BNGBS: An efficient network boosting system with triple incremental learning capabilities for more nodes, samples, and classes. - Liangjun Feng; Chunhui Zhao 001; C. L. Philip Chen; Yuanlong Li; Min Zhou; Honglin Qiao; Chuan Fu (Neurocomputing, 2020)

Fault Description Based Attribute Transfer for Zero-Sample Industrial Fault Diagnosis. - Liangjun Feng; Chunhui Zhao 001 (IEEE Trans. Ind. Informatics, 2021)

Multichannel Diffusion Graph Convolutional Network for the Prediction of Endpoint Composition in the Converter Steelmaking Process. - Liangjun Feng; Chunhui Zhao 001; Yuanlong Li; Min Zhou; Honglin Qiao; Chuan Fu (IEEE Trans. Instrum. Meas., 2021)

Transfer Increment for Generalized Zero-Shot Learning. - Liangjun Feng; Chunhui Zhao 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Dual Attention-Based Encoder-Decoder: A Customized Sequence-to-Sequence Learning for Soft Sensor Development. - Liangjun Feng; Chunhui Zhao 001; Youxian Sun (IEEE Trans. Neural Networks Learn. Syst., 2021)

Bias-Eliminated Semantic Refinement for Any-Shot Learning. - Liangjun Feng; Chunhui Zhao 001; Xi Li 001 (IEEE Trans. Image Process., 2022)

A Systematic Evaluation and Benchmark for Embedding-Aware Generative Models: Features, Models, and Any-shot Scenarios. - Liangjun Feng; Jiancheng Zhao; Chunhui Zhao 001 (CoRR, 2023)

Addressing Domain Shift via Knowledge Space Sharing for Generalized Zero-Shot Industrial Fault Diagnosis. - Jiancheng Zhao; Jiaqi Yue; Liangjun Feng; Chunhui Zhao 001; Jinliang Ding (CoRR, 2023)

Cube: A Roblox View of 3D Intelligence. - Kiran Bhat; Nishchaie Khanna; Karun Channa; Tinghui Zhou; Yiheng Zhu; Xiaoxia Sun; Charles Shang; Anirudh Sudarshan; Maurice Chu; Daiqing Li; Kangle Deng; Jean-Philippe Fauconnier; et al. (CoRR, 2025)