Pengpeng Zhao 赵朋朋

Ph. D, Professor 教授 博导

School of Computer Science and Technology, Soochow University

Office:   Room 303, Ligong Building, Soochow University

Email：ppzhao@suda.edu.cn
Biography

Dr. Pengpeng Zhao is a professor at Soochow University and a leading talent in Suzhou Industrial Park. He received his Ph.D. in Computer Science from Soochow University in 2008. From 2016 to 2017, he was a visiting scholar, working with Professor Hui Xiong at the Data Mining and Business Analysis Laboratory at Rutgers University. In recent years, his research has been supported by Natural Science Foundation of China and Natural Science Foundation of Jiangsu Province. He won two Suzhou Science and Technology Progress Awards. He has published more than 70 papers in international conferences and journals, and 40+ papers were published in CCF rank A/B conferences, such as TKDE, AAAI, IJCAI, ACM MM, WWW, ICDM, CIKM, DASFAA, and ICME. He submitted more than 30 national invention patents applications, of which 20 are authorized. He has served as editorial board member of the International Journal of Intelligent Information Systems, reviewer of many important academic Journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Knowledge Discovery from Data, IEEE Transactions on Big Data, and IEEE Transactions on Cybernetics, as well as program committee member of international conferences such as AAAI, IJCAI, CIKM, DASFAA and PAKDD. His current research interests include data mining, deep learning, big data analysis, and recommender systems.
What's New

· [24 February 2021] Congratulations to my graduate student Jing Zhao! Our paper "Variational Self-attention Network for Sequential Recommendation" is accepted by ICDE 2021（CCF A）.

· [14 January 2021] Congratulations to my graduate students Xintao Tian, Changheng Li, Yunyi Li and Binghao Liu! We have four papers on "Recommender System" ACCEPTED by DASFAA 2021(CCF B).

· [01 December 2020] Senior Program Committee (SPC) member invitation for IJCAI 2021.

· [16 October 2020] Congratulations to my graduate student Chengfeng Xu! We have one paper on "Sequential Recommendation" ACCEPTED by Neurocomputing（SCI Q1）.

· [26 September 2020] Program Committee member invitation for IJCAI 2021.

· [24 September 2020] Program Committee member invitation for DASFAA 2021.

· [20 August 2020] Program Committee member invitation for PAKDD 2021.

· [14 August 2020] Program Committee member invitation for AAAI 2021.

· [26 June 2020] Congratulations to my graduate student Anjing Luo! Our paper "Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation" is accepted by the top data mining and database journal IEEE Transaction on Knowledge and Data Engineering (TKDE).

· [24 June 2020] Program Committee member invitation for CIKM 2020.

· [20 April 2020] Congratulations to my graduate student Anjing Luo! We have one paper on "Session-based Recommendation" ACCEPTED by IJCAI 2020.

· [22 March 2020] Program Committee member invitation for the Nineteenth China National Conference on Computational Linguistics, CCL 2020.

· [14 February 2020] Congratulations to my graduate students Jing Zhao, Jun Ma, Yanghong Wu and Haoran Yan! We have four papers on "Sequential Recommendation" ACCEPTED by DASFAA 2020(CCF B).

· [11 January 2020] Congratulations to my graduate student Jian Liu! We have one paper on "Exploiting Aesthetic Preference in Deep Cross Networks for Cross-domain Recommendation" ACCEPTED by WWW 2020.

· [2 December 2019] Program Committee member invitation for IJCAI 2020.

· [5 November 2019] Program Committee member invitation for DASFAA 2020.

· [16 September 2019] Congratulations to my graduate student Chengfeng Xu! Our paper "Photo2Trip: Exploiting Visual Contents in Geo-tagged Photos for Personalized Tour Recommendation" is accepted by the top data mining and database journal IEEE Transaction on Knowledge and Data Engineering (TKDE).

· [15 August 2019] Our paper "Multi-Label Active Learning Algorithms for Image Classification: Overview and Future Promise” is accepted by the top ACM flag journal ACM Computing Surveys (CSUR).

· [10 September 2019] Program Committee member invitation for PAKDD 2020.

· [20 August 2019] Program Committee member invitation for ACM MM Asia 2019.

· [7 August 2019] Program Committee member invitation for AAAI 2020.

· [10 May 2019] Congratulations to my graduate students Tingting Zhang and Chengfeng Xu! We have two papers on “Sequential Recommendation” ACCEPTED by IJCAI'19.

· [21 January 2019] Congratulations to my graduate student Chenfeng Xu! We have one paper on "Sequential Recommendation" ACCEPTED by WWW’19.
Research

· Data Mining

· Mobile Intelligence

· Recommender System

· Big Data Analytics
Publication

1. Jing Zhao, Pengpeng Zhao, Lei Zhao, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou. Variational Self-attention Network for Sequential Recommendation. In Proceedings of 37th International Conference on Data Engineering (ICDE 2021), April 19-22, 2021. Chania, Greece. (CCF Rank A)

2. Chengfeng Xu, Jian Feng, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng, Long- and short-term self-attention network for sequential recommendation.  Neurocomputing, 423: 580-589, 2021. (SCI, 中科院二区)

3. Xintao Tian, Yongjing Hao, Pengpeng Zhao, Deqing Wang, Yanchi Liu, Victor S. Sheng. Considering Interaction Sequence of Historical Items for Conversational Recommender System. In Proceedings of 26th International Conference on Database Systems for Advanced Applications (DASFAA2021), April 11-14, 2021 (CCF Rank B)

4. Changheng Li, Yongjing Hao, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng. Tell me Where to Go Next: Improving POI Recommendation via Conversation. In Proceedings of 26th International Conference on Database Systems for Advanced Applications (DASFAA2021), April 11-14, 2021 (CCF Rank B)

5. Yunyi Li, Pengpeng Zhao, Deqing Wang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng. Learning Disentangled User Representation Based on Controllable VAE for Recommendation. In Proceedings of 26th International Conference on Database Systems for Advanced Applications (DASFAA2021), April 11-14, 2021 (CCF Rank B)

6. Binghao Liu, Pengpeng Zhao, Fuzhen Zhuang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng. Knowledge-aware Hypergraph Neural Network for Recommender Systems. In Proceedings of 26th International Conference on Database Systems for Advanced Applications (DASFAA2021), April 11-14, 2021 (CCF Rank B)

7. Pengpeng Zhao, Anjing Luo, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, and Xiaofang Zhou. Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 (CCF Rank A)

8. Anjing Luo, Pengpeng Zhao, Yanchi Liu, Fuzhen Zhuang, Deqing Wang, Jiajie Xu, Junhua Fang, Victor S. Sheng. Collaborative Self-Attention Network for Session-based Recommendation, the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020), July 11-17, 2020. Yokohama, Japan. (CCF Rank A)

9. Jian Wu, Victor S. Sheng, Jing Zhang, Hua Li, Tetiana Dadakova, Christine Swisher, Zhiming Cui and Pengpeng Zhao*, Multi-Label Active Learning Algorithms for Image Classification: Overview and Future Promise. ACM Computing Surveys (CSUR), 53(2):1-35, March 2020. (SCI, 中科院一区)

10. Jian Liu, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou and Hui Xiong. Exploiting Aesthetic Preference in Deep Cross Networks for Cross-domain Recommendation, in Proceeding of the WEB conference (WWW2020), Taipei, April 20-24, 2020 (CCF Rank A)

11. Jing Zhao, Pengpeng Zhao, Yanchi Liu, Victor Sheng, Zhixu Li and Lei Zhao. Hierarchical Variational Attention for Sequential Recommendation. In Proceedings of 25th International Conference on Database Systems for Advanced Applications (DASFAA2020), May 21-24, 2020, Jeju, South Korea(CCF Rank B)

12. Jun Ma, Pengpeng Zhao, Yanchi Liu, Victor Sheng, Jiajie Xu and Lei Zhao. Modeling Periodic Pattern with Self-Attention Network for Sequential Recommendation. In Proceedings of 25th International Conference on Database Systems for Advanced Applications (DASFAA2020), May 21-24, 2020, Jeju, South Korea(CCF Rank B)

13. Yanghong Wu, Pengpeng Zhao, Yanchi Liu, Victor Sheng, Junhua Fang and Fuzhen Zhuang. Vector-Level and Bit-Level Feature Adjusted Factorization Machine for Sparse Prediction. In Proceedings of 25th International Conference on Database Systems for Advanced Applications (DASFAA2020), May 21-24, 2020, Jeju, South Korea(CCF Rank B)

14. Haoran Yan, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu and Victor Sheng. Cross-Domain Recommendation with Adversarial Examples. In Proceedings of 25th International Conference on Database Systems for Advanced Applications (DASFAA2020), May 21-24, 2020, Jeju, South Korea(CCF Rank B)

15. Xinyu Chen, Jiajie Xu, Rui Zhou, Pengpeng Zhao, Chengfei Liu, Junhua Fang, Lei Zhao: S2R-tree: a pivot-based indexing structure for semantic-aware spatial keyword search. GeoInformatica 24(1): 3-25, 2020(SCI, CCF Rank B)

16. Xiaozhao Song, Jiajie Xu, Rui Zhou, Chengfei Liu, Kai Zheng, Pengpeng Zhao, Nickolas Falkner: Collective spatial keyword search on activity trajectories. GeoInformatica 24(1): 61-84, 2020 (SCI, CCF Rank B)

17. Maolong Li, Zhixu Li, Qiang Yang, Zhigang Chen, Pengpeng Zhao, Lei Zhao: A crowd-efficient learning approach for NER based on online encyclopedia. World Wide Web 23(1): 453-470, 2020 (SCI, CCF Rank B)

18. Jinjing Huang, Wei Chen, Zhixu Li, Pengpeng Zhao, Weiqing Wang, Hongzhi Yin, Lei Zhao: SGPM: a privacy protected approach of time-constrained graph pattern matching in cloud. World Wide Web 23(1): 519-547, 2020(SCI, CCF Rank B)

19. Junhua Fang, Jiafeng Ding, Pengpeng Zhao, Jiajie Xu, An Liu, Zhixu Li: Distributed and parallel processing for real-time and dynamic spatio-temporal graph. World Wide Web 23(2): 905-926, 2020(SCI, CCF Rank B)

20. Pengpeng Zhao, Chengfeng Xu, Yanchi Liu, Victor S. Sheng, Kai Zheng, Hui Xiong, Xiaofang Zhou, Photo2Trip: Exploiting Visual Contents in Geo-tagged Photos for Personalized Tour Recommendation, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019 (CCF Rank A)

21. Jiajie Xu, Jing Zhao, Rui Zhou, Chengfei Liu, Pengpeng Zhao, Lei Zhao, Destination Prediction A Deep Learning based Approach, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019 (CCF Rank A)

22. Huizhao Wang, Guanfeng Liu, Yan Zhao, Bolong Zheng, Pengpeng Zhao, and Kai Zheng, DMFP: A Dynamic Multi-faceted Fine-grained Preference Model for Recommendation，In Proceedings of the 18th IEEE Conference on Data Mining (ICDM 2019), 2019. (CCF Rank B)

23. Pengfei Ding, Guanfeng Liu, Pengpeng Zhao, An Liu, Zhixu Li, and Kai Zheng, Reinforcement Learning Based Monte Carlo Tree Search for Temporal Path Discovery，In Proceedings of the 18th IEEE Conference on Data Mining (ICDM 2019), 2019. (CCF Rank B)

24. Junhua Fang, Pengpeng Zhao, An Liu, Zhixu Li, Lei Zhao, Scalable and Adaptive Joins for Trajectory Data in Distributed Stream System, Journal of Computer Science and Technology (JCST). 34(4): 747-761, 2019. (CCF Rank B)

25. Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu, Xiaofang Zhou，Feature-level Deeper Self-Attention Network for Sequential Recommendation，In Proceedings of 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), August 10-16 2019, Macao, China (CCF Rank A)

26. Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Victor Sheng, Jiajie Xu, Fuzhen Zhuang, Junhua Fang, Xiaofang Zhou，Graph Contextualized Self-Attention Network for Session-based Recommendation，In Proceedings of 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), August 10-16 2019, Macao, China (CCF Rank A)

27. Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Victor S. Sheng, Zhiming Cui, Xiaofang Zhou, Hui Xiong. Recurrent Convolutional Neural Network for Sequential Recommendation, in Proceeding of the WEB conference (WWW2019), San Francisco, May 13-17, 2019 (CCF Rank A)

28. Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng and Xiaofang Zhou. Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation, In Proceedings of 33rd AAAI Conference on Artificial Intelligence (AAAI 2019), January 27 – February 1, Hawaii, USA.(CCF Rank A)

29. Jian Liu, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui. Attention and Convolution Enhanced Memory Network for Sequential Recommendation. In Proceedings of 24th International Conference on Database Systems for Advanced Applications (DASFAA2019), 22-25 April 2019 Chiang Mai, Thailand (CCF Rank B)

30. Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui. AdaCML: Adaptive Collaborative Metric Learning for Recommendation. In Proceedings of 24th International Conference on Database Systems for Advanced Applications (DASFAA2019), 22-25 April 2019 Chiang Mai, Thailand (CCF Rank B)

31. Anjing Luo, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Zhixu Li, Lei Zhao, Victor S. Sheng, Zhiming Cui. Adaptive Attention-Aware Gated Recurrent Unit for Sequential Recommendation. In Proceedings of 24th International Conference on Database Systems for Advanced Applications (DASFAA2019), 22-25 April 2019 Chiang Mai, Thailand(CCF RNAK B)

32. Fuzhen He, Zhixu Li, Qiang Yang, An Liu, Guanfeng Liu, Pengpeng Zhao, Lei Zhao, Min Zhang, Zhigang Chen: Unsupervised Entity Alignment Using Attribute Triples and Relation Triples. In Proceedings of 24th International Conference on Database Systems for Advanced Applications (DASFAA2019), 22-25 April 2019 Chiang Mai, Thailand(CCF RNAK B)

33. Yongye Qian, Pengpeng Zhao, Zhixu Li, Junhua Fang, Lei Zhao, Victor S.Sheng and Zhiming Cui, Interaction Graph Neural Network for News Recommendation, In Proceedings of the 20th International Conference on Web Information Systems Engineering(WISE 2019), 2019. (CCF Rank C)

34. Xiaojie Chen, Pengpeng Zhao, Jiajie Xu, Zhixu Li, Lei Zhao, Yanchi Liu, Victor S. Sheng and Zhiming Cui, Exploiting Visual Contents in Posters and Still Frames for Movie Recommendation, IEEE ACCESS (accepted in October 2018, Impact Factor=3.557)

35. Jing Zhao, Jiajie Xu, Rui Zhou, Pengpeng Zhao, Chengfei Liu, Feng Zhu: On Prediction of User Destination by Sub-Trajectory Understanding: A Deep Learning based Approach. CIKM 2018: 1413-1422. (CCF Rank B)

36. Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Ziting Zhou, Zhixu Li, Jiajie Xu, Lei Zhao, and Victor S. Sheng, A Generative Model Approach for Geo-social Group Recommendation. Journal of Computer Science and Technology (JCST) (Accepted in May 2018) (SCIE, CCF Rank B)

37. Zhongjian Lv, Jiajie Xu, Kai Zheng, Hongzhi Yin, Pengpeng Zhao, Xiaofang Zhou, LC-RNN: A Deep Learning Model for Traffic Speed Prediction, In Proceedings of 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), Stockholm, Sweden, July 13-19, 2018. (CCF Rank A)

38. Qing Qian, Zhixu Li, Pengpeng Zhao, Wei Chen, Hongzhi Yin and Lei Zhao. Publishing Graph Node Strength Histogram with Edge Differential Privacy, 23nd International Conference on Database Systems for Advanced Applications (DASFAA2018), Gold Coast, Australia 2018.5.21-2018.5.24 (CCF Rank B)

39. Haifeng Zhu, Pengpeng Zhao, Zhixu Li, Jiajie Xu, Lei Zhao, Victor S. Sheng, Exploiting Implicit Social Relationship for Point-of-Interest Recommendation. APWeb-WAIM Joint Conference on Web and Big Data 2018 (APWeb-WAIM 2018) July 23-25, 2018, Macau, China. (CCF Rank C)

40. Jian Wu, Anqian Guo, Victor S.Sheng, Pengpeng Zhao and Zhiming Cui: An Active Learning Approach for Multi-Label Image Classification with Sample Noise. IJPRAI 32(3): 1-23 (2018)(CCF Rank C)

41. Zhihu Qian, Jiajie Xu, Kai Zheng, Pengpeng Zhao, Xiaofang Zhou: Semantic-aware top-k spatial keyword queries. World Wide Web: Internet and Web Information Systems(WWWJ) 21(3): 573-594,2018. (SCI, CCF Rank B)

42. Pengpeng Zhao, Xiefeng Xu, Yanchi Liu, Victor S.Sheng, Kai Zheng and Hui Xiong, Photo2Trip: Exploiting Visual Contents in Geo-tagged Photos for Personalized Tour Recommendation. In Proceedings of 25th ACM International Conference on Multimedia (ACM MM), 2017. (CCF Rank A)

43. Jian Wu, Anqian Guo, Victor S. Sheng, Pengpeng Zhao and Zhiming Cui, Adaptive Low-Rank Multi-Label Active Learning for Image Classification. In Proceedings of 25th ACM International Conference on Multimedia (ACM MM), 2017. (CCF Rank A)

44. Pengpeng Zhao, Xiefeng Xu, Yanchi Liu, Ziting Zhou, Kai Zheng, Victor S. Sheng, and Hui Xiong, Exploiting Hierarchical Structures for POI Recommendation. In Proceedings of the 16th IEEE Conference on Data Mining (ICDM 2017), 2017. (CCF Rank B)

45. Anqian Guo, Jian Wu, Victor S. Sheng, Pengpeng Zhao and Zhiming Cui. Multi-Label Active Learning with Low-Rank Mapping for Image Classification. IEEE International Conference on Multimedia & Expo, 2017 (ICME, CCF Rank B).

46. Yan Long, Pengpeng Zhao, Victor S. Sheng, Guanfeng Liu, Jiajie Xu, Jian Wu, and Zhiming Cui. Social Personalized Ranking Embedding For Next POI Recommendation. In Proceedings of The 18th International Conference on Web Information System Engineering (WISE 2017), 2017. (CCF Rank C)

47. Jian Wu, Shiquan Zhao, Victor S. Sheng, Jing Zhang, Chen Ye, Pengpeng Zhao, Zhiming Cui, Weak Labeled Active Learning with Conditional Label Dependence for Multi-label Image Classification. IEEE Transactions on Multimedia, 2017.(SCI, CCF Rank B)

48. Wei Jiang, Jie Zhu, Jiajie Xu, Zhixu Li, Pengpeng Zhao and Lei Zhao, A feature based method for trajectory dataset segmentation and profiling.World Wide Web: Internet and Web Information Systems (WWWJ),(Accepted in January 2017) (SCI, CCF Rank B)

49. Zhongjian Lv, Jiajie Xu, Pengpeng Zhao, Guanfeng Liu, Lei Zhao, Xiaofang Zhou, Outlier Trajectory Detection: A Trajectory Analytics Bases Approach, 22nd International Conference on Database Systems for Advanced Applications (DASFAA2017) (CCF Rank B), Suzhou, 2017.3.27-2017.3.30

50. Chunhua Li, Pengpeng Zhao, Victor S.Sheng, Xuefeng Xian, Jian Wu and Zhiming Cui, Refining Automatically Extracted Knowledge Bases Using Crowdsourcing. Comp. Int. and Neurosc. 2017: 4092135:1-4092135:17 (SCI)

51. Jian Wu, Chen Ye, Victor S.Sheng, Jing Zhang, Pengpeng Zhao and Zhiming Cui, Active learning with label correlation exploration for multi-label image classification. IET Computer Vision 11(7): 577-584 (SCI, CCF Rank C)

52. Xiefeng Xu, Pengpeng Zhao, Guanfeng Liu, Caidong Gu, Jiajie Xu, Jian Wu, and Zhiming Cui, A Hybrid Method for POI Recommendation: Combining Check-in Count, Geographical Information and Reviews. The 18th Asia Pacific Web Conference (APWeb 2016) Sept 23-25, 2016, Suzhou, China. (CCF Rank C)

53. Pengpeng Zhao, Hanhan Jiang, Jiajie Xu,Victor S. Sheng, Guanfeng Liu,An Liu, Jian Wu, and Zhiming Cui, Location-Aware Publish/Subscribe Index with Complex Boolean Expressions. World Wide Web Journal (WWWJ),(Accepted in September 2016) (SCI, CCF Rank B)

54. Ziting Zhou, Pengpeng Zhao, Victor S. Sheng, Jiaije Xu, Zhixu Li, Jian Wu, and Zhiming Cui, Efficient Sampling Methods for Characterizing POIs on Maps Based on Road Networks, Frontiers of Computer Science(FCS),(Accepted in July 2016) (SCI, CCF Rank C)

55. Pengpeng Zhao, Hailin Fang, Victor S. Sheng, Zhixu Li, Jiajie Xu,Jian Wu, and Zhiming Cui, Monochromatic and Bichormatic Ranked Reverse Boolean Spatial Keyword Nearest Neighbors Search.World Wide Web Journal (WWWJ),(Accepted in May 2016) (SCI, CCF Rank B)

Xuefeng Xian, Pengpeng Zhao, Victor S. Sheng, Ligang Fang, Caidong Gu, Yuanfeng Yang, and Zhiming Cui, Stratification-Based Outlier Detection over the Deep Web, Computational Intelligence and Neuroscience, Volume 2016, 13 pages, 2016. doi:10.1155/2016/7386517 (SCI)

56. Jian Wu, Shiquan Zhao, Victor S. Sheng, Pengpeng Zhao and Zhiming Cui, Multi-label Active Learning for Image Classification with Asymmetrical Conditional Dependence, 2016 IEEE International Conference on Multimedia and Expo (ICME 2016) , (CCF Rank B)

57. Chunhua Li, Pengpeng Zhao, Victor S. Sheng, Zhixu Li, Guangfeng Liu, Jian Wu and Zhiming Cui. A Hybrid Machine-Crowdsourcing Approach for Web Table Matching and Cleaning. The 17th International Conference on Web-Age Information Management (WAIM 2016). (EI, CCF Rank C)

58. Qiang Yang, Zhixu Li, Binbin Gu, An Liu, Guanfeng Liu, Pengpeng Zhao and Lei Zhao, "CTextEM: Using Consolidated Textual Data for Entity Matching". In Proceedings of the 21th International Conference on Databae System for Advanced Applications (DASFAA 2016), April 2016, Dallas, Texas, USA. (EI, CCF Rank B)

59. Shushu Liu, An Liu, Lei Zhao, Guanfeng Liu, Zhixu Li, Pengpeng Zhao and Kai Zheng. Efficient Query Processing with Mutual Privacy Protection for Location-Based Services. The 21th International Conference on Database Systems for Advanced Applications (DASFAA 2016). April 2016, Dallas, Texas, USA. (EI, CCF Rank B)

60. Hanhan Jiang, Pengpeng Zhao, Victor S Sheng, Jiajie Xu, An Liu, Jian Wu and Zhiming Cui. An Efficient Location-Aware Top-k Subscription Matching for Publish/Subscribe with Boolean Expressions. The 21th International Conference on Database Systems for Advanced Applications (DASFAA 2016) .April 2016, Dallas, Texas, USA. (EI, CCF Rank B)

61. Wei Jiang, Jie Zhu, Zhixu Li, Pengpeng Zhao, An Liu, and Lei Zhao,HV: A Feature Based Method for Trajectory Dataset Profiling, The Sixteenth International Conference on Web Information System Engineering (WISE 2015)October 18-20, 2015, Miami, Florida, USA (CCF Rank C，Best Student Paper)

62. Hanhan Jiang, Pengpeng Zhao, Victor S. Sheng, Guanfeng Liu, An Liu, Jian Wu, and Zhiming Cui, An Efficient Location-Aware Publish/Subscribe Index with Boolean Expressions, The Sixteenth International Conference on Web Information System Engineering (WISE 2015) October 18-20, 2015, Miami, Florida, USA (CCF Rank C)

63. Hailin Fang, Pengpeng Zhao, Victor S. Sheng, Zhixu Li, Jiajie Xu,Jian Wu, and Zhiming Cui,Ranked Reverse Boolean Spatial Keyword Nearest Neighbors Search, The Sixteenth International Conference on Web Information System Engineering (WISE 2015) October 18-20, 2015, Miami, Florida, USA (CCF Rank C，Best Student Paper Finalist)

64. Shiquan Zhao, Jian Wu, Victor S. Sheng, Chen Ye, Pengpeng Zhao, Zhiming Cui. Weak Labeled Multi-label Active Learning for Image Classification, ACM International Conference on Multimedia 2015 (MM2015), 6 - 30 October 2015, Brisbane, Australia(CCF Rank A)

65. Xusheng Ai, Jian Wu, Victor S. Sheng, Yufeng Yao, Pengpeng Zhao, Zhiming Cui. Best First Over-sampling for Multilabel Classification, The 24th ACM International Conference on Information and Knowledge Management(CIKM2015), 19-23 October 2015, Melbourne, Australia (CCF Rank B)

66. Jian Wu, Chen Ye, Victor S. Sheng, Yufeng Yao, Pengpeng Zhao, Zhiming Cui. Semi-Automatic Labeling with Active Learning for Multi-Label Image Classification. Accepted by PCM 2015. (CCF Rank C)

67. Lei Gao, Pengpeng Zhao, Victor S. Sheng, Zhixu Li, An Liu, Jian Wu, Zhiming Cui, EPEMS: An Entity Matching System For E-Commerce Products, The 17th Asia-Pacific Web Conference(APWeb 2015), September 2015, Guangzhou, China (CCF Rank C)

68. Feng Zhu, Guanfeng Liu, Yan Wang, An Liu, Zhixu Li, Pengpeng Zhao, and Lei Li, “A Context -Aware Trust-Oriented Influencers in Online Social Networks“. In Proceedings of the 22nd The IEEE International Conference on Web Services (ICWS), June 2015, New York, USA (EI, CCF Rank B)

69. Pengpeng Zhao, Xiaopeng Kuang, Victor S. Sheng, Jiajie Xu, Jian Wu, Zhiming Cui, Scalable Top-k Spatial Image Search on RoadNetworks, 20th International Conference on Database Systems for Advanced Applications (DASFAA2015) (CCF Rank B), Hanoi, 2015.4.20-2015.4.23

70. Chenghao Zhu, Jiajie Xu, Chengfei Liu, Pengpeng Zhao, Zhixu Li, Lei Zhao: Efficient Trip Planning for Maximizing User Satisfaction. 20th International Conference on Database Systems for Advanced Applications (DASFAA2015) (CCF Rank B), Hanoi, 2015.4.20-2015.4.23

71. Ziting Zhou, Pengpeng Zhao, Victor S. Sheng, Jiajie Xu, Zhixu Li, Jian Wu, Zhiming Cui, Effective Sampling of Points of Interests on Maps based on Road Networks, The 16th International Conference on Web-Age Information Management (WAIM2015) (CCF Rank C) June 8-10, 2015, Qingdao, China

72. Haihui Xu, Pengpeng Zhao, Victor S. Sheng, Guanfeng Liu, Lei Zhao, Jian Wu, Zhiming Cui, Batch Mode Active Learning for Networked Data With Optimal Subset Selection, The 16th International Conference on Web-Age Information Management (WAIM2015) (CCF Rank C) June 8-10, 2015, Qingdao, China

73. Yuanliu Liu, Pengpeng Zhao, Victor S. Sheng，Zhixu Li, An Liu, Jian Wu, Zhiming Cui, RPCV: Recommend Potential Customers to Vendors in Location-based Social Network, The 16th International Conference on Web-Age Information Management (WAIM2015) (CCF Rank C) June 8-10, 2015, Qingdao, China

74. Xiaopeng Kuang, Pengpeng Zhao, Victor S. Sheng, Jian Wu, Zhixu Li, Guanfeng Liu and Zhiming Cui, TK-SK: Textual-restricted K Spatial Keyword Query on Road Networks, in the 26th edition of the Australasian Database Conference, ADC 2015, 4–6 June 2015 in Melbourne, Australia

75. Hailin Fang, Pengpeng Zhao, Victor S. Sheng, Jian Wu, Jiajie Xu, An Liu and Zhiming Cui, Effective Spatial Keyword Query Processing on Road Networks, in the 26th edition of the Australasian Database Conference, ADC 2015, 4–6 June 2015 in Melbourne, Australia

76. Chen Ye, Jian Wu, Victor S. Sheng, Shiquan Zhao, Pengpeng Zhao, Zhiming Cui. Multi-Label Active Learning with Chi-Square Statistics for Image Classification. ICMR 2015. (CCF Rank B)

77. Jie Xin, Zhiming Cui, Pengpeng Zhao, Tianxu He, Actively Transfer Learning of Matching Query Results across Multiple-sources, Frontiers of Computer Science 9(4): 595-607(2015) (SCI)

78. Jian Wu, Victor S. Sheng,Jing Zhang, Pengpeng Zhao, Zhiming Cui, Multi-label Active Learning for Image Classification, 2014 IEEE International Conference on Image Processing (ICIP 2014) (CCF Rank C), Paris, 2014.11.21-2014.11.22
Projects

Research Projects

· PI: POI Recommendation with Dynamic Preferences on Sparse Data Using Deep Learning. NSFC General Project, 2019/01-2022/12.

· PI: Research on Deep Web Information Aggregation Privacy Protection. NSFC Yong Scholar Project, 2011/01-2013/12.

· Co-PI: Multi-source Heterogeneous Knowledge Integration based on Markov Logic Network. NSFC General Project, 2015/01-2015/12.

· Co-PI: Large-scale Knowledge Base Construction base on Deep Web. NSFC General Project, 2012/01-2015/12.

· Co-PI: Deep Web Incremental Information Acquisition based on Logic Reinforcement Learning. NSFC General Project, 2010/01-2012/12.

Industry Projects

· PI: Image (Photo) Search and Recommendation, 苏州工业园区科技领军人才项目

· PI: Research on streaming computing，Cooperation with 国电南瑞科技股份有限公司

· PI: Research on Technology Information Recommender System，Cooperation with 北航

· PI: Insurance customer churn prediction model，Cooperation with 益进信息服务（苏州）有限公司

· PI: Research and Development on Fire station planning，Cooperation with 苏州数字地图信息科技股份有限公司

· PI: Research on Fire Risk Analysis，Cooperation with 苏州数字地图信息科技股份有限公司
Group Members

Phd. Student Supervision

· Yongjing Hao (started in September, 2020)

Master Student Supervision

· Yanghong Wu (started in September, 2018)

· Ma Jun (started in September, 2018)

· Zhao Jing (started in September, 2018)

· Anjing Luo (started in September, 2018)

· Jiacheng Ni (started in September, 2018)

· Feng Jian (started in September, 2018， Co-supervised with Prof. Charles Ling)

· XingWei Zhu (started in September, 2018， Co-supervised with Prof. Charles Ling)

· Chunyu Pan (started in September, 2018， Co-supervised with Prof. Charles Ling)

· Haoran Yan (started in September, 2018， Co-supervised with Prof. Charles Ling)

· Qianqian Wu (started in September, 2018， Co-supervised with Prof. Charles Ling)

· Yunyi Li (started in September, 2019)

· Shenghao Zheng (started in September, 2019)

· Yepeng Li (started in September, 2019)

· Xintao Tian (started in September, 2019)

· Binghao Liu (started in September, 2019， Co-supervised with Prof. Charles Ling)

· Changheng Li (started in September, 2019， Co-supervised with Prof. Charles Ling)

· Hui Shi (started in September, 2020)

· Huiwang Zhang (started in September, 2020)

· Tao Jiang (started in September, 2020)

· Mingyuan Huang (started in September, 2020)

· Yaxing Fang (started in September, 2020)

Graduated:

· Xu Zhou, Master student (Graduated in June 2015), Now at 字节跳动

· Lei Gao, Master student (Graduated in June 2015), Now at 苏州银行

· Hailin Fang, Master student (Graduated in June 2016), Now at 阿里巴巴

· Ziting Zhou, Master student (Graduated in June 2017), Now at 美团点评

· Xiaopeng Kuang, Master student (Graduated in June 2017), Now at 杭州雷数

· Hannah Jiang, Master student (Graduated in June 2017), Now at 飞依诺

· Yan Long, Master student (Graduated in June 2018), Now at 农商行

· Xiefeng Xu, Master student (Graduated in June 2018), Now at 喜马拉雅

· Haifeng Zhu, Master student (Graduated in June 2019), Now at 苏州华为

· Xiaojie Chen, Master student (Graduated in June 2019), Now at 招银科技

· Yongye Qian (Graduated in June 2020)，Now at 苏州公安局

· Jian Liu(Graduated in June 2020)，Now at 字节跳动

· Chengfeng Xu (Graduated in June 2020)，Now at 苏州微软

· Binbin Che (Graduated in June 2020)，Now at 杭州VIVO

· Tingting Zhang (Graduated in June 2020)，Now at 南京华为
Professional Service

1. PC Member for( CCF BigData 2015 2017 2019, CIKM2017, PAKDD2018, IJCAI2018, AAAI2019, PAKDD2019，IJCAI2019，ACM MM Asia2019, AAAI2020, PAKDD2020, DASFAA2020, IJCAI2020, AAAI2021, PAKDD2021, DASFAA2021, IJCAI2021)

2. Editorial Board Member, International Journal of Intelligent Information Systems

3. Journal Reviewer

· ACM Computing Surveys

· IEEE Transactions on Pattern Analysis and Machine Intelligence

· IEEE Transactions on Knowledge and Data Engineering

· IEEE Transactions on Cybernetics

· ACM Transactions on Big Data

· ACM Transactions on Intelligent Systems and Technology

· BCM Transactions on Knowledge Discovery from Data

· Data Mining and Knowledge Discovery

· Journal of Computer Science and Technology

· World Wild Web Journal

· Information Sciences

· Pattern Recognition

· Neurocomputing

· International Journal of Machine Learning and Cybernetics

· International Journal of Computational Intelligence Systems

· Frontiers of Computer Science

· 计算机学报

· 软件学报

· 自动化学报

· 中国科学：信息科学