Haotong Qin

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 56

Top Topics

Diffusion Model

Laplace Beltrami

Robust Recognition

Top Venues

Int. J. Comput. Vis.

Publications

Zixiang Zhao, Lilun Deng, Haowen Bai, Yukun Cui, Zhipeng Zhang, Yulun Zhang, Haotong Qin, Dongdong Chen, Jiangshe Zhang, Peng Wang, Luc Van Gool
Image Fusion via Vision-Language Model. CoRR (2024)
Aishan Liu, Shiyu Tang, Xinyun Chen, Lei Huang, Haotong Qin, Xianglong Liu, Dacheng Tao
-Norm Bounded Adversarial Perturbations via Gated Batch Normalization. Int. J. Comput. Vis. 132 (6) (2024)
Kai Liu, Haotong Qin, Yong Guo, Xin Yuan, Linghe Kong, Guihai Chen, Yulun Zhang
2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution. CoRR (2024)
Wei Huang, Haotong Qin, Yangdong Liu, Yawei Li, Xianglong Liu, Luca Benini, Michele Magno, Xiaojuan Qi
SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models. CoRR (2024)
Haotong Qin, Xudong Ma, Xingyu Zheng, Xiaoyang Li, Yang Zhang, Shouda Liu, Jie Luo, Xianglong Liu, Michele Magno
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention. CoRR (2024)
Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Zejun Ma, Jiakai Wang, Jie Luo, Xianglong Liu
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Wei Huang, Yangdong Liu, Haotong Qin, Ying Li, Shiming Zhang, Xianglong Liu, Michele Magno, Xiaojuan Qi
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs. CoRR (2024)
Jinyan Hou, Shan Liu, Ya Zhang, Haotong Qin
Graph Construction with Flexible Nodes for Traffic Demand Prediction. CoRR (2024)
Wei Huang, Xudong Ma, Haotong Qin, Xingyu Zheng, Chengtao Lv, Hong Chen, Jie Luo, Xiaojuan Qi, Xianglong Liu, Michele Magno
How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study. CoRR (2024)
Xingyu Zheng, Haotong Qin, Xudong Ma, Mingyuan Zhang, Haojie Hao, Jiakai Wang, Zixiang Zhao, Jinyang Guo, Xianglong Liu
BinaryDM: Towards Accurate Binarization of Diffusion Model. CoRR (2024)
Zheng Chen, Haotong Qin, Yong Guo, Xiongfei Su, Xin Yuan, Linghe Kong, Yulun Zhang
Binarized Diffusion Model for Image Super-Resolution. CoRR (2024)
Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao
DB-LLM: Accurate Dual-Binarization for Efficient LLMs. ACL (Findings) (2024)
Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao
DB-LLM: Accurate Dual-Binarization for Efficient LLMs. CoRR (2024)
Haotong Qin, Yulun Zhang, Yifu Ding, Yifan Liu, Xianglong Liu, Martin Danelljan, Fisher Yu
QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution. NeurIPS (2023)
Yisong Xiao, Tianyuan Zhang, Shunchang Liu, Haotong Qin
Benchmarking the Robustness of Quantized Models. CoRR (2023)
Haotong Qin, Lei Ke, Xudong Ma, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Xianglong Liu, Fisher Yu
BiMatting: Efficient Video Matting via Binarization. NeurIPS (2023)
Haotong Qin, Ge-Peng Ji, Salman Khan, Deng-Ping Fan, Fahad Shahbaz Khan, Luc Van Gool
How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges. Mach. Intell. Res. 20 (5) (2023)
Haotong Qin, Xiangguo Zhang, Ruihao Gong, Yifu Ding, Yi Xu, Xianglong Liu
Distribution-Sensitive Information Retention for Accurate Binary Neural Network. Int. J. Comput. Vis. 131 (1) (2023)
Haotong Qin, Yifu Ding, Xiangguo Zhang, Jiakai Wang, Xianglong Liu, Jiwen Lu
Diverse Sample Generation: Pushing the Limit of Generative Data-Free Quantization. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu
BiBench: Benchmarking and Analyzing Network Binarization. ICML (2023)
Haotong Qin, Ge-Peng Ji, Salman H. Khan, Deng-Ping Fan, Fahad Shahbaz Khan, Luc Van Gool
How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges. CoRR (2023)
Wei Huang, Haotong Qin, Yangdong Liu, Jingzhuo Liang, Yifu Ding, Ying Li, Xianglong Liu
OHQ: On-chip Hardware-aware Quantization. CoRR (2023)
Yifu Ding, Haotong Qin, Qinghua Yan, Zhenhua Chai, Junjie Liu, Xiaolin Wei, Xianglong Liu
Towards Accurate Post-Training Quantization for Vision Transformer. CoRR (2023)
Zhiteng Li, Yulun Zhang, Jing Lin, Haotong Qin, Jinjin Gu, Xin Yuan, Linghe Kong, Xiaokang Yang
Binarized 3D Whole-body Human Mesh Recovery. CoRR (2023)
Yi Guo, Yiqian He, Xiaoyang Li, Haotong Qin, Van Tung Pham, Yang Zhang, Shouda Liu
RdimKD: Generic Distillation Paradigm by Dimensionality Reduction. CoRR (2023)
Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu
BiBench: Benchmarking and Analyzing Network Binarization. CoRR (2023)
Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu
RobustMQ: benchmarking robustness of quantized models. Vis. Intell. 1 (1) (2023)
Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu
RobustMQ: Benchmarking Robustness of Quantized Models. CoRR (2023)
Hong Chen, Yuxuan Wen, Yifu Ding, Zhen Yang, Yufei Guo, Haotong Qin
An Empirical study of Data-Free Quantization's Tuning Robustness. CVPR Workshops (2022)
Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu
BiBERT: Accurate Fully Binarized BERT. CoRR (2022)
Jiakai Wang, Zixin Yin, Pengfei Hu, Aishan Liu, Renshuai Tao, Haotong Qin, Xianglong Liu, Dacheng Tao
Defensive Patches for Robust Recognition in the Physical World. CVPR (2022)
Yifu Ding, Haotong Qin, Qinghua Yan, Zhenhua Chai, Junjie Liu, Xiaolin Wei, Xianglong Liu
Towards Accurate Post-Training Quantization for Vision Transformer. ACM Multimedia (2022)
Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Yao Tian, Zejun Ma, Jie Luo, Xianglong Liu
BiFSMN: Binary Neural Network for Keyword Spotting. CoRR (2022)
Jiakai Wang, Zixin Yin, Pengfei Hu, Aishan Liu, Renshuai Tao, Haotong Qin, Xianglong Liu, Dacheng Tao
Defensive Patches for Robust Recognition in the Physical World. CoRR (2022)
Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu
BiBERT: Accurate Fully Binarized BERT. ICLR (2022)
Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Zejun Ma, Jiakai Wang, Jie Luo, Xianglong Liu
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance. CoRR (2022)
Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Yao Tian, Zejun Ma, Jie Luo, Xianglong Liu
BiFSMN: Binary Neural Network for Keyword Spotting. IJCAI (2022)
Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu
Diversifying Sample Generation for Accurate Data-Free Quantization. CVPR (2021)
Haotong Qin
Hardware-friendly Deep Learning by Network Quantization and Binarization. CoRR (2021)
Haotong Qin, Zhongang Cai, Mingyuan Zhang, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Liu, Hao Su
BiPointNet: Binary Neural Network for Point Clouds. ICLR (2021)
Hainan Li, Renshuai Tao, Jun Li, Haotong Qin, Yifu Ding, Shuo Wang, Xianglong Liu
Multi-Pretext Attention Network for Few-shot Learning with Self-supervision. CoRR (2021)
Haotong Qin
Hardware-friendly Deep Learning by Network Quantization and Binarization. IJCAI (2021)
Zixin Yin, Jiakai Wang, Yifu Ding, Yisong Xiao, Jun Guo, Renshuai Tao, Haotong Qin
Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization. AdvM @ ACM Multimedia (2021)
Haotong Qin, Yifu Ding, Xiangguo Zhang, Aoyu Li, Jiakai Wang, Xianglong Liu, Jiwen Lu
Diverse Sample Generation: Pushing the Limit of Data-free Quantization. CoRR (2021)
Yan Wu, Xianglong Liu, Haotong Qin, Ke Xia, Sheng Hu, Yuqing Ma, Meng Wang
Boosting Temporal Binary Coding for Large-Scale Video Search. IEEE Trans. Multim. 23 (2021)
Renshuai Tao, Yanlu Wei, Xiangjian Jiang, Hainan Li, Haotong Qin, Jiakai Wang, Yuqing Ma, Libo Zhang, Xianglong Liu
Towards Real-world X-ray Security Inspection: A High-Quality Benchmark and Lateral Inhibition Module for Prohibited Items Detection. CoRR (2021)
Renshuai Tao, Yanlu Wei, Xiangjian Jiang, Hainan Li, Haotong Qin, Jiakai Wang, Yuqing Ma, Libo Zhang, Xianglong Liu
Towards Real-world X-ray Security Inspection: A High-Quality Benchmark And Lateral Inhibition Module For Prohibited Items Detection. ICCV (2021)
Renshuai Tao, Yanlu Wei, Hainan Li, Aishan Liu, Yifu Ding, Haotong Qin, Xianglong Liu
Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images. CoRR (2021)
Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu
Diversifying Sample Generation for Accurate Data-Free Quantization. CoRR (2021)
Hainan Li, Renshuai Tao, Jun Li, Haotong Qin, Yifu Ding, Shuo Wang, Xianglong Liu
Multi-Pretext Attention Network For Few-Shot Learning With Self-Supervision. ICME (2021)
Haotong Qin, Xiangguo Zhang, Ruihao Gong, Yifu Ding, Yi Xu, Xianglong Liu
Distribution-sensitive Information Retention for Accurate Binary Neural Network. CoRR (2021)
Yan Wu, Jiaxin Fan, Renshuai Tao, Jiakai Wang, Haotong Qin, Aishan Liu, Xianglong Liu
Sequential alignment attention model for scene text recognition. J. Vis. Commun. Image Represent. 80 (2021)
Haotong Qin, Zhongang Cai, Mingyuan Zhang, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Liu, Hao Su
BiPointNet: Binary Neural Network for Point Clouds. CoRR (2020)
Haotong Qin, Ruihao Gong, Xianglong Liu, Xiao Bai, Jingkuan Song, Nicu Sebe
Binary Neural Networks: A Survey. CoRR (2020)
Haotong Qin, Ruihao Gong, Xianglong Liu, Mingzhu Shen, Ziran Wei, Fengwei Yu, Jingkuan Song
Forward and Backward Information Retention for Accurate Binary Neural Networks. CVPR (2020)
Haotong Qin, Ruihao Gong, Xianglong Liu, Xiao Bai, Jingkuan Song, Nicu Sebe
Binary neural networks: A survey. Pattern Recognit. 105 (2020)