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20172026
most citedEvolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results

137 citations · 351 across the 41 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.CV2026

Authority-Preserving Evaluation of Medical Vision-Language Assistants

Flint Xiaofeng Fan, Cheston Tan, Yew-Soon Ong +1

Medical vision-language models can propose how urgently a skin lesion should be reviewed, but the local service retains authority to accept or replace that proposal under referral…

cs.AI2026

FedPref: Federated Preference Learning for Structured Radiology Report Extraction

Flint Xiaofeng Fan, Cheston Tan, Yew-Soon Ong +1

Radiology reports describe findings and locations in free text, but downstream search and analysis require these relations in a fixed schema. Learning this extraction requires labe…

cs.CV2026

EvTrajGS: Accurate and Efficient 3D Gaussian Splatting from Unposed Event Streams

Zixuan Chen, Jiakai Zhang, Junhao Dong +4

Event cameras, with high temporal resolution, high dynamic range, and asynchronous sensing characteristics, have shown great potential for dense 3D reconstruction. Traditional reco…

cs.CV2026

Unifying Adversarially Robust Model Experts in Vision-Language Models

Nguyen Duc Thai, Junhao Dong, Sua Qi Rong +2

Vision-language models (VLMs), such as CLIP, are vulnerable to adversarial attacks, posing a serious problem for real-life applications and deployment. Adversarial fine-tuning emer…

cs.NE2026

Landscape-aware Automated Algorithm Design: An Efficient Framework for Real-world Optimization

Haoran Yin, Shuaiqun Pan, Zhao Wei +5

The advent of Large Language Models (LLMs) has opened new frontiers in automated algorithm design, giving rise to numerous powerful methods. However, these approaches retain critic…

cs.LG2026

Out-of-Distribution Generalization for Neural Physics Solvers

Zhao Wei, Chin Chun Ooi, Jian Cheng Wong +3

Neural physics solvers are increasingly used in scientific discovery, given their potential for rapid in silico insights into physical, materials, or biological systems and their l…