EmoSense: Data-Driven Emotion Sensing via Off-the-Shelf WiFi Devices. - Yu Gu 003; Tao Liu 024; Jie Li 002; Fuji Ren; Zhi Liu 002; Xiaoyan Wang 003; Peng Li 017 (ICC, 2018)

EmoSense: Computational Intelligence Driven Emotion Sensing via Wireless Channel Data. - Yu Gu 003; Yantong Wang; Tao Liu 024; Yusheng Ji; Zhi Liu 002; Peng Li 017; Xiaoyan Wang 003; Xin An; Fuji Ren (IEEE Trans. Emerg. Top. Comput. Intell., 2020)

Glint: Decentralized Federated Graph Learning with Traffic Throttling and Flow Scheduling. - Tao Liu 024; Peng Li 017; Yu Gu 003 (IWQoS, 2021)

AppSense: Detecting Smartphone Usage via WiFi Signals. - Tao Liu 024; Peng Li 017; Cheng Zhang (MONAMI, 2021)

Large-Area Human Behavior Recognition with Commercial Wi-Fi Devices. - Tao Liu 024; Shengli Pan 001; Peng Li 017 (MSN, 2021)

Efficient Transformer Inference for Extremely Weak Edge Devices Using Masked Autoencoders. - Tao Liu 024; Peng Li 017; Yu Gu 003; Peng Liu 027 (ICC, 2023)

S-Glint: Secure Federated Graph Learning With Traffic Throttling and Flow Scheduling. - Tao Liu 024; Peng Li 017; Yu Gu 003; Zhou Su (IEEE Trans. Green Commun. Netw., 2023)

Efficient Inference of Graph Neural Networks Using Local Sensitive Hash. - Tao Liu 024; Peng Li 017; Zhou Su; Mianxiong Dong (IEEE Trans. Sustain. Comput., 2024)

Streaming Graph Learning in IoT With Storage Optimization and Communication Reduction. - Tao Liu 024; Shengli Pan 001; Peng Li 017 (IEEE Internet Things J., 2025)