4 citations · 6 across the 17 of their papers we have counts for
18 papers
FleetGuard:Identity-Capped Conformal Risk Allocation for Reliable UAV Edge-Cloud Offloading
Junhao Wei, Haochen Li, Yifu Zhao +7
Compromised UAV reporters can poison latency telemetry and attract offloaded tasks to degraded servers. We present FleetGuard, an identity-capped conformal offloader for local, edg…
Real-Validated UAV Audition Under Rotor Ego-Noise for Low-False-Alarm Human Detection
Junhao Wei, Haochen Li, Dexing Yao +7
Detecting human acoustic cues from UAV-mounted microphones could support acoustic search and rescue, but rotor ego-noise often masks speech, cries, coughs, and other human sounds a…
ARIES-Mission2: A Zero-Shot Vision-Language-Action Framework for Fast Large-Scale Aerial Mission Generation
Junhao Wei, Yanxiao Li, Haochen Li +8
Multimodal Large Language Models (MLLMs) have shown strong semantic understanding capabilities, but their direct use in low-altitude Unmanned Aerial Vehicle (UAV) mission generatio…
HonestAffinity: Leak-Aware Evaluation of Protein and Pocket Priors for Binding Affinity Prediction
Junhao Wei, Baili Lu, Zhenhong Peng +10
Sequence-based deep learning offers a scalable alternative to structure-based scoring for protein-ligand binding affinity prediction. However, progress is hard to interpret when ar…
Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector
Junhao Wei, Yanxiao Li, Bidong Chen +9
We present a unified experiment, analysis, and benchmark study of multivariate time-series (MTS) anomaly detection. Ten family-representative detectors -- spanning statistical, rec…
AeroTSBoost: Temporal-Statistical Boosting for Real-World UAV Telemetry Anomaly Mining
Junhao Wei, Haochen Li, Yanxiao Li +7
Mining anomalies from unmanned aerial vehicle (UAV) state-estimation logs is challenging because failures are sparse, temporally structured, and distributed across heterogeneous PX…
KIO-planner: Attention-Guided Single-Stage Motion Planning with Dual Mapping for UAV Navigation
Dexing Yao, Haochen Li, Junhao Wei +11
Autonomous UAV flight in confined, wall-dense environments requires low-latency and reliable motion planning under strict safety constraints. Traditional optimization-based planner…
Landscape-Aware Bandit Hyper-Heuristics for Online Operator Selection in UAV Inspection Routing
Junhao Wei, Yanxiao Li, Yifu Zhao +8
UAV multi-site inspection often reduces to choosing a high-quality visiting order after target sites have been extracted from a map. This paper develops LA-BHH, a landscape-aware b…
WASHH: An Anchor-Aware Whale-Guided Selection Hyper-Heuristic for Continuous Optimization and SVC Configuration
Yifu Zhao, Xiaofan Zou, Junhao Wei +9
Learning-assisted algorithm design often has to make reliable search decisions under small evaluation budgets, where committing to a single metaheuristic can be unreliable. We prop…
Low-Cost Labels, Reliable Choices: Rollout-Calibrated Hyper-Heuristics for Job Shop Scheduling
Junhao Wei, Yanxiao Li, Yifu Zhao +8
Learning-assisted hyper-heuristics can select among dispatching rules while preserving the feasibility and interpretability of constructive Job Shop Scheduling Problem (JSSP) heuri…
SAGA: A Robust Self-Attention and Goal-Aware Anchor-based Planner for Safe UAV Autonomous Navigation
Junhao Wei, Yanxiao Li, Dexing Yao +9
Agile unmanned aerial vehicle (UAV) navigation in cluttered environments demands a planning architecture that is both computationally efficient and structurally expressive enough t…
CICDWOA: A Collective Cognitive Sharing Whale Optimization Algorithm with Cauchy Inverse Cumulative Distribution for 2D/3D Path Planning and Engineering Design Problems
Junhao Wei, Yanxiao Li, Seyedali Mirjalili +12
The Whale Optimization Algorithm (WOA) has shown strong optimization ability but still suffers from premature convergence and weak search diversity. To address these issues, this p…
GeoSSA: Geometric Sparrow Search Algorithm for UAV Path Planning and Engineering Design Optimization
Junhao Wei, Wenxuan Zhu, Qingyang Xu +11
The Sparrow Search Algorithm (SSA), characterized by its simple structure and ease of implementation, nevertheless suffers from an insufficient balance between exploration and expl…
NAWOA-XGBoost: A Novel Model for Early Prediction of Academic Potential in Computer Science Students
Junhao Wei, Yanzhao Gu, Ran Zhang +9
Whale Optimization Algorithm (WOA) suffers from limited global search ability, slow convergence, and tendency to fall into local optima, restricting its effectiveness in hyperparam…
Reasoning or Not? A Comprehensive Evaluation of Reasoning LLMs for Dialogue Summarization
Keyan Jin, Yapeng Wang, Leonel Santos +4
Dialogue summarization is a challenging task with significant practical value in customer service, meeting analysis, and conversational AI. Although large language models (LLMs) ha…
Free Performance Gain from Mixing Multiple Partially Labeled Samples in Multi-label Image Classification
Chak Fong Chong, Jielong Guo, Xu Yang +2
Multi-label image classification datasets are often partially labeled where many labels are missing, posing a significant challenge to training accurate deep classifiers. However,…
Analysis of the Two-Step Heterogeneous Transfer Learning for Laryngeal Blood Vessel Classification: Issue and Improvement
Xinyi Fang, Xu Yang, Chak Fong Chong +4
Accurate classification of laryngeal vascular as benign or malignant is crucial for early detection of laryngeal cancer. However, organizations with limited access to laryngeal vas…
Category-wise Fine-Tuning: Resisting Incorrect Pseudo-Labels in Multi-Label Image Classification with Partial Labels
Chak Fong Chong, Xinyi Fang, Jielong Guo +4
Large-scale image datasets are often partially labeled, where only a few categories' labels are known for each image. Assigning pseudo-labels to unknown labels to gain additional t…