Shang Shang

According to our database, Shang Shang authored at least 17 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Can LLMs Deeply Detect Complex Malicious Queries? A Framework for Jailbreaking via Obfuscating Intent.

Shang Shang, Xinqiang Zhao, Zhongjiang Yao, Yepeng Yao, Liya Su, Zijing Fan, Xiaodan Zhang, Zhengwei Jiang

CoRR, 2024

IntentObfuscator: A Jailbreaking Method via Confusing LLM with Prompts.

Shang Shang, Zhongjiang Yao, Yepeng Yao, Liya Su, Zijing Fan, Xiaodan Zhang, Zhengwei Jiang

Proceedings of the Computer Security - ESORICS 2024, 2024

2021

Shoreline Extraction in SAR Image Based on Advanced Geometric Active Contour Model.

Xueyun Wei, Wei Zheng, Caiping Xi, Shang Shang

Remote. Sens., 2021

Deep Hierarchical Product Classification Based on Pre-Trained Multilingual Knowledge.

Wen Zhang, Yanbin Lu, Bella Dubrov, Zhi Xu, Shang Shang, Emilio Maldonado

IEEE Data Eng. Bull., 2021

2020

Sea Clutter Suppression Method of HFSWR Based on RBF Neural Network Model Optimized by Improved GWO Algorithm.

Shang Shang, Kangning He, Zhaobin Wang, Tong Yang, Ming Liu, Xiang Li

Comput. Intell. Neurosci., 2020

2019

Stationary Time Statistical Property of Ionospheric Clutter in High-Frequency Surface-Wave Radar.

Shang Shang, Kangning He, Zhaobin Wang, Xuguang Yang

J. Electr. Comput. Eng., 2019

2015

An Upper Bound on the Convergence Time for Quantized Consensus of Arbitrary Static Graphs.

Shang Shang, Paul Cuff, Pan Hui, Sanjeev R. Kulkarni

IEEE Trans. Autom. Control., 2015

2014

Beyond personalization and anonymity: towards a group-based recommender system.

Shang Shang, Yuk Hui, Pan Hui, Paul Cuff, Sanjeev R. Kulkarni

Proceedings of the Symposium on Applied Computing, 2014

The application of differential privacy for rank aggregation: Privacy and accuracy.

Shang Shang, Tiance Wang, Paul Cuff, Sanjeev R. Kulkarni

Proceedings of the 17th International Conference on Information Fusion, 2014

2013

Privacy Preserving Recommendation System Based on Groups

Shang Shang, Yuk Hui, Pan Hui, Paul W. Cuff, Sanjeev R. Kulkarni

CoRR, 2013

Improving augmented reality using recommender systems.

Zhuo Zhang, Shang Shang, Sanjeev R. Kulkarni, Pan Hui

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

An upper bound on the convergence time for quantized consensus.

Shang Shang, Paul W. Cuff, Pan Hui, Sanjeev R. Kulkarni

Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

2012

A Random Walk Based Model Incorporating Social Information for Recommendations

Shang Shang, Sanjeev R. Kulkarni, Paul W. Cuff, Pan Hui

CoRR, 2012

A randomwalk based model incorporating social information for recommendations.

Shang Shang, Sanjeev R. Kulkarni, Paul W. Cuff, Pan Hui

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

An upper bound on the convergence time for distributed binary consensus.

Shang Shang, Paul W. Cuff, Sanjeev R. Kulkarni, Pan Hui

Proceedings of the 15th International Conference on Information Fusion, 2012

2011

Wisdom of the Crowd: Incorporating Social Influence in Recommendation Models.

Shang Shang, Pan Hui, Sanjeev R. Kulkarni, Paul W. Cuff

Proceedings of the 17th IEEE International Conference on Parallel and Distributed Systems, 2011

2007

A Penalized Linear and Nonlinear Combined Conjugate Gradient Method for the Reconstruction of Fluorescence Molecular Tomography.

Shang Shang, Jing Bai, Xiaolei Song, Hongkai Wang, Jaclyn Lau

Int. J. Biomed. Imaging, 2007