CORTEXA
← Browse

Tao Chen

6 papers indexed

arxivcs.SEcs.AI2026-07-17

When to Use Which? Benchmarking Optimisers for Configurable Systems under Varying Budgets

Chao Jiang, Yulong Ye, Tao Chen, Miqing Li

Software configuration tuning is crucial for optimising system performance, and various optimisers have emerged over the last decade. Yet, the time required during the tuning process may vary across systems. In some systems (e.g., PostgreSQL), it may take a few minutes to measure…

View free PDFSource page
arxivcs.RO2026-06-30

RoboTacDex: A Dexterous Visual-Tactile-Action Dataset for Humanoid Manipulation

Xinyi Wang, Donghan Li, Zi'Ang Chen, Chong Yu, Chen Xin, Peng Ye, et al.

In the field of robot learning, large-scale and diverse demonstration trajectories provide the fundamental basis for enhancing robotic manipulation ability. We introduce RoboTacDex, a large, multi-modal, and diverse dataset of dexterous manipulation behaviors performed with a hum…

View free PDFSource page
arxivcs.AI2026-06-30

Agentic RAG-VLM: Affordance-Aware Retrieval-Augmented Generation with Self-Reflective Planning for Robotic Grasping

Tao Chen, Lizheng Liu, Jiaxu Wang, Ziyue Jiang, Ruiqi Tian, JiGuang Huo, et al.

Generalizable robotic grasping in cluttered environments is essential for deploying manipulators in unstructured human spaces, yet existing VLM-based methods rely on visual similarity for object matching, neglecting physical affordances such as handle graspability and material fr…

View free PDFSource page
arxivcs.ROcs.AI2026-06-29

Trust Your Instincts: Confidence-Driven Test-Time RL for Vision-Language-Action Models

Siyao Chen, Jiakang Yuan, Jiaxin Wang, Tao Chen

Reinforcement learning (RL) has become indispensable for pushing Vision-Language-Action Models (VLAs) beyond static imitation learning. However, existing RL methods typically require external environmental feedback, relying on predefined success signals to guide policy updates. I…

View free PDFSource page
crossrefJournal of Theoretical and Applied Electronic Commerce Research2023-12-04Cited by 109

A Brief Survey of Machine Learning and Deep Learning Techniques for E-Commerce Research

Xue Zhang, Fusen Guo, Tao Chen, Lei Pan, Gleb Beliakov, Jianzhang Wu

The rapid growth of e-commerce has significantly increased the demand for advanced techniques to address specific tasks in the e-commerce field. In this paper, we present a brief survey of machine learning and deep learning techniques in the context of e-commerce, focusing on the…

View free PDFSource page
crossrefMathematics2023-11-26Cited by 3

A Deep Learning Neural Network Method Using Linear Eigenvalue Statistics for Schizophrenic EEG Data Classification

Haichun Liu, Lanzhen Li, Yumeng Ye, Changchun Pan, Genke Yang, Tao Chen, et al.

Electroencephalography (EEG) signals can be used as a neuroimaging indicator to analyze brain-related diseases and mental states, such as schizophrenia, which is a common and serious mental disorder. However, the main limiting factor of using EEG data to support clinical schizoph…

View free PDFSource page