most citedCross-Lingual Attention Distillation with Personality-Informed Generative Augmentation for Multilingual Personality Recognition

4 citations · 4 across the 4 of their papers we have counts for

collaborators

8 papers

cs.CL2026

Large-Language-Models-as-a-Judge in Theory-Agnostic Adaptive Metric-Alignment for Prototypical Networks in Personality Recognition

Jing Jie Tan, Ban-Hoe Kwan, Danny Wee-Kiat Ng +6

Personality recognition has traditionally been constrained by theory-dependent formulations, where models are trained to fit predefined psychological taxonomies rather than uncover…

cs.CL20264 cited

Cross-Lingual Attention Distillation with Personality-Informed Generative Augmentation for Multilingual Personality Recognition

Jing Jie Tan, Ban-Hoe Kwan, Danny Wee-Kiat Ng +3

While significant work has been done on personality recognition, the lack of multilingual datasets remains an unresolved challenge. To address this, we propose ADAM (Cross-Lingual…

cs.CV2026

EffiMiniVLM: A Compact Dual-Encoder Regression Framework

Yin-Loon Khor, Yi-Jie Wong, Yan Chai Hum

Predicting product quality from multimodal item information is critical in cold-start scenarios, where user interaction history is unavailable and predictions must rely on images a…

physics.ins-det2026

On the Codesign of Scientific Experiments and Industrial Systems

Tommaso Dorigo, Pietro Vischia, Shahzaib Abbas +84

The optimization of large experiments in fundamental science, such as detectors for subnuclear physics at particle colliders, shares with the optimization of complex systems for in…

cs.CV2026

SiMiC: Context-Aware Silicon Microstructure Characterization Using Attention-Based Convolutional Neural Networks for Field-Emission Tip Analysis

Jing Jie Tan, Rupert Schreiner, Matthias Hausladen +8

Accurate characterization of silicon microstructures is essential for advancing microscale fabrication, quality control, and device performance. Traditional analysis using Scanning…

cs.CV2025

Siamese-Driven Optimization for Low-Resolution Image Latent Embedding in Image Captioning

Jing Jie Tan, Anissa Mokraoui, Ban-Hoe Kwan +2

Image captioning is essential in many fields including assisting visually impaired individuals, improving content management systems, and enhancing human-computer interaction. Howe…