no code implementations • 7 Mar 2024 • Chenlu Zhan, Yu Lin, Gaoang Wang, Hongwei Wang, Jian Wu
Medical generative models, acknowledged for their high-quality sample generation ability, have accelerated the fast growth of medical applications.
1 code implementation • 26 Feb 2024 • Yu Lin, Zhiheng Li, Yubo Cui, Zheng Fang
Most existing methods perform tracking between two consecutive frames while ignoring the motion patterns of the target over a series of frames, which would cause performance degradation in the scenes with sparse points.
no code implementations • 18 Dec 2023 • Chenlu Zhan, Yufei Zhang, Yu Lin, Gaoang Wang, Hongwei Wang
Medical vision-language pre-training (Med-VLP) models have recently accelerated the fast-growing medical diagnostics application.
no code implementations • 25 Nov 2023 • Bingbing Song, Derui Wang, Tianwei Zhang, Renyang Liu, Yu Lin, Wei Zhou
Hence, it provides a way to directly generate stego images from secret images without a cover image.
no code implementations • 23 Nov 2023 • Yiming Wang, Yu Lin, Xiaodong Zeng, Guannan Zhang
To our knowledge, our proposed framework is the first efficient and privacy-preserving LLM solution in the literature.
no code implementations • 20 Nov 2023 • Yiming Wang, Yu Lin, Xiaodong Zeng, Guannan Zhang
Further investigation into weight update matrices of MultiLoRA exhibits reduced dependency on top singular vectors and more democratic unitary transform contributions.
no code implementations • 5 Sep 2023 • Jiaqi Qiu, Yu Lin, Inez Zwetsloot
This flexibility enables NN models to work efficiently on data with time-varying variability, a common inherent aspect of data in practice.
1 code implementation • 23 Aug 2023 • Zhiheng Li, Yu Lin, Yubo Cui, Shuo Li, Zheng Fang
3D single object tracking with LiDAR points is an important task in the computer vision field.
1 code implementation • 11 May 2023 • Zhiheng Li, Yubo Cui, Yu Lin, Zheng Fang
To overcome the limitations of geometry matching, we propose a Multi-modal Multi-level Fusion Tracker (MMF-Track), which exploits the image texture and geometry characteristic of point clouds to track 3D target.
no code implementations • 28 Mar 2023 • WeiPing Wu, Yu Lin, Jianjun Gao, Ke Zhou
This paper addresses the importance of incorporating various risk measures in portfolio management and proposes a dynamic hybrid portfolio optimization model that combines the spectral risk measure and the Value-at-Risk in the mean-variance formulation.
1 code implementation • 21 Oct 2022 • Hansheng Xue, Vaibhav Rajan, Yu Lin
Understanding genetic variation, e. g., through mutations, in organisms is crucial to unravel their effects on the environment and human health.
1 code implementation • 18 Oct 2022 • Yibo Hu, Yu Lin, Erick Skorupa Parolin, Latifur Khan, Kevin Hamlen
Recent works in cyber deception study how to deter malicious intrusion by generating multiple fake versions of a critical document to impose costs on adversaries who need to identify the correct information.
no code implementations • 19 Aug 2022 • Ghodai Abdelrahman, Sherif Abdelfattah, Qing Wang, Yu Lin
This is known as the \emph{Knowledge Tracing} problem in the literature.
no code implementations • Findings (NAACL) 2022 • Yu Lin, Zhecheng An, Peihao Wu, Zejun Ma
To tackle this issue, we propose an auxiliary gloss regularizer module to BERT pre-training (GR-BERT), to enhance word semantic similarity.
1 code implementation • 22 Dec 2021 • Hansheng Xue, Vijini Mallawaarachchi, Yujia Zhang, Vaibhav Rajan, Yu Lin
We solve the binning problem by developing new algorithms for (i) graph representation learning that preserves both homophily relations and heterophily constraints (ii) constraint-based graph clustering method that addresses the problems of skewed cluster size distribution.
no code implementations • EMNLP 2020 • Yang Gao, Yi-Fan Li, Yu Lin, Charu Aggarwal, Latifur Khan
For many real-world classification problems, e. g., sentiment classification, most existing machine learning methods are biased towards the majority class when the Imbalance Ratio (IR) is high.
1 code implementation • 12 Feb 2021 • Hansheng Xue, Luwei Yang, Vaibhav Rajan, Wen Jiang, Yi Wei, Yu Lin
A large number of network embedding methods exist to learn vectorial node representations from general graphs with both homogeneous and heterogeneous node and edge types, including some that can specifically model the distinct properties of bipartite networks.
no code implementations • 11 Nov 2020 • Yu Lin, Lishuai Li, Pan Ren, Yanjun Wang, W. Y. Szeto
In this study, we propose a new flight delay model, Multi-layer Air Traffic Network Delay (MATND) model, to capture the impact of en-route congestion on flight delays over an air traffic network.
1 code implementation • 1 Apr 2020 • Hansheng Xue, Luwei Yang, Wen Jiang, Yi Wei, Yi Hu, Yu Lin
It has achieved great success on many tasks of network analysis such as link prediction and node classification.
no code implementations • 25 Mar 2020 • Yang Gao, Yi-Fan Li, Yu Lin, Hang Gao, Latifur Khan
Recent advances in research have demonstrated the effectiveness of knowledge graphs (KG) in providing valuable external knowledge to improve recommendation systems (RS).
no code implementations • 25 Sep 2019 • Yu Lin, Yigong Wang, YiFan Li, Zhuoyi Wang, Yang Gao, Latifur Khan
To tackle this problem, we propose a GuideGAN based on attention mechanism.
Generative Adversarial Network Image-to-Image Translation +1