Zobrazeno 1 - 10
of 17 255
pro vyhledávání: '"Zheng YAN"'
Autor:
Zheng, Yan, Liang, Zhenxiao, Cong, Xiaoyan, guo, Lanqing, Wang, Yuehao, Wang, Peihao, Wang, Zhangyang
We explore the oscillatory behavior observed in inversion methods applied to large-scale text-to-image diffusion models, with a focus on the "Flux" model. By employing a fixed-point-inspired iterative approach to invert real-world images, we observe
Externí odkaz:
http://arxiv.org/abs/2411.11135
Autor:
Zheng, Yan, Wu, Lemeng
In this paper, we introduce Geometry-Inverse-Meet-Pixel-Insert, short for GEO, an exceptionally versatile image editing technique designed to cater to customized user requirements at both local and global scales. Our approach seamlessly integrates te
Externí odkaz:
http://arxiv.org/abs/2409.11734
Autor:
Yeh, Chin-Chia Michael, Der, Audrey, Saini, Uday Singh, Lai, Vivian, Zheng, Yan, Wang, Junpeng, Dai, Xin, Zhuang, Zhongfang, Fan, Yujie, Chen, Huiyuan, Aboagye, Prince Osei, Wang, Liang, Zhang, Wei, Keogh, Eamonn
The Matrix Profile (MP), a versatile tool for time series data mining, has been shown effective in time series anomaly detection (TSAD). This paper delves into the problem of anomaly detection in multidimensional time series, a common occurrence in r
Externí odkaz:
http://arxiv.org/abs/2409.09298
Autor:
Wang, Liang, Jain, Shubham, Dou, Yingtong, Wang, Junpeng, Yeh, Chin-Chia Michael, Fan, Yujie, Aboagye, Prince, Zheng, Yan, Dai, Xin, Zhuang, Zhongfang, Saini, Uday Singh, Zhang, Wei
Numerous algorithms have been developed for online product rating prediction, but the specific influence of user and product information in determining the final prediction score remains largely unexplored. Existing research often relies on narrowly
Externí odkaz:
http://arxiv.org/abs/2409.04649
Autor:
Der, Audrey, Yeh, Chin-Chia Michael, Dai, Xin, Chen, Huiyuan, Zheng, Yan, Fan, Yujie, Zhuang, Zhongfang, Lai, Vivian, Wang, Junpeng, Wang, Liang, Zhang, Wei, Keogh, Eamonn
Self-supervised Pretrained Models (PTMs) have demonstrated remarkable performance in computer vision and natural language processing tasks. These successes have prompted researchers to design PTMs for time series data. In our experiments, most self-s
Externí odkaz:
http://arxiv.org/abs/2408.07869
Autor:
Xiao, Yihang, Liu, Jinyi, Zheng, Yan, Xie, Xiaohan, Hao, Jianye, Li, Mingzhi, Wang, Ruitao, Ni, Fei, Li, Yuxiao, Luo, Jintian, Jiao, Shaoqing, Peng, Jiajie
Single-cell RNA sequencing (scRNA-seq) data analysis is crucial for biological research, as it enables the precise characterization of cellular heterogeneity. However, manual manipulation of various tools to achieve desired outcomes can be labor-inte
Externí odkaz:
http://arxiv.org/abs/2407.09811
Autor:
Zhang, Min, Fu, Xian, Hao, Jianye, Han, Peilong, Zhang, Hao, Shi, Lei, Tang, Hongyao, Zheng, Yan
In recent years, Multi-modal Foundation Models (MFMs) and Embodied Artificial Intelligence (EAI) have been advancing side by side at an unprecedented pace. The integration of the two has garnered significant attention from the AI research community.
Externí odkaz:
http://arxiv.org/abs/2407.05047
Leveraging the powerful generative capability of diffusion models (DMs) to build decision-making agents has achieved extensive success. However, there is still a demand for an easy-to-use and modularized open-source library that offers customized and
Externí odkaz:
http://arxiv.org/abs/2406.09509
The majority of existing speech bandwidth extension (BWE) methods operate under the constraint of fixed source and target sampling rates, which limits their flexibility in practical applications. In this paper, we propose a multi-stage speech BWE mod
Externí odkaz:
http://arxiv.org/abs/2406.02250
Autor:
Chen, Huiyuan, Xu, Zhe, Yeh, Chin-Chia Michael, Lai, Vivian, Zheng, Yan, Xu, Minghua, Tong, Hanghang
Graph Transformers have garnered significant attention for learning graph-structured data, thanks to their superb ability to capture long-range dependencies among nodes. However, the quadratic space and time complexity hinders the scalability of Grap
Externí odkaz:
http://arxiv.org/abs/2405.04028