Optimizing the heterogeneous network on-chip design in manycore architectures. - Tung Thanh Le; Rui Ning; Dan Zhao 001; Hongyi Wu; Magdy A. Bayoumi (SoCC, 2017)

Puncturable Attribute-Based Encryption for Secure Data Delivery in Internet of Things. - Tran Viet Xuan Phuong; Rui Ning; Chunsheng Xin; Hongyi Wu (INFOCOM, 2018)

DeepMag: Sniffing Mobile Apps in Magnetic Field through Deep Convolutional Neural Networks. - Rui Ning; Cong Wang 006; Chunsheng Xin; Jiang Li 001; Hongyi Wu (PerCom, 2018)

CapJack: Capture In-Browser Crypto-jacking by Deep Capsule Network through Behavioral Analysis. - Rui Ning; Cong Wang 006; Chunsheng Xin; Jiang Li 001; Liuwan Zhu; Hongyi Wu (INFOCOM, 2019)

GangSweep: Sweep out Neural Backdoors by GAN. - Liuwan Zhu; Rui Ning; Cong Wang 006; Chunsheng Xin; Hongyi Wu (ACM Multimedia, 2020)

DeepMag+: Sniffing mobile apps in magnetic field through deep learning. - Rui Ning; Cong Wang 006; Chunsheng Xin; Jiang Li 001; Hongyi Wu (Pervasive Mob. Comput., 2020)

Secure Mobile Computing by Using Convolutional and Capsule Deep Neural Networks. - Rui Ning (2020)

CLEAR: Clean-up Sample-Targeted Backdoor in Neural Networks. - Liuwan Zhu; Rui Ning; Chunsheng Xin; Chonggang Wang; Hongyi Wu (ICCV, 2021)

Invisible Poison: A Blackbox Clean Label Backdoor Attack to Deep Neural Networks. - Rui Ning; Jiang Li 001; Chunsheng Xin; Hongyi Wu (INFOCOM, 2021)

Optimal Deployment for Target-Barrier Coverage Problems in Wireless Sensor Networks. - Pengju Si; Shuaishuai Wang; Lei Shu 001; Rui Ning; Zhumu Fu (IEEE Syst. J., 2021)

Hibernated Backdoor: A Mutual Information Empowered Backdoor Attack to Deep Neural Networks. - Rui Ning; Jiang Li 001; Chunsheng Xin; Hongyi Wu; Chonggang Wang (AAAI, 2022)

Hunter: HE-Friendly Structured Pruning for Efficient Privacy-Preserving Deep Learning. - Yifei Cai; Qiao Zhang 002; Rui Ning; Chunsheng Xin; Hongyi Wu (AsiaCCS, 2022)

ACADIA: Efficient and Robust Adversarial Attacks Against Deep Reinforcement Learning. - Haider Ali; Mohannad Al Ameedi; Ananthram Swami; Rui Ning; Jiang Li 001; Hongyi Wu; Jin-Hee Cho (CNS, 2022)

Most and Least Retrievable Images in Visual-Language Query Systems. - Liuwan Zhu; Rui Ning; Jiang Li 001; Chunsheng Xin; Hongyi Wu (ECCV (37), 2022)

Context-based Adblocker using Siamese Neural Network. - Shawn Collins; Emily Wu; Rui Ning (CSP, 2022)

TrojanFlow: A Neural Backdoor Attack to Deep Learning-based Network Traffic Classifiers. - Rui Ning; Chunsheng Xin; Hongyi Wu (INFOCOM, 2022)

BlockFed: A High-Performance and Trustworthy Blockchain-Based Federated Learning Framework. - Rui Ning; Chonggang Wang; Xu Li 027; Robert Gazda; Hongyi Wu (GLOBECOM, 2023)

ScanFed: Scalable Behavior-Based Backdoor Detection in Federated Learning. - Rui Ning; Jiang Li 001; Chunsheng Xin; Chonggang Wang; Xu Li 027; Robert Gazda; Jin-Hee Cho; Hongyi Wu (ICDCS, 2023)

SEER: Backdoor Detection for Vision-Language Models through Searching Target Text and Image Trigger Jointly. - Liuwan Zhu; Rui Ning; Jiang Li 001; Chunsheng Xin; Hongyi Wu (AAAI, 2024)

Posture Estimation and Adjustment for Robotic Precise Peg-in-Hole Based on Fuzzy Variable Admittance Control. - Rui Ning; Yi Liu; Jinbo We; Shuanghe Yu (ASCC, 2024)

MOSAIC: A Prune-and-Assemble Approach for Efficient Model Pruning in Privacy-Preserving Deep Learning. - Yifei Cai; Qiao Zhang 002; Rui Ning; Chunsheng Xin; Hongyi Wu (AsiaCCS, 2024)

Research on Low-Temperature Storage Refrigeration Technology Based on Factors of Biological Sample Damage. - Mingyu Zheng; Kun Zhou; Yongsheng Hu; Xinyue Yao; Guo Yuan; Rui Ning; Yansong Fan (CISP-BMEI, 2024)

A Dual Transfer Framework for Cooperative Spectrum Sensing in Cognitive Radio. - Lusi Li; Rui Ning; Ziyu Wang; Shuai Hao (ICNC, 2024)

SPOT: Structure Patching and Overlap Tweaking for Effective Pipelining in Privacy-Preserving MLaaS with Tiny Clients. - Xiangrui Xu 004; Qiao Zhang 002; Rui Ning; Chunsheng Xin; Hongyi Wu (ICDCS, 2024)

Demo Abstract: Toward the Convergence of the Next-Generation Wireless and AI. - Rui Ning; Chonggang Wang; Robert Gazda; Hongyi Wu (INFOCOM (Workshops), 2024)

Comet: A Communication-efficient and Performant Approximation for Private Transformer Inference. - Xiangrui Xu 004; Qiao Zhang 002; Rui Ning; Chunsheng Xin; Hongyi Wu (CoRR, 2024)

Online path planning of pork cutting robot using 3D laser point cloud. - Yi Liu 045; Rui Ning; Mingxin Du; Shuanghe Yu; Yan Yan 023 (Ind. Robot, 2024)

Sub-Band Backdoor Attack in Remote Sensing Imagery. - Kazi Aminul Islam; Hongyi Wu; Chunsheng Xin; Rui Ning; Liuwan Zhu; Jiang Li 001 (Algorithms, 2024)

Enabling Virtual Priority in Data Center Congestion Control. - Zhaochen Zhang; Feiyang Xue; Keqiang He; Zhimeng Yin 001; Gianni Antichi; Jiaqi Gao; Yizhi Wang; Rui Ning; Haixin Nan; Xu Zhang 006; Peirui Cao; Xiaoliang Wang 001; et al. (EuroSys, 2025)

Deep Incomplete Multi-view Clustering via Multi-level Imputation and Contrastive Alignment. - Ziyu Wang; Yiming Du; Yao Wang; Rui Ning; Lusi Li (Neural Networks, 2025)

PrivShap: A Finer-granularity Network Linearization Method for Private Inference. - Xiangrui Xu 004; Zhenzhen Wang; Rui Ning; Chunsheng Xin; Hongyi Wu (Trans. Mach. Learn. Res., 2025)

FlashForge: Ultra-Efficient Prefix-Aware Attention for LLM Decoding. - Zhibin Wang 002; Rui Ning; Chao Fang; Zhonghui Zhang; Xi Lin; Shaobo Ma; Mo Zhou; Xue Li 024; Zhongfeng Wang; Chengying Huan; Rong Gu; Kun Yang; et al. (CoRR, 2025)

Heterogeneous Graph Backdoor Attack. - Jiawei Chen; Lusi Li; Daniel Takabi; Masha Sosonkina; Rui Ning (CoRR, 2025)