Guojiang Zhao

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 13

Top Topics

Supervised Dimensionality Reduction

High Dimensional Data Analysis

Dynamic Epistemic Logic

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Trans. Mach. Learn. Res.

Publications

Haitao Lin, Guojiang Zhao, Odin Zhang, Yufei Huang, Lirong Wu, Zicheng Liu, Siyuan Li, Cheng Tan, Zhifeng Gao, Stan Z. Li
CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph. CoRR (2024)
Lirong Wu, Haitao Lin, Zhangyang Gao, Guojiang Zhao, Stan Z. Li
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation. CoRR (2024)
Hanchen Xia, Feng Jiang, Naihao Deng, Cunxiang Wang, Guojiang Zhao, Rada Mihalcea, Yue Zhang
SQL-CRAFT: Text-to-SQL through Interactive Refinement and Enhanced Reasoning. CoRR (2024)
Lirong Wu, Haitao Lin, Zhangyang Gao, Guojiang Zhao, Stan Z. Li
A Teacher-Free Graph Knowledge Distillation Framework With Dual Self-Distillation. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Zhifeng Gao, Xiaohong Ji, Guojiang Zhao, Hongshuai Wang, Hang Zheng, Guolin Ke, Linfeng Zhang
Uni-QSAR: an Auto-ML Tool for Molecular Property Prediction. CoRR (2023)
Lirong Wu, Lifan Yuan, Guojiang Zhao, Haitao Lin, Stan Z. Li
Deep Clustering and Visualization for End-to-End High-Dimensional Data Analysis. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang, Guojiang Zhao, Yue Zhang, Stan Z. Li
Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings. CoRR (2022)
Haitao Lin, Lirong Wu, Yongjie Xu, Yufei Huang, Siyuan Li, Guojiang Zhao, Stan Z. Li
Non-equispaced Fourier Neural Solvers for PDEs. CoRR (2022)
Haitao Lin, Lirong Wu, Guojiang Zhao, Pai Liu, Stan Z. Li
Exploring Generative Neural Temporal Point Process. CoRR (2022)
Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang, Guojiang Zhao, Yue Zhang, Stan Z. Li
Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings. ACL (1) (2022)
Haitao Lin, Lirong Wu, Guojiang Zhao, Pai Liu, Stan Z. Li
Exploring Generative Neural Temporal Point Process. Trans. Mach. Learn. Res. 2022 (2022)
Lirong Wu, Jun Xia, Haitao Lin, Zhangyang Gao, Zicheng Liu, Guojiang Zhao, Stan Z. Li
Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification. CoRR (2022)
Haitao Lin, Guojiang Zhao, Lirong Wu, Stan Z. Li
STONet: A Neural-Operator-Driven Spatio-temporal Network. CoRR (2022)