Zifan He

21 papers A* 3A 3B 1Misc 2Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
FlexLLM: Composable HLS Library for Flexible Hybrid LLM Accelerator Design.
CoRR
Jiahao Zhang, Zifan He, Nicholas Fraser, Michaela Blott, Yizhou Sun, Jason Cong
2026 J jnl
Understand and Accelerate Memory Processing Pipeline for Disaggregated LLM Inference.
CoRR
Zifan He, Rui Ma, Yizhou Sun, Jason Cong
2025 J jnl
A Versatile Foundation Model for AI-enabled Mammogram Interpretation.
CoRR
Fuxiang Huang, Jiayi Zhu, Yunfang Yu, Yu Xie, Yuan Guo, Qingcong Kong, Mingxiang Wu, Xinrui Jiang, Shu Yang, Jiabo Ma, Ziyi Liu, Zhe Xu, Zhixuan Chen, Yujie Tan, Zifan He, Luhui Mao, Xi Wang, Junlin Hou, Lei Zhang, Qiong Luo, Zhenhui Li, Herui Yao, Hao Chen
2025 A conf
Automated Design Space Exploration in High-Level Physical Synthesis.
ICCAD
Linfeng Du, Jiawei Liang, Jason Lau, Yuze Chi, Yutong Xie, Chunyou Su, Afzal Ahmad, Zifan He, Jake Ke, Jinming Ge, Jason Cong, Wei Zhang, Licheng Guo
2025 A* conf
Dynamic-Width Speculative Beam Decoding for LLM Inference.
AAAI
Zongyue Qin, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun
2025 J jnl
Genome-Anchored Foundation Model Embeddings Improve Molecular Prediction from Histology Images.
CoRR
Cheng Jin, Fengtao Zhou, Yunfang Yu, Jiabo Ma, Yihui Wang, Yingxue Xu, Huajun Zhou, Hao Jiang, Luyang Luo, Luhui Mao, Zifan He, Xiuming Zhang, Jing Zhang, Ronald Cheong Kin Chan, Herui Yao, Hao Chen
2025 — conf
HMT: Hierarchical Memory Transformer for Efficient Long Context Language Processing.
NAACL (Long Papers)
Zifan He, Yingqi Cao, Zongyue Qin, Neha Prakriya, Yizhou Sun, Jason Cong
2025 Misc conf
InTAR: Inter-Task Auto-Reconfigurable Accelerator Design for High Data Volume Variation in DNNs.
FCCM
Zifan He, Anderson Truong, Yingqi Cao, Jason Cong
2025 J jnl
InTAR: Inter-Task Auto-Reconfigurable Accelerator Design for High Data Volume Variation in DNNs.
CoRR
Zifan He, Anderson Truong, Yingqi Cao, Jason Cong
2025 A conf
InTRRA: Inter-Task Resource-Repurposing Accelerator for Efficient Transformer Inference on FPGAs.
FPGA
Zifan He, Hersh Gupta, Huifeng Ke, Jason Cong
2025 J jnl
LUT-LLM: Efficient Large Language Model Inference with Memory-based Computations on FPGAs.
CoRR
Zifan He, Shengyu Ye, Rui Ma, Yang Wang, Jason Cong
2025 A* conf
Monolithic 3D FPGA Design and Synthesis with Back-End-of-Line Configuration Memories.
DAC
Faaiq Waqar, Jiahao Zhang, Anni Lu, Zifan He, Jason Cong, Shimeng Yu
2025 J jnl
Monolithic 3D FPGAs Utilizing Back-End-of-Line Configuration Memories.
CoRR
Faaiq G. Waqar, Jiahao Zhang, Anni Lu, Zifan He, Jason Cong, Shimeng Yu
2025 Misc conf
NoH: NoC Compilation in High-Level Synthesis.
FCCM
Huifeng Ke, Sihao Liu, Licheng Guo, Zifan He, Linghao Song, Suhail Basalama, Yuze Chi, Tony Nowatzki, Jason Cong
2025 A* conf
Optimized Multi-Token Joint Decoding With Auxiliary Model for LLM Inference.
ICLR
Zongyue Qin, Ziniu Hu, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun
2025 J jnl
Towards Hierarchical Multi-Step Reward Models for Enhanced Reasoning in Large Language Models.
CoRR
Teng Wang, Zhangyi Jiang, Zhenqi He, Wenhan Yang, Yanan Zheng, Zeyu Li, Zifan He, Shenyang Tong, Hailei Gong
2024 J jnl
Dynamic-Width Speculative Beam Decoding for Efficient LLM Inference.
CoRR
Zongyue Qin, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun
2024 J jnl
HMT: Hierarchical Memory Transformer for Long Context Language Processing.
CoRR
Zifan He, Zongyue Qin, Neha Prakriya, Yizhou Sun, Jason Cong
2024 A conf
LevelST: Stream-based Accelerator for Sparse Triangular Solver.
FPGA
Zifan He, Linghao Song, Robert F. Lucas, Jason Cong
2024 J jnl
Multi-Token Joint Speculative Decoding for Accelerating Large Language Model Inference.
CoRR
Zongyue Qin, Ziniu Hu, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun
2022 B conf
Optimization of Assisted Search Over Server-Mediated Peer-to-peer Networks.
GLOBECOM
Zifan He, Leonard Kleinrock