About Me
Hi! I am a second year master student of Computer Science at Institute of Computing Technology, Chinese Academy of Sciences, China. I’m fortunately supervised by Prof. Ying Wang. Previously I got my bachelor degree at Zhejiang University and UIUC in 2024. My research interest is in LLM for hardware design right now, feel free to check our models in huggingface.
I interned at Moonshot AI in 2026 Spring, focusing on post-training for coding. Before that, I spent a wonderful spring at TikTok in 2024, working on recommendation system refactoring and bringing engineering and business metrics improvement to multiple TikTok apps.
Publication
[Pub1] Kimi K2.5: Visual Agentic Intelligence. Technical Report, Main Contributor
[Pub2] Zhirong Chen, Kaiyan Chang, Zhuolin Li, Cangyuan Li, Xinyang He, Chujie Chen, Mengdi Wang, Haobo Xu, Yinhe Han, Huawei Li, Ying Wang. ChipSeek: Optimizing Verilog Generation via EDA-Integrated Reinforcement Learning. ACL 2026 Main Conference
[Pub3] Kaiyan Chang*, Mingzhi Chen*, Yunji Chen*, Zhirong Chen*, et al. Large Processor Chip Model. SCIENCE CHINA Information Sciences (* Equal Contribution)
[Pub4] Kaiyan Chang, Yiming Gan, Wenlong Zhu, Kun Wang, Zhirong Chen, Yuan Cheng, Yinhe Han, Huawei Li, Ying Wang. ScaleGS: Closing the Gap between Real-time 3D Gaussian Splatting and Real-time XR Rendering. TACO
[Pub5] Yudong Pan, Yintao He, Tianhua Han, Lian Liu, Shixin Zhao, Zhirong Chen, Mengdi Wang, Cangyuan Li, Yinhe Han, Ying Wang. TriMoE: Augmenting GPU with AMX-Enabled CPU and DIMM-NDP for High-Throughput MoE Inference via Offloading. DAC 2026
[Pub6] Zhirong Chen, Caleb Ellington, Eric Xing, Haohan Wang. Heteroscedastic Personalized Regression Unveils Genetic Basis of Alzheimer’s Disease Stratified by Cognitive Level. BioRxiv
[Pub7] 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 and Xiaowei Li. Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework. DAC 2024
[Pub8] Kaiyan Chang, Zhirong Chen, Yunhao Zhou, Wenlong Zhu, Kun Wang, Haobo Xu, Cangyuan Li, Mengdi Wang, Shengwen Liang, Huawei Li, Yinhe Han and Ying Wang. Natural language is not enough: Benchmarking multi-modal generative AI for Verilog generation. ICCAD 2024
[Pub9] Kaiyan Chang, Wenlong Zhu, Kun Wang, Xinyang He, Nan Yang, Zhirong Chen, Dantong Jin, Cangyuan Li, Yunhao Zhou, Hao Yan, Zhuoliang Zhao, Yuan Cheng, Mengdi Wang, Shengwen Liang, Yinhe Han, Xiaowei Li, Huawei Li, Ying Wang. A data-centric chip design agent framework for Verilog code generation. TODAES
Honors
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Graduate at UIUC with Highest Honors (2024)
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Outstanding Graduate in Zhejiang Province (2024)
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Yunni and Maxine Pao Memorial Scholarship from UIUC, $3000 (2023)
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Zhejiang University Scholarship - First Prize $\times$ 3 (2021, 2022, 2023)
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Scholarship from the government of Zhejiang Province $\times$ 3 (2021, 2022, 2023)
Competitions
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Finalist (Top 1%) in 2022 MCM (International Mathematical Contest In Modeling)
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First Prize (Top 5%) in 2022 CMC (Chinese Mathematics Competition)