Haonan Yan

According to our database, Haonan Yan authored at least 32 papers between 2016 and 2025.

Collaborative distances:

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

2025

Efficient and Privacy-Preserving Network Intrusion Detection Based on Federated Learning in SDN-Enabled IIoT Network.

Tao Hu, Qian Chen, Yuxiang Hu, Saifeng Hou, Haonan Yan, Peng Yi, Zixi Cui

IEEE Internet Things J., October, 2025

LongCat-Flash Technical Report.

Meituan LongCat Team, Bayan, Bei Li, Bingye Lei, Bo Wang, Bolin Rong, Chao Wang, Chao Zhang, Chen Gao, Chen Zhang, Cheng Sun, Chengcheng Han, Chenguang Xi, Chi Zhang, Chong Peng, Chuan Qin, Chuyu Zhang, Cong Chen, Congkui Wang, Dan Ma, Daoru Pan, Defei Bu, Dengchang Zhao, Deyang Kong, Dishan Liu, Feiye Huo, Fengcun Li, Fubao Zhang, Gan Dong, Gang Liu, Gang Xu, Ge Li, Guoqiang Tan, Guoyuan Lin, Haihang Jing, Haomin Fu, Haonan Yan, Haoxing Wen, Haozhe Zhao, Hong Liu, Hongmei Shi, Hongyan Hao, Hongyin Tang, Huantian Lv, Hui Su, Jiacheng Li, Jiahao Liu, Jiahuan Li, Jiajun Yang, Jiaming Wang, Jian Yang, Jianchao Tan, Jiaqi Sun, Jiaqi Zhang, Jiawei Fu, Jiawei Yang, Jiaxi Hu, Jiayu Qin, Jingang Wang, Jiyuan He, Jun Kuang, Junhui Mei, Kai Liang, Ke He, Kefeng Zhang, Keheng Wang, Keqing He, Liang Gao, Liang Shi, Lianhui Ma, Lin Qiu, Lingbin Kong, Lingtong Si, Linkun Lyu, Linsen Guo, Liqi Yang, Lizhi Yan, Mai Xia, Man Gao, Manyuan Zhang, Meng Zhou, Mengxia Shen, Mingxiang Tuo, Mingyang Zhu, Peiguang Li, Peng Pei, Peng Zhao, Pengcheng Jia, Pingwei Sun, Qi Gu, Qianyun Li, Qingyuan Li, Qiong Huang, Qiyuan Duan, Ran Meng, Rongxiang Weng, Ruichen Shao, Rumei Li, Shizhe Wu, Shuai Liang

CoRR, September, 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, Bin Wang

IEEE Internet Things J., July, 2025

DeFedGCN: Privacy-Preserving Decentralized Federated GCN for Recommender System.

Qian Chen, Zilong Wang, Mengqing Yan, Haonan Yan, Xiaodong Lin, Jianying Zhou

IEEE Trans. Serv. Comput., 2025

A Proactive Defense Against Model Poisoning Attacks in Federated Learning.

Haonan Yan, Chengbo Zheng, Qian Chen, Xiaoguang Li, Bin Wang, Hui Li, Xiaodong Lin

IEEE Trans. Dependable Secur. Comput., 2025

WinGraphUNet: Advanced windowed graph modeling with remixed contextual learning for efficient medical image segmentation.

Xiaoyan Kui, Haonan Yan, Qinsong Li, Lingxiao Liu, Weixin Si, Wei Liang, Beiji Zou

Knowl. Based Syst., 2025

2024

Automatic Evasion of Machine Learning-Based Network Intrusion Detection Systems.

Haonan Yan, Xiaoguang Li, Wenjing Zhang, Rui Wang, Hui Li, Xingwen Zhao, Fenghua Li, Xiaodong Lin

IEEE Trans. Dependable Secur. Comput., 2024

CODER: Protecting Privacy in Image Retrieval With Differential Privacy.

Haonan Yan, Xiaoguang Li, Wenjing Zhang, Qian Chen, Bin Wang, Hui Li, Xiaodong Lin

IEEE Trans. Dependable Secur. Comput., 2024

QP-LDP for Better Global Model Performance in Federated Learning.

Qian Chen, Zheng Chai, Zilong Wang, Haonan Yan, Xiaodong Lin, Jianying Zhou

IEEE Internet Things J., 2024

ChebMixer: Efficient Graph Representation Learning with MLP Mixer.

Xiaoyan Kui, Haonan Yan, Qinsong Li, Liming Chen, Beiji Zou

CoRR, 2024

PAGE: Equilibrate Personalization and Generalization in Federated Learning.

Qian Chen, Zilong Wang, Jiaqi Hu, Haonan Yan, Jianying Zhou, Xiaodong Lin

Proceedings of the ACM on Web Conference 2024, 2024

EL-FDL: Improving Image Forgery Detection and Localization via Ensemble Learning.

Bin Wang, Feifan Wang, Jingge Wang, Haonan Yan, Shaopeng Zhou, Chaohao Li

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

Dap-FL: Federated Learning Flourishes by Adaptive Tuning and Secure Aggregation.

Qian Chen, Zilong Wang, Jiawei Chen, Haonan Yan, Xiaodong Lin

IEEE Trans. Parallel Distributed Syst., June, 2023

Protecting Regression Models With Personalized Local Differential Privacy.

Xiaoguang Li, Haonan Yan, Zelei Cheng, Wenhai Sun, Hui Li

IEEE Trans. Dependable Secur. Comput., 2023

RECESS Vaccine for Federated Learning: Proactive Defense Against Model Poisoning Attacks.

Haonan Yan, Wenjing Zhang, Qian Chen, Xiaoguang Li, Wenhai Sun, Hui Li, Xiaodong Lin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adversarial Example Attacks and Defenses in DNS Data Exfiltration.

Izabela Savic, Haonan Yan, Xiaodong Lin, Daniel Gillis

Proceedings of the Emerging Information Security and Applications, 2023

Class Attention Transfer Based Knowledge Distillation.

Ziyao Guo, Haonan Yan, Hui Li, Xiaodong Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Application and Implementation of Convolutional Neural Network Accelerator Based on FPGA in Environmental Sound Classification.

Jianwei Zhang, Haonan Yan

Proceedings of the 8th International Conference on Computer and Communication Systems, 2023

Protecting Bilateral Privacy in Machine Learning-as-a-Service: A Differential Privacy Based Defense.

Le Wang, Haonan Yan, Xiaodong Lin, Pulei Xiong

Proceedings of the Artificial Intelligence Security and Privacy, 2023

2022

Monitoring-Based Differential Privacy Mechanism Against Query Flooding-Based Model Extraction Attack.

Haonan Yan, Xiaoguang Li, Hui Li, Jiamin Li, Wenhai Sun, Fenghua Li

IEEE Trans. Dependable Secur. Comput., 2022

MARS: Automated Protocol Analysis Framework for Internet of Things.

Haonan Yan, Xiaoguang Li, Rui Dai, Hui Li, Xingwen Zhao, Fenghua Li

IEEE Internet Things J., 2022

LLDP: A Layer-wise Local Differential Privacy in Federated Learning.

Qian Chen, Hongbo Wang, Zilong Wang, Jiawei Chen, Haonan Yan, Xiaodong Lin

Proceedings of the IEEE International Conference on Trust, 2022

QP-LDP for better global model performance in federated learning.

Qian Chen, Zheng Chai, Zilong Wang, Jiawei Chen, Haonan Yan, Xiaodong Lin

Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

ARCANE: An Efficient Architecture for Exact Machine Unlearning.

Haonan Yan, Xiaoguang Li, Ziyao Guo, Hui Li, Fenghua Li, Xiaodong Lin

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Monitoring-based Differential Privacy Mechanism Against Query-Flooding Parameter Duplication Attack.

Haonan Yan, Xiaoguang Li, Hui Li, Jiamin Li, Wenhai Sun, Fenghua Li

CoRR, 2020

2019

Malicious Network Traffic in Industrial Control System.

Xiaoguang Li, Haonan Yan

Dataset, May, 2019

PGSM-DPI: Precisely Guided Signature Matching of Deep Packet Inspection for Traffic Analysis.

Haonan Yan, Hui Li, Mingchi Xiao, Rui Dai, Xianchun Zheng, Xingwen Zhao, Fenghua Li

Proceedings of the 2019 IEEE Global Communications Conference, 2019

ndnShare: File Sharing Application Based on NFD-Android.

Tieying Zhu, Haonan Yan, Liu Yang, Riming Zhang

Proceedings of the 6th ACM Conference on Information-Centric Networking, 2019

2016

A top-down SCMA codebook design scheme based on lattice theory.

Haonan Yan, Hui Zhao, Zhaobiao Lv, Haojun Yang

Proceedings of the 27th IEEE Annual International Symposium on Personal, 2016