NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (69)

cs.AR2023

MEC: An Open-source Fine-grained Mapping Equivalence Checking Tool for FPGA

Liwei Ni, Zonglin Yang, Jiaxi Zhang +6

cs.RO2026

Realtime-VLA FLASH: Speculative Inference Framework for Diffusion-based VLAs

Jiahui Niu, Kefan Gu, Yucheng Zhao +5

cs.PF2025

DRIM-ANN: An Approximate Nearest Neighbor Search Engine based on Commercial DRAM-PIMs

Mingkai Chen, Tianhua Han, Cheng Liu +8

cs.AR2026

Rtl2lean: Automated RTL-to-Lean Translation with Hierarchical Theorem Generation and Lemma Reuse

Hongqin Lyu, Junxing Dong, Yonghao Wang +3

cs.AR2025

BoolSkeleton: Boolean Network Skeletonization via Homogeneous Pattern Reduction

Liwei Ni, Jiaxi Zhang, Shenggen Zheng +5

cs.AR2025

LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow

Kaiyan Chang, Wenlong Zhu, Shengwen Liang +2

cs.AR2024

Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework

Kaiyan Chang, Kun Wang, Nan Yang +16

cs.PF2026

ANNS-AMP: Accelerating Approximate Nearest Neighbor Search via Adaptive Mixed-Precision Computing

Mingkai Chen, Cheng Liu, Shengwen Liang +3

cs.AR2024

MCU-MixQ: A HW/SW Co-optimized Mixed-precision Neural Network Design Framework for MCUs

Junfeng Gong, Cheng Liu, Long Cheng +2

cs.AR2025

Think with Self-Decoupling and Self-Verification: Automated RTL Design with Backtrack-ToT

Zhiteng Chao, Yonghao Wang, Xinyu Zhang +9

cs.AR2026

Understanding and Mitigating Errors of LLM-Generated RTL Code

Jiazheng Zhang, Cheng Liu, Long Cheng +2

cs.AR2025

AssertMiner: Module-Level Spec Generation and Assertion Mining using Static Analysis Guided LLMs

Hongqin Lyu, Yonghao Wang, Jiaxin Zhou +3

cs.AR2024

A Fully Hardware Implemented Accelerator Design in ReRAM Analog Computing without ADCs

Peng Dang, Huawei Li, Wei Wang

cs.AI2026

ChipSeek: Optimizing Verilog Generation via EDA-Integrated Reinforcement Learning

Zhirong Chen, Kaiyan Chang, Zhuolin Li +8

cs.AR2023

Cross-Layer Optimization for Fault-Tolerant Deep Learning

Qing Zhang, Cheng Liu, Bo Liu +4

cs.AR2024

Natural language is not enough: Benchmarking multi-modal generative AI for Verilog generation

Kaiyan Chang, Zhirong Chen, Yunhao Zhou +9

cs.DC2020

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks

Shengwen Liang, Ying Wang, Cheng Liu +3

cs.AI2025

ChipGPT: How far are we from natural language hardware design

Kaiyan Chang, Ying Wang, Haimeng Ren +5

cs.AR2023

iEDA: An Open-Source Intelligent Physical Implementation Toolkit and Library

Xingquan Li, Simin Tao, Zengrong Huang +53

cs.LG2025

ParaGate: Parasitic-Driven Domain Adaptation Transfer Learning for Netlist Performance Prediction

Bin Sun, Jingyi Zhou, Jianan Mu +5

cs.AR2026

Iterative LLM-Based Assertion Generation Using Syntax-Semantic Representations for Functional Coverage-Guided Verification

Yonghao Wang, Jiaxin Zhou, Yang Yin +6

cs.AR2025

Analysis of LLM Vulnerability to GPU Soft Errors: An Instruction-Level Fault Injection Study

Duo Chai, Zizhen Liu, Shuhuai Wang +4

cs.AR2024

IICPilot: An Intelligent Integrated Circuit Backend Design Framework Using Open EDA

Zesong Jiang, Qing Zhang, Cheng Liu +3

cs.AR2021

Energy-Efficient Accelerator Design for Deformable Convolution Networks

Dawen Xu, Cheng Chu, Cheng Liu +4

cs.AR2023

DeepBurning-MixQ: An Open Source Mixed-Precision Neural Network Accelerator Design Framework for FPGAs

Erjing Luo, Haitong Huang, Cheng Liu +5

cs.AR2026

FT-Pilot: Automated Fault-Tolerant RTL Rewriting via Vulnerability-Guided LLMs

Weixing Liu, Zizhen Liu, Jing Ye +4

cs.LG2023

MRFI: An Open Source Multi-Resolution Fault Injection Framework for Neural Network Processing

Haitong Huang, Cheng Liu, Bo Liu +3

cs.AR2021

R2F: A Remote Retraining Framework for AIoT Processors with Computing Errors

Dawen Xu, Meng He, Cheng Liu +5

cs.IT2019

HTDet: A Clustering Method using Information Entropy for Hardware Trojan Detection

Renjie Lu, Haihua Shen, Feng Zhang +3

cs.AR2022

Fault-Tolerant Deep Learning: A Hierarchical Perspective

Cheng Liu, Zhen Gao, Siting Liu +3

cs.AR2026

VeriPilot: An LLM-Powered Verilog Debugging Framework

Yihan Wang, Cheng Liu, Jiazheng Zhang +4

cs.AR2025

Extend IVerilog to Support Batch RTL Fault Simulation

Jiaping Tang, Jianan Mu, Zizhen Liu +3

cs.CR2022

SASH: Efficient Secure Aggregation Based on SHPRG For Federated Learning

Zizhen Liu, Si Chen, Jing Ye +3

cs.AR2025

Large Processor Chip Model

Kaiyan Chang, Mingzhi Chen, Yunji Chen +40

cs.LG2023

Exploring Winograd Convolution for Cost-effective Neural Network Fault Tolerance

Xinghua Xue, Cheng Liu, Bo Liu +6

cs.AR2021

HyCA: A Hybrid Computing Architecture for Fault Tolerant Deep Learning

Cheng Liu, Cheng Chu, Dawen Xu +5

cs.LG2024

Boolean-aware Boolean Circuit Classification: A Comprehensive Study on Graph Neural Network

Liwei Ni, Xinquan Li, Biwei Xie +1

cs.AR2026

From Indiscriminate to Targeted: Efficient RTL Verification via Functionally Key Signal-Driven LLM Assertion Generation

Yonghao Wang, Hongqin Lyu, Boling Chen +8

cs.AR2026

RTLSeek: Boosting the LLM-Based RTL Generation with Multi-Stage Diversity-Oriented Reinforcement Learning

Xinyu Zhang, Zhiteng Chao, Yonghao Wang +6

cs.AR2026

Pecker: Bug Localization Framework for Sequential Designs via Causal Chain Reconstruction

Jiaping Tang, Jianan Mu, Tianyun Ma +3

cs.AR2021

Taming Process Variations in CNFET for Efficient Last Level Cache Design

Dawen Xu, Zhuangyu Feng, Cheng Liu +5

cs.AR2024

ApproxPilot: A GNN-based Accelerator Approximation Framework

Qing Zhang, Cheng Liu, Siting Liu +3

cs.LG2023

Fast Exact NPN Classification with Influence-aided Canonical Form

Yonghe Zhang, Liwei Ni, Jiaxi Zhang +3

cs.AR2025

RIROS: A Parallel RTL Fault SImulation FRamework with TwO-Dimensional Parallelism and Unified Schedule

Jiaping Tang, Jianan Mu, Zizhen Liu +6

cs.AI2026

Arcane: An Assertion Reduction Framework through Semantic Clustering and MCTS-Guided Rule Exploring

Hongqin Lyu, Yonghao Wang, Zhiteng Chao +2

cs.AR2025

ERASER: Efficient RTL FAult Simulation Framework with Trimmed Execution Redundancy

Jiaping Tang, Jianan Mu, Silin Liu +8

cs.CC2023

Rethinking NPN Classification from Face and Point Characteristics of Boolean Functions

Jiaxi Zhang, Shenggen Zheng, Liwei Ni +2

cs.AI2024

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis

Liwei Ni, Rui Wang, Miao Liu +10

cs.AR2026

From Buffers to Registers: Unlocking Fine-Grained FlashAttention with Hybrid-Bonded 3D NPU Co-Design

Jinxin Yu, Yudong Pan, Mengdi Wang +4

cs.AR2026

Lifecycle Cost-Effectiveness Modeling for Redundancy-Enhanced Multi-Chiplet Architectures

Zizhen Liu, Fangzhiyi Wang, Mengdi Wang +4

cs.AR2025

DeepAssert: An LLM-Aided Verification Framework with Fine-Grained Assertion Generation for Modules with Extracted Module Specifications

Yonghao Wang, Jiaxin Zhou, Hongqin Lyu +3

cs.CR2022

DHSA: Efficient Doubly Homomorphic Secure Aggregation for Cross-silo Federated Learning

Zizhen Liu, Si Chen, Jing Ye +3

cs.AR2026

CoverAssert: Iterative LLM Assertion Generation Driven by Functional Coverage via Syntax-Semantic Representations

Yonghao Wang, Yang Yin, Hongqin Lyu +8

cs.LG2022

Statistical Modeling of Soft Error Influence on Neural Networks

Haitong Huang, Xinghua Xue, Cheng Liu +5

cs.AR2024

SigDLA: A Deep Learning Accelerator Extension for Signal Processing

Fangfa Fu, Wenyu Zhang, Zesong Jiang +8

cs.AR2025

AssertGen: Enhancement of LLM-aided Assertion Generation through Cross-Layer Signal Bridging

Hongqin Lyu, Yonghao Wang, Yunlin Du +5

cs.AR2026

An Efficient Fault-Tolerance Scheme for CKKS Computation on CPUs

Jianan Mu, Ge Yu, Tenghui Hua +6

cs.CR2023

SPFL: A Self-purified Federated Learning Method Against Poisoning Attacks

Zizhen Liu, Weiyang He, Chip-Hong Chang +3

cs.SE2025

Faver: Boosting LLM-based RTL Generation with Function Abstracted Verifiable Middleware

Jianan Mu, Mingyu Shi, Yining Wang +5

cs.AR2024

Graphitron: A Domain Specific Language for FPGA-based Graph Processing Accelerator Generation

Xinmiao Zhang, Zheng Feng, Shengwen Liang +4

cs.AR2025

AssertFix: Empowering Automated Assertion Fix via Large Language Models

Hongqin Lyu, Yunlin Du, Yonghao Wang +3

cs.AR2024

HLSPilot: LLM-based High-Level Synthesis

Chenwei Xiong, Cheng Liu, Huawei Li +1

cs.LG2025

From Large to Small: Transferring CUDA Optimization Expertise via Reasoning Graph

Junfeng Gong, Zhiyi Wei, Junying Chen +2

cs.AR2025

InF-ATPG: Intelligent FFR-Driven ATPG with Advanced Circuit Representation Guided Reinforcement Learning

Bin Sun, Rengang Zhang, Zhiteng Chao +4

cs.AR2026

Harvesting AI Computation at the Edge via Generic Approximation

Yihan Wang, Huiru Yan, Luxin Zhang +6

cs.AI2023

Adaptive Reconvergence-driven AIG Rewriting via Strategy Learning

Liwei Ni, Zonglin Yang, Jiaxi Zhang +4

cs.CR2024

Soft Error Reliability Analysis of Vision Transformers

Xinghua Xue, Cheng Liu, Ying Wang +5

cs.CR2026

On the Vulnerability of FHE Computation to Silent Data Corruption

Jianan Mu, Ge Yu, Zhaoxuan Kan +6

cs.AR2025

PAPI: Exploiting Dynamic Parallelism in Large Language Model Decoding with a Processing-In-Memory-Enabled Computing System

Yintao He, Haiyu Mao, Christina Giannoula +6