DyCOCo: A Dynamic Computation Offloading and Control Framework for Drone Video Analytics. - Chengyi Qu; Songjie Wang; Prasad Calyam (ICNP, 2019)

Policy-Based Function-Centric Computation Offloading for Real-Time Drone Video Analytics. - Dmitrii Chemodanov; Chengyi Qu; Osunkoya Opeoluwa; Songjie Wang; Prasad Calyam (LANMAN, 2019)

Enhancing Network-edge Connectivity and Computation Security in Drone Video Analytics. - Alicia Esquivel Morel; Deniz Kavzak Ufuktepe; Robert Ignatowicz; Alexander Riddle; Chengyi Qu; Prasad Calyam; Kannappan Palaniappan (AIPR, 2020)

Energy-aware Dynamic Computation Offloading for Video Analytics in Multi-UAV Systems. - Jeromy Yu; Aditya Vandanapu; Chengyi Qu; Songjie Wang; Prasad Calyam (ICNC, 2020)

Dynamic Computation Off-loading and Control based on Occlusion Detection in Drone Video Analytics. - Rajeswara Rao Ramisetty; Chengyi Qu; Rumana Aktar; Songjie Wang; Prasad Calyam; Kannappan Palaniappan (ICDCN, 2020)

DroneNet-Sim: a learning-based trace simulation framework for control networking in drone video analytics. - Chengyi Qu; Alicia Esquivel Morel; Drew Dahlquist; Prasad Calyam (DroNet@MobiSys, 2020)

Obstacle-Aware and Energy-Efficient Multi-Drone Coordination and Networking for Disaster Response. - Chengyi Qu; Rounak Singh; Alicia Esquivel Morel; Francesco Betti Sorbelli; Prasad Calyam; Sajal K. Das 001 (CNSM, 2021)

FlyNet: a platform to support scientific workflows from the edge to the core for UAV applications. - Eric Lyons 001; Hakan Saplakoglu; Michael Zink; Komal Thareja; Anirban Mandal; Chengyi Qu; Songjie Wang; Prasad Calyam; George Papadimitriou 002; Ryan Tanaka; Ewa Deelman (UCC, 2021)

DroneCOCoNet: Learning-based edge computation offloading and control networking for drone video analytics. - Chengyi Qu; Prasad Calyam; Jeromy Yu; Aditya Vandanapu; Osunkoya Opeoluwa; Ke Gao; Songjie Wang; Raymond L. Chastain; Kannappan Palaniappan (Future Gener. Comput. Syst., 2021)

Automating Edge-to-cloud Workflows for Science: Traversing the Edge-to-cloud Continuum with Pegasus. - Ryan Tanaka; George Papadimitriou 002; Sai Charan Viswanath; Cong Wang 014; Eric Lyons 001; Komal Thareja; Chengyi Qu; Alicia Esquivel Morel; Ewa Deelman; Anirban Mandal; Prasad Calyam; Michael Zink (CCGRID, 2022)

UAV Swarms in Smart Agriculture: Experiences and Opportunities. - Chengyi Qu; Jayson Boubin; Durbek Gafurov; Jianfeng Zhou; Noel Aloysius; Henry Nguyen; Prasad Calyam (e-Science, 2022)

Evaluating SciStream (Federated Scientific Data Streaming Architecture) on FABRIC. - Chengyi Qu; Joaquin Chung 001; Zhengchun Liu; Tekin Bicer; Rajkumar Kettimuthu (INDIS@SC, 2022)

Robust Watermarking Scheme for Vector Geographic Data Based on the Ratio Invariance of DWT-CSVD Coefficients. - Chengyi Qu; Xu Xi; Jinglong Du; Tong Wu (ISPRS Int. J. Geo Inf., 2022)

Environmentally-Aware Robotic Vehicle Networks Routing Computation for Last-mile Deliveries. - Chengyi Qu; Rounak Singh; Sharan Srinivas; Prasad Calyam (ICCCN, 2023)

Network Services Management using Programmable Data Planes for Visual Cloud Computing. - Alicia Esquivel Morel; Prasad Calyam; Chengyi Qu; Durbek Gafurov; Cong Wang 014; Komal Thareja; Anirban Mandal; Eric Lyons 001; Michael Zink; George Papadimitriou 002; Ewa Deelman (ICNC, 2023)

Trust Quantification in a Collaborative Drone System with Intelligence-driven Edge Routing. - Alicia Esquivel Morel; Ekincan Ufuktepe; Cameron Grant; Samuel Elfrink; Chengyi Qu; Prasad Calyam; Kannappan Palaniappan (NOMS, 2023)

Intelligent UAS-Edge-Server Collaboration and Orchestration in Disaster Response Management. - Chengyi Qu; Chaise Ballotti; Daniel De Sousa; Jiaqing Liu (WETICE, 2023)

FlyNet: Drones on the Horizon. - Alicia Esquivel Morel; Chengyi Qu; Prasad Calyam; Cong Wang 014; Komal Thareja; Anirban Mandal; Eric Lyons 001; Michael Zink; George Papadimitriou 002; Ewa Deelman (IEEE Internet Comput., 2023)

Environmentally-Aware and Energy-Efficient Multi-Drone Coordination and Networking for Disaster Response. - Chengyi Qu; Francesco Betti Sorbelli; Rounak Singh; Prasad Calyam; Sajal K. Das 001 (IEEE Trans. Netw. Serv. Manag., 2023)

Enhancing Autonomous Intrusion Detection System with Generative Adversarial Networks. - Kevin Kostage; David West; Tim Meinert; Chengyi Qu; Prasad Calyam; Luca Mazzola (e-Science, 2024)

Autonomous Video Transmission and Air-to-Ground Coordination in UAV-Swarm-Aided Disaster Response Platform. - Chengyi Qu; Paulo Drefahl; Wenbin Guo; Hong Wang (HCI (26), 2024)

Emotion Recognition in Dance: A Novel Approach Using Laban Movement Analysis and Artificial Intelligence. - Hong Wang; Chenyang Zhao; Xu Huang; Yaguang Zhu; Chengyi Qu; Wenbin Guo (HCI (27), 2024)

Enhancing Drone Video Analytics Security Management using an AERPAW Testbed. - Alicia Esquivel Morel; Zack Murry; Kevin Kostage; Chengyi Qu; Prasad Calyam (INFOCOM (Workshops), 2024)

An adaptive watermarking for remote sensing images based on maximum entropy and discrete wavelet transformation. - Yang Hua; Xu Xi; Chengyi Qu; Jinglong Du; Maofeng Weng; Bao Ye (KSII Trans. Internet Inf. Syst., 2024)

A hybrid domain-based watermarking for vector maps utilizing a complementary advantage of discrete fourier transform and singular value decomposition. - Chengyi Qu; Jinglong Du; Xu Xi; Huimin Tian; Jie Zhang 103 (Comput. Geosci., 2024)

Learning-Based Multi-Drone Network Edge Orchestration for Video Analytics. - Chengyi Qu; Rounak Singh; Alicia Esquivel Morel; Prasad Calyam (IEEE Trans. Netw. Serv. Manag., 2024)

Design of a Hierarchical Federated Generative Learning Based Smart Home System. - Paulo Drefahl; Kevin Kostage; Sean Peppers; Wenbin Guo; Luca Mazzola; Chengyi Qu (HCI (26), 2025)

Enhancing Human Detection in Post-disaster Scenarios Through Generative Adversarial Networks. - Chengyi Qu; Xiaodong Hao; Feiyu Ma; Jizhuang Hui; Wenbin Guo; Hong Wang (HCI (26), 2025)

NetPrompt: LLM-driven Programmable Network Policy Management and Optimization. - Kiran Neupane; Kevin Kostage; Sean Peppers; Ashish Pandey; Prasad Calyam; Chengyi Qu (ICCCN, 2025)

Q-Learning-Based Dynamic Drone Trajectory Planning in Uncertain Environments. - Subrahmanya Chandra Bhamidipati; Adam Maxwell; Emily Pham; Johann Zhang; Zack Murry; Alicia Esquivel Morel; Chengyi Qu; Sharan Srinivas; Prasad Calyam (ICNC, 2025)

Federated Learning-enabled Network Incident Anomaly Detection Optimization for Drone Swarms. - Kevin Kostage; Rohan Adepu; Jenaya Monroe; Trevontae Haughton; Juan Mogollon; Saketh Poduvu; Kannappan Palaniappan; Chengyi Qu; Prasad Calyam; Reshmi Mitra (ICDCN, 2025)

Enhancing firefighter safety and efficiency through UAV-assisted AI-based human motion recognition system. - Hong Wang; Chenyang Zhao; Yuan Feng; Xu Huang; Chengyi Qu; Yaguang Zhu; Ming Xin 001; Wenbin Guo (Expert Syst. Appl., 2025)

Vertex Attack Resistant Watermarking Scheme for Vector Maps Based on Virtual Vertices and Frequency Coefficient Ratios of DWT. - Xu Xi; Chengyi Qu; Jinglong Du; Jie Zhang 103; Mingkang Wu (IEEE Internet Things J., 2025)

Learning-Based UAV Swarm Video Analytics Orchestration in Disaster Response Management. - Tiying Gao; Dwight Goins; Chaise Ballotti; Jiaqing Liu; Chengyi Qu (SN Comput. Sci., 2025)