papers

Publications (12)

cs.CV2025

YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection

Xu Lin, Jinlong Peng, Zhenye Gan +2

Existing Real-Time Object Detection (RTOD) methods commonly adopt YOLO-like architectures for their favorable trade-off between accuracy and speed. However, these models rely on st…

cs.LG2026

GatedLinear: Adaptive Routing of Complementary Linear Bases for Time Series Forecasting

Qitai Tan, Ruiwen Gu, Yilin Su +3

Time series forecasting requires models to capture diverse, often mutually exclusive, temporal dynamics, from smooth trend continuation to nonstationary drift and strict phase-alig…

cs.CV2026

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family

Xu Lin, WenJie Nie, Jinlong Peng +4

Generic parameter-efficient fine-tuning (PEFT) methods transferred from language models can fail silently on real-time detectors, whose heterogeneous operators and detection-specif…

cs.IT2023

Integrated Sensing and Communication based Outdoor Multi-Target Detection, Tracking and Localization in Practical 5G Networks

Ruiqi Liu, Mengnan Jian, Dawei Chen +4

The 6th generation (6G) wireless networks will likely to support a variety of capabilities beyond communication, such as sensing and localization, through the use of communication…

cs.LG2025

Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction

Kanxue Li, Yibing Zhan, Hua Jin +3

Intraoperative hypotension (IOH) poses significant surgical risks, but accurate prediction remains challenging due to patient-specific variability. While test-time adaptation (TTA)…

cs.CV2025

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Chaoyou Fu, Peixian Chen, Yunhang Shen +11

Multimodal Large Language Model (MLLM) relies on the powerful LLM to perform multimodal tasks, showing amazing emergent abilities in recent studies, such as writing poems based on…