no code implementations • 5 Apr 2024 • Toru Shirakawa, Yi Li, Yulun Wu, Sky Qiu, YuXuan Li, Mingduo Zhao, Hiroyasu Iso, Mark van der Laan
We propose Deep Longitudinal Targeted Minimum Loss-based Estimation (Deep LTMLE), a novel approach to estimate the counterfactual mean of outcome under dynamic treatment policies in longitudinal problem settings.
no code implementations • 31 Mar 2024 • Yue Zhao, YuXuan Li, Chenang Liu, Yinan Wang
Machine learning (ML) methods are widely used in industrial applications, which usually require a large amount of training data.
1 code implementation • 18 Mar 2024 • YuXuan Li, Xiang Li, Yimain Dai, Qibin Hou, Li Liu, Yongxiang Liu, Ming-Ming Cheng, Jian Yang
While a considerable amount of research has been dedicated to remote sensing classification, object detection and semantic segmentation, most of these studies have overlooked the valuable prior knowledge embedded within remote sensing scenarios.
no code implementations • 15 Mar 2024 • YuXuan Li, Sarthak Kumar Maharana, Yunhui Guo
Unfortunately, existing methodologies based on trigger sets are still susceptible to functionality-stealing attacks, potentially enabling adversaries to steal the functionality of the source model without a reliable means of verifying ownership.
1 code implementation • 11 Mar 2024 • YuXuan Li, Xiang Li, Weijie Li, Qibin Hou, Li Liu, Ming-Ming Cheng, Jian Yang
To the best of our knowledge, SARDet-100K is the first COCO-level large-scale multi-class SAR object detection dataset ever created.
Ranked #1 on 2D Object Detection on SARDet-100K (using extra training data)
no code implementations • 6 Dec 2023 • YuXuan Li, Luca Weihs
Surprisingly, we find that imitation learning on these exploration trajectories out-performs all other auxiliary losses even despite the exploration trajectories being dissimilar from the downstream tasks.
no code implementations • 5 Dec 2023 • Zhangyue Shi, Tianxin Xie, Chenang Liu, YuXuan Li
The incorporation of advanced sensors and machine learning techniques has enabled modern manufacturing enterprises to perform data-driven in-situ quality monitoring based on the sensor data collected in manufacturing processes.
2 code implementations • 26 Nov 2023 • Weijie Li, Yang Wei, Tianpeng Liu, Yuenan Hou, YuXuan Li, Zhen Liu, Yongxiang Liu, Li Liu
Besides, we employ local masks and multi-scale features to accommodate the various small targets in remote sensing.
no code implementations • 13 Nov 2023 • Danfeng Hong, Bing Zhang, Xuyang Li, YuXuan Li, Chenyu Li, Jing Yao, Naoto Yokoya, Hao Li, Pedram Ghamisi, Xiuping Jia, Antonio Plaza, Paolo Gamba, Jon Atli Benediktsson, Jocelyn Chanussot
The foundation model has recently garnered significant attention due to its potential to revolutionize the field of visual representation learning in a self-supervised manner.
no code implementations • 26 Sep 2023 • Danfeng Hong, Bing Zhang, Hao Li, YuXuan Li, Jing Yao, Chenyu Li, Martin Werner, Jocelyn Chanussot, Alexander Zipf, Xiao Xiang Zhu
Artificial intelligence (AI) approaches nowadays have gained remarkable success in single-modality-dominated remote sensing (RS) applications, especially with an emphasis on individual urban environments (e. g., single cities or regions).
no code implementations • 8 Aug 2023 • Dongling Xu, Xiang Yi, Yalçn Ata, Xinyue Tao, YuXuan Li, Peng Yue
The reliability of a vertical underwater wireless optical communication (UWOC) network is seriously impacted by turbulence-induced fading due to fluctuations in the water temperature and salinity, which vary with depth.
no code implementations • 9 Jun 2023 • YuXuan Li, Chenang Liu
To generate the high-quality minority samples, it is vital to learn the underlying distribution of the abnormal states data.
1 code implementation • 22 May 2023 • Zheng Li, YuXuan Li, Penghai Zhao, RenJie Song, Xiang Li, Jian Yang
Diffusion models have recently achieved astonishing performance in generating high-fidelity photo-realistic images.
1 code implementation • 28 Mar 2023 • YuXuan Li, Shi Zhou
Metastatic prostate cancer is one of the most common cancers in men.
1 code implementation • 17 Mar 2023 • Ren Wang, YuXuan Li, Sijia Liu
Adversarial robustness is a key concept in measuring the ability of neural networks to defend against adversarial attacks during the inference phase.
1 code implementation • ICCV 2023 • YuXuan Li, Qibin Hou, Zhaohui Zheng, Ming-Ming Cheng, Jian Yang, Xiang Li
To the best of our knowledge, this is the first time that large and selective kernel mechanisms have been explored in the field of remote sensing object detection.
Ranked #1 on Semantic Segmentation on UAVid
no code implementations • 8 Feb 2023 • Zhangyue Shi, YuXuan Li, Chenang Liu
In a decentralized manufacturing system, the involved units may fabricate same or similar products and deploy their own machine learning model for online process monitoring.
no code implementations • CVPR 2023 • Jianhua Sun, YuXuan Li, Liang Chai, Cewu Lu
To comprehensively cover the uncertainty of the future, the common practice of multi-modal human trajectory prediction is to first generate a set/distribution of candidate future trajectories and then sample required numbers of trajectories from them as final predictions.
no code implementations • 9 Nov 2022 • Ning li, YuXuan Li, Jichao Jiao
Therefore, this paper proposes a multimodal remote sensing image registration method based on adaptive multi-scale PIIFD(AM-PIIFD).
no code implementations • 2 Oct 2022 • YuXuan Li, James L. McClelland
Transformer networks have seen great success in natural language processing and machine vision, where task objectives such as next word prediction and image classification benefit from nuanced context sensitivity across high-dimensional inputs.
no code implementations • 4 Jun 2022 • YuXuan Li, Chaoyue Zhao, Chenang Liu
Although traditional optimization techniques, such as stochastic and robust optimization approaches, could be leveraged to address the OPF problem, in the face of renewable energy uncertainty, i. e., the dynamic coefficients in the optimization model, their effectiveness in dealing with large-scale problems remains limited.
no code implementations • 29 May 2022 • YuXuan Li, Ying Lin, Chenang Liu
Investigating the causal relationships between characteristics and expressions plays a critical role in healthcare analytics.
1 code implementation • 19 Apr 2022 • Guojia Hou, YuXuan Li, Huan Yang, Kunqian Li, Zhenkuan Pan
Achieving subjective and objective quality assessment of underwater images is of high significance in underwater visual perception and image/video processing.
no code implementations • CVPR 2022 • Jianhua Sun, YuXuan Li, Liang Chai, Hao-Shu Fang, Yong-Lu Li, Cewu Lu
Human trajectory prediction task aims to analyze human future movements given their past status, which is a crucial step for many autonomous systems such as self-driving cars and social robots.
no code implementations • 7 Jul 2021 • Wing Fung Chong, Haoen Cui, YuXuan Li
This paper proposes a two-phase deep reinforcement learning approach, for hedging variable annuity contracts with both GMMB and GMDB riders, which can address model miscalibration in Black-Scholes financial and constant force of mortality actuarial market environments.
1 code implementation • ICCV 2021 • Jianhua Sun, YuXuan Li, Hao-Shu Fang, Cewu Lu
Multimodal prediction results are essential for trajectory prediction task as there is no single correct answer for the future.
no code implementations • 2 Nov 2020 • Nan Lin, YuXuan Li, Yujun Zhu, Ruolin Wang, Xiayu Zhang, Jianmin Ji, Keke Tang, Xiaoping Chen, Xinming Zhang
Our meta policy tries to manipulate the next optimal state and actual action is produced by the inverse dynamics model.