Haotong Qin

Orcid: 0000-0001-7391-7539

According to our database¹, Haotong Qin authored at least 49 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Generate Transferable Adversarial Physical Camouflages via Triplet Attention Suppression.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., November, 2024

BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Towards Defending Multiple ℓ <sub>p</sub>-Norm Bounded Adversarial Perturbations via Gated Batch Normalization.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., June, 2024

GWQ: Gradient-Aware Weight Quantization for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment.

[BibT_eX]

[DOI]

CoRR, 2024

ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks.

[BibT_eX]

[DOI]

CoRR, 2024

ARB-LLM: Alternating Refined Binarizations for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithms.

[BibT_eX]

[DOI]

CoRR, 2024

2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2024

Binarized Diffusion Model for Image Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2024

SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study.

[BibT_eX]

[DOI]

CoRR, 2024

BinaryDM: Towards Accurate Binarization of Diffusion Model.

[BibT_eX]

[DOI]

CoRR, 2024

Graph Construction with Flexible Nodes for Traffic Demand Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

Transferable Multimodal Attack on Vision-Language Pre-training Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Image Fusion via Vision-Language Model.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Flexible Residual Binarization for Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Accurate LoRA-Finetuning Quantization of LLMs via Information Retention.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

BiLLM: Pushing the Limit of Post-Training Quantization for LLMs.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Compressing Large Language Models by Joint Sparsification and Quantization.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DB-LLM: Accurate Dual-Binarization for Efficient LLMs.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

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

[BibT_eX]

[DOI]

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

How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges.

[BibT_eX]

[DOI]

Mach. Intell. Res., October, 2023

RobustMQ: benchmarking robustness of quantized models.

[BibT_eX]

[DOI]

Vis. Intell., 2023

Distribution-Sensitive Information Retention for Accurate Binary Neural Network.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2023

RdimKD: Generic Distillation Paradigm by Dimensionality Reduction.

[BibT_eX]

[DOI]

CoRR, 2023

Binarized 3D Whole-body Human Mesh Recovery.

[BibT_eX]

[DOI]

CoRR, 2023

OHQ: On-chip Hardware-aware Quantization.

[BibT_eX]

[DOI]

CoRR, 2023

Benchmarking the Robustness of Quantized Models.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

Towards Accurate Post-Training Quantization for Vision Transformer.

[BibT_eX]

[DOI]

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

BiFSMN: Binary Neural Network for Keyword Spotting.

[BibT_eX]

[DOI]

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

BiBERT: Accurate Fully Binarized BERT.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Defensive Patches for Robust Recognition in the Physical World.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2021

Boosting Temporal Binary Coding for Large-Scale Video Search.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2021

Sequential alignment attention model for scene text recognition.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Haotong Qin

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

Multi-Pretext Attention Network For Few-Shot Learning With Self-Supervision.

[BibT_eX]

[DOI]

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

BiPointNet: Binary Neural Network for Point Clouds.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Diversifying Sample Generation for Accurate Data-Free Quantization.

[BibT_eX]

[DOI]

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

2020

Binary neural networks: A survey.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

Forward and Backward Information Retention for Accurate Binary Neural Networks.

[BibT_eX]

[DOI]

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

Haotong Qin

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