Hai Li

17 papers A* 1Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2026 — conf
FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model Compression.
EACL (Findings)
Jiayi Tian, Ryan Solgi, Jinming Lu, Yifan Yang, Hai Li, Zheng Zhang
2026 J jnl
Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Jiayi Tian, Jinming Lu, Hai Li, Xiangwei Wang, Cong Callie Hao, Ian A. Young, Zheng Zhang
2025 — conf
16 Arrays of 32 All-to-All Coupled CMOS Oscillators for AI Inference and Combinatorial Optimization.
CICC
Hai Li, James S. Ayers, Anni Lu, You Li, Dmitri E. Nikonov, Yongping Fan, Ian A. Young
2025 J jnl
DeepOHeat-v1: Efficient Operator Learning for Fast and Trustworthy Thermal Simulation and Optimization in 3D-IC Design.
CoRR
Xinling Yu, Ziyue Liu, Hai Li, Yixing Li, Xin Ai, Zhiyu Zeng, Ian A. Young, Zheng Zhang
2025 — conf
Enhanced Operator Learning for Scalable and Ultra-fast Thermal Simulation in 3D-IC Design.
ASP-DAC
Xinling Yu, Ziyue Liu, Hai Li, Ian A. Young, Zheng Zhang
2025 J jnl
FETTA: Flexible and Efficient Hardware Accelerator for Tensorized Neural Network Training.
CoRR
Jinming Lu, Jiayi Tian, Hai Li, Ian A. Young, Zheng Zhang
2025 J jnl
FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model Compression.
CoRR
Jiayi Tian, Ryan Solgi, Jinming Lu, Yifan Yang, Hai Li, Zheng Zhang
2025 J jnl
Poor Man's Training on MCUs: A Memory-Efficient Quantized Back-Propagation-Free Approach.
ACM Trans. Design Autom. Electr. Syst.
Yequan Zhao, Hai Li, Ian A. Young, Zheng Zhang
2025 J jnl
Tensor-Compressed and Fully-Quantized Training of Neural PDE Solvers.
CoRR
Jinming Lu, Jiayi Tian, Yequan Zhao, Hai Li, Zheng Zhang
2025 J jnl
Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization.
CoRR
Jiayi Tian, Jinming Lu, Hai Li, Xiangwei Wang, Cong Hao, Ian A. Young, Zheng Zhang
2024 A* conf
Digital CIM with Noisy SRAM Bit: A Compact Clustered Annealer for Large-Scale Combinatorial Optimization.
DAC
Anni Lu, Junmo Lee, Yuan-Chun Luo, Hai Li, Ian A. Young, Shimeng Yu
2024 J jnl
Poor Man's Training on MCUs: A Memory-Efficient Quantized Back-Propagation-Free Approach.
CoRR
Yequan Zhao, Hai Li, Ian Young, Zheng Zhang
2023 J jnl
Scalable In-Memory Clustered Annealer With Temporal Noise of Charge Trap Transistor for Large Scale Travelling Salesman Problems.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Anni Lu, Jae Hur, Yuan-Chun Luo, Hai Li, Dmitri E. Nikonov, Ian A. Young, Yang-Kyu Choi, Shimeng Yu
2021 J jnl
Gaussian Random Number Generator with Reconfigurable Mean and Variance using Stochastic Magnetic Tunnel Junctions.
CoRR
Punyashloka Debashis, Hai Li, Dmitri E. Nikonov, Ian A. Young
2021 J jnl
Physics-Based Models for Magneto-Electric Spin-Orbit Logic Circuits.
CoRR
Hai Li, Dmitri E. Nikonov, Chia-Ching Lin, Kerem Yunus Çamsari, Yu-Ching Liao, Chia-Sheng Hsu, Azad Naeemi, Ian A. Young
2020 — conf
Reliability Characterization for 12 V Application Using the 22FFL FinFET Technology.
IRPS
Chen-Yi Su, Mark Armstrong, Sunny Chugh, Mohammed El-tanani, Hannes Greve, Hai Li, Mahjabin Maksud, Benjamin Orr, Christopher Perini, James Palmer, Leif Paulson, Stephen Ramey, James Waldemer, Yang Yang, Dave Young
2016 — —
Storage Physics and Noise Mechanism in Heat-Assisted Magnetic Recording.
Hai Li