65 citations
- Alibaba Group (China)CN13 papers
- Alibaba Group (United States)US10 papers
- Nanyang Technological UniversitySG9 papers
- Alibaba DAMO Academy (China)CN6 papers
- Hong Kong Polytechnic UniversityHK4 papers
- Renmin University of ChinaCN4 papers
- National University of SingaporeSG3 papers
- Peking UniversityCN3 papers
- Tsinghua UniversityCN3 papers
- Artificial Intelligence in Medicine (Canada)CA2 papers
- A*STAR Graduate AcademySG2 papers
- Chinese Academy of SciencesCN2 papers
41 papers
Federated Learning Playground
Bryan Shan, Alysa Ziying Tan, Han Yu
We present Federated Learning Playground, an interactive browser-based platform inspired by and extends TensorFlow Playground that teaches core Federated Learning (FL) concepts. Us…
Non-Contrast CT Esophageal Varices Grading through Clinical Prior-Enhanced Multi-Organ Analysis
Xiaoming Zhang, Chunli Li, Jiacheng Hao +9
Esophageal varices (EV) represent a critical complication of portal hypertension, affecting approximately 60% of cirrhosis patients with a significant bleeding risk of ~30%. While…
ESGenius: Benchmarking LLMs on Environmental, Social, and Governance (ESG) and Sustainability Knowledge
Chaoyue He, Xin Zhou, Yi Wu +9
We introduce ESGenius, a comprehensive benchmark for evaluating and enhancing the proficiency of Large Language Models (LLMs) in Environmental, Social, and Governance (ESG) and sus…
FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification
Tian Tian, Chunyan Miao, Hangwei Qian
Contrastive learning has emerged as a competent approach for unsupervised representation learning. However, the design of an optimal augmentation strategy, although crucial for con…
A Survey of Graph Transformers: Architectures, Theories and Applications
Chaohao Yuan, Kangfei Zhao, Ercan Engin Kuruoglu +6
Graph Transformers (GTs) have demonstrated a strong capability in modeling graph structures by addressing the intrinsic limitations of graph neural networks (GNNs), such as over-sm…
Generative Human Video Compression with Multi-granularity Temporal Trajectory Factorization
Shanzhi Yin, Bolin Chen, Shiqi Wang +1
In this paper, we propose a novel Multi-granularity Temporal Trajectory Factorization framework for generative human video compression, which holds great potential for bandwidth-co…