Please email me if you need a PDF version of my latest CV.

Projects

• Large Language Model for Listwise Generative Recommendation (Ongoing Project) (2023)
  Introduced tuning technique in generative list-wise recommendation by combining lambda loss in natural language generation.
• Financial Portfolio Management: A Multi-Agent Reinforcement Learning Approach 2023
  Utilized Multi-Agent RL to model the collaboration an competition among stock groups to maximize Sharpe Ratio.
• DisMult Variation Auto Encoder for Uncertain Knowledge Graph (2022)
  Supervised by Prof. MiYen Yeh in Academia Sinica.
  Proposed uncertain knowledge graph embedding model and addressed the limitation of current evaluation metrics.
• Daily News Analysis for Stock Prediction (2021)
  Combined world news data and stock transaction feature to predict DJIA; Achieved 58% accuracy in back testing.
• Graph Neural Network for Graph Isomorphism (2020) Adviced by Prof. QiFeng Chen in HKUST.
  Introduced hypernode with greedy algorithm for Graph Isomorphism Problem. (Failed in circulant skip link graph)
• Video-based Person Re-identification (2019)
  Decomposed spatial and temporal features in video with mAP 77.5%, outperforming baselines in MARS.
• Face Super-Resolution with Parsing (2018) Supervised by Prof. ShuengHan CHAN in HKUST.
  Incorporate image parsing pre-trained model to increase peak signal-to-noise ratio (PSNR) from 27 to 28 in CelebA.