USC
Degree
Ph.D. in Electrical Engineering (08/2017 - 05/2021), Advisor: C.-C. Jay Kuo (ACM Fellow, IEEE Fellow).
University of Southern California (USC), Los Angeles, USA
Experience & Achievements
Research
During my Ph.D. studies at USC, I focused on representation learning, knowledge graphs, and machine learning research.
Publications
- Graph-Based Deep-Tree Recursive Neural Network (DTRNN) for Text Classification
- Deepwalk-Assisted Graph PCA (DGPCA) for Language Networks
- K-Covers for Active Learning in Image Classification
- Post-Processing of Word Representations via Variance Normalization and Dynamic Embedding
- Evaluating Word Embedding Models: Methods and Experimental Results (ATSIP 2019)
- Graph Representation Learning: A Survey
- Efficient Sentence Embedding via Semantic Subspace Analysis
- SBERT-WK: A Sentence Embedding Method by Dissecting BERT-based Word Models (TASLP 2020)
- Dynamic Texture Synthesis by Incorporating Long-range Spatial and Temporal Correlations
- AnomalyHop: An SSL-based Image Anomaly Localization Method
- Inductive Learning on Commonsense Knowledge Graph Completion (KDD 2021)
- PEDENet: Image Anomaly Localization via Patch Embedding and Density Estimation
- GraphHop: An Enhanced Label Propagation Method for Node Classification
- Task-Specific Dependency-based Word Embedding Methods
- CORE: A Knowledge Graph Entity Type Prediction Method via Complex Space Regression and Embedding
- KGBoost: A Classification-Based Knowledge Base Completion Method with Negative Sampling
- Just Rank: Rethinking Evaluation with Word and Sentence Similarities (ACL 2022)
- SynWMD: Syntax-aware Word Mover's Distance for Sentence Similarity Evaluation
- TypeEA: Type-Associated Embedding for Knowledge Graph Entity Alignment
- An Overview on Language Models: Recent Developments and Outlook
- CompoundE: Compounding Geometric Operations for Knowledge Graph Completion
- GreenKGC: A Lightweight Knowledge Graph Completion Method
- Knowledge Graph Embedding: An Overview
- Knowledge Graph Embedding with 3D Compound Geometric Transformations
- AsyncET: Asynchronous Learning for Knowledge Graph Entity Typing with Auxiliary Relations
Teaching Experience
- EE 599: Applied and Cloud Computing for Electrical Engineers, Dr. Brandon Franzke, Spring 2021
- EE 141L: Applied Linear Algebra for Engineers, Prof. Antonio Ortega, Fall 2020
- EE 155L: Introduction to Computer Programming for Electrical Engineers, Prof. Sandeep Gupta, Spring 2020
- EE 141L: Applied Linear Algebra for Engineers, Prof. Antonio Ortega, Fall 2019
- EE 483: Introduction to Digital Signal Processing, Dr. Robert Popoli, Spring 2019
- EE 483: Introduction to Digital Signal Processing, Prof. Richard Leahy, Fall 2018
Awards
- APSIPA Sadaoki Furui Prize Paper Award, 2024
- APSIPA Sadaoki Furui Prize Paper Award, 2022
- GSG Research Travel Grant, USC, 2019