| 2026 | AAAI | Explicit Intent-Enhanced Knowledge Distillation for Trip Recommendation. | Shuliang Wang, Xiaoting Leng, Sijie Ruan, Dingqi Yang, Yicheng Tang, Qianyu Yang, Qianxiong Xu, Jiabao Zhu, Hanning Yuan |
| 2026 | WWW | Modeling Multimodal Information Cascade on Social Media with Interpretable Mixture of Experts. | Xin Jing, Zeyu Shi, Zhangtao Cheng, Yichen Jing, Yuhuan Lu, Bangchao Deng, Dingqi Yang |
| 2025 | AAAI | CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models. | Xin Jing, Yichen Jing, Yuhuan Lu, Bangchao Deng, Xueqin Chen, Dingqi Yang |
| 2025 | ACL | HyperFM: Fact-Centric Multimodal Fusion for Link Prediction over Hyper-Relational Knowledge Graphs. | Yuhuan Lu, Weijian Yu, Xin Jing, Dingqi Yang |
| 2025 | KDD | Marionette: Fine-Grained Conditional Generative Modeling of Spatiotemporal Human Trajectory Data Beyond Imitation. | Bangchao Deng, Ling Ding, Lianhua Ji, Chunhua Chen, Xin Jing, Bingqing Qu, Dingqi Yang |
| 2025 | KDD | Revisiting Synthetic Human Trajectories: Imitative Generation and Benchmarks Beyond Datasaurus. | Bangchao Deng, Xin Jing, Tianyue Yang, Bingqing Qu, Dingqi Yang, Philippe Cudr-Mauroux |
| 2024 | AAAI | Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation. | Zhaofan Zhang, Yanan Xiao, Lu Jiang, Dingqi Yang, Minghao Yin, Pengyang Wang |
| 2024 | ACL | HyperCL: A Contrastive Learning Framework for Hyper-Relational Knowledge Graph Embedding with Hierarchical Ontology. | Yuhuan Lu, Weijian Yu, Xin Jing, Dingqi Yang |
| 2024 | IJCAI | Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction. | Yicheng Zhou, Pengfei Wang, Hao Dong, Denghui Zhang, Dingqi Yang, Yanjie Fu, Pengyang Wang |
| 2024 | ICWSM | ProtoRectifier: A Prototype Rectification Framework for Efficient Cross-Domain Text Classification with Limited Labeled Samples. | Shiyao Zhao, Zhu Wang, Dingqi Yang, Xuejing Li, Bin Guo, Zhiwen Yu |
| 2024 | WWW | Robust Link Prediction over Noisy Hyper-Relational Knowledge Graphs via Active Learning. | Weijian Yu, Jie Yang, Dingqi Yang |
| 2023 | IJCAI | Black-Box Data Poisoning Attacks on Crowdsourcing. | Pengpeng Chen, Yongqiang Yang, Dingqi Yang, Hailong Sun, Zhijun Chen, Peng Lin |
| 2022 | UIC | Modeling Crowdedness of Emergency Departments Leveraging Crowdsensing Mobility Data. | Tieqi Shou, Zhiyuan Wang, Shang Shi, Dingqi Yang, Binbin Zhou, Cheng Wang, Longbiao Chen |
| 2021 | WWW | RETA: A Schema-Aware, End-to-End Solution for Instance Completion in Knowledge Graphs. | Paolo Rosso, Dingqi Yang, Natalia Ostapuk, Philippe Cudr-Mauroux |
| 2020 | IJCAI | Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States! | Dingqi Yang, Benjamin Fankhauser, Paolo Rosso, Philippe Cudr-Mauroux |
| 2020 | WWW | Beyond Triplets: Hyper-Relational Knowledge Graph Embedding for Link Prediction. | Paolo Rosso, Dingqi Yang, Philippe Cudr-Mauroux |
| 2019 | KDD | NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching. | Dingqi Yang, Paolo Rosso, Bin Li, Philippe Cudr-Mauroux |
| 2019 | WWW | Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach. | Dingqi Yang, Bingqing Qu, Jie Yang, Philippe Cudr-Mauroux |
| 2019 | WWW | Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data. | Jie Yang, Alisa Smirnova, Dingqi Yang, Gianluca Demartini, Yuan Lu, Philippe Cudr-Mauroux |
| 2018 | AAAI | Geographic Differential Privacy for Mobile Crowd Coverage Maximization. | Leye Wang, Gehua Qin, Dingqi Yang, Xiao Han, Xiaojuan Ma |
| 2018 | CIKM | Are Meta-Paths Necessary?: Revisiting Heterogeneous Graph Embeddings. | Rana Hussein, Dingqi Yang, Philippe Cudr-Mauroux |
| 2017 | ICDM | HistoSketch: Fast Similarity-Preserving Sketching of Streaming Histograms with Concept Drift. | Dingqi Yang, Bin Li, Laura Rettig, Philippe Cudr-Mauroux |
| 2017 | WWW | Location Privacy-Preserving Task Allocation for Mobile Crowdsensing with Differential Geo-Obfuscation. | Leye Wang, Dingqi Yang, Xiao Han, Tianben Wang, Daqing Zhang, Xiaojuan Ma |
| 2016 | ICDM | Differential Location Privacy for Sparse Mobile Crowdsensing. | Leye Wang, Daqing Zhang, Dingqi Yang, Brian Y. Lim, Xiaojuan Ma |
| 2016 | IJCAI | POISketch: Semantic Place Labeling over User Activity Streams. | Dingqi Yang, Bin Li, Philippe Cudr-Mauroux |
| 2015 | UIC | Sensing the Pulse of Urban Activity Centers Leveraging Bike Sharing Open Data. | Longbiao Chen, Dingqi Yang, Jrmie Jakubowicz, Gang Pan, Daqing Zhang, Shijian Li |
| 2015 | SEC | Automated Classification of C&C Connections Through Malware URL Clustering. | Nizar Kheir, Gregory Blanc, Herv Debar, Joaqun Garca-Alfaro, Dingqi Yang |
| 2013 | UIC | Where is the Largest Market: Ranking Areas by Popularity from Location Based Social Networks. | Zhiyong Yu, Daqing Zhang, Dingqi Yang |
| 2012 | APSCC | Selecting the Best Solvers: Toward Community Based Crowdsourcing for Disaster Management. | Zhiyong Yu, Daqing Zhang, Dingqi Yang, Guolong Chen |