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Yew Soon Ong

HEMO: Harness Self-Evolution for Multi-Objective Combinatorial Optimization
2026 · Zhu, Jianghan, Zhang, Cong, et al. · arXiv (Cornell University)
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Constrained Differentiable Policy Learning for Safe Quadrotor Navigation
2026 · Tan, Yan Rui, Krishnapur, Praveen, et al. · arXiv (Cornell University)
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Evolutionary Computation for Trustworthy AI: From Attacks and Defenses to Self-Evolving Era
2026 · Dong, Junhao, Wang, Chenkai, et al. · arXiv (Cornell University)
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In-Context Guidance: Learning Inter-Task Synergies via Numerical Foundational Models for Few-Shot Multitask Optimization
2026 · Wei, Tingyang, Wu, Haofeng, et al. · arXiv (Cornell University)
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Authority-Preserving Evaluation of Medical Vision-Language Assistants
2026 · Fan, Flint Xiaofeng, Tan, Cheston, et al. · arXiv (Cornell University)
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Resilient Concurrent Causal Discovery for Topological Event Sequences
2026 · Tian, Jiyu, Dong, Junhao, et al. · arXiv (Cornell University)
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FedPref: Federated Preference Learning for Structured Radiology Report Extraction
2026 · Fan, Flint Xiaofeng, Tan, Cheston, et al. · arXiv (Cornell University)
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Two Sides of the Same Coin: Co-Evolving Search for Cross-Task Attacks on Vision-Language Models
2026 · Lin, Xuanhui, Dong, Junhao, et al. · arXiv (Cornell University)
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Unifying Adversarially Robust Model Experts in Vision-Language Models
2026 · Thai, Nguyen Duc, Dong, Junhao, et al. · arXiv (Cornell University)
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Novelty Search with Cross-Task Collaborative Discovery
2026 · Liu, Jiao, Li, Yanchi, et al. · arXiv (Cornell University)
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Few-Shot Domain Incremental Learning via Continual Vision-Language Consolidation
2026 · Paeedeh, Naeem, Pratama, Mahardhika, et al. · arXiv (Cornell University)
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Causal Scaffolding for Physical Reasoning: A Benchmark for Causally-Informed Physical World Understanding in VLMs
2026 · Tang, Tianyi, Lin, Zhuoyi, et al. · arXiv (Cornell University)
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LLM Agents Make Collective Belief Dynamics Programmable: Challenges and Research Directions
2026 · He, Xin, Shen, Junxi, et al. · arXiv (Cornell University)
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A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook
2026 · Luo, Kaiwen, Zhou, Zhenhong, et al. · arXiv (Cornell University)
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TriVAL: A Tri-Validation Framework for Faithful Automatic Optimization Modeling
2026 · Fang, Ziyang, Wang, JinXi, et al. · arXiv (Cornell University)
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Automated Large-scale CVRP Solver Design via LLM-assisted Flexible MCTS
2026 · Guo, Tong, Chen, Caishun, et al. · arXiv (Cornell University)
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Possibilistic Predictive Uncertainty for Deep Learning
2026 · Ni, Yao, Houssineau, Jeremie, et al. · arXiv (Cornell University)
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Hierarchically Robust Zero-shot Vision-language Models
2026 · Dong, Junhao, Zhang, Yifei, et al. · arXiv (Cornell University)
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GRASP: Gradient Realignment via Active Shared Perception for Multi-Agent Collaborative Optimization
2026 · Zhou, Sihan, He, Tiantian, et al. · arXiv (Cornell University)
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Taming the Instability: A Robust Second-Order Optimizer for Federated Learning over Non-IID Data
2026 · Zhang, Yuanqiao, He, Tiantian, et al. · arXiv (Cornell University)
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VulReaD: Knowledge-Graph-guided Software Vulnerability Reasoning and Detection
2026 · Mukhtar, Samal, Yao, Yinghua, et al. · arXiv (Cornell University)
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Pix2Fact: When Vision Is Not Enough -- Benchmarking Fine-Grained VQA with Web Verification on High-Resolution Real-World Scenes
2026 · Jiang, Yifan, Zhang, Cong, et al. · arXiv (Cornell University)
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Fast Sharpness-escaping Optimization for Long-tailed Learning
2026 · Luo, Jiaan, Tang, Ziyi, et al. · DR-NTU (Nanyang Technological University)
Works count: 23
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