Jiakai Pan

According to our database, Jiakai Pan authored at least 8 papers between 2021 and 2026.

Collaborative distances:

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

2026

Enhancing multimodal large language models with efficient feature alignment and processing using state space models.

Wenjun Huang, Jiakai Pan, Zhengzhuo Wang, Yuan Liu, Yuhe Wang, Shengzhi Shen, Jianguo Hu

Neurocomputing, 2026

HyT-Pose: Accurate Pose Estimation by Iteratively Fusing Global and Local Context.

Yunxiang Liu, Jiakai Pan

IEEE Access, 2026

GeoRoute: Signoff-Clean Analog Routing via Pin-Aligned Graph Construction for Robust Pin Access: GeoRoute: Signoff-Clean Analog Routing via Pin-Aligned Graph Construction for Robust Pin Access.

Jiakai Pan, Wenjia Wang, Wenjun Huang, Shengzhi Shen, Yuhe Wang, Jianguo Hu

Proceedings of the Great Lakes Symposium on VLSI 2026, 2026

2025

MGARoute: Efficient Analog Routing With Multi-Stage Rip-Up and Rerouting Under Geometric and Symmetry Constraints.

Deming Wang, Song-Yan Jiang, Jiakai Pan, Ying Zhao, Yong Zhang, Jianguo Hu

IEEE Trans. Circuits Syst. I Regul. Pap., December, 2025

VisCompConText: Scaling Multi-Modal Contexts via Visual Token Compression and Language Model Guidance.

Wenjun Huang, Zhengzhuo Wang, Jiakai Pan, Yuhe Wang, Shengzhi Shen, Jiahao Tang, Chaoxing Zhou, Jianguo Hu

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

Enhancing Visual Understanding in Multimodal Large Language Models with Efficient Feature Alignment and State Space Models.

Wenjun Huang, Jiakai Pan, Jiahao Tang, Yifei Xing, Yuhe Wang, Zhengzhuo Wang, Shengzhi Shen, Jianguo Hu

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

2024

Spatio-Temporal Graph Convolution Transformer for Video Question Answering.

Jiahao Tang, Jianguo Hu, Wenjun Huang, Shengzhi Shen, Jiakai Pan, Deming Wang, Yanyu Ding

IEEE Access, 2024

2021

Identification of Specific Substances in the FAIMS Spectra of Complex Mixtures Using Deep Learning.

Hua Li, Jiakai Pan, Hongda Zeng, Zhencheng Chen, Xiaoxia Du, Wenxiang Xiao

Sensors, 2021