Tinglin Huang

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 14

Top Topics

Acquire Knowledge

Effective Learning

Content Analysis

Top Venues

PAKDD (Workshops)

Publications

Zhen Yang, Ming Ding, Tinglin Huang, Yukuo Cen, Junshuai Song, Bin Xu, Yuxiao Dong, Jie Tang
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications. CoRR (2024)
Zhen Yang, Ming Ding, Tinglin Huang, Yukuo Cen, Junshuai Song, Bin Xu, Yuxiao Dong, Jie Tang
Does Negative Sampling Matter? a Review With Insights Into its Theory and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 46 (8) (2024)
Zhenqiao Song, Tinglin Huang, Lei Li, Wengong Jin
SurfPro: Functional Protein Design Based on Continuous Surface. CoRR (2024)
Tinglin Huang, Ziniu Hu, Rex Ying
Learning to Group Auxiliary Datasets for Molecule. CoRR (2023)
Tinglin Huang, Ziniu Hu, Rex Ying
Learning to Group Auxiliary Datasets for Molecule. NeurIPS (2023)
Zhen Yang, Tinglin Huang, Ming Ding, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs. CoRR (2023)
Zhen Yang, Tinglin Huang, Ming Ding, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs. KDD (2023)
Wenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang
GRAND+: Scalable Graph Random Neural Networks. WWW (2022)
Wenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang
GRAND+: Scalable Graph Random Neural Networks. CoRR (2022)
Tinglin Huang, Yuxiao Dong, Ming Ding, Zhen Yang, Wenzheng Feng, Xinyu Wang, Jie Tang
MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems. KDD (2021)
Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua
Learning Intents behind Interactions with Knowledge Graph for Recommendation. WWW (2021)
Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua
Learning Intents behind Interactions with Knowledge Graph for Recommendation. CoRR (2021)
Tinglin Huang, Yulin He, De-Xin Dai, Wenting Wang, Joshua Zhexue Huang
Neural Network-Based Deep Encoding for Mixed-Attribute Data Classification. PAKDD (Workshops) (2019)
Yingying Zhu, Min Tong, Tinglin Huang, Zhenkun Wen, Qi Tian
Learning Affective Features Based on VIP for Video Affective Content Analysis. PCM (3) (2018)
Jinsuo Lu, Tinglin Huang
Data Mining on Forecast Raw Water Quality from Online Monitoring Station Based on Decision-Making Tree. NCM (2009)
Hui Zhang, Tinglin Huang, Wenjie He
Application of Heuristic Genetic Algorithm for Optimal Layout of Flow Measurement Stations in Water Distribution Networks. ICNC (4) (2009)
Jinsuo Lu, Tinglin Huang, Chunyan Wang
Data Mining on Source Water Quality (Tianjin, China) for Forecasting Algae Bloom Based on Artificial Neural Network (ANN). CSIE (7) (2009)
Jinsuo Lu, Tinglin Huang, Rui Hu
Data Mining on Algae Concentrations (Chlorophyll) Time Series in Source Water Based on Wavelet. FSKD (5) (2008)