(Selected Publications. * equal contribution, # corresponding author)
2024
- MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images
Yuedong Chen, Haofei Xu, Chuanxia Zheng, Bohan Zhuang, Marc Pollefeys, Andreas Geiger, Tat-Jen Cham, Jianfei Cai
- T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching
Zizheng Pan, Bohan Zhuang#, De-An Huang, Weili Nie, Zhiding Yu, Chaowei Xiao, Jianfei Cai, Anima Anandkumar
- LongVLM: Efficient Long Video Understanding via Large Language Models
Yuetian Weng, Mingfei Han, Haoyu He, Xiaojun Chang, Bohan Zhuang
[Paper]
- LoRAPrune: Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning
Mingyang Zhang, Hao Chen, Chunhua Shen, Zhen Yang, Linlin Ou, Xinyi Yu, Bohan Zhuang
[Paper]
- Stitched ViTs are Flexible Vision Backbones (SN-Net v2)
Zizheng Pan, Jing Liu, Haoyu He, Jianfei Cai, Bohan Zhuang#
[Paper][HuggingFace][Code]
- QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
Jing Liu, Ruihao Gong, Xiuying Wei, Zhiwei Dong, Jianfei Cai, Bohan Zhuang#
[OpenReview][Code-1][Code-2] ICLR 2024
- EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models
Yefei He, Jing Liu, Weijia Wu, Hong Zhou#, Bohan Zhuang#
[OpenReview][Code] ICLR 2024 (Spotlight, Top 5%)
- Object-Aware Inversion and Reassembly for Image Editing
Zhen Yang, Ganggui Ding, Wen Wang, Hao Chen#, Bohan Zhuang#, Chunhua Shen
[OpenReview][Project] ICLR 2024
- Efficient Stitchable Task Adaptation
Haoyu He, Zizheng Pan, Jing Liu, Jianfei Cai, Bohan Zhuang#
- ModaVerse: Efficiently Transforming Modalities with LLMs
Xinyu Wang, Bohan Zhuang, Qi Wu
[Paper] CVPR 2024
2023
- Stitchable Neural Networks
Zizheng Pan, Jianfei Cai, Bohan Zhuang#
[Paper][Project][Code] CVPR 2023 (Highlight, Top 2.5%)
- PTQD: Accurate Post-Training Quantization for Diffusion Models
Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou#, Bohan Zhuang#
[OpenReview][Code] NeurIPS 2023
- Mask Propagation for Efficient Video Semantic Segmentation
Yuetian Weng, Mingfei Han, Haoyu He, Mingjie Li, Xiaojun Chang, Bohan Zhuang#
[OpenReview][Code] NeurIPS 2023
- Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction
Zeshuai Deng, Zhuokun Chen, Shuaicheng Niu, Thomas H. Li, Bohan Zhuang#, Mingkui Tan#
[OpenReview][Code] NeurIPS 2023
- Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning
Haoyu He, Jianfei Cai, Jing Zhang, Dacheng Tao, Bohan Zhuang#
[Paper][Code] ICCV 2023 (Oral)
- BiViT: Extremely Compressed Binary Vision Transformer
Yefei He, Zhenyu Lou, Luoming Zhang, Jing Liu, Weijia Wu, Hong Zhou#, Bohan Zhuang#
[Paper] ICCV 2023
- Dynamic Focus-aware Positional Queries for Semantic Segmentation
Haoyu He, Jianfei Cai, Zizheng Pan, Jing Liu, Jing Zhang, Dacheng Tao, Bohan Zhuang#
- Pruning Self-attentions into Convolutional Layers in Single Path
Haoyu He, Jing Liu, Zizheng Pan, Jianfei Cai, Jing Zhang, Dacheng Tao, Bohan Zhuang#
- Single-path Bit Sharing for Automatic Loss-aware Model Compression
Jing Liu, Bohan Zhuang, Peng Chen, Chunhua Shen, Jianfei Cai, Mingkui Tan
[Paper] TPAMI 2023
- End-to-end One-shot Human Parsing
Haoyu He, Jing Zhang, Bohan Zhuang, Jianfei Cai, Dacheng Tao
- A Survey on Efficient Training of Transformers
Bohan Zhuang#, Jing Liu, Zizheng Pan, Haoyu He, Yuetian Weng, Chunhua Shen
[Paper] IJCAI 2023 Survey Track
- SwitchGPT: Adapting Large Language Models for Non-Text Outputs
Xinyu Wang, Bohan Zhuang, Qi Wu
[Paper]
2022
- EcoFormer: Energy-Saving Attention with Linear Complexity
Jing Liu*, Zizheng Pan*, Haoyu He, Jianfei Cai, Bohan Zhuang#
[OpenReview][Code] NeurIPS 2022 (Spotlight, Top 3%)
- Fast Vision Transformers with HiLo Attention
Zizheng Pan, Jianfei Cai, Bohan Zhuang#
[OpenReview][Code] NeurIPS 2022 (Spotlight, Top 3%)
- An Efficient Spatio-Temporal Pyramid Transformer for Action Detection
Yuetian Weng, Zizheng Pan, Mingfei Han, Xiaojun Chang, Bohan Zhuang#
- Automated Progressive Learning for Efficient Training of Vision Transformers
Changlin Li, Bohan Zhuang#, Guangrun Wang, Xiaodan Liang, Xiaojun Chang, Yi Yang
- Less is More: Pay Less Attention in Vision Transformers
Zizheng Pan, Bohan Zhuang#, Haoyu He, Jing Liu, Jianfei Cai
- Structured Binary Neural Networks for Image Recognition
Bohan Zhuang, Chunhua Shen, Mingkui Tan, Peng Chen, Lingqiao Liu, Ian Reid
[paper] IJCV 2022
- Mesa: A Memory-saving Training Framework for Transformers
Zizheng Pan, Peng Chen, Haoyu He, Jing Liu, Jianfei Cai, Bohan Zhuang#
- Sharpness-aware Quantization for Deep Neural Networks
Jing Liu, Jianfei Cai, Bohan Zhuang#
- FocusFormer: Focusing on What We Need via Architecture Sampler
Jing Liu, Jianfei Cai, Bohan Zhuang#
[Paper]
- Rapid Elastic Architecture Search under Specialized Classes and Resource Constraints
Jing Liu, Bohan Zhuang#, Mingkui Tan, Xu Liu, Dinh Phung, Yuanqing Li, Jianfei Cai
[Paper]
2021
- Scalable Vision Transformers with Hierarchical Pooling
Zizheng Pan, Bohan Zhuang#, Jing Liu, Haoyu He, Jianfei Cai
- FATNN: Fast and Accurate Ternary Neural Networks
Peng Chen*, Bohan Zhuang*, Chunhua Shen
- Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations
Bohan Zhuang*, Mingkui Tan*, Jing Liu*, Ian Reid, Chunhua Shen#
- Discrimination-aware Network Pruning for Deep Model Compression
Jing Liu*, Bohan Zhuang*, Zhuangwei Zhuang*, Yong Guo, Junzhou Huang, Jinhui Zhu, Mingkui Tan#
- AQD: Towards Accurate Fully-Quantized Object Detection
Peng Chen*, Jing Liu*, Bohan Zhuang#, Mingkui Tan, Chunhua Shen
[Paper][Code] CVPR 2021 (Oral)
- SA-BNN: State-Aware Binary Neural Network
Chunlei Liu*, Peng Chen*, Bohan Zhuang*, Chunhua Shen, Baochang Zhang, Wenrui Ding
[Paper] AAAI 2021