no code implementations • 3 Jan 2024 • Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai
To tackle the aforementioned challenges, in this paper, we design a novel uncertainty modeling framework for self-explaining networks, which not only demonstrates strong distribution-free uncertainty modeling performance for the generated explanations in the interpretation layer but also excels in producing efficient and effective prediction sets for the final predictions based on the informative high-level basis explanations.
1 code implementation • 19 Dec 2023 • Junkai Xu, Liang Peng, Haoran Cheng, Linxuan Xia, Qi Zhou, Dan Deng, Wei Qian, Wenxiao Wang, Deng Cai
To resolve this problem, we propose to regulate intermediate dense 3D features with the help of volume rendering.
no code implementations • 8 Nov 2023 • Haoming Zhuang, Beibei Li, Jingtong Ma, Patrice Monkam, Shouliang Qi, Wei Qian, Dianning He
Multimodal data from PET/CT images of the regions of interest (ROI) were used to predict platinum resistance in patients.
no code implementations • 16 Oct 2023 • Chenxu Zhao, Wei Qian, Yucheng Shi, Mengdi Huai, Ninghao Liu
Deep neural networks have exhibited remarkable performance across a wide range of real-world tasks.
no code implementations • 15 Sep 2023 • Fuli Wang, Karelia Pena-Pena, Wei Qian, Gonzalo R. Arce
Hypergraph Neural networks (HyperGNNs) and hypergraph signal denoising (HyperGSD) are two fundamental topics in higher-order network modeling.
no code implementations • 25 Aug 2023 • Jia Li, Wei Qian, Kun Li, Qi Li, Dan Guo, Meng Wang
Specifically, we achieve the results of 0. 8492 and 0. 8439 for MuSe-Personalisation in terms of arousal and valence CCC.
1 code implementation • ICCV 2023 • Junkai Xu, Liang Peng, Haoran Cheng, Hao Li, Wei Qian, Ke Li, Wenxiao Wang, Deng Cai
To the best of our knowledge, this work is the first to introduce volume rendering for M3D, and demonstrates the potential of implicit reconstruction for image-based 3D perception.
1 code implementation • 15 Aug 2023 • Wei Qian, Dan Guo, Kun Li, Xilan Tian, Meng Wang
Specifically, the proposed Dual-TL uses a Spatial TokenLearner (S-TL) to explore associations in different facial ROIs, which promises the rPPG prediction far away from noisy ROI disturbances.
1 code implementation • 25 May 2023 • Liang Peng, Junkai Xu, Haoran Cheng, Zheng Yang, Xiaopei Wu, Wei Qian, Wenxiao Wang, Boxi Wu, Deng Cai
Monocular 3D detection is a challenging task due to the lack of accurate 3D information.
no code implementations • 13 Jan 2023 • Kaiwen Wan, Lei LI, Dengqiang Jia, Shangqi Gao, Wei Qian, Yingzhi Wu, Huandong Lin, Xiongzheng Mu, Xin Gao, Sijia Wang, Fuping Wu, Xiahai Zhuang
This is particularly evident for the learning-based multi-target landmark detection, where algorithms could be misleading to learn primarily the variation of background due to the varying FOV, failing the detection of targets.
1 code implementation • 15 Dec 2022 • Yanan Wu, Shuiqing Zhao, Shouliang Qi, Jie Feng, Haowen Pang, Runsheng Chang, Long Bai, Mengqi Li, Shuyue Xia, Wei Qian, Hongliang Ren
In the first stage, the total airway mask and CT images are provided to the subnetwork, and the intrapulmonary airway mask and corresponding CT scans to the subnetwork in the second stage.
1 code implementation • 7 Aug 2022 • Honghui Yang, Zili Liu, Xiaopei Wu, Wenxiao Wang, Wei Qian, Xiaofei He, Deng Cai
The dynamic farthest voxel sampling is then applied to evenly sample the points.
no code implementations • 2 Jul 2022 • Xiaocheng Tang, Soheil Sadeghi Eshkevari, Haoyu Chen, Weidan Wu, Wei Qian, Xiaoming Wang
Transformers have enabled breakthroughs in NLP and computer vision, and have recently began to show promising performance in trajectory prediction for Autonomous Vehicle (AV).
no code implementations • 13 Jan 2022 • Jiazhen Hong, Wei Qian, Yudong Chen, Yuqian Zhang
This framework consists of alternating between the following two steps iteratively: (i) detect mis-specified clusters in a local solution and (ii) improve the current local solution by non-local operations.
1 code implementation • 29 Nov 2021 • Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Wei Qian, Ali Anwar, Ali Jannesari
Federated learning~(FL) facilitates the training and deploying AI models on edge devices.
no code implementations • 25 Feb 2021 • Nathanael Berestycki, Marcin Lis, Wei Qian
The Kasteleyn matrix of this dimer model describes a walk with transition weights that are negative along the free boundary.
Probability Mathematical Physics Mathematical Physics
no code implementations • 16 Feb 2020 • Wei Qian, Yuqian Zhang, Yudong Chen
Our theoretical results corroborate existing empirical observations and provide justification for several improved algorithms for $k$-means clustering.
1 code implementation • NeurIPS 2019 • Wei Qian, Yuqian Zhang, Yudong Chen
This work studies the location estimation problem for a mixture of two rotation invariant log-concave densities.
no code implementations • 12 Oct 2018 • Jeongyeol Kwon, Wei Qian, Constantine Caramanis, Yudong Chen, Damek Davis
Recent results established that EM enjoys global convergence for Gaussian Mixture Models.
1 code implementation • 10 Jul 2017 • Wei Qian, Wending Li, Yasuhiro Sogawa, Ryohei Fujimaki, Xitong Yang, Ji Liu
Sparsity learning with known grouping structure has received considerable attention due to wide modern applications in high-dimensional data analysis.
Human Activity Recognition Vocal Bursts Intensity Prediction
no code implementations • 26 Aug 2015 • Yi Yang, Wei Qian, Hui Zou
The Tweedie GLM is a widely used method for predicting insurance premiums.
Methodology