no code implementations • 17 Sep 2024 • Yichen Zhang, Zihan Wang, Jiali Han, Peilin Li, Jiaxun Zhang, Jianqiang Wang, Lei He, Keqiang Li
3D Gaussian Splatting (3DGS) integrates the strengths of primitive-based representations and volumetric rendering techniques, enabling real-time, high-quality rendering.
no code implementations • 30 Aug 2024 • Youzhu Jin, Yichen Zhang
Computed Tomography (CT) is a non-invasive imaging technique used to capture the internal mechanisms of a patient's condition and is widely utilized.
no code implementations • 19 Jun 2024 • Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Xianjing Han, Yifang Yin, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann
Satellite-based street-view information extraction by cross-view matching refers to a task that extracts the location and orientation information of a given street-view image query by using one or multiple geo-referenced satellite images.
no code implementations • 28 Dec 2023 • Xin Wen, Will Wei Sun, Yichen Zhang
Recent technological advances have led to contemporary applications that demand real-time processing and analysis of sequentially arriving tensor data.
no code implementations • 4 Oct 2023 • Weidong Liu, Jiyuan Tu, Yichen Zhang, Xi Chen
In this paper, we develop an online robust policy evaluation procedure, and establish the limiting distribution of our estimator, based on its Bahadur representation.
no code implementations • 19 Aug 2023 • Yichen Zhang, Yifang Yin, Ying Zhang, Zhenguang Liu, Zheng Wang, Roger Zimmermann
Early detection of dysplasia of the cervix is critical for cervical cancer treatment.
no code implementations • 7 Jul 2023 • Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Yifang Yin, Andrei Georgescu, An Tran, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann
Street-view imagery provides us with novel experiences to explore different places remotely.
Ranked #3 on Image-Based Localization on cvact
no code implementations • 28 May 2023 • Kejie Tang, Weidong Liu, Yichen Zhang, Xi Chen
Stochastic gradient descent with momentum (SGDM) has been widely used in many machine learning and statistical applications.
1 code implementation • 18 May 2023 • Yichen Zhang, Jiehong Lin, Ke Chen, Zelin Xu, YaoWei Wang, Kui Jia
Domain gap between synthetic and real data in visual regression (e. g. 6D pose estimation) is bridged in this paper via global feature alignment and local refinement on the coarse classification of discretized anchor classes in target space, which imposes a piece-wise target manifold regularization into domain-invariant representation learning.
no code implementations • 30 Dec 2022 • Xi Chen, Zehua Lai, He Li, Yichen Zhang
With the fast development of big data, it has been easier than before to learn the optimal decision rule by updating the decision rule recursively and making online decisions.
no code implementations • 21 Dec 2022 • Qiyu Han, Will Wei Sun, Yichen Zhang
To fill in these gaps, in this work we consider a matrix contextual bandit framework where the true model parameter is a low-rank matrix, and propose a fully online procedure to simultaneously make sequential decision-making and conduct statistical inference.
no code implementations • 22 Oct 2022 • Henry Lam, Kaizheng Wang, Yuhang Wu, Yichen Zhang
We study the problem of multi-task non-smooth optimization that arises ubiquitously in statistical learning, decision-making and risk management.
no code implementations • 15 Oct 2022 • Xi Chen, Wenbo Jing, Weidong Liu, Yichen Zhang
The development of modern technology has enabled data collection of unprecedented size, which poses new challenges to many statistical estimation and inference problems.
no code implementations • 22 Aug 2022 • Ruonan Li, Yichen Zhang, Yutao Tang, Shurong Li
This paper addresses the leader-following consensus problem for discrete-time positive multi-agent systems over time-varying graphs.
1 code implementation • 7 May 2022 • Zelin Xu, Yichen Zhang, Ke Chen, Kui Jia
Inspired by the success of point-pair features, the goal of this paper is to recover the 6D pose of an object instance segmented from RGB-D images by locally matching pairs of oriented points between the model and camera space.
no code implementations • 2 Apr 2022 • Yichen Zhang, Yifang Yin, Ying Zhang, Roger Zimmermann
Contrastive self-supervised learning has attracted significant research attention recently.
1 code implementation • 2 Mar 2022 • Hantao Cui, Yichen Zhang
The environment leverages the modeling and simulation capability of ANDES and the reinforcement learning (RL) environment OpenAI Gym to enable the prototyping and demonstration of RL algorithms for power systems.
no code implementations • ACL 2021 • Meng Zhou, Zechen Li, Bowen Tan, Guangtao Zeng, Wenmian Yang, Xuehai He, Zeqian Ju, Subrato Chakravorty, Shu Chen, Xingyi Yang, Yichen Zhang, Qingyang Wu, Zhou Yu, Kun Xu, Eric Xing, Pengtao Xie
Training complex dialog generation models on small datasets bears high risk of overfitting.
no code implementations • ACL 2021 • Xuehai He, Zhuo Cai, Wenlan Wei, Yichen Zhang, Luntian Mou, Eric Xing, Pengtao Xie
In this paper, we aim to develop a pathological visual question answering framework to analyze pathology images and answer medical questions related to these images.
no code implementations • 30 Apr 2021 • Yichen Zhang, Zeyang Song, Wenbo Li
Data augmentation has always been an effective way to overcome overfitting issue when the dataset is small.
no code implementations • 26 Mar 2021 • Zhe Xu, Yichen Zhang
In this paper, we present a provably correct controller synthesis approach for switched stochastic control systems with metric temporal logic (MTL) specifications with provable probabilistic guarantees.
no code implementations • 18 Feb 2021 • Yichen Zhang, Hantao Cui, Jianzhe Liu, Feng Qiu, Tianqi Hong, Rui Yao, Fangxing Li
Frequency-constrained unit commitment (FCUC) is proposed to address this challenge.
no code implementations • 5 Feb 2021 • Xi Chen, Zehua Lai, He Li, Yichen Zhang
We first present the asymptotic distribution for the Polyak-Ruppert-averaging type Kiefer-Wolfowitz (AKW) estimators, whose asymptotic covariance matrices depend on the distribution of search directions and the function-value query complexity.
no code implementations • 26 Dec 2020 • Wenjie Li, Zhanyu Wang, Yichen Zhang, Guang Cheng
In this work, we investigate the idea of variance reduction by studying its properties with general adaptive mirror descent algorithms in nonsmooth nonconvex finite-sum optimization problems.
no code implementations • 29 Nov 2020 • Yichen Zhang, Feng Qiu, Tianqi Hong, Zhaoyu Wang, Fangxing Li
Self-healing capability is one of the most critical factors for a resilient distribution system, which requires intelligent agents to automatically perform restorative actions online, including network reconfiguration and reactive power dispatch.
no code implementations • 6 Oct 2020 • Xuehai He, Zhuo Cai, Wenlan Wei, Yichen Zhang, Luntian Mou, Eric Xing, Pengtao Xie
To deal with the issue that a publicly available pathology VQA dataset is lacking, we create PathVQA dataset.
no code implementations • 27 Jul 2020 • Yichen Zhang, Jianzhe Liu, Feng Qiu, Tianqi Hong, Rui Yao
Traditional methods for solvability region analysis can only have inner approximations with inconclusive conservatism.
no code implementations • medRxiv 2020 • Xuehai He, Xingyi Yang, Shanghang Zhang, Jinyu Zhao, Yichen Zhang, Eric Xing, Pengtao Xie
Besides, these works require a large number of CTs to train accurate diagnosis models, which are difficult to obtain.
17 code implementations • 30 Mar 2020 • Xingyi Yang, Xuehai He, Jinyu Zhao, Yichen Zhang, Shanghang Zhang, Pengtao Xie
Using this dataset, we develop diagnosis methods based on multi-task learning and self-supervised learning, that achieve an F1 of 0. 90, an AUC of 0. 98, and an accuracy of 0. 89.
5 code implementations • 7 Mar 2020 • Xuehai He, Yichen Zhang, Luntian Mou, Eric Xing, Pengtao Xie
To achieve this goal, the first step is to create a visual question answering (VQA) dataset where the AI agent is presented with a pathology image together with a question and is asked to give the correct answer.
no code implementations • 5 Mar 2020 • Yichen Zhang, Chen Chen, Tianqi Hong, Bai Cui, Bo Chen, Feng Qiu
The capability to switch between grid-connected and islanded modes has promoted adoption of microgrid technology for powering remote locations.
2 code implementations • CVPR 2020 • Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao
The principle behind our pruning is that low-rank feature maps contain less information, and thus pruned results can be easily reproduced.
no code implementations • 16 Jan 2020 • Yichen Zhang, Chen Chen, Guodong Liu, Tianqi Hong, Feng Qiu
In this paper, we introduce a deep learning aided constraint encoding method to tackle the frequency-constraint microgrid scheduling problem.
1 code implementation • 28 Sep 2019 • Jiao Xie, Shaohui Lin, Yichen Zhang, Linkai Luo
The large memory and computation consumption in convolutional neural networks (CNNs) has been one of the main barriers for deploying them on resource-limited systems.
no code implementations • 30 Apr 2019 • Yichen Zhang, Shanshan Jia, Yajing Zheng, Zhaofei Yu, Yonghong Tian, Siwei Ma, Tiejun Huang, Jian. K. Liu
The SID is an end-to-end decoder with one end as neural spikes and the other end as images, which can be trained directly such that visual scenes are reconstructed from spikes in a highly accurate fashion.
no code implementations • 28 Nov 2018 • Xi Chen, Weidong Liu, Yichen Zhang
The key component in our method is the proposal of a computationally efficient estimator of $\Sigma^{-1} w$, where $\Sigma$ is the population Hessian matrix and $w$ is any given vector.
no code implementations • 6 Nov 2018 • Qi Yan, Yajing Zheng, Shanshan Jia, Yichen Zhang, Zhaofei Yu, Feng Chen, Yonghong Tian, Tiejun Huang, Jian. K. Liu
When a deep CNN with many layers is used for the visual system, it is not easy to compare the structure components of CNNs with possible neuroscience underpinnings due to highly complex circuits from the retina to higher visual cortex.
no code implementations • 18 Oct 2018 • Xi Chen, Weidong Liu, Yichen Zhang
This paper proposes a computationally efficient method, which only requires an initial QR estimator on a small batch of data and then successively refines the estimator via multiple rounds of aggregations.
no code implementations • 2 Nov 2016 • Alice Zurlo, Lucas A. Cieza, Jonathan P. Williams, Hector Canovas, Sebastian Perez, Antonio Hales, Koraljka Mužić, David A. Principe, Dary Ruíz-Rodríguez, John Tobin, Yichen Zhang, Zhaohuan Zhu, Simon Casassus, Jose L. Prieto
We report the detection of a marginally resolved circumstellar disc in the ALMA continuum with an integrated flux of $106 \pm 2$ mJy, characteristic radius of $\sim$ 30 au, inclination of $14. 0^{+7. 8}_{-14. 5}$ deg, and is oriented nearly face-on with respect to the plane of the sky.
Solar and Stellar Astrophysics Astrophysics of Galaxies Instrumentation and Methods for Astrophysics
no code implementations • 27 Oct 2016 • Xi Chen, Jason D. Lee, Xin T. Tong, Yichen Zhang
Second, for high-dimensional linear regression, using a variant of the SGD algorithm, we construct a debiased estimator of each regression coefficient that is asymptotically normal.