Towards Poisoning the Neural Collaborative Filtering-Based Recommender Systems. - Yihe Zhang 001; Jiadong Lou; Li Chen 019; Xu Yuan 001; Jin Li 002; Tom Johnsten; Nian-Feng Tzeng (ESORICS (1), 2020)

AoI and Throughput Tradeoffs in Routing-aware Multi-hop Wireless Networks. - Jiadong Lou; Xu Yuan 001; Sastry Kompella; Nian-Feng Tzeng (INFOCOM, 2020)

Instant AoI Optimization in IoT Networks with Packet Combination. - Jiadong Lou; Xu Yuan 001; Nian-Feng Tzeng (SECON, 2020)

Reverse Attack: Black-box Attacks on Collaborative Recommendation. - Yihe Zhang 001; Xu Yuan 001; Jin Li 002; Jiadong Lou; Li Chen 019; Nian-Feng Tzeng (CCS, 2021)

Messy States of Wiring: Vulnerabilities in Emerging Personal Payment Systems. - Jiadong Lou; Xu Yuan 001; Ning Zhang 017 (USENIX Security Symposium, 2021)

FedNILM: Applying Federated Learning to NILM Applications at the Edge. - Yu Zhang 189; Guoming Tang; Qianyi Huang; Yi Wang 004; Xudong Wang; Jiadong Lou (CoRR, 2021)

EchoSpot: Spotting Your Locations via Acoustic Sensing. - Jie Lian; Jiadong Lou; Li Chen 019; Xu Yuan 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Boosting or Hindering: AoI and Throughput Interrelation in Routing-Aware Multi-Hop Wireless Networks. - Jiadong Lou; Xu Yuan 001; Sastry Kompella; Nian-Feng Tzeng (IEEE/ACM Trans. Netw., 2021)

Data Privacy Examination against Semi-Supervised Learning. - Jiadong Lou; Xu Yuan 001; Miao Pan; Hao Wang 022; Nian-Feng Tzeng (AsiaCCS, 2023)

Devils in Your Apps: Vulnerabilities and User Privacy Exposure in Mobile Notification Systems. - Jiadong Lou; Xiaohan Zhang; Yihe Zhang 001; Xinghua Li 001; Xu Yuan 001; Ning Zhang 017 (DSN, 2023)

Age of Information Optimization in Multi-Channel Based Multi-Hop Wireless Networks. - Jiadong Lou; Xu Yuan 001; Purushottam Sigdel; Xiaoqi Qin; Sastry Kompella; Nian-Feng Tzeng (IEEE Trans. Mob. Comput., 2023)

Towards Robust Vision Transformer via Masked Adaptive Ensemble. - Fudong Lin; Jiadong Lou; Xu Yuan 001; Nian-Feng Tzeng (CIKM, 2024)

EchoSensor: Fine-grained Ultrasonic Sensing for Smart Home Intrusion Detection. - Jie Lian; Changlai Du; Jiadong Lou; Li Chen 019; Xu Yuan 001 (ACM Trans. Sens. Networks, 2024)

Room-scale Location Trace Tracking via Continuous Acoustic Waves. - Jie Lian; Xu Yuan 001; Jiadong Lou; Li Chen 019; Hao Wang 022; Nian-Feng Tzeng (ACM Trans. Sens. Networks, 2024)

GRID: Protecting Training Graph from Link Stealing Attacks on GNN Models. - Jiadong Lou; Xu Yuan 001; Rui Zhang; Xingliang Yuan; Neil Zhenqiang Gong; Nian-Feng Tzeng (SP, 2025)

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions. - Jiadong Lou; Bingqing Liu; Yuanheng Xiong; Xiaodong Zhang 020; Xu Yuan 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions. - Jiadong Lou; Bingqing Liu; Yuanheng Xiong; Xiaodong Zhang; Xu Yuan (CoRR, 2025)

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack. - Fudong Lin; Jiadong Lou; Hao Wang 022; Brian Jalaian; Xu Yuan 001 (CoRR, 2025)