Publications

†Equal Contribution, *Corresponding Author(s)

2025

  1. AAAI
    MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models
    Weilun Feng†, Haotong Qin†, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Renshuai Tao, Yongjun Xu, Michele Magno
    In AAAI Conference on Artificial Intelligence (AAAI Oral), 2025
    PDF Code
  2. AAAI
    ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks
    Renshuai Tao, Manyi Le, Chuangchuang Tan, Huan Liu, Haotong Qin*, Yao Zhao
    In AAAI Conference on Artificial Intelligence (AAAI Oral), 2025
    PDF

2024

  1. VI
    An Empirical Study of LLaMA3 Quantization: From LLMs to MLLMs
    Wei Huang, Xingyu Zheng, Xudong Ma, Haotong Qin*, Chengtao Lv, Hong Chen, Jie Luo, Xiaojuan Qi, Xianglong Liu, Michele Magno
    In Visual Intelligence (VI), 2024
    PDF Code Models
  2. IJCV
    Generate Transferable Adversarial Physical Camouflages via Triplet Attention Suppression
    Jiakai Wang, Xianglong Liu, Zixin Yin, Yuxuan Wang, Jun Guo, Haotong Qin, Qingtao Wu, Aishan Liu
    In International Journal of Computer Vision (IJCV), 2024
    PDF
  3. AAAI
    MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models
    Weilun Feng†, Haotong Qin†, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Renshuai Tao, Yongjun Xu, Michele Magno
    In AAAI Conference on Artificial Intelligence (AAAI), 2025
    PDF Code
  4. AAAI
    ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks
    Renshuai Tao, Manyi Le, Chuangchuang Tan, Huan Liu, Haotong Qin*, Yao Zhao
    In AAAI Conference on Artificial Intelligence (AAAI), 2025
    PDF
  5. NeurIPS
    Binarized Diffusion Model for Image Super-Resolution
    Zheng Chen, Haotong Qin*, Yong Guo, Xiongfei Su, Xin Yuan, Linghe Kong, Yulun Zhang*
    In Conference on Neural Information Processing Systems (NeurIPS), 2024
    PDF Code
  6. NeurIPS
    BiDM: Pushing the Limit of Quantization for Diffusion Models
    Xingyu Zheng, Xianglong Liu, Yichen Bian, Xudong Ma, Yulun Zhang, Jiakai Wang, Jinyang Guo, Haotong Qin
    In Conference on Neural Information Processing Systems (NeurIPS), 2024
    PDF Code
  7. NeurIPS
    2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution
    Kai Liu, Haotong Qin, Yong Guo, Xin Yuan, Linghe Kong, Guihai Chen, Yulun Zhang
    In Conference on Neural Information Processing Systems (NeurIPS), 2024
    PDF Code
  8. NeurIPS
    LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
    Jinyang Guo, Ge Yang, Changyi He, Jianyu Wu, Yifu Ding, Aishan Liu, Haotong Qin, Pengliang Ji, Xianglong Liu
    In Conference on Neural Information Processing Systems Datasets and Benchmarks Track (NeurIPS Spotlight), 2024
    PDF Code
  9. NeurIPSW
    BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models
    Xingyu Zheng, Xianglong Liu, Haotong Qin, Xudong Ma, Mingyuan Zhang, Haojie Hao, Jiakai Wang, Zixiang Zhao, Jinyang Guo, Michele Magno
    In Conference on Neural Information Processing Systems Workshop (NeurIPSW), 2024
    PDF Code
  10. ICML
    Accurate LoRA-Finetuning Quantization of LLMs via Information Retention
    Haotong Qin†, Xudong Ma†, Xingyu Zheng, Xiaoyang Li, Yang Zhang, Shouda Liu, Jie Luo, Xianglong Liu, Michele Magno
    In International Conference on Machine Learning (ICML Oral), 2024
    PDF Code
  11. ICML
    BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
    Wei Huang, Yangdong Liu, Haotong Qin*, Ying Li, Shiming Zhang, Xianglong Liu, Michele Magno, Xiaojuan Qi
    In International Conference on Machine Learning (ICML), 2024
    PDF Code IEEE Spectrum
  12. ICML
    Flexible Residual Binarization for Image Super-Resolution
    Yulun Zhang†, Haotong Qin†, Zixiang Zhao, Xianglong Liu, Martin Danelljan, Fisher Yu
    In International Conference on Machine Learning (ICML), 2024
    PDF
  13. ICML
    Compressing Large Language Models by Joint Sparsification and Quantization
    Jinyang Guo, Jianyu Wu, Zining Wang, Jiaheng Liu, Ge Yang, Yifu Ding, Ruihao Gong, Haotong Qin, Xianglong Liu
    In International Conference on Machine Learning (ICML), 2024
    PDF
  14. ICML
    Image Fusion via Vision-Language Model
    Zixiang Zhao, Lilun Deng, Haowen Bai, Yukun Cui, Zhipeng Zhang, Yulun Zhang, Haotong Qin, Dongdong Chen, Jiangshe Zhang, PENG WANG, Luc Van Gool
    In International Conference on Machine Learning (ICML), 2024
    PDF
  15. ACL
    DB-LLM: Accurate Dual-Binarization for Efficient LLMs
    Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao
    In Annual Meeting of the Association for Computational Linguistics (ACL Finding), 2024
    PDF
  16. IEEE S&P
    Transferable Multimodal Attack on Vision-Language
    Haodi Wang, Jiakai Wang, Kai Dong, Zhilei Zhu, Haotong Qin, Xiaolin Fang, Aishan Liu, Xianglong Liu
    In IEEE Symposium on Security and Privacy (S&P), 2024
    PDF

2023

  1. TPAMI
    Diverse Sample Generation: Pushing the Limit of Generative Data-free Quantization
    Haotong Qin, Yifu Ding, Xiangguo Zhang, Jiakai Wang, Xianglong Liu, Jiwen Lu
    In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
    PDF Code
  2. IJCV
    Distribution-sensitive Information Retention for Accurate Binary Neural Network
    Haotong Qin, Xiangguo Zhang, Ruihao Gong, Yifu Ding, Yi Xu, Xianglong Liu
    In International Journal of Computer Vision (IJCV), 2023
    PDF
  3. TNNLS
    BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance
    Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Zejun Ma, Jiakai Wang, Jie Luo, Xianglong Liu
    In IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
    PDF Code
  4. MIR
    How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges
    Haotong Qin†, Ge-Peng Ji†, Salman Khan, Deng-Ping Fan, Fahad Shahbaz Khan, Luc Van Gool
    In Machine Intelligence Research (MIR), 2023
    PDF Code
  5. IJCV
    Towards Defending Multiple Lp-norm Bounded Adversarial Perturbations via Gated Batch Normalization
    Aishan Liu, Shiyu Tang, Xinyun Chen, Lei Huang, Haotong Qin, Xianglong Liu, Dacheng Tao
    In International Journal of Computer Vision (IJCV), 2023
    PDF
  6. SCIS
    SeeMore: a Spatio-temporal Predictive Model with Bidirectional Distillation and Level-specific Meta Adaptation
    Yuqing Ma, Wei Liu, Yajun Gao, Yang Yuan, Shihao Bai, Haotong Qin, Xianglong Liu
    In SCIENCE CHINA Information Sciences (SCIS), 2023
    PDF Code
  7. VI
    RobustMQ: Benchmarking Robustness of Quantized Models
    Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu
    In Visual Intelligence (VI), 2023
    PDF
  8. ICML
    BiBench: Benchmarking and Analyzing Network Binarization
    Haotong Qin†, Mingyuan Zhang†, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu
    In International Conference on Machine Learning (ICML), 2023
    PDF Code
  9. NeurIPS
    QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution
    Haotong Qin†, Yulun Zhang†, Yifu Ding, Yifan Liu, Xianglong Liu, Martin Danelljan, Fisher Yu
    In Conference on Neural Information Processing Systems (NeurIPS Spotlight), 2023
    PDF Code
  10. NeurIPS
    BiMatting: Efficient Video Matting via Binarization
    Haotong Qin†, Lei Ke†, Xudong Ma, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Xianglong Liu, Fisher Yu
    In Conference on Neural Information Processing Systems (NeurIPS), 2023
    PDF Code
  11. CVPRW
    Benchmarking the Robustness of Quantized Models
    Yisong Xiao, Tianyuan Zhang, Shunchang Liu, Haotong Qin
    In Computer Vision and Pattern Recognition Workshop (CVPRW), 2023
    PDF

2022

  1. ICLR
    BiBERT: Accurate Fully Binarized BERT
    Haotong Qin†, Yifu Ding†, Mingyuan Zhang†, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu
    In International Conference on Learning Representations (ICLR), 2022
    PDF Code
  2. IJCAI
    BiFSMN: Binary Neural Network for Keyword Spotting
    Haotong Qin†, Xudong Ma†, Yifu Ding†, Xiaoyang Li, Yang Zhang, Yao Tian, Zejun Ma, Jie Luo, Xianglong Liu
    In International Joint Conference on Artificial Intelligence (IJCAI), 2022
    PDF Code
  3. CVPRW
    An Empirical Study of Data-Free Quantization's Tuning Robustness
    Hong Chen, Yuxuan Wen, Yifu Ding, Zhen Yang, Yufei Guo, Haotong Qin*
    In Computer Vision and Pattern Recognition Workshop (CVPRW), 2022
    PDF
  4. ACM MM
    Towards Accurate Post-Training Quantizationfor Vision Transformer
    Yifu Ding, Haotong Qin, Qinghua Yan, Zhenhua Chai, Junjie Liu, Xiaolin Wei, Xianglong Liu
    In ACM Multimedia (ACM MM), 2022
    PDF
  5. CVPR
    Defensive Patches for Robust Recognition in the Physical World
    Jiakai Wang, Zixin Yin, Pengfei Hu, Renshuai Tao, Haotong Qin, Xianglong Liu, Dacheng Tao, Aishan Liu
    In Computer Vision and Pattern Recognition (CVPR), 2022
    PDF Code

2021

  1. JVCI
    Sequential Alignment Attention Model for Scene Text Recognition
    Yan Wu, Jiaxin Fan, Renshuai Tao*, Jiakai Wang, Haotong Qin, Aishan Liu, Xianglong Liu
    In Journal of Visual Communication and Image Representation (JVCI), 2021
    PDF
  2. ICLR
    BiPointNet: Binary Neural Network for Point Clouds
    Haotong Qin†, Zhongang Cai†, Mingyuan Zhang†, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Liu, Hao Su
    In International Conference on Learning Representations (ICLR), 2021
    PDF Code
  3. CVPR
    Diversifying Sample Generation for Accurate Data-Free Quantization
    Xiangguo Zhang†, Haotong Qin†, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu
    In Computer Vision and Pattern Recognition (CVPR Oral), 2021
    PDF Code
  4. IJCAIDC
    Hardware-friendly Deep Learning by Network Quantization and Binarization
    Haotong Qin
    In International Joint Conference on Artificial Intelligence Doctoral Consortium (IJCAIDC), 2021
    PDF
  5. ICCV
    Towards Real-world X-ray Security Inspection: A High-quality Benchmark and Lateral Inhibition Module for Prohibited Items Detection
    Renshuai Tao, Yanlu Wei, Xiangjian Jiang, Hainan Li, Haotong Qin, Jiakai Wang, Yuqing Ma, Libo Zhang, Xianglong Liu
    In International Conference on Computer Vision (ICCV), 2021
    PDF Code
  6. ACM MMW
    Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization
    Zixin Yin, Jiakai Wang, Yifu Ding, Yisong Xiao, Jun Guo, Renshuai Tao, Haotong Qin
    In ACM Multimedia Workshop (ACM MMW), 2021
    PDF
  7. ICME
    Multi-Pretext Attention Network for Few-shot Learning with Self-supervision
    Hainan Li, Renshuai Tao, Jun Li, Haotong Qin, Yifu Ding, Shuo Wang, Xianglong Liu
    In International Conference on Multimedia and Expo (ICME), 2021
    PDF

2020

  1. PR
    Binary Neural Networks: A Survey
    Haotong Qin, Ruihao Gong, Xianglong Liu, Xiao Bai, Jingkuan Song, Nicu Sebe
    In Pattern Recognition (PR), 2020
    PDF Code
  2. TMM
    Boosting Temporal Binary Coding for Large-scale Video Search
    Yan Wu, Xianglong Liu, Haotong Qin, Ke Xia, Sheng Hu, Yuqing Ma, Meng Wang
    In IEEE Transactions on Multimedia (TMM), 2020
    PDF
  3. CVPR
    Forward and Backward Information Retention for Accurate Binary Neural Networks
    Haotong Qin, Ruihao Gong, Xianglong Liu, Mingzhu Shen, Ziran Wei, Fengwei Yu, Jingkuan Song
    In Computer Vision and Pattern Recognition (CVPR), 2020
    PDF Code