HAWQ: Hessian AWare Quantization of Neural Networks With Mixed-Precision. - Zhen Dong 003; Zhewei Yao; Amir Gholami; Michael W. Mahoney; Kurt Keutzer (ICCV, 2019)

Algorithm-hardware Co-design for Deformable Convolution. - Qijing Huang 001; Dequan Wang; Yizhao Gao 002; Yaohui Cai; Zhen Dong 003; Bichen Wu; Kurt Keutzer; John Wawrzynek (EMC2@NeurIPS, 2019)

HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks. - Zhen Dong 003; Zhewei Yao; Yaohui Cai; Daiyaan Arfeen; Amir Gholami; Michael W. Mahoney; Kurt Keutzer (CoRR, 2019)

A Novel Convolution Computing Paradigm Based on NOR Flash Array With High Computing Speed and Energy Efficiency. - Runze Han; Peng Huang 004; Yachen Xiang; Chen Liu 009; Zhen Dong 003; Zhiqiang Su; Yongbo Liu; Lu Liu; Xiaoyan Liu; Jinfeng Kang (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT. - Sheng Shen 001; Zhen Dong 003; Jiayu Ye; Linjian Ma; Zhewei Yao; Amir Gholami; Michael W. Mahoney; Kurt Keutzer (AAAI, 2020)

ZeroQ: A Novel Zero Shot Quantization Framework. - Yaohui Cai; Zhewei Yao; Zhen Dong 003; Amir Gholami; Michael W. Mahoney; Kurt Keutzer (CVPR, 2020)

HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks. - Zhen Dong 003; Zhewei Yao; Daiyaan Arfeen; Amir Gholami; Michael W. Mahoney; Kurt Keutzer (NeurIPS, 2020)

CoDeNet: Algorithm-hardware Co-design for Deformable Convolution. - Zhen Dong 003; Dequan Wang; Qijing Huang 001; Yizhao Gao 002; Yaohui Cai; Bichen Wu; Kurt Keutzer; John Wawrzynek (CoRR, 2020)

HAWQV3: Dyadic Neural Network Quantization. - Zhewei Yao; Zhen Dong 003; Zhangcheng Zheng; Amir Gholami; Jiali Yu; Eric Tan; Leyuan Wang; Qijing Huang 001; Yida Wang; Michael W. Mahoney; Kurt Keutzer (CoRR, 2020)

Cross-Domain Sentiment Classification with In-Domain Contrastive Learning. - Tian Li; Xiang Chen; Shanghang Zhang; Zhen Dong 003; Kurt Keutzer (CoRR, 2020)

HAO: Hardware-aware Neural Architecture Optimization for Efficient Inference. - Zhen Dong 003; Yizhao Gao 002; Qijing Huang 001; John Wawrzynek; Hayden K. H. So; Kurt Keutzer (FCCM, 2021)

CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs. - Qijing Huang 001; Dequan Wang; Zhen Dong 003; Yizhao Gao 002; Yaohui Cai; Tian Li; Bichen Wu; Kurt Keutzer; John Wawrzynek (FPGA, 2021)

Cross-Domain Sentiment Classification with Contrastive Learning and Mutual Information Maximization. - Tian Li; Xiang Chen; Shanghang Zhang; Zhen Dong 003; Kurt Keutzer (ICASSP, 2021)

HAWQ-V3: Dyadic Neural Network Quantization. - Zhewei Yao; Zhen Dong 003; Zhangcheng Zheng; Amir Gholami; Jiali Yu; Eric Tan; Leyuan Wang; Qijing Huang 001; Yida Wang; Michael W. Mahoney; Kurt Keutzer (ICML, 2021)

Hessian-Aware Pruning and Optimal Neural Implant. - Shixing Yu; Zhewei Yao; Amir Gholami; Zhen Dong 003; Michael W. Mahoney; Kurt Keutzer (CoRR, 2021)

A Survey of Quantization Methods for Efficient Neural Network Inference. - Amir Gholami; Sehoon Kim 001; Zhen Dong 003; Zhewei Yao; Michael W. Mahoney; Kurt Keutzer (CoRR, 2021)

Applications and Techniques for Fast Machine Learning in Science. - Allison McCarn Deiana; Nhan Tran; Joshua Agar; Michaela Blott; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; Scott Hauck; Mia Liu; Mark S. Neubauer; Jennifer Ngadiuba; Seda Ogrenci Memik; et al. (CoRR, 2021)

Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data. - Tian Li; Xiang Chen; Zhen Dong 003; Kurt Keutzer; Shanghang Zhang (IJCAI, 2022)

Hessian-Aware Pruning and Optimal Neural Implant. - Shixing Yu; Zhewei Yao; Amir Gholami; Zhen Dong 003; Sehoon Kim 001; Michael W. Mahoney; Kurt Keutzer (WACV, 2022)

UnrealNAS: Can We Search Neural Architectures with Unreal Data? - Zhen Dong 003; Kaicheng Zhou; Guohao Li 001; Qiang Zhou; Mingfei Guo; Bernard Ghanem; Kurt Keutzer; Shanghang Zhang (CoRR, 2022)

Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data. - Tian Li; Xiang Chen; Zhen Dong 003; Weijiang Yu; Yijun Yan; Kurt Keutzer; Shanghang Zhang (CoRR, 2022)

Analysis of Quantization on MLP-based Vision Models. - Lingran Zhao; Zhen Dong 003; Kurt Keutzer (CoRR, 2022)

Applications and Techniques for Fast Machine Learning in Science. - Allison McCarn Deiana; Nhan Tran; Joshua Agar; Michaela Blott; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; Scott Hauck; Mia Liu; Mark S. Neubauer; Jennifer Ngadiuba; Seda Ogrenci Memik; et al. (Frontiers Big Data, 2022)

NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers. - Yijiang Liu; Huanrui Yang; Zhen Dong 003; Kurt Keutzer; Li Du; Shanghang Zhang (CVPR, 2023)

CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification. - Lirui Xiao; Huanrui Yang; Zhen Dong 003; Kurt Keutzer; Li Du; Shanghang Zhang (DAC, 2023)

Q-Diffusion: Quantizing Diffusion Models. - Xiuyu Li; Yijiang Liu; Long Lian; Huanrui Yang; Zhen Dong 003; Daniel Kang; Shanghang Zhang; Kurt Keutzer (ICCV, 2023)

QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection. - Yifan Zhang; Zhen Dong 003; Huanrui Yang; Ming Lu; Cheng-Ching Tseng; Yuan Du; Kurt Keutzer; Li Du; Shanghang Zhang (ICCV, 2023)

End-to-end codesign of Hessian-aware quantized neural networks for FPGAs and ASICs. - Javier Campos; Zhen Dong 003; Javier M. Duarte; Amir Gholami; Michael W. Mahoney; Jovan Mitrevski; Nhan Tran (CoRR, 2023)

PB-LLM: Partially Binarized Large Language Models. - Yuzhang Shang; Zhihang Yuan; Qiang Wu; Zhen Dong 003 (CoRR, 2023)

QFT: Quantized Full-parameter Tuning of LLMs with Affordable Resources. - Zhikai Li; Xiaoxuan Liu; Banghua Zhu; Zhen Dong 003; Qingyi Gu; Kurt Keutzer (CoRR, 2023)

Integrating View Conditions for Image Synthesis. - Jinbin Bai; Zhen Dong 003; Aosong Feng; Xiao Zhang; Tian Ye 001; Kaicheng Zhou; Mike Zheng Shou (CoRR, 2023)

CVPR 2023 Text Guided Video Editing Competition. - Jay Zhangjie Wu; Xiuyu Li; Difei Gao; Zhen Dong 003; Jinbin Bai; Aishani Singh; Xiaoyu Xiang; Youzeng Li; Zuwei Huang; Yuanxi Sun; Rui He; Feng Hu; et al. (CoRR, 2023)

Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation. - Rongyu Zhang; Yulin Luo; Jiaming Liu 003; Huanrui Yang; Zhen Dong 003; Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Yuan Du; Shanghang Zhang (CoRR, 2023)

Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation. - Rongyu Zhang; Yulin Luo; Jiaming Liu 003; Huanrui Yang; Zhen Dong 003; Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Yuan Du; Shanghang Zhang (AAAI, 2024)

PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought. - Junyi Yao; Yijiang Liu; Zhen Dong 003; Mingfei Guo; Helan Hu; Kurt Keutzer; Li Du; Daquan Zhou; Shanghang Zhang (CVPR, 2024)

EPIM: Efficient Processing-In-Memory Accelerators based on Epitome. - Chenyu Wang; Zhen Dong 003; Daquan Zhou; Zhenhua Zhu; Yu Wang 002; Jiashi Feng; Kurt Keutzer (DAC, 2024)

Magic-Me: Identity-Specific Video Customized Diffusion. - Ze Ma; Daquan Zhou; Xue-She Wang; Chun-Hsiao Yeh; Xiuyu Li; Huanrui Yang; Zhen Dong 003; Kurt Keutzer; Jiashi Feng (ECCV Workshops (5), 2024)

MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration. - Lin Xu; Zhiyuan Hu; Daquan Zhou; Hongyu Ren; Zhen Dong 003; Kurt Keutzer; See-Kiong Ng; Jiashi Feng (EMNLP, 2024)

PB-LLM: Partially Binarized Large Language Models. - Zhihang Yuan; Yuzhang Shang; Zhen Dong 003 (ICLR, 2024)

Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting. - Anthony Chen; Huanrui Yang; Yulu Gan; Denis A. Gudovskiy; Zhen Dong 003; Haofan Wang; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Shanghang Zhang (ICML, 2024)

SqueezeLLM: Dense-and-Sparse Quantization. - Sehoon Kim 001; Coleman Hooper; Amir Gholami; Zhen Dong 003; Xiuyu Li; Sheng Shen 001; Michael W. Mahoney; Kurt Keutzer (ICML, 2024)

Integrating View Conditions for Image Synthesis. - Jinbin Bai; Zhen Dong 003; Aosong Feng; Xiao Zhang; Tian Ye 001; Kaicheng Zhou (IJCAI, 2024)

LLM Inference Unveiled: Survey and Roofline Model Insights. - Zhihang Yuan; Yuzhang Shang; Yang Zhou; Zhen Dong 003; Zhe Zhou 002; Chenhao Xue; Bingzhe Wu; Zhikai Li; Qingyi Gu; Yong Jae Lee; Yan Yan 002; Beidi Chen; et al. (CoRR, 2024)

Fisher-aware Quantization for DETR Detectors with Critical-category Objectives. - Huanrui Yang; Yafeng Huang; Zhen Dong 003; Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Yuan Du; Kurt Keutzer; Shanghang Zhang (CoRR, 2024)

Interpolating Video-LLMs: Toward Longer-sequence LMMs in a Training-free Manner. - Yuzhang Shang; Bingxin Xu; Weitai Kang; Mu Cai; Yuheng Li; Zehao Wen; Zhen Dong 003; Kurt Keutzer; Yong Jae Lee; Yan Yan 002 (CoRR, 2024)

DQRM: Deep Quantized Recommendation Models. - Yang Zhou; Zhen Dong 003; Ellick Chan; Dhiraj Kalamkar; Diana Marculescu; Kurt Keutzer (CoRR, 2024)

Stochastic Communication Avoidance for Recommendation Systems. - Lutfi Eren Erdogan; Vijay Anand Raghava Kanakagiri; Kurt Keutzer; Zhen Dong 003 (CoRR, 2024)

Corrigendum: Applications and techniques for fast machine learning in science. - Allison McCarn Deiana; Nhan Tran; Joshua Agar; Michaela Blott; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; Scott Hauck; Mia Liu; Mark S. Neubauer; Jennifer Ngadiuba; Seda Ogrenci-Memik; et al. (Frontiers Big Data, 2024)

End-to-end codesign of Hessian-aware quantized neural networks for FPGAs. - Javier Campos; Jovan Mitrevski; Nhan Tran; Zhen Dong 003; Amir Gholaminejad; Michael W. Mahoney; Javier M. Duarte (ACM Trans. Reconfigurable Technol. Syst., 2024)

K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences. - Zhikai Li; Xuewen Liu; Dongrong Joe Fu; Jianquan Li; Qingyi Gu; Kurt Keutzer; Zhen Dong 003 (CVPR, 2025)

Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis. - Jinbin Bai; Tian Ye 001; Wei Chow; Enxin Song; Qing-Guo Chen; Xiangtai Li; Zhen Dong 003; Lei Zhu 003; Shuicheng Yan (ICLR, 2025)