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2020 – today
- 2025
[c10]Zongyue Qin, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun:
Dynamic-Width Speculative Beam Decoding for LLM Inference. AAAI 2025: 25056-25064- [c9]Faaiq Waqar, Jiahao Zhang, Anni Lu, Zifan He, Jason Cong, Shimeng Yu:
Monolithic 3D FPGA Design and Synthesis with Back-End-of-Line Configuration Memories. DAC 2025: 1-7 - [c8]Zifan He, Anderson Truong, Yingqi Cao, Jason Cong:
InTAR: Inter-Task Auto-Reconfigurable Accelerator Design for High Data Volume Variation in DNNs. FCCM 2025: 123-132 - [c7]Huifeng Ke, Sihao Liu, Licheng Guo, Zifan He, Linghao Song, Suhail Basalama, Yuze Chi, Tony Nowatzki, Jason Cong:
NoH: NoC Compilation in High-Level Synthesis. FCCM 2025: 162-171 - [c6]Zifan He
, Hersh Gupta, Huifeng Ke, Jason Cong:
InTRRA: Inter-Task Resource-Repurposing Accelerator for Efficient Transformer Inference on FPGAs. FPGA 2025: 44 - [c5]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:
Automated Design Space Exploration in High-Level Physical Synthesis. ICCAD 2025: 1-9 - [c4]Zongyue Qin, Ziniu Hu, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun:
Optimized Multi-Token Joint Decoding With Auxiliary Model for LLM Inference. ICLR 2025 - [c3]Zifan He, Yingqi Cao, Zongyue Qin, Neha Prakriya, Yizhou Sun, Jason Cong:
HMT: Hierarchical Memory Transformer for Efficient Long Context Language Processing. NAACL (Long Papers) 2025: 8068-8089 - [i9]Faaiq G. Waqar, Jiahao Zhang, Anni Lu, Zifan He, Jason Cong, Shimeng Yu:
Monolithic 3D FPGAs Utilizing Back-End-of-Line Configuration Memories. CoRR abs/2501.06921 (2025) - [i8]Zifan He, Anderson Truong, Yingqi Cao, Jason Cong:
InTAR: Inter-Task Auto-Reconfigurable Accelerator Design for High Data Volume Variation in DNNs. CoRR abs/2502.08807 (2025) - [i7]Teng Wang, Zhangyi Jiang, Zhenqi He, Wenhan Yang, Yanan Zheng, Zeyu Li, Zifan He, Shenyang Tong, Hailei Gong:
Towards Hierarchical Multi-Step Reward Models for Enhanced Reasoning in Large Language Models. CoRR abs/2503.13551 (2025) - [i6]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:
Genome-Anchored Foundation Model Embeddings Improve Molecular Prediction from Histology Images. CoRR abs/2506.19681 (2025) - [i5]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:
A Versatile Foundation Model for AI-enabled Mammogram Interpretation. CoRR abs/2509.20271 (2025) - [i4]Zifan He, Shengyu Ye, Rui Ma, Yang Wang, Jason Cong:
LUT-LLM: Efficient Large Language Model Inference with Memory-based Computations on FPGAs. CoRR abs/2511.06174 (2025) - 2024
- [c2]Zifan He, Linghao Song, Robert F. Lucas, Jason Cong:
LevelST: Stream-based Accelerator for Sparse Triangular Solver. FPGA 2024: 67-77 - [i3]Zifan He, Zongyue Qin, Neha Prakriya, Yizhou Sun, Jason Cong:
HMT: Hierarchical Memory Transformer for Long Context Language Processing. CoRR abs/2405.06067 (2024) - [i2]Zongyue Qin, Ziniu Hu, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun:
Multi-Token Joint Speculative Decoding for Accelerating Large Language Model Inference. CoRR abs/2407.09722 (2024) - [i1]Zongyue Qin, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun:
Dynamic-Width Speculative Beam Decoding for Efficient LLM Inference. CoRR abs/2409.16560 (2024) - 2022
- [c1]Zifan He, Leonard Kleinrock:
Optimization of Assisted Search Over Server-Mediated Peer-to-peer Networks. GLOBECOM 2022: 4928-4934
Coauthor Index
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