An enhanced 0-1 mixed-integer LP formulation for traffic signal control. - Wei-Hua Lin; Chenghong Wang (IEEE Trans. Intell. Transp. Syst., 2004)

Deterministic Learning and Pattern-Based NN Control. - Cong Wang 007; Tengfei Liu; Chenghong Wang (ISIC, 2007)

Rapid Recognition of Dynamical Patterns via Deterministic Learning and State Observation. - Cong Wang; Chenghong Wang; Su Song (ISIC, 2007)

An Improved Delay-dependent Stability Criteria for Recurrent Neural Networks with Time-varying Delay. - Zhuo Wang; Chenghong Wang; Su Song (ISIC, 2008)

A local approach of adaptive affinity propagation clustering for large scale data. - Changyin Sun 001; Chenghong Wang; Su Song; Yifan Wang (IJCNN, 2009)

Special issue on big data research in China. - Nanning Zheng 001; Jun Zhang 003; Chenghong Wang (Knowl. Inf. Syst., 2014)

SCOTCH: Secure Counting Of encrypTed genomiC data using a Hybrid approach. - Chenghong Wang; Yichen Jiang; Feng Chen 016; Noman Mohammed; Xiaoqian Jiang; Md Momin Al Aziz; Md. Nazmus Sadat; Shuang Wang 002 (AMIA, 2017)

The k-peak Decomposition: Mapping the Global Structure of Graphs. - Priya Govindan; Chenghong Wang; Chumeng Xu; Hongyu Duan; Sucheta Soundarajan (WWW, 2017)

Privacy-preserving biomedical data dissemination via a hybrid approach. - Yichen Jiang; Chenghong Wang; Shuang Wang 002 (AMIA, 2018)

A Fast and Effective Memristor-Based Method for Finding Approximate Eigenvalues and Eigenvectors of Non-negative Matrices. - Chenghong Wang; Zeinab S. Jalali; Caiwen Ding; Yanzhi Wang; Sucheta Soundarajan (ISVLSI, 2018)

Outis: Crypto-Assisted Differential Privacy on Untrusted Servers. - Amrita Roy Chowdhury 001; Chenghong Wang; Xi He 001; Ashwin Machanavajjhala; Somesh Jha (CoRR, 2019)

Parallel testing of vehicle intelligence via virtual-real interaction. - Li Li 013; Xiao Wang 002; Kunfeng Wang; Yilun Lin 002; Jingmin Xin; Long Chen 005; Linhai Xu; Bin Tian 003; Yunfeng Ai; Jian Wang 003; Dongpu Cao; Yuehu Liu; et al. (Sci. Robotics, 2019)

SecureLR: Secure Logistic Regression Model via a Hybrid Cryptographic Protocol. - Yichen Jiang; Jenny Hamer; Chenghong Wang; Xiaoqian Jiang; Miran Kim; Yongsoo Song; Yuhou Xia; Noman Mohammed; Md. Nazmus Sadat; Shuang Wang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Poirot: private contact summary aggregation: poster abstract. - Yanping Zhang; Chenghong Wang; David Pujol; Johes Bater; Matthew Lentz; Ashwin Machanavajjhala; Kartik Nayak; Lavanya Vasudevan; Jun Yang (SenSys, 2020)

Crypt?: Crypto-Assisted Differential Privacy on Untrusted Servers. - Amrita Roy Chowdhury 001; Chenghong Wang; Xi He 001; Ashwin Machanavajjhala; Somesh Jha (SIGMOD Conference, 2020)

MCMIA: Model Compression Against Membership Inference Attack in Deep Neural Networks. - Yijue Wang; Chenghong Wang; Zigeng Wang; Shanglin Zhou; Hang Liu 001; Jinbo Bi; Caiwen Ding; Sanguthevar Rajasekaran (CoRR, 2020)

ESMFL: Efficient and Secure Models for Federated Learning. - Sheng Lin 001; Chenghong Wang; Hongjia Li; Jieren Deng; Yanzhi Wang; Caiwen Ding (CoRR, 2020)

SAPAG: A Self-Adaptive Privacy Attack From Gradients. - Yijue Wang; Jieren Deng; Dan Guo; Chenghong Wang; Xianrui Meng; Hang Liu 001; Caiwen Ding; Sanguthevar Rajasekaran (CoRR, 2020)

TAG: Gradient Attack on Transformer-based Language Models. - Jieren Deng; Yijue Wang; Ji Li 006; Chenghong Wang; Chao Shang; Hang Liu 001; Sanguthevar Rajasekaran; Caiwen Ding (EMNLP (Findings), 2021)

A Secure and Efficient Federated Learning Framework for NLP. - Chenghong Wang; Jieren Deng; Xianrui Meng; Yijue Wang; Ji Li 006; Sheng Lin 001; Shuo Han 002; Fei Miao; Sanguthevar Rajasekaran; Caiwen Ding (EMNLP (1), 2021)

Against Membership Inference Attack: Pruning is All You Need. - Yijue Wang; Chenghong Wang; Zigeng Wang; Shanglin Zhou; Hang Liu 001; Jinbo Bi; Caiwen Ding; Sanguthevar Rajasekaran (IJCAI, 2021)

Practical Security and Privacy for Database Systems. - Xi He 001; Jennie Rogers; Johes Bater; Ashwin Machanavajjhala; Chenghong Wang; Xiao Wang 012 (SIGMOD Conference, 2021)

DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy. - Chenghong Wang; Johes Bater; Kartik Nayak; Ashwin Machanavajjhala (SIGMOD Conference, 2021)

China's 12-Year Quest of Autonomous Vehicular Intelligence: The Intelligent Vehicles Future Challenge Program. - Fei-Yue Wang 001; Nanning Zheng 001; Li Li 013; Jingmin Xin; Xiao Wang 002; Linhai Xu; Bin Tian 003; Guozheng Wu; Zhaotian Zhang; Chenghong Wang; Long Chen 005 (IEEE Intell. Transp. Syst. Mag., 2021)

Variance of the Gradient Also Matters: Privacy Leakage from Gradients. - Yijue Wang; Jieren Deng; Dan Guo; Chenghong Wang; Xianrui Meng; Hang Liu 001; Chao Shang; Binghui Wang; Qin Cao; Caiwen Ding; Sanguthevar Rajasekaran (IJCNN, 2022)

IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy. - Chenghong Wang; Johes Bater; Kartik Nayak; Ashwin Machanavajjhala (SIGMOD Conference, 2022)

Construction of a Family of Maximally Entangled Bases in ℂd ⊗ ℂd′. - Chenghong Wang; Kun Wang; Zhu-Jun Zheng (Entropy, 2022)

PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment. - Hongwu Peng; Shanglin Zhou; Yukui Luo; Nuo Xu; Shijin Duan; Ran Ran; Jiahui Zhao; Chenghong Wang; Tong Geng; Wujie Wen; Xiaolin Xu 001; Caiwen Ding (DAC, 2023)

AutoReP: Automatic ReLU Replacement for Fast Private Network Inference. - Hongwu Peng; Shaoyi Huang; Tong Zhou 002; Yukui Luo; Chenghong Wang; Zigeng Wang; Jiahui Zhao; Xi Xie; Ang Li 006; Tony Geng; Kaleel Mahmood; Wujie Wen; et al. (ICCV, 2023)

AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization. - Yukui Luo; Nuo Xu; Hongwu Peng; Chenghong Wang; Shijin Duan; Kaleel Mahmood; Wujie Wen; Caiwen Ding; Xiaolin Xu 001 (MICRO, 2023)

LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference. - Hongwu Peng; Ran Ran; Yukui Luo; Jiahui Zhao; Shaoyi Huang; Kiran Thorat; Tong Geng; Chenghong Wang; Xiaolin Xu 001; Wujie Wen; Caiwen Ding (NeurIPS, 2023)

RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference. - Hongwu Peng; Shanglin Zhou; Yukui Luo; Nuo Xu; Shijin Duan; Ran Ran; Jiahui Zhao; Shaoyi Huang; Xi Xie; Chenghong Wang; Tong Geng; Wujie Wen; et al. (CoRR, 2023)

Private Proof-of-Stake Blockchains using Differentially-private Stake Distortion. - Chenghong Wang; David Pujol; Kartik Nayak; Ashwin Machanavajjhala (IACR Cryptol. ePrint Arch., 2023)

Encrypted Data Management Systems with tunable Privacy. - Chenghong Wang (2023)

Memristor-Based Spectral Decomposition of Matrices and Its Applications. - Zeinab S. Jalali; Chenghong Wang; Griffin Kearney; Geng Yuan; Caiwen Ding; Yinan Zhou; Yanzhi Wang; Sucheta Soundarajan (IEEE Trans. Computers, 2023)

SSNet: A Lightweight Multi-Party Computation Scheme for Practical Privacy-Preserving Machine Learning Service in the Cloud. - Shijin Duan; Chenghong Wang; Hongwu Peng; Yukui Luo; Wujie Wen; Caiwen Ding; Xiaolin Xu 001 (CoRR, 2024)

Differentially Private Learned Indexes. - Jianzhang Du; Tilak Mudgal; Rutvi Rahul Gadre; Yukui Luo; Chenghong Wang (CoRR, 2024)

SPECIAL: Synopsis Assisted Secure Collaborative Analytics. - Chenghong Wang; Lina Qiu; Johes Bater; Yukui Luo (Proc. VLDB Endow., 2024)

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs. - Yongming Fan; Rui Zhu; Zihao Wang; Chenghong Wang; Haixu Tang; Ye Dong; Hyunghoon Cho; Lucila Ohno-Machado (CoRR, 2025)

Picachv: Formally Verified Data Use Policy Enforcement for Secure Data Analytics. - Haobin Hiroki Chen; Hongbo Chen; Mingshen Sun; Chenghong Wang; XiaoFeng Wang 001 (CoRR, 2025)