About Me

First Post:

2025-01-18

Last Update:

2025-08-08

Word Count:

512

Read Time:

3 min

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Zhang Haoxiang (Isaac)

isaacpfino@gmail.com or Isaac_GHX@shu.edu.cn or haz140@ucsd.edu

ipfipfipf isaac_ghx

Data Science & Big Data Technology Grade-Four Student at Shanghai University

Hello! 好呀 ~

Hello! I am a passionate data scientist and researcher with a strong interest in machine learning, data analysis, and artificial intelligence. I am currently pursuing my Master of Science in Data Science at University of California San Diego.

My research experienced image restoration, continual learning, knowledge graphs, and test-time adaptation. I enjoy solving complex problems and developing innovative solutions that leverage the power of data.

Right now I'm exploiring intellegent decision. I'm looking froward to communicating up-to-date new inspirations!

Education

University of California San Diego (UCSD)

Master of Science in Data Science

09/2025 - 06/2027 (Expected)

Shanghai University

Bachelor of Engineering in Data Science & Big Data Technology

09/2021 - 06/2025

Hong Kong University of Science and Technology

Summer Session - Data & Computer Science

08/2024

University of Pennsylvania, Wharton School

Wharton Innovation, Entrepreneurship and Leadership Program & The Global Leadership Program for Young Scholars.

07/2023 - 08/2023

Publication

Learning from Novel Knowledge: Continual Few-shot Knowledge Graph Completion, CIKM2024 | [paper] | [code]

Zhuofeng Li ^*, Haoxiang Zhang ^*, Qiannan Zhang, Ziyi Kou, Shichao Pei ^✝.

SGNet: Efficient Snow Removal Deep Network with a Global Windowing Transformer, Mathematics | [paper] | [code]

Shan Lie, Haoxiang Zhang, Bodong Cheng ^✝.

MAA-TSF: Multi-Agent Adversarial Time Series Forecasting | [paper] | [code]

Ye Qiao, Cheng Chen, Tong Niu, Zhiyuan Bai, Haoxiang Zhang ^✝.

Map to Optimal: Adapting Graph Out-of-Distribution in Test Time. (Pre-print) | [paper] | [code]

Haoxiang Zhang, Zhuofeng Li, Qiannan Zhang, Ziyi Kou, Lianyong Qi, Shichao Pei ^✝.

Parameter-Efficient Continual Few-Shot Knowledge Graph Completion with Prompt Quantization | [paper] | [code]

Haoxiang Zhang, Zhuofeng Li, Qiannan Zhang, Taicheng Guo, Shichao Pei ^✝.

Long-term Collaboration

Shanghai Tongliang Intelligent Technology Co., Ltd.

> Research Consultant (Permenant).

Focused on exploring Multi-Agent Adversarial (MAA) strategies for competitive and collaborative dynamics in quantitative trading algorithms. Solved challenges related to high instability of financial data and Out-of-Distribution issues in algorithms.

> Chief Scientist (04/2025 - 06/2025)

During this tenure, managed the team to innovate and validate in medium-frequency live trading various MAA-integrated algorithms across diverse asset classes, including but not limited to Chinese market futures and options, cryptocurrencies, and equity investments.

These algorithms included:

Adaptive VWAP multi-scale order splitting strategies.
Q-LEARNING Reinforcement Learning.
VIX based strategies.
Automated feature factor screening.
News information factor mining.

Collaborated with the team to achieve a positive corporate annual profit of 20% (annualized) with a maximum drawdown of 8%.

Internship

Shanghai Artificial Intelligence Labotary

Multimodal Auto-regressive Generation.

View Detail [Lumina-mGPT]

08/2024 - 02/2025

Bank of Communications, Shanghai Branch

Intern, Internet Finance Team & Data Application Team. Decentralized Finance.

07/2024

FASOTEC Co., Ltd.

Technical Assistant. Server Hardware & CATIA Software.

08/2023 - 10/2023

Technical Skills

Programming Languages & Tools

Python (Pandas, NumPy, Scikit-learn, TensorFlow2.x, PyTorch), C/C++, SQL

Frameworks & Technologies

Flask, Git, Spark, MATLAB, Keras, LaTeX, JavaScript

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