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Jingtao Ding
20 papers at tracked venues · 17 at CORE A* · active 2024–2026
DBLP profile ↗
ORCID 0000-0001-7985-6263 ↗
Homepage ↗
Venues
SIGKDD
×4
WWW
×4
ICLR
×3
NeurIPS
×3
AAAI
×2
IJCAI
×2
CIKM
×1
ICDE
×1
Frequent coauthors
Yong Li
×16
Depeng Jin
×6
Yuan Yuan
×5
Can Rong
×3
Yu Zheng
×3
Jian Yuan
×3
Hongyi Chen
×3
Xiao-Ping Zhang
×3
Yong Li
×2
Chenyang Shao
×2
Guozhen Zhang
×2
Jinwei Zeng
×2
Papers
City-Wide Origin-Destination Matrix Generation via Cascaded Graph Denoising Diffusion
BibTeX ⧉
ICDE 2026
·
Can Rong
,
Jingtao Ding
,
Zhicheng Liu
,
Peng Lu
,
Yong Li
Generating Realistic Human Mobility Data with Hybrid Large Language Model Agent
BibTeX ⧉
SIGKDD 2026
·
Chenyang Shao
,
Bingbing Fan
,
Jingtao Ding
,
Yuan Yuan
,
Meng Wang
,
Fengli Xu
A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation
BibTeX ⧉
ICLR 2025
·
Can Rong
,
Jingtao Ding
,
Yan Liu
,
Yong Li
Artificial Intelligence for Complex Network: Potential, Methodology and Application
BibTeX ⧉
WWW 2025
·
Jingtao Ding
,
Yu Zheng
,
Huandong Wang
,
Carlo Vittorio Cannistraci
,
Jianxi Gao
,
Yong Li
,
Chuan Shi
Diffusion Transformers as Open-World Spatiotemporal Foundation Models
BibTeX ⧉
NeurIPS 2025
·
Yuan Yuan
,
Chonghua Han
,
Jingtao Ding
,
Guozhen Zhang
,
Depeng Jin
,
Yong Li
Noise Matters: Diffusion Model-based Urban Mobility Generation with Collaborative Noise Priors
BibTeX ⧉
WWW 2025
·
Yuheng Zhang
,
Yuan Yuan
,
Jingtao Ding
,
Jian Yuan
,
Yong Li
OpenCarbon: A Contrastive Learning-based Cross-Modality Neural Approach for High-Resolution Carbon Emission Prediction Using Open Data
BibTeX ⧉
IJCAI 2025
·
Jinwei Zeng
,
Yu Liu
,
Guozhen Zhang
,
Jingtao Ding
,
Yuming Lin
,
Jian Yuan
,
Yong Li
PID-controlled Langevin Dynamics for Faster Sampling of Generative Models
BibTeX ⧉
NeurIPS 2025
·
Hongyi Chen
,
Jianhai Shu
,
Jingtao Ding
,
Yong Li
,
Xiao-Ping (Steven) Zhang
Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities
BibTeX ⧉
NeurIPS 2025
·
Can Rong
,
Xin Zhang
,
Yanxin Xi
,
Hongjie Sui
,
Jingtao Ding
,
Yong Li
Structure-prior Informed Diffusion Model for Graph Source Localization with Limited Data
BibTeX ⧉
CIKM 2025
·
Hongyi Chen
,
Jingtao Ding
,
Xiaojun Liang
,
Yong Li
,
Xiao-Ping Zhang
Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length
BibTeX ⧉
ICLR 2025
·
Zihan Yu
,
Jingtao Ding
,
Yong Li
,
Depeng Jin
Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction
BibTeX ⧉
IJCAI 2025
·
Zhi Sheng
,
Daisy Yuan
,
Jingtao Ding
,
Qi Yan
,
Xi Zheng
,
Yue Sun
,
Yong Li
A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction
BibTeX ⧉
SIGKDD 2024
·
Jiahui Gong
,
Jingtao Ding
,
Fanjin Meng
,
Guilong Chen
,
Hong Chen
,
Shen Zhao
,
Haisheng Lu
,
Yong Li
Estimating On-Road Transportation Carbon Emissions from Open Data of Road Network and Origin-Destination Flow Data
BibTeX ⧉
AAAI 2024
·
Jinwei Zeng
,
Yu Liu
,
Jingtao Ding
,
Jian Yuan
,
Yong Li
MetroGNN: Metro Network Expansion with Reinforcement Learning
BibTeX ⧉
WWW 2024
·
Hongyuan Su
,
Yu Zheng
,
Jingtao Ding
,
Depeng Jin
,
Yong Li
Rumor Mitigation in Social Media Platforms with Deep Reinforcement Learning
BibTeX ⧉
WWW 2024
·
Hongyuan Su
,
Yu Zheng
,
Jingtao Ding
,
Depeng Jin
,
Yong Li
Social Physics Informed Diffusion Model for Crowd Simulation
BibTeX ⧉
AAAI 2024
·
Hongyi Chen
,
Jingtao Ding
,
Yong Li
,
Yue Wang
,
Xiao-Ping Zhang
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation
BibTeX ⧉
ICLR 2024
·
Yuan Yuan
,
Chenyang Shao
,
Jingtao Ding
,
Depeng Jin
,
Yong Li
TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and Dynamics
BibTeX ⧉
SIGKDD 2024
·
Chang Liu
,
Jingtao Ding
,
Yiwen Song
,
Yong Li
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction
BibTeX ⧉
SIGKDD 2024
·
Yuan Yuan
,
Jingtao Ding
,
Jie Feng
,
Depeng Jin
,
Yong Li