activity
20222026
most citedChatGPT for Shaping the Future of Dentistry: The Potential of Multi-Modal Large Language Model

327 citations · 768 across the 14 of their papers we have counts for

collaborators

14 papers

cs.CV2026

SR-Nav: Spatial Relationships Matter for Zero-shot Object Goal Navigation

Leyuan Fang, Zan Mao, Zijing Wang +1

Zero-shot object-goal navigation aims to find target objects in unseen environments using only egocentric observation. Recent methods leverage foundation models' comprehension and…

cs.RO2025

REACT: Runtime-Enabled Active Collision-avoidance Technique for Autonomous Driving

Heye Huang, Hao Cheng, Zhiyuan Zhou +3

Achieving rapid and effective active collision avoidance in dynamic interactive traffic remains a core challenge for autonomous driving. This paper proposes REACT (Runtime-Enabled…

astro-ph.EP2024★ 3 cited

Rossby wave instability in weakly ionized protoplanetary disks. II. radial B-fields

Can Cui, Zijin Wang

Building on our first paper in this series, we investigate the impact of radial magnetic fields and non-ideal magnetohydrodynamic (MHD) effects - specifically, Ohmic resistivity, H…

cs.RO2023★ 1 cited

RF-Enhanced Road Infrastructure for Intelligent Transportation

Dajiang Suo, Heyi Li, Rahul Bhattacharyya +7

The EPC GEN 2 communication protocol for Ultra-high frequency Radio Frequency Identification (RFID) has offered a promising avenue for advancing the intelligence of transportation…

cs.LG2023★ 29 cited

A Novel Temporal Multi-Gate Mixture-of-Experts Approach for Vehicle Trajectory and Driving Intention Prediction

Renteng Yuan, Mohamed Abdel-Aty, Qiaojun Xiang +2

Accurate Vehicle Trajectory Prediction is critical for automated vehicles and advanced driver assistance systems. Vehicle trajectory prediction consists of two essential tasks, i.e…

cs.CL2023★ 327 cited

ChatGPT for Shaping the Future of Dentistry: The Potential of Multi-Modal Large Language Model

Hanyao Huang, Ou Zheng, Dongdong Wang +8

The ChatGPT, a lite and conversational variant of Generative Pretrained Transformer 4 (GPT-4) developed by OpenAI, is one of the milestone Large Language Models (LLMs) with billion…

cs.RO2023★ 14 cited

AVOID: Autonomous Vehicle Operation Incident Dataset Across the Globe

Ou Zheng, Mohamed Abdel-Aty, Zijin Wang +3

Crash data of autonomous vehicles (AV) or vehicles equipped with advanced driver assistance systems (ADAS) are the key information to understand the crash nature and to enhance the…

stat.AP2023★ 3 cited

Exploratory analysis of injury severity under different levels of driving automation (SAE Level 2-5) using multi-source data

Shengxuan Ding, Mohamed Abdel-Aty, Natalia Barbour +3

Vehicles equipped with automated driving capabilities have shown potential to improve safety and operations. Advanced driver assistance systems (ADAS) and automated driving systems…

physics.soc-ph2023★ 3 cited

Traffic flow clustering framework using drone video trajectories to identify surrogate safety measures

Shengxuan Ding, Mohamed Abdel-Aty, Ou Zheng +2

The utilization of traffic conflict indicators is crucial for assessing traffic safety, especially when the crash data is unavailable. To identify traffic conflicts based on traffi…

cs.CV2023★ 81 cited

Advances and Applications of Computer Vision Techniques in Vehicle Trajectory Generation and Surrogate Traffic Safety Indicators

Mohamed Abdel-Aty, Zijin Wang, Ou Zheng +1

The application of Computer Vision (CV) techniques massively stimulates microscopic traffic safety analysis from the perspective of traffic conflicts and near misses, which is usua…

cs.CL2023★ 24 cited

ChatGPT is on the Horizon: Could a Large Language Model be Suitable for Intelligent Traffic Safety Research and Applications?

Ou Zheng, Mohamed Abdel-Aty, Dongdong Wang +2

ChatGPT embarks on a new era of artificial intelligence and will revolutionize the way we approach intelligent traffic safety systems. This paper begins with a brief introduction a…

cs.RO2022★ 72 cited

Towards Next Generation of Pedestrian and Connected Vehicle In-the-loop Research: A Digital Twin Co-Simulation Framework

Zijin Wang, Ou Zheng, Liangding Li +3

Digital Twin is an emerging technology that replicates real-world entities into a digital space. It has attracted increasing attention in the transportation field and many research…

cs.AI2022★ 6 cited

Trajectory Prediction for Vehicle Conflict Identification at Intersections Using Sequence-to-Sequence Recurrent Neural Networks

Amr Abdelraouf, Mohamed Abdel-Aty, Zijin Wang +1

Surrogate safety measures in the form of conflict indicators are indispensable components of the proactive traffic safety toolbox. Conflict indicators can be classified into past-t…

cs.CV2022★ 205 cited

CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety Oriented Research and Digital Twins

Ou Zheng, Mohamed Abdel-Aty, Lishengsa Yue +3

The development of safety-oriented research and applications requires fine-grain vehicle trajectories that not only have high accuracy, but also capture substantial safety-critical…