Zhongzhi Yu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 38

Top Topics

Reinforcement Learning Agents

Intelligent Search

Neural Architecture

Top Venues

Publications

Yongan Zhang, Zhongzhi Yu, Yonggan Fu, Cheng Wan, Yingyan Celine Lin
MG-Verilog: Multi-grained Dataset Towards Enhanced LLM-assisted Verilog Generation. CoRR (2024)
Zhongzhi Yu, Zheng Wang, Yuhan Li, Haoran You, Ruijie Gao, Xiaoya Zhou, Sreenidhi Reedy Bommu, Yang Katie Zhao, Yingyan Celine Lin
EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting. CoRR (2024)
Zheng Wang, Boxiao Jin, Zhongzhi Yu, Minjia Zhang
Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks. CoRR (2024)
Zhongzhi Yu, Zheng Wang, Yonggan Fu, Huihong Shi, Khalid Shaikh, Yingyan Celine Lin
Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration. CoRR (2024)
Haoran You, Zhanyi Sun, Huihong Shi, Zhongzhi Yu, Yang Zhao, Yongan Zhang, Chaojian Li, Baopu Li, Yingyan Lin
ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design. HPCA (2023)
Haoran You, Yang Zhao, Cheng Wan, Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Shang Wu, Shunyao Zhang, Yongan Zhang, Chaojian Li, Vivek Boominathan, Ashok Veeraraghavan, Ziyun Li, Yingyan Celine Lin
EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Hardware Co-Design. IEEE Micro 43 (4) (2023)
Yonggan Fu, Yongan Zhang, Zhongzhi Yu, Sixu Li, Zhifan Ye, Chaojian Li, Cheng Wan, Yingyan Celine Lin
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models. ICCAD (2023)
Zhongzhi Yu, Yang Zhang, Kaizhi Qian, Cheng Wan, Yonggan Fu, Yongan Zhang, Yingyan Celine Lin
Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning. ICML (2023)
Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Haoran You, Yingyan Celine Lin
NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants. DAC (2023)
Zhongzhi Yu, Shang Wu, Yonggan Fu, Shunyao Zhang, Yingyan Celine Lin
Hint-Aug: Drawing Hints from Foundation Vision Transformers towards Boosted Few-shot Parameter-Efficient Tuning. CVPR (2023)
Zhongzhi Yu, Shang Wu, Yonggan Fu, Shunyao Zhang, Yingyan Lin
Hint-Aug: Drawing Hints from Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning. CoRR (2023)
Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Haoran You, Yingyan Lin
NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants. CoRR (2023)
Zhongzhi Yu, Yang Zhang, Kaizhi Qian, Yonggan Fu, Yingyan Lin
Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning. CoRR (2023)
Yonggan Fu, Yongan Zhang, Zhongzhi Yu, Sixu Li, Zhifan Ye, Chaojian Li, Cheng Wan, Yingyan Lin
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models. CoRR (2023)
Haoran You, Cheng Wan, Yang Zhao, Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Shang Wu, Shunyao Zhang, Yongan Zhang, Chaojian Li, Vivek Boominathan, Ashok Veeraraghavan, Ziyun Li, Yingyan Lin
EyeCoD: eye tracking system acceleration via flatcam-based algorithm & accelerator co-design. ISCA (2022)
Zhongzhi Yu, Yonggan Fu, Shang Wu, Mengquan Li, Haoran You, Yingyan Lin
LDP: Learnable Dynamic Precision for Efficient Deep Neural Network Training and Inference. CoRR (2022)
Haoran You, Cheng Wan, Yang Zhao, Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Shang Wu, Shunyao Zhang, Yongan Zhang, Chaojian Li, Vivek Boominathan, Ashok Veeraraghavan, Ziyun Li, Yingyan Lin
EyeCoD: Eye Tracking System Acceleration via FlatCam-based Algorithm & Accelerator Co-Design. CoRR (2022)
Zhongzhi Yu, Yemin Shi
Kernel Quantization for Efficient Network Compression. IEEE Access 10 (2022)
Yonggan Fu, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Jeff Lai, Celine Lin
Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing. NeurIPS (2022)
Zhongzhi Yu, Yonggan Fu, Sicheng Li, Chaojian Li, Yingyan Lin
MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation. AAAI (2022)
Haoran You, Zhanyi Sun, Huihong Shi, Zhongzhi Yu, Yang Zhao, Yongan Zhang, Chaojian Li, Baopu Li, Yingyan Lin
ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design. CoRR (2022)
Yonggan Fu, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Lai, Yingyan Lin
Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing. CoRR (2022)
Gang Yu, Zhongzhi Yu, Yemin Shi, Yingshuo Wang, Xiaoqing Liu, Zheming Li, Yonggen Zhao, Fenglei Sun, Yizhou Yu, Qiang Shu
Identification of pediatric respiratory diseases using a fine-grained diagnosis system. J. Biomed. Informatics 117 (2021)
Mengquan Li, Zhongzhi Yu, Yongan Zhang, Yonggan Fu, Yingyan Lin
O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed. ICCAD (2021)
Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao, Haoran You, Qixuan Yu, Yue Wang, Cong Hao, Yingyan Lin
HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark. ICLR (2021)
Mengquan Li, Zhongzhi Yu, Yongan Zhang, Yonggan Fu, Yingyan Lin
O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed. CoRR (2021)
Gang Yu, Zhongzhi Yu, Yemin Shi, Yingshuo Wang, Xiaoqing Liu, Zheming Li, Yonggen Zhao, Fenglei Sun, Yizhou Yu, Qiang Shu
Identification of Pediatric Respiratory Diseases Using Fine-grained Diagnosis System. CoRR (2021)
Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin
InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks. CoRR (2021)
Yonggan Fu, Yongan Zhang, Chaojian Li, Zhongzhi Yu, Yingyan Lin
A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning. CoRR (2021)
Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin
InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks. DAC (2021)
Yonggan Fu, Yongan Zhang, Chaojian Li, Zhongzhi Yu, Yingyan Lin
A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning. DAC (2021)
Zhongzhi Yu, Yonggan Fu, Sicheng Li, Chaojian Li, Yingyan Lin
MIA-Former: Efficient and Robust Vision Transformers via Multi-grained Input-Adaptation. CoRR (2021)
Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao, Haoran You, Qixuan Yu, Yue Wang, Yingyan Lin
HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark. CoRR (2021)
Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yingyan Lin
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search. CoRR (2020)
Zhongzhi Yu, Yemin Shi, Tiejun Huang, Yizhou Yu
Kernel Quantization for Efficient Network Compression. CoRR (2020)
Qiang Ning, Zhongzhi Yu, Chuchu Fan, Dan Roth
Exploiting Partially Annotated Data in Temporal Relation Extraction. *SEM@NAACL-HLT (2018)
Qiang Ning, Zhongzhi Yu, Chuchu Fan, Dan Roth
Exploiting Partially Annotated Data for Temporal Relation Extraction. CoRR (2018)
Zachary John Estrada, Read Sprabery, Lok K. Yan, Zhongzhi Yu, Roy H. Campbell, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
Using OS Design Patterns to Provide Reliability and Security as-a-Service for VM-based Clouds. VEE (2017)