Wenqi Wei - RankMe

112 papers A* 7A 4B 5C 1Misc 3Journal 73Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Augmenting Question Answering with A Hybrid RAG Approach. CoRR Tianyi Yang, Nashrah Haque, Vaishnave Jonnalagadda, Yuya Jeremy Ong, Zhehui Chen, Yanzhao Wu, Lei Yu, Divyesh Jadav, Wenqi Wei
2026	J	`jnl`	GradCloak: Gradient Obfuscation for Privacy-Preserving Distributed Learning as a Service. IEEE Trans. Serv. Comput. Wenqi Wei, Tiansheng Huang, Sihao Hu, Xinxin Fan, Rui Zhang, Jingya Zhou, Ling Liu
2026	J	`jnl`	Introduction to the Special Issue on Reliable Infrastructure and Edge Analytics for IoT. ACM Trans. Internet Techn. Wenqi Wei, Balaji Palanisamy, Jun Wang
2026	J	`jnl`	Quantum-Audit: Evaluating the Reasoning Limits of LLMs on Quantum Computing. CoRR Mohamed Afane, Kayla Laufer, Wenqi Wei, Ying Mao, Muhammad Junaid Farooq, Ying Wang, Juntao Chen
2025	J	`jnl`	Adverseness vs. Equilibrium: Exploring Graph Adversarial Resilience through Dynamic Equilibrium. CoRR Xinxin Fan, Wenxiong Chen, Mengfan Li, Wenqi Wei, Ling Liu
2025	J	`jnl`	An Image Is Worth Ten Thousand Words: Verbose-Text Induction Attacks on VLMs. CoRR Zhi Luo, Zenghui Yuan, Wenqi Wei, Daizong Liu, Pan Zhou
2025	—	`conf`	Augmenting Question Answering with A Hybrid RAG Approach. CogMI Tianyi Yang, Nashrah Haque, Vaishnave Jonnalagadda, Yuya Jeremy Ong, Zhehui Chen, Yanzhao Wu, Lei Yu, Divyesh Jadav, Wenqi Wei
2025	J	`jnl`	FastFHE: Packing-Scalable and Depthwise-Separable CNN Inference Over FHE. CoRR Wenbo Song, Xinxin Fan, Quanliang Jing, Shaoye Luo, Wenqi Wei, Chi Lin, Yunfeng Lu, Ling Liu
2025	J	`jnl`	FinLLMs: A Framework for Financial Reasoning Dataset Generation With Large Language Models. IEEE Trans. Big Data Ziqiang Yuan, Kaiyuan Wang, Shoutai Zhu, Ye Yuan, Jingya Zhou, Yanlin Zhu, Wenqi Wei
2025	C	`conf`	MUBox: A Critical Evaluation Framework of Deep Machine Unlearning [Systematization of Knowledge Paper]. SACMAT Xiang Li, Wenqi Wei, Bhavani Thuraisingham
2025	J	`jnl`	MUBox: A Critical Evaluation Framework of Deep Machine Unlearning. CoRR Xiang Li, Bhavani Thuraisingham, Wenqi Wei
2025	J	`jnl`	Measuring the Robustness of Audio Deepfake Detectors. CoRR Xiang Li, Pin-Yu Chen, Wenqi Wei
2025	—	`conf`	On the Adversarial Robustness of Graph Neural Networks with Graph Reduction. ESORICS (1) Kerui Wu, Ka-Ho Chow, Wenqi Wei, Lei Yu
2025	J	`jnl`	Order-sensitive competitive revenue maximization for viral marketing in social networks. Inf. Sci. Congcong Zhang, Jingya Zhou, Wenqi Wei, Yingdan Shi
2025	J	`jnl`	SQUASH: A SWAP-Based Quantum Attack to Sabotage Hybrid Quantum Neural Networks. CoRR Rahul Kumar, Wenqi Wei, Ying Mao, Junaid Farooq, Ying Wang, Juntao Chen
2025	J	`jnl`	Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance. ACM Comput. Surv. Wenqi Wei, Ling Liu
2025	Misc	`conf`	Unlocking Financial Statement Fraud Detection: Tracking Disclosure Changes via Representation Learning. ICASSP Yue Yu, Zhen Wu, Yanni Han, Zhuoqun Li, Wenqi Wei
2025	J	`jnl`	Where are We in Audio Deepfake Detection? A Systematic Analysis over Generative and Detection Models. ACM Trans. Internet Techn. Xiang Li, Pin-Yu Chen, Wenqi Wei
2024	A	`conf`	Adaptive Deep Neural Network Inference Optimization with EENet. WACV Fatih Ilhan, Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Selim F. Tekin, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu, Ling Liu
2024	J	`jnl`	AutoJailbreak: Exploring Jailbreak Attacks and Defenses through a Dependency Lens. CoRR Lin Lu, Hai Yan, Zenghui Yuan, Jiawen Shi, Wenqi Wei, Pin-Yu Chen, Pan Zhou
2024	—	`conf`	Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum. TPS-ISA Nashrah Haque, Xiang Li, Zhehui Chen, Yanzhao Wu, Lei Yu, Arun Iyengar, Wenqi Wei
2024	J	`jnl`	Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum. CoRR Nashrah Haque, Xiang Li, Zhehui Chen, Yanzhao Wu, Lei Yu, Arun Iyengar, Wenqi Wei
2024	J	`jnl`	Data Poisoning and Leakage Analysis in Federated Learning. CoRR Wenqi Wei, Tiansheng Huang, Zachary Yahn, Anoop Singhal, Margaret Loper, Ling Liu
2024	A	`conf`	Demo: Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning. ICDCS Xueqing Zhang, Junkai Zhang, Ka-Ho Chow, Juntao Chen, Ying Mao, Mohamed Rahouti, Xiang Li, Yuchen Liu, Wenqi Wei
2024	J	`jnl`	Demystifying Data Poisoning Attacks in Distributed Learning as a Service. IEEE Trans. Serv. Comput. Wenqi Wei, Ka Ho Chow, Yanzhao Wu, Ling Liu
2024	J	`jnl`	Diversity-driven Privacy Protection Masks Against Unauthorized Face Recognition. Proc. Priv. Enhancing Technol. Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Fatih Ilhan, Wenqi Wei, Ling Liu
2024	—	`conf`	Effective Diversity Optimizations for High Accuracy Deep Ensembles. CogMI Hongpeng Jin, Maryam Akhavan Aghdam, Sai Nath Chowdary Medikonduru, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu
2024	J	`jnl`	Efficient Circuit Cutting and Scheduling in a Multi-Node Quantum System with Dynamic EPR Pairs. CoRR Zefan Du, Wenrui Zhang, Wenqi Wei, Juntao Chen, Tao Han, Zhiding Liang, Ying Mao
2024	B	`conf`	Enhancing Financial Reasoning in Large Language Models: The Role of Gold Facts. IEEE Big Data Shoutai Zhu, Ziqiang Yuan, Kaiyuan Wang, Yishu Zhang, Wenqi Wei
2024	J	`jnl`	FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models. CoRR Ziqiang Yuan, Kaiyuan Wang, Shoutai Zhu, Ye Yuan, Jingya Zhou, Yanlin Zhu, Wenqi Wei
2024	—	`conf`	Gradient Coupling Effect of Poisoning Attacks in Federated Learning. HICSS Wenqi Wei, Ling Liu
2024	J	`jnl`	Hardware-aware Circuit Cutting and Distributed Qubit Mapping for Connected Quantum Systems. CoRR Zefan Du, Yanni Li, Zijian Mo, Wenqi Wei, Juntao Chen, Rajkumar Buyya, Ying Mao
2024	J	`jnl`	Hierarchical Pruning of Deep Ensembles with Focal Diversity. ACM Trans. Intell. Syst. Technol. Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu
2024	A*	`conf`	Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control. IJCAI Ka-Ho Chow, Wenqi Wei, Lei Yu
2024	J	`jnl`	Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control. CoRR Ka Ho Chow, Wenqi Wei, Lei Yu
2024	B	`conf`	Next-Generation Phishing: How LLM Agents Empower Cyber Attackers. IEEE Big Data Khalifa Afane, Wenqi Wei, Ying Mao, Junaid Farooq, Juntao Chen
2024	J	`jnl`	Next-Generation Phishing: How LLM Agents Empower Cyber Attackers. CoRR Khalifa Afane, Wenqi Wei, Ying Mao, Junaid Farooq, Juntao Chen
2024	J	`jnl`	Predicting cross-domain collaboration using multi-task learning. Expert Syst. Appl. Zhenyu Hu, Jingya Zhou, Wenqi Wei, Congcong Zhang, Yingdan Shi
2024	J	`jnl`	SONAR: A Synthetic AI-Audio Detection Framework and Benchmark. CoRR Xiang Li, Pin-Yu Chen, Wenqi Wei
2024	Misc	`conf`	Scalable Circuit Cutting and Scheduling in a Resource-Constrained and Distributed Quantum System. QCE Shuwen Kan, Zefan Du, Miguel Palma, Samuel A. Stein, Chenxu Liu, Wenqi Wei, Juntao Chen, Ang Li, Ying Mao
2024	J	`jnl`	Scalable Circuit Cutting and Scheduling in a Resource-constrained and Distributed Quantum System. CoRR Shuwen Kan, Zefan Du, Miguel Palma, Samuel A. Stein, Chenxu Liu, Wenqi Wei, Juntao Chen, Ang Li, Ying Mao
2024	J	`jnl`	Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance. CoRR Wenqi Wei, Ling Liu
2024	J	`jnl`	Understanding the Impact of Graph Reduction on Adversarial Robustness in Graph Neural Networks. CoRR Kerui Wu, Ka-Ho Chow, Wenqi Wei, Lei Yu
2024	J	`jnl`	Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning. CoRR Xueqing Zhang, Junkai Zhang, Ka-Ho Chow, Juntao Chen, Ying Mao, Mohamed Rahouti, Xiang Li, Yuchen Liu, Wenqi Wei
2024	A*	`conf`	ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain. WWW Sihao Hu, Tiansheng Huang, Ka-Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu
2023	—	`—`	Adversarial Resilient and Privacy Preserving Deep learning. Wenqi Wei
2023	J	`jnl`	EENet: Learning to Early Exit for Adaptive Inference. CoRR Fatih Ilhan, Ling Liu, Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu
2023	J	`jnl`	Explicit Time Embedding Based Cascade Attention Network for Information Popularity Prediction. CoRR Xigang Sun, Jingya Zhou, Ling Liu, Wenqi Wei
2023	J	`jnl`	Explicit time embedding based cascade attention network for information popularity prediction. Inf. Process. Manag. Xigang Sun, Jingya Zhou, Ling Liu, Wenqi Wei
2023	A*	`conf`	Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness. ICDM Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu
2023	J	`jnl`	Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness. CoRR Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu
2023	—	`conf`	Few-shot Multi-domain Knowledge Rearming for Context-aware Defence against Advanced Persistent Threats. SmartNets Gaolei Li, Yuanyuan Zhao, Wenqi Wei, Yuchen Liu
2023	J	`jnl`	Few-shot Multi-domain Knowledge Rearming for Context-aware Defence against Advanced Persistent Threats. CoRR Gaolei Li, Yuanyuan Zhao, Wenqi Wei, Yuchen Liu
2023	B	`conf`	GNN-Ensemble: Towards Random Decision Graph Neural Networks. IEEE Big Data Wenqi Wei, Mu Qiao, Divyesh Jadav
2023	J	`jnl`	GNN-Ensemble: Towards Random Decision Graph Neural Networks. CoRR Wenqi Wei, Mu Qiao, Divyesh Jadav
2023	J	`jnl`	Hierarchical Pruning of Deep Ensembles with Focal Diversity. CoRR Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu
2023	—	`conf`	Invisible Watermarking for Audio Generation Diffusion Models. TPS-ISA Xirong Cao, Xiang Li, Divyesh Jadav, Yanzhao Wu, Zhehui Chen, Chen Zeng, Wenqi Wei
2023	J	`jnl`	Invisible Watermarking for Audio Generation Diffusion Models. CoRR Xirong Cao, Xiang Li, Divyesh Jadav, Yanzhao Wu, Zhehui Chen, Chen Zeng, Wenqi Wei
2023	J	`jnl`	Machine Learning for Synthetic Data Generation: a Review. CoRR Yingzhou Lu, Huazheng Wang, Wenqi Wei
2023	A*	`conf`	Model Cloaking against Gradient Leakage. ICDM Wenqi Wei, Ka-Ho Chow, Fatih Ilhan, Yanzhao Wu, Ling Liu
2023	J	`jnl`	Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding. ACM Comput. Surv. Jingya Zhou, Ling Liu, Wenqi Wei, Jianxi Fan
2023	—	`conf`	Rethinking Learning Rate Tuning in the Era of Large Language Models. CogMI Hongpeng Jin, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu
2023	J	`jnl`	Rethinking Learning Rate Tuning in the Era of Large Language Models. CoRR Hongpeng Jin, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu
2023	A*	`conf`	STDLens: Model Hijacking-Resilient Federated Learning for Object Detection. CVPR Ka Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu
2023	J	`jnl`	STDLens: Model Hijacking-Resilient Federated Learning for Object Detection. CoRR Ka Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu
2023	J	`jnl`	Securing Distributed SGD Against Gradient Leakage Threats. IEEE Trans. Parallel Distributed Syst. Wenqi Wei, Ling Liu, Jingya Zhou, Ka Ho Chow, Yanzhao Wu
2023	J	`jnl`	Securing Distributed SGD against Gradient Leakage Threats. CoRR Wenqi Wei, Ling Liu, Jingya Zhou, Ka Ho Chow, Yanzhao Wu
2022	J	`jnl`	A Comparative Measurement Study of Deep Learning as a Service Framework. IEEE Trans. Serv. Comput. Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang
2022	J	`jnl`	An Adversarial Approach to Protocol Analysis and Selection in Local Differential Privacy. IEEE Trans. Inf. Forensics Secur. Mehmet Emre Gursoy, Ling Liu, Ka Ho Chow, Stacey Truex, Wenqi Wei
2022	J	`jnl`	Gradient Leakage Attack Resilient Deep Learning. IEEE Trans. Inf. Forensics Secur. Wenqi Wei, Ling Liu
2022	B	`conf`	Graph Representation Learning based Vulnerable Target Identification in Ransomware Attacks. IEEE Big Data Wenqi Wei, Mu Qiao, Eric Butler, Divyesh Jadav
2021	J	`jnl`	Bitcoin Transaction Forecasting With Deep Network Representation Learning. IEEE Trans. Emerg. Top. Comput. Wenqi Wei, Qi Zhang, Ling Liu
2021	A*	`conf`	Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics. CVPR Yanzhao Wu, Ling Liu, Zhongwei Xie, Ka Ho Chow, Wenqi Wei
2021	J	`jnl`	Demystifying Membership Inference Attacks in Machine Learning as a Service. IEEE Trans. Serv. Comput. Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei
2021	J	`jnl`	Gradient Leakage Attack Resilient Deep Learning. CoRR Wenqi Wei, Ling Liu
2021	A	`conf`	Gradient-Leakage Resilient Federated Learning. ICDCS Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar
2021	J	`jnl`	Gradient-Leakage Resilient Federated Learning. CoRR Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar
2021	J	`jnl`	Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding. CoRR Jingya Zhou, Ling Liu, Wenqi Wei, Jianxi Fan
2021	J	`jnl`	Robust Deep Learning Ensemble Against Deception. IEEE Trans. Dependable Secur. Comput. Wenqi Wei, Ling Liu
2021	J	`jnl`	Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy. IEEE Trans. Dependable Secur. Comput. Mehmet Emre Gursoy, Acar Tamersoy, Stacey Truex, Wenqi Wei, Ling Liu
2021	—	`conf`	The TSC-PFed Architecture for Privacy-Preserving FL. TPS-ISA Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Ka Ho Chow
2020	—	`conf`	A Framework for Evaluating Client Privacy Leakages in Federated Learning. ESORICS (1) Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
2020	J	`jnl`	A Framework for Evaluating Gradient Leakage Attacks in Federated Learning. CoRR Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
2020	—	`conf`	Adversarial Deception in Deep Learning: Analysis and Mitigation. TPS-ISA Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
2020	—	`conf`	Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems. TPS-ISA Ka Ho Chow, Ling Liu, Margaret Loper, Juhyun Bae, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
2020	J	`jnl`	Bitcoin Transaction Forecasting with Deep Network Representation Learning. CoRR Wenqi Wei, Qi Zhang, Ling Liu
2020	Misc	`conf`	Cross-Layer Strategic Ensemble Defense Against Adversarial Examples. ICNC Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
2020	J	`jnl`	LDP-Fed: Federated Learning with Local Differential Privacy. CoRR Stacey Truex, Ling Liu, Ka Ho Chow, Mehmet Emre Gursoy, Wenqi Wei
2020	—	`conf`	LDP-Fed: federated learning with local differential privacy. EdgeSys@EuroSys Stacey Truex, Ling Liu, Ka Ho Chow, Mehmet Emre Gursoy, Wenqi Wei
2020	—	`conf`	Promoting High Diversity Ensemble Learning with EnsembleBench. CogMI Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka Ho Chow, Wenqi Wei
2020	J	`jnl`	Promoting High Diversity Ensemble Learning with EnsembleBench. CoRR Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka Ho Chow, Wenqi Wei
2020	J	`jnl`	Robust Deep Learning Ensemble against Deception. CoRR Wenqi Wei, Ling Liu
2020	J	`jnl`	TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems. CoRR Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
2020	J	`jnl`	Understanding Object Detection Through An Adversarial Lens. CoRR Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
2020	—	`conf`	Understanding Object Detection Through an Adversarial Lens. ESORICS (2) Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
2019	J	`jnl`	Cross-Layer Strategic Ensemble Defense Against Adversarial Examples. CoRR Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
2019	B	`conf`	Deep Neural Network Ensembles Against Deception: Ensemble Diversity, Accuracy and Robustness. MASS Ling Liu, Wenqi Wei, Ka Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
2019	J	`jnl`	Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness. CoRR Ling Liu, Wenqi Wei, Ka Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
2019	J	`jnl`	Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks. CoRR Yanzhao Wu, Ling Liu, Juhyun Bae, Ka Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang
2019	—	`conf`	Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks. IEEE BigData Yanzhao Wu, Ling Liu, Juhyun Bae, Ka Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang
2019	—	`conf`	Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks. IEEE BigData Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu
2019	J	`jnl`	Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks. CoRR Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu
2019	—	`conf`	Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability. TPS-ISA Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Lei Yu
2019	J	`jnl`	Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability. CoRR Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Lei Yu
2019	J	`jnl`	Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy. CoRR Mehmet Emre Gursoy, Acar Tamersoy, Stacey Truex, Wenqi Wei, Ling Liu
2018	J	`jnl`	A Comparative Measurement Study of Deep Learning as a Service Framework. CoRR Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang
2018	J	`jnl`	Adversarial Examples in Deep Learning: Characterization and Divergence. CoRR Wenqi Wei, Ling Liu, Stacey Truex, Lei Yu, Mehmet Emre Gursoy
2018	A	`conf`	Benchmarking Deep Learning Frameworks: Design Considerations, Metrics and Beyond. ICDCS Ling Liu, Yanzhao Wu, Wenqi Wei, Wenqi Cao, Semih Sahin, Qi Zhang
2018	J	`jnl`	Towards Demystifying Membership Inference Attacks. CoRR Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei
2018	A*	`conf`	Utility-Aware Synthesis of Differentially Private and Attack-Resilient Location Traces. CCS Mehmet Emre Gursoy, Ling Liu, Stacey Truex, Lei Yu, Wenqi Wei
2017	J	`jnl`	Private and Truthful Aggregative Game for Large-Scale Spectrum Sharing. IEEE J. Sel. Areas Commun. Pan Zhou, Wenqi Wei, Kaigui Bian, Dapeng Oliver Wu, Yuchong Hu, Qian Wang
2016	J	`jnl`	Private and Truthful Aggregative Game for Large-Scale Spectrum Sharing. CoRR Pan Zhou, Wenqi Wei, Kaigui Bian, Dapeng Oliver Wu, Yuchong Hu