A top-down SCMA codebook design scheme based on lattice theory. - Haonan Yan; Hui Zhao; Zhaobiao Lv; Haojun Yang (PIMRC, 2016)

ndnShare: File Sharing Application Based on NFD-Android. - Tieying Zhu; Haonan Yan; Liu Yang; Riming Zhang (ICN, 2019)

PGSM-DPI: Precisely Guided Signature Matching of Deep Packet Inspection for Traffic Analysis. - Haonan Yan; Hui Li 006; Mingchi Xiao; Rui Dai; Xianchun Zheng; Xingwen Zhao; Fenghua Li (GLOBECOM, 2019)

Malicious Network Traffic in Industrial Control System. - Xiaoguang Li; Haonan Yan (IEEE DataPort, 2019)

Monitoring-based Differential Privacy Mechanism Against Query-Flooding Parameter Duplication Attack. - Haonan Yan; Xiaoguang Li; Hui Li 006; Jiamin Li; Wenhai Sun; Fenghua Li (CoRR, 2020)

UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-body Decoupling 3D Model. - Haonan Yan; Jiaqi Chen; Xujie Zhang; Shengkai Zhang; Nianhong Jiao; Xiaodan Liang; Tianxiang Zheng (ICCV, 2021)

WAS-VTON: Warping Architecture Search for Virtual Try-on Network. - Zhenyu Xie; Xujie Zhang; Fuwei Zhao; Haoye Dong; Michael C. Kampffmeyer; Haonan Yan; Xiaodan Liang (ACM Multimedia, 2021)

BodyGAN: General-purpose Controllable Neural Human Body Generation. - Chaojie Yang; Hanhui Li; Shengjie Wu; Shengkai Zhang; Haonan Yan; Nianhong Jiao; Jie Tang; Runnan Zhou; Xiaodan Liang; Tianxiang Zheng (CVPR, 2022)

ARCANE: An Efficient Architecture for Exact Machine Unlearning. - Haonan Yan; Xiaoguang Li; Ziyao Guo; Hui Li 006; Fenghua Li; Xiaodong Lin 001 (IJCAI, 2022)

QP-LDP for better global model performance in federated learning. - Qian Chen 032; Zheng Chai; Zilong Wang 001; Jiawei Chen 010; Haonan Yan; Xiaodong Lin 001 (MSN, 2022)

LLDP: A Layer-wise Local Differential Privacy in Federated Learning. - Qian Chen 032; Hongbo Wang; Zilong Wang 001; Jiawei Chen 010; Haonan Yan; Xiaodong Lin 001 (TrustCom, 2022)

MARS: Automated Protocol Analysis Framework for Internet of Things. - Haonan Yan; Xiaoguang Li; Rui Dai; Hui Li 006; Xingwen Zhao; Fenghua Li (IEEE Internet Things J., 2022)

Monitoring-Based Differential Privacy Mechanism Against Query Flooding-Based Model Extraction Attack. - Haonan Yan; Xiaoguang Li; Hui Li 006; Jiamin Li; Wenhai Sun; Fenghua Li (IEEE Trans. Dependable Secur. Comput., 2022)

Protecting Bilateral Privacy in Machine Learning-as-a-Service: A Differential Privacy Based Defense. - Le Wang 010; Haonan Yan; Xiaodong Lin 001; Pulei Xiong (AIS&P (1), 2023)

Application and Implementation of Convolutional Neural Network Accelerator Based on FPGA in Environmental Sound Classification. - Jianwei Zhang; Haonan Yan (ICCCS, 2023)

Class Attention Transfer Based Knowledge Distillation. - Ziyao Guo; Haonan Yan; Hui Li 006; Xiaodong Lin 001 (CVPR, 2023)

Adversarial Example Attacks and Defenses in DNS Data Exfiltration. - Izabela Savic; Haonan Yan; Xiaodong Lin 001; Daniel Gillis (EISA, 2023)

RECESS Vaccine for Federated Learning: Proactive Defense Against Model Poisoning Attacks. - Haonan Yan; Wenjing Zhang 002; Qian Chen 032; Xiaoguang Li; Wenhai Sun; Hui Li 006; Xiaodong Lin 001 (NeurIPS, 2023)

Protecting Regression Models With Personalized Local Differential Privacy. - Xiaoguang Li; Haonan Yan; Zelei Cheng; Wenhai Sun; Hui Li 006 (IEEE Trans. Dependable Secur. Comput., 2023)

Dap-FL: Federated Learning Flourishes by Adaptive Tuning and Secure Aggregation. - Qian Chen 032; Zilong Wang 001; Jiawei Chen 010; Haonan Yan; Xiaodong Lin 001 (IEEE Trans. Parallel Distributed Syst., 2023)

EL-FDL: Improving Image Forgery Detection and Localization via Ensemble Learning. - Bin Wang; Feifan Wang; Jingge Wang; Haonan Yan; Shaopeng Zhou; Chaohao Li (ICANN (2), 2024)

PAGE: Equilibrate Personalization and Generalization in Federated Learning. - Qian Chen 032; Zilong Wang 001; Jiaqi Hu; Haonan Yan; Jianying Zhou 001; Xiaodong Lin 001 (WWW, 2024)

ChebMixer: Efficient Graph Representation Learning with MLP Mixer. - Xiaoyan Kui; Haonan Yan; Qinsong Li; Liming Chen 002; Beiji Zou 001 (CoRR, 2024)

QP-LDP for Better Global Model Performance in Federated Learning. - Qian Chen 032; Zheng Chai; Zilong Wang 001; Haonan Yan; Xiaodong Lin 001; Jianying Zhou 001 (IEEE Internet Things J., 2024)

CODER: Protecting Privacy in Image Retrieval With Differential Privacy. - Haonan Yan; Xiaoguang Li; Wenjing Zhang 002; Qian Chen 032; Bin Wang 062; Hui Li 006; Xiaodong Lin 001 (IEEE Trans. Dependable Secur. Comput., 2024)

Automatic Evasion of Machine Learning-Based Network Intrusion Detection Systems. - Haonan Yan; Xiaoguang Li; Wenjing Zhang 002; Rui Wang; Hui Li 006; Xingwen Zhao; Fenghua Li; Xiaodong Lin 001 (IEEE Trans. Dependable Secur. Comput., 2024)

A Proactive Defense Against Model Poisoning Attacks in Federated Learning. - Haonan Yan; Chengbo Zheng; Qian Chen 032; Xiaoguang Li; Bin Wang 062; Hui Li 006; Xiaodong Lin 001 (IEEE Trans. Dependable Secur. Comput., 2025)

DeFedGCN: Privacy-Preserving Decentralized Federated GCN for Recommender System. - Qian Chen 032; Zilong Wang 001; Mengqing Yan; Haonan Yan; Xiaodong Lin 001; Jianying Zhou 001 (IEEE Trans. Serv. Comput., 2025)

MalAE: A Feature-Optimized and Autoencoder Ensemble-Based Method for IoT Malware Classification. - Chengrun He; Honghui Fan; Lihua Yin; Haonan Yan; Xi Luo; Hui Li 006; Bin Wang 062 (IEEE Internet Things J., 2025)