Haotong Qin

According to our database, Haotong Qin authored at least 34 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Graph Construction with Flexible Nodes for Traffic Demand Prediction.

Jinyan Hou, Shan Liu, Ya Zhang, Haotong Qin

CoRR, 2024

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

CoRR, 2024

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

CoRR, 2024

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

CoRR, 2024

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

CoRR, 2024

2023

Diverse Sample Generation: Pushing the Limit of Generative Data-Free Quantization.

Haotong Qin, Yifu Ding, Xiangguo Zhang, Jiakai Wang, Xianglong Liu, Jiwen Lu

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

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

Mach. Intell. Res., October, 2023

RobustMQ: benchmarking robustness of quantized models.

Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu

Vis. Intell., 2023

Distribution-Sensitive Information Retention for Accurate Binary Neural Network.

Haotong Qin, Xiangguo Zhang, Ruihao Gong, Yifu Ding, Yi Xu, Xianglong Liu

Int. J. Comput. Vis., 2023

RdimKD: Generic Distillation Paradigm by Dimensionality Reduction.

Yi Guo, Yiqian He, Xiaoyang Li, Haotong Qin, Van Tung Pham, Yang Zhang, Shouda Liu

CoRR, 2023

Binarized 3D Whole-body Human Mesh Recovery.

Zhiteng Li, Yulun Zhang, Jing Lin, Haotong Qin, Jinjin Gu, Xin Yuan, Linghe Kong, Xiaokang Yang

CoRR, 2023

OHQ: On-chip Hardware-aware Quantization.

Wei Huang, Haotong Qin, Yangdong Liu, Jingzhuo Liang, Yifu Ding, Ying Li, Xianglong Liu

CoRR, 2023

Benchmarking the Robustness of Quantized Models.

Yisong Xiao, Tianyuan Zhang, Shunchang Liu, Haotong Qin

CoRR, 2023

QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution.

Haotong Qin, Yulun Zhang, Yifu Ding, Yifan Liu, Xianglong Liu, Martin Danelljan, Fisher Yu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BiMatting: Efficient Video Matting via Binarization.

Haotong Qin, Lei Ke, Xudong Ma, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Xianglong Liu, Fisher Yu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BiBench: Benchmarking and Analyzing Network Binarization.

Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu

Proceedings of the International Conference on Machine Learning, 2023

2022

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

CoRR, 2022

Towards Accurate Post-Training Quantization for Vision Transformer.

Yifu Ding, Haotong Qin, Qinghua Yan, Zhenhua Chai, Junjie Liu, Xiaolin Wei, Xianglong Liu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

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

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

BiBERT: Accurate Fully Binarized BERT.

Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Defensive Patches for Robust Recognition in the Physical World.

Jiakai Wang, Zixin Yin, Pengfei Hu, Aishan Liu, Renshuai Tao, Haotong Qin, Xianglong Liu, Dacheng Tao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

An Empirical study of Data-Free Quantization's Tuning Robustness.

Hong Chen, Yuxuan Wen, Yifu Ding, Zhen Yang, Yufei Guo, Haotong Qin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Boosting Temporal Binary Coding for Large-Scale Video Search.

Yan Wu, Xianglong Liu, Haotong Qin, Ke Xia, Sheng Hu, Yuqing Ma, Meng Wang

IEEE Trans. Multim., 2021

Sequential alignment attention model for scene text recognition.

Yan Wu, Jiaxin Fan, Renshuai Tao, Jiakai Wang, Haotong Qin, Aishan Liu, Xianglong Liu

J. Vis. Commun. Image Represent., 2021

Diverse Sample Generation: Pushing the Limit of Data-free Quantization.

Haotong Qin, Yifu Ding, Xiangguo Zhang, Aoyu Li, Jiakai Wang, Xianglong Liu, Jiwen Lu

CoRR, 2021

Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images.

Renshuai Tao, Yanlu Wei, Hainan Li, Aishan Liu, Yifu Ding, Haotong Qin, Xianglong Liu

CoRR, 2021

Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization.

Zixin Yin, Jiakai Wang, Yifu Ding, Yisong Xiao, Jun Guo, Renshuai Tao, Haotong Qin

Proceedings of the ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, 2021

Hardware-friendly Deep Learning by Network Quantization and Binarization.

Haotong Qin

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

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

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

BiPointNet: Binary Neural Network for Point Clouds.

Haotong Qin, Zhongang Cai, Mingyuan Zhang, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Liu, Hao Su

Proceedings of the 9th International Conference on Learning Representations, 2021

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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Binary neural networks: A survey.

Haotong Qin, Ruihao Gong, Xianglong Liu, Xiao Bai, Jingkuan Song, Nicu Sebe

Pattern Recognit., 2020

Forward and Backward Information Retention for Accurate Binary Neural Networks.

Haotong Qin, Ruihao Gong, Xianglong Liu, Mingzhu Shen, Ziran Wei, Fengwei Yu, Jingkuan Song

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020