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2020 – today
- 2025
[c3]Charlie Campbell, Hao Mark Chen, Wayne Luk, Hongxiang Fan:
Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction. DAC 2025: 1-7- [c2]Hao Mark Chen, Fuwen Tan, Alexandros Kouris, Royson Lee, Hongxiang Fan, Stylianos I. Venieris:
Progressive Mixed-Precision Decoding for Efficient LLM Inference. ICLR 2025 - [i10]Hao Mark Chen, Shell Xu Hu, Wayne Luk, Timothy M. Hospedales, Hongxiang Fan:
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization. CoRR abs/2503.12649 (2025) - [i9]Charlie Campbell, Hao Mark Chen, Wayne Luk, Hongxiang Fan:
Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction. CoRR abs/2504.14557 (2025) - [i8]Hao Mark Chen, Guanxi Lu, Yasuyuki Okoshi, Zhiwen Mo, Masato Motomura, Hongxiang Fan:
Rethinking Optimal Verification Granularity for Compute-Efficient Test-Time Scaling. CoRR abs/2505.11730 (2025) - [i7]Hao Mark Chen, Zehuan Zhang, Wanru Zhao, Nicholas D. Lane, Hongxiang Fan:
Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization. CoRR abs/2506.00002 (2025) - [i6]Hao Mark Chen, Zhiwen Mo, Guanxi Lu, Shuang Liang, Lingxiao Ma, Wayne Luk, Hongxiang Fan:
Democratizing Agentic AI with Fast Test-Time Scaling on the Edge. CoRR abs/2509.00195 (2025) - [i5]Guanxi Lu, Hao Mark Chen, Yuto Karashima, Zhican Wang, Daichi Fujiki, Hongxiang Fan:
AdaBlock-dLLM: Semantic-Aware Diffusion LLM Inference via Adaptive Block Size. CoRR abs/2509.26432 (2025) - 2024
- [c1]Zehuan Zhang
, Hongxiang Fan, Hao Mark Chen, Lukasz Dudziak, Wayne Luk:
Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA. DAC 2024: 301:1-301:6 - [i4]Hao Mark Chen, Wayne Luk, Ka Fai Cedric Yiu, Rui Li, Konstantin Mishchenko, Stylianos I. Venieris, Hongxiang Fan:
Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference. CoRR abs/2405.18628 (2024) - [i3]Hao Mark Chen, Liam Castelli, Martin Ferianc, Hongyu Zhou, Shuanglong Liu, Wayne Luk, Hongxiang Fan:
Enhancing Dropout-based Bayesian Neural Networks with Multi-Exit on FPGA. CoRR abs/2406.14593 (2024) - [i2]Zehuan Zhang, Hongxiang Fan, Hao Mark Chen, Lukasz Dudziak, Wayne Luk:
Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA. CoRR abs/2406.16198 (2024) - [i1]Hao Mark Chen, Fuwen Tan, Alexandros Kouris, Royson Lee, Hongxiang Fan, Stylianos I. Venieris:
Progressive Mixed-Precision Decoding for Efficient LLM Inference. CoRR abs/2410.13461 (2024)
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