Search Results for author: Wei Qian

Found 21 papers, 9 papers with code

Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction

no code implementations3 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.

Conformal Prediction Uncertainty Quantification

Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving

1 code implementation19 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.

Autonomous Driving

An attention-based deep learning network for predicting Platinum resistance in ovarian cancer

no code implementations8 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.

Automated Natural Language Explanation of Deep Visual Neurons with Large Models

no code implementations16 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.

A Unified View Between Tensor Hypergraph Neural Networks And Signal Denoising

no code implementations15 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.

Denoising

Exploiting Diverse Feature for Multimodal Sentiment Analysis

no code implementations25 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.

Multimodal Sentiment Analysis

MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection

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.

Monocular 3D Object Detection Object +1

Dual-path TokenLearner for Remote Photoplethysmography-based Physiological Measurement with Facial Videos

1 code implementation15 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.

Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior

no code implementations13 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.

Reinforcement Learning (RL)

Two-stage Contextual Transformer-based Convolutional Neural Network for Airway Extraction from CT Images

1 code implementation15 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.

Computed Tomography (CT) Segmentation

Golfer: Trajectory Prediction with Masked Goal Conditioning MnM Network

no code implementations2 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).

motion prediction Trajectory Prediction

A Geometric Approach to $k$-means

no code implementations13 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.

Free boundary dimers: random walk representation and scaling limit

no code implementations25 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

Structures of Spurious Local Minima in $k$-means

no code implementations16 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.

Clustering

Global Convergence of Least Squares EM for Demixing Two Log-Concave Densities

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.

An Interactive Greedy Approach to Group Sparsity in High Dimensions

1 code implementation10 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

Insurance Premium Prediction via Gradient Tree-Boosted Tweedie Compound Poisson Models

no code implementations26 Aug 2015 Yi Yang, Wei Qian, Hui Zou

The Tweedie GLM is a widely used method for predicting insurance premiums.

Methodology

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