2 citations · 3 across the 10 of their papers we have counts for
10 papers
Spiking Layer-Adaptive Magnitude-based Pruning
Junqiao Wang, Zhehang Ye, Yuqi Ouyang
Spiking Neural Networks (SNNs) provide energy-efficient computation but their deployment is constrained by dense connectivity and high spiking operation costs. Existing magnitude-b…
Physics-Informed Deep Recurrent Back-Projection Network for Tunnel Propagation Modeling
Kunyu Wu, Qiushi Zhao, Jingyi Zhou +4
Accurate and efficient modeling of radio wave propagation in railway tunnels is is critical for ensuring reliable communication-based train control (CBTC) systems. Fine-grid parabo…
DynaWeb: Model-Based Reinforcement Learning of Web Agents
Hang Ding, Peidong Liu, Junqiao Wang +7
The development of autonomous web agents, powered by Large Language Models (LLMs) and reinforcement learning (RL), represents a significant step towards general-purpose AI assistan…
Multi-Agent Intelligence for Multidisciplinary Decision-Making in Gastrointestinal Oncology
Rongzhao Zhang, Junqiao Wang, Shuyun Yang +25
Multimodal clinical reasoning in the field of gastrointestinal (GI) oncology necessitates the integrated interpretation of endoscopic imagery, radiological data, and biochemical ma…
Adaptive Detector-Verifier Framework for Zero-Shot Polyp Detection in Open-World Settings
Shengkai Xu, Hsiang Lun Kao, Tianxiang Xu +9
Polyp detectors trained on clean datasets often underperform in real-world endoscopy, where illumination changes, motion blur, and occlusions degrade image quality. Existing approa…
Physics-Informed Video Flare Synthesis and Removal Leveraging Motion Independence between Flare and Scene
Junqiao Wang, Yuanfei Huang, Hua Huang
Lens flare is a degradation phenomenon caused by strong light sources. Existing researches on flare removal have mainly focused on images, while the spatiotemporal characteristics…
Vi-SAFE: A Spatial-Temporal Framework for Efficient Violence Detection in Public Surveillance
Ligang Chang, Shengkai Xu, Liangchang Shen +4
Violence detection in public surveillance is critical for public safety. This study addresses challenges such as small-scale targets, complex environments, and real-time temporal a…
Meta-Learning Reinforcement Learning for Crypto-Return Prediction
Junqiao Wang, Zhaoyang Guan, Guanyu Liu +7
Predicting cryptocurrency returns is notoriously difficult: price movements are driven by a fast-shifting blend of on-chain activity, news flow, and social sentiment, while labeled…
Vision-Based Deep Reinforcement Learning of UAV Autonomous Navigation Using Privileged Information
Junqiao Wang, Zhongliang Yu, Dong Zhou +2
The capability of UAVs for efficient autonomous navigation and obstacle avoidance in complex and unknown environments is critical for applications in agricultural irrigation, disas…
Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey
Junqiao Wang, Zeng Zhang, Yangfan He +18
With the rapid evolution of large language models (LLM), reinforcement learning (RL) has emerged as a pivotal technique for code generation and optimization in various domains. Thi…