Search Results for author: Jin Huang

Found 23 papers, 10 papers with code

A Hybrid System for NLPTEA-2020 CGED Shared Task

no code implementations AACL (NLP-TEA) 2020 Meiyuan Fang, Kai Fu, JiPing Wang, Yang Liu, Jin Huang, Yitao Duan

As a result, among the six tracks in the shared task, our system performs well in the correction tracks: measured in F1 score, we rank first, with the highest precision, in the TOP3 correction track and third in the TOP1 correction track, also with the highest precision.

Lorentz Equivariant Model for Knowledge-Enhanced Hyperbolic Collaborative Filtering

no code implementations9 Feb 2023 Bosong Huang, Weihao Yu, Ruzhong Xie, Jing Xiao, Jin Huang

Introducing prior auxiliary information from the knowledge graph (KG) to assist the user-item graph can improve the comprehensive performance of the recommender system.

Collaborative Filtering Recommendation Systems

Human Activity Recognition in an Open World

no code implementations23 Dec 2022 Derek S. Prijatelj, Samuel Grieggs, Jin Huang, Dawei Du, Ameya Shringi, Christopher Funk, Adam Kaufman, Eric Robertson, Walter J. Scheirer

Managing novelty in perception-based human activity recognition (HAR) is critical in realistic settings to improve task performance over time and ensure solution generalization outside of prior seen samples.

Human Activity Recognition

Semantically Consistent Data Augmentation for Neural Machine Translation via Conditional Masked Language Model

1 code implementation COLING 2022 Qiao Cheng, Jin Huang, Yitao Duan

In addition, to enhance diversity, we incorporate the idea of soft word substitution for data augmentation which replaces a word with a probabilistic distribution over the vocabulary.

Data Augmentation Language Modelling +2

Measuring Human Perception to Improve Open Set Recognition

no code implementations8 Sep 2022 Jin Huang, Derek Prijatelj, Justin Dulay, Walter Scheirer

The human ability to recognize when an object is known or novel currently outperforms all open set recognition algorithms.

Object Recognition Open Set Learning

State Encoders in Reinforcement Learning for Recommendation: A Reproducibility Study

1 code implementation10 May 2022 Jin Huang, Harrie Oosterhuis, Bunyamin Cetinkaya, Thijs Rood, Maarten de Rijke

In response to these shortcomings, we reproduce and expand on the existing comparison of attention-based state encoders (1) in the publicly available debiased RL4Rec SOFA simulator with (2) a different RL method, (3) more state encoders, and (4) a different dataset.

reinforcement-learning Reinforcement Learning (RL)

Series Photo Selection via Multi-view Graph Learning

no code implementations18 Mar 2022 Jin Huang, Lu Zhang, Yongshun Gong, Jian Zhang, Xiushan Nie, Yilong Yin

Series photo selection (SPS) is an important branch of the image aesthetics quality assessment, which focuses on finding the best one from a series of nearly identical photos.

Aesthetics Quality Assessment Graph Learning

City3D: Large-Scale Building Reconstruction from Airborne LiDAR Point Clouds

1 code implementation25 Jan 2022 Jin Huang, Jantien Stoter, Ravi Peters, Liangliang Nan

A major challenge of urban reconstruction from airborne LiDAR point clouds lies in that the vertical walls are typically missing.

Surface Reconstruction

It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are Dynamic

1 code implementation24 Nov 2021 Jin Huang, Harrie Oosterhuis, Maarten de Rijke

We theoretically show that in a dynamic scenario in which both the selection bias and user preferences are dynamic, existing debiasing methods are no longer unbiased.

Recommendation Systems Selection bias

Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder

1 code implementation9 Nov 2021 Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang

This method shows advantages both in compression fidelity and ratio compared to traditional data compression methods, such as MGARD, SZ, and ZFP.

Data Compression

Efficient Second-Order Optimization for Deep Learning with Kernel Machines

no code implementations29 Sep 2021 Yawen Chen, Zeyi Wen, Yile Chen, Jian Chen, Jin Huang

However, the recomputation of the Hessian matrix in the second-order optimization posts much extra computation and memory burden in the training.

Regularized Sequential Latent Variable Models with Adversarial Neural Networks

no code implementations10 Aug 2021 Jin Huang, Ming Xiao

The recurrent neural networks (RNN) with richly distributed internal states and flexible non-linear transition functions, have overtaken the dynamic Bayesian networks such as the hidden Markov models (HMMs) in the task of modeling highly structured sequential data.

Variational Inference

Hybrid Car-Following Strategy based on Deep Deterministic Policy Gradient and Cooperative Adaptive Cruise Control

no code implementations24 Feb 2021 Ruidong Yan, Rui Jiang, Bin Jia, Jin Huang, Diange Yang

Deep deterministic policy gradient (DDPG)-based car-following strategy can break through the constraints of the differential equation model due to the ability of exploration on complex environments.

Costly Features Classification using Monte Carlo Tree Search

no code implementations14 Feb 2021 Ziheng Chen, Jin Huang, Hongshik Ahn, Xin Ning

We consider the problem of costly feature classification, where we sequentially select the subset of features to make a balance between the classification error and the feature cost.

Classification General Classification

Hierarchical Neural Architecture Search for Single Image Super-Resolution

1 code implementation10 Mar 2020 Yong Guo, Yongsheng Luo, Zhenhao He, Jin Huang, Jian Chen

To this end, we design a hierarchical SR search space and propose a hierarchical controller for architecture search.

Image Super-Resolution Neural Architecture Search

Breaking the Data Barrier: Towards Robust Speech Translation via Adversarial Stability Training

no code implementations EMNLP (IWSLT) 2019 Qiao Cheng, Meiyuan Fang, Yaqian Han, Jin Huang, Yitao Duan

A standard machine translation system is usually trained on parallel corpus composed of clean text and will perform poorly on text with recognition noise, a gap well known in speech translation community.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

GeoSay: A Geometric Saliency for Extracting Buildings in Remote Sensing Images

no code implementations7 Nov 2018 Gui-Song Xia, Jin Huang, Nan Xue, Qikai Lu, Xiaoxiang Zhu

More precisely, given an image, the geometric saliency is derived from a mid-level geometric representations based on meaningful junctions that can locally describe geometrical structures of images.

Extracting Buildings In Remote Sensing Images

KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems

1 code implementation30 Jul 2018 Wayne Xin Zhao, Gaole He, Hongjian Dou, Jin Huang, Siqi Ouyang, Ji-Rong Wen

Based on our linked dataset, we first preform some interesting qualitative analysis experiments, in which we discuss the effect of two important factors (i. e. popularity and recency) on whether a RS item can be linked to a KB entity.

Knowledge-Aware Recommendation

Accurate Building Detection in VHR Remote Sensing Images using Geometric Saliency

no code implementations4 Jun 2018 Jin Huang, Gui-Song Xia, Fan Hu, Liangpei Zhang

This paper aims to address the problem of detecting buildings from remote sensing images with very high resolution (VHR).

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