Search Results for author: Yihong Chen

Found 15 papers, 9 papers with code

Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training

no code implementations20 Dec 2022 Kelly Marchisio, Patrick Lewis, Yihong Chen, Mikel Artetxe

Prior work has shown that it is possible to expand pretrained Masked Language Models (MLMs) to new languages by learning a new set of embeddings, while keeping the transformer body frozen.

Cross-Lingual Transfer

PointScatter: Point Set Representation for Tubular Structure Extraction

1 code implementation13 Sep 2022 Dong Wang, Zhao Zhang, Ziwei Zhao, Yuhang Liu, Yihong Chen, LiWei Wang

Inspired by this, we propose PointScatter, an alternative to the segmentation models for the tubular structure extraction task.

Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection

no code implementations13 Sep 2022 Ziwei Zhao, Dong Wang, Yihong Chen, Ziteng Wang, LiWei Wang

In mammogram mass detection, modeling pairwise lesion correspondence explicitly is particularly important.

Lesion Detection

Boosting 3D Object Detection via Object-Focused Image Fusion

1 code implementation21 Jul 2022 Hao Yang, Chen Shi, Yihong Chen, LiWei Wang

Given a set of point features and image feature maps, DeMF adaptively aggregates image features by taking the projected 2D location of the 3D point as reference.

3D Object Detection object-detection

ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective

no code implementations20 Jul 2022 Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel

Factorisation-based Models (FMs), such as DistMult, have enjoyed enduring success for Knowledge Graph Completion (KGC) tasks, often outperforming Graph Neural Networks (GNNs).

Knowledge Graph Completion

Learnable Embedding Sizes for Recommender Systems

1 code implementation ICLR 2021 Siyi Liu, Chen Gao, Yihong Chen, Depeng Jin, Yong Li

Existing works that try to address the problem always cause a significant drop in recommendation performance or suffers from the limitation of unaffordable training time cost.

Recommendation Systems Representation Learning

RepPoints V2: Verification Meets Regression for Object Detection

1 code implementation NeurIPS 2020 Yihong Chen, Zheng Zhang, Yue Cao, Li-Wei Wang, Stephen Lin, Han Hu

Though RepPoints provides high performance, we find that its heavy reliance on regression for object localization leaves room for improvement.

Instance Segmentation object-detection +5

You Impress Me: Dialogue Generation via Mutual Persona Perception

1 code implementation ACL 2020 Qian Liu, Yihong Chen, Bei Chen, Jian-Guang Lou, Zixuan Chen, Bin Zhou, Dongmei Zhang

Despite the continuing efforts to improve the engagingness and consistency of chit-chat dialogue systems, the majority of current work simply focus on mimicking human-like responses, leaving understudied the aspects of modeling understanding between interlocutors.

Dialogue Generation

Memory Enhanced Global-Local Aggregation for Video Object Detection

2 code implementations CVPR 2020 Yihong Chen, Yue Cao, Han Hu, Li-Wei Wang

We argue that there are two important cues for humans to recognize objects in videos: the global semantic information and the local localization information.

object-detection Video Object Detection

LambdaOpt: Learn to Regularize Recommender Models in Finer Levels

1 code implementation28 May 2019 Yihong Chen, Bei Chen, Xiangnan He, Chen Gao, Yong Li, Jian-Guang Lou, Yue Wang

We show how to employ LambdaOpt on matrix factorization, a classical model that is representative of a large family of recommender models.

Hyperparameter Optimization Recommendation Systems

HDI-Forest: Highest Density Interval Regression Forest

2 code implementations24 May 2019 Lin Zhu, Jiaxing Lu, Yihong Chen

By seeking the narrowest prediction intervals (PIs) that satisfy the specified coverage probability requirements, the recently proposed quality-based PI learning principle can extract high-quality PIs that better summarize the predictive certainty in regression tasks, and has been widely applied to solve many practical problems.

Prediction Intervals regression

Session-based Sequential Skip Prediction via Recurrent Neural Networks

no code implementations13 Feb 2019 Lin Zhu, Yihong Chen

The focus of WSDM cup 2019 is session-based sequential skip prediction, i. e. predicting whether users will skip tracks, given their immediately preceding interactions in their listening session.

Sequential skip prediction Session-Based Recommendations

A Domain Generalization Perspective on Listwise Context Modeling

no code implementations12 Feb 2019 Lin Zhu, Yihong Chen, Bowen He

As one of the most popular techniques for solving the ranking problem in information retrieval, Learning-to-rank (LETOR) has received a lot of attention both in academia and industry due to its importance in a wide variety of data mining applications.

Domain Generalization Information Retrieval +2

Learning-to-Ask: Knowledge Acquisition via 20 Questions

no code implementations22 Jun 2018 Yihong Chen, Bei Chen, Xuguang Duan, Jian-Guang Lou, Yue Wang, Wenwu Zhu, Yong Cao

Almost all the knowledge empowered applications rely upon accurate knowledge, which has to be either collected manually with high cost, or extracted automatically with unignorable errors.

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