Discrimination-aware Channel Pruning for Deep Neural Networks. - Zhuangwei Zhuang; Mingkui Tan; Bohan Zhuang; Jing Liu 048; Yong Guo; Qingyao Wu; Junzhou Huang; Jin-Hui Zhu (NeurIPS, 2018)

Deep Transferring Quantization. - Zheng Xie; Zhiquan Wen; Jing Liu 048; Zhiqiang Liu 001; Xixian Wu; Mingkui Tan (ECCV (8), 2020)

Generative Low-Bitwidth Data Free Quantization. - Shoukai Xu; Haokun Li; Bohan Zhuang; Jing Liu 048; Jiezhang Cao; Chuangrun Liang; Mingkui Tan (ECCV (12), 2020)

Conditional Automated Channel Pruning for Deep Neural Networks. - Yixin Liu 002; Yong Guo; Zichang Liu; Haohua Liu; Jingjie Zhang; Zejun Chen; Jing Liu 048; Jian Chen 011 (CoRR, 2020)

AQD: Towards Accurate Quantized Object Detection. - Peng Chen 037; Jing Liu 048; Bohan Zhuang; Mingkui Tan; Chunhua Shen (CVPR, 2021)

Scalable Vision Transformers with Hierarchical Pooling. - Zizheng Pan; Bohan Zhuang; Jing Liu 048; Haoyu He 001; Jianfei Cai 001 (ICCV, 2021)

ABS: Automatic Bit Sharing for Model Compression. - Jing Liu 048; Bohan Zhuang; Peng Chen 037; Yong Guo; Chunhua Shen; Jianfei Cai 001; Mingkui Tan (CoRR, 2021)

Scalable Visual Transformers with Hierarchical Pooling. - Zizheng Pan; Bohan Zhuang; Jing Liu 048; Haoyu He 001; Jianfei Cai 001 (CoRR, 2021)

Elastic Architecture Search for Diverse Tasks with Different Resources. - Jing Liu 048; Bohan Zhuang; Mingkui Tan; Xu Liu 022; Dinh Phung 001; Yuanqing Li 001; Jianfei Cai 001 (CoRR, 2021)

Mesa: A Memory-saving Training Framework for Transformers. - Zizheng Pan; Peng Chen 037; Haoyu He 001; Jing Liu 048; Jianfei Cai 001; Bohan Zhuang (CoRR, 2021)

Sharpness-aware Quantization for Deep Neural Networks. - Jing Liu 048; Jianfei Cai 001; Bohan Zhuang (CoRR, 2021)

Less Is More: Pay Less Attention in Vision Transformers. - Zizheng Pan; Bohan Zhuang; Haoyu He 001; Jing Liu 048; Jianfei Cai 001 (AAAI, 2022)

Downscaling and Overflow-aware Model Compression for Efficient Vision Processors. - Haokun Li; Jing Liu 048; Liancheng Jia; Yun Liang 001; Yaowei Wang 001; Mingkui Tan (ICDCS Workshops, 2022)

EcoFormer: Energy-Saving Attention with Linear Complexity. - Jing Liu 048; Zizheng Pan; Haoyu He 001; Jianfei Cai 001; Bohan Zhuang (NeurIPS, 2022)

FocusFormer: Focusing on What We Need via Architecture Sampler. - Jing Liu 048; Jianfei Cai 001; Bohan Zhuang (CoRR, 2022)

Discrimination-Aware Network Pruning for Deep Model Compression. - Jing Liu 048; Bohan Zhuang; Zhuangwei Zhuang; Yong Guo; Junzhou Huang; Jin-Hui Zhu; Mingkui Tan (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Effective Training of Convolutional Neural Networks With Low-Bitwidth Weights and Activations. - Bohan Zhuang; Mingkui Tan; Jing Liu 048; Lingqiao Liu; Ian Reid 001; Chunhua Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Dynamic Focus-aware Positional Queries for Semantic Segmentation. - Haoyu He 001; Jianfei Cai 001; Zizheng Pan; Jing Liu 048; Jing Zhang 037; Dacheng Tao; Bohan Zhuang (CVPR, 2023)

BiViT: Extremely Compressed Binary Vision Transformers. - Yefei He; Zhenyu Lou; Luoming Zhang; Jing Liu 048; Weijia Wu 001; Hong Zhou; Bohan Zhuang (ICCV, 2023)

A Survey on Efficient Training of Transformers. - Bohan Zhuang; Jing Liu 048; Zizheng Pan; Haoyu He 001; Yuetian Weng; Chunhua Shen (IJCAI, 2023)

PTQD: Accurate Post-Training Quantization for Diffusion Models. - Yefei He; Luping Liu; Jing Liu 048; Weijia Wu 001; Hong Zhou; Bohan Zhuang (NeurIPS, 2023)

Single-Path Bit Sharing for Automatic Loss-Aware Model Compression. - Jing Liu 048; Bohan Zhuang; Peng Chen 037; Chunhua Shen; Jianfei Cai 001; Mingkui Tan (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Generative Data Free Model Quantization With Knowledge Matching for Classification. - Shoukai Xu; Shuhai Zhang; Jing Liu 048; Bohan Zhuang; Yaowei Wang 001; Mingkui Tan (IEEE Trans. Circuits Syst. Video Technol., 2023)

Efficient Stitchable Task Adaptation. - Haoyu He 001; Zizheng Pan; Jing Liu 048; Jianfei Cai 001; Bohan Zhuang (CVPR, 2024)

TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models. - Yushi Huang; Ruihao Gong; Jing Liu 048; Tianlong Chen 001; Xianglong Liu 001 (CVPR, 2024)

Stitched ViTs are Flexible Vision Backbones. - Zizheng Pan; Jing Liu 048; Haoyu He 001; Jianfei Cai 001; Bohan Zhuang (ECCV (41), 2024)

EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models. - Yefei He; Jing Liu 048; Weijia Wu 001; Hong Zhou; Bohan Zhuang (ICLR, 2024)

ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification. - Yefei He; Luoming Zhang; Weijia Wu 001; Jing Liu 048; Hong Zhou; Bohan Zhuang (NeurIPS, 2024)

MiniCache: KV Cache Compression in Depth Dimension for Large Language Models. - Akide Liu; Jing Liu 048; Zizheng Pan; Yefei He; Reza Haffari; Bohan Zhuang (NeurIPS, 2024)

Temporal Feature Matters: A Framework for Diffusion Model Quantization. - Yushi Huang; Ruihao Gong; Xianglong Liu 001; Jing Liu 048; Yuhang Li 001; Jiwen Lu; Dacheng Tao (CoRR, 2024)

Pruning Self-Attentions Into Convolutional Layers in Single Path. - Haoyu He 001; Jianfei Cai 001; Jing Liu 048; Zizheng Pan; Jing Zhang 037; Dacheng Tao; Bohan Zhuang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Gap Preserving Distillation by Building Bidirectional Mappings with A Dynamic Teacher. - Yong Guo; Shulian Zhang; Haolin Pan; Jing Liu 048; Yulun Zhang 001; Jian Chen 011 (ICLR, 2025)