| 2026 | ICDE | City-Wide Origin-Destination Matrix Generation via Cascaded Graph Denoising Diffusion. | Can Rong, Jingtao Ding, Zhicheng Liu, Peng Lu, Yong Li |
| 2026 | KDD | Generating Realistic Human Mobility Data with Hybrid Large Language Model Agent. | Chenyang Shao, Bingbing Fan, Jingtao Ding, Yuan Yuan, Meng Wang, Fengli Xu |
| 2025 | CIKM | Structure-prior Informed Diffusion Model for Graph Source Localization with Limited Data. | Hongyi Chen, Jingtao Ding, Xiaojun Liang, Yong Li, Xiao-Ping Zhang |
| 2025 | ICLR | A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation. | Can Rong, Jingtao Ding, Yan Liu, Yong Li |
| 2025 | ICLR | Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length. | Zihan Yu, Jingtao Ding, Yong Li, Depeng Jin |
| 2025 | IJCAI | Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction. | Zhi Sheng, Daisy Yuan, Jingtao Ding, Qi Yan, Xi Zheng, Yue Sun, Yong Li |
| 2025 | IJCAI | OpenCarbon: A Contrastive Learning-based Cross-Modality Neural Approach for High-Resolution Carbon Emission Prediction Using Open Data. | Jinwei Zeng, Yu Liu, Guozhen Zhang, Jingtao Ding, Yuming Lin, Jian Yuan, Yong Li |
| 2025 | WWW | Artificial Intelligence for Complex Network: Potential, Methodology and Application. | Jingtao Ding, Yu Zheng, Huandong Wang, Carlo Vittorio Cannistraci, Jianxi Gao, Yong Li, Chuan Shi |
| 2025 | WWW | Noise Matters: Diffusion Model-based Urban Mobility Generation with Collaborative Noise Priors. | Yuheng Zhang, Yuan Yuan, Jingtao Ding, Jian Yuan, Yong Li |
| 2024 | AAAI | Social Physics Informed Diffusion Model for Crowd Simulation. | Hongyi Chen, Jingtao Ding, Yong Li, Yue Wang, Xiao-Ping Zhang |
| 2024 | AAAI | Estimating On-Road Transportation Carbon Emissions from Open Data of Road Network and Origin-Destination Flow Data. | Jinwei Zeng, Yu Liu, Jingtao Ding, Jian Yuan, Yong Li |
| 2024 | ICLR | Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation. | Yuan Yuan, Chenyang Shao, Jingtao Ding, Depeng Jin, Yong Li |
| 2024 | KDD | UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction. | Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li |
| 2024 | KDD | A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction. | Jiahui Gong, Jingtao Ding, Fanjin Meng, Guilong Chen, Hong Chen, Shen Zhao, Haisheng Lu, Yong Li |
| 2024 | KDD | TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and Dynamics. | Chang Liu, Jingtao Ding, Yiwen Song, Yong Li |
| 2024 | WWW | MetroGNN: Metro Network Expansion with Reinforcement Learning. | Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li |
| 2024 | WWW | Rumor Mitigation in Social Media Platforms with Deep Reinforcement Learning. | Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li |
| 2023 | ICLR | Learning Symbolic Models for Graph-structured Physical Mechanism. | Hongzhi Shi, Jingtao Ding, Yufan Cao, Quanming Yao, Li Liu, Yong Li |
| 2023 | KDD | Spatio-temporal Diffusion Point Processes. | Yuan Yuan, Jingtao Ding, Chenyang Shao, Depeng Jin, Yong Li |
| 2023 | KDD | Road Planning for Slums via Deep Reinforcement Learning. | Yu Zheng, Hongyuan Su, Jingtao Ding, Depeng Jin, Yong Li |
| 2023 | WWW | Learning to Simulate Daily Activities via Modeling Dynamic Human Needs. | Yuan Yuan, Huandong Wang, Jingtao Ding, Depeng Jin, Yong Li |
| 2023 | WWW | Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction. | Yu Liu, Xin Zhang, Jingtao Ding, Yanxin Xi, Yong Li |
| 2023 | WWW | Robust Preference-Guided Denoising for Graph based Social Recommendation. | Yuhan Quan, Jingtao Ding, Chen Gao, Lingling Yi, Depeng Jin, Yong Li |
| 2023 | WWW | Hierarchical Knowledge Graph Learning Enabled Socioeconomic Indicator Prediction in Location-Based Social Network. | Zhilun Zhou, Yu Liu, Jingtao Ding, Depeng Jin, Yong Li |
| 2022 | CIKM | PlatoGL: Effective and Scalable Deep Graph Learning System for Graph-enhanced Real-Time Recommendation. | Dandan Lin, Shijie Sun, Jingtao Ding, Xuehan Ke, Hao Gu, Xing Huang, Chonggang Song, Xuri Zhang, Lingling Yi, Jie Wen, Chuan Chen |
| 2022 | CIKM | Causal Learning Empowered OD Prediction for Urban Planning. | Jinwei Zeng, Guozhen Zhang, Can Rong, Jingtao Ding, Jian Yuan, Yong Li |
| 2022 | KDD | Activity Trajectory Generation via Modeling Spatiotemporal Dynamics. | Yuan Yuan, Jingtao Ding, Huandong Wang, Depeng Jin, Yong Li |
| 2022 | SIGIR | Item-Provider Co-learning for Sequential Recommendation. | Lei Chen, Jingtao Ding, Min Yang, Chengming Li, Chonggang Song, Lingling Yi |
| 2020 | CIKM | Representative Negative Instance Generation for Online Ad Targeting. | Yuhan Quan, Jingtao Ding, Depeng Jin, Jianbo Yang, Xing Zhou, Yong Li |
| 2019 | IJCAI | Reinforced Negative Sampling for Recommendation with Exposure Data. | Jingtao Ding, Yuhan Quan, Xiangnan He, Yong Li, Depeng Jin |
| 2019 | IWCMC | Social Weak-tie Assisted Cross-domain Short Video Recommendation. | Xichen Wang, Chen Gao, Jingtao Ding, Long Hu, Ying Hu, Yong Li, Depeng Jin |
| 2018 | IJCAI | Improving Implicit Recommender Systems with View Data. | Jingtao Ding, Guanghui Yu, Xiangnan He, Yuhan Quan, Yong Li, Tat-Seng Chua, Depeng Jin, Jiajie Yu |
| 2018 | IWCMC | A Large-scale Measurement Study of Mobile Web Security Through Traffic Monitoring. | Shaoran Xiao, Fang Wang, Jingtao Ding, Yong Li |
| 2018 | WWW | An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data. | Jingtao Ding, Fuli Feng, Xiangnan He, Guanghui Yu, Yong Li, Depeng Jin |
| 2018 | SDM | Click versus Share: A Feature-driven Study of Micro-Video Popularity and Virality in Social Media. | Jingtao Ding, Yanghao Li, Yong Li, Depeng Jin |
| 2017 | SIGCOMM | Characterizing the Click and Share Dynamics of Micro-Videos in Social Media. | Jingtao Ding, Yanghao Li, Yong Li, Pan Hui, Depeng Jin |
| 2016 | MASS | Measurement-Driven Capability Modeling for Mobile Network in Large-Scale Urban Environment. | Jingtao Ding, Xihui Liu, Yong Li, Di Wu, Depeng Jin, Sheng Chen |
| 2015 | INFOCOM | Characterizing the phenomenon of traffic tide for large-scale mobile cellular data networks. | Jingtao Ding, Yong Li, Depeng Jin |
| 2015 | MOBIHOC | Characterizing the Spatio-Temporal Inhomogeneity of Mobile Traffic in Large-scale Cellular Data Networks. | Huandong Wang, Jingtao Ding, Yong Li, Pan Hui, Jian Yuan, Depeng Jin |