Transfer Faster, Price Smarter: Minimax Dynamic Pricing under Cross-Market Preference Shift

Yi Zhang, Elynn Chen, Yujun Yan

Tackling Size Generalization of Graph Neural Networks on Biological Data from a Spectral Perspective

Gaotang Li, Danai Koutra, Yujun Yan

RL4RLA: Teaching ML to Discover Randomized Linear Algebra Algorithms Through Curriculum Design and Graph-Based Search

Jinglong Xiong, Xiaotian Liu, Ruoxin Wang +4

MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-Text Decoding

Weikang Qiu, Zheng Huang, Haoyu Hu +3

A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks

Yefan Zhou, Yiru Shen, Yujun Yan +2

Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks

Tuo Wang, Jian Kang, Yujun Yan +2

Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks

Gaotang Li, Marlena Duda, Xiang Zhang +2

Cross-Subject Generalization for EEG Decoding: A Survey of Deep Learning Methods

Taida Li, Yujun Yan, Fei Dou +2

GraphScale: A Framework to Enable Machine Learning over Billion-node Graphs

Vipul Gupta, Xin Chen, Ruoyun Huang +3

One-Step Bellman Alignment Enables Provably Efficient Transfer in Online RL

Elynn Chen, Enpei Zhang, Jinhang Chai +1

HalluGuard: Demystifying Data-Driven and Reasoning-Driven Hallucinations in LLMs

Xinyue Zeng, Junhong Lin, Yujun Yan +4

GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models

Tuo Wang, Adithya Kulkarni, Tyler Cody +3

What Causes Performance Degradation in Cross-Subject EEG Classification?

Yihe Wang, Taida Li, Yujun Yan +2

The paper systematically studies why cross‑subject EEG classification performs worse than subject‑dependent classification, identifying inter‑subject variability and shortcut learn…

Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks

Yujun Yan, Milad Hashemi, Kevin Swersky +2

Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs

Jiong Zhu, Yujun Yan, Lingxiao Zhao +3

Exploring Consistency in Graph Representations:from Graph Kernels to Graph Neural Networks

Xuyuan Liu, Yinghao Cai, Qihui Yang +1

Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models

Zhengming Zhang, Yaoqing Yang, Zhewei Yao +3

Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices

Puja Trivedi, Ekdeep Singh Lubana, Yujun Yan +2

Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification

Yihe Wang, Nan Huang, Taida Li +2

Judging with Many Minds: Do More Perspectives Mean Less Prejudice? On Bias Amplifications and Resistance in Multi-Agent Based LLM-as-Judge

Chiyu Ma, Enpei Zhang, Yilun Zhao +7

Neural Execution Engines: Learning to Execute Subroutines

Yujun Yan, Kevin Swersky, Danai Koutra +2

Low-Rank Plus Sparse Matrix Transfer Learning under Growing Representations and Ambient Dimensions

Jinhang Chai, Xuyuan Liu, Elynn Chen +1

Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning

Zheng Huang, Qihui Yang, Dawei Zhou +1

Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs

Xuyuan Liu, Shengyu Chen, Xinshuai Dong +6

Seeing Through the Brain: New Insights from Decoding Visual Stimuli with fMRI

Zheng Huang, Enpei Zhang, Weikang Qiu +7

Learning to Hand Off: Provably Convergent Workflow Learning under Interface Constraints

Jiayu Li, Enpei Zhang, Dawei Zhou +2

Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance

Haiquan Lu, Xiaotian Liu, Yefan Zhou +6

EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs

Haohui Wang, Yuzhen Mao, Yujun Yan +8

Unveiling Multi-regime Patterns in SciML: Distinct Failure Modes and Regime-specific Optimization

Yuxin Wang, Yuanzhe Hu, Xiaokun Zhong +7

Spectral Insights into Data-Oblivious Critical Layers in Large Language Models

Xuyuan Liu, Lei Hsiung, Yaoqing Yang +1