Research & engineering
I work on applied machine learning, financial technology, and reliable data systems.
My research spans financial NLP and time series, institutional portfolio structure, the visibility of online information, and mission-critical voice experiments. I also contribute to open-source infrastructure, observability, and API tooling.
Published articles, accepted papers, and public preprints. Venue rankings and citation metrics link to their sources.
Finance Research Letters
Diversification within institutional portfolios and distinctiveness across institutions are separate dimensions. Evidence from the 500 largest reported 13F portfolios per quarter, 2013Q2–2025Q4.
IEEE Access · 14: 88558–88565
Financial NLP models are evaluated against Bitcoin return variation using timestamp-aware tweet and market data. The analysis emphasizes chronological evaluation and the timing of information availability.
Decision Analytics Journal · 18: 100685
A comparison of LSTM, dual-layer LSTM, and Transformer models for returns across five major global stock indices, combining technical and fundamental inputs.
Accepted papers are included before proceedings publication; their status remains explicit.
12th IEEE International Conference on Collaboration and Internet Computing (CIC 2026) · Application Track
Joint IEEE conference event · CIC · CogMI · TPS · RISC ↗
A reproducible audit of YouTube search API availability and result-set stability before any content-verification step. The study separates completed runs, empty results, and changing search results.
38th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2026) · Full paper
An explainable monitoring framework for institutional portfolio similarity networks, using community structure and decomposable bridge alerts to support analyst review.
IEEE International Conference on Intelligent Systems and Interdisciplinary Applications (ISAIA 2026)
An interpretable audit of search visibility signals in short-form video, using public YouTube API observations and explainable machine learning.
2nd International Conference on AI and Emerging Technology for Sustainable Future (ICAISF 2026)
Sector-conditioned monitoring of institutional portfolio similarity, combining reported holdings with sector information to support financial-services analysts.
2nd International Conference on Software Engineering and Machine Learning (CONF-SEML 2024) · 76(1): 65–71
A comparison of tree-based kinodynamic motion-planning methods, including RRT, RRT*, and DIRT, with attention to learned control and planning performance.
arXiv · 2509.13724
An experimental framework that combines automated speech recognition and crowdsourced listening tasks to study comprehension in mission-critical voice communications.
SJR quartiles use SCImago subject categories and are distinct from JCR quartiles. CCF and ICORE classify conference venues. Labels identify the dataset year; “publisher display” marks a current publisher value whose metric year is not stated. These are venue-level measures, separate from a paper’s acceptance or publication status.
Sources checked October 5, 2026. Each paper page provides metric details and source links.
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October 6, 2026 · Online
Liang Hu · World Virtual Conference on Artificial Intelligence, Blockchain & Cybersecurity
Scheduled presentation17:20–17:45 CEST · 11:20–11:45 New York
A conference presentation, listed separately from proceedings papers. A prerecorded presentation has been supplied to the organizers.
Conference website ↗