 国家自然科学基金面上项目, “Query Processing for Moving Objects in Obstructed Space"，负责人（PI）
2. 国家自然科学基金广东联合基金重点项目, “Acquisition, Management and Knowledge Construction of Educational Big Data"，共同负责人(Co-PI).
3. 国家重点研发计划, “High Efficient and Scalable Big Data Computing Model, Optimization Technology and System", 参与人 (Participant).
4. 重庆大学引进人才科研启动基金, 负责人 (PI).
5. 国家自然科学基金青年基金, "Incremental Format Inference from Ad Hoc Data", 参与人 (Participant).
