Jingtao Ding

Postdoc@Tsinghua University·中国·OpenReview

研究方向

AI for science · human mobility · synthetic data generation · spatio-temporal data mining · knowledge graph and its applications · negative sampling · representation learning · persoanlized recommendation · user modeling

Jingtao Ding

LoRAGen: Structure-Aware Weight Space Learning for LoRA Generation

FingerTip 20K: A Benchmark for Proactive and Personalized Mobile LLM Agents

Dynamics-Informed Weight Diffusion for Generalizable Prediction of Complex Systems

Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting

ChaosNexus: A Foundation Model for Universal Chaotic System Forecasting with Multi-scale Representations

LLMs Reading the Rhythms of Daily Life: Aligned Understanding for Behavior Prediction and Generation

Fine-Tuning Flow Matching via Maximum Likelihood Estimation of Reconstructions

Collaborative Deterministic–Probabilistic Forecasting for Diverse Spatiotemporal Systems

Sample-efficient diffusion-based control of complex nonlinear systems

MoveFM-R: Advancing Mobility Foundation Models via Language-driven Semantic Reasoning

MoveGPT: Scaling Mobility Foundation Models with Spatially-Aware Mixture of Experts

Mamba Integrated with Physics Principles Masters Long-term Chaotic System Forecasting

Beyond Formula Complexity: Effective Information Criterion Improves Performance and Interpretability for Symbolic Regression

Diffusion Transformers as Open-World Spatiotemporal Foundation Models

PID-controlled Langevin Dynamics for Faster Sampling on Generative Models

A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation

Sample-efficient diffusion-based control of complex nonlinear systems

Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length

Adaptive Source Localization on Complex Networks via Conditional Diffusion Model

UrbanWorld: An Urban World Model for 3D City Generation

UrbanDiT: A Foundation Model for Open-World Urban Spatio-Temporal Learning

A Diffusion-based Generative Approach for Model-free Finite-time Control of Complex Systems

A Diffusive Data Augmentation Framework for Reconstruction of Complex Network Evolutionary History