Sina Shaham - RankMe

39 papers B 6Journal 29Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Toward Personalized Quantum Federated Learning for Anomaly Detection. IEEE Trans. Netw. Sci. Eng. Ratun Rahman, Sina Shaham, Dinh C. Nguyen
2025	J	`jnl`	Co-Evolving Agents: Learning from Failures as Hard Negatives. CoRR Yeonsung Jung, Trilok Padhi, Sina Shaham, Dipika Khullar, Joonhyun Jeong, Ninareh Mehrabi, Eunho Yang
2025	B	`conf`	Differentially Private Publication of Smart Electricity Grid Data. EDBT Sina Shaham, Gabriel Ghinita, Bhaskar Krishnamachari, Cyrus Shahabi
2025	J	`jnl`	Multi-modal Misinformation Detection: Approaches, Challenges and Opportunities. ACM Comput. Surv. Sara Abdali, Sina Shaham, Bhaskar Krishnamachari
2025	J	`jnl`	Privacy and Fairness in Machine Learning: A Survey. IEEE Trans. Artif. Intell. Sina Shaham, Arash Hajisafi, Minh K. Quan, Dinh C. Nguyen, Bhaskar Krishnamachari, Charith Peris, Gabriel Ghinita, Cyrus Shahabi, Pubudu N. Pathirana
2025	J	`jnl`	Towards Personalized Quantum Federated Learning for Anomaly Detection. CoRR Ratun Rahman, Sina Shaham, Dinh C. Nguyen
2024	J	`jnl`	Differentially Private Publication of Electricity Time Series Data in Smart Grids. CoRR Sina Shaham, Gabriel Ghinita, Bhaskar Krishnamachari, Cyrus Shahabi
2024	B	`conf`	Fair Spatial Indexing: A paradigm for Group Spatial Fairness. EDBT Sina Shaham, Gabriel Ghinita, Cyrus Shahabi
2024	J	`jnl`	Supporting secure dynamic alert zones using searchable encryption and graph embedding. VLDB J. Sina Shaham, Gabriel Ghinita, Cyrus Shahabi
2023	J	`jnl`	Fair Spatial Indexing: A paradigm for Group Spatial Fairness. CoRR Sina Shaham, Gabriel Ghinita, Cyrus Shahabi
2023	—	`conf`	Generating Realistic and Representative Trajectories with Mobility Behavior Clustering. SIGSPATIAL/GIS Haowen Lin, Sina Shaham, Yao-Yi Chiang, Cyrus Shahabi
2023	J	`jnl`	HTF: Homogeneous Tree Framework for Differentially Private Release of Large Geospatial Datasets with Self-tuning Structure Height. ACM Trans. Spatial Algorithms Syst. Sina Shaham, Gabriel Ghinita, Ritesh Ahuja, John Krumm, Cyrus Shahabi
2023	J	`jnl`	Holistic Survey of Privacy and Fairness in Machine Learning. CoRR Sina Shaham, Arash Hajisafi, Minh K. Quan, Dinh C. Nguyen, Bhaskar Krishnamachari, Charith Peris, Gabriel Ghinita, Cyrus Shahabi, Pubudu N. Pathirana
2023	J	`jnl`	ILB: Graph Neural Network Enabled Emergency Demand Response Program For Electricity. CoRR Sina Shaham, Bhaskar Krishnamachari, Matthew Kahn
2023	—	`conf`	Learning Dynamic Graphs from All Contextual Information for Accurate Point-of-Interest Visit Forecasting. SIGSPATIAL/GIS Arash Hajisafi, Haowen Lin, Sina Shaham, Haoji Hu, Maria Despoina Siampou, Yao-Yi Chiang, Cyrus Shahabi
2023	J	`jnl`	Learning Dynamic Graphs from All Contextual Information for Accurate Point-of-Interest Visit Forecasting. CoRR Arash Hajisafi, Haowen Lin, Sina Shaham, Haoji Hu, Maria Despoina Siampou, Yao-Yi Chiang, Cyrus Shahabi
2023	J	`jnl`	Supporting Secure Dynamic Alert Zones Using Searchable Encryption and Graph Embedding. CoRR Sina Shaham, Gabriel Ghinita, Cyrus Shahabi
2022	B	`conf`	Differentially-Private Publication of Origin-Destination Matrices with Intermediate Stops. EDBT Sina Shaham, Gabriel Ghinita, Cyrus Shahabi
2022	J	`jnl`	Differentially-Private Publication of Origin-Destination Matrices with Intermediate Stops. CoRR Sina Shaham, Gabriel Ghinita, Cyrus Shahabi
2022	J	`jnl`	Enabling Cooperative Relay Selection by Transfer Learning for the Industrial Internet of Things. IEEE Trans. Cogn. Commun. Netw. Sina Shaham, Shuping Dang, Miaowen Wen, Shahid Mumtaz, Varun G. Menon, Chengzhong Li
2022	J	`jnl`	Models and Mechanisms for Fairness in Location Data Processing. CoRR Sina Shaham, Gabriel Ghinita, Cyrus Shahabi
2022	J	`jnl`	Models and Mechanisms for Spatial Data Fairness. Proc. VLDB Endow. Sina Shaham, Gabriel Ghinita, Cyrus Shahabi
2022	J	`jnl`	When Machine Learning Meets Privacy: A Survey and Outlook. ACM Comput. Surv. Bo Liu, Ming Ding, Sina Shaham, Wenny Rahayu, Farhad Farokhi, Zihuai Lin
2021	B	`conf`	An Efficient and Secure Location-based Alert Protocol using Searchable Encryption and Huffman Codes. EDBT Sina Shaham, Gabriel Ghinita, Cyrus Shahabi
2021	J	`jnl`	An Efficient and Secure Location-based Alert Protocol using Searchable Encryption and Huffman Codes. CoRR Sina Shaham, Gabriel Ghinita, Cyrus Shahabi
2021	—	`conf`	HTF: Homogeneous Tree Framework for Differentially-Private Release of Location Data. SIGSPATIAL/GIS Sina Shaham, Gabriel Ghinita, Ritesh Ahuja, John Krumm, Cyrus Shahabi
2021	J	`jnl`	HTF: Homogeneous Tree Framework for Differentially-Private Release of Location Data. CoRR Sina Shaham, Gabriel Ghinita, Ritesh Ahuja, John Krumm, Cyrus Shahabi
2021	J	`jnl`	Privacy Preservation in Location-Based Services: A Novel Metric and Attack Model. IEEE Trans. Mob. Comput. Sina Shaham, Ming Ding, Bo Liu, Shuping Dang, Zihuai Lin, Jun Li
2021	J	`jnl`	Privacy Preserving Location Data Publishing: A Machine Learning Approach. IEEE Trans. Knowl. Data Eng. Sina Shaham, Ming Ding, Bo Liu, Shuping Dang, Zihuai Lin, Jun Li
2020	B	`conf`	Enhancing the Performance of Spatial Queries on Encrypted Data Through Graph Embedding. DBSec Sina Shaham, Gabriel Ghinita, Cyrus Shahabi
2020	—	`conf`	Extended Kalman Filter Beam Tracking for Millimeter Wave Vehicular Communications. ICC Workshops Sina Shaham, Matthew Kokshoorn, Ming Ding, Zihuai Lin, Mahyar Shirvanimoghaddam
2020	J	`jnl`	When Machine Learning Meets Privacy: A Survey and Outlook. CoRR Bo Liu, Ming Ding, Sina Shaham, Wenny Rahayu, Farhad Farokhi, Zihuai Lin
2019	J	`jnl`	Basic Research Methodology in Wireless Communications: The First Course for Research-Based Graduate Students. IEEE Access Zhongli Wang, Shuping Dang, Sina Shaham, Zhenrong Zhang, Zhihan Lv
2019	J	`jnl`	Fast Channel Estimation and Beam Tracking for Millimeter Wave Vehicular Communications. IEEE Access Sina Shaham, Ming Ding, Matthew Kokshoorn, Zihuai Lin, Shuping Dang, Rana Abbas
2019	J	`jnl`	Machine Learning Aided Anonymization of Spatiotemporal Trajectory Datasets. CoRR Sina Shaham, Ming Ding, Bo Liu, Zihuai Lin, Jun Li
2019	J	`jnl`	On the Importance of Location Privacy for Users of Location Based Applications. CoRR Sina Shaham, Saba Rafieian, Ming Ding, Mahyar Shirvanimoghaddam, Zihuai Lin
2018	J	`jnl`	Privacy Preservation in Location-Based Services: A Novel Metric and Attack Model. CoRR Sina Shaham, Ming Ding, Bo Liu, Zihuai Lin, Jun Li
2018	J	`jnl`	RAF: Robust Adaptive Multi-Feedback Channel Estimation for Millimeter Wave MIMO Systems. CoRR Sina Shaham, Matthew Kokshoorn, Zihuai Lin, Ming Ding
2018	B	`conf`	RAF: Robust adaptive multi-feedback channel estimation for millimeter wave MIMO systems. WCNC Sina Shaham, Matthew Kokshoorn, Zihuai Lin, Ming Ding, Yi Wu