Hanchen Ye

26 papers A* 6A 3B 1Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
MLCD: Machine Learning-Based Code Version and Device Selection for Heterogeneous Systems.
IEEE Trans. Computers
Kaiwen Cao, Hanchen Ye, Yihan Pang, Deming Chen
2025 A* conf
StreamTensor: Make Tensors Stream in Dataflow Accelerators for LLMs.
MICRO
Hanchen Ye, Deming Chen
2025 J jnl
StreamTensor: Make Tensors Stream in Dataflow Accelerators for LLMs.
CoRR
Hanchen Ye, Deming Chen
2025 J jnl
Unsupervised perturbation based self-supervised federated adversarial training.
Appl. Intell.
Yuyue Zhang, Hanchen Ye, Xiaoli Zhao
2024 J jnl
CHARM 2.0: Composing Heterogeneous Accelerators for Deep Learning on Versal ACAP Architecture.
ACM Trans. Reconfigurable Technol. Syst.
Jinming Zhuang, Jason Lau, Hanchen Ye, Zhuoping Yang, Shixin Ji, Jack Lo, Kristof Denolf, Stephen Neuendorffer, Alex K. Jones, Jingtong Hu, Yiyu Shi, Deming Chen, Jason Cong, Peipei Zhou
2024 — conf
HIDA: A Hierarchical Dataflow Compiler for High-Level Synthesis.
ASPLOS (1)
Hanchen Ye, HyeGang Jun, Deming Chen
2024 B conf
Invited Paper: Software/Hardware Co-design for LLM and Its Application for Design Verification.
ASPDAC
Lily Jiaxin Wan, Yingbing Huang, Yuhong Li, Hanchen Ye, Jinghua Wang, Xiaofan Zhang, Deming Chen
2024 A* conf
Invited: New Solutions on LLM Acceleration, Optimization, and Application.
DAC
Yingbing Huang, Lily Jiaxin Wan, Hanchen Ye, Manvi Jha, Jinghua Wang, Yuhong Li, Xiaofan Zhang, Deming Chen
2024 J jnl
New Solutions on LLM Acceleration, Optimization, and Application.
CoRR
Yingbing Huang, Lily Jiaxin Wan, Hanchen Ye, Manvi Jha, Jinghua Wang, Yuhong Li, Xiaofan Zhang, Deming Chen
2024 A* conf
SnapKV: LLM Knows What You are Looking for Before Generation.
NeurIPS
Yuhong Li, Yingbing Huang, Bowen Yang, Bharat Venkitesh, Acyr Locatelli, Hanchen Ye, Tianle Cai, Patrick Lewis, Deming Chen
2024 J jnl
SnapKV: LLM Knows What You are Looking for Before Generation.
CoRR
Yuhong Li, Yingbing Huang, Bowen Yang, Bharat Venkitesh, Acyr Locatelli, Hanchen Ye, Tianle Cai, Patrick Lewis, Deming Chen
2024 A conf
Subgraph Extraction-Based Feedback-Guided Iterative Scheduling for HLS.
DATE
Hanchen Ye, David Z. Pan, Chris Leary, Deming Chen, Xiaoqing Xu
2024 J jnl
Subgraph Extraction-based Feedback-guided Iterative Scheduling for HLS.
CoRR
Hanchen Ye, David Z. Pan, Chris Leary, Deming Chen, Xiaoqing Xu
2023 J jnl
AutoScaleDSE: A Scalable Design Space Exploration Engine for High-Level Synthesis.
ACM Trans. Reconfigurable Technol. Syst.
HyeGang Jun, Hanchen Ye, Hyunmin Jeong, Deming Chen
2023 A conf
CHARM: Composing Heterogeneous AcceleRators for Matrix Multiply on Versal ACAP Architecture.
FPGA
Jinming Zhuang, Jason Lau, Hanchen Ye, Zhuoping Yang, Yubo Du, Jack Lo, Kristof Denolf, Stephen Neuendorffer, Alex K. Jones, Jingtong Hu, Deming Chen, Jason Cong, Peipei Zhou
2023 J jnl
CHARM: Composing Heterogeneous Accelerators for Matrix Multiply on Versal ACAP Architecture.
CoRR
Jinming Zhuang, Jason Lau, Hanchen Ye, Zhuoping Yang, Yubo Du, Jack Lo, Kristof Denolf, Stephen Neuendorffer, Alex K. Jones, Jingtong Hu, Deming Chen, Jason Cong, Peipei Zhou
2023 J jnl
HIDA: A Hierarchical Dataflow Compiler for High-Level Synthesis.
CoRR
Hanchen Ye, HyeGang Jun, Deming Chen
2023 — conf
High-level Synthesis for Domain Specific Computing.
ISPD
Hanchen Ye, HyeGang Jun, Jin Yang, Deming Chen
2022 A* conf
ScaleHLS: A New Scalable High-Level Synthesis Framework on Multi-Level Intermediate Representation.
HPCA
Hanchen Ye, Cong Hao, Jianyi Cheng, Hyunmin Jeong, Jack Huang, Stephen Neuendorffer, Deming Chen
2022 A* conf
ScaleHLS: a scalable high-level synthesis framework with multi-level transformations and optimizations: invited.
DAC
Hanchen Ye, HyeGang Jun, Hyunmin Jeong, Stephen Neuendorffer, Deming Chen
2021 J jnl
Being-ahead: Benchmarking and Exploring Accelerators for Hardware-Efficient AI Deployment.
CoRR
Xiaofan Zhang, Hanchen Ye, Deming Chen
2021 J jnl
ScaleHLS: Scalable High-Level Synthesis through MLIR.
CoRR
Hanchen Ye, Cong Hao, Jianyi Cheng, Hyunmin Jeong, Jack Huang, Stephen Neuendorffer, Deming Chen
2020 A conf
DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator.
ICCAD
Xiaofan Zhang, Hanchen Ye, Junsong Wang, Yonghua Lin, Jinjun Xiong, Wen-Mei Hwu, Deming Chen
2020 J jnl
DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator.
CoRR
Xiaofan Zhang, Hanchen Ye, Junsong Wang, Yonghua Lin, Jinjun Xiong, Wen-mei W. Hwu, Deming Chen
2020 A* conf
HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation.
DAC
Hanchen Ye, Xiaofan Zhang, Zhize Huang, Gengsheng Chen, Deming Chen
2020 J jnl
HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation.
CoRR
Hanchen Ye, Xiaofan Zhang, Zhize Huang, Gengsheng Chen, Deming Chen