Jingtao Ding
11 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (19) π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (7) π Cross-Pollinator (11)
π
Renaissance Researcher
(6)
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Conference Polyglot
(4)
π€
Dynamic Duo
(11)
π
Century Club
(11)
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Trend Setter
Conferences
ICLR (4)
IJCAI (4)
AAAI (2)
NIPS (1)
Top co-authors
Keywords
implicit feedback
(2)
recommender system
(2)
negative sampling
(2)
sampling efficiency
(1)
pairwise ranking
(1)
generative model
(1)
diffusion model
(1)
physics-informed learning
(1)
recommendation system
(1)
pedestrian trajectory
(1)
satellite imagery
(1)
cross-modality learning
(1)
heterogeneous graph
(1)
alternating least square
(1)
road network
(1)
spatial data mining
(1)
element-wise alternating least square
(1)
recommendation accuracy
(1)
exposure datum
(1)
crowd simulation
(1)
Papers
OpenCarbon: A Contrastive Learning-based Cross-Modality Neural Approach for High-Resolution Carbon Emission Prediction Using Open Data
IJCAI 2025
A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation
ICLR 2025
Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length
ICLR 2025
Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction
IJCAI 2025
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation
ICLR 2024
Social Physics Informed Diffusion Model for Crowd Simulation
AAAI 2024
Estimating On-Road Transportation Carbon Emissions from Open Data of Road Network and Origin-Destination Flow Data
AAAI 2024
Learning Symbolic Models for Graph-structured Physical Mechanism
ICLR 2023
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering
NIPS 2020
Reinforced Negative Sampling for Recommendation with Exposure Data
IJCAI 2019
Improving Implicit Recommender Systems with View Data
IJCAI 2018