Data Mining on Algae Concentrations (Chlorophyll) Time Series in Source Water Based on Wavelet. - Jinsuo Lu; Tinglin Huang; Rui Hu (FSKD (5), 2008)

Data Mining on Source Water Quality (Tianjin, China) for Forecasting Algae Bloom Based on Artificial Neural Network (ANN). - Jinsuo Lu; Tinglin Huang; Chunyan Wang 021 (CSIE (7), 2009)

Application of Heuristic Genetic Algorithm for Optimal Layout of Flow Measurement Stations in Water Distribution Networks. - Hui Zhang; Tinglin Huang; Wenjie He (ICNC (4), 2009)

Data Mining on Forecast Raw Water Quality from Online Monitoring Station Based on Decision-Making Tree. - Jinsuo Lu; Tinglin Huang (NCM, 2009)

Learning Affective Features Based on VIP for Video Affective Content Analysis. - Yingying Zhu 001; Min Tong; Tinglin Huang; Zhenkun Wen; Qi Tian 001 (PCM (3), 2018)

Neural Network-Based Deep Encoding for Mixed-Attribute Data Classification. - Tinglin Huang; Yulin He; De-Xin Dai; Wenting Wang; Joshua Zhexue Huang (PAKDD (Workshops), 2019)

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems. - Tinglin Huang; Yuxiao Dong; Ming Ding 004; Zhen Yang; Wenzheng Feng; Xinyu Wang 001; Jie Tang 001 (KDD, 2021)

Learning Intents behind Interactions with Knowledge Graph for Recommendation. - Xiang Wang 010; Tinglin Huang; Dingxian Wang; Yancheng Yuan; Zhenguang Liu; Xiangnan He 001; Tat-Seng Chua (WWW, 2021)

GRAND+: Scalable Graph Random Neural Networks. - Wenzheng Feng; Yuxiao Dong; Tinglin Huang; Ziqi Yin; Xu Cheng; Evgeny Kharlamov; Jie Tang 001 (WWW, 2022)

BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs. - Zhen Yang 034; Tinglin Huang; Ming Ding 004; Yuxiao Dong; Rex Ying; Yukuo Cen; Yangliao Geng; Jie Tang 001 (KDD, 2023)

Learning to Group Auxiliary Datasets for Molecule. - Tinglin Huang; Ziniu Hu; Rex Ying (NeurIPS, 2023)

BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs. - Zhen Yang; Tinglin Huang; Ming Ding 004; Yuxiao Dong; Rex Ying; Yukuo Cen; Yangliao Geng; Jie Tang 001 (CoRR, 2023)

SurfPro: Functional Protein Design Based on Continuous Surface. - Zhenqiao Song; Tinglin Huang; Lei Li 005; Wengong Jin (ICML, 2024)

Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer. - Tinglin Huang; Zhenqiao Song; Rex Ying; Wengong Jin (NeurIPS, 2024)

Does Negative Sampling Matter? A Review with Insights into its Theory and Applications. - Zhen Yang; Ming Ding 004; Tinglin Huang; Yukuo Cen; Junshuai Song; Bin Xu 001; Yuxiao Dong; Jie Tang 001 (CoRR, 2024)

HEART: Learning better representation of EHR data with a heterogeneous relation-aware transformer. - Tinglin Huang; Syed Asad Rizvi; Rohan Krishna Thakur; Vimig Socrates; Meili Gupta; David van Dijk; R. Andrew Taylor; Rex Ying (J. Biomed. Informatics, 2024)

Does Negative Sampling Matter? a Review With Insights Into its Theory and Applications. - Zhen Yang 034; Ming Ding 004; Tinglin Huang; Yukuo Cen; Junshuai Song; Bin Xu 001; Yuxiao Dong; Jie Tang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Experience Retrieval-Augmentation with Electronic Health Records Enables Accurate Discharge QA. - Justice Ou; Tinglin Huang; Yilun Zhao 001; Ziyang Yu; Peiqing Lu; Rex Ying (CoRR, 2025)

Beyond Feature Importance: Feature Interactions in Predicting Post-Stroke Rigidity with Graph Explainable AI. - Jiawei Xu 006; Yonggeon Lee; Anthony Elkommos Youssef; Eunjin Yun; Tinglin Huang; Tianjian Guo; Hamidreza Saber; Rex Ying; Ying Ding 001 (CoRR, 2025)

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching. - Tinglin Huang; Tianyu Liu 005; Mehrtash Babadi; Wengong Jin; Rex Ying (CoRR, 2025)

HEIST: A Graph Foundation Model for Spatial Transcriptomics and Proteomics Data. - Hiren Madhu; João F. Rocha; Tinglin Huang; Siddharth Viswanath; Smita Krishnaswamy; Rex Ying (CoRR, 2025)