Search Results for author: Ge Gao

Found 18 papers, 6 papers with code

BU-NEmo: an Affective Dataset of Gun Violence News

no code implementations LREC 2022 Carley Reardon, Sejin Paik, Ge Gao, Meet Parekh, Yanling Zhao, Lei Guo, Margrit Betke, Derry Tanti Wijaya

As such, we introduce a U. S. gun violence news dataset that contains news headline and image pairings from 840 news articles with 15K high-quality, crowdsourced annotations on emotional responses to the news pairings.

HOPE: Human-Centric Off-Policy Evaluation for E-Learning and Healthcare

no code implementations18 Feb 2023 Ge Gao, Song Ju, Markel Sanz Ausin, Min Chi

Reinforcement learning (RL) has been extensively researched for enhancing human-environment interactions in various human-centric tasks, including e-learning and healthcare.

Off-policy evaluation

Variational Latent Branching Model for Off-Policy Evaluation

1 code implementation28 Jan 2023 Qitong Gao, Ge Gao, Min Chi, Miroslav Pajic

In this work, we propose the variational latent branching model (VLBM) to learn the transition function of MDPs by formulating the environmental dynamics as a compact latent space, from which the next states and rewards are then sampled.

Off-policy evaluation Variational Inference

Client Selection in Federated Learning: Principles, Challenges, and Opportunities

no code implementations3 Nov 2022 Lei Fu, Huanle Zhang, Ge Gao, Huajie Wang, Mi Zhang, Xin Liu

As a privacy-preserving paradigm for training Machine Learning (ML) models, Federated Learning (FL) has received tremendous attention from both industry and academia.

Fairness Federated Learning +1

Taking a Language Detour: How International Migrants Speaking a Minority Language Seek COVID-Related Information in Their Host Countries

no code implementations7 Sep 2022 Ge Gao, Jian Zheng, Eun Kyoung Choe, Naomi Yamashita

Our data indicated that participants often took language detours, or visits to Mandarin resources for information about the COVID outbreak in their host countries.

Facilitating Global Team Meetings Between Language-Based Subgroups: When and How Can Machine Translation Help?

no code implementations7 Sep 2022 Yongle Zhang, Dennis Asamoah Owusu, Marine Carpuat, Ge Gao

We manipulated the exchange of subgroup conversation logs prior to team meetings: with MT-mediated exchanges versus without.

Machine Translation

Modeling and Validating Temporal Rules with Semantic Petri-Net for Digital Twins

no code implementations4 Mar 2022 Han Liu, Xiaoyu Song, Ge Gao, Hehua Zhang, Yu-Shen Liu, Ming Gu

Semantic rule checking on RDFS/OWL data has been widely used in the construction industry.

Guidance and Teaching Network for Video Salient Object Detection

no code implementations21 May 2021 Yingxia Jiao, Xiao Wang, Yu-Cheng Chou, Shouyuan Yang, Ge-Peng Ji, Rong Zhu, Ge Gao

Owing to the difficulties of mining spatial-temporal cues, the existing approaches for video salient object detection (VSOD) are limited in understanding complex and noisy scenarios, and often fail in inferring prominent objects.

object-detection Salient Object Detection +1

Early Performance Prediction using Interpretable Patterns in Programming Process Data

no code implementations10 Feb 2021 Ge Gao, Samiha Marwan, Thomas W. Price

From the log data, we extract patterns of behaviors that are predictive of students' success using an approach called differential sequence mining.

Neural Image Compression via Attentional Multi-Scale Back Projection and Frequency Decomposition

no code implementations ICCV 2021 Ge Gao, Pei You, Rong pan, Shunyuan Han, Yuanyuan Zhang, Yuchao Dai, Hojae Lee

In recent years, neural image compression emerges as a rapidly developing topic in computer vision, where the state-of-the-art approaches now exhibit superior compression performance than their conventional counterparts.

Image Compression MS-SSIM +1

6D Object Pose Regression via Supervised Learning on Point Clouds

1 code implementation24 Jan 2020 Ge Gao, Mikko Lauri, Yulong Wang, Xiaolin Hu, Jianwei Zhang, Simone Frintrop

We use depth information represented by point clouds as the input to both deep networks and geometry-based pose refinement and use separate networks for rotation and translation regression.

regression Translation

Neural Metaphor Detection in Context

1 code implementation EMNLP 2018 Ge Gao, Eunsol Choi, Yejin Choi, Luke Zettlemoyer

We present end-to-end neural models for detecting metaphorical word use in context.

Occlusion Resistant Object Rotation Regression from Point Cloud Segments

no code implementations16 Aug 2018 Ge Gao, Mikko Lauri, Jianwei Zhang, Simone Frintrop

Rotation estimation of known rigid objects is important for robotic applications such as dexterous manipulation.


Saliency-guided Adaptive Seeding for Supervoxel Segmentation

no code implementations13 Apr 2017 Ge Gao, Mikko Lauri, Jianwei Zhang, Simone Frintrop

We propose a new saliency-guided method for generating supervoxels in 3D space.

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