Discovering genomic islands in microbial genomes using a genetic algorithm. - Dongsheng Che; Pingsheng Gao; Pu Tian; Bernard Chen 001 (ICNC-FSKD, 2017)

Classification of endangered languages using decision tree based algorithms. - Dongsheng Che; Taylor Shafer; Pu Tian (ICNC-FSKD, 2017)

FALIoTSE: Towards Federated Adversarial Learning for IoT Search Engine Resiliency. - Pu Tian; William Grant Hatcher; Weixian Liao; Wei Yu 002; Erik Blasch (DASC/PiCom/CBDCom/CyberSciTech, 2021)

Towards asynchronous federated learning based threat detection: A DC-Adam approach. - Pu Tian; Zheyi Chen; Wei Yu 002; Weixian Liao (Comput. Secur., 2021)

Zero Knowledge Clustering Based Adversarial Mitigation in Heterogeneous Federated Learning. - Zheyi Chen; Pu Tian; Weixian Liao; Wei Yu 002 (IEEE Trans. Netw. Sci. Eng., 2021)

Deep CAPTCHA Recognition Using Encapsulated Preprocessing and Heterogeneous Datasets. - Turhan Kimbrough; Pu Tian; Weixian Liao; Erik Blasch; Wei Yu 002 (INFOCOM Workshops, 2022)

Transformations as Denoising: A Robust Approach to Weaken Adversarial Facial Images. - Pu Tian; Turhan Kimbrough; Weixian Liao; Erik Blasch; Wei Yu 002 (NAS, 2022)

A Fairness-Aware Peer-to-Peer Decentralized Learning Framework with Heterogeneous Devices. - Zheyi Chen; Weixian Liao; Pu Tian; Qianlong Wang; Wei Yu 002 (Future Internet, 2022)

WSCC: A Weight-Similarity-Based Client Clustering Approach for Non-IID Federated Learning. - Pu Tian; Weixian Liao; Wei Yu 002; Erik Blasch (IEEE Internet Things J., 2022)

Performance of GAN-Based Denoising and Restoration Techniques for Adversarial Face Images. - Turhan Kimbrough; Pu Tian; Weixian Liao; Wei Yu 002 (SERA, 2023)

Towards an Adversarial Machine Learning Framework in Cyber-Physical Systems. - John Mulo; Pu Tian; Adamu Hussaini; Hengshuo Liang; Wei Yu 002 (SERA, 2023)

Admission Control and Scheduling of Isochronous and Asynchronous Traffic in IEEE 802.11ad MAC. - Anirudha Sahoo; Pu Tian; Tanguy Ropitault; Steve Blandino; Nada Golmie (VTC2023-Spring, 2023)

Resource-Aware Knowledge Distillation for Federated Learning. - Zheyi Chen; Pu Tian; Weixian Liao; Xuhui Chen; Guobin Xu; Wei Yu 002 (IEEE Trans. Emerg. Top. Comput., 2023)

Big Data Quality Scoring for Structured Data Using MapReduce. - Yalong Wu; Shalini Dhamodharan; Vinuthna Ghattamaneni; Narmada Kokila; Chandrika Pathakamuri; Timothy Carter; Pu Tian; Kewei Sha (ICCCN, 2024)

Evaluating Impact of Image Transformations on Adversarial Examples. - Pu Tian; Sathvik Poreddy; Charitha Danda; Chihnita Gowrineni; Yalong Wu; Weixian Liao (IEEE Access, 2024)

A Comprehensive Survey and Guide to Multimodal Large Language Models in Vision-Language Tasks. - Chia Xin Liang; Pu Tian; Caitlyn Heqi Yin; Yao Yua; Wei An-Hou; Li Ming; Tianyang Wang; Ziqian Bi; Ming Liu (CoRR, 2024)

Smart Irrigation Systems from Cyber-Physical Perspective: State of Art and Future Directions. - Mian Qian; Cheng Qian 007; Guobin Xu; Pu Tian; Wei Yu 002 (Future Internet, 2024)

Global practical tracking for uncertain nonlinear systems with unknown control coefficients and polynomial growth. - Pu Tian; Xuehua Yan; Yiping Liu; Lei Liang (Int. J. Control, 2025)