Zhongzhi Yu - RankMe

51 papers A* 15A 4B 1Journal 29Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ACE-RTL: When Agentic Context Evolution Meets RTL-Specialized LLMs. CoRR Chenhui Deng, Zhongzhi Yu, Guan-Ting Liu, Nathaniel Ross Pinckney, Haoxing Ren
2025	A	`conf`	LLM4Verilog: Building Large-Scale, High-Quality Data Infrastructure for Verilog Code Generation via Community Efforts. ICCAD Zhongzhi Yu, Chaojian Li, Yongan Zhang, Mingjie Liu, Nathaniel Ross Pinckney, Wenfei Zhou, Rongjian Liang, Haoyu Yang, Haoxing Ren, Yingyan Celine Lin
2025	A*	`conf`	LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models. ICML Dachuan Shi, Yonggan Fu, Xiangchi Yuan, Zhongzhi Yu, Haoran You, Sixu Li, Xin Dong, Jan Kautz, Pavlo Molchanov, Yingyan Celine Lin
2025	J	`jnl`	LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models. CoRR Dachuan Shi, Yonggan Fu, Xiangchi Yuan, Zhongzhi Yu, Haoran You, Sixu Li, Xin Dong, Jan Kautz, Pavlo Molchanov, Yingyan Lin
2025	A*	`conf`	ORCHES: Orchestrated Test-Time-Compute-based LLM Reasoning on Collaborative GPU-PIM HEterogeneous System. MICRO Sixu Li, Yuzhou Chen, Chaojian Li, Yonggan Fu, Zheng Wang, Zhongzhi Yu, Haoran You, Zhifan Ye, Wei Zhou, Yongan Zhang, Yingyan (Celine) Lin
2025	—	`conf`	ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation. MLCAD Chenhui Deng, Yun-Da Tsai, Guan-Ting Liu, Zhongzhi Yu, Haoxing Ren
2025	J	`jnl`	ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation. CoRR Chenhui Deng, Yun-Da Tsai, Guan-Ting Liu, Zhongzhi Yu, Haoxing Ren
2025	J	`jnl`	Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems. CoRR Zhongzhi Yu, Mingjie Liu, Michael Zimmer, Yingyan Celine Lin, Yong Liu, Haoxing Ren
2024	A*	`conf`	AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment. NeurIPS Yonggan Fu, Zhongzhi Yu, Junwei Li, Jiayi Qian, Yongan Zhang, Xiangchi Yuan, Dachuan Shi, Roman Yakunin, Yingyan (Celine) Lin
2024	J	`jnl`	AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment. CoRR Yonggan Fu, Zhongzhi Yu, Junwei Li, Jiayi Qian, Yongan Zhang, Xiangchi Yuan, Dachuan Shi, Roman Yakunin, Yingyan Celine Lin
2024	J	`jnl`	EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting. CoRR Zhongzhi Yu, Zheng Wang, Yuhan Li, Haoran You, Ruijie Gao, Xiaoya Zhou, Sreenidhi Reddy Bommu, Yang Katie Zhao, Yingyan Celine Lin
2024	A*	`conf`	EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Unified Compression and Adaptive Layer Voting. DAC Zhongzhi Yu, Zheng Wang, Yuhan Li, Ruijie Gao, Xiaoya Zhou, Sreenidhi Reddy Bommu, Yang Katie Zhao, Yingyan (Celine) Lin
2024	A	`conf`	Invited Paper: LLM4HWDesign Contest: Constructing a Comprehensive Dataset for LLM-Assisted Hardware Code Generation with Community Efforts. ICCAD Zhongzhi Yu, Chaojian Li, Yongan Zhang, Mingjie Liu, Nathaniel Ross Pinckney, Wenfei Zhou, Haoyu Yang, Rongjian Liang, Haoxing Ren, Yingyan Celine Lin
2024	J	`jnl`	MG-Verilog: Multi-grained Dataset Towards Enhanced LLM-assisted Verilog Generation. CoRR Yongan Zhang, Zhongzhi Yu, Yonggan Fu, Cheng Wan, Yingyan Celine Lin
2024	J	`jnl`	Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks. CoRR Zheng Wang, Boxiao Jin, Zhongzhi Yu, Minjia Zhang
2024	A*	`conf`	Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration. ICML Zhongzhi Yu, Zheng Wang, Yonggan Fu, Huihong Shi, Khalid Shaikh, Yingyan Celine Lin
2024	J	`jnl`	Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration. CoRR Zhongzhi Yu, Zheng Wang, Yonggan Fu, Huihong Shi, Khalid Shaikh, Yingyan Celine Lin
2023	J	`jnl`	EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Hardware Co-Design. IEEE Micro 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
2023	A	`conf`	GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models. ICCAD Yonggan Fu, Yongan Zhang, Zhongzhi Yu, Sixu Li, Zhifan Ye, Chaojian Li, Cheng Wan, Yingyan Celine Lin
2023	J	`jnl`	GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models. CoRR Yonggan Fu, Yongan Zhang, Zhongzhi Yu, Sixu Li, Zhifan Ye, Chaojian Li, Cheng Wan, Yingyan Lin
2023	J	`jnl`	Hint-Aug: Drawing Hints from Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning. CoRR Zhongzhi Yu, Shang Wu, Yonggan Fu, Shunyao Zhang, Yingyan Lin
2023	A*	`conf`	Hint-Aug: Drawing Hints from Foundation Vision Transformers towards Boosted Few-shot Parameter-Efficient Tuning. CVPR Zhongzhi Yu, Shang Wu, Yonggan Fu, Shunyao Zhang, Yingyan Celine Lin
2023	A*	`conf`	Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning. ICML Zhongzhi Yu, Yang Zhang, Kaizhi Qian, Cheng Wan, Yonggan Fu, Yongan Zhang, Yingyan Celine Lin
2023	J	`jnl`	Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning. CoRR Zhongzhi Yu, Yang Zhang, Kaizhi Qian, Yonggan Fu, Yingyan Lin
2023	A*	`conf`	NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants. DAC Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Haoran You, Yingyan Celine Lin
2023	J	`jnl`	NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants. CoRR Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Haoran You, Yingyan Lin
2023	A*	`conf`	ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design. HPCA Haoran You, Zhanyi Sun, Huihong Shi, Zhongzhi Yu, Yang Zhao, Yongan Zhang, Chaojian Li, Baopu Li, Yingyan Lin
2022	J	`jnl`	EyeCoD: Eye Tracking System Acceleration via FlatCam-based Algorithm & Accelerator Co-Design. CoRR 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
2022	A*	`conf`	EyeCoD: eye tracking system acceleration via flatcam-based algorithm & accelerator co-design. ISCA 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
2022	J	`jnl`	Kernel Quantization for Efficient Network Compression. IEEE Access Zhongzhi Yu, Yemin Shi
2022	J	`jnl`	LDP: Learnable Dynamic Precision for Efficient Deep Neural Network Training and Inference. CoRR Zhongzhi Yu, Yonggan Fu, Shang Wu, Mengquan Li, Haoran You, Yingyan Lin
2022	A*	`conf`	Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing. NeurIPS Yonggan Fu, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Jeff Lai, Yingyan (Celine) Lin
2022	J	`jnl`	Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing. CoRR Yonggan Fu, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Lai, Yingyan Lin
2022	A*	`conf`	MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation. AAAI Zhongzhi Yu, Yonggan Fu, Sicheng Li, Chaojian Li, Yingyan Lin
2022	J	`jnl`	ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design. CoRR Haoran You, Zhanyi Sun, Huihong Shi, Zhongzhi Yu, Yang Zhao, Yongan Zhang, Chaojian Li, Baopu Li, Yingyan Lin
2021	A*	`conf`	A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning. DAC Yonggan Fu, Yongan Zhang, Chaojian Li, Zhongzhi Yu, Yingyan Lin
2021	J	`jnl`	A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning. CoRR Yonggan Fu, Yongan Zhang, Chaojian Li, Zhongzhi Yu, Yingyan Lin
2021	A*	`conf`	HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark. ICLR Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao, Haoran You, Qixuan Yu, Yue Wang, Cong Hao, Yingyan Lin
2021	J	`jnl`	HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark. CoRR Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao, Haoran You, Qixuan Yu, Yue Wang, Yingyan Lin
2021	J	`jnl`	Identification of Pediatric Respiratory Diseases Using Fine-grained Diagnosis System. CoRR Gang Yu, Zhongzhi Yu, Yemin Shi, Yingshuo Wang, Xiaoqing Liu, Zheming Li, Yonggen Zhao, Fenglei Sun, Yizhou Yu, Qiang Shu
2021	J	`jnl`	Identification of pediatric respiratory diseases using a fine-grained diagnosis system. J. Biomed. Informatics Gang Yu, Zhongzhi Yu, Yemin Shi, Yingshuo Wang, Xiaoqing Liu, Zheming Li, Yonggen Zhao, Fenglei Sun, Yizhou Yu, Qiang Shu
2021	A*	`conf`	InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks. DAC Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin
2021	J	`jnl`	InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks. CoRR Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin
2021	J	`jnl`	MIA-Former: Efficient and Robust Vision Transformers via Multi-grained Input-Adaptation. CoRR Zhongzhi Yu, Yonggan Fu, Sicheng Li, Chaojian Li, Yingyan Lin
2021	A	`conf`	O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed. ICCAD Mengquan Li, Zhongzhi Yu, Yongan Zhang, Yonggan Fu, Yingyan Lin
2021	J	`jnl`	O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed. CoRR Mengquan Li, Zhongzhi Yu, Yongan Zhang, Yonggan Fu, Yingyan Lin
2020	J	`jnl`	Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search. CoRR Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yingyan Lin
2020	J	`jnl`	Kernel Quantization for Efficient Network Compression. CoRR Zhongzhi Yu, Yemin Shi, Tiejun Huang, Yizhou Yu
2018	J	`jnl`	Exploiting Partially Annotated Data for Temporal Relation Extraction. CoRR Qiang Ning, Zhongzhi Yu, Chuchu Fan, Dan Roth
2018	—	`conf`	Exploiting Partially Annotated Data in Temporal Relation Extraction. *SEM@NAACL-HLT Qiang Ning, Zhongzhi Yu, Chuchu Fan, Dan Roth
2017	B	`conf`	Using OS Design Patterns to Provide Reliability and Security as-a-Service for VM-based Clouds. VEE Zachary John Estrada, Read Sprabery, Lok K. Yan, Zhongzhi Yu, Roy H. Campbell, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer