Kangsheng Wang

According to our database, Kangsheng Wang authored at least 16 papers between 2024 and 2025.

Collaborative distances:

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

2025

Non-contact Vital Signs Detection in Dynamic Environments.

Shuai Sun, Chong-Xi Liang, Chengwei Ye, Huanzhen Zhang, Kangsheng Wang

CoRR, May, 2025

MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction.

Xuyin Qi, Zeyu Zhang, Huazhan Zheng, Mingxi Chen, Numan Kutaiba, Ruth Lim, Cherie Chiang, Zi En Tham, Xuan Ren, Wenxin Zhang, Lei Zhang, Hao Zhang, Wenbing Lv, Guangzhen Yao, Renda Han, Kangsheng Wang, Mingyuan Li, Hongtao Mao, Yu Li, Zhibin Liao, Yang Zhao, Minh-Son To

CoRR, February, 2025

An Agent-Based Cybersecurity Framework Enhanced by Large Language Models: Integrating Retrieval-Augmented Generation and Monte Carlo Tree Search.

Tianxiang Xu, Chang Liu, Zihao Wang, Jiahao Li, Kangsheng Wang

Proceedings of the Knowledge Science, Engineering and Management, 2025

ACL: Adaptive Chunking of Large Language Models for Efficient Inference on Automotive Edge Devices.

Yufei Lin, Tianxiang Xu, Chengwei Ye, Huanzhen Zhang, Kangsheng Wang

Proceedings of the Knowledge Science, Engineering and Management, 2025

DRCO: a Toolkit for Intelligently Curbing Illegal Wildlife Trade.

Songcheng Xu, Yuhan Ye, Mingyuan Li, Haochen You, Kangsheng Wang, Wenxin Zhang

Proceedings of the International Joint Conference on Neural Networks, 2025

MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction.

Xuyin Qi, C. Zeyu Zhang, Huazhan Zheng, Mingxi Chen, Numan Kutaiba, Ruth Lim, Cherie Chiang, Zi En Tham, Xuan Ren, Wenxin Zhang, Lei Zhang, Hao Zhang, Wenbing Lv, Guangzhen Yao, Renda Han, Kangsheng Wang, Mingyuan Li, Hongtao Mao, Yu Li, Zhibin Liao, Yang Zhao, Minh-Son To

Proceedings of the International Joint Conference on Neural Networks, 2025

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation.

Xiao Zhang, Kangsheng Wang, Tianyu Hu, Huimin Ma

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

CSCE: Boosting LLM Reasoning by Simultaneous Enhancing of Causal Significance and Consistency.

Kangsheng Wang, Xiao Zhang, Juntao Lyu, Tianyu Hu, Huimin Ma

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

GaMNet: A Hybrid Network with Gabor Fusion and NMamba for Efficient 3D Glioma Segmentation.

Chengwei Ye, Huanzhen Zhang, Yufei Lin, Kangsheng Wang, Linuo Xu, Shuyan Liu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

RSEF: Enhancing Fairness and Accuracy in Hematopoietic Stem Cell Transplantation Survival Prediction Through Race-Stratified Ensemble Framework.

Tianxiang Xu, Jiahao Li, Chenyu Liu, Chang Liu, Jianhe Li, Kangsheng Wang, Changbang Li

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

CCL: Collaborative Curriculum Learning for Sparse-Reward Multi-agent Reinforcement Learning via Co-Evolutionary Task Evolution.

Yufei Lin, Chengwei Ye, Huanzhen Zhang, Kangsheng Wang, Linuo Xu, Shuyan Liu, Zeyu Zhang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Synergistic Spotting and Recognition of Micro-Expression via Temporal State Transition.

Bochao Zou, Zizheng Guo, Wenfeng Qin, Xin Li, Kangsheng Wang, Huimin Ma

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Enhancing Autonomous Driving through Dual-Process Learning with Behavior and Reflection Integration.

Xiao Zhang, Kangsheng Wang, Tianyu Hu, Huimin Ma

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

CreDes: Causal Reasoning Enhancement and Dual-End Searching for Solving Long-Range Reasoning Problems using LLMs.

Kangsheng Wang, Xiao Zhang, Hao Liu, Songde Han, Huimin Ma, Tianyu Hu

CoRR, 2024

CSCE: Boosting LLM Reasoning by Simultaneous Enhancing of Casual Significance and Consistency.

Kangsheng Wang, Xiao Zhang, Zizheng Guo, Tianyu Hu, Huimin Ma

CoRR, 2024

Comprehensive Review: Advancing Cognitive Computingthrough Theory of Mind Integration and Deep Learning in Artificial Intelligence.

Shuyan Liu, Kangsheng Wang

Proceedings of the 8th International Conference on Computer Science and Application Engineering, 2024