Bohan Zhuang

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 107

Top Venues

Publications

Zhen Yang, Ganggui Ding, Wen Wang, Hao Chen, Bohan Zhuang, Chunhua Shen
Object-Aware Inversion and Reassembly for Image Editing. ICLR (2024)
Zizheng Pan, Bohan Zhuang, De-An Huang, Weili Nie, Zhiding Yu, Chaowei Xiao, Jianfei Cai, Anima Anandkumar
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching. CoRR (2024)
Guoan Wang, Jin Ye, Junlong Cheng, Tianbin Li, Zhaolin Chen, Jianfei Cai, Junjun He, Bohan Zhuang
SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation. CoRR (2024)
Akide Liu, Jing Liu, Zizheng Pan, Yefei He, Gholamreza Haffari, Bohan Zhuang
MiniCache: KV Cache Compression in Depth Dimension for Large Language Models. CoRR (2024)
Mingyang Zhang, Hao Chen, Chunhua Shen, Zhen Yang, Linlin Ou, Xinyi Yu, Bohan Zhuang
LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning. ACL (Findings) (2024)
Xinyu Wang, Bohan Zhuang, Qi Wu
ModaVerse: Efficiently Transforming Modalities with LLMs. CoRR (2024)
Zeyu Zhang, Akide Liu, Ian D. Reid, Richard Hartley, Bohan Zhuang, Hao Tang
Motion Mamba: Efficient and Long Sequence Motion Generation with Hierarchical and Bidirectional Selective SSM. CoRR (2024)
Haoyu He, Jianfei Cai, Jing Liu, Zizheng Pan, Jing Zhang, Dacheng Tao, Bohan Zhuang
Pruning Self-Attentions Into Convolutional Layers in Single Path. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Yuetian Weng, Mingfei Han, Haoyu He, Xiaojun Chang, Bohan Zhuang
LongVLM: Efficient Long Video Understanding via Large Language Models. CoRR (2024)
Feng Chen, Zhen Yang, Bohan Zhuang, Qi Wu
Streaming Video Diffusion: Online Video Editing with Diffusion Models. CoRR (2024)
Yuedong Chen, Haofei Xu, Chuanxia Zheng, Bohan Zhuang, Marc Pollefeys, Andreas Geiger, Tat-Jen Cham, Jianfei Cai
MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images. CoRR (2024)
Yefei He, Luoming Zhang, Weijia Wu, Jing Liu, Hong Zhou, Bohan Zhuang
ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification. CoRR (2024)
Yefei He, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models. ICLR (2024)
Jing Liu, Ruihao Gong, Xiuying Wei, Zhiwei Dong, Jianfei Cai, Bohan Zhuang
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models. ICLR (2024)
Zeyu Zhang, Akide Liu, Qi Chen, Feng Chen, Ian Reid, Richard I. Hartley, Bohan Zhuang, Hao Tang
InfiniMotion: Mamba Boosts Memory in Transformer for Arbitrary Long Motion Generation. CoRR (2024)
Jing Liu, Ruihao Gong, Mingyang Zhang, Yefei He, Jianfei Cai, Bohan Zhuang
ME-Switch: A Memory-Efficient Expert Switching Framework for Large Language Models. CoRR (2024)
Haoyu He, Jing Zhang, Bohan Zhuang, Jianfei Cai, Dacheng Tao
End-to-End One-Shot Human Parsing. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Yuetian Weng, Mingfei Han, Haoyu He, Mingjie Li, Lina Yao, Xiaojun Chang, Bohan Zhuang
Mask Propagation for Efficient Video Semantic Segmentation. NeurIPS (2023)
Bohan Zhuang, Jing Liu, Zizheng Pan, Haoyu He, Yuetian Weng, Chunhua Shen
A Survey on Efficient Training of Transformers. IJCAI (2023)
Jing Liu, Ruihao Gong, Xiuying Wei, Zhiwei Dong, Jianfei Cai, Bohan Zhuang
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models. CoRR (2023)
Zizheng Pan, Jing Liu, Haoyu He, Jianfei Cai, Bohan Zhuang
Stitched ViTs are Flexible Vision Backbones. CoRR (2023)
Yefei He, Zhenyu Lou, Luoming Zhang, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang
BiViT: Extremely Compressed Binary Vision Transformers. ICCV (2023)
Jing Liu, Bohan Zhuang, Peng Chen, Chunhua Shen, Jianfei Cai, Mingkui Tan
Single-Path Bit Sharing for Automatic Loss-Aware Model Compression. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Zizheng Pan, Jianfei Cai, Bohan Zhuang
Stitchable Neural Networks. CVPR (2023)
Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang
PTQD: Accurate Post-Training Quantization for Diffusion Models. NeurIPS (2023)
Zeshuai Deng, Zhuokun Chen, Shuaicheng Niu, Thomas H. Li, Bohan Zhuang, Mingkui Tan
Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction. NeurIPS (2023)
Zizheng Pan, Jianfei Cai, Bohan Zhuang
Stitchable Neural Networks. CoRR (2023)
Haoyu He, Jianfei Cai, Zizheng Pan, Jing Liu, Jing Zhang, Dacheng Tao, Bohan Zhuang
Dynamic Focus-aware Positional Queries for Semantic Segmentation. CVPR (2023)
Haoyu He, Jianfei Cai, Jing Zhang, Dacheng Tao, Bohan Zhuang
Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning. ICCV (2023)
Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang
PTQD: Accurate Post-Training Quantization for Diffusion Models. CoRR (2023)
Shoukai Xu, Shuhai Zhang, Jing Liu, Bohan Zhuang, Yaowei Wang, Mingkui Tan
Generative Data Free Model Quantization With Knowledge Matching for Classification. IEEE Trans. Circuits Syst. Video Technol. 33 (12) (2023)
Haoyu He, Zizheng Pan, Jing Liu, Jianfei Cai, Bohan Zhuang
Efficient Stitchable Task Adaptation. CoRR (2023)
Xinyu Wang, Bohan Zhuang, Qi Wu
SwitchGPT: Adapting Large Language Models for Non-Text Outputs. CoRR (2023)
Haoyu He, Jianfei Cai, Jing Zhang, Dacheng Tao, Bohan Zhuang
Sensitivity-Aware Visual Parameter-Efficient Tuning. CoRR (2023)
Yefei He, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models. CoRR (2023)
Zeshuai Deng, Zhuokun Chen, Shuaicheng Niu, Thomas H. Li, Bohan Zhuang, Mingkui Tan
Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction. CoRR (2023)
Yuetian Weng, Mingfei Han, Haoyu He, Mingjie Li, Lina Yao, Xiaojun Chang, Bohan Zhuang
Mask Propagation for Efficient Video Semantic Segmentation. CoRR (2023)
Zhen Yang, Dinggang Gui, Wen Wang, Hao Chen, Bohan Zhuang, Chunhua Shen
Object-aware Inversion and Reassembly for Image Editing. CoRR (2023)
Bohan Zhuang, Jing Liu, Zizheng Pan, Haoyu He, Yuetian Weng, Chunhua Shen
A Survey on Efficient Training of Transformers. CoRR (2023)
Mingyang Zhang, Hao Chen, Chunhua Shen, Zhen Yang, Linlin Ou, Xinyi Yu, Bohan Zhuang
Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning. CoRR (2023)
Yefei He, Zhenyu Lou, Luoming Zhang, Weijia Wu, Bohan Zhuang, Hong Zhou
BiViT: Extremely Compressed Binary Vision Transformer. CoRR (2022)
Haoyu He, Jianfei Cai, Zizheng Pan, Jing Liu, Jing Zhang, Dacheng Tao, Bohan Zhuang
Dynamic Focus-aware Positional Queries for Semantic Segmentation. CoRR (2022)
Yuetian Weng, Zizheng Pan, Mingfei Han, Xiaojun Chang, Bohan Zhuang
An Efficient Spatio-Temporal Pyramid Transformer for Action Detection. CoRR (2022)
Yuetian Weng, Zizheng Pan, Mingfei Han, Xiaojun Chang, Bohan Zhuang
An Efficient Spatio-Temporal Pyramid Transformer for Action Detection. ECCV (34) (2022)
Zizheng Pan, Jianfei Cai, Bohan Zhuang
Fast Vision Transformers with HiLo Attention. NeurIPS (2022)
Changlin Li, Bohan Zhuang, Guangrun Wang, Xiaodan Liang, Xiaojun Chang, Yi Yang
Automated Progressive Learning for Efficient Training of Vision Transformers. CoRR (2022)
Jing Liu, Zizheng Pan, Haoyu He, Jianfei Cai, Bohan Zhuang
EcoFormer: Energy-Saving Attention with Linear Complexity. CoRR (2022)
Zizheng Pan, Bohan Zhuang, Haoyu He, Jing Liu, Jianfei Cai
Less Is More: Pay Less Attention in Vision Transformers. AAAI (2022)
Jing Liu, Zizheng Pan, Haoyu He, Jianfei Cai, Bohan Zhuang
EcoFormer: Energy-Saving Attention with Linear Complexity. NeurIPS (2022)
Jing Liu, Jianfei Cai, Bohan Zhuang
FocusFormer: Focusing on What We Need via Architecture Sampler. CoRR (2022)
Chunlei Liu, Wenrui Ding, Peng Chen, Bohan Zhuang, Yufeng Wang, Yang Zhao, Baochang Zhang, Yuqi Han
RB-Net: Training Highly Accurate and Efficient Binary Neural Networks With Reshaped Point-Wise Convolution and Balanced Activation. IEEE Trans. Circuits Syst. Video Technol. 32 (9) (2022)
Bohan Zhuang, Mingkui Tan, Jing Liu, Lingqiao Liu, Ian Reid, Chunhua Shen
Effective Training of Convolutional Neural Networks With Low-Bitwidth Weights and Activations. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Changlin Li, Bohan Zhuang, Guangrun Wang, Xiaodan Liang, Xiaojun Chang, Yi Yang
Automated Progressive Learning for Efficient Training of Vision Transformers. CVPR (2022)
Zizheng Pan, Jianfei Cai, Bohan Zhuang
Fast Vision Transformers with HiLo Attention. CoRR (2022)
Bohan Zhuang, Chunhua Shen, Mingkui Tan, Peng Chen, Lingqiao Liu, Ian Reid
Structured Binary Neural Networks for Image Recognition. Int. J. Comput. Vis. 130 (9) (2022)
Jing Liu, Bohan Zhuang, Zhuangwei Zhuang, Yong Guo, Junzhou Huang, Jin-Hui Zhu, Mingkui Tan
Discrimination-Aware Network Pruning for Deep Model Compression. IEEE Trans. Pattern Anal. Mach. Intell. 44 (8) (2022)
Peng Chen, Bohan Zhuang, Chunhua Shen
. ICCV (2021)
Zizheng Pan, Bohan Zhuang, Jing Liu, Haoyu He, Jianfei Cai
Scalable Visual Transformers with Hierarchical Pooling. CoRR (2021)
Haoyu He, Jing Zhang, Bohan Zhuang, Jianfei Cai, Dacheng Tao
End-to-end One-shot Human Parsing. CoRR (2021)
Jing Liu, Jianfei Cai, Bohan Zhuang
Sharpness-aware Quantization for Deep Neural Networks. CoRR (2021)
Zizheng Pan, Bohan Zhuang, Haoyu He, Jing Liu, Jianfei Cai
Less is More: Pay Less Attention in Vision Transformers. CoRR (2021)
Jing Liu, Bohan Zhuang, Mingkui Tan, Xu Liu, Dinh Phung, Yuanqing Li, Jianfei Cai
Elastic Architecture Search for Diverse Tasks with Different Resources. CoRR (2021)
Hu Wang, Peng Chen, Bohan Zhuang, Chunhua Shen
Fully Quantized Image Super-Resolution Networks. ACM Multimedia (2021)
Jing Liu, Bohan Zhuang, Peng Chen, Yong Guo, Chunhua Shen, Jianfei Cai, Mingkui Tan
ABS: Automatic Bit Sharing for Model Compression. CoRR (2021)
Peng Chen, Jing Liu, Bohan Zhuang, Mingkui Tan, Chunhua Shen
AQD: Towards Accurate Quantized Object Detection. CVPR (2021)
Zizheng Pan, Bohan Zhuang, Jing Liu, Haoyu He, Jianfei Cai
Scalable Vision Transformers with Hierarchical Pooling. ICCV (2021)
Chunlei Liu, Peng Chen, Bohan Zhuang, Chunhua Shen, Baochang Zhang, Wenrui Ding
SA-BNN: State-Aware Binary Neural Network. AAAI (2021)
Haoyu He, Jing Liu, Zizheng Pan, Jianfei Cai, Jing Zhang, Dacheng Tao, Bohan Zhuang
Pruning Self-attentions into Convolutional Layers in Single Path. CoRR (2021)
Zizheng Pan, Peng Chen, Haoyu He, Jing Liu, Jianfei Cai, Bohan Zhuang
Mesa: A Memory-saving Training Framework for Transformers. CoRR (2021)
Luis Guerra, Bohan Zhuang, Ian D. Reid, Tom Drummond
Automatic Pruning for Quantized Neural Networks. CoRR (2020)
Hu Wang, Peng Chen, Bohan Zhuang, Chunhua Shen
Fully Quantized Image Super-Resolution Networks. CoRR (2020)
Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong
Role-Wise Data Augmentation for Knowledge Distillation. CoRR (2020)
Jing Liu, Bohan Zhuang, Zhuangwei Zhuang, Yong Guo, Junzhou Huang, Jin-Hui Zhu, Mingkui Tan
Discrimination-aware Network Pruning for Deep Model Compression. CoRR (2020)
Luis Guerra, Bohan Zhuang, Ian Reid, Tom Drummond
Switchable Precision Neural Networks. CoRR (2020)
Peng Chen, Bohan Zhuang, Chunhua Shen
FATNN: Fast and Accurate Ternary Neural Networks. CoRR (2020)
Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian D. Reid
Training Quantized Neural Networks With a Full-Precision Auxiliary Module. CVPR (2020)
Jing Liu, Bohan Zhuang, Peng Chen, Mingkui Tan, Chunhua Shen
AQD: Towards Accurate Quantized Object Detection. CoRR (2020)
Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan
Generative Low-bitwidth Data Free Quantization. CoRR (2020)
Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan
Generative Low-Bitwidth Data Free Quantization. ECCV (12) (2020)
Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation. CVPR (2019)
Chunlei Liu, Wenrui Ding, Xin Xia, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Bohan Zhuang, Guodong Guo
Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs. IJCAI (2019)
Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid
Structured Binary Neural Networks for Image Recognition. CoRR (2019)
Yifan Liu, Bohan Zhuang, Chunhua Shen, Hao Chen, Wei Yin
Training Compact Neural Networks via Auxiliary Overparameterization. CoRR (2019)
Bohan Zhuang, Jing Liu, Mingkui Tan, Lingqiao Liu, Ian D. Reid, Chunhua Shen
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations. CoRR (2019)
Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian D. Reid
Training Quantized Network with Auxiliary Gradient Module. CoRR (2019)
Chunlei Liu, Wenrui Ding, Xin Xia, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Bohan Zhuang, Guodong Guo
RBCN: Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs. CoRR (2019)
Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid
Towards Effective Low-Bitwidth Convolutional Neural Networks. CVPR (2018)
Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel
Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries. CVPR (2018)
Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel
HCVRD: A Benchmark for Large-Scale Human-Centered Visual Relationship Detection. AAAI (2018)
Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation. CoRR (2018)
Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jin-Hui Zhu
Discrimination-aware Channel Pruning for Deep Neural Networks. CoRR (2018)
Bohan Zhuang, Chunhua Shen, Ian D. Reid
Training Compact Neural Networks with Binary Weights and Low Precision Activations. CoRR (2018)
Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jin-Hui Zhu
Discrimination-aware Channel Pruning for Deep Neural Networks. NeurIPS (2018)
Yao Li, Guosheng Lin, Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Anton van den Hengel
Sequential Person Recognition in Photo Albums with a Recurrent Network. CVPR (2017)
Hao Lu, Zhiguo Cao, Yang Xiao, Bohan Zhuang, Chunhua Shen
TasselNet: Counting maize tassels in the wild via local counts regression network. CoRR (2017)
Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Ian D. Reid
Towards Context-Aware Interaction Recognition for Visual Relationship Detection. ICCV (2017)
Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel
Care about you: towards large-scale human-centric visual relationship detection. CoRR (2017)
Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid
Towards Effective Low-bitwidth Convolutional Neural Networks. CoRR (2017)
Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Ian D. Reid
Towards Context-aware Interaction Recognition. CoRR (2017)
Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel
Parallel Attention: A Unified Framework for Visual Object Discovery through Dialogs and Queries. CoRR (2017)

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Publication Activity (10 Years)

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Bohan Zhuang