A Preliminary Study on Constructing Decision Tree with Gene Expression Programming. - Weihong Wang; Qu Li; Shanshan Han; Hai Lin (ICICIC (1), 2006)

Evolving Classifier Ensemble With Gene Expression Programming. - Qu Li; Weihong Wang; Shanshan Han; Jianhong Li (ICNC (3), 2007)

Research on the Teaching Method of Combining the Theory and Practice in Data Structure Course. - Zhi Liu; Huaguo Jia; Shanshan Han (ICYCS, 2008)

Research on the updating method of land-use map based on object-oriented analysis. - Dongfeng Ren; Shanshan Han (Geoinformatics, 2010)

The Study of Improved Grid Resource Scheduling Algorithm. - Qingshui Li; Yuling Zhai; Shanshan Han; Binbin Mo (ICICA (LNCS), 2011)

SVM-HMM Based Human Behavior Recognition. - Shanshan Han; Minfei Zhang; Penglin Li; Jinjie Yao (HCC, 2014)

Fuzzy Keywords Query. - Shanshan Han; Hongzhi Wang 001; Hong Gao 001; Jianzhong Li 001; Shenbin Huang (APWeb (2), 2016)

Optimal Scheduling of Friendly Jammers for Securing Wireless Communication. - Jialin Wan; Siyao Cheng; Shanshan Han; Jianzhong Li 001 (CoRR, 2017)

An Algorithm for Generating a Recommended Rule Set Based on Learner's Browse Interest. - Xiaowei Hao; Shanshan Han (Int. J. Emerg. Technol. Learn., 2018)

Using the TensorFlow Deep Neural Network to Classify Mainland China Visitor Behaviours in Hong Kong from Check-in Data. - Shanshan Han; Fu Ren; Chao Wu 005; Ying Chen; Qingyun Du; Xinyue Ye (ISPRS Int. J. Geo Inf., 2018)

An Iterative Scheme for Leverage-Based Approximate Aggregation. - Shanshan Han; Hongzhi Wang 001; Jialin Wan; Jianzhong Li 001 (ICDE, 2019)

Hyperspectral Anomaly Detection Based on Isolation Forest with Band Clustering. - Yuancheng Huang; Yuanyuan Xue; Yuanchao Su; Shanshan Han (IGARSS, 2020)

A privacy-enabled platform for COVID-19 applications: poster abstract. - Michael August; Christopher Davison; Mamadou H. Diallo; Dhrubajyoti Ghosh; Peeyush Gupta; Christopher Graves 002; Shanshan Han; Michael Holstrom; Pramod P. Khargonekar; Megan Kline; Sharad Mehrotra; Shantanu Sharma 001; et al. (SenSys, 2020)

Extracting Representative Images of Tourist Attractions from Flickr by Combining an Improved Cluster Method and Multiple Deep Learning Models. - Shanshan Han; Fu Ren; Qingyun Du; Dawei Gui (ISPRS Int. J. Geo Inf., 2020)

A Tourist Attraction Recommendation Model Fusing Spatial, Temporal, and Visual Embeddings for Flickr-Geotagged Photos. - Shanshan Han; Cuiming Liu; Keyun Chen; Dawei Gui; Qingyun Du (ISPRS Int. J. Geo Inf., 2021)

Learning shape and texture progression for young child face aging. - Lu Liu 009; Haibo Yu; Shenghui Wang 003; Lili Wan; Shanshan Han (Signal Process. Image Commun., 2021)

QUEST: Privacy-Preserving Monitoring of Network Data. - Shantanu Sharma 001; Sharad Mehrotra; Nisha Panwar; Nalini Venkatasubramanian; Peeyush Gupta; Shanshan Han; Guoxi Wang (SERVICES, 2022)

Quest: Privacy-Preserving Monitoring of Network Data: A System for Organizational Response to Pandemics. - Shantanu Sharma 001; Sharad Mehrotra; Nisha Panwar; Nalini Venkatasubramanian; Peeyush Gupta; Shanshan Han; Guoxi Wang (IEEE Trans. Serv. Comput., 2022)

Proof-of-Contribution-Based Design for Collaborative Machine Learning on Blockchain. - Baturalp Buyukates; Chaoyang He 001; Shanshan Han; Zhiyong Fang; Yupeng Zhang 001; Jieyi Long; Ali Farahanchi; Salman Avestimehr (DAPPS, 2023)

MiniTNtk: An Exact Synthesis-based Method for Minimizing Transistor Network. - Weihua Xiao; Shanshan Han; Yue Yang; Shaoze Yang; Cheng Zheng; Jingsong Chen; Tingyuan Liang; Lei Li; Weikang Qian (ICCAD, 2023)

Federated Analytics: A survey. - Ahmed Roushdy Elkordy; Yahya H. Ezzeldin; Shanshan Han; Shantanu Sharma 001; Chaoyang He 001; Sharad Mehrotra; Salman Avestimehr (CoRR, 2023)

FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System. - Weizhao Jin; Yuhang Yao; Shanshan Han; Carlee Joe-Wong; Srivatsan Ravi; Salman Avestimehr; Chaoyang He 001 (CoRR, 2023)

FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs. - Shanshan Han; Baturalp Buyukates; Zijian Hu 001; Han Jin; Weizhao Jin; Lichao Sun 001; Xiaoyang Wang; Chulin Xie; Kai Zhang 039; Qifan Zhang 002; Yuhui Zhang; Chaoyang He 001; et al. (CoRR, 2023)

Kick Bad Guys Out! Zero-Knowledge-Proof-Based Anomaly Detection in Federated Learning. - Shanshan Han; Wenxuan Wu; Baturalp Buyukates; Weizhao Jin; Yuhang Yao; Qifan Zhang 002; Salman Avestimehr; Chaoyang He 001 (CoRR, 2023)

Hiding Access-pattern is Not Enough! Veil: A Storage and Communication Efficient Volume-Hiding Algorithm. - Shanshan Han; Vishal Chakraborty; Michael T. Goodrich; Sharad Mehrotra; Shantanu Sharma 001 (CoRR, 2023)

An access control model for medical big data based on clustering and risk. - Rong Jiang; Shanshan Han; Yimin Yu; Weiping Ding 001 (Inf. Sci., 2023)

Veil: A Storage and Communication Efficient Volume-Hiding Algorithm. - Shanshan Han; Vishal Chakraborty; Michael T. Goodrich; Sharad Mehrotra; Shantanu Sharma 001 (Proc. ACM Manag. Data, 2023)

A 12b 3 GS/s Passive T/H Assisted Time-Interleaved Pipelined SAR ADC with Metastability Reduction Technique and Dynamic-Bias RA. - Qiang Yu; Zheng Zhu; Chao Li Ang; Qin Huang; Shanshan Han; Feng Tai; Rongbin Yang; Shuangyi Wu; Qiang Li (A-SSCC, 2024)

ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency. - Yuhang Yao; Han Jin; Alay Dilipbhai Shah; Shanshan Han; Zijian Hu 001; Dimitris Stripelis; Yide Ran; Zhaozhuo Xu; Salman Avestimehr; Chaoyang He 001 (EMNLP (Industry Track), 2024)

FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs. - Shanshan Han; Baturalp Buyukates; Zijian Hu 001; Han Jin; Weizhao Jin; Lichao Sun 001; Xiaoyang Wang; Wenxuan Wu; Chulin Xie; Yuhang Yao; Kai Zhang 039; Qifan Zhang 002; et al. (KDD, 2024)

LLM Multi-Agent Systems: Challenges and Open Problems. - Shanshan Han; Qifan Zhang 002; Yuhang Yao; Weizhao Jin; Zhaozhuo Xu; Chaoyang He 001 (CoRR, 2024)

TorchOpera: A Compound AI System for LLM Safety. - Shanshan Han; Yuhang Yao; Zijian Hu 001; Dimitris Stripelis; Zhaozhuo Xu; Chaoyang He 001 (CoRR, 2024)

Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond. - Shanshan Han (CoRR, 2024)

Alopex: A Computational Framework for Enabling On-Device Function Calls with LLMs. - Yide Ran; Zhaozhuo Xu; Yuhang Yao; Zijian Hu 001; Shanshan Han; Han Jin; Alay Dilipbhai Shah; Jipeng Zhang; Dimitris Stripelis; Tong Zhang 001; Salman Avestimehr; Chaoyang He 001 (CoRR, 2024)

Fox-1 Technical Report. - Zijian Hu 001; Jipeng Zhang; Rui Pan 002; Zhaozhuo Xu; Shanshan Han; Han Jin; Alay Dilipbhai Shah; Dimitris Stripelis; Yuhang Yao; Salman Avestimehr; Chaoyang He 001; Tong Zhang 001 (CoRR, 2024)

Integrating Optical and SAR Time Series Images for Unsupervised Domain Adaptive Crop Mapping. - Luwei Feng; Dawei Gui; Shanshan Han; Tianqi Qiu; Yumiao Wang (Remote. Sens., 2024)

Bridging the Safety Gap: A Guardrail Pipeline for Trustworthy LLM Inferences. - Shanshan Han; Salman Avestimehr; Chaoyang He 001 (CoRR, 2025)

AccALS 2.0: Accelerating Approximate Logic Synthesis by Simultaneous Selection of Multiple Local Approximate Changes. - Xuan Wang; Xiaomi Zhou; Shanshan Han; Ruicheng Dai; Xiaolong Shen; Menghui Xu; Leibin Ni; Wei Wu; Weikang Qian (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)