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ORCIDZhongzhi Yu
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2020 – today
- 2024
[c15]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. ICML 2024- [i21]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 abs/2406.15758 (2024) - [i20]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 abs/2406.15765 (2024) - [i19]Yongan Zhang, Zhongzhi Yu, Yonggan Fu, Cheng Wan, Yingyan Celine Lin:
MG-Verilog: Multi-grained Dataset Towards Enhanced LLM-assisted Verilog Generation. CoRR abs/2407.01910 (2024) - [i18]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 abs/2407.08454 (2024) - 2023
- [j3]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): 88-97 (2023) - [c14]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: 11102-11112 - [c13]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: 1-6 - [c12]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: 273-286 - [c11]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: 1-9 - [c10]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: 40475-40487 - [i17]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 abs/2304.12520 (2023) - [i16]Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Haoran You, Yingyan Lin:
NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants. CoRR abs/2306.13586 (2023) - [i15]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 abs/2306.15686 (2023) - [i14]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 abs/2309.10730 (2023) - 2022
- [j2]Zhongzhi Yu, Yemin Shi:
Kernel Quantization for Efficient Network Compression. IEEE Access 10: 4063-4071 (2022) - [c9]Zhongzhi Yu, Yonggan Fu, Sicheng Li, Chaojian Li, Yingyan Lin:
MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation. AAAI 2022: 8962-8970 - [c8]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: 610-622 - [c7]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 - [i13]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 abs/2203.07713 (2022) - [i12]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 abs/2206.00877 (2022) - [i11]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 abs/2210.09573 (2022) - [i10]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 abs/2211.01522 (2022) - 2021
- [j1]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: 103754 (2021) - [c6]Yonggan Fu, Yongan Zhang, Chaojian Li, Zhongzhi Yu, Yingyan Lin:
A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning. DAC 2021: 13-18 - [c5]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: 757-762 - [c4]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: 1-9 - [c3]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 - [i9]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 abs/2103.10584 (2021) - [i8]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 abs/2104.10853 (2021) - [i7]Yonggan Fu, Yongan Zhang, Chaojian Li, Zhongzhi Yu, Yingyan Lin:
A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning. CoRR abs/2106.06577 (2021) - [i6]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 abs/2108.07538 (2021) - [i5]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 abs/2108.10818 (2021) - [i4]Zhongzhi Yu, Yonggan Fu, Sicheng Li, Chaojian Li, Yingyan Lin:
MIA-Former: Efficient and Robust Vision Transformers via Multi-grained Input-Adaptation. CoRR abs/2112.11542 (2021) - 2020
- [i3]Zhongzhi Yu, Yemin Shi, Tiejun Huang, Yizhou Yu:
Kernel Quantization for Efficient Network Compression. CoRR abs/2003.05148 (2020) - [i2]Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yingyan Lin:
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search. CoRR abs/2012.13091 (2020)
2010 – 2019
- 2018
- [c2]Qiang Ning, Zhongzhi Yu, Chuchu Fan, Dan Roth:
Exploiting Partially Annotated Data in Temporal Relation Extraction. *SEM@NAACL-HLT 2018: 148-153 - [i1]Qiang Ning, Zhongzhi Yu, Chuchu Fan, Dan Roth:
Exploiting Partially Annotated Data for Temporal Relation Extraction. CoRR abs/1804.08420 (2018) - 2017
- [c1]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: 157-170
Coauthor Index
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last updated on 2024-09-04 01:24 CEST by the dblp team
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