activity
20162026
most citedDeep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling

34 citations · 260 across the 69 of their papers we have counts for

collaborators

78 papers

cs.AI2026

Agentic Multi-Turn Reasoning: A Fairness Approach

Thanh-Dat Truong, Sankalp Pandey, Hugh Churchill +3

Recent advances in Large Language Models (LLMs) have enabled agentic systems capable of solving complex tasks through multi-turn planning, tool use, verification, and memory update…

cs.CV2026

PRISM-RAG: Multimodal Hypergraph Retrieval-Augmented Generation for Tobacco Product and Legislative Policy Reasoning

Manuel Serna-Aguilera, Raegan Anderes, Page Dobbs +1

The disambiguation of semantically similar statutory text across jurisdictions is a retrieval problem that existing methods do not solve. This inter-context conflict can steer gene…

cs.CV2026

QuPAINT: Physics-Aware Multimodal Reasoning for Quantum Material Characterization

Sankalp Pandey, Xuan-Bac Nguyen, Hoang-Quan Nguyen +4

Characterizing two-dimensional (2D) quantum materials by optical microscopy requires localizing exfoliated flakes and determining their layer thickness from subtle optical contrast…

cs.LG2026

-Graph: Attention-Infused Normalizing Flow Approach to Tractable Graph Modeling

Thanh-Dat Truong, Sarah Alharbi, Susan Gauch +3

Graph modeling, a crucial task for representing complex relationships in graph-structured data, has achieved significant success in recent years. However, current graph modeling me…

cs.LG2026

QLAM: A Quantum Long-Attention Memory Approach to Long-Sequence Token Modeling

Hoang-Quan Nguyen, Sankalp Pandey, Khoa Luu

Modeling long-range dependencies in sequential data remains a central challenge in machine learning. Transformers address this challenge through attention mechanisms, but their qua…

cs.CV2024

ED-SAM: An Efficient Diffusion Sampling Approach to Domain Generalization in Vision-Language Foundation Models

Thanh-Dat Truong, Xin Li, Bhiksha Raj +2

The Vision-Language Foundation Model has recently shown outstanding performance in various perception learning tasks. The outstanding performance of the vision-language model mainl…