17 papers
ReconSpan: Reconstruction-Guided Adaptive Latent Tokenization
Lixing Li
Adaptive latent tokenization maps a fine-grained input to a shorter sequence of continuous representations associated with input-dependent spans. We introduce ReconSpan, which divi…
Generating 2-Gray codes for grand Motzkin paths and grand Dyck paths with air pockets in constant amortized time
Lei Dong, Bowie Liu, Dennis Wong +3
A grand Motzkin path with air pockets is a non-empty lattice path in the first and fourth quadrant of , starting at the origin , ending on the -axis, and co…
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…