Online Bearing Fault Diagnosis using Support Vector Machine and Stacked Auto-Encoder. - Wentao Mao; Siyu Tian; Xihui Liang; Jianliang He (ICPHM, 2018)

UAVs cooperative air-to-ground associated task assignment algorithm based on Multi-Agent and Contract Net Protocol. - Kun Zhang 029; Zekun Liu; Haotian Shi; Ke Li; Zhenchong Zhang; Jianliang He (ICCA, 2020)

Information Entropy-Based Intention Prediction of Aerial Targets under Uncertain and Incomplete Information. - Tongle Zhou; Mou Chen; Yuhui Wang; Jianliang He; Chenguang Yang 001 (Entropy, 2020)

Predicting Remaining Useful Life of Rolling Bearings Based on Deep Feature Representation and Transfer Learning. - Wentao Mao; Jianliang He; Ming Jian Zuo (IEEE Trans. Instrum. Meas., 2020)

Prediction of Bearings Remaining Useful Life Across Working Conditions Based on Transfer Learning and Time Series Clustering. - Wentao Mao; Jianliang He; Bin Sun 010; Liyun Wang (IEEE Access, 2021)

A UAV Maneuver Decision-Making Algorithm for Autonomous Airdrop Based on Deep Reinforcement Learning. - Ke Li; Kun Zhang 029; Zhenchong Zhang; Zekun Liu; Shuai Hua; Jianliang He (Sensors, 2021)

A Single-DOF Quadrilateral Pyramid Deployable Unit and Its Networking Mechanism. - Jinwei Guo; Jianliang He; Guoxing Zhang (ICIRA (3), 2023)

Cross-domain adaptation network based on attention mechanism for tool wear prediction. - Jianliang He; Yuxin Sun; Chen Yin; Yan He; Yulin Wang (J. Intell. Manuf., 2023)

Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation. - Jianliang He; Han Zhong; Zhuoran Yang (ICLR, 2024)

From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems. - Jianliang He; Siyu Chen 001; Fengzhuo Zhang; Zhuoran Yang (ICML, 2024)

Multi-view contrastive learning framework for tool wear detection with insufficient annotated data. - Rui Shu; Yadong Xu; Jianliang He; Xiaolong Yang; Zhiheng Zhao; George Q. Huang (Adv. Eng. Informatics, 2024)

SAT: Data-light Uncertainty Set Merging via Synthetics, Aggregation, and Test Inversion. - Shenghao Qin; Jianliang He; Bowen Gang; Yin Xia (CoRR, 2024)

Deep convolutional neural network based on self-distillation for tool wear recognition. - Yi Pan; Ling Hao; Jianliang He; Kun Ding; Qiang Yu; Yulin Wang (Eng. Appl. Artif. Intell., 2024)

Multiattention-Based Feature Aggregation Convolutional Networks With Dual Focal Loss for Fault Diagnosis of Rotating Machinery Under Data Imbalance Conditions. - Yadong Xu; Sheng Li; Xiaoan Yan; Jianliang He; Qing Ni; Yuxin Sun; Yulin Wang (IEEE Trans. Instrum. Meas., 2024)

In-Context Linear Regression Demystified: Training Dynamics and Mechanistic Interpretability of Multi-Head Softmax Attention. - Jianliang He; Xintian Pan; Siyu Chen; Zhuoran Yang (CoRR, 2025)

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report. - Sajana Weerawardhena; Paul Kassianik; Blaine Nelson; Baturay Saglam; Anu Vellore; Aman Priyanshu; Supriti Vijay; Massimo Aufiero; Arthur Goldblatt; Fraser Burch; Ed Li; Jianliang He; et al. (CoRR, 2025)