Kaiyan Chang

According to our database, Kaiyan Chang authored at least 15 papers between 2020 and 2025.

Collaborative distances:

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

2025

One Size Does Not Fit All: A Distribution-Aware Sparsification for More Precise Model Merging.

Yingfeng Luo, Dingyang Lin, Junxin Wang, Ziqiang Xu, Kaiyan Chang, Tong Zheng, Bei Li, Anxiang Ma, Tong Xiao, Zhengtao Yu, Jingbo Zhu

CoRR, August, 2025

Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models.

Kaiyan Chang, Yonghao Shi, Chenglong Wang, Hang Zhou, Chi Hu, Xiaoqian Liu, Yingfeng Luo, Yuan Ge, Tong Xiao, Jingbo Zhu

CoRR, July, 2025

ChipSeek-R1: Generating Human-Surpassing RTL with LLM via Hierarchical Reward-Driven Reinforcement Learning.

Zhirong Chen, Kaiyan Chang, Zhuolin Li, Xinyang He, Chujie Chen, Cangyuan Li, Mengdi Wang, Haobo Xu, Yinhe Han, Ying Wang

CoRR, July, 2025

Large Processor Chip Model.

Kaiyan Chang, Mingzhi Chen, Yunji Chen, Zhirong Chen, Dongrui Fan, Junfeng Gong, Nan Guo, Yinhe Han, Qinfen Hao, Shuo Hou, Xuanjing Huang, Pengwei Jin, Changxin Ke, Cangyuan Li, Guangli Li, Huawei Li, Kuan Li, Naipeng Li, Shengwen Liang, Cheng Liu, Hongwei Liu, Jiahua Liu, Junliang Lv, Jianan Mu, Jin Qin, Bin Sun, Chenxi Wang, Duo Wang, Mingjun Wang, Ying Wang, Chenggang Wu, Peiyang Wu, Teng Wu, Xiao Xiao, Mengyao Xie, Chenwei Xiong, Ruiyuan Xu, Mingyu Yan, Xiaochun Ye, Kuai Yu, Rui Zhang, Shuoming Zhang, Jiacheng Zhao

CoRR, June, 2025

RTLMarker: Protecting LLM-Generated RTL Copyright via a Hardware Watermarking Framework.

Kun Wang, Kaiyan Chang, Mengdi Wang, Xinqi Zou, Haobo Xu, Yinhe Han, Ying Wang

CoRR, January, 2025

RTLMarker: Protecting LLM-Generated RTL Copyright via a Hardware Watermarking Framework.

Kun Wang, Kaiyan Chang, Mengdi Wang, Xingqi Zou, Haobo Xu, Yinhe Han, Ying Wang

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024

Efficient Prompting Methods for Large Language Models: A Survey.

Kaiyan Chang, Songcheng Xu, Chenglong Wang, Yingfeng Luo, Tong Xiao, Jingbo Zhu

CoRR, 2024

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

Kaiyan Chang, Zhirong Chen, Yunhao Zhou, Wenlong Zhu, Kun Wang, Haobo Xu, Cangyuan Li, Mengdi Wang, Shengwen Liang, Huawei Li, Yinhe Han, Ying Wang

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

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

Kaiyan Chang, Kun Wang, Nan Yang, Ying Wang, Dantong Jin, Wenlong Zhu, Zhirong Chen, Cangyuan Li, Hao Yan, Yunhao Zhou, Zhuoliang Zhao, Yuan Cheng, Yudong Pan, Yiqi Liu, Mengdi Wang, Shengwen Liang, Yinhe Han, Huawei Li, Xiaowei Li

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Hybrid Alignment Training for Large Language Models.

Chenglong Wang, Hang Zhou, Kaiyan Chang, Bei Li, Yongyu Mu, Tong Xiao, Tongran Liu, JingBo Zhu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Learning Evaluation Models from Large Language Models for Sequence Generation.

Chenglong Wang, Hang Zhou, Kaiyan Chang, Tongran Liu, Chunliang Zhang, Quan Du, Tong Xiao, Jingbo Zhu

CoRR, 2023

ChipGPT: How far are we from natural language hardware design.

Kaiyan Chang, Ying Wang, Haimeng Ren, Mengdi Wang, Shengwen Liang, Yinhe Han, Huawei Li, Xiaowei Li

CoRR, 2023

Full State Quantum Circuit Simulation Beyond Memory Limit.

Yilun Zhao, Yu Chen, He Li, Ying Wang, Kaiyan Chang, Bingmeng Wang, Bing Li, Yinhe Han

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

2021

ArchNet: A data hiding design for distributed machine learning systems.

Kaiyan Chang, Wei Jiang, Jinyu Zhan, Zicheng Gong, Weijia Pan

J. Syst. Archit., 2021

2020

ArchNet: Data Hiding Model in Distributed Machine Learning System.

Kaiyan Chang, Wei Jiang, Zicheng Gong, Xiangyu Wen, Zhiyuan He, Weijia Pan

CoRR, 2020