An IoT Service Framework for Smart Home: Case Study on HEM. - Xue Li 011; Lanshun Nie; Shuo Chen; De-chen Zhan; Xiaofei Xu (IEEE MS, 2015)

Understanding and Improving Deep Neural Network for Activity Recognition. - Xue Li 011; Xiandong Si; Lanshun Nie; Jiazhen Li; Renjie Ding; De-chen Zhan; Dianhui Chu (CoRR, 2018)

Empirical Study and Improvement on Deep Transfer Learning for Human Activity Recognition. - Renjie Ding; Xue Li 011; Lanshun Nie; Jiazhen Li; Xiandong Si; Dianhui Chu; Guozhong Liu; De-chen Zhan (Sensors, 2019)

A Class Incremental Temporal-Spatial Model Based on Wireless Sensor Networks for Activity Recognition. - Xue Li 011; Lanshun Nie; Xiandong Si; De-chen Zhan (WASA (1), 2020)

Enhancing Representation of Deep Features for Sensor-Based Activity Recognition. - Xue Li 011; Lanshun Nie; Xiandong Si; Renjie Ding; De-chen Zhan (Mob. Networks Appl., 2021)

Few shot learning-based fast adaptation for human activity recognition. - Lanshun Nie; Xue Li 011; Tianying Gong; Dechen Zhan (Pattern Recognit. Lett., 2022)

An Open-Set Semi-Supervised Contrastive Learning for Bearing Fault Diagnosis. - Wenxiao Cheng; Xue Li 011; Donglin Di; Xiaohe Wu; Lanshun Nie; Dechen Zhan; Lei Fan 007 (IEEE Trans. Instrum. Meas., 2025)

S2C-HAR: A Semi-Supervised Human Activity Recognition Framework Based on Contrastive Learning. - Xue Li 011; Mingxing Liu; Lanshun Nie; Wenxiao Cheng; Xiaohe Wu; Dechen Zhan (Concurr. Comput. Pract. Exp., 2025)

SAGE: A Visual Language Model for Anomaly Detection via Fact Enhancement and Entropy-aware Alignment. - Guoxin Zang; Xue Li 011; Donglin Di; Lanshun Nie; Dechen Zhan; Yang Song 001; Lei Fan 007 (CoRR, 2025)

LLaPa: A Vision-Language Model Framework for Counterfactual-Aware Procedural Planning. - Shibo Sun; Xue Li 011; Donglin Di; Mingjie Wei; Lanshun Nie; Wei-Nan Zhang 003; Dechen Zhan; Yang Song 001; Lei Fan 007 (CoRR, 2025)