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Haotong Qin
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2020 – today
- 2024
- [j10]Aishan Liu
, Shiyu Tang, Xinyun Chen, Lei Huang, Haotong Qin
Towards Defending Multiple ℓ p-Norm Bounded Adversarial Perturbations via Gated Batch Normalization. Int. J. Comput. Vis. 132(6): 1881-1898 (2024) - [j9]Jiakai Wang, Xianglong Liu, Zixin Yin, Yuxuan Wang, Jun Guo, Haotong Qin, Qingtao Wu, Aishan Liu:
Generate Transferable Adversarial Physical Camouflages via Triplet Attention Suppression. Int. J. Comput. Vis. 132(11): 5084-5100 (2024) - [j8]Haotong Qin
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10674-10686 (2024) - [c22]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: 8719-8730 - [c21]Jinyang Guo, Jianyu Wu, Zining Wang, Jiaheng Liu, Ge Yang, Yifu Ding, Ruihao Gong, Haotong Qin, Xianglong Liu:
Compressing Large Language Models by Joint Sparsification and Quantization. ICML 2024 - [c20]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. ICML 2024 - [c19]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. ICML 2024 - [c18]Yulun Zhang, Haotong Qin, Zixiang Zhao, Xianglong Liu, Martin Danelljan, Fisher Yu:
Flexible Residual Binarization for Image Super-Resolution. ICML 2024 - [c17]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. ICML 2024 - [c16]Haodi Wang, Kai Dong, Zhilei Zhu, Haotong Qin, Aishan Liu, Xiaolin Fang, Jiakai Wang, Xianglong Liu:
Transferable Multimodal Attack on Vision-Language Pre-training Models. SP 2024: 1722-1740 - [i33]Zixiang Zhao, Lilun Deng, Haowen Bai, Yukun Cui, Zhipeng Zhang, Yulun Zhang, Haotong Qin
Image Fusion via Vision-Language Model. CoRR abs/2402.02235 (2024) - [i32]Wei Huang, Yangdong Liu, Haotong Qin
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs. CoRR abs/2402.04291 (2024) - [i31]Haotong Qin
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention. CoRR abs/2402.05445 (2024) - [i30]Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin
DB-LLM: Accurate Dual-Binarization for Efficient LLMs. CoRR abs/2402.11960 (2024) - [i29]Jinyan Hou, Shan Liu, Ya Zhang, Haotong Qin
Graph Construction with Flexible Nodes for Traffic Demand Prediction. CoRR abs/2403.00276 (2024) - [i28]Xingyu Zheng, Haotong Qin
BinaryDM: Towards Accurate Binarization of Diffusion Model. CoRR abs/2404.05662 (2024) - [i27]Wei Huang, Xudong Ma, Haotong Qin
How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study. CoRR abs/2404.14047 (2024) - [i26]Wei Huang, Haotong Qin
SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models. CoRR abs/2405.14917 (2024) - [i25]Zheng Chen, Haotong Qin
Binarized Diffusion Model for Image Super-Resolution. CoRR abs/2406.05723 (2024) - [i24]Kai Liu, Haotong Qin
2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution. CoRR abs/2406.06649 (2024) - [i23]Ruihao Gong, Yifu Ding, Zining Wang, Chengtao Lv, Xingyu Zheng, Jinyang Du, Haotong Qin, Jinyang Guo, Michele Magno, Xianglong Liu:
A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithms. CoRR abs/2409.16694 (2024) - [i22]Zhiteng Li, Xianglong Yan, Tianao Zhang, Haotong Qin, Dong Xie, Jiang Tian, Zhongchao Shi, Linghe Kong, Yulun Zhang, Xiaokang Yang:
ARB-LLM: Alternating Refined Binarizations for Large Language Models. CoRR abs/2410.03129 (2024) - 2023
- [j7]Haotong Qin
How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges. Mach. Intell. Res. 20(5): 605-613 (2023) - [j6]Haotong Qin
Distribution-Sensitive Information Retention for Accurate Binary Neural Network. Int. J. Comput. Vis. 131(1): 26-47 (2023) - [j5]Haotong Qin
Diverse Sample Generation: Pushing the Limit of Generative Data-Free Quantization. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11689-11706 (2023) - [j4]Yisong Xiao
RobustMQ: benchmarking robustness of quantized models. Vis. Intell. 1(1) (2023) - [c15]Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu:
BiBench: Benchmarking and Analyzing Network Binarization. ICML 2023: 28351-28388 - [c14]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 - [c13]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 - [i21]Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu:
BiBench: Benchmarking and Analyzing Network Binarization. CoRR abs/2301.11233 (2023) - [i20]Yifu Ding, Haotong Qin
Towards Accurate Post-Training Quantization for Vision Transformer. CoRR abs/2303.14341 (2023) - [i19]Yisong Xiao, Tianyuan Zhang, Shunchang Liu, Haotong Qin
Benchmarking the Robustness of Quantized Models. CoRR abs/2304.03968 (2023) - [i18]Haotong Qin
How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges. CoRR abs/2307.15016 (2023) - [i17]Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin
RobustMQ: Benchmarking Robustness of Quantized Models. CoRR abs/2308.02350 (2023) - [i16]Wei Huang, Haotong Qin
OHQ: On-chip Hardware-aware Quantization. CoRR abs/2309.01945 (2023) - [i15]Zhiteng Li, Yulun Zhang, Jing Lin, Haotong Qin
Binarized 3D Whole-body Human Mesh Recovery. CoRR abs/2311.14323 (2023) - [i14]Yi Guo, Yiqian He, Xiaoyang Li, Haotong Qin
RdimKD: Generic Distillation Paradigm by Dimensionality Reduction. CoRR abs/2312.08700 (2023) - 2022
- [c12]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: 171-177 - [c11]Jiakai Wang, Zixin Yin, Pengfei Hu, Aishan Liu, Renshuai Tao, Haotong Qin
Defensive Patches for Robust Recognition in the Physical World. CVPR 2022: 2446-2455 - [c10]Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu:
BiBERT: Accurate Fully Binarized BERT. ICLR 2022 - [c9]Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li
BiFSMN: Binary Neural Network for Keyword Spotting. IJCAI 2022: 4346-4352 - [c8]Yifu Ding, Haotong Qin
Towards Accurate Post-Training Quantization for Vision Transformer. ACM Multimedia 2022: 5380-5388 - [i13]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 abs/2202.06483 (2022) - [i12]Haotong Qin
BiBERT: Accurate Fully Binarized BERT. CoRR abs/2203.06390 (2022) - [i11]Jiakai Wang, Zixin Yin, Pengfei Hu, Aishan Liu, Renshuai Tao, Haotong Qin
Defensive Patches for Robust Recognition in the Physical World. CoRR abs/2204.06213 (2022) - [i10]Haotong Qin
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance. CoRR abs/2211.06987 (2022) - 2021
- [j3]Yan Wu, Jiaxin Fan, Renshuai Tao, Jiakai Wang, Haotong Qin
Sequential alignment attention model for scene text recognition. J. Vis. Commun. Image Represent. 80: 103289 (2021) - [j2]Yan Wu, Xianglong Liu
Boosting Temporal Binary Coding for Large-Scale Video Search. IEEE Trans. Multim. 23: 353-364 (2021) - [c7]Xiangguo Zhang, Haotong Qin
Diversifying Sample Generation for Accurate Data-Free Quantization. CVPR 2021: 15658-15667 - [c6]Renshuai Tao, Yanlu Wei, Xiangjian Jiang, Hainan Li, Haotong Qin
Towards Real-world X-ray Security Inspection: A High-Quality Benchmark And Lateral Inhibition Module For Prohibited Items Detection. ICCV 2021: 10903-10912 - [c5]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 - [c4]Hainan Li, Renshuai Tao, Jun Li, Haotong Qin
Multi-Pretext Attention Network For Few-Shot Learning With Self-Supervision. ICME 2021: 1-6 - [c3]Haotong Qin:
Hardware-friendly Deep Learning by Network Quantization and Binarization. IJCAI 2021: 4911-4912 - [c2]Zixin Yin, Jiakai Wang, Yifu Ding, Yisong Xiao, Jun Guo
Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization. AdvM @ ACM Multimedia 2021: 21-27 - [i9]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 abs/2103.00809 (2021) - [i8]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 abs/2103.01049 (2021) - [i7]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 abs/2103.05985 (2021) - [i6]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 abs/2108.09917 (2021) - [i5]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 abs/2109.00212 (2021) - [i4]Haotong Qin, Xiangguo Zhang, Ruihao Gong, Yifu Ding, Yi Xu, Xianglong Liu:
Distribution-sensitive Information Retention for Accurate Binary Neural Network. CoRR abs/2109.12338 (2021) - [i3]Haotong Qin:
Hardware-friendly Deep Learning by Network Quantization and Binarization. CoRR abs/2112.00737 (2021) - 2020
- [j1]Haotong Qin
Binary neural networks: A survey. Pattern Recognit. 105: 107281 (2020) - [c1]Haotong Qin
Forward and Backward Information Retention for Accurate Binary Neural Networks. CVPR 2020: 2247-2256 - [i2]Haotong Qin, Ruihao Gong, Xianglong Liu, Xiao Bai, Jingkuan Song, Nicu Sebe:
Binary Neural Networks: A Survey. CoRR abs/2004.03333 (2020) - [i1]Haotong Qin, Zhongang Cai, Mingyuan Zhang, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Liu, Hao Su:
BiPointNet: Binary Neural Network for Point Clouds. CoRR abs/2010.05501 (2020)
Coauthor Index
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last updated on 2024-11-11 21:27 CET by the dblp team
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