Zhiqiang Shen

Orcid: 0000-0002-3749-3115

According to our database¹, Zhiqiang Shen authored at least 113 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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Links

On csauthors.net:

Bibliography

2024

Point Spatio-Temporal Pyramid Network for Point Cloud Video Understanding.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2024

LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization.

[BibT_eX]

[DOI]

CoRR, 2024

CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment.

[BibT_eX]

[DOI]

CoRR, 2024

γ-MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Mamba or Transformer for Time Series Forecasting? Mixture of Universals (MoU) Is All You Need.

[BibT_eX]

[DOI]

CoRR, 2024

Adaptive Mix for Semi-Supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2024

FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation.

[BibT_eX]

[DOI]

Liqun Ma

Mingjie Sun

Zhiqiang Shen

CoRR, 2024

Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

Open-LLM-Leaderboard: From Multi-choice to Open-style Questions for LLMs Evaluation, Benchmark, and Arena.

[BibT_eX]

[DOI]

Aidar Myrzakhan

Sondos Mahmoud Bsharat

Zhiqiang Shen

CoRR, 2024

Rethinking the Vulnerabilities of Face Recognition Systems:From a Practical Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

Rethinking Barely-Supervised Segmentation from an Unsupervised Domain Adaptation Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

Elucidating the Design Space of Dataset Condensation.

[BibT_eX]

[DOI]

CoRR, 2024

TransLinkGuard: Safeguarding Transformer Models Against Model Stealing in Edge Deployment.

[BibT_eX]

[DOI]

CoRR, 2024

Self-supervised Dataset Distillation: A Good Compression Is All You Need.

[BibT_eX]

[DOI]

CoRR, 2024

Precise Knowledge Transfer via Flow Matching.

[BibT_eX]

[DOI]

CoRR, 2024

TransLinkGuard: Safeguarding Transformer Models Against Model Stealing in Edge Deployment.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Self-paced Sample Selection for Barely-Supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Cross-Cluster Shifting for Efficient and Effective 3D Object Detection in Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Empowering Graph Invariance Learning with Deep Spurious Infomax.

[BibT_eX]

[DOI]

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

ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy.

[BibT_eX]

[DOI]

Kirill Vishniakov

Zhiqiang Shen

Zhuang Liu

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

Initializing Models with Larger Ones.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

i-MAE: Are Latent Representations in Masked Autoencoders Linearly Separable?

[BibT_eX]

[DOI]

Kevin Zhang

Zhiqiang Shen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Effects of Temperature and Humidity on the Absorption Spectrum and Concentration of N2O Using an Open-Path Sensor System.

[BibT_eX]

[DOI]

Remote. Sens., November, 2023

A Progressive Difference Method for Capturing Visual Tempos on Action Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., March, 2023

Exploring Simple and Transferable Recognition-Aware Image Processing.

[BibT_eX]

[DOI]

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

WS-LungNet: A two-stage weakly-supervised lung cancer detection and diagnosis network.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, March, 2023

Learning multi-view and centerline topology connectivity information for pulmonary artery-vein separation.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, March, 2023

Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4.

[BibT_eX]

[DOI]

Sondos Mahmoud Bsharat

Aidar Myrzakhan

Zhiqiang Shen

CoRR, 2023

LLM360: Towards Fully Transparent Open-Source LLMs.

[BibT_eX]

[DOI]

CoRR, 2023

Dataset Distillation in Large Data Era.

[BibT_eX]

[DOI]

Zeyuan Yin

Zhiqiang Shen

CoRR, 2023

Beyond Size: How Gradients Shape Pruning Decisions in Large Language Models.

[BibT_eX]

[DOI]

Rocktim Jyoti Das

Liqun Ma

Zhiqiang Shen

CoRR, 2023

SlimPajama-DC: Understanding Data Combinations for LLM Training.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment.

[BibT_eX]

[DOI]

CoRR, 2023

Variation-aware Vision Transformer Quantization.

[BibT_eX]

[DOI]

Xijie Huang

Zhiqiang Shen

Kwang-Ting Cheng

CoRR, 2023

One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning.

[BibT_eX]

[DOI]

CoRR, 2023

Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective.

[BibT_eX]

[DOI]

Zeyuan Yin

Eric P. Xing

Zhiqiang Shen

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

Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Dropout Reduces Underfitting.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FerKD: Surgical Label Adaptation for Efficient Distillation.

[BibT_eX]

[DOI]

Zhiqiang Shen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

PointCMP: Contrastive Mask Prediction for Self-supervised Learning on Point Cloud Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning.

[BibT_eX]

[DOI]

Xiaoxiao Sheng

Zhiqiang Shen

Gang Xiao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

MixMask: Revisiting Masked Siamese Self-supervised Learning in Asymmetric Distance.

[BibT_eX]

[DOI]

Kirill Vishniakov

Eric P. Xing

Zhiqiang Shen

CoRR, 2022

SDQ: Stochastic Differentiable Quantization with Mixed Precision.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

A Fast Knowledge Distillation Framework for Visual Recognition.

[BibT_eX]

[DOI]

Zhiqiang Shen

Eric P. Xing

Proceedings of the Computer Vision, 2022

Sliced Recursive Transformer.

[BibT_eX]

[DOI]

Zhiqiang Shen

Zechun Liu

Eric P. Xing

Proceedings of the Computer Vision, 2022

Data-Free Neural Architecture Search via Recursive Label Calibration.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2022

Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation.

[BibT_eX]

[DOI]

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

Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space.

[BibT_eX]

[DOI]

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

Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Stereo Neural Vernier Caliper.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Joint Multi-Dimension Pruning via Numerical Gradient Update.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

CDTD: A Large-Scale Cross-Domain Benchmark for Instance-Level Image-to-Image Translation and Domain Adaptive Object Detection.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2021

A dual-attention V-network for pulmonary lobe segmentation in CT scans.

[BibT_eX]

[DOI]

IET Image Process., 2021

Multi-modal Self-supervised Pre-training for Regulatory Genome Across Cell Types.

[BibT_eX]

[DOI]

CoRR, 2021

COTR: Convolution in Transformer Network for End to End Polyp Detection.

[BibT_eX]

[DOI]

Zhiqiang Shen

Chaonan Lin

Shaohua Zheng

CoRR, 2021

Interpretative computer-aided lung cancer diagnosis: From radiology analysis to malignancy evaluation.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2021

Conditional Link Prediction of Category-Implicit Keypoint Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Latent Memory-augmented Graph Transformer for Visual Storytelling.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Squeeze-and-Excitation Encoder-Decoder Network for Kidney and Kidney Tumor Segmentation in CT Images.

[BibT_eX]

[DOI]

Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2021 Challenge, 2021

Automated Kidney Tumor Segmentation with Convolution and Transformer Network.

[BibT_eX]

[DOI]

Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2021 Challenge, 2021

How Do Adam and Training Strategies Help BNNs Optimization.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study.

[BibT_eX]

[DOI]

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

Contrast and Order Representations for Video Self-supervised Learning.

[BibT_eX]

[DOI]

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

Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection.

[BibT_eX]

[DOI]

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

Unsupervised Disentanglement of Linear-Encoded Facial Semantics.

[BibT_eX]

[DOI]

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

S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration.

[BibT_eX]

[DOI]

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

"BNN - BN = ?": Training Binary Neural Networks Without Batch Normalization.

[BibT_eX]

[DOI]

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

Combining Global Information with Topological Prior for Brain Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

Automatic Brain Tumor Segmentation Using Multi-scale Features and Attention Mechanism.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Object Detection from Scratch with Deep Supervision.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2020

NCMS: Towards accurate anchor free object detection through ℓ2 norm calibration and multi-feature selection.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2020

OpenFSI: A highly efficient and portable fluid-structure simulation package based on immersed-boundary method.

[BibT_eX]

[DOI]

Comput. Phys. Commun., 2020

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks.

[BibT_eX]

[DOI]

Zhiqiang Shen

Marios Savvides

CoRR, 2020

Channel-wise Alignment for Adaptive Object Detection.

[BibT_eX]

[DOI]

CoRR, 2020

Cross-Supervised Object Detection.

[BibT_eX]

[DOI]

Zitian Chen

Zhiqiang Shen

Jiahui Yu

Erik G. Learned-Miller

CoRR, 2020

Joint Multi-Dimension Pruning.

[BibT_eX]

[DOI]

CoRR, 2020

Rethinking Image Mixture for Unsupervised Visual Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2020

MoBiNet: A Mobile Binary Network for Image Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Solving Missing-Annotation Object Detection with Background Recalibration Loss.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Attentive Cutmix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Soft Anchor-Point Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Online Ensemble Model Compression Using Knowledge Distillation.

[BibT_eX]

[DOI]

Devesh Walawalkar

Zhiqiang Shen

Marios Savvides

Proceedings of the Computer Vision - ECCV 2020, 2020

ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Binarizing MobileNet via Evolution-Based Searching.

[BibT_eX]

[DOI]

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

2019

SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses.

[BibT_eX]

[DOI]

CoRR, 2019

Transferable Recognition-Aware Image Processing.

[BibT_eX]

[DOI]

CoRR, 2019

Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement.

[BibT_eX]

[DOI]

CoRR, 2019

Transfer Learning for Sequences via Learning to Collocate.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Towards Instance-Level Image-To-Image Translation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Improving Object Detection from Scratch via Gated Feature Reuse.

[BibT_eX]

[DOI]

Proceedings of the 30th British Machine Vision Conference 2019, 2019

Landslide Detection Leveraging Spectral-Spatial Correlation Fusion in Aerospace Remote Sensing.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Big Data Computing and Communications, 2019

MEAL: Multi-Model Ensemble via Adversarial Learning.

[BibT_eX]

[DOI]

Zhiqiang Shen

Zhankui He

Xiangyang Xue

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection.

[BibT_eX]

[DOI]

CoRR, 2018

A Hybrid 3D Descriptor With Global Structural Frames and Local Signatures of Histograms.

[BibT_eX]

[DOI]

Zhiqiang Shen

Xin Ma

Yibin Li

IEEE Access, 2018

Hybrid 3D Surface Description with Global Frames and Local Signatures of Histograms.

[BibT_eX]

[DOI]

Zhiqiang Shen

Xin Ma

Xianglei Zeng

Proceedings of the 24th International Conference on Pattern Recognition, 2018

TS ^2 2 C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Symmetric difference operators on fuzzy sets.

[BibT_eX]

[DOI]

Zhiqiang Shen

Dexue Zhang

Fuzzy Sets Syst., 2017

Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids.

[BibT_eX]

[DOI]

Zhiqiang Shen

Honghui Shi

Rogério Schmidt Feris

CoRR, 2017

Iterative object and part transfer for fine-grained recognition.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

DSOD: Learning Deeply Supervised Object Detectors from Scratch.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning Efficient Convolutional Networks through Network Slimming.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Weakly Supervised Dense Video Captioning.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015

Multiple Granularity Descriptors for Fine-Grained Categorization.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

A note on the continuity of triangular norms.

[BibT_eX]

[DOI]

Zhiqiang Shen

Dexue Zhang

Fuzzy Sets Syst., 2014

Do More Dropouts in Pool5 Feature Maps for Better Object Detection.

[BibT_eX]

[DOI]

Zhiqiang Shen

Xiangyang Xue

CoRR, 2014

Zhiqiang Shen

Timeline

Legend:

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On csauthors.net:

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