Publications

2026

1. Tech Report

   Seed2.1 Model Card: Agentic Intelligence for Productivity

   ByteDance Seed

   Technical Report, 2026

   Bib HTML PDF

   @article{seed2026seed21,
     title = {{Seed2.1} Model Card: Agentic Intelligence for Productivity},
     author = {{ByteDance Seed}},
     journal = {Technical Report},
     year = {2026},
   }

2. Tech Report

   Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity

   ByteDance Seed

   arXiv preprint arXiv:2607.00248, 2026

   arXiv Bib HTML PDF

   @article{seed2026seed20,
     title = {{Seed2.0} Model Card: Towards Intelligence Frontier for Real-World Complexity},
     author = {{ByteDance Seed}},
     journal = {arXiv preprint arXiv:2607.00248},
     year = {2026},
   }

3. Tech Report

   Seed1.8 Model Card: Towards Generalized Real-World Agency

   ByteDance Seed

   arXiv preprint arXiv:2603.20633, 2026

   arXiv Bib

   @article{seed2026seed18,
     title = {{Seed1.8} Model Card: Towards Generalized Real-World Agency},
     author = {{ByteDance Seed}},
     journal = {arXiv preprint arXiv:2603.20633},
     year = {2026},
   }

4. ICML

   LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws

   Xu Ouyang ,  Deyi Liu ,  Yuhang Cai ,  Jing Liu ,  Yuan Yang ,  Chen Zheng ,  Thomas Hartvigsen ,  and  Yiyuan Ma

   In International Conference on Machine Learning (ICML) , 2026

   arXiv Bib

   @inproceedings{ouyang2026noisy,
     title = {{LLMs} as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws},
     author = {Ouyang, Xu and Liu, Deyi and Cai, Yuhang and Liu, Jing and Yang, Yuan and Zheng, Chen and Hartvigsen, Thomas and Ma, Yiyuan},
     booktitle = {International Conference on Machine Learning (ICML)},
     year = {2026},
   }

5. ICML

   INT v.s. FP: A Comprehensive Study of Fine-Grained Low-bit Quantization Formats

   Mengzhao Chen ,  Meng Wu ,  Hui Jin ,  Zhihang Yuan ,  Jing Liu ,  Chaoyi Zhang ,  Yunshui Li ,  Jie Huang ,  Jin Ma ,  Zeyue Xue ,  Zhiheng Liu ,  Xingyan Bin ,  and  Ping Luo

   In International Conference on Machine Learning (ICML) , 2026

   arXiv Bib

   @inproceedings{chen2025int,
     title = {{INT} v.s. {FP}: A Comprehensive Study of Fine-Grained Low-bit Quantization Formats},
     author = {Chen, Mengzhao and Wu, Meng and Jin, Hui and Yuan, Zhihang and Liu, Jing and Zhang, Chaoyi and Li, Yunshui and Huang, Jie and Ma, Jin and Xue, Zeyue and Liu, Zhiheng and Bin, Xingyan and Luo, Ping},
     booktitle = {International Conference on Machine Learning (ICML)},
     year = {2026},
   }

6. ICML

   Scaling Law for Quantization-Aware Training

   Mengzhao Chen ,  Chaoyi Zhang ,  Jing Liu ,  Yutao Zeng ,  Zeyue Xue ,  Zhiheng Liu ,  Yunshui Li ,  Jin Ma ,  Jie Huang ,  Xun Zhou ,  and  Ping Luo

   In International Conference on Machine Learning (ICML) , 2026

   arXiv Bib

   @inproceedings{chen2025scaling,
     title = {Scaling Law for Quantization-Aware Training},
     author = {Chen, Mengzhao and Zhang, Chaoyi and Liu, Jing and Zeng, Yutao and Xue, Zeyue and Liu, Zhiheng and Li, Yunshui and Ma, Jin and Huang, Jie and Zhou, Xun and Luo, Ping},
     booktitle = {International Conference on Machine Learning (ICML)},
     year = {2026},
   }

2025

1. arXiv

   GatePro: Parameter-Free Expert Selection Optimization for Mixture-of-Experts Models

   Chen Zheng ,  Yuhang Cai ,  Deyi Liu ,  Jin Ma ,  Yiyuan Ma ,  Yuan Yang ,  Jing Liu ,  Yutao Zeng ,  Xun Zhou ,  and  Siyuan Qiao

   arXiv preprint arXiv:2510.13079, 2025

   arXiv Bib

   @article{zheng2025gatepro,
     title = {{GatePro}: Parameter-Free Expert Selection Optimization for Mixture-of-Experts Models},
     author = {Zheng, Chen and Cai, Yuhang and Liu, Deyi and Ma, Jin and Ma, Yiyuan and Yang, Yuan and Liu, Jing and Zeng, Yutao and Zhou, Xun and Qiao, Siyuan},
     journal = {arXiv preprint arXiv:2510.13079},
     year = {2025},
   }

2. arXiv

   Balanced Actor Initialization: Stable RLHF Training of Distillation-Based Reasoning Models

   Chen Zheng ,  Yiyuan Ma ,  Yuan Yang ,  Deyi Liu ,  Jing Liu ,  Zuquan Song ,  Yuxin Song ,  Cheng Ren ,  Hang Zhu ,  Xin Liu ,  Yiyuan Ma ,  Siyuan Qiao ,  Xun Zhou ,  Liang Xiang ,  and  Yonghui Wu

   arXiv preprint arXiv:2509.00309, 2025

   arXiv Bib

   @article{zheng2025balanced,
     title = {Balanced Actor Initialization: Stable {RLHF} Training of Distillation-Based Reasoning Models},
     author = {Zheng, Chen and Ma, Yiyuan and Yang, Yuan and Liu, Deyi and Liu, Jing and Song, Zuquan and Song, Yuxin and Ren, Cheng and Zhu, Hang and Liu, Xin and Ma, Yiyuan and Qiao, Siyuan and Zhou, Xun and Xiang, Liang and Wu, Yonghui},
     journal = {arXiv preprint arXiv:2509.00309},
     year = {2025},
   }

3. NeurIPS

   Model Merging in Pre-training of Large Language Models

   Yunshui Li ,  Yiyuan Ma ,  Shen Yan ,  Chaoyi Zhang ,  Jing Liu ,  Jianqiao Lu ,  Ziwen Xu ,  Mengzhao Chen ,  Minrui Wang ,  Shiyi Zhan ,  Jin Ma ,  Xunhao Lai ,  Yao Luo ,  Xingyan Bin ,  Hongbin Ren ,  Mingji Han ,  Wenhao Hao ,  Bairen Yi ,  LingJun Liu ,  Bole Ma ,  Xiaoying Jia ,  Zhou Xun ,  Liang Xiang ,  and  Yonghui Wu

   In Conference on Neural Information Processing Systems (NeurIPS) , 2025

   arXiv Bib

   @inproceedings{li2025model,
     title = {Model Merging in Pre-training of Large Language Models},
     author = {Li, Yunshui and Ma, Yiyuan and Yan, Shen and Zhang, Chaoyi and Liu, Jing and Lu, Jianqiao and Xu, Ziwen and Chen, Mengzhao and Wang, Minrui and Zhan, Shiyi and Ma, Jin and Lai, Xunhao and Luo, Yao and Bin, Xingyan and Ren, Hongbin and Han, Mingji and Hao, Wenhao and Yi, Bairen and Liu, LingJun and Ma, Bole and Jia, Xiaoying and Xun, Zhou and Xiang, Liang and Wu, Yonghui},
     booktitle = {Conference on Neural Information Processing Systems (NeurIPS)},
     year = {2025},
     doi = {10.52202/085713-4456},
   }

4. ICCV

   ZipVL: Accelerating Vision-Language Models through Dynamic Token Sparsity

   Yefei He ,  Feng Chen ,  Jing Liu ,  Wenqi Shao ,  Hong Zhou ,  Kaipeng Zhang ,  and  Bohan Zhuang

   In International Conference on Computer Vision (ICCV) , 2025

   arXiv Bib HTML

   @inproceedings{he2025zipvl,
     title = {{ZipVL}: Accelerating Vision-Language Models through Dynamic Token Sparsity},
     author = {He, Yefei and Chen, Feng and Liu, Jing and Shao, Wenqi and Zhou, Hong and Zhang, Kaipeng and Zhuang, Bohan},
     booktitle = {International Conference on Computer Vision (ICCV)},
     year = {2025},
     pages = {20477--20486},
   }

5. AAAI

   Channel Merging: Preserving Specialization for Merged Experts

   Mingyang Zhang ,  Jing Liu ,  Ganggui Ding ,  Linlin Ou ,  Xinyi Yu ,  and  Bohan Zhuang

   In AAAI Conference on Artificial Intelligence (AAAI) , 2025

   arXiv Bib

   @inproceedings{zhang2024channel,
     title = {Channel Merging: Preserving Specialization for Merged Experts},
     author = {Zhang, Mingyang and Liu, Jing and Ding, Ganggui and Ou, Linlin and Yu, Xinyi and Zhuang, Bohan},
     booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
     year = {2025},
     doi = {10.1609/aaai.v39i21.34405},
   }

6. AAAI

   Numerical Pruning for Efficient Autoregressive Models

   Xuan Shen ,  Zhao Song ,  Yufa Zhou ,  Bo Chen ,  Jing Liu ,  Ruiyi Zhang ,  Ryan A Rossi ,  Hao Tan ,  Tong Yu ,  Xiang Chen ,  Yufan Zhou ,  Tong Sun ,  Pu Zhao ,  Yanzhi Wang ,  and  Jiuxiang Gu

   In AAAI Conference on Artificial Intelligence (AAAI) , 2025

   arXiv Bib

   @inproceedings{shen2024numerical,
     title = {Numerical Pruning for Efficient Autoregressive Models},
     author = {Shen, Xuan and Song, Zhao and Zhou, Yufa and Chen, Bo and Liu, Jing and Zhang, Ruiyi and Rossi, Ryan A and Tan, Hao and Yu, Tong and Chen, Xiang and Zhou, Yufan and Sun, Tong and Zhao, Pu and Wang, Yanzhi and Gu, Jiuxiang},
     booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
     year = {2025},
     doi = {10.1609/aaai.v39i19.34249},
   }

2024

1. NeurIPS

   MiniCache: KV Cache Compression in Depth Dimension for Large Language Models

   Akide Liu ,  Jing Liu ,  Zizheng Pan ,  Yefei He ,  Gholamreza Haffari ,  and  Bohan Zhuang

   In Conference on Neural Information Processing Systems (NeurIPS) , 2024

   arXiv Bib

   @inproceedings{liu2024minicache,
     title = {MiniCache: KV Cache Compression in Depth Dimension for Large Language Models},
     author = {Liu, Akide and Liu, Jing and Pan, Zizheng and He, Yefei and Haffari, Gholamreza and Zhuang, Bohan},
     booktitle = {Conference on Neural Information Processing Systems (NeurIPS)},
     year = {2024},
   }

2. NeurIPS

   ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification

   Yefei He ,  Luoming Zhang ,  Weijia Wu ,  Jing Liu ,  Hong Zhou ,  and  Bohan Zhuang

   In Conference on Neural Information Processing Systems (NeurIPS) , 2024

   arXiv Bib Code

   @inproceedings{he2024zipcache,
     title = {ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification},
     author = {He, Yefei and Zhang, Luoming and Wu, Weijia and Liu, Jing and Zhou, Hong and Zhuang, Bohan},
     booktitle = {Conference on Neural Information Processing Systems (NeurIPS)},
     year = {2024},
   }

3. ECCV

   Stitched ViTs are Flexible Vision Backbones

   Zizheng Pan ,  Jing Liu ,  Haoyu He ,  Jianfei Cai ,  and  Bohan Zhuang

   In European Conference on Computer Vision (ECCV) , 2024

   arXiv Bib Code

   @inproceedings{pan2023snnetv2,
     title = {Stitched ViTs are Flexible Vision Backbones},
     author = {Pan, Zizheng and Liu, Jing and He, Haoyu and Cai, Jianfei and Zhuang, Bohan},
     booktitle = {European Conference on Computer Vision (ECCV)},
     year = {2024},
   }

4. CVPR

   Efficient Stitchable Task Adaptation

   Haoyu He ,  Zizheng Pan ,  Jing Liu ,  Jianfei Cai ,  and  Bohan Zhuang

   In Conference on Computer Vision and Pattern Recognition (CVPR) , 2024

   arXiv Bib Code

   @inproceedings{he2023efficient,
     title = {Efficient Stitchable Task Adaptation},
     author = {He, Haoyu and Pan, Zizheng and Liu, Jing and Cai, Jianfei and Zhuang, Bohan},
     booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
     year = {2024},
   }

5. CVPR Highlight

   Tfmq-dm: Temporal feature maintenance quantization for diffusion models

   Yushi Huang* ,  Ruihao Gong* ,  Jing Liu ,  Tianlong Chen ,  and  Xianglong Liu

   In Conference on Computer Vision and Pattern Recognition (CVPR) , 2024

   Spotlight (top 11% of the accepted papers)

   arXiv Bib Code

   @inproceedings{huang2023tfmq,
     title = {Tfmq-dm: Temporal feature maintenance quantization for diffusion models},
     author = {Huang*, Yushi and Gong*, Ruihao and Liu, Jing and Chen, Tianlong and Liu, Xianglong},
     booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
     year = {2024},
     price = {Highlight},
     long_price = {Spotlight (top 11% of the accepted papers)},
   }

6. ICLR

   QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models

   Jing Liu ,  Ruihao Gong ,  Xiuying Wei ,  Zhiwei Dong ,  Jianfei Cai ,  and  Bohan Zhuang

   In International Conference on Learning Representations (ICLR) , 2024

   arXiv Bib Code

   @inproceedings{liu2024qllm,
     title = {{QLLM}: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models},
     author = {Liu, Jing and Gong, Ruihao and Wei, Xiuying and Dong, Zhiwei and Cai, Jianfei and Zhuang, Bohan},
     booktitle = {International Conference on Learning Representations (ICLR)},
     year = {2024},
   }

7. ICLR Spotlight

   EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models

   Yefei He ,  Jing Liu ,  Weijia Wu ,  Hong Zhou ,  and  Bohan Zhuang

   In International Conference on Learning Representations (ICLR) , 2024

   Spotlight (top 5% of the accepted papers)

   arXiv Bib

   @inproceedings{he2024efficientdm,
     title = {Efficient{DM}: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models},
     author = {He, Yefei and Liu, Jing and Wu, Weijia and Zhou, Hong and Zhuang, Bohan},
     booktitle = {International Conference on Learning Representations (ICLR)},
     year = {2024},
     price = {Spotlight},
     long_price = {Spotlight (top 5% of the accepted papers)}
   }

2023

1. TPAMI

   Pruning self-attentions into convolutional layers in single path

   Haoyu He ,  Jing Liu ,  Zizheng Pan ,  Jianfei Cai ,  Jing Zhang ,  Dacheng Tao ,  and  Bohan Zhuang

   IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023

   arXiv Bib

   @article{he2021pruning,
     title = {Pruning self-attentions into convolutional layers in single path},
     author = {He, Haoyu and Liu, Jing and Pan, Zizheng and Cai, Jianfei and Zhang, Jing and Tao, Dacheng and Zhuang, Bohan},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
     year = {2023},
   }

2. NeurIPS

   PTQD: Accurate Post-Training Quantization for Diffusion Models

   Yefei He ,  Luping Liu ,  Jing Liu ,  Weijia Wu ,  Hong Zhou ,  and  Bohan Zhuang

   In Conference on Neural Information Processing Systems (NeurIPS) , 2023

   arXiv Bib Code

   @inproceedings{he2023ptqd,
     title = {{PTQD}: Accurate Post-Training Quantization for Diffusion Models},
     author = {He, Yefei and Liu, Luping and Liu, Jing and Wu, Weijia and Zhou, Hong and Zhuang, Bohan},
     booktitle = {Conference on Neural Information Processing Systems (NeurIPS)},
     year = {2023},
     url = {https://openreview.net/forum?id=Y3g1PV5R9l},
   }

3. ICCV

   BiViT: Extremely Compressed Binary Vision Transformers

   Yefei He ,  Zhenyu Lou ,  Luoming Zhang ,  Jing Liu ,  Weijia Wu ,  Hong Zhou ,  and  Bohan Zhuang

   In International Conference on Computer Vision (ICCV) , 2023

   arXiv Bib Code

   @inproceedings{he2023bivit,
     title = {BiViT: Extremely Compressed Binary Vision Transformers},
     author = {He, Yefei and Lou, Zhenyu and Zhang, Luoming and Liu, Jing and Wu, Weijia and Zhou, Hong and Zhuang, Bohan},
     booktitle = {International Conference on Computer Vision (ICCV)},
     pages = {5651--5663},
     year = {2023},
   }

4. TPAMI

   Single-path bit sharing for automatic loss-aware model compression

   Jing Liu ,  Bohan Zhuang ,  Peng Chen ,  Chunhua Shen ,  Jianfei Cai ,  and  Mingkui Tan

   IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023

   arXiv Bib

   @article{liu2023single,
     title = {Single-path bit sharing for automatic loss-aware model compression},
     author = {Liu, Jing and Zhuang, Bohan and Chen, Peng and Shen, Chunhua and Cai, Jianfei and Tan, Mingkui},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     year = {2023},
     doi = {10.1109/TPAMI.2023.3275159}
   }

5. IJCAI

   A Survey on Efficient Training of Transformers

   Bohan Zhuang ,  Jing Liu ,  Zizheng Pan ,  Haoyu He ,  Yuetian Weng ,  and  Chunhua Shen

   In International Joint Conference on Artificial Intelligence (IJCAI) , 2023

   Survey Track

   arXiv Bib

   @inproceedings{ijcai2023p764,
     title = {A Survey on Efficient Training of Transformers},
     author = {Zhuang, Bohan and Liu, Jing and Pan, Zizheng and He, Haoyu and Weng, Yuetian and Shen, Chunhua},
     booktitle = {International Joint Conference on Artificial Intelligence (IJCAI)},
     pages = {6823--6831},
     year = {2023},
     note = {Survey Track},
     doi = {10.24963/ijcai.2023/764},
   }

6. CVPR

   Dynamic Focus-Aware Positional Queries for Semantic Segmentation

   Haoyu He ,  Jianfei Cai ,  Zizheng Pan ,  Jing Liu ,  Jing Zhang ,  Dacheng Tao ,  and  Bohan Zhuang

   In Conference on Computer Vision and Pattern Recognition (CVPR) , 2023

   arXiv Bib

   @inproceedings{He_2023_CVPR,
     author = {He, Haoyu and Cai, Jianfei and Pan, Zizheng and Liu, Jing and Zhang, Jing and Tao, Dacheng and Zhuang, Bohan},
     title = {Dynamic Focus-Aware Positional Queries for Semantic Segmentation},
     booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
     year = {2023},
     pages = {11299-11308},
   }

2022

1. NeurIPS Spotlight

   EcoFormer: Energy-Saving Attention with Linear Complexity

   Jing Liu* ,  Zizheng Pan* ,  Haoyu He ,  Jianfei Cai ,  and  Bohan Zhuang

   In Conference on Neural Information Processing Systems (NeurIPS) , 2022

   Spotlight (top 5% of the accepted papers)

   arXiv Bib Code

   @inproceedings{liu2022ecoformer,
     author = {Liu*, Jing and Pan*, Zizheng and He, Haoyu and Cai, Jianfei and Zhuang, Bohan},
     booktitle = {Conference on Neural Information Processing Systems (NeurIPS)},
     pages = {10295--10308},
     title = {EcoFormer: Energy-Saving Attention with Linear Complexity},
     volume = {35},
     year = {2022},
     price = {Spotlight},
     long_price = {Spotlight (top 5% of the accepted papers)},
   }

2. AAAI

   Less is more: Pay less attention in vision transformers

   Zizheng Pan ,  Bohan Zhuang ,  Haoyu He ,  Jing Liu ,  and  Jianfei Cai

   In AAAI Conference on Artificial Intelligence (AAAI) , 2022

   arXiv Bib Code

   @inproceedings{pan2022less,
     title = {Less is more: Pay less attention in vision transformers},
     author = {Pan, Zizheng and Zhuang, Bohan and He, Haoyu and Liu, Jing and Cai, Jianfei},
     booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
     volume = {36},
     number = {2},
     pages = {2035--2043},
     year = {2022},
   }

2021

1. ICCV

   Scalable Vision Transformers With Hierarchical Pooling

   Zizheng Pan ,  Bohan Zhuang ,  Jing Liu ,  Haoyu He ,  and  Jianfei Cai

   In International Conference on Computer Vision (ICCV) , 2021

   arXiv Bib Code

   @inproceedings{Pan_2021_ICCV,
     author = {Pan, Zizheng and Zhuang, Bohan and Liu, Jing and He, Haoyu and Cai, Jianfei},
     title = {Scalable Vision Transformers With Hierarchical Pooling},
     booktitle = {International Conference on Computer Vision (ICCV)},
     year = {2021},
     pages = {377-386},
   }

2. arXiv

   Sharpness-aware quantization for deep neural networks

   Jing Liu ,  Jianfei Cai ,  and  Bohan Zhuang

   arXiv preprint arXiv:2111.12273, 2021

   arXiv Bib Code

   @article{liu2021sharpness,
     title = {Sharpness-aware quantization for deep neural networks},
     author = {Liu, Jing and Cai, Jianfei and Zhuang, Bohan},
     booktitle = {arXiv},
     journal = {arXiv preprint arXiv:2111.12273},
     year = {2021},
   }

3. arXiv

   Mesa: A memory-saving training framework for transformers

   Zizheng Pan ,  Peng Chen ,  Haoyu He ,  Jing Liu ,  Jianfei Cai ,  and  Bohan Zhuang

   arXiv preprint arXiv:2111.11124, 2021

   arXiv Bib Code

   @article{pan2021mesa,
     title = {Mesa: A memory-saving training framework for transformers},
     author = {Pan, Zizheng and Chen, Peng and He, Haoyu and Liu, Jing and Cai, Jianfei and Zhuang, Bohan},
     journal = {arXiv preprint arXiv:2111.11124},
     year = {2021},
   }

4. TPAMI

   Discrimination-aware network pruning for deep model compression

   Jing Liu* ,  Bohan Zhuang* ,  Zhuangwei Zhuang* ,  Yong Guo ,  Junzhou Huang ,  Jinhui Zhu ,  and  Mingkui Tan*

   IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021

   arXiv Bib Code

   @article{liu2021discrimination,
     title = {Discrimination-aware network pruning for deep model compression},
     author = {Liu*, Jing and Zhuang*, Bohan and Zhuang*, Zhuangwei and Guo, Yong and Huang, Junzhou and Zhu, Jinhui and Tan*, Mingkui},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
     volume = {44},
     number = {8},
     pages = {4035--4051},
     year = {2021},
   }

5. TPAMI

   Effective training of convolutional neural networks with low-bitwidth weights and activations

   Bohan Zhuang* ,  Mingkui Tan* ,  Jing Liu* ,  Lingqiao Liu ,  Ian Reid ,  and  Chunhua Shen

   IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021

   arXiv Bib Code

   @article{zhuang2021effective,
     title = {Effective training of convolutional neural networks with low-bitwidth weights and activations},
     author = {Zhuang*, Bohan and Tan*, Mingkui and Liu*, Jing and Liu, Lingqiao and Reid, Ian and Shen, Chunhua},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
     volume = {44},
     number = {10},
     pages = {6140--6152},
     year = {2021},
   }

6. CVPR Oral

   AQD: Towards Accurate Quantized Object Detection

   Peng Chen* ,  Jing Liu* ,  Bohan Zhuang ,  Mingkui Tan ,  and  Chunhua Shen

   In Conference on Computer Vision and Pattern Recognition (CVPR) , 2021

   Oral Presentation (top 4% of the accepted papers)

   arXiv Bib Code

   @inproceedings{Chen_2021_CVPR,
     author = {Chen*, Peng and Liu*, Jing and Zhuang, Bohan and Tan, Mingkui and Shen, Chunhua},
     title = {AQD: Towards Accurate Quantized Object Detection},
     booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
     year = {2021},
     pages = {104-113},
     price = {Oral},
     long_price = {Oral Presentation (top 4% of the accepted papers)},
   }

2020

1. ECCV

   Deep transferring quantization

   Zheng Xie* ,  Zhiquan Wen* ,  Jing Liu* ,  Zhiqiang Liu ,  Xixian Wu ,  and  Mingkui Tan

   In European Conference on Computer Vision (ECCV) , 2020

   Bib PDF Code

   @inproceedings{xie2020deep,
     title = {Deep transferring quantization},
     author = {Xie*, Zheng and Wen*, Zhiquan and Liu*, Jing and Liu, Zhiqiang and Wu, Xixian and Tan, Mingkui},
     booktitle = {European Conference on Computer Vision (ECCV)},
     pages = {625--642},
     year = {2020},
   }

2. ECCV

   Generative low-bitwidth data free quantization

   Shoukai Xu* ,  Haokun Li* ,  Bohan Zhuang* ,  Jing Liu ,  Jiezhang Cao ,  Chuangrun Liang ,  and  Mingkui Tan

   In European Conference on Computer Vision (ECCV) , 2020

   arXiv Bib Code

   @inproceedings{xu2020generative,
     title = {Generative low-bitwidth data free quantization},
     author = {Xu*, Shoukai and Li*, Haokun and Zhuang*, Bohan and Liu, Jing and Cao, Jiezhang and Liang, Chuangrun and Tan, Mingkui},
     booktitle = {European Conference on Computer Vision (ECCV)},
     pages = {1--17},
     year = {2020},
   }

2018

1. NeurIPS

   Discrimination-aware Channel Pruning for Deep Neural Networks

   Zhuangwei Zhuang* ,  Mingkui Tan* ,  Bohan Zhuang* ,  Jing Liu* ,  Yong Guo ,  Qingyao Wu ,  Junzhou Huang ,  and  Jinhui Zhu

   In Conference on Neural Information Processing Systems (NeurIPS) , 2018

   arXiv Bib Code

   @incollection{zhuang2018discrimination,
     title = {Discrimination-aware Channel Pruning for Deep Neural Networks},
     author = {Zhuang*, Zhuangwei and Tan*, Mingkui and Zhuang*, Bohan and Liu*, Jing and Guo, Yong and Wu, Qingyao and Huang, Junzhou and Zhu, Jinhui},
     booktitle = {Conference on Neural Information Processing Systems (NeurIPS)},
     pages = {881--892},
     year = {2018},
   }