Publication
My supervised students
My supervised students
Bangchao Deng, Ling Ding, Lianhua Ji, Chunhua Chen, Xin Jing, Bingqing Qu, Dingqi Yang*, Marionette: Fine-Grained Conditional Generative Modeling of Spatiotemporal Human Trajectory Data Beyond Imitation, In Proc. of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'25), Aug. 2025, Toronto, Canada. [PDF] [CODE]
Bangchao Deng, Xin Jing, Tianyue Yang, Bingqing Qu, Dingqi Yang*, Philippe Cudre-Mauroux, Revisiting Synthetic Human Trajectories: Imitative Generation and Benchmarks Beyond Datasaurus, In Proc. of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'25), Aug. 2025, Toronto, Canada. [PDF] [CODE]
Yuhuan Lu, Weijian Yu, Xin Jing, Dingqi Yang*, HyperFM: Fact-Centric Multimodal Fusion for Link Prediction over Hyper-Relational Knowledge Graphs. In Proc. of the Association of Computational Linguistics (ACL'25), Aug. 2025, Vienna, Austria. [PDF] [CODE]
Bangchao Deng, Bingqing Qu, Pengyang Wang, Dingqi Yang*, Benjamin Fankhauser, and Philippe Cudre-Mauroux, REPLAY: Modeling Time-Varying Temporal Regularities of Human Mobility for Location Prediction over Sparse Trajectories, IEEE Transactions on Mobile Computing (TMC), 2025. [PDF] [CODE]
Xin Jing, Yichen Jing, Yuhuan Lu, Bangchao Deng, Xueqin Chen, Dingqi Yang*, CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models. In Proc. of the AAAI Conference on Artificial Intelligence (AAAI'25) Feb 2025, Philadelphia, USA. [PDF] [CODE]
Xin Jing, Yichen Jing, Yuhuan Lu, Bangchao Deng, Sikun Yang, Dingqi Yang*, On Your Mark, Get Set, Predict! Modeling Continuous-Time Dynamics of Cascades for Information Popularity Prediction, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025. [PDF] [CODE]
Guofeng Luo, Junxiang Ji, Yongyi Wu, Ruixiang Luo, Jiaru Wang, Lijuan Weng, Zhuohan Ye, Chenhui Lu, Dingqi Yang, Wang, Cheng, Longbiao Chen. UVX-ray: Urban Village Safety Risk Diagnosis Leveraging Multi-Source Urban Data. In Proc. of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 9, no. 2 (2025): 1-23.
Liang Wang, Shan Su, Rongchang Cheng, Dingqi Yang, Lianbo Ma, Fei Xiong, Bin Guo, and Zhiwen Yu. Balancing Cooperation and Competition: Selfish Worker Coalition Formation in Spatial Crowdsourcing. ACM Transactions on Intelligent Systems and Technology (TIST), 2025.
Yigao Wang, Qingxian Tang, Wenxuan Wei, Chenhui Yang, Dingqi Yang, Cheng Wang, Liang Xu, and Longbiao Chen. CrowdRadar: a mobile crowdsensing framework for urban traffic green travel safety risk assessment. Frontiers in Big Data 8 (2025): 1440816.
Chunhua Chen, Yuxin Yang, Hao Yuan, Longbiao Chen, Leye Wang, Bingqing Qu, Dingqi Yang*, Animating the Crowd Mirage: A WiFi-Positioning-Based Crowd Mobility Digital Twin for Smart Campuses. In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 8, no. 4 (2024): 1-32. [PDF] [VIDEO]
Yuhuan Lu, Weijian Yu, Xin Jing, Dingqi Yang*, HyperCL: A Contrastive Learning Framework for Hyper-Relational Knowledge Graph Embedding with Hierarchical Ontology. In Findings of the Association of Computational Linguistics (ACL'24), Aug. 2024, Bangkok. [PDF] [CODE]
Weijian Yu, Jie Yang, Dingqi Yang*, Robust Link Prediction over Noisy Hyper-Relational Knowledge Graphs via Active Learning, In Proc. of ACM Web Conference (WWW'24), May. 2024, Singapore. [PDF] [CODE]
Zhaofan Zhang, Yanan Xiao, Lu Jiang, Dingqi Yang, Minghao Yin, Pengyang Wang. Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation, In Proc. of the AAAI Conference on Artificial Intelligence (AAAI'24), Feb. 2024, Vancouver, Canada. [PDF]
Shiyao Zhao, Zhu Wang, Dingqi Yang*, Xuejing Li, Bin Guo, Zhiwen Yu, ProtoRectifier: A Prototype Rectification Framework for Efficient Cross-Domain Text Classification with Limited Labeled Samples, In Proc. of the International AAAI Conference on Web and Social Media (ICWSM'24), June 2024, Buffalo, USA. [PDF]
Yicheng Zhou, Pengfei Wang, Hao Dong, Denghui Zhang, Dingqi Yang, Yanjie Fu, Pengyang Wang. Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction". The 33rd International Joint Conference on Artificial Intelligence (IJCAI'24), Aug. 2024, Jeju, South Korea.
Yufei Wang, Wenting Zeng, Changzhen Liu, Zhuohan Ye, Jiawei Sun, Junxiang Ji, Zhihan Jiang, Xianyi Yan, Yongyi Wu, Yigao Wang, Dingqi Yang, Leye Wang, Daqing Zhang, Cheng Wang, Longbiao Chen. CrowdBot: An Open-Environment Robot Management System for On-Campus Services. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 8(2), pp.1-27.
Xianwei Guo, Zhiyong Yu, Fangwan Huang, Xing Chen, Dingqi Yang, and Jiangtao Wang. Dynamic meta-graph convolutional recurrent network for heterogeneous spatiotemporal graph forecasting. Neural Networks (2024): 106805.
Yuhuan Lu, Dingqi Yang*, Pengyang Wang, Paolo Rosso, Philippe Cudre-Mauroux, Schema-Aware Hyper-Relational Knowledge Graph Embeddings for Link Prediction, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023. [PDF] [CODE]
Yuhuan Lu, Bangchao Deng, Weijian Yu, Dingqi Yang*, HELIOS: Hyper-Relational Schema Modeling from Knowledge Graphs, In Proc. of ACM International Conference on Multimedia (MM'23), Oct. 2023, Ottawa. [PDF] [CODE]
Bangchao Deng, Dingqi Yang*, Bingqing Qu, Benjamin Fankhauser, Philippe Cudre-Mauroux, Robust Location Prediction over Sparse Spatiotemporal Trajectory Data: Flashback to the Right Moment! ACM Transactions on Intelligent Systems and Technology (TIST), 2023. [PDF] [CODE]
Dingqi Yang, Bingqing Qu, Paolo Rosso, and Philippe Cudre-Mauroux, Fast and Slow Thinking: A Two-Step Schema-Aware Approach for Instance Completion in Knowledge Graphs, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023. [PDF] [CODE]
Dingqi Yang, Bingqing Qu, Rana Hussein, Paolo Rosso, Philippe Cudre-Mauroux, and Jie Liu, Revisiting Embedding Based Graph Analyses: Hyperparameters Matter! IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023. [PDF] [CODE]
Alessia Antelmi, Gennaro Cordasco, Mirko Polato, Vittorio Scarano, Carmine Spagnuolo, Dingqi Yang, A Survey on Hypergraph Representation Learning, ACM Computing Surveys (CSUR), 2023. [PDF]
Pengpeng Chen, Yongqiang Yang, Dingqi Yang, Hailong Sun, Zhijun Chen, Peng Lin, Black-Box Data Poisoning Attacks on Crowdsourcing, In Proc. of the 32th International Joint Conference on Artificial Intelligence (IJCAI '23), Aug., 2023, Macau SAR. [PDF]
Shou, Tieqi, Zhuohan Ye, Yayao Hong, Zhiyuan Wang, Hang Zhu, Zhihan Jiang, Dingqi Yang, Binbin Zhou, Cheng Wang, and Longbiao Chen. "CrowdQ: Predicting the Queue State of Hospital Emergency Department Using Crowdsensing Mobility Data-Driven Models." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 7, no. 3 (2023): 1-28.
Xianwei Guo, Fangwan Huang, Dingqi Yang, Chunyu Tu, Zhiyong Yu, Wenzhong Guo, Spatiotemporal Fracture Data Inference in Sparse Mobile Crowdsensing: A Graph- and Attention-based Approach, IEEE/ACM Transactions on Networking (TON), 2023
Dingqi Yang, Bingqing Qu, Jie Yang, Liang Wang, Philippe Cudre-Mauroux, Streaming Graph Embeddings via Incremental Neighborhood Sketching, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022. [PDF] [CODE]
Liang Wang, Dingqi Yang, Zhiwen Yu, Fei Xiong, Lei Han, Shirui Pan and Bin Guo. Task Scheduling in Three-Dimensional Spatial Crowdsourcing: A Social Welfare Perspective, IEEE Transactions on Mobile Computing (TMC), 2022.
Alisa Smirnova, Jie Yang, Dingqi Yang and Philippe Cudre-Mauroux, Nessy: a Neuro-Symbolic System for Label Noise Reduction, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022.
Shiyu Zhang, Bangchao Deng, Dingqi Yang*, CrowdTelescope: Wi-Fi-Positioning-Based Multi-Grained Spatiotemporal Crowd Flow Prediction for Smart Campus, CCF Transactions on Pervasive Computing and Interaction (TPCI), 2022. [Demo] [PDF]
Liang Wang, Zhiwen Yu, Kaishun Wu, Dingqi Yang, En Wang, Tian Wang, and Bin Guo, Towards Robust Task Assignment in Mobile Crowdsensing Systems, IEEE Transactions on Mobile Computing (TMC), 2022.
Liang Wang, Zhiwen Yu, Bin Guo, Dingqi Yang, Lianbo Ma, Zhidan Liu, and Fei Xiong. Data-driven Targeted Advertising Recommendation System for Outdoor Billboard. ACM Transactions on Intelligent Systems and Technology (TIST) 13, no. 2 (2022): 1-23.
Tieqi Shou, Zhiyuan Wang, Shang Shi, Dingqi Yang, Binbin Zhou, Cheng Wang, Longbiao Chen, Modeling Crowdedness of Emergency Departments Leveraging Crowdsensing Mobility Data. In Proc. of the 19th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC'22), Dec. 2022.
Paolo Rosso, Dingqi Yang*, Philippe Cudre-Mauroux, RETA: A Schema-Aware, End-to-End Solution for Instance Completion in Knowledge Graphs, In Proc. of The Web Conference (WWW'21). April 2021, Ljubljana. [PDF] [CODE]
Liang Wang, Dingqi Yang, Zhiwen Yu, Qi Han, En Wang, Kuang Zhou, Bin Guo. Acceptance-Aware Mobile Crowdsourcing Worker Recruitment in Social Networks, IEEE Transactions on Mobile Computing (TMC), 2021. [PDF]
Liang Wang, Zhiwen Yu, Dingqi Yang, Tian Wang, En Wang, Bin Guo, Daqing Zhang. Task Execution Quality Maximization for Mobile Crowdsourcing in Geo-Social Networks, The 24th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW'21), Oct. 2021.
Zhenyu Zhang, Lei Zhang, Dingqi Yang, Liu Yang, KRAN: Knowledge Refining Attention Network for Recommendation, ACM Transactions on Knowledge Discovery from Data (TKDD).
Longbiao Chen, Zhihan Jiang, Dingqi Yang, Cheng Wang, Thi-Mai-Trang Nguyen. Fog radio access network optimization for 5G leveraging user mobility and traffic data. Journal of Network and Computer Applications (JNCA). [PDF]
Dingqi Yang, Bingqing Qu, Philippe Cudre-Mauroux, Location-Centric Social Media Analytics: Challenges and Opportunities for Smart Cities, IEEE Intelligent Systems, 2020. [PDF]
Dingqi Yang, Bingqing Qu, Jie Yang, Philippe Cudre-Mauroux, LBSN2Vec++: Heterogeneous Hypergraph Embedding for Location-Based Social Networks, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020. [PDF] [CODE]
Dingqi Yang , Benjamin Fankhauser, Paolo Rosso, Philippe Cudre-Mauroux, Location Prediction over Sparse User Mobility Traces using RNNs: Flashback in Hidden States! In Proc. of the International Joint Conference on Artificial Intelligence (IJCAI'20). July 2020, Japan. [PDF] [CODE] [VIDEO]
Paolo Rosso, Dingqi Yang*, Philippe Cudre-Mauroux, Beyond Triplets: Hyper-Relational Knowledge Graph Embedding for Link Prediction, In Proc. of The Web Conference (WWW'20). April 2020, Taipei. [PDF] [CODE]
Leye Wang, Daqing Zhang, Dingqi Yang, Brian Y. Lim, Xiao Han, Xiaojuan Ma, Sparse Mobile Crowdsensing with Differential and Distortion Location Privacy, IEEE Transactions on Information Forensics and Security (TIFS), 15, 2735-2749, 2020
Liang Wang, Zhiwen Yu, Dingqi Yang, Huadong Ma, Hao Sheng, Efficiently Targeted Billboard Advertising Using Crowdsensing Vehicle Trajectory Data, IEEE Transactions on Industrial Informatics (TII), 16(2), 1058-1066, 2020. [PDF]
Longbiao Chen, Thi-Mai-Trang Nguyen, Dingqi Yang, Michele Nogueira, Cheng Wang, Daqing Zhang, Data-Driven C-RAN Optimization Exploiting Traffic and Mobility Dynamics of Mobile Users, IEEE Transactions on Mobile Computing (TMC), 2020.
Liang Wang, Zhiwen Yu, Qi Han, Dingqi Yang, Shirui Pan, Yuan Yao, Daqing Zhang. Compact Scheduling for Task Graph Oriented Mobile Crowdsourcing. IEEE Transactions on Mobile Computing (TMC), 2020. [PDF]
Dingqi Yang, Paolo Rosso, Bin Li, Philippe Cudre-Mauroux, NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching, In Proc. of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'19), Anchorage, Alaska, USA. [PDF] [CODE] [VIDEO]
Dingqi Yang, Bingqing Qu, Jie Yang, Philippe Cudre-Mauroux, Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach, In Proc. of The Web Conference (WWW'19). May. 2019, San Francisco, USA. [PDF] [CODE]
Dingqi Yang, Bin Li, Rettig Laura, Philippe Cudré-Mauroux, D2HistoSketch: Discriminative and Dynamic Similarity-Preserving Sketching of Streaming Histograms, IEEE Transactions on Knowledge and Data Engineering (TKDE) 31(10), 1898-1911, 2019 [PDF] [CODE]
Dingqi Yang, Bingqing Qu, Philippe Cudré-Mauroux, Privacy-Preserving Social Media Data Publishing for Personalized Ranking-Based Recommendation, IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(3), 507-520, 2019 [PDF]
Leye Wang, Dingqi Yang, Xiao Han, Daqing Zhang, Xiaojuan Ma, Mobile Crowdsourcing Task Allocation with Differential-and-Distortion Geo-Obfuscation, IEEE Transactions on Dependable and Secure Computing (TDSC), 2019. [PDF]
Jie Yang, Alisa Smirnova, Dingqi Yang, Gianluca Demartini, Yuan Lu, Philippe Cudre-Mauroux, Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data, In Proc. of The Web Conference (WWW'19). May. 2019, San Francisco, USA. [PDF]
Liang Wang, Zhiwen Yu, Dingqi Yang, Tao Ku, Bin Guo, Huadong Ma, Collaborative Mobile Crowdsensing in Opportunistic D2D Networks: A Graph-Based Approach, IEEE Transactions on Sensor Networks (TOSN) 15(3), 30, 2019.
Liang Wang, Zhiwen Yu, Fei Xiong, Dingqi Yang, Shirui Pan, Zheng Yan, Influence Spread in Geo-Social Networks: A Multi-Objective Optimization Perspective, IEEE Transactions on Cybernetics (ToC) 2019 [PDF]
Paolo Rosso, Dingqi Yang*, and Philippe Cudré-Mauroux, Revisiting Text and Knowledge Graph Joint Embeddings: The Amount of Shared Information Matters! In Proc. of 2019 IEEE International Conference on Big Data (BigData'19), Los Angeles, USA, 2019. [PDF]
Artem Lutov, Dingqi Yang, and Philippe Cudré-Mauroux, Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection. In Proc. of 2019 IEEE International Conference on Big Data (BigData'19), Los Angeles, USA, 2019. [PDF]
Dingqi Yang, Terence Heaney, Alberto Tonon, Leye Wang, Philippe Cudré-Mauroux, CrimeTelescope: Crime Hotspot Prediction based on Urban and Social Media Data Fusion, World Wide Web Journal (WWWJ), 21(5), 1323-1347, 2018. [PDF] [Demo].
Rana Hussein, Dingqi Yang*, Philippe Cudre-Mauroux, Are Meta-Paths Necessary? Revisiting Heterogeneous Graph Embeddings, In Proc. of the ACM Conference on Information and Knowledge Management (CIKM'18). Oct. 2018, Torino, Italy. [PDF] [CODE]
Paolo Rosso, Dingqi Yang*, Philippe Cudré-Mauroux, Knowledge graph embeddings, Encyclopedia of Big Data Technologies.
Longbiao Chen, Dingqi Yang, Daqing Zhang, Cheng Wang, Jonathan Li, Thi-Mai-Trang Nguyen, Deep mobile traffic forecast and complementary base station clustering for C-RAN optimization, Journal of Network and Computer Applications (JNCA),121, 59-69, 2018 [PDF]
Leye Wang, Gehua Qin, Dingqi Yang, Xiao Han, Xiaojuan Ma, Geographic Differential Privacy for Mobile Crowd Coverage Maximization, In Proc. of the AAAI Conference on Artificial Intelligence (AAAI'18), Feb. 2018, New Orleans, USA. [PDF]
Leye Wang, Daqing Zhang, Dingqi Yang, Animesh Pathak, Chao Chen, Xiao Han, Haoyi Xiong, and Yasha Wang, SPACE-TA: Cost-Effective Task Allocation Exploiting Intra- and Inter-Data Correlations in Sparse Crowdsensing, ACM Transactions on Intelligent Systems and Technology (TIST), 9(2), 20, 2018 [PDF]
Dingqi Yang, Bin Li, Laura Rettig, Philippe Cudré-Mauroux, HistoSketch: Fast Similarity-Preserving Sketching of Streaming Histograms with Concept Drift, In Proc. of the IEEE International Conference on Data Mining (ICDM'17), Nov. 2017, New Orleans, USA. [PDF] [CODE]
Leye Wang, Dingqi Yang, Xiao Han, Tianben Wang, Daqing Zhang, Xiaojuan Ma, Location Privacy-Preserving Task Allocation for Mobile Crowdsensing with Differential Geo-Obfuscation, In Proc. of the 26th International World Wide Web Conference (WWW'17), April 2017, Perth, Australia. [PDF]
Longbiao Chen, Jérémie Jakubowicz, Dingqi Yang, Gang Pan, Daqing Zhang. Fine-Grained Urban Event Detection and Characterization Based on Tensor Co-Factorization, IEEE Trans. on Human-Machine Systems (THMS), 47(3), 380-391, 2017.
Renjie Fan, Zhiwen Yu, Bin Guo, Liang Wang and Dingqi Yang, Target Distribution Guided Network Sampling, in Proc. of the 5th International Conference on Advanced Cloud and Big Data (CBD), Aug. 2017, Shanghai, China.
Dingqi Yang, Daqing Zhang, Bingqing Qu, Philippe Cudré-Mauroux. PrivCheck: Privacy-Preserving Check-in Data Publishing for Personalized Location Based Services. In Proc. of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'16), September, 2016, Heidelberg, Germany. [PDF]
Dingqi Yang, Bin Li, Philippe Cudré-Mauroux. POIsketch: Semantic Place Labeling over User Activity Streams. In Proc. of the 25th International Joint Conference on Artificial Intelligence (IJCAI '16), July, 2016, NYC, USA. [PDF]
Dingqi Yang, Daqing Zhang, Bingqing Qu. Participatory Cultural Mapping Based on Collective Behavior Data in Location Based Social Networks. ACM Trans. on Intelligent Systems and Technology (TIST), 7(3): 30, 2016. [PDF] [Dataset]
Longbiao Chen, Daqing Zhang, Leye Wang, Dingqi Yang, et. al. Dynamic Cluster-Based Over-Demand Prediction in Bike Sharing Systems. In Proc. of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'16), September, 2016, Heidelberg, Germany. (Honorable Mention Award) [PDF]
Leye Wang, Daqing Zhang, Dingqi Yang, Brian Y. Lim and Xiaojuan Ma, Differential Location Privacy for Sparse Mobile Crowdsensing, In Proc. of the IEEE International Conference on Data Mining (ICDM'16), December 2016, Barcelona, Spain. [PDF]
Dingqi Yang, Daqing Zhang, Longbiao Chen, Bingqing Qu. NationTelescope: Monitoring and Visualizing Large-Scale Collective Behavior in LBSNs. Journal of Network and Computer Applications (JNCA), 55:170-180, 2015. [PDF] [Dataset]
Dingqi Yang, Daqing Zhang, Vincent W. Zheng, Zhiyong Yu. Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs. IEEE Trans. on Systems, Man, and Cybernetics: Systems (TSMC), 45(1): 129-142, 2015. [PDF] [Dataset]
Zhiyong Yu, Daqing Zhang, Zhiwen Yu, Dingqi Yang. Participant Selection for Offline Event Marketing Leveraging Location Based Social Networks. IEEE Trans. on Systems, Man, and Cybernetics: Systems (TSMC), 45(6): 853-864, (2015). [PDF]
Longbiao Chen, Dingqi Yang, Jérémie Jakubowicz, et. al. Sensing the Pulse of Urban Activity Centers Leveraging Bike Sharing Open Data. In Proc. of the 12th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC'15), August, 2015, Beijing, China. [PDF]
Leye Wang, Daqing Zhang, Animesh Pathak, Chao Chen, Haoyi Xiong, Dingqi Yang and Yasha Wang. CCS-TA: Quality-Guaranteed Online Task Allocation in Compressive Crowdsensing. In Proc. of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'15), September, 2015, Osaka, Japan.
Longbiao Chen, Daqing Zhang, Gang Pan, Xiaojuan Ma, Dingqi Yang, et. al. Bike-Share Station Placement Leveraging Heterogeneous Urban Open Data. In Proc. of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'15), September, 2015, Osaka, Japan. (Honorable Mention Award)
Nizar Kheir, Gregory Blanc, Hervé Debar, Joaquin Garcia-Alfaro and Dingqi Yang. Automated Classification of C&C Connections through Malware URL Clustering, In Proc. of the 30th IFIP International Information Security and Privacy Conference (SEC'15), May 2015, Hamburg, Germany. [PDF]
Dingqi Yang, Daqing Zhang, Zhiyong Yu, Zhiwen Yu, Djamal Zeghlache. SESAME: Mining User Digital Footprints for Fine-Grained Preference-Aware Social Media Search. ACM Trans. on Internet Technology (TOIT), 14(4): 28, 2014. [PDF] [Dataset]
Dingqi Yang, Daqing Zhang, Korbinian Frank, Patrick Robertson, Edel Jennings, Mark Roddy, Michael Lichtenstern. Providing Real-Time Assistance in Disaster Relief by Leveraging Crowdsourcing Power, Springer/ACM Journal of Personal and Ubiquitous Computing (PUC), 18(8): 2025-2034, 2014. [PDF]
Bin Guo, Daqing Zhang, Dingqi Yang, Zhiwen Yu, Xingshe Zhou. Enhancing Memory Recall via an Intelligent Social Contact Management System, IEEE Trans. on Human-Machine Systems (THMS), 44(1): 78-91 2014. [PDF]
Zhu Wang, Daqing Zhang, Xingshe Zhou, Dingqi Yang, Zhiyong Yu, Zhiwen Yu. Discovering and Profiling Overlapping Communities in Location Based Social Networks. IEEE Trans. on Systems, Man, and Cybernetics: Systems (TSMC), 44(4): 499-509, 2014. [PDF]
Zhu Wang, Xingshe Zhou, Daqing Zhang, Dingqi Yang, Zhiyong Yu, Cross-Domain Community Detection in Heterogeneous Social Networks. Springer/ACM Journal of Personal and Ubiquitous Computing (PUC), 18(2): 369-383, 2013. [PDF]
Dingqi Yang, Daqing Zhang, Zhiyong Yu and Zhiwen Yu, Fine-Grained Preference-Aware Location Search Leveraging Crowdsourced Digital Footprints from LBSNs. In Proc. of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'13), September 2013, Zurich, Switzerland. [PDF] [Dataset]
Dingqi Yang, Daqing Zhang, Zhiyong Yu and Zhu Wang, A Sentiment-enhanced Personalized Location Recommendation System. In Proc. of the 24th ACM Conference on Hypertext and Social Media (HT'13), May 2013, Paris, France. [PDF] [Dataset]
Zhiyong Yu, Daqing Zhang, Dingqi Yang, Where is the Largest Market: Ranking Areas by Popularity from Location Based Social Networks. In Proc. of the 10th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC'13), December 2013, Vietri sul Mare, Italy. [PDF]
Zhu Wang, Daqing Zhang, Dingqi Yang, Zhiyong Yu and Xingshe Zhou, Detecting Overlapping Communities in Location-Based Social Networks. In Proc. of the 4th International Conference on Social Informatics (SocInfo'12), December 2012, Lausanne, Switzerland. [PDF]
Zhiyong Yu, Daqing Zhang, Dingqi Yang, Guolong Chen. Selecting the Best Solvers: Toward Community based Crowdsourcing for Disaster Management. In Proc. of the 2012 IEEE Asia-Pacific Services Computing Conference (APSCC'12), December 2012, Guilin, China.
Zhu Wang, Daqing Zhang, Dingqi Yang, Zhiyong Yu, Xingshe Zhou, and Zhiwen Yu. Investigating City Characteristics based on Community Profiling in LBSNs, In Proc. of the 2nd International Conference on Social Computing and its Applications (SCA'12), Xiangtan, China
Dingqi Yang, Bin Guo, Daqing Zhang, Better Organizing Your Contacts: An Empirical Study of an Intelligent Social Contact Management System, In Proc. of the 4th IEEE International Conference on Cyber, Physical and Social Computing (CPSCom'11) [PDF]
Bin Guo, Daqing Zhang, Dingqi Yang, 'Read' More from Business Cards: Toward a Smart Social Contact Management System, In Proc. of the 10th IEEE/WIC/ACM International Conference on Web Intelligence (WI'11), August 2011, Lyon, France, [PDF]
Dingqi Yang, Mohamed Abid, Songbo Song, Implementation of IMS-IBC Service Authentication Platform, Research Report N°10003 RS2M (ISSN 1968-505X), Feb. 2010. [PDF]