Zhongliang Zhou

According to our database, Zhongliang Zhou authored at least 20 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation.

Zhongliang Zhou, Jielu Zhang, Zihan Guan, Mengxuan Hu, Ni Lao, Lan Mu, Sheng Li, Gengchen Mai

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Text2Seg: Zero-shot Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models.

Jielu Zhang, Zhongliang Zhou, Gengchen Mai, Mengxuan Hu, Zihan Guan, Sheng Li, Lan Mu

Proceedings of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2024

BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract).

Zihan Guan, Mengxuan Hu, Zhongliang Zhou, Jielu Zhang, Sheng Li, Ninghao Liu

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

2023

Phosformer: an explainable transformer model for protein kinase-specific phosphorylation predictions.

Zhongliang Zhou, Wayland Yeung, Nathan Gravel, Mariah Salcedo, Saber Soleymani, Sheng Li, Natarajan Kannan

Bioinform., February, 2023

Tree visualizations of protein sequence embedding space enable improved functional clustering of diverse protein superfamilies.

Wayland Yeung, Zhongliang Zhou, Liju Mathew, Nathan Gravel, Rahil Taujale, Brady O'boyle, Mariah Salcedo, Aarya Venkat, William Lanzilotta, Sheng Li, Natarajan Kannan

Briefings Bioinform., January, 2023

Alignment-free estimation of sequence conservation for identifying functional sites using protein sequence embeddings.

Wayland Yeung, Zhongliang Zhou, Sheng Li, Natarajan Kannan

Briefings Bioinform., January, 2023

XAI meets Biology: A Comprehensive Review of Explainable AI in Bioinformatics Applications.

Zhongliang Zhou, Mengxuan Hu, Mariah Salcedo, Nathan Gravel, Wayland Yeung, Aarya Venkat, Dongliang Guo, Jielu Zhang, Natarajan Kannan, Sheng Li

CoRR, 2023

BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks.

Zihan Guan, Mengxuan Hu, Zhongliang Zhou, Jielu Zhang, Sheng Li, Ninghao Liu

CoRR, 2023

Text2Seg: Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models.

Jielu Zhang, Zhongliang Zhou, Gengchen Mai, Lan Mu, Mengxuan Hu, Sheng Li

CoRR, 2023

Aging Contrast: A Contrastive Learning Framework for Fish Re-identification Across Seasons and Years.

Weili Shi, Zhongliang Zhou, Benjamin H. Letcher, Nathaniel P. Hitt, Yoichiro Kanno, Ryo Futamura, Osamu Kishida, Kentaro Morita, Sheng Li

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022

Pigmentation-based Visual Learning for Salvelinus fontinalis Individual Re-identification.

Zhongliang Zhou, Nathaniel P. Hitt, Benjamin H. Letcher, Weili Shi, Sheng Li

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Modeling and Simulation of UAV Autonomous Obstacle Avoidance Based on DQN.

Jiayong Fang, Zhongliang Zhou, Huanbin Wang, Sheng Sheng, Shitao Chen

Proceedings of the ACAI 2021: 4th International Conference on Algorithms, Computing and Artificial Intelligence, Sanya, China, December 22, 2021

2020

High-Sensitivity, Quantified, Linear and Mediator-Free Resonator-Based Microwave Biosensor for Glucose Detection.

Alok Kumar, Cong Wang, Fanyi Meng, Zhongliang Zhou, Meng Zhao, Guo-Feng Yan, Eun Seong Kim, Nam-Young Kim

Sensors, 2020

Parameters Identification of Photovoltaic Models Using a Multi-Strategy Success-History-Based Adaptive Differential Evolution.

Qinzhi Hao, Zhongliang Zhou, Zhenglei Wei, Guanghui Chen

IEEE Access, 2020

Technology of Image Steganography and Steganalysis Based on Adversarial Training.

Han Zhang, Zhihua Song, Boyu Feng, Zhongliang Zhou, Fuxian Liu

Proceedings of the 16th International Conference on Computational Intelligence and Security, 2020

Intelligent decision-making based on neural network and simulation in two Islands air defense operation.

Xianguang Liu, Wenfei Wang, Xiaojie Zhang, Han Zhang, Zhihua Song, Zhongliang Zhou

Proceedings of the 16th International Conference on Computational Intelligence and Security, 2020

A Neural Network-Based Intelligent Decision-Making in the Air-Offensive Campaign with Simulation.

Gang Hu, Chuhan Zhou, Xiaojie Zhang, Han Zhang, Zhihua Song, Zhongliang Zhou

Proceedings of the 16th International Conference on Computational Intelligence and Security, 2020

2018

A practical adaptive nonlinear tracking algorithm with range rate measurement.

Haiyan Yang, Hongqiang Liu, Zhongliang Zhou, An Xu

Int. J. Distributed Sens. Networks, 2018

2017

Tracking maneuver target using interacting multiple model-square root cubature Kalman filter based on range rate measurement.

Hongqiang Liu, Zhongliang Zhou, Haiyan Yang

Int. J. Distributed Sens. Networks, 2017

2015

Trajectory Optimization for Cooperative Air Combat Engagement Based on Receding Horizon Control.

Chengwei Ruan, Lei Yu, Zhongliang Zhou, An Xu

Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015