Distributed Spectrum Sharing for Video Streaming in Cognitive Radio Ad Hoc Networks. - Lei Ding 003; Scott Pudlewski; Tommaso Melodia; Stella N. Batalama; John D. Matyjas; Michael J. Medley (ADHOCNETS, 2009)

ROSA: distributed joint routing and dynamic spectrum allocation in cognitive radio ad hoc networks. - Lei Ding 003; Tommaso Melodia; Stella N. Batalama; Michael J. Medley (MSWiM, 2009)

Towards joint routing and spread-spectrum channelization in cognitive ad hoc networks. - Kanke Gao; Lei Ding 003 (StudentWorkshop@CoNEXT, 2010)

Distributed Routing, Relay Selection, and Spectrum Allocation in Cognitive and Cooperative Ad Hoc Networks. - Lei Ding 003; Tommaso Melodia; Stella N. Batalama; John D. Matyjas (SECON, 2010)

Implementation of a Distributed Joint Routing and Dynamic Spectrum Allocation Algorithm on USRP2 Radios. - Pradeep B. Nagaraju; Lei Ding 003; Tommaso Melodia; Stella N. Batalama; Dimitrios A. Pados; John D. Matyjas (SECON, 2010)

Cross-Layer Routing and Dynamic Spectrum Allocation in Cognitive Radio Ad Hoc Networks. - Lei Ding 003; Tommaso Melodia; Stella N. Batalama; John D. Matyjas; Michael J. Medley (IEEE Trans. Veh. Technol., 2010)

On the Effect of Cooperative Relaying on the Performance of Video Streaming Applications in Cognitive Radio Networks. - Zhangyu Guan; Lei Ding 003; Tommaso Melodia; Dongfeng Yuan (ICC, 2011)

Spread-spectrum cognitive networking: Distributed channelization and routing. - Kanke Gao; Lei Ding 003; Tommaso Melodia; Stella N. Batalama; Dimitris A. Pados; John D. Matyjas (MILCOM, 2011)

CREATE-NEST: A Distributed Cognitive Radio Network Platform with Physical Channel Awareness. - Lei Ding 003; Yalin E. Sagduyu; Tommaso Melodia; Jason H. Li; Jared Feldman; John D. Matyjas (MILCOM, 2013)

All-Spectrum Cognitive Networking through Joint Distributed Channelization and Routing. - Lei Ding 003; Kanke Gao; Tommaso Melodia; Stella N. Batalama; Dimitrios A. Pados; John D. Matyjas (IEEE Trans. Wirel. Commun., 2013)

Adaptive Binary Spreading Sequence Assignment Using Semidefinite Relaxation. - Kanke Gao; Lei Ding 003 (IEEE Wirel. Commun. Lett., 2013)

Cooperative bargaining solution for efficient and fair spectrum management in cognitive wireless networks. - Zhangyu Guan; Dongfeng Yuan; Haixia Zhang 001; Lei Ding 003 (Int. J. Commun. Syst., 2014)

Securing Cognitive Radio Networks with Distributed Trust Management against Belief Manipulation Attacks. - Lei Ding 003; Onur Savas; Gahng-Seop Ahn; Hongmei Deng 001 (GLOBECOM Workshops, 2015)

Distributed resource allocation in cognitive and cooperative ad hoc networks through joint routing, relay selection and spectrum allocation. - Lei Ding 003; Tommaso Melodia; Stella N. Batalama; John D. Matyjas (Comput. Networks, 2015)

A Novel Architecture for Automatic Document Classification for Effective Security in Edge Computing Environments. - Lei Ding 003; Malek Ben Salem (SEC, 2018)

Connecting Web Event Forecasting with Anomaly Detection: A Case Study on Enterprise Web Applications Using Self-supervised Neural Networks. - Xiaoyong Yuan; Lei Ding 003; Malek Ben Salem; Xiaolin Li 001; Dapeng Wu 001 (SecureComm (1), 2020)

Are Smart Home Devices Abandoning IPV Victims? - Ahmed Alshehri; Malek Ben Salem; Lei Ding 003 (TrustCom, 2020)

Crafting Adversarial Email Content against Machine Learning Based Spam Email Detection. - Chenran Wang; Danyi Zhang; Suye Huang; Xiangyang Li; Leah Ding (ASSS@AsiaCCS, 2021)

Defending against GAN-based DeepFake Attacks via Transformation-aware Adversarial Faces. - Chaofei Yang; Leah Ding; Yiran Chen 001; Hai Li 001 (IJCNN, 2021)

Imbalanced Multi-layer Cloud Classification with Advanced Baseline Imager (ABI) and CloudSat/CALIPSO Data. - Leah Ding; Roberto Corizzo; Colin Bellinger; Nancy Ching; Spencer Login; Rodrigo Yepez-Lopez; Jie Gong; Dong L. Wu (IEEE Big Data, 2022)

Perception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human Perception. - Rui Duan; Zhe Qu; Shangqing Zhao; Leah Ding; Yao Liu 007; Zhuo Lu (CCS, 2022)

Adversarial Email Generation against Spam Detection Models through Feature Perturbation. - Qi Cheng; Anyi Xu; Xiangyang Li; Leah Ding (ICAA, 2022)

A Comprehensive Machine Learning Study to Classify Precipitation Type over Land from Global Precipitation Measurement Microwave Imager (GPM-GMI) Measurements. - Spandan Das; Yiding Wang; Jie Gong; Leah Ding; Stephen Joseph Munchak; Chenxi Wang; Dong L. Wu; Liang Liao; William S. Olson; Donifan O. Barahona (Remote. Sens., 2022)

ES Attack: Model Stealing Against Deep Neural Networks Without Data Hurdles. - Xiaoyong Yuan; Leah Ding; Lan Zhang 005; Xiaolin Li 001; Dapeng Oliver Wu (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Toward Physics-Informed Neural Networks for 3-D Multilayer Cloud Mask Reconstruction. - Yiding Wang; Jie Gong; Dong L. Wu; Leah Ding (IEEE Trans. Geosci. Remote. Sens., 2023)

Parrot-Trained Adversarial Examples: Pushing the Practicality of Black-Box Audio Attacks against Speaker Recognition Models. - Rui Duan; Zhe Qu; Leah Ding; Yao Liu 007; Zhuo Lu (NDSS, 2024)

Perception-Aware Attack Against Music Copyright Detection: Impacts and Defenses. - Rui Duan; Zhe Qu; Shangqing Zhao; Leah Ding; Yao Liu 007; Zhuo Lu (IEEE Trans. Dependable Secur. Comput., 2025)