Hanqiu Chen

17 papers A* 1A 2Misc 2Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Efficient Mixture-of-Agents Serving via Tree-Structured Routing, Adaptive Pruning, and Dependency-Aware Prefill-Decode Overlap.
CoRR
Zijun Wang, Yijiahao Qi, Hanqiu Chen, Zishen Wan, Gongjin Sun, Dongyang Li, Shuyi Pei, Cong Hao
2025 J jnl
ForgeBench: A Machine Learning Benchmark Suite and Auto-Generation Framework for Next-Generation HLS Tools.
CoRR
Andy Wanna, Hanqiu Chen, Cong Hao
2024 — conf
HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond.
MLCAD
Stefan Abi-Karam, Rishov Sarkar, Allison Seigler, Sean Lowe, Zhigang Wei, Hanqiu Chen, Nanditha Rao, Lizy Kurian John, Aman Arora, Cong Hao
2024 J jnl
HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond.
CoRR
Stefan Abi-Karam, Rishov Sarkar, Allison Seigler, Sean Lowe, Zhigang Wei, Hanqiu Chen, Nanditha Rao, Lizy Kurian John, Aman Arora, Cong Hao
2024 A* conf
ICGMM: CXL-enabled Memory Expansion with Intelligent Caching Using Gaussian Mixture Model.
DAC
Hanqiu Chen, Yitu Wang, Luis Vitorio Cargnini, Mohammadreza Soltaniyeh, Dongyang Li, Gongjin Sun, Pradeep Subedi, Andrew Chang, Yiran Chen, Cong Hao
2024 J jnl
ICGMM: CXL-enabled Memory Expansion with Intelligent Caching Using Gaussian Mixture Model.
CoRR
Hanqiu Chen, Yitu Wang, Luis Vitorio Cargnini, Mohammadreza Soltaniyeh, Dongyang Li, Gongjin Sun, Pradeep Subedi, Andrew Chang, Yiran Chen, Cong Hao
2024 A conf
Residual-INR: Communication Efficient On-Device Learning Using Implicit Neural Representation.
ICCAD
Hanqiu Chen, Xuebin Yao, Pradeep Subedi, Cong Hao
2024 J jnl
Residual-INR: Communication Efficient On-Device Learning Using Implicit Neural Representation.
CoRR
Hanqiu Chen, Xuebin Yao, Pradeep Subedi, Cong Hao
2024 J jnl
Survey of Machine Learning for Software-assisted Hardware Design Verification: Past, Present, and Prospect.
ACM Trans. Design Autom. Electr. Syst.
Nan Wu, Yingjie Li, Hang Yang, Hanqiu Chen, Steve Dai, Cong Hao, Cunxi Yu, Yuan Xie
2023 Misc conf
DGNN-Booster: A Generic FPGA Accelerator Framework For Dynamic Graph Neural Network Inference.
FCCM
Hanqiu Chen, Cong Hao
2023 J jnl
DGNN-Booster: A Generic FPGA Accelerator Framework For Dynamic Graph Neural Network Inference.
CoRR
Hanqiu Chen, Cong Hao
2023 Misc conf
Hardware/Software Co-design for Machine Learning Accelerators.
FCCM
Hanqiu Chen, Cong Hao
2023 A conf
Rapid-INR: Storage Efficient CPU-Free DNN Training Using Implicit Neural Representation.
ICCAD
Hanqiu Chen, Hang Yang, Stephen B. R. Fitzmeyer, Cong Hao
2023 J jnl
Rapid-INR: Storage Efficient CPU-free DNN Training Using Implicit Neural Representation.
CoRR
Hanqiu Chen, Hang Yang, Stephen B. R. Fitzmeyer, Cong Hao
2022 — conf
Bottleneck Analysis of Dynamic Graph Neural Network Inference on CPU and GPU.
IISWC
Hanqiu Chen, Yahya Alhinai, Yihan Jiang, Eunjee Na, Cong Hao
2022 J jnl
Bottleneck Analysis of Dynamic Graph Neural Network Inference on CPU and GPU.
CoRR
Hanqiu Chen, Yahya Alhinai, Yihan Jiang, Eunjee Na, Cong Hao
2022 — conf
Mask-Net: A Hardware-efficient Object Detection Network with Masked Region Proposals.
ASAP
Hanqiu Chen, Cong Hao