Xinhong Chen

According to our database, Xinhong Chen authored at least 35 papers between 2020 and 2026.

Collaborative distances:

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

2026

A Generic Competitive-Cooperative Actor-Critic Framework for Deep Reinforcement Learning.

Meng Xu, Zihao Wen, Xinhong Chen, Guanyi Zhao, Jin Huang, Jianping Wang

IEEE Trans. Pattern Anal. Mach. Intell., June, 2026

Mode-as-Sequence: Translating Multimodal Motion Prediction into Unified Sequential Mode Modeling.

Zikang Zhou, Haibo Hu, Xinhong Chen, Yifan Zhang, Nan Guan, Yung-Hui Li, Chun Jason Xue, Jianping Wang

CoRR, May, 2026

A Unified Experience Replay Framework for Spiking Deep Reinforcement Learning.

Meng Xu, Xinhong Chen, Bingyi Liu, Yi-Rong Lin, Yung-Hui Li, Jianping Wang

IEEE Trans. Pattern Anal. Mach. Intell., April, 2026

MAPLE: A Modularized Framework for Learning-Based Planners to Integrate Prediction.

Zihao Wen, Zikang Zhou, Xinhong Chen, Jianping Wang, Yung-Hui Li, Yu-Kai Huang

IEEE Trans. Emerg. Top. Comput. Intell., February, 2026

Knowledge-aware replay for multi-label class-incremental learning.

Chengtai Cao, Xinhong Chen, Qun Song, Rui Tan, Yung-Hui Li, Jianping Wang

Expert Syst. Appl., 2026

A Unified Self-Regulating Training Framework for Federated Deep Reinforcement Learning.

Meng Xu, Xinhong Chen, Zhongying Chen, Guanyi Zhao, Yang Jin, Jianping Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Neighboring State-Aware Policy for Deep Reinforcement Learning.

Meng Xu, Xinhong Chen, Guanyi Zhao, Zihao Wen, Weiwei Fu, Jianping Wang

IEEE Trans. Neural Networks Learn. Syst., October, 2025

A Two-Stage Selective Experience Replay for Double-Actor Deep Reinforcement Learning.

Meng Xu, Xinhong Chen, Zihao Wen, Weiwei Fu, Jianping Wang

IEEE Trans. Neural Networks Learn. Syst., September, 2025

A Novel Topology Adaptation Strategy for Dynamic Sparse Training in Deep Reinforcement Learning.

Meng Xu, Xinhong Chen, Jianping Wang

IEEE Trans. Neural Networks Learn. Syst., July, 2025

A Unified Sparse Training Framework for Lightweight Lifelong Deep Reinforcement Learning.

Meng Xu, Xinhong Chen, Weiwei Fu, Yi-Rong Lin, Yung-Hui Li, Jianping Wang

IEEE Trans. Syst. Man Cybern. Syst., April, 2025

Policy Correction and State-Conditioned Action Evaluation for Few-Shot Lifelong Deep Reinforcement Learning.

Meng Xu, Xinhong Chen, Jianping Wang

IEEE Trans. Neural Networks Learn. Syst., April, 2025

CoT-VLM4Tar: Chain-of-Thought Guided Vision-Language Models for Traffic Anomaly Resolution.

Tianchi Ren, Haibo Hu, Jiacheng Zuo, Xinhong Chen, Jianping Wang, Chun Jason Xue, Jen-Ming Wu, Nan Guan

CoRR, March, 2025

Recognizing Conditional Causal Relationships about Emotions and Their Corresponding Conditions.

Xinhong Chen, Zongxi Li, Haoran Xie, Jianping Wang, Qing Li, Kevin Hung

Web Intell., 2025

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus.

Yunjiang Xu, Lingzhi Li, Jin Wang, Benyuan Yang, Zhiwen Wu, Xinhong Chen, Jianping Wang

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Global Regulation and Excitation via Attention Tuning for Stereo Matching.

Jiahao Li, Xinhong Chen, Zhengmin Jiang, Qian Zhou, Yung-Hui Li, Jianping Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

DAMO: Dual-Attention with Multi-Objective Optimization for Explainable Autonomous Driving.

Chengtai Cao, Shenglin Wang, Xinhong Chen, Yung-Hui Li, Jianping Wang

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2024

Strengthening Cooperative Consensus in Multi-Robot Confrontation.

Meng Xu, Xinhong Chen, Yechao She, Yang Jin, Guanyi Zhao, Jianping Wang

ACM Trans. Intell. Syst. Technol., April, 2024

Time-Varying Weights in Multi-Reward Architecture for Deep Reinforcement Learning.

Meng Xu, Xinhong Chen, Yechao She, Yang Jin, Jianping Wang

IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Tempnet: A graph convolutional network for temperature field prediction of fire-damaged concrete.

Huaguo Chen, Jianjun Yang, Xinhong Chen, Dong Zhang, Vincent J. L. Gan

Expert Syst. Appl., March, 2024

TOFG: Temporal Occupancy Flow Graph for Prediction and Planning in Autonomous Driving.

Zihao Wen, Yifan Zhang, Xinhong Chen, Jianping Wang, Yung-Hui Li, Yu-Kai Huang

IEEE Trans. Intell. Veh., January, 2024

Progressive Hierarchical Deep Reinforcement Learning for defect wafer test.

Meng Xu, Xinhong Chen, Yechao She, Jianping Wang

Knowl. Based Syst., 2024

BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction.

Zikang Zhou, Haibo Hu, Xinhong Chen, Jianping Wang, Nan Guan, Kui Wu, Yung-Hui Li, Yu-Kai Huang, Chun Jason Xue

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

SGDCL: Semantic-Guided Dynamic Correlation Learning for Explainable Autonomous Driving.

Chengtai Cao, Xinhong Chen, Jianping Wang, Qun Song, Rui Tan, Yung-Hui Li

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

CCTR: Calibrating Trajectory Prediction for Uncertainty-Aware Motion Planning in Autonomous Driving.

Chengtai Cao, Xinhong Chen, Jianping Wang, Qun Song, Rui Tan, Yung-Hui Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Reinforcement Learning Based Two-Stage Model for Emotion Cause Pair Extraction.

Xinhong Chen, Qing Li, Zongxi Li, Haoran Xie, Fu Lee Wang, Jianping Wang

IEEE Trans. Affect. Comput., 2023

Recognizing Conditional Causal Relationships about Emotions and Their Corresponding Conditions.

Xinhong Chen, Zongxi Li, Yaowei Wang, Haoran Xie, Jianping Wang, Qing Li

CoRR, 2023

TOFG: A Unified and Fine-Grained Environment Representation in Autonomous Driving.

Zihao Wen, Yifan Zhang, Xinhong Chen, Jianping Wang

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

GSAN: Graph Self-Attention Network for Learning Spatial-Temporal Interaction Representation in Autonomous Driving.

Luyao Ye, Zezhong Wang, Xinhong Chen, Jianping Wang, Kui Wu, Kejie Lu

IEEE Internet Things J., 2022

2021

EmoChannel-SA: exploring emotional dependency towards classification task with self-attention mechanism.

Zongxi Li, Xinhong Chen, Haoran Xie, Qing Li, Xiaohui Tao, Gary Cheng

World Wide Web, 2021

A Generative Car-following Model Conditioned On Driving Styles.

Yifan Zhang, Xinhong Chen, Jianping Wang, Zuduo Zheng, Kui Wu

CoRR, 2021

2020

Event modeling and mining: a long journey toward explainable events.

Xinhong Chen, Qing Li

VLDB J., 2020

EmoChannelAttn: Exploring Emotional Construction Towards Multi-Class Emotion Classification.

Zongxi Li, Xinhong Chen, Haoran Xie, Qing Li, Xiaohui Tao

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

GSAN: Graph Self-Attention Network for Interaction Measurement in Autonomous Driving.

Luyao Ye, Zezhong Wang, Xinhong Chen, Jianping Wang, Kui Wu, Kejie Lu

Proceedings of the 17th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2020

Conditional Causal Relationships between Emotions and Causes in Texts.

Xinhong Chen, Qing Li, Jianping Wang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Unified Sequence Labeling Model for Emotion Cause Pair Extraction.

Xinhong Chen, Qing Li, Jianping Wang

Proceedings of the 28th International Conference on Computational Linguistics, 2020