Publications

Equal Contribution, *Corresponding Author(s)

2024

  1. How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study
    Wei Huang, Xudong Ma, Haotong Qin*, Xingyu Zheng, Chengtao Lv, Hong Chen, Jie Luo, Xiaojuan Qi, Xianglong Liu, Michele Magno
    In arXiv preprint arXiv:2404.14047 (arXiv), 2024
  2. 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 arXiv preprint arXiv:2402.05445 (arXiv), 2024
  3. 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 arXiv preprint arXiv:2402.04291 (arXiv), 2024
  4. BinaryDM: Towards Accurate Binarization of Diffusion Model
    Xingyu Zheng, Haotong Qin, Xudong Ma, Mingyuan Zhang, Haojie Hao, Jiakai Wang, Zixiang Zhao, Jinyang Guo, Xianglong Liu
    In arXiv preprint arXiv:2404.05662 (arXiv), 2024
  5. OHQ: On-chip Hardware-aware Quantization
    Wei Huang, Haotong Qin, Yangdong Liu, Jingzhuo Liang, Yulun Zhang, Ying Li, Xianglong Liu
    In arXiv preprint arXiv:2309.01945 (arXiv), 2024
  6. 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 arXiv preprint arXiv:2402.02235 (arXiv), 2024
  7. 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 arXiv preprint arXiv:2402.11960 (arXiv), 2024
  8. Graph Construction with Flexible Nodes for Traffic Demand Prediction
    Jinyan Hou, Shan Liu, Ya Zhang, Haotong Qin
    In arXiv preprint arXiv:2403.00276 (arXiv), 2024
  9. 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
  10. 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

2023

  1. Binarized 3D Whole-body Human Mesh Recovery
    Zhiteng Li, Yulun Zhang, Jing Lin, Haotong Qin, Jinjin Gu, Xin Yuan, Linghe Kong, Xiaokang Yang
    In arXiv preprint arXiv:2311.14323 (arXiv), 2023
  2. RdimKD: Generic Distillation Paradigm by Dimensionality Reduction
    Yi Guo, Yiqian He, Xiaoyang Li, Haotong Qin, Van Tung Pham, Yang Zhang, Shouda Liu
    In arXiv preprint arXiv:2312.08700 (arXiv), 2023
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. RobustMQ: Benchmarking Robustness of Quantized Models
    Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu
    In Visual Intelligence (VI), 2023
  10. 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
  11. 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
  12. 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
  13. Benchmarking the Robustness of Quantized Models
    Yisong Xiao, Tianyuan Zhang, Shunchang Liu, Haotong Qin
    In Computer Vision and Pattern Recognition Workshop (CVPR), 2023

2022

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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

2021

  1. 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
  2. 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
  3. 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
  4. Hardware-friendly Deep Learning by Network Quantization and Binarization
    Haotong Qin
    In International Joint Conference on Artificial Intelligence Doctoral Consortium (IJCAIDC), 2021
  5. 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
  6. 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
  7. 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

2020

  1. Binary Neural Networks: A Survey
    Haotong Qin, Ruihao Gong, Xianglong Liu, Xiao Bai, Jingkuan Song, Nicu Sebe
    In Pattern Recognition (PR), 2020
  2. 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
  3. 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