Publications (27)
Utilizing Low-Cost Sensors to Monitor Indoor Air Quality in Mongolian Gers
Callum E. Flowerday, Philip Lundrigan, Christopher Kitras +2
Air quality has important climate and health effects. There is a need, therefore, to monitor air quality both indoors and outdoors. Methods of measuring air quality should be cost-…
Noise Contrastive Estimation-based Matching Framework for Low-Resource Security Attack Pattern Recognition
Tu Nguyen, Nedim Å rndiÄ, Alexander Neth
Tactics, Techniques and Procedures (TTPs) represent sophisticated attack patterns in the cybersecurity domain, described encyclopedically in textual knowledge bases. Identifying TT…
A Comprehensive Low and High-level Feature Analysis for Early Rumor Detection on Twitter
Tu Nguyen
Recent work have done a good job in modeling rumors and detecting them over microblog streams. However, the performance of their automatic approaches are not relatively high when l…
Memisis: Orchestrating and Evaluating Synthetic Data for Tabular Health Datasets
Nitish Nagesh, Pengbao Zhou, Atchuth Naveen Chilaparasetti +8
Synthetic data is widely used in healthcare to create datasets that preserve statistical properties of real data without exposing sensitive patient information. Generating and eval…
On the Predictability of non-CGM Diabetes Data for Personalized Recommendation
Tu Nguyen, Markus Rokicki
With continuous glucose monitoring (CGM), data-driven models on blood glucose prediction have been shown to be effective in related work. However, such (CGM) systems are not always…
On the Feasibility of Predicting Questions being Forgotten in Stack Overflow
Thi Huyen Nguyen, Tu Nguyen, Tuan-Anh Hoang +1
For their attractiveness, comprehensiveness and dynamic coverage of relevant topics, community-based question answering sites such as Stack Overflow heavily rely on the engagement…
Admissibility of solution estimators for stochastic optimization
Amitabh Basu, Tu Nguyen, Ao Sun
We look at stochastic optimization problems through the lens of statistical decision theory. In particular, we address admissibility, in the statistical decision theory sense, of t…
Uniqueness estimates for the general complex conductivity equation and their applications to inverse problems
Catalin Carstea, Tu Nguyen, Jenn-Nan Wang
The aim of the paper is twofold. Firstly, we would like to derive quantitative uniqueness estimates for solutions of the general complex conductivity equation. It is still unknown…
Globally optimal and scalable -way matching of astronomy catalogs
Tu Nguyen, Amitabh Basu, Támas Budavári
Building on previous Bayesian approaches, we introduce a novel formulation of probabilistic cross-identification, where detections are directly associated to (hypothesized) astrono…
Approximate Cloaking for The Heat Equation via Transformation Optics
Hoai-Minh Nguyen, Tu Nguyen
In this paper, we establish approximate cloaking for the heat equation via transformation optics. We show that the degree of visibility is of the order in three dimensions and…
Estimates for the -Problem on Rational Hartogs Triangles
Tran Vu Khanh, Tu Nguyen
The paper proves that solution operators for the $ar{\\partial}$-problem on rational Hartogs triangles are bounded on spaces for a range of , and identifies the -inter…
Rethinking Large Language Model Distillation: A Constrained Markov Decision Process Perspective
Matthieu Zimmer, Xiaotong Ji, Tu Nguyen +1
We introduce a novel approach to large language model (LLM) distillation by formulating it as a constrained reinforcement learning problem. While recent work has begun exploring th…
On Early-stage Debunking Rumors on Twitter: Leveraging the Wisdom of Weak Learners
Tu Nguyen, Cheng Li, Claudia Niederée
Recently a lot of progress has been made in rumor modeling and rumor detection for micro-blogging streams. However, existing automated methods do not perform very well for early ru…
Tree-OPO: Off-policy Monte Carlo Tree-Guided Advantage Optimization for Multistep Reasoning
Bingning Huang, Tu Nguyen, Matthieu Zimmer
Recent advances in reasoning with large language models (LLMs) have shown the effectiveness of Monte Carlo Tree Search (MCTS) for generating high quality intermediate trajectories,…
Multiple Models for Recommending Temporal Aspects of Entities
Tu Nguyen, Nattiya Kanhabua, Wolfgang Nejdl
Entity aspect recommendation is an emerging task in semantic search that helps users discover serendipitous and prominent information with respect to an entity, of which salience (…
Highly Stable Silicon Anodes Enabled by Sub-10 nm Pores and Particles
Pankaj Ghildiyal, Brandon Wagner, Jianjun Chen +4
Silicon anodes offer high energy densities for next-generation lithium-ion batteries; however, their application is limited by severe volume expansion during cycling. Making silico…
Power series solution of the modified KdV equation
Tu Nguyen
We prove local-wellposedness of the mKdV equation in spaces using the new method of M. Christ.
TraceView: Interactive Visualization of Agentic Program Repair Trajectories
Amirali Sajadi, Tu Nguyen, Kimmie Huynh +2
LLM-based automated program repair (APR) agents generate patches to fix software bugs with minimal human intervention. These agents often produce long trajectories of reasoning, to…
AXE: Grey-Box Exploitability Confirmation for Localized Vulnerability Reports
Amirali Sajadi, Tu Nguyen, Kostadin Damevski +1
Vulnerability detection tools are widely adopted in software projects, yet they often overwhelm maintainers with false positives and non-actionable reports. Automated exploitation…
A Trio Neural Model for Dynamic Entity Relatedness Ranking
Tu Nguyen, Tuan Tran, Wolfgang Nejdl
Measuring entity relatedness is a fundamental task for many natural language processing and information retrieval applications. Prior work often studies entity relatedness in stati…
Trustworthy synthetic data for campaign decision support: strategy simulation fidelity and the PolicySynth framework
Tung Dang, The Hung Phung, Son Lam Nguyen +1
The paper presents PolicySynth, a synthetic data generation framework designed to preserve decision alignment for marketing campaign support, and introduces strategy simulation fid…
RBCTest: Leveraging LLMs to Mine and Verify Oracles of API Response Bodies for RESTful API Testing
Hieu Huynh, Tri Le, Tu Nguyen +3
In API testing, deriving logical constraints on API response bodies to be used as oracles is crucial for generating test cases and performing automated testing of RESTful APIs. How…
The Model Knows, the Decoder Finds: Future Value Guided Particle Power Sampling
Tu Nguyen, Matthieu Zimmer, Rasul Tutunov +2
A recurring pattern in "reasoning without training" is that base LLMs already assign non-trivial probability mass to correct multi-step solutions; the bottleneck is locating these…
On a question of Landis and Oleinik
Tu Nguyen
We answer in the affirmative a question posed by Landis and Oleinik on unique continuation of variable coefficients parabolic equations.
Spatiotemporal Tile-based Attention-guided LSTMs for Traffic Video Prediction
Tu Nguyen
This extended abstract describes our solution for the Traffic4Cast Challenge 2019. The task requires modeling both fine-grained (pixel-level) and coarse (region-level) spatial stru…
How Persuasive is Your Context?
Tu Nguyen, Kevin Du, Alexander Miserlis Hoyle +1
Two central capabilities of language models (LMs) are: (i) drawing on prior knowledge about entities, which allows them to answer queries such as "What's the official language of A…
Enabling hand gesture customization on wrist-worn devices
Xuhai Xu, Jun Gong, Carolina Brum +13
We present a framework for gesture customization requiring minimal examples from users, all without degrading the performance of existing gesture sets. To achieve this, we first de…