14 citations · 90 across the 33 of their papers we have counts for
33 papers
TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival, and Recurrent Events with Concurrent Latent Structure
Zhiyue Zhang, Yao Zhao, Yanxun Xu
In applications such as biomedical studies, epidemiology, and social sciences, recurrent events often co-occur with longitudinal measurements and a terminal event, such as death. T…
BlindDiff: Empowering Degradation Modelling in Diffusion Models for Blind Image Super-Resolution
Feng Li, Yixuan Wu, Zichao Liang +4
Diffusion models (DM) have achieved remarkable promise in image super-resolution (SR). However, most of them are tailored to solving non-blind inverse problems with fixed known deg…
Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Learning
Chuangchuang Tan, Yao Zhao, Shikui Wei +3
This research addresses the challenge of developing a universal deepfake detector that can effectively identify unseen deepfake images despite limited training data. Existing frequ…
SiGNN: A Spike-induced Graph Neural Network for Dynamic Graph Representation Learning
Dong Chen, Shuai Zheng, Muhao Xu +2
In the domain of dynamic graph representation learning (DGRL), the efficient and comprehensive capture of temporal evolution within real-world networks is crucial. Spiking Neural N…
One for all: A novel Dual-space Co-training baseline for Large-scale Multi-View Clustering
Zisen Kong, Zhiqiang Fu, Dongxia Chang +2
In this paper, we propose a novel multi-view clustering model, named Dual-space Co-training Large-scale Multi-view Clustering (DSCMC). The main objective of our approach is to enha…
RIO: A Benchmark for Reasoning Intention-Oriented Objects in Open Environments
Mengxue Qu, Yu Wu, Wu Liu +4
Intention-oriented object detection aims to detect desired objects based on specific intentions or requirements. For instance, when we desire to "lie down and rest", we instinctive…