Search Results for author: Feng Zhu

Found 41 papers, 7 papers with code

When Demands Evolve Larger and Noisier: Learning and Earning in a Growing Environment

no code implementations ICML 2020 Feng Zhu, Zeyu Zheng

Finally, we consider an analogous non-stationary setting in the canonical multi-armed bandit problem, and points out that the \textit{any-time} situation and the \textit{fixed-time} situation render the same optimal regret order in a simple form, in contrast to the dynamic pricing problem.

Modeling Adaptive Platoon and Reservation Based Autonomous Intersection Control: A Deep Reinforcement Learning Approach

no code implementations24 Jun 2022 Duowei Li, Jianping Wu, Feng Zhu, Tianyi Chen, Yiik Diew Wong

As a strategy to reduce travel delay and enhance energy efficiency, platooning of connected and autonomous vehicles (CAVs) at non-signalized intersections has become increasingly popular in academia.

LinK3D: Linear Keypoints Representation for 3D LiDAR Point Cloud

no code implementations13 Jun 2022 Yunge Cui, Yinlong Zhang, Jiahua Dong, Haibo Sun, Feng Zhu

In this paper, we has applied our LinK3D to 3D registration, LiDAR odometry and place recognition tasks, and achieved competitive results compared with the state-of-the-art methods.

3D Object Detection object-detection

A Simple and Optimal Policy Design for Online Learning with Safety against Heavy-tailed Risk

no code implementations7 Jun 2022 David Simchi-Levi, Zeyu Zheng, Feng Zhu

To ensure safety against such heavy-tailed risk, for the two-armed bandit setting, we provide a simple policy design that (i) has the worst-case optimality for the expected regret at order $\tilde O(\sqrt{T})$ and (ii) has the worst-case tail probability of incurring a linear regret decay at an exponential rate $\exp(-\Omega(\sqrt{T}))$.

online learning

Domain Invariant Masked Autoencoders for Self-supervised Learning from Multi-domains

no code implementations10 May 2022 Haiyang Yang, Meilin Chen, Yizhou Wang, Shixiang Tang, Feng Zhu, Lei Bai, Rui Zhao, Wanli Ouyang

While recent self-supervised learning methods have achieved good performances with evaluation set on the same domain as the training set, they will have an undesirable performance decrease when tested on a different domain.

Self-Supervised Learning

Time Dependency, Data Flow, and Competitive Advantage

no code implementations17 Mar 2022 Ehsan Valavi, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu, Karim R. Lakhani

Relating the text topics to various business areas of interest, we argue that competing in a business area in which data value decays rapidly alters strategies to acquire competitive advantage.

Adaptive Worker Grouping For Communication-Efficient and Straggler-Tolerant Distributed SGD

no code implementations12 Jan 2022 Feng Zhu, Jingjing Zhang, Osvaldo Simeone, Xin Wang

Wall-clock convergence time and communication load are key performance metrics for the distributed implementation of stochastic gradient descent (SGD) in parameter server settings.

Learning Memory-Augmented Unidirectional Metrics for Cross-Modality Person Re-Identification

no code implementations CVPR 2022 Jialun Liu, Yifan Sun, Feng Zhu, Hongbin Pei, Yi Yang, Wenhui Li

These two unidirectional metrics (IR image to RGB proxy and RGB image to IR proxy) jointly alleviate the relay effect and benefit cross-modality association.

Cross-Modality Person Re-identification Person Re-Identification

GPS: A Policy-driven Sampling Approach for Graph Representation Learning

no code implementations29 Dec 2021 Tiehua Zhang, Yuze Liu, Xin Chen, Xiaowei Huang, Feng Zhu, Xi Zheng

Graph representation learning has drawn increasing attention in recent years, especially for learning the low dimensional embedding at both node and graph level for classification and recommendations tasks.

Graph Classification Graph Representation Learning

Feature Erasing and Diffusion Network for Occluded Person Re-Identification

no code implementations CVPR 2022 Zhikang Wang, Feng Zhu, Shixiang Tang, Rui Zhao, Lihuo He, Jiangning Song

With the guidance of the occlusion scores from OEM, the feature diffusion process is mainly conducted on visible body parts, which guarantees the quality of the synthesized NTP characteristics.

Person Re-Identification

DronePose: The identification, segmentation, and orientation detection of drones via neural networks

no code implementations10 Dec 2021 Stirling Scholes, Alice Ruget, German Mora-Martin, Feng Zhu, Istvan Gyongy, Jonathan Leach

The growing ubiquity of drones has raised concerns over the ability of traditional air-space monitoring technologies to accurately characterise such vehicles.

Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time

1 code implementation NeurIPS 2021 Feng Zhu, Andrew R. Sedler, Harrison A. Grier, Nauman Ahad, Mark A. Davenport, Matthew T. Kaufman, Andrea Giovannucci, Chethan Pandarinath

We test SBTT applied to sequential autoencoders and demonstrate more efficient and higher-fidelity characterization of neural population dynamics in electrophysiological and calcium imaging data.

Super-Resolution Time Series

Real-time, low-cost multi-person 3D pose estimation

no code implementations11 Oct 2021 Alice Ruget, Max Tyler, Germán Mora Martín, Stirling Scholes, Feng Zhu, Istvan Gyongy, Brent Hearn, Steve McLaughlin, Abderrahim Halimi, Jonathan Leach

The process of tracking human anatomy in computer vision is referred to pose estimation, and it is used in fields ranging from gaming to surveillance.

3D Multi-Person Pose Estimation 3D Pose Estimation

Zero-CL: Instance and Feature decorrelation for negative-free symmetric contrastive learning

no code implementations ICLR 2022 Shaofeng Zhang, Feng Zhu, Junchi Yan, Rui Zhao, Xiaokang Yang

The proposed two methods (FCL, ICL) can be combined synthetically, called Zero-CL, where ``Zero'' means negative samples are \textbf{zero} relevant, which allows Zero-CL to completely discard negative pairs i. e., with \textbf{zero} negative samples.

Contrastive Learning

Temporal RoI Align for Video Object Recognition

1 code implementation8 Sep 2021 Tao Gong, Kai Chen, Xinjiang Wang, Qi Chu, Feng Zhu, Dahua Lin, Nenghai Yu, Huamin Feng

In this work, considering the features of the same object instance are highly similar among frames in a video, a novel Temporal RoI Align operator is proposed to extract features from other frames feature maps for current frame proposals by utilizing feature similarity.

Instance Segmentation object-detection +4

A Unified Framework for Cross-Domain and Cross-System Recommendations

no code implementations18 Aug 2021 Feng Zhu, Yan Wang, Jun Zhou, Chaochao Chen, Longfei Li, Guanfeng Liu

Moreover, to avoid negative transfer, we further propose a Personalized training strategy to minimize the embedding difference of common entities between a richer dataset and a sparser dataset, deriving three new models, i. e., GA-DTCDR-P, GA-MTCDR-P, and GA-CDR+CSR-P, for the three scenarios respectively.

Graph Embedding

A new method for vehicle system safety design based on data mining with uncertainty modeling

no code implementations12 Jul 2021 Xianping Du, Binhui Jiang, Feng Zhu

In this research, a new data mining-based design approach has been developed for designing complex mechanical systems such as a crashworthy passenger car with uncertainty modeling.

Offline Planning and Online Learning under Recovering Rewards

no code implementations28 Jun 2021 David Simchi-Levi, Zeyu Zheng, Feng Zhu

Motivated by emerging applications such as live-streaming e-commerce, promotions and recommendations, we introduce and solve a general class of non-stationary multi-armed bandit problems that have the following two features: (i) the decision maker can pull and collect rewards from up to $K\,(\ge 1)$ out of $N$ different arms in each time period; (ii) the expected reward of an arm immediately drops after it is pulled, and then non-parametrically recovers as the arm's idle time increases.

online learning

Improving Facial Attribute Recognition by Group and Graph Learning

no code implementations28 May 2021 Zhenghao Chen, Shuhang Gu, Feng Zhu, Jing Xu, Rui Zhao

For the spatial correlation, we aggregate attributes with spatial similarity into a part-based group and then introduce a Group Attention Learning to generate the group attention and the part-based group feature.

Graph Learning

Minimization of ion micromotion with artificial neural network

no code implementations3 Mar 2021 Yang Liu, Qi-feng Lao, Peng-fei Lu, Xin-xin Rao, Hao Wu, Teng Liu, Kun-xu Wang, Zhao Wang, Ming-shen Li, Feng Zhu, Luo Le

Minimizing the micromotion of the single trapped ion in a linear Paul trap is a tedious and time-consuming work, but is of great importance in cooling the ion into the motional ground state as well as maintaining long coherence time, which is crucial for quantum information processing and quantum computation.

Atomic Physics Quantum Physics

Cross-Domain Recommendation: Challenges, Progress, and Prospects

no code implementations2 Mar 2021 Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu

To address the long-standing data sparsity problem in recommender systems (RSs), cross-domain recommendation (CDR) has been proposed to leverage the relatively richer information from a richer domain to improve the recommendation performance in a sparser domain.

Recommendation Systems

Progressive Correspondence Pruning by Consensus Learning

no code implementations ICCV 2021 Chen Zhao, Yixiao Ge, Feng Zhu, Rui Zhao, Hongsheng Li, Mathieu Salzmann

Correspondence selection aims to correctly select the consistent matches (inliers) from an initial set of putative correspondences.

Denoising Pose Estimation

A Deep Framework for Cross-Domain and Cross-System Recommendations

no code implementations14 Sep 2020 Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet Orgun, Jia Wu

Therefore, finding an accurate mapping of the latent factors across domains or systems is crucial to enhancing recommendation accuracy.

Recommendation Systems

Self-supervising Fine-grained Region Similarities for Large-scale Image Localization

3 code implementations ECCV 2020 Yixiao Ge, Haibo Wang, Feng Zhu, Rui Zhao, Hongsheng Li

The task of large-scale retrieval-based image localization is to estimate the geographical location of a query image by recognizing its nearest reference images from a city-scale dataset.

Image Retrieval

Towards Unified INT8 Training for Convolutional Neural Network

no code implementations CVPR 2020 Feng Zhu, Ruihao Gong, Fengwei Yu, Xianglong Liu, Yanfei Wang, Zhelong Li, Xiuqi Yang, Junjie Yan

In this paper, we give an attempt to build a unified 8-bit (INT8) training framework for common convolutional neural networks from the aspects of both accuracy and speed.

object-detection Object Detection +1

Clustering Bioactive Molecules in 3D Chemical Space with Unsupervised Deep Learning

no code implementations9 Feb 2019 Chu Qin, Ying Tan, Shang Ying Chen, Xian Zeng, Xingxing Qi, Tian Jin, Huan Shi, Yiwei Wan, Yu Chen, Jingfeng Li, Weidong He, Yali Wang, Peng Zhang, Feng Zhu, Hongping Zhao, Yuyang Jiang, Yuzong Chen

We ex-plored the superior learning capability of deep autoencoders for unsupervised clustering of 1. 39 mil-lion bioactive molecules into band-clusters in a 3-dimensional latent chemical space.

Drug Discovery

Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classification

2 code implementations CVPR 2017 Feng Zhu, Hongsheng Li, Wanli Ouyang, Nenghai Yu, Xiaogang Wang

Analysis of the learned SRN model demonstrates that it can effectively capture both semantic and spatial relations of labels for improving classification performance.

Classification General Classification +2

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