ResearchGateResearch and Engineering Projects
A dedicated overview of ongoing and early-stage work.
Ongoing
Current FocusOnco-Pheno-KG (Oncology-Phenotype Knowledge Graph)
With the blockchain ownership workflow completed, current focus is a phenotype-aware oncology KG that links genotype, clinical features, contraindications, and evidence - the data brain for MTB reasoning.
Two-layer schema: pan-cancer backbone plus CRC deep layer (RAS/BRAF/MSI logic and combo-drug contraindications).
Q1 focus: Pan-Cancer 100 cohort, pipeline from OncoKB/CIViC plus curated literature.
Virtual MTB (AI Molecular Tumor Board)
SOP-driven, multi-agent committee (pathology, genetics, oncology, pharmacy, advocate, chair) with check-and-balance reasoning.
GraphRAG + KG-augmented reports: CRC expert-verified ground truth and guideline compliance for non-CRC.
Q1 deliverable: an end-to-end demo from patient mapping to structured recommendations.
Early Projects
FoundationsCancerDao - Blockchain Ownership Workflow
Completed patient-centric access control with SBT identity, token-level ACL, and on-chain audit logs.
Delivered full workflow: key management, consent signing, minting, and admin operations via a Node/Express + PostgreSQL gateway.
Smart Contract Fraud Detection and Obfuscation Analysis
During my visit to Singapore Management University under Prof. Yue Duan and Prof. Kai Li, I designed Obs_tool, a transfer-centric, bytecode-level analysis framework that systematically uncovers and quantifies obfuscation in Ethereum contracts. Building a taxonomy of seven key obfuscation features, I applied Z-score ranking to analyze 1.03 million contracts, isolating over 3,000 highly obfuscated instances.
This study revealed two novel scam types, three high-risk contract categories, and MEV bots employing assembly injection, dead code, and deep function splitting. I further demonstrated that obfuscation significantly increases both the scale of financial damage and evasion time, and showed how the state-of-the-art Ponzi detector SourceP suffers an accuracy drop from about 80 percent on clean samples to about 12 percent on obfuscated ones.
AI and Blockchain Fraud Detection
As part of my research at Zhejiang University with Prof. Haitao Xu, I proposed the ETH-GBERT model, which combines Graph Convolutional Networks (GCN) and BERT to detect fraudulent activities in blockchain transactions. The project involved designing a multimodal learning framework, creating a data pipeline for transaction analysis, and achieving significant improvements over baseline models. PDF
Acoustic Beam-Tracing Software GPU Acceleration
In this project, I accelerated an industrial acoustic simulation software using CUDA. By optimizing memory access patterns, parallel execution strategies, and hardware resource utilization, I achieved a nearly 800x performance improvement. This work also involved rewriting and restructuring legacy code for GPU compatibility.
GPUPixel Project
During my internship at iFlytek AI Research Institute, I worked on the GPUPixel rendering framework. I implemented features such as virtual server-based rendering, enhanced image output functionality, and EGL adaptation to improve the system's performance and future compatibility.
Acoustic Beam-Tracing Software Refactoring
I refactored a 7,000-line Fortran acoustic simulation software into C++. This work focused on ensuring functional consistency, improving code maintainability, and preparing the system for subsequent optimizations and extensions.
E-commerce Recommendation System
For my undergraduate thesis, I designed and implemented a recommendation system for an e-commerce platform. The system analyzed user behavior, search history, and purchasing patterns to deliver personalized product recommendations.
GPS and Sensor Technology for Epidemic Prevention
This project focused on integrating GPS and sensor data to improve epidemic prevention measures. I led the design and development of the system, including architecture planning, frontend interface creation, and backend interaction testing. The project also produced a research report summarizing the theoretical and practical findings.