activity
20222026
most citedJointly Contrastive Representation Learning on Road Network and Trajectory

50 citations · 54 across the 4 of their papers we have counts for

collaborators

5 papers

cs.HC2026

See What I See: An Attention-Guiding eHMI Approach for Autonomous Vehicles

Jialong Li, Zhenyu Mao, Zhiyao Wang +4

As autonomous vehicles are gradually being deployed in the real world, external Human-Machine Interfaces (eHMIs) are expected to serve as a critical solution for enhancing vehicle-…

cs.SE2025

SAGE: Semantic-Aware Gray-Box Game Regression Testing with Large Language Models

Jinyu Cai, Jialong Li, Nianyu Li +3

The rapid iteration cycles of modern live-service games make regression testing indispensable for maintaining quality and stability. However, existing regression testing approaches…

cs.SE2024★ 1 cited

Multi-role Consensus through LLMs Discussions for Vulnerability Detection

Zhenyu Mao, Jialong Li, Dongming Jin +2

Recent advancements in large language models (LLMs) have highlighted the potential for vulnerability detection, a crucial component of software quality assurance. Despite this prog…

cs.CL2022★ 3 cited

SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning

Dongsheng Zhu, Zhenyu Mao, Jinghui Lu +2

Contrastive learning has recently achieved compelling performance in unsupervised sentence representation. As an essential element, data augmentation protocols, however, have not b…

cs.LG2022★ 50 cited

Jointly Contrastive Representation Learning on Road Network and Trajectory

Zhenyu Mao, Ziyue Li, Dedong Li +2

Road network and trajectory representation learning are essential for traffic systems since the learned representation can be directly used in various downstream tasks (e.g., traff…