Search Results for author: YingYing Li

Found 22 papers, 6 papers with code

Navigating Complexity: Constrained Portfolio Analysis in High Dimensions with Tracking Error and Weight Constraints

no code implementations27 Feb 2024 Mehmet Caner, Qingliang Fan, YingYing Li

This paper analyzes the statistical properties of constrained portfolio formation in a high dimensional portfolio with a large number of assets.

Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos

no code implementations24 Oct 2023 Yaoyao Liu, YingYing Li, Bernt Schiele, Qianru Sun

In experiments, we show that our method 1) is surprisingly effective even when there is no class overlap between placebos and original old class data, 2) does not require any additional supervision or memory budget, and 3) significantly outperforms a number of top-performing CIL methods, in particular when using lower memory budgets for old class exemplars, e. g., five exemplars per class.

Class Incremental Learning Incremental Learning +1

Learning the Uncertainty Sets for Control Dynamics via Set Membership: A Non-Asymptotic Analysis

no code implementations26 Sep 2023 YingYing Li, Jing Yu, Lauren Conger, Adam Wierman

Further, this result is applied to robust adaptive model predictive control with uncertainty sets updated by set membership.

Model Predictive Control

Non-asymptotic System Identification for Linear Systems with Nonlinear Policies

no code implementations17 Jun 2023 YingYing Li, Tianpeng Zhang, Subhro Das, Jeff Shamma, Na Li

This paper considers a single-trajectory system identification problem for linear systems under general nonlinear and/or time-varying policies with i. i. d.

Model Predictive Control

Online Hyperparameter Optimization for Class-Incremental Learning

1 code implementation11 Jan 2023 Yaoyao Liu, YingYing Li, Bernt Schiele, Qianru Sun

Class-incremental learning (CIL) aims to train a classification model while the number of classes increases phase-by-phase.

Class Incremental Learning Hyperparameter Optimization +2

Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection

1 code implementation ICCV 2023 Jiaming Li, Xiangru Lin, Wei zhang, Xiao Tan, YingYing Li, Junyu Han, Errui Ding, Jingdong Wang, Guanbin Li

To tackle the confirmation bias from incorrect pseudo labels of minority classes, the class-rebalancing sampling module resamples unlabeled data following the guidance of the gradient-based reweighting module.

Object object-detection +2

Mining the Factor Zoo: Estimation of Latent Factor Models with Sufficient Proxies

no code implementations25 Dec 2022 Runzhe Wan, YingYing Li, Wenbin Lu, Rui Song

Latent factor model estimation typically relies on either using domain knowledge to manually pick several observed covariates as factor proxies, or purely conducting multivariate analysis such as principal component analysis.


Tele-Knowledge Pre-training for Fault Analysis

1 code implementation20 Oct 2022 Zhuo Chen, Wen Zhang, Yufeng Huang, Mingyang Chen, Yuxia Geng, Hongtao Yu, Zhen Bi, Yichi Zhang, Zhen Yao, Wenting Song, Xinliang Wu, Yi Yang, Mingyi Chen, Zhaoyang Lian, YingYing Li, Lei Cheng, Huajun Chen

In this work, we share our experience on tele-knowledge pre-training for fault analysis, a crucial task in telecommunication applications that requires a wide range of knowledge normally found in both machine log data and product documents.

Language Modelling

SoccerNet 2022 Challenges Results

7 code implementations5 Oct 2022 Silvio Giancola, Anthony Cioppa, Adrien Deliège, Floriane Magera, Vladimir Somers, Le Kang, Xin Zhou, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Abdulrahman Darwish, Adrien Maglo, Albert Clapés, Andreas Luyts, Andrei Boiarov, Artur Xarles, Astrid Orcesi, Avijit Shah, Baoyu Fan, Bharath Comandur, Chen Chen, Chen Zhang, Chen Zhao, Chengzhi Lin, Cheuk-Yiu Chan, Chun Chuen Hui, Dengjie Li, Fan Yang, Fan Liang, Fang Da, Feng Yan, Fufu Yu, Guanshuo Wang, H. Anthony Chan, He Zhu, Hongwei Kan, Jiaming Chu, Jianming Hu, Jianyang Gu, Jin Chen, João V. B. Soares, Jonas Theiner, Jorge De Corte, José Henrique Brito, Jun Zhang, Junjie Li, Junwei Liang, Leqi Shen, Lin Ma, Lingchi Chen, Miguel Santos Marques, Mike Azatov, Nikita Kasatkin, Ning Wang, Qiong Jia, Quoc Cuong Pham, Ralph Ewerth, Ran Song, RenGang Li, Rikke Gade, Ruben Debien, Runze Zhang, Sangrok Lee, Sergio Escalera, Shan Jiang, Shigeyuki Odashima, Shimin Chen, Shoichi Masui, Shouhong Ding, Sin-wai Chan, Siyu Chen, Tallal El-Shabrawy, Tao He, Thomas B. Moeslund, Wan-Chi Siu, Wei zhang, Wei Li, Xiangwei Wang, Xiao Tan, Xiaochuan Li, Xiaolin Wei, Xiaoqing Ye, Xing Liu, Xinying Wang, Yandong Guo, YaQian Zhao, Yi Yu, YingYing Li, Yue He, Yujie Zhong, Zhenhua Guo, Zhiheng Li

The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team.

Action Spotting Camera Calibration +3

Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task

no code implementations25 Mar 2022 Xiaoqing Ye, Mao Shu, Hanyu Li, Yifeng Shi, YingYing Li, Guangjie Wang, Xiao Tan, Errui Ding

On the other hand, the data captured from roadside cameras have strengths over frontal-view data, which is believed to facilitate a safer and more intelligent autonomous driving system.

Autonomous Driving Monocular 3D Object Detection +1

Statistical Learning for Individualized Asset Allocation

no code implementations20 Jan 2022 Yi Ding, YingYing Li, Rui Song

We show that our proposed Discretization and Regression with generalized fOlded concaVe penalty on Effect discontinuity (DROVE) approach enjoys desirable theoretical properties and allows for statistical inference of the optimal value associated with optimal decision-making.

Decision Making regression

Rope3D: The Roadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task

no code implementations CVPR 2022 Xiaoqing Ye, Mao Shu, Hanyu Li, Yifeng Shi, YingYing Li, Guangjie Wang, Xiao Tan, Errui Ding

On the other hand, the data captured from roadside cameras have strengths over frontal-view data, which is believed to facilitate a safer and more intelligent autonomous driving system.

Autonomous Driving Monocular 3D Object Detection +1

Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guarantees

no code implementations31 Oct 2021 YingYing Li, Subhro Das, Jeff Shamma, Na Li

We study the adaptive control of an unknown linear system with a quadratic cost function subject to safety constraints on both the states and actions.

Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video

no code implementations9 Aug 2021 Jie Wu, Wei zhang, Guanbin Li, Wenhao Wu, Xiao Tan, YingYing Li, Errui Ding, Liang Lin

In this paper, we introduce a novel task, referred to as Weakly-Supervised Spatio-Temporal Anomaly Detection (WSSTAD) in surveillance video.

Anomaly Detection

Good Practices and A Strong Baseline for Traffic Anomaly Detection

1 code implementation9 May 2021 Yuxiang Zhao, Wenhao Wu, Yue He, YingYing Li, Xiao Tan, Shifeng Chen

In this paper, we propose a straightforward and efficient framework that includes pre-processing, a dynamic track module, and post-processing.

Anomaly Detection Management +1

Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms

no code implementations NeurIPS 2020 YingYing Li, Na Li

To address this question, we introduce a gradient-based online algorithm, Receding Horizon Inexact Gradient (RHIG), and analyze its performance by dynamic regrets in terms of the temporal variation of the environment and the prediction errors.

Coherent Loss: A Generic Framework for Stable Video Segmentation

no code implementations25 Oct 2020 Mingyang Qian, Yi Fu, Xiao Tan, YingYing Li, Jinqing Qi, Huchuan Lu, Shilei Wen, Errui Ding

Video segmentation approaches are of great importance for numerous vision tasks especially in video manipulation for entertainment.

Segmentation Semantic Segmentation +2

Online Learning and Distributed Control for Residential Demand Response

no code implementations11 Oct 2020 Xin Chen, YingYing Li, Jun Shimada, Na Li

This paper studies the automated control method for regulating air conditioner (AC) loads in incentive-based residential demand response (DR).

Stochastic Optimization Thompson Sampling

Online Optimal Control with Affine Constraints

no code implementations10 Oct 2020 YingYing Li, Subhro Das, Na Li

We show that OGD-BZ can achieve a policy regret upper bound that is the square root of the horizon length multiplied by some logarithmic terms of the horizon length under proper algorithm parameters.

A Reliability-aware Multi-armed Bandit Approach to Learn and Select Users in Demand Response

no code implementations20 Mar 2020 YingYing Li, Qinran Hu, Na Li

One challenge in the optimization and control of societal systems is to handle the unknown and uncertain user behavior.

Avg Thompson Sampling

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