Hao Mark Chen

According to our database, Hao Mark Chen authored at least 8 papers between 2024 and 2025.

Collaborative distances:

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

2025

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization.

Hao Mark Chen, Zehuan Zhang, Wanru Zhao, Nicholas D. Lane, Hongxiang Fan

CoRR, June, 2025

Rethinking Optimal Verification Granularity for Compute-Efficient Test-Time Scaling.

Hao Mark Chen, Guanxi Lu, Yasuyuki Okoshi, Zhiwen Mo, Masato Motomura, Hongxiang Fan

CoRR, May, 2025

Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction.

Charlie Campbell, Hao Mark Chen, Wayne Luk, Hongxiang Fan

CoRR, April, 2025

FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization.

Hao Mark Chen, Shell Xu Hu, Wayne Luk, Timothy M. Hospedales, Hongxiang Fan

CoRR, March, 2025

Progressive Mixed-Precision Decoding for Efficient LLM Inference.

Hao Mark Chen, Fuwen Tan, Alexandros Kouris, Royson Lee, Hongxiang Fan, Stylianos I. Venieris

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Enhancing Dropout-based Bayesian Neural Networks with Multi-Exit on FPGA.

Hao Mark Chen, Liam Castelli, Martin Ferianc, Hongyu Zhou, Shuanglong Liu, Wayne Luk, Hongxiang Fan

CoRR, 2024

Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference.

Hao Mark Chen, Wayne Luk, Ka Fai Cedric Yiu, Rui Li, Konstantin Mishchenko, Stylianos I. Venieris, Hongxiang Fan

CoRR, 2024

Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA.

Zehuan Zhang, Hongxiang Fan, Hao Mark Chen, Lukasz Dudziak, Wayne Luk

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024