19 citations · 19 across the 4 of their papers we have counts for
7 papers
SemReuse: Certified Reuse of Cached Natural-Language Views for Semantic Operators
Phat T. Tran-Truong, Tung Kieu, Xuan-Bach Le +4
Semantic operators allow users to filter unstructured data using conditions expressed in natural language, but existing systems typically invoke an LLM for every input tuple. Analy…
Universal Multi-Domain Translation via Diffusion Routers
Duc Kieu, Kien Do, Tuan Hoang +4
Multi-domain translation (MDT) aims to learn translations between multiple domains, yet existing approaches either require fully aligned tuples or can only handle domain pairs seen…
DmC: Nearest Neighbor Guidance Diffusion Model for Offline Cross-domain Reinforcement Learning
Linh Le Pham Van, Minh Hoang Nguyen, Duc Kieu +3
Cross-domain offline reinforcement learning (RL) seeks to enhance sample efficiency in offline RL by utilizing additional offline source datasets. A key challenge is to identify an…
h-Edit: Effective and Flexible Diffusion-Based Editing via Doob's h-Transform
Toan Nguyen, Kien Do, Duc Kieu +1
We introduce a theoretical framework for diffusion-based image editing by formulating it as a reverse-time bridge modeling problem. This approach modifies the backward process of a…
Bidirectional Diffusion Bridge Models
Duc Kieu, Kien Do, Toan Nguyen +2
Diffusion bridges have shown potential in paired image-to-image (I2I) translation tasks. However, existing methods are limited by their unidirectional nature, requiring separate mo…
TEAM: Topological Evolution-aware Framework for Traffic Forecasting--Extended Version
Duc Kieu, Tung Kieu, Peng Han +3
Due to the global trend towards urbanization, people increasingly move to and live in cities that then continue to grow. Traffic forecasting plays an important role in the intellig…
Variational Flow Models: Flowing in Your Style
Kien Do, Duc Kieu, Toan Nguyen +4
We propose a systematic training-free method to transform the probability flow of a "linear" stochastic process characterized by the equation X_{t}=a_{t}X_{0}+σ_{t}X_{1} into a str…