Search Results for author: Rui Wu

Found 22 papers, 5 papers with code

WIP: Development of a Student-Centered Personalized Learning Framework to Advance Undergraduate Robotics Education

no code implementations10 Sep 2023 Ponkoj Chandra Shill, Rui Wu, Hossein Jamali, Bryan Hutchins, Sergiu Dascalu, Frederick C. Harris, David Feil-Seifer

This paper presents a work-in-progress on a learn-ing system that will provide robotics students with a personalized learning environment.

Continuous odor profile monitoring to study olfactory navigation in small animals

no code implementations14 Jan 2023 Kevin S. Chen, Rui Wu, Marc H. Gershow, Andrew M. Leifer

Olfactory navigation is observed across species and plays a crucial role in locating resources for survival.

Heterogeneous Information Crossing on Graphs for Session-based Recommender Systems

no code implementations24 Oct 2022 Xiaolin Zheng, Rui Wu, Zhongxuan Han, Chaochao Chen, Linxun Chen, Bing Han

HICG utilizes multiple types of user behaviors in the sessions to construct heterogeneous graphs, and captures users' current interests with their long-term preferences by effectively crossing the heterogeneous information on the graphs.

Contrastive Learning Recommendation Systems

Conditional Generation Net for Medication Recommendation

1 code implementation14 Feb 2022 Rui Wu, Zhaopeng Qiu, Jiacheng Jiang, Guilin Qi, Xian Wu

Medication recommendation targets to provide a proper set of medicines according to patients' diagnoses, which is a critical task in clinics.

Multi-Label Classification

HybridGazeNet: Geometric model guided Convolutional Neural Networks for gaze estimation

no code implementations23 Nov 2021 Shaobo Guo, Xiao Jiang, Zhizhong Su, Rui Wu, Xin Wang

As a critical cue for understanding human intention, human gaze provides a key signal for Human-Computer Interaction(HCI) applications.

Gaze Estimation

Multi-scale 2D Representation Learning for weakly-supervised moment retrieval

no code implementations4 Nov 2021 Ding Li, Rui Wu, Yongqiang Tang, Zhizhong Zhang, Wensheng Zhang

Specifically, we first construct a two-dimensional map for each temporal scale to capture the temporal dependencies between candidates.

Moment Retrieval Representation Learning +1

What Makes for Hierarchical Vision Transformer?

no code implementations5 Jul 2021 Yuxin Fang, Xinggang Wang, Rui Wu, Wenyu Liu

Recent studies indicate that hierarchical Vision Transformer with a macro architecture of interleaved non-overlapped window-based self-attention \& shifted-window operation is able to achieve state-of-the-art performance in various visual recognition tasks, and challenges the ubiquitous convolutional neural networks (CNNs) using densely slid kernels.

Instance Segmentation object-detection +3

You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection

2 code implementations NeurIPS 2021 Yuxin Fang, Bencheng Liao, Xinggang Wang, Jiemin Fang, Jiyang Qi, Rui Wu, Jianwei Niu, Wenyu Liu

Can Transformer perform 2D object- and region-level recognition from a pure sequence-to-sequence perspective with minimal knowledge about the 2D spatial structure?

object-detection Object Detection

Identifying the origin of the non-monotonic thickness dependence of spin-orbit torques and interfacial Dzyaloshinskii-Moriya interaction in a ferrimagnetic insulator heterostructure

no code implementations17 Dec 2020 Shilei Ding, Lorenzo Baldrati, Andrew Ross, Zengyao Ren, Rui Wu, Sven Becker, Jinbo Yang, Gerhard Jakob, Arne Brataas, Mathias Kläui

We find that the non-monotonic SOT efficiency as a function of the magnetic layer thickness is not consistent with the 1/thickness dependence expected from a simple interfacial SOT mechanism.

Materials Science

Learning Heatmap-Style Jigsaw Puzzles Provides Good Pretraining for 2D Human Pose Estimation

no code implementations13 Dec 2020 Kun Zhang, Rui Wu, Ping Yao, Kai Deng, Ding Li, Renbiao Liu, Chuanguang Yang, Ge Chen, Min Du, Tianyao Zheng

We note that 2D pose estimation task is highly dependent on the contextual relationship between image patches, thus we introduce a self-supervised method for pretraining 2D pose estimation networks.

2D Human Pose Estimation 2D Pose Estimation +1

MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model

no code implementations CVPR 2020 Han Fu, Rui Wu, Chenghao Liu, Jianling Sun

Nowadays, driven by the increasing concern on diet and health, food computing has attracted enormous attention from both industry and research community.

Cross-Modal Retrieval Retrieval

Learning Enhanced Resolution-wise features for Human Pose Estimation

no code implementations11 Sep 2019 Kun Zhang, Peng He, Ping Yao, Ge Chen, Rui Wu, Min Du, Huimin Li, Li Fu, Tianyao Zheng

Specifically, RAM learns a group of weights to represent the different importance of feature maps across resolutions, and the GPR gradually merges every two feature maps from low to high resolutions to regress final human keypoint heatmaps.

GPR Keypoint Detection

RecSim: A Configurable Simulation Platform for Recommender Systems

1 code implementation11 Sep 2019 Eugene Ie, Chih-Wei Hsu, Martin Mladenov, Vihan Jain, Sanmit Narvekar, Jing Wang, Rui Wu, Craig Boutilier

We propose RecSim, a configurable platform for authoring simulation environments for recommender systems (RSs) that naturally supports sequential interaction with users.

Recommendation Systems reinforcement-learning +1

Clustering and Inference From Pairwise Comparisons

no code implementations16 Feb 2015 Rui Wu, Jiaming Xu, R. Srikant, Laurent Massoulié, Marc Lelarge, Bruce Hajek

We propose an efficient algorithm that accurately estimates the individual preferences for almost all users, if there are $r \max \{m, n\}\log m \log^2 n$ pairwise comparisons per type, which is near optimal in sample complexity when $r$ only grows logarithmically with $m$ or $n$.


Collaborative Filtering with Information-Rich and Information-Sparse Entities

no code implementations6 Mar 2014 Kai Zhu, Rui Wu, Lei Ying, R. Srikant

In particular, we consider both the clustering model, where only users (or items) are clustered, and the co-clustering model, where both users and items are clustered, and further, we assume that some users rate many items (information-rich users) and some users rate only a few items (information-sparse users).

Clustering Collaborative Filtering +1

Jointly Clustering Rows and Columns of Binary Matrices: Algorithms and Trade-offs

no code implementations1 Oct 2013 Jiaming Xu, Rui Wu, Kai Zhu, Bruce Hajek, R. Srikant, Lei Ying

In standard clustering problems, data points are represented by vectors, and by stacking them together, one forms a data matrix with row or column cluster structure.


Learning Loosely Connected Markov Random Fields

no code implementations25 Apr 2012 Rui Wu, R. Srikant, Jian Ni

We consider the structure learning problem for graphical models that we call loosely connected Markov random fields, in which the number of short paths between any pair of nodes is small, and present a new conditional independence test based algorithm for learning the underlying graph structure.

Cannot find the paper you are looking for? You can Submit a new open access paper.