Kai Zhang

Orcid: 0000-0002-6322-6096

Affiliations:
  • Lehigh University, Bethlehem, PA, USA
  • Embry-Riddle Aeronautical University, Daytona Beach, FL, USA (former)
  • Lanzhou Jiaotong University, China (former)


According to our database1, Kai Zhang authored at least 37 papers between 2016 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Polygonal Approximation Learning for Convex Object Segmentation in Biomedical Images With Bounding Box Supervision.
IEEE J. Biomed. Health Informatics, August, 2024

TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models.
CoRR, 2024

TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation.
CoRR, 2024

ExpoMamba: Exploiting Frequency SSM Blocks for Efficient and Effective Image Enhancement.
CoRR, 2024

Biomedical SAM 2: Segment Anything in Biomedical Images and Videos.
CoRR, 2024

Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras.
CoRR, 2024

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.
CoRR, 2024

Mind's Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Rethinking Fetal Brain Atlas Construction: A Deep Learning Perspective.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2024

Towards Accurate Fetal Brain Parcellation via Hierarchical Network and Loss.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2024

FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Unified-EGformer: Exposure Guided Lightweight Transformer for Mixed-Exposure Image Enhancement.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023
Adversarial Attack and Defense on Graph Data: A Survey.
IEEE Trans. Knowl. Data Eng., August, 2023

Holistic Evaluation of GPT-4V for Biomedical Imaging.
CoRR, 2023

Robust Computer Vision in an Ever-Changing World: A Survey of Techniques for Tackling Distribution Shifts.
CoRR, 2023

Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4V.
CoRR, 2023

Evaluating Large Language Models for Radiology Natural Language Processing.
CoRR, 2023

FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs.
CoRR, 2023

BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks.
CoRR, 2023

Memory-adaptive Depth-wise Heterogenous Federated Learning.
CoRR, 2023

Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation.
CoRR, 2023

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT.
CoRR, 2023

Backdoor Attacks to Pre-trained Unified Foundation Models.
CoRR, 2023

Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Enabling the interpretability of pretrained venue representations using semantic categories.
Knowl. Based Syst., 2022

Spatial-Temporal Graph Data Mining for IoT-Enabled Air Mobility Prediction.
IEEE Internet Things J., 2022

Fully Privacy-Preserving Federated Representation Learning via Secure Embedding Aggregation.
IACR Cryptol. ePrint Arch., 2022

Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation.
CoRR, 2022

Phased Flight Trajectory Prediction with Deep Learning.
CoRR, 2022

Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Weighted-Attribute Triplet Hashing for Large-Scale Similar Judicial Case Matching.
Comput. Intell. Neurosci., 2021

Learning-to-Dispatch: Reinforcement Learning Based Flight Planning under Emergency.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Federated Variational Learning for Anomaly Detection in Multivariate Time Series.
Proceedings of the IEEE International Performance, 2021

Learning to Detect: A Data-driven Approach for Network Intrusion Detection.
Proceedings of the IEEE International Performance, 2021

2020
Spatio-Temporal Data Mining for Aviation Delay Prediction.
Proceedings of the 39th IEEE International Performance Computing and Communications Conference, 2020

UAV Swarm Communication Aware Formation Control via Deep Q Network.
Proceedings of the 39th IEEE International Performance Computing and Communications Conference, 2020

2016
Applying Probabilistic Model Checking to Express Delivery Location Selection and Optimization.
Proceedings of the 13th IEEE International Conference on e-Business Engineering, 2016


  Loading...