Zifan He

According to our database, Zifan He authored at least 23 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

H²MT: Semantic Hierarchy-Aware Hierarchical Memory Transformer.

Maryam Haghifam, Zifan He, Jason Cong, Yizhou Sun

CoRR, May, 2026

Understand and Accelerate Memory Processing Pipeline for Disaggregated LLM Inference.

Zifan He, Rui Ma, Yizhou Sun, Jason Cong

CoRR, March, 2026

FlexLLM: Composable HLS Library for Flexible Hybrid LLM Accelerator Design.

Jiahao Zhang, Zifan He, Nicholas Fraser, Michaela Blott, Yizhou Sun, Jason Cong

CoRR, January, 2026

Enabling Context-Switchable Monolithic 3D FPGA Design Using Bistable Ferroelectric Inverters.

Faaiq G. Waqar, Matthew Chen, Zifan He, Zishen Wan, Minji Shon, Wei-Hsing Huang, Jason Cong, Shimeng Yu

Proceedings of the 34th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2026

LUT-LLM: Efficient Language Model Inference with Memory-based Computations on FPGAs.

Zifan He, Shengyu Ye, Rui Ma, Yang Wang, Jason Cong

Proceedings of the 34th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2026

2025

LUT-LLM: Efficient Large Language Model Inference with Memory-based Computations on FPGAs.

Zifan He, Shengyu Ye, Rui Ma, Yang Wang, Jason Cong

CoRR, November, 2025

A Versatile Foundation Model for AI-enabled Mammogram Interpretation.

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

CoRR, September, 2025

Genome-Anchored Foundation Model Embeddings Improve Molecular Prediction from Histology Images.

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

CoRR, June, 2025

Towards Hierarchical Multi-Step Reward Models for Enhanced Reasoning in Large Language Models.

Teng Wang, Zhangyi Jiang, Zhenqi He, Wenhan Yang, Yanan Zheng, Zeyu Li, Zifan He, Shenyang Tong, Hailei Gong

CoRR, March, 2025

Monolithic 3D FPGAs Utilizing Back-End-of-Line Configuration Memories.

Faaiq G. Waqar, Jiahao Zhang, Anni Lu, Zifan He, Jason Cong, Shimeng Yu

CoRR, January, 2025

HMT: Hierarchical Memory Transformer for Efficient Long Context Language Processing.

Zifan He, Yingqi Cao, Zongyue Qin, Neha Prakriya, Yizhou Sun, Jason Cong

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Optimized Multi-Token Joint Decoding With Auxiliary Model for LLM Inference.

Zongyue Qin, Ziniu Hu, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Automated Design Space Exploration in High-Level Physical Synthesis.

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

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

InTRRA: Inter-Task Resource-Repurposing Accelerator for Efficient Transformer Inference on FPGAs.

Zifan He, Hersh Gupta, Huifeng Ke, Jason Cong

Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2025

NoH: NoC Compilation in High-Level Synthesis.

Huifeng Ke, Sihao Liu, Licheng Guo, Zifan He, Linghao Song, Suhail Basalama, Yuze Chi, Tony Nowatzki, Jason Cong

Proceedings of the 33rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2025

InTAR: Inter-Task Auto-Reconfigurable Accelerator Design for High Data Volume Variation in DNNs.

Zifan He, Anderson Truong, Yingqi Cao, Jason Cong

Proceedings of the 33rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2025

Monolithic 3D FPGA Design and Synthesis with Back-End-of-Line Configuration Memories.

Faaiq G. Waqar, Jiahao Zhang, Anni Lu, Zifan He, Jason Cong, Shimeng Yu

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

Dynamic-Width Speculative Beam Decoding for LLM Inference.

Zongyue Qin, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Dynamic-Width Speculative Beam Decoding for Efficient LLM Inference.

Zongyue Qin, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun

CoRR, 2024

Multi-Token Joint Speculative Decoding for Accelerating Large Language Model Inference.

Zongyue Qin, Ziniu Hu, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun

CoRR, 2024

HMT: Hierarchical Memory Transformer for Long Context Language Processing.

Zifan He, Zongyue Qin, Neha Prakriya, Yizhou Sun, Jason Cong

CoRR, 2024

LevelST: Stream-based Accelerator for Sparse Triangular Solver.

Zifan He, Linghao Song, Robert F. Lucas, Jason Cong

Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2024

2022

Optimization of Assisted Search Over Server-Mediated Peer-to-peer Networks.

Zifan He, Leonard Kleinrock

Proceedings of the IEEE Global Communications Conference, 2022