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Ding, Jingtao
14 publications
ICLR
2025
A Large-Scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation
Can Rong
,
Jingtao Ding
,
Yan Liu
,
Yong Li
NeurIPS
2025
Diffusion Transformers as Open-World Spatiotemporal Foundation Models
Yuan Yuan
,
Chonghua Han
,
Jingtao Ding
,
Guozhen Zhang
,
Depeng Jin
,
Yong Li
IJCAI
2025
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
NeurIPS
2025
PID-Controlled Langevin Dynamics for Faster Sampling of Generative Models
Hongyi Chen
,
Jianhai Shu
,
Jingtao Ding
,
Yong Li
,
Xiao-Ping Zhang
NeurIPS
2025
Satellites Reveal Mobility: A Commuting Origin-Destination Flow Generator for Global Cities
Can Rong
,
Xin Zhang
,
Yanxin Xi
,
Hongjie Sui
,
Jingtao Ding
,
Yong Li
ICLR
2025
Symbolic Regression via MDLformer-Guided Search: From Minimizing Prediction Error to Minimizing Description Length
Zihan Yu
,
Jingtao Ding
,
Yong Li
,
Depeng Jin
IJCAI
2025
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
AAAI
2024
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
AAAI
2024
Social Physics Informed Diffusion Model for Crowd Simulation
Hongyi Chen
,
Jingtao Ding
,
Yong Li
,
Yue Wang
,
Xiao-Ping Zhang
ICLR
2024
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation
Yuan Yuan
,
Chenyang Shao
,
Jingtao Ding
,
Depeng Jin
,
Yong Li
ICLR
2023
Learning Symbolic Models for Graph-Structured Physical Mechanism
Hongzhi Shi
,
Jingtao Ding
,
Yufan Cao
,
Quanming Yao
,
Li Liu
,
Yong Li
NeurIPS
2020
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering
Jingtao Ding
,
Yuhan Quan
,
Quanming Yao
,
Yong Li
,
Depeng Jin
IJCAI
2019
Reinforced Negative Sampling for Recommendation with Exposure Data
Jingtao Ding
,
Yuhan Quan
,
Xiangnan He
,
Yong Li
,
Depeng Jin
IJCAI
2018
Improving Implicit Recommender Systems with View Data
Jingtao Ding
,
Guanghui Yu
,
Xiangnan He
,
Yuhan Quan
,
Yong Li
,
Tat-Seng Chua
,
Depeng Jin
,
Jiajie Yu