CORTEXA
← Browse

Gang Wang

9 papers indexed

arxivcs.RO2026-07-16

AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight

Xinhong Zhang, Qiyuan Zhu, Yubo Huang, Haolin Chen, Runqing Wang, Yuhao Mo, et al.

Language-conditioned quadrotor flight requires a policy to ground semantic goals, anticipate the visual consequences of ego-motion, and output control references that remain smooth and dynamically executable under rapidly changing first-person views. Existing aerial vision-langua…

View free PDFSource page
arxivcs.ARcs.AI2026-07-14

Full-Pipeline Inference Optimization for MiMo-V2.5 Series: Pushing Hybrid SWA Efficiency to the Limit

Xiaomi MiMo Team, Anqi Liu, Aoxin Ma, Bo Chen, Bo Yang, Chen Wang, et al.

We present a full-pipeline inference optimization for the MiMo-V2.5 model family, which combines Hybrid Sliding Window Attention (Hybrid SWA), sparse Mixture-of-Experts (MoE), and multimodal encoders. While Hybrid SWA can ideally reduce both attention compute and KVCache storage…

View free PDFSource page
arxivcs.CV2026-07-06

FSDC-DETR: A Frequency-Spatial Domain Collaborative DETR for Small Object Detection

Aiwen Liu, Chengguang Zhu, Gang Wang, Dandan Zhu, Haodong Lin, Yan Wang, et al.

Small object detection (SOD) remains a challenging task in real-world applications. Despite recent advances, existing detectors remain limited by rigid processing that entangle spatial aggregation with implicit frequency aliasing and truncation, leading to inadequate preservation…

View free PDFSource page
arxiveess.SY2026-07-03

Data-driven Kernel-based Predictive Control with Stability and Robustness Guarantees

Wenjie Liu, Yifei Li, Gang Wang, Lihua Xie

In this paper, we provide a theoretical analysis of the closed-loop properties of a data-driven kernel-based predictive control (DDKPC) scheme developed solely from input-output data. The proposed formulation integrates a robust data-driven predictive control framework with a mul…

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

Words Speak Louder Than Code: Investigating Cognitive Heuristics in LLM-Based Code Vulnerability Detection

Asif Shahriar, Hongyu Cai, Hadjer Benkraouda, Gang Wang, Z. Berkay Celik

Researchers and practitioners increasingly apply Large Language Models (LLMs) for automated vulnerability detection. Recent work has shown that LLMs are susceptible to the same cognitive heuristics that bias human judgment. Yet, no work has investigated whether these heuristics a…

View free PDFSource page
arxivcs.AIcs.CLcs.IR2026-06-25

AgentX: Towards Agent-Driven Self-Iteration of Industrial Recommender Systems

Changxin Lao, Fei Pan, Guozhuang Ma, Han Li, Huihuang Lin, Jijun Shi, et al.

Recommendation algorithm iteration is moving from an artisanal, engineer-bound process toward an industrialized research loop, but this transition remains blocked by a structural execution bottleneck: the idea-to-launch cycle still depends on human engineers to generate hypothese…

View free PDFSource page
crossrefMachine Learning: Science and Technology2026-04-27

Deep learning-based mask design method for film thickness uniformity in spherical rotation systems

Gang Wang, Yuhao Li, Ang Li, Li Wang, Yunli Bai

Abstract The uniformity of the film thickness of large-aperture mirror is a critical factor affecting the imaging quality of reflective optical systems. A deep learning-based mask design strategy is proposed to reduce this non-uniformity. By developing a convolutional neural netw…

View free PDFSource page
crossrefRemote Sensing2026-01-19Cited by 1

Daytime Sea Fog Detection in the South China Sea Based on Machine Learning and Physical Mechanism Using Fengyun-4B Meteorological Satellite

Jie Zheng, Gang Wang, Wenping He, Qiang Yu, Zijing Liu, Huijiao Lin, et al.

Sea fog is a major meteorological hazard that severely disrupts maritime transportation and economic activities in the South China Sea. As China’s next-generation geostationary meteorological satellite, Fengyun-4B (FY-4B) supplies continuous observations that are well suited for…

View free PDFSource page
crossrefCancers2024-12-28Cited by 4

Machine Learning and Computed Tomography Radiomics to Predict Disease Progression to Upfront Pembrolizumab Monotherapy in Advanced Non-Small-Cell Lung Cancer: A Pilot Study

Ian Janzen, Cheryl Ho, Barbara Melosky, Qian Ye, Jessica Li, Gang Wang, et al.

Background/Objectives: Pembrolizumab monotherapy is approved in Canada for first-line treatment of advanced NSCLC with PD-L1 ≥ 50% and no EGFR/ALK aberrations. However, approximately 55% of these patients do not respond to pembrolizumab, underscoring the need for the early interv…

View free PDFSource page