Hanchen Su Contributes to Advancing LLM-Friendly Knowledge Representation for Customer Support Automation

A new framework restructures enterprise workflows into LLM-friendly knowledge representations to improve customer support automation. By ...
IEEE

Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer

Since labeled samples are typically scarce in real-world scenarios, self-supervised representation learning in time series is critical. Existing approaches mainly employ the contrastive learning ...
The Print

Citing zero applicants, Centre encourages scholars from 4 Northeast states to opt for IKS internship

The six-month initiative supports selected projects with interns receiving a monthly fellowship of Rs 10,000. These six ...
IEEE

Learning Discriminative Representations From Cross-Scale Features for Camouflaged Object Detection

Abstract: The key that hinders the performance improvement of current camouflaged object detection (COD) models is the lack of discriminability of features at fine granularity. We solve this problem ...