Zhongzhi Yu

Most-cited papers

ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design
Hao-Ran You, Zhanyi Sun, Huihong Shi, Zhongzhi Yu +5 more
2022International Symposium on High-Performance Computer Architecture168 citations Open access
Semantic Scholar
HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark
Chao-Jian Li, Zhongzhi Yu, Yonggan Fu, Yong-An Zhang +6 more
2021International Conference on Learning Representations146 citations
Semantic Scholar
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models
Yonggan Fu, Yong-An Zhang, Zhongzhi Yu, Sixu Li +4 more
20232023 IEEE/ACM International Conference on Computer Aided Design (ICCAD)143 citations Open access
Semantic Scholar
Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration
Zhongzhi Yu, Zheng Wang, Yonggan Fu, Huihong Shi +2 more
2024International Conference on Machine Learning89 citations
Semantic Scholar
MG-Verilog: Multi-grained Dataset Towards Enhanced LLM-assisted Verilog Generation
Yong-An Zhang, Zhongzhi Yu, Yonggan Fu, Cheng Wan +1 more
20242024 IEEE LLM Aided Design Workshop (LAD)81 citations Open access
Semantic Scholar
MIA-Former: Efficient and Robust Vision Transformers via Multi-grained Input-Adaptation
Zhongzhi Yu, Y. Fu, Sicheng Li, Chao-Jian Li +1 more
2021AAAI Conference on Artificial Intelligence22 citations Open access
Semantic Scholar
Identification of pediatric respiratory diseases using a fine-grained diagnosis system
Gang Yu, Zhongzhi Yu, Yemin Shi, Ying-Shuo Wang +6 more
2021Journal of Biomedical Informatics21 citations Open access
Semantic Scholar
Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning
Zhongzhi Yu, Yang Zhang, Kai-Zhi Qian, Cheng Wan +3 more
2023International Conference on Machine Learning20 citations Open access
Semantic Scholar
LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models
Dachuan Shi, Yong-Gan Fu, Xiangchi Yuan, Zhongzhi Yu +6 more
2025International Conference on Machine Learning15 citations
Semantic Scholar
AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment
Yonggan Fu, Zhongzhi Yu, Junwei Li, Jiayi Qian +5 more
2024Neural Information Processing Systems15 citations
Semantic Scholar
EyeCoD: eye tracking system acceleration via flatcam-based algorithm & accelerator co-design
Hao-Ran You, Cheng Wan, Yang Zhao, Zhongzhi Yu +10 more
2022International Symposium on Computer Architecture14 citations Open access
Semantic Scholar
O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed
Meng-Quan Li, Zhongzhi Yu, Yong-An Zhang, Yonggan Fu +1 more
20212021 IEEE/ACM International Conference On Computer Aided Design (ICCAD)14 citations Open access
Semantic Scholar
Hint-Aug: Drawing Hints from Foundation Vision Transformers towards Boosted Few-shot Parameter-Efficient Tuning
Zhongzhi Yu, Shang Wu, Y. Fu, Shun-Yao Zhang +1 more
2023Computer Vision and Pattern Recognition12 citations Open access
Semantic Scholar
Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing
Yonggan Fu, Yang Zhang, Kai-Zhi Qian, Zhi-Fan Ye +3 more
2022Neural Information Processing Systems10 citations Open access
Semantic Scholar
Exploiting Partially Annotated Data in Temporal Relation Extraction
Qiang Ning, Zhongzhi Yu, Chuchu Fan, Dan Roth
2018International Workshop on Semantic Evaluation10 citations Open access
Semantic Scholar
EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Hardware Co-Design
Hao-Ran You, Yang Zhao, Cheng Wan, Zhongzhi Yu +10 more
2023IEEE Micro9 citations
Semantic Scholar
InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks
Yonggan Fu, Zhongzhi Yu, Yong-An Zhang, Yi-Fan Jiang +5 more
2021Design Automation Conference7 citations Open access
Semantic Scholar
A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning
Yonggan Fu, Yong-An Zhang, Chao-Jian Li, Zhongzhi Yu +1 more
2021Design Automation Conference7 citations Open access
Semantic Scholar
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
Y. Fu, Zhongzhi Yu, Yong-An Zhang, Yingyan Lin
2020arXiv.org6 citations
Semantic Scholar
Kernel Quantization for Efficient Network Compression
Zhongzhi Yu, Yemin Shi, Tie-Jun Huang, Yi-Zhou Yu
2020IEEE Access5 citations Open access
Semantic Scholar
Centralized Space Learning for open-set computer-aided diagnosis
Zhongzhi Yu, Yemin Shi
2023Scientific Reports3 citations Open access
Semantic Scholar
LDP: Learnable Dynamic Precision for Efficient Deep Neural Network Training and Inference
Zhongzhi Yu, Y. Fu, Shang Wu, Meng-Quan Li +2 more
2022arXiv.org3 citations Open access
Semantic Scholar
NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants
Zhongzhi Yu, Y. Fu, Jiayi Yuan, Hao-Ran You +1 more
2023Design Automation Conference2 citations Open access
Semantic Scholar
Using OS Design Patterns to Provide Reliability and Security as-a-Service for VM-based Clouds
Zachary Estrada, Read Sprabery, Lok K. Yan, Zhongzhi Yu +3 more
2017International Conference on Virtual Execution Environments0 citations
Semantic Scholar