Online structural analysis for handwritten chemical expression recognition. - Peng Tang 003; Siu Cheung Hui; Chi-Wing Fu (ICICS, 2011)

Functional Feature Extraction and Chemical Retrieval. - Peng Tang 003; Siu Cheung Hui; Gao Cong (SSDBM, 2012)

Online chemical symbol recognition for handwritten chemical expression recognition. - Peng Tang 003; Siu Cheung Hui; Chi-Wing Fu (ICIS, 2013)

A Progressive Structural Analysis Approach for Handwritten Chemical Formula Recognition. - Peng Tang 003; Siu Cheung Hui; Chi-Wing Fu (ICDAR, 2013)

Connected Bond Recognition for Handwritten Chemical Skeletal Structural Formulas. - Peng Tang 003; Siu Cheung Hui; Chi-Wing Fu (ICFHR, 2014)

Chemical Symbol Feature Set for Handwritten Chemical Symbol Recognition. - Peng Tang 003; Siu Cheung Hui; Chi-Wing Fu (S+SSPR, 2014)

A lattice-based approach for chemical structural retrieval. - Peng Tang 003; Siu Cheung Hui; Alvis Cheuk M. Fong (Eng. Appl. Artif. Intell., 2015)

Temporal pattern-aware QoS prediction by Biased Non-negative Tucker Factorization of tensors. - Peng Tang 003; Tao Ruan; Hao Wu 061; Xin Luo 001 (Neurocomputing, 2024)

Temporal Pattern-Aware QoS Prediction by Self-Attending Neural Tucker Factorization. - Yikai Hou; Peng Tang 003 (ICHMS, 2025)

Temporal-aware Neural Tucker Factorization for Traffic Data Imputation. - Yikai Hou; Peng Tang 003 (SMC, 2025)

Multi-Head Self-Attending Neural Tucker Factorization. - Yikai Hou; Peng Tang 003 (CoRR, 2025)

Neural Tucker Factorization. - Peng Tang 003; Xin Luo 001 (IEEE CAA J. Autom. Sinica, 2025)

Neural Canonical Polyadic Factorization for Traffic Analysis. - Yikai Hou; Peng Tang 003 (CoRR, 2025)

Auto-Encoding Neural Tucker Factorization. - Peng Tang 003; Xin Luo 001; Jim Woodcock 001 (IEEE Trans. Knowl. Data Eng., 2025)

MPSANT: A novel multi-projection self-attending neural Tucker factorization model for high-dimensional and incomplete data representation learning. - Peng Tang 003; Yikai Hou; Xin Luo 001 (Inf. Fusion, 2026)

Multi-Aspect Self-Attending Neural Tucker Factorization for Spatiotemporal Representation Learning. - Yikai Hou; Peng Tang 003; Xin Luo 001 (IEEE CAA J. Autom. Sinica, 2026)