Bin Chen

Orcid: 0000-0002-4798-230X

Affiliations:
  • Harbin Institute of Technology, Shenzhen, China
  • Tsinghua University, Graduate School at Shenzhen, China (former)
  • South China Normal University, School of Mathematical Sciences, Guangzhou, China (former)


According to our database1, Bin Chen authored at least 118 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Bounds and Constructions of Singleton-Optimal Locally Repairable Codes With Small Localities.
IEEE Trans. Inf. Theory, October, 2024

Optimal ternary locally repairable codes.
Des. Codes Cryptogr., September, 2024

Hugs Bring Double Benefits: Unsupervised Cross-Modal Hashing with Multi-granularity Aligned Transformers.
Int. J. Comput. Vis., August, 2024

FlexNF: Flexible Network Function Orchestration for Scalable On-Path Service Chain Serving.
IEEE/ACM Trans. Netw., June, 2024

New Constructions of MDS Array Codes and Optimal Locally Repairable Array Codes.
IEEE Trans. Inf. Theory, 2024

Pyramid hybrid pooling quantization for efficient fine-grained image retrieval.
Pattern Recognit. Lett., 2024

Multi-scale architectures matter: Examining the adversarial robustness of flow-based lossless compression.
Pattern Recognit., 2024

CMCL: Cross-Modal Compressive Learning for Resource-Constrained Intelligent IoT Systems.
IEEE Internet Things J., 2024

BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping.
CoRR, 2024

Block-to-Scene Pre-training for Point Cloud Hybrid-Domain Masked Autoencoders.
CoRR, 2024

Towards Scalable Semantic Representation for Recommendation.
CoRR, 2024

CALoR: Towards Comprehensive Model Inversion Defense.
CoRR, 2024

ReFIR: Grounding Large Restoration Models with Retrieval Augmentation.
CoRR, 2024

MIBench: A Comprehensive Benchmark for Model Inversion Attack and Defense.
CoRR, 2024

COSMIC: Compress Satellite Images Efficiently via Diffusion Compensation.
CoRR, 2024

3D-GP-LMVIC: Learning-based Multi-View Image Coding with 3D Gaussian Geometric Priors.
CoRR, 2024

CLIP-Guided Networks for Transferable Targeted Attacks.
CoRR, 2024

Hierarchical Features Matter: A Deep Exploration of GAN Priors for Improved Dataset Distillation.
CoRR, 2024

One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models.
CoRR, 2024

GI-NAS: Boosting Gradient Inversion Attacks through Adaptive Neural Architecture Search.
CoRR, 2024

LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling.
CoRR, 2024

MambaVC: Learned Visual Compression with Selective State Spaces.
CoRR, 2024

GMMFormer v2: An Uncertainty-aware Framework for Partially Relevant Video Retrieval.
CoRR, 2024

MB-RACS: Measurement-Bounds-based Rate-Adaptive Image Compressed Sensing Network.
CoRR, 2024

Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses.
CoRR, 2024

Fast Implicit Neural Representation Image Codec in Resource-limited Devices.
CoRR, 2024

Editable-DeepSC: Cross-Modal Editable Semantic Communication Systems.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

IGSPAD: Inverting 3D Gaussian Splatting for Pose-agnostic Anomaly Detection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Section-Wise Revolving NBP-Like Decoders for QC-LDPC Codes.
Proceedings of the IEEE International Symposium on Information Theory, 2024

GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Invertible Residual Rescaling Models.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

WaterDiff: Perceptual Image Watermarks Via Diffusion Model.
Proceedings of the IEEE International Conference on Acoustics, 2024

A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning.
Proceedings of the Euro-Par 2024: Parallel Processing, 2024

A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks.
Proceedings of the Computer Vision - ECCV 2024, 2024

CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks.
Proceedings of the Computer Vision - ECCV 2024, 2024

Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Singleton-optimal LRCs and perfect LRCs via cyclic and constacyclic codes.
Finite Fields Their Appl., October, 2023

Perfect LRCs and k-optimal LRCs.
Des. Codes Cryptogr., April, 2023

Adversarial Examples Generation for Deep Product Quantization Networks on Image Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

FFCA-Net: Stereo Image Compression via Fast Cascade Alignment of Side Information.
CoRR, 2023

AdaptIR: Parameter Efficient Multi-task Adaptation for Pre-trained Image Restoration Models.
CoRR, 2023

Perceptual Image Compression with Cooperative Cross-Modal Side Information.
CoRR, 2023

Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression.
CoRR, 2023

DAGC: Data-Volume-Aware Adaptive Sparsification Gradient Compression for Distributed Machine Learning in Mobile Computing.
CoRR, 2023

One-stage Low-resolution Text Recognition with High-resolution Knowledge Transfer.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Binary MDS Array Codes with Flexible Array Dimensions and Their Fast Encoding.
Proceedings of the IEEE International Symposium on Information Theory, 2023

DAGC: Data-Aware Adaptive Gradient Compression.
Proceedings of the IEEE INFOCOM 2023, 2023

DDA: A Dynamic Difficulty-aware Data Augmenter for Image Super-resolution.
Proceedings of the International Joint Conference on Neural Networks, 2023

Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers.
Proceedings of the IEEE International Conference on Image Processing, 2023

LKBQ: Pushing the Limit of Post-Training Quantization to Extreme 1 bit.
Proceedings of the IEEE International Conference on Image Processing, 2023

Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adaptive ProductAE: SNR-Aware Adaptive Decoding of Neural Product Codes.
Proceedings of the IEEE International Conference on Communications, 2023

Difficulty-Aware Data Augmentor for Scene Text Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

Learning Transferable Spatiotemporal Representations from Natural Script Knowledge.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

Contrastive Masked Autoencoders for Self-Supervised Video Hashing.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

FSR: A General Frequency-Oriented Framework to Accelerate Image Super-resolution Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Deep image prior based defense against adversarial examples.
Pattern Recognit., 2022

Practical protection against video data leakage via universal adversarial head.
Pattern Recognit., 2022

Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domai.
CoRR, 2022

Multi-Scale Architectures Matter: On the Adversarial Robustness of Flow-based Lossless Compression.
CoRR, 2022

SsaA: A Self-supervised auto-Annotation System for Online Visual Inspection and Manufacturing Automation.
CoRR, 2022

Bounds and Constructions of Singleton-Optimal Locally Repairable Codes with Small Localities.
CoRR, 2022

Some Results on the Improved Bound and Construction of Optimal (r, δ) LRCs.
CoRR, 2022

Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

New constructions of binary MDS array codes and locally repairable array codes.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Improved DC Estimation for JPEG Compression Via Convex Relaxation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Decoupling Consensus and Storage in Consortium Blockchains by Erasure Codes.
Proceedings of the 4th International Conference on Data Intelligence and Security, 2022

Some Results on the Improved Bound and Construction of Optimal $(r, \ \delta)$ LRCs.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2022

Compressive sensing based asymmetric semantic image compression for resource-constrained IoT system.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Motion-Aware Graph Reasoning Hashing for Self-supervised Video Retrieval.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Hugs Are Better Than Handshakes: Unsupervised Cross-Modal Transformer Hashing with Multi-granularity Alignment.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Contrastive Quantization with Code Memory for Unsupervised Image Retrieval.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Improved Bounds and Singleton-Optimal Constructions of Locally Repairable Codes With Minimum Distance 5 and 6.
IEEE Trans. Inf. Theory, 2021

Correlation-based structural dropout for convolutional neural networks.
Pattern Recognit., 2021

Clean-label Backdoor Attack against Deep Hashing based Retrieval.
CoRR, 2021

Pyramid Hybrid Pooling Quantization for Efficient Fine-Grained Image Retrieval.
CoRR, 2021

Mix-order Attention Networks for Image Restoration.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Knowledge Distillation via Channel Correlation Structure.
Proceedings of the Knowledge Science, Engineering and Management, 2021

Singleton-Optimal LRCs and Perfect LRCs via Cyclic Codes.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Attribute Structured Knowledge Distillation.
Proceedings of the International Joint Conference on Neural Networks, 2021

Class Aware Robust Training.
Proceedings of the IEEE International Conference on Acoustics, 2021

Webly Supervised Deep Attentive Quantization.
Proceedings of the IEEE International Conference on Acoustics, 2021

HOCA: Higher-Order Channel Attention for Single Image Super-Resolution.
Proceedings of the IEEE International Conference on Acoustics, 2021

Efficient Face Manipulation Via Deep Feature Disentanglement And Reintegration Net.
Proceedings of the IEEE International Conference on Acoustics, 2021

SwinFGHash: Fine-grained Image Retrieval via Transformer-based Hashing Network.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Bounds and Constructions of Locally Repairable Codes: Parity-Check Matrix Approach.
IEEE Trans. Inf. Theory, 2020

Mean-removed product quantization for large-scale image retrieval.
Neurocomputing, 2020

On the Generalized Hamming Weights of (r, δ)-Locally Repairable Codes.
IEEE Access, 2020

DIPDefend: Deep Image Prior Driven Defense against Adversarial Examples.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Perfect LRCs and k-Optimal LRCs.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Complete Characterization of Optimal LRCs with Minimum Distance 6 and Locality 2: Improved Bounds and Constructions.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Transferable Adversarial Attacks for Deep Scene Text Detection.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Sample-aware Data Augmentor for Scene Text Recognition.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Targeted Attack for Deep Hashing Based Retrieval.
Proceedings of the Computer Vision - ECCV 2020, 2020

Adversarial Attack on Deep Product Quantization Network for Image Retrieval.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Constructions of Optimal $(r, \delta)$ Locally Repairable Codes via Constacyclic Codes.
IEEE Trans. Commun., 2019

Complete Characterizations of Optimal Locally Repairable Codes With Locality 1 and $K-1$.
IEEE Access, 2019

Improved bounds and Optimal Constructions of Locally Repairable Codes with distance 5 and 6.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Mean-Removed Product Quantization for Approximate Nearest Neighbor Search.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2018
Constructions of Optimal Cyclic (r, δ) Locally Repairable Codes.
IEEE Trans. Inf. Theory, 2018

On Optimal (r, δ)-LRCs with Length n | (q+1).
Proceedings of the IEEE Information Theory Workshop, 2018

Bandwidth Efficiency of Distance-optimal Scalar Locally Repairable Codes.
Proceedings of the IEEE Information Theory Workshop, 2018

On Optimal Pseudo-cyclic ($r, \delta$) Locally Repairable Codes.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017
Locally Repairable Codes with Multiple (r<sub>i</sub>, δ<sub>i</sub>)-Localities.
CoRR, 2017

A Privacy-Protection Data Separation Approach for Fine-Grained Data Access Management.
Proceedings of the 2017 IEEE International Conference on Smart Cloud, 2017

On the weight hierarchy of locally repairable codes.
Proceedings of the 2017 IEEE Information Theory Workshop, 2017

On optimal ternary locally repairable codes.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Locally repairable codes with multiple (ri, δi)-localities.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

On the linear codes with (r, δ)-locality for distributed storage.
Proceedings of the IEEE International Conference on Communications, 2017

2016
Recursive bounds for locally repairable codes with multiple repair groups.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Some results on optimal locally repairable codes.
Proceedings of the IEEE International Symposium on Information Theory, 2016

On the single-parity locally repairable codes with availability.
Proceedings of the 2016 IEEE/CIC International Conference on Communications in China, 2016


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