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20232026
most citedJoint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach

18 citations · 29 across the 15 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.LG2025

Solving Oversmoothing in GNNs via Nonlocal Message Passing: Algebraic Smoothing and Depth Scalability

Weiqi Guan, Junlin He

The relationship between Layer Normalization (LN) placement and the oversmoothing phenomenon remains underexplored. We identify a critical dilemma: Pre-LN architectures avoid overs…

cs.CV2025

E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving

Yihong Tang, Haicheng Liao, Tong Nie +7

End-to-end autonomous driving (AD) systems increasingly adopt vision-language-action (VLA) models, yet they typically ignore the passenger's emotional state, which is central to co…

stat.AP2025

Estimating Real Demand Using a Flipped Queueing Model: A Case of Shared Micro-Mobility Services

Binyu Yang, Jinxiao Du, Junlin He +2

The spatial-temporal imbalance between supply and demand in shared micro-mobility services often leads to observed demand being censored, resulting in incomplete records of the und…

cs.AI2025

Steerable Adversarial Scenario Generation through Test-Time Preference Alignment

Tong Nie, Yuewen Mei, Yihong Tang +5

Adversarial scenario generation is a cost-effective approach for safety assessment of autonomous driving systems. However, existing methods are often constrained to a single, fixed…

cs.LG2025

LLMSynthor: Macro-Aligned Micro-Records Synthesis with Large Language Models

Yihong Tang, Menglin Kong, Junlin He +3

Macro-aligned micro-records are crucial for credible simulations in social science and urban studies. For example, epidemic models are only reliable when individual-level mobility…