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 100 papers in international conferences and journals, and 70+ 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, WSDM, CIKM, DASFAA and PAKDD. His current research interests include data mining, deep learning, big data analysis, and recommender systems.

We are recruiting two PhD students to conduct research in the areas of Distributed AI and Recommendation Systems. Our research group collaborates closely with Macquarie University, which is ranked among the top 50 in the world for Data Science and AI. This collaboration offers the opportunity to obtain dual PhD degrees (双博士学位) from Soochow University and Macquarie University, along with a scholarship of 43,000 AUD. Applications are welcome!

[29 April 2025] Congratulations to my PhD. student Hao Cang! Our paper "GPL4SRec: Graph Multi-Level Aware Prompt Learning for Streaming Recommendation" is accepted by IJCAI 2025 (CCF Rank A）.

[10 December 2024] Congratulations to my PhD. student Huanhuan Yuan! Our paper "Fuzzy Collaborative Reasoning" is accepted by AAAI 2025 (CCF Rank A）.

[28 May 2024] Congratulations to my PhD student, Huanhuan Yuan, for receiving a Cotutelle & Joint PhD(双博士学位项目) offer from Macquarie University, along with an annual scholarship of 43,000 AUD.

[7 April 2024] Congratulations to my graduate student Xinru Liu! Our paper "LMACL: Improving Graph Collaborative Filtering with Learnable Model Augmentation Contrastive Learning" is accepted by ACM Transactions on Knowledge Discovery from Data (TKDD, CCF Rank B）.

[15 March 2024] Congratulations to my graduate students Tongyu Wu! Our paper "Contrasting Transformer and Hypergraph Network for Cooperative Sequential Recommendation" is accepted by DASFAA 2024(CCF Rank B).

[09 March 2024] Congratulations to my PhD. student Yongjing Hao! Our paper "Meta-optimized Structural and Semantic Contrastive Learning for Graph Collaborative Filtering" is accepted by ICDE 2024（CCF Rank A）.

[28 January 2024] Our project "Large-Scale Distributed Data and Knowledge Hub Scheduling Mechanisms" was funded by the National Key Research and Development Program of China.

[16 December 2023] Congratulations to my graduate student Chao Long! Our paper "Learning Global and Multi-granularity Local Representation with MLP for Sequential Recommendation" is accepted by ACM Transactions on Knowledge Discovery from Data (TKDD, CCF Rank B）.

[06 December 2023] Congratulations to my undergraduate student Hanwen Du! Our paper "Feature-aware Contrastive Learning with Bidirectional Transformers for Sequential Recommendation" is accepted by IEEE Transaction on Knowledge and Data Engineering (TKDE, CCF Rank A）.

[01 December 2023] Congratulations to my PhD. student Yongjing Hao! Our paper "Meta-optimized Joint Generative and Contrastive Learning for Sequential Recommendation" is accepted by ICDE 2024（CCF Rank A）.

[26 October 2023] Congratulations to my PhD. student Yongjing Hao! Our paper "Learnable Model Augmentation Contrastive Learning for Sequential Recommendation" is accepted by IEEE Transaction on Knowledge and Data Engineering (TKDE, CCF Rank A）.

[25 September 2023] Congratulations to my graduate student Huiwang Zhang! Our paper "Click is not equal to Purchase: Multi-task Reinforcement Learning for Multi-behavior Recommendation" is accepted by World Wide Web Journal (CCF Rank B）.

[6 September 2023] Program Committee member invitation for WWW2024, DASFAA2024 and PAKDD2024.

[24 August 2023] Our project "Model Interpretable Recommendation Based on Neuro-Symbolic Reasoning" was funded by NSFC.

[20 April 2023] Congratulations to my PhD. student Huanhuan Yuan! Our paper "Sequential Recommendation with Probabilistic Logical Reasoning" is accepted by IJCAI 2023 (CCF Rank A）.

[5 April 2023] Congratulations to my undergraduate student Hanwen Du, graduate students Xiuyuan Qin and Xinyu Du! We have three papers on "Sequential Recommendation" ACCEPTED by SIGIR 2023（CCF Rank A）.

[4 March 2023] Congratulations to my PhD. student Yongjing Hao! Our paper "Multi-dimensional Graph Neural Network for Sequential Recommendation" is accepted by Pattern Recognition (CCF Rank B）.

[22 February 2023] Congratulations to my graduate student Yaxing Fang! Our paper "Quaternion-Based Graph Convolution Network for Recommendation" is accepted by World Wide Web Journal (CCF Rank B）.

[21 February 2023] Congratulations to my PhD. student Yongjing Hao! Our paper "Feature-level Deeper Self-Attention Network with Contrastive Learning for Sequential Recommendation" is accepted by IEEE Transaction on Knowledge and Data Engineering (TKDE, CCF Rank A）.

[10 February 2023] Congratulations to my graduate student Xinyu Du! Our paper "Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation" is accepted by ICDE 2023（CCF Rank A）.

[20 December 2022] Congratulations to my graduate student Yunyi Li! Our paper "Edge-Enhanced Global Disentangled Graph Neural Network for Sequential Recommendation" is accepted by ACM Transactions on Knowledge Discovery from Data (TKDD, CCF Rank B）.

[18 November 2022] Congratulations to my undergraduate student Huiwang Zhang! Our paper "Click is Not Equal to Purchase: Multi-task Reinforcement Learning for Multi-behavior Recommendation" has won the WISE 2022 Best Paper Award（CCF C）.

[03 August 2022] Congratulations to my undergraduate student Hanwen Du! Our paper "Contrastive Learning with Bidirectional Transformers for Sequential Recommendation" is accepted by CIKM 2022（CCF B）.

[12 July 2022] Senior Program Committee (SPC) member invitation for AAAI 2023.

[21 February 2022] Program Committee member invitation for CIKM 2022.

[22 November 2021] Program Committee member invitation for KDD 2022.

[25 August 2021] Program Committee member invitation for DASFAA 2022.

[19 August 2021] Program Committee member invitation for WSDM 2022.

[16 August 2021] Program Committee member invitation for AAAI 2022.

[09 July 2021] Program Committee member invitation for IJCAI 2022.

[29 April 2021] Our paper "MFNP: A Meta-optimized Model for Few-shot Next POI Recommendation" is accepted by IJCAI-21（CCF A）.

[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.

Data Mining

Mobile Intelligence

Recommender System

Big Data Analytics

Hao Cang, Huanhuan Yuan, Jiaqing Fan, Lei Zhao, Guanfeng Liu, Pengpeng Zhao. GPL4SRec: Graph Multi-Level Aware Prompt Learning for Streaming Recommendation, In Proceedings of  the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025). August 16 –22, 2025, Montreal, Canada. (CCF Rank A)

Jiayi Li, Junhua Fang, Pingfu Chao, Jiajie Xu, Pengpeng Zhao. DASS: A Dual-Branch Attention-based Framework for Trajectory Similarity Learning with Spatial and Semantic Fusion, In Proceedings of  the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025). August 16 –22, 2025, Montreal, Canada. (CCF Rank A)

Huanhuan Yuan, Pengpeng Zhao, Jiaqing Fan, Junhua Fang, Guanfeng Liu, Victor S. Sheng. Fuzzy Collaborative Reasoning. In Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025), February 25 – March 4, 2025, Philadelphia, USA. (CCF Rank A)

Shangfei Zheng, Hongzhi Yin, Tong Chen, Xiangjie Kong, Jian Hou, Pengpeng Zhao. CADRL: Category-aware Dual-agent Reinforcement Learning for Explainable Recommendations over Knowledge Graphs, In Proceedings of 41st International Conference on Data Engineering (ICDE 2025). May 19–23, 2025, Hong Kong SAR, China. (CCF Rank A)

Yongjing Hao, Pengpeng Zhao, Jianfeng Qu, Lei Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou. Meta-optimized Structural and Semantic Contrastive Learning for Graph Collaborative Filtering, In Proceedings of 40th International Conference on Data Engineering (ICDE 2024). May 13-17, 2024. Utrecht, Netherlands. (CCF Rank A)

Chunhui Feng, Junhua Fang, Yue Xia, Pingfu Chao, Pengpeng Zhao, Jiajie Xu, Xiaofang Zhou. Ocean: Online Clustering and Evolution Analysis for Dynamic Streaming Data, In Proceedings of 40th International Conference on Data Engineering (ICDE 2024). May 13-17, 2024. Utrecht, Netherlands. (CCF Rank A)

Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, and Xiaofang Zhou. Meta-optimized Joint Generative and Contrastive Learning for Sequential Recommendation, In Proceedings of 40th International Conference on Data Engineering (ICDE 2024). May 13-17, 2024. Utrecht, Netherlands. (CCF Rank A)

Youhua Li, Hanwen Du, Yongxin Ni, Pengpeng Zhao, Fajie Yuan, Qi Guo, and Xiaofang Zhou. Multi-Modality is All You Need for Transferable Recommender Systems, In Proceedings of 40th International Conference on Data Engineering (ICDE 2024). May 13-17, 2024. Utrecht, Netherlands. (CCF Rank A)

Yuyang Wei, Wei Chen, Xiaofang Zhang, Pengpeng Zhao, Jianfeng Qu, and Lei Zhao. Multi-modal Siamese Network for Few-shot Knowledge Graph Completion, In Proceedings of 40th International Conference on Data Engineering (ICDE 2024). May 13-17, 2024. Utrecht, Netherlands. (CCF Rank A)

Wen Yang, Jiajie Xu, Lu Chen, Jianxin Li, Pengpeng Zhao, and Chengfei Liu. Multi-view Attentive Variational Learning for Group Recommendation, In Proceedings of 40th International Conference on Data Engineering (ICDE 2024). May 13-17, 2024. Utrecht, Netherlands. (CCF Rank A)

Shangfei Zheng, Wei Chen, Weiqing Wang, Pengpeng Zhao, Hongzhi Yin, Lei Zhao. Multi-Hop Knowledge Graph Reasoning in Few-Shot Scenarios. IEEE Transactions on Knowledge and Data Engineering (TKDE), 36(4): 1713-1727, 2024.(CCF Rank A)

Xiuyuan Qin, Huanhuan Yuan , Pengpeng Zhao, Guanfeng Liu , Fuzhen Zhuang, Victor S. Sheng. Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation, In Proceedings of 17th International Conference on Web Search and Data Mining (WSDM 2024). March 4-8, 2024. Yucatan, Mexico. (CCF Rank B)

Yongjing Hao, Fuzhen Zhuang, Deqing Wang, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao. A General Strategy Graph Collaborative Filtering for Recommendation Unlearning, In Proceedings of 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024). October 21–25, 2024. Boise, Idaho, USA. (CCF Rank B)

Chao Long, Huanhuan Yuan, Junhua Fang, Xuefeng Xian, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao. Learning Global and Multi-granularity Local Representation with MLP for Sequential Recommendation. ACM Transactions on Knowledge Discovery from Data(TKDD), 18(4): 1-15, 2024. (CCF Rank B)

Xinru Liu, Yongjing Hao, Lei Zhao, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao. LMACL: Improving Graph Collaborative Filtering with Learnable Model Augmentation Contrastive Learning. ACM Transactions on Knowledge Discovery from Data(TKDD), 2024. (CCF Rank B)

Tongyu Wu, Jianfeng Qu, Deqing Wang, Zhiming Cui, Guanfeng Liu, Pengpeng Zhao. Contrasting Transformer and Hypergraph Network for Cooperative Sequential Recommendation. In Proceedings of 29th International Conference on Database Systems for Advanced Applications  (DASFAA2024), July 2-15, 2024, Gifu, Japan (CCF Rank B)

Shan Lei, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Junhua Fang, Guanfeng Liu, Victor S. Sheng. Improving graph collaborative filtering with multimodal-side-information-enriched contrastive learning. Journal of Intelligent Information Systems,62(1): 143-161, 2024.

Chuanjiu Wu, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Victor S. Sheng, Guanfeng Liu. Dual-Supervised Contrastive Learning for Bundle Recommendation. IEEE Transactions on Computational Social Systems, 2024.

Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao. Feature-aware Contrastive Learning with Bidirectional Transformers for Sequential Recommendation, IEEE Transactions on Knowledge and Data Engineering (TKDE), Accepted in December 2023.(CCF Rank A)

Yongjing Hao, Pengpeng Zhao, Xuefeng Xian，Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor Sheng, Xiaofang Zhou. Learnable Model Augmentation Contrastive Learning for Sequential Recommendation, IEEE Transactions on Knowledge and Data Engineering (TKDE), Accepted in October 2023.(CCF Rank A)

Huanhuan Yuan, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Yanchi Liu and Victor S. Sheng, Lei Zhao. Sequential Recommendation with Probabilistic Logical Reasoning, In Proceedings of 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023). August 19-25, 2023. Macao, China. (CCF Rank A)

Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu and Victor S. Sheng.Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation, In Proceedings of 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023). July 23-27, 2023. Taipei, China. (CCF Rank A)

Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu and Victor Sheng. Meta-optimized Contrastive Learning for Sequential Recommendation, In Proceedings of 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023). July 23-27, 2023. Taipei, China. (CCF Rank A)

Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu and Victor S Sheng. Frequency Enhanced Hybrid Attention Network for Sequential Recommendation, In Proceedings of 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023). July 23-27, 2023. Taipei, China. (CCF Rank A)

Yongjing Hao, Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor Sheng, Jiajie Xu, Guanfeng Liu, Xiaofang Zhou. Feature-level Deeper Self-Attention Network with Contrastive Learning for Sequential Recommendation, IEEE Transactions on Knowledge and Data Engineering (TKDE), Accepted in February 2023.(CCF Rank A)

Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou. Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation, In Proceedings of 39th International Conference on Data Engineering (ICDE 2023). April 3-7, 2023. California, USA. (CCF Rank A)

Yufeng Zhang, Weiqing Wang, Hongzhi Yin, Pengpeng Zhao, Wei Chen, Lei Zhao. Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction, In Proceedings of 39th International Conference on Data Engineering (ICDE 2023). April 3-7, 2023. California, USA. (CCF Rank A)

Yunyi Li, Yongjing Hao, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou. Edge-Enhanced Global Disentangled Graph Neural Network for Sequential Recommendation. ACM Transactions on Knowledge Discovery from Data(TKDD), 2023. (CCF Rank B)

Yongjing Hao, Jun Ma, Pengpeng Zhao, Guanfeng Liu, Xuefeng Xian, Lei Zhao, Victor S. Sheng. Multi-dimensional Graph Neural Network for Sequential Recommendation. Pattern Recognition (PR), 2023. (CCF Rank B, SCI, 中科院一区)

Yaxing Fang, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao, Xiaofang Zhou. Quaternion-Based Graph Convolution Network for Recommendation. World Wide Web Journal(WWWJ), 2023. (CCF Rank B)

Pu Wang, Jianjiang Lu, Wei Chen, Pengpeng Zhao, Lei Zhao. Spatio-Temporal Location Recommendation for Urban Facility Placement via Graph Convolutional and Recurrent Networks. Journal of Computer Science and Technology(JCST), 2023. (CCF Rank B)

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) , 34(5): 2512-2524, 2022 (CCF Rank A, ESI高被引论文)

Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao. Contrastive Learning with Bidirectional Transformers for Sequential Recommendation. CIKM 2022: 396-405 (CCF Rank B)

Chunhui Feng, Zhicheng Pan, Junhua Fang, Jiajie Xu, Pengpeng Zhao, Lei Zhao. Aries: Accurate Metric-based Representation Learning for Fast Top-k Trajectory Similarity Query. CIKM 2022: 499-508 (CCF Rank B)

Jiaan Wang, Beiqi Zou, Zhixu Li, Jianfeng Qu, Pengpeng Zhao, An Liu, Lei Zhao. Incorporating Commonsense Knowledge into Story Ending Generation via Heterogeneous Graph Networks. DASFAA 2022: 85-100 (CCF Rank B)

Pengfei Li, Junhua Fang, Pingfu Chao, Pengpeng Zhao, An Liu, Lei Zhao. JS-STDGN: A Spatial-Temporal Dynamic Graph Network Using JS-Graph for Traffic Prediction. DASFAA 2022: 191-206 (CCF Rank B)

Jiachun Tao, Zhicheng Pan, Junhua Fang, Pingfu Chao, Pengpeng Zhao, Jiajie Xu. Misty: Microservice-Based Streaming Trajectory Similarity Search. ICSOC 2022: 155-170 (CCF Rank B)

Huiwang Zhang, Pengpeng Zhao, Xuefeng Xian, Victor S. Sheng, Yongjing Hao, Zhiming Cui. Click is Not Equal to Purchase: Multi-task Reinforcement Learning for Multi-behavior Recommendation. the 23rd International Conference on Web Information System Engineering (WISE 2022), November 1-3, Biarritz, France (CCF Rank C, Best Paper Award)

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), 33(4): 1708-1721, 2021 (CCF Rank A)

Huimin Sun, Jiajie Xu, Kai Zheng, Pengpeng Zhao, Pingfu Chao, Xiaofang Zhou. MFNP: A Meta-optimized Model for Few-shot Next POI Recommendation, the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), 21st -26th August, 2021. Montreal-themed Virtual Reality. (CCF Rank A)

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)

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)

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)

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)

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)

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)

Tianlu Yan, Wei Chen, Pengpeng Zhao, Zhixu Li, An Liu, Lei Zhao: Handling conditional queries and data storage on Hyperledger Fabric efficiently. World Wide Web 24(1): 441-461 (2021) (SCI, CCF Rank B)

Fucheng Wang, Jiajie Xu, Chengfei Liu, Rui Zhou, Pengpeng Zhao: On prediction of traffic flows in smart cities: a multitask deep learning based approach. World Wide Web 24(3): 805-823 (2021) (SCI, CCF Rank B)

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)

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)

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)

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)

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)

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)

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)

Fucheng Wang, Jiajie Xu, Chengfei Liu, Rui Zhou, Pengpeng Zhao: MTGCN: A Multitask Deep Learning Model for Traffic Flow Prediction. DASFAA (1) 2020: 435-451 (CCF Rank B)

Jia Chen, Binbin Gu, Zhixu Li, Pengpeng Zhao, An Liu, Lei Zhao: SAEA: Self-Attentive Heterogeneous Sequence Learning Model for Entity Alignment. DASFAA (1) 2020: 452-467 (CCF Rank B)

Jia Chen, Zhixu Li, Pengpeng Zhao, An Liu, Lei Zhao, Zhigang Chen, Xiangliang Zhang: Learning Short-Term Differences and Long-Term Dependencies for Entity Alignment. ISWC (1) 2020: 92-109 (CCF Rank B)

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)

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)

Yiting Wang, Jie Shen, Zhixu Li, Qiang Yang, An Liu, Pengpeng Zhao, Jiajie Xu, Lei Zhao, Xunjie Yang: Enriching Context Information for Entity Linking with Web Data. J. Comput. Sci. Technol. 35(4): 724-738 (2020) (SCI, CCF Rank B)

Ying Li, Jiajie Xu, Pengpeng Zhao, Junhua Fang, Wei Chen, Lei Zhao: ATLRec: An Attentional Adversarial Transfer Learning Network for Cross-Domain Recommendation. J. Comput. Sci. Technol. 35(4): 794-808 (2020) (SCI, CCF Rank B)

Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, Chang Tan, Qing He: Exploiting bi-directional global transition patterns and personal preferences for missing POI category identification. Neural Networks 132: 75-83 (2020) (SCI, CCF Rank B)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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).

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)

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)

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)

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

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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

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

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

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

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

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

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

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)

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)

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

Research Projects

PI: Large-Scale Distributed Data and Knowledge Hub Scheduling Mechanisms. National Key Research and Development Program, 2024/01-2028/12.

PI: Model Interpretable Recommendation Based on Neuro-Symbolic Reasoning. NSFC General Project, 2024/01-2027/12.

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: Big Data Innovation Center，Cooperation with 江苏亿友慧云软件股份有限公司

PI: Digital Electronical Safety Protection Technical Innovation Center，Cooperation with 江苏通领科技有限公司

PI: Research on Driving Behavior Analysis，Cooperation with 神行太保苏州有限公司

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

Phd. Student Supervision

Huanhuan Yuan (started in September, 2022)

Hao Cang (started in September, 2024)

Wangyu Jin (started in September, 2025)

Dali Wu (started in September, 2025)

Master Student Supervision

Feng Liu (started in September, 2023)

Zikang Dong (started in September, 2023)

Lindong Li (started in September, 2023)

Xiaotao Wu (started in September, 2024)

Zhiwei Li (started in September, 2024)

Huayang Xu (started in September, 2024)

Zeyu Li (started in September, 2024)

Tingrui Zhang (started in September, 2024)

Xingrui Gong (started in September, 2024)

Shuai Zhou (started in September, 2024)

Zican Yang (started in September, 2025)

Songkai Mao (started in September, 2025)

Jiansheng Qian (started in September, 2025)

Cong He (started in September, 2025)

Lin Wan (started in September, 2025)

Yang Xue (started in September, 2025)

Fan Hu (started in September, 2025)

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 美团点评

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

Xiaojie Chen, Master student (Graduated in June 2019), Now at 蚂蚁金服

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

Yanghong Wu (started in September, 2021)，Now at 中行

Ma Jun (started in September, 2021)，Now at 字节跳动

Zhao Jing (started in September, 2021)，Now at 农行

Anjing Luo (started in September, 2021)，Now at 浙商行

Jiacheng Ni (started in September, 2021)，Now at 建行

Feng Jian (started in September, 2021， Co-supervised with Prof. Charles Ling)，Now at 中移苏州研发中心

XingWei Zhu (started in September, 2021， Co-supervised with Prof. Charles Ling)，Now at VIVO

Chunyu Pan (started in September, 2021， Co-supervised with Prof. Charles Ling)，Now at 浦发

Haoran Yan (started in September, 2021， Co-supervised with Prof. Charles Ling)，Now at 中移苏州研发中心

Qianqian Wu (started in September, 2021， Co-supervised with Prof. Charles Ling)，Now at 成都海光

Yunyi Li (started in September, 2019), Now at 山石

Shenghao Zheng (started in September, 2019), Now at 阿里巴巴

Yepeng Li (started in September, 2019), Now at 农行

Xintao Tian (started in September, 2019), Now at 安全局

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

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

Hui Shi (started in September, 2020), Now at 移动

Huiwang Zhang (started in September, 2020), Now at 北京博乐

Tao Jiang (started in September, 2020), Now at 曙光

Mingyuan Huang (started in September, 2020), Now at 特斯拉

Yaxing Fang (started in September, 2020), Now at 农行

Chao Long (started in September, 2021), Now at 阿里

Tongyu Wu (started in September, 2021)，Now at 恒生电子

Xinyu Du (started in September, 2021)，Now at 阿里

Lei Shan (started in September, 2021)，Now at 山石

Chuanjiu Wu (started in September, 2021)，Now at 中建

Xiuyuan Qin (started in September, 2021)，Now at 好未来

Yongjing Hao Ph.D. (started in September, 2020)，Now at 苏州科技大学

Xingying Tong (started in September, 2022)，Now at 江苏银行

Xinru Liu (started in September, 2022)，Now at 平安

Xinyu Qian (started in September, 2022)，Now at 中行

Shengfeng Lin (started in September, 2022)，Now at 腾讯

Chenxu Li (started in September, 2022)，Now at 江苏银行