Renhe Jiang
19 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Machine Learning
(14)
Artificial Intelligence
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Core AI
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Core Methods
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Learning Types Β· Machine Learning
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Data Science & Analytics
(7)
Deep Learning
(7)
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Applications
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Learning Types Β· Deep Learning
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Computer Vision
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Natural Language Processing
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Keywords
trajectory prediction
(3)
representation learning
(3)
graph neural network
(3)
autonomous driving
(2)
spatio-temporal data
(2)
collision avoidance
(2)
multi-agent system
(2)
large language model
(2)
mixture density function
(2)
time series forecasting
(2)
spatiotemporal forecasting
(2)
retrieval-augmented generation
(2)
traffic forecasting
(2)
tensor time series
(1)
graph structure learning
(1)
graph modeling
(1)
robustness
(1)
sequential recommendation
(1)
deep learning
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self-supervised learning
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Papers
Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety
ACL 2026
See2Refine: Vision-Language Feedback Improves LLM-Based eHMI Action Designers
ACL 2026
A Survey of RAG-Reasoning Systems in Large Language Models
EMNLP 2025
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling
ICML 2025
Disentangled and Personalized Representation Learning for Next Point-of-Interest Recommendation
IJCAI 2025
Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances, Resources, and Future Directions
EMNLP 2025
Towards Neural Scaling Laws for Time Series Foundation Models
ICLR 2025
Community-Invariant Graph Contrastive Learning
ICML 2024
Continuous Temporal Domain Generalization
NeurIPS 2024
Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation
NeurIPS 2024
Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning
IJCAI 2024
Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting
IJCAI 2024
Taming the Long Tail in Human Mobility Prediction
NeurIPS 2024
Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout
AAAI 2023
Learning Gaussian Mixture Representations for Tensor Time Series Forecasting
IJCAI 2023
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting
AAAI 2023
Event-Aware Multimodal Mobility Nowcasting
AAAI 2022
Social-DPF: Socially Acceptable Distribution Prediction of Futures
AAAI 2021
Multimodal Interaction-Aware Trajectory Prediction in Crowded Space
AAAI 2020