Using OS Design Patterns to Provide Reliability and Security as-a-Service for VM-based Clouds. - Zachary John Estrada; Read Sprabery; Lok K. Yan; Zhongzhi Yu; Roy H. Campbell; Zbigniew T. Kalbarczyk; Ravishankar K. Iyer (VEE, 2017)

Exploiting Partially Annotated Data in Temporal Relation Extraction. - Qiang Ning; Zhongzhi Yu; Chuchu Fan; Dan Roth 001 (*SEM@NAACL-HLT, 2018)

Kernel Quantization for Efficient Network Compression. - Zhongzhi Yu; Yemin Shi 001; Tiejun Huang 001; Yizhou Yu (CoRR, 2020)

Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search. - Yonggan Fu; Zhongzhi Yu; Yongan Zhang; Yingyan Lin (CoRR, 2020)

InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks. - Yonggan Fu; Zhongzhi Yu; Yongan Zhang; Yifan Jiang 001; Chaojian Li; Yongyuan Liang; Mingchao Jiang; Zhangyang Wang; Yingyan Lin (DAC, 2021)

A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning. - Yonggan Fu; Yongan Zhang; Chaojian Li; Zhongzhi Yu; Yingyan Lin (DAC, 2021)

O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed. - Mengquan Li; Zhongzhi Yu; Yongan Zhang; Yonggan Fu; Yingyan Lin (ICCAD, 2021)

HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark. - Chaojian Li; Zhongzhi Yu; Yonggan Fu; Yongan Zhang; Yang Zhao 013; Haoran You; Qixuan Yu 001; Yue Wang 036; Cong Hao; Yingyan Lin (ICLR, 2021)

HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark. - Chaojian Li; Zhongzhi Yu; Yonggan Fu; Yongan Zhang; Yang Zhao 013; Haoran You; Qixuan Yu 001; Yue Wang 036; Yingyan Lin (CoRR, 2021)

Identification of pediatric respiratory diseases using a fine-grained diagnosis system. - Gang Yu; Zhongzhi Yu; Yemin Shi 001; Yingshuo Wang; Xiaoqing Liu; Zheming Li; Yonggen Zhao; Fenglei Sun; Yizhou Yu; Qiang Shu (J. Biomed. Informatics, 2021)

MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation. - Zhongzhi Yu; Yonggan Fu; Sicheng Li 001; Chaojian Li; Yingyan Lin (AAAI, 2022)

EyeCoD: eye tracking system acceleration via flatcam-based algorithm & accelerator co-design. - Haoran You; Cheng Wan 005; Yang Zhao 013; Zhongzhi Yu; Yonggan Fu; Jiayi Yuan 001; Shang Wu 003; Shunyao Zhang; Yongan Zhang; Chaojian Li; Vivek Boominathan; Ashok Veeraraghavan; et al. (ISCA, 2022)

Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing. - Yonggan Fu; Yang Zhang 001; Kaizhi Qian; Zhifan Ye; Zhongzhi Yu; Cheng-I Jeff Lai; Celine Lin (NeurIPS, 2022)

Kernel Quantization for Efficient Network Compression. - Zhongzhi Yu; Yemin Shi 001 (IEEE Access, 2022)

LDP: Learnable Dynamic Precision for Efficient Deep Neural Network Training and Inference. - Zhongzhi Yu; Yonggan Fu; Shang Wu 003; Mengquan Li; Haoran You; Yingyan Lin (CoRR, 2022)

Hint-Aug: Drawing Hints from Foundation Vision Transformers towards Boosted Few-shot Parameter-Efficient Tuning. - Zhongzhi Yu; Shang Wu 003; Yonggan Fu; Shunyao Zhang; Yingyan Celine Lin (CVPR, 2023)

NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants. - Zhongzhi Yu; Yonggan Fu; Jiayi Yuan 001; Haoran You; Yingyan Celine Lin (DAC, 2023)

ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design. - Haoran You; Zhanyi Sun; Huihong Shi; Zhongzhi Yu; Yang Zhao 013; Yongan Zhang; Chaojian Li; Baopu Li; Yingyan Lin (HPCA, 2023)

GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models. - Yonggan Fu; Yongan Zhang; Zhongzhi Yu; Sixu Li; Zhifan Ye; Chaojian Li; Cheng Wan 005; Yingyan Celine Lin (ICCAD, 2023)

Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning. - Zhongzhi Yu; Yang Zhang 001; Kaizhi Qian; Cheng Wan 005; Yonggan Fu; Yongan Zhang; Yingyan Celine Lin (ICML, 2023)

Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning. - Zhongzhi Yu; Yang Zhang 001; Kaizhi Qian; Yonggan Fu; Yingyan Lin (CoRR, 2023)

EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Hardware Co-Design. - Haoran You; Yang Zhao 013; Cheng Wan 005; Zhongzhi Yu; Yonggan Fu; Jiayi Yuan 001; Shang Wu 003; Shunyao Zhang; Yongan Zhang; Chaojian Li; Vivek Boominathan; Ashok Veeraraghavan; et al. (IEEE Micro, 2023)

EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Unified Compression and Adaptive Layer Voting. - Zhongzhi Yu; Zheng Wang; Yuhan Li; Ruijie Gao; Xiaoya Zhou; Sreenidhi Reddy Bommu; Yang Katie Zhao; Yingyan (Celine) Lin (DAC, 2024)

Invited Paper: LLM4HWDesign Contest: Constructing a Comprehensive Dataset for LLM-Assisted Hardware Code Generation with Community Efforts. - Zhongzhi Yu; Chaojian Li; Yongan Zhang; Mingjie Liu; Nathaniel Ross Pinckney; Wenfei Zhou; Haoyu Yang; Rongjian Liang; Haoxing Ren; Yingyan Celine Lin (ICCAD, 2024)

Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration. - Zhongzhi Yu; Zheng Wang; Yonggan Fu; Huihong Shi; Khalid Shaikh 002; Yingyan Celine Lin (ICML, 2024)

AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment. - Yonggan Fu; Zhongzhi Yu; Junwei Li; Jiayi Qian; Yongan Zhang; Xiangchi Yuan; Dachuan Shi; Roman Yakunin; Yingyan (Celine) Lin (NeurIPS, 2024)

EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting. - Zhongzhi Yu; Zheng Wang; Yuhan Li; Haoran You; Ruijie Gao; Xiaoya Zhou; Sreenidhi Reddy Bommu; Yang Katie Zhao; Yingyan Celine Lin (CoRR, 2024)

MG-Verilog: Multi-grained Dataset Towards Enhanced LLM-assisted Verilog Generation. - Yongan Zhang; Zhongzhi Yu; Yonggan Fu; Cheng Wan 005; Yingyan Celine Lin (CoRR, 2024)

Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks. - Zheng Wang; Boxiao Jin; Zhongzhi Yu; Minjia Zhang (CoRR, 2024)

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation. - Chenhui Deng; Yun-Da Tsai; Guan-Ting Liu; Zhongzhi Yu; Haoxing Ren (CoRR, 2025)

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems. - Zhongzhi Yu; Mingjie Liu; Michael Zimmer 006; Yingyan Celine Lin; Yong Liu; Haoxing Ren (CoRR, 2025)

LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models. - Dachuan Shi; Yonggan Fu; Xiangchi Yuan; Zhongzhi Yu; Haoran You; Sixu Li; Xin Dong 009; Jan Kautz; Pavlo Molchanov 001; Yingyan Lin (CoRR, 2025)