Publications

Adaptive knowledge selection in dialogue systems: Accommodating diverse knowledge types, requirements, and generation models

A2VAD: Attribute-augmented prompt learning for weakly supervised video anomaly detection

A robust denoising diffusion framework for completing missing regions of multiple biomedical signals

So Far Yet So Near: Time Series Data Augmentation with Exploring non-Semantic Boundaries based on Reinforcement Learning

Short-time Variational Mode Decomposition

Short-time variational mode decomposition

Real-Time Anomaly Detection and Completion in Data Streams Based on RRCF and RTHaLRTC Tensor Completion

Predicting nasal diseases based on microbiota relationship network

Parameter-efficient fine-tuning of 3d ddpm for mri image generation using tensor networks

HSBNN: A High-Scalable Bayesian Neural Networks Accelerator Based on Field Programmable Gate Arrays (FPGA)