Kehua Chen

According to our database, Kehua Chen authored at least 19 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Dynamic High-Order Control Barrier Functions With Diffuser for Safety-Critical Trajectory Planning at Signal-Free Intersections.

Di Chen, Ruiguo Zhong, Kehua Chen, Zhiwei Shang, Meixin Zhu, Edward Chung

IEEE Trans. Intell. Transp. Syst., September, 2025

ChronoForge-RL: Chronological Forging through Reinforcement Learning for Enhanced Video Understanding.

Kehua Chen

CoRR, September, 2025

DVP-MVS++: Synergize Depth-Normal-Edge and Harmonized Visibility Prior for Multi-View Stereo.

Zhenlong Yuan, Dapeng Zhang, Zehao Li, Chengxuan Qian, Jianing Chen, Yinda Chen, Kehua Chen, Tianlu Mao, Zhaoxin Li, Hao Jiang, Zhaoqi Wang

CoRR, June, 2025

Deep Fictitious Play-Based Potential Differential Games for Learning Human-Like Interaction at Unsignalized Intersections.

Kehua Chen, Shucheng Zhang, Yinhai Wang

CoRR, June, 2025

Human-Like Interactive Lane-Change Modeling Based on Reward-Guided Diffusive Predictor and Planner.

Kehua Chen, Yuhao Luo, Meixin Zhu, Hai Yang

IEEE Trans. Intell. Transp. Syst., March, 2025

Network evasion detection with Bi-LSTM model.

Kehua Chen, Jingping Jia

CoRR, February, 2025

SemiHMER: Semi-supervised Handwritten Mathematical Expression Recognition using pseudo-labels.

Kehua Chen, Haoyang Shen

CoRR, February, 2025

MMHMER:Multi-viewer and Multi-task for Handwritten Mathematical Expression Recognition.

Kehua Chen, Haoyang Shen, Lifan Zhong, Mingyi Chen

CoRR, February, 2025

Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization.

Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

LF-Net: A Learning-Based Frenet Planning Approach for Urban Autonomous Driving.

Zihan Yu, Meixin Zhu, Kehua Chen, Xiaowen Chu, Xuesong Wang

IEEE Trans. Intell. Veh., January, 2024

Diffusion Models for Intelligent Transportation Systems: A Survey.

Mingxing Peng, Kehua Chen, Xusen Guo, Qiming Zhang, Hongliang Lu, Hui Zhong, Di Chen, Meixin Zhu, Hai Yang

CoRR, 2024

MetaFollower: Adaptable Personalized Autonomous Car Following.

Xianda Chen, Kehua Chen, Meixin Zhu, Hao Yang, Shaojie Shen, Xuesong Wang, Yinhai Wang

CoRR, 2024

LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models.

Mingxing Peng, Xusen Guo, Xianda Chen, Meixin Zhu, Kehua Chen, Hao Yang, Xuesong Wang, Yinhai Wang

CoRR, 2024

Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression.

Chengyuan Zhang, Kehua Chen, Meixin Zhu, Hai Yang, Lijun Sun

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction.

Yuhao Luo, Kehua Chen, Meixin Zhu

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023

FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling.

Xianda Chen, Meixin Zhu, Kehua Chen, Pengqin Wang, Hongliang Lu, Hui Zhong, Xu Han, Yinhai Wang

CoRR, 2023

Cross-City Traffic Prediction via Semantic-Fused Hierarchical Graph Transfer Learning.

Kehua Chen, Jindong Han, Siyuan Feng, Hai Yang

CoRR, 2023

EquiDiff: A Conditional Equivariant Diffusion Model For Trajectory Prediction.

Kehua Chen, Xianda Chen, Zihan Yu, Meixin Zhu, Hai Yang

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

2020

Optimization of operation parameters towards sustainable WWTP based on deep reinforcement learning.

Kehua Chen, Hongcheng Wang, Borja Valverde Perez, Luca Vezzaro, Aijie Wang

CoRR, 2020