Search Results for author: Yu Gu

Found 17 papers, 7 papers with code

Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder

1 code implementation6 May 2022 Zhenghao Liu, Han Zhang, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Xiaohua LI

To reduce the embedding dimensions of dense retrieval, this paper proposes a Conditional Autoencoder (ConAE) to compress the high-dimensional embeddings to maintain the same embedding distribution and better recover the ranking features.

Dimensionality Reduction Information Retrieval

ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answering

no code implementations17 Apr 2022 Yu Gu, Yu Su

Question answering on knowledge bases (KBQA) poses a unique challenge for semantic parsing research due to two intertwined factors: large search space and ambiguities in schema linking.

Knowledge Base Question Answering Program induction +1

HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction

no code implementations25 Feb 2022 Chongjian Yue, Lun Du, Qiang Fu, Wendong Bi, Hengyu Liu, Yu Gu, Di Yao

The Temporal Link Prediction task of WSDM Cup 2022 expects a single model that can work well on two kinds of temporal graphs simultaneously, which have quite different characteristics and data properties, to predict whether a link of a given type will occur between two given nodes within a given time span.

Link Prediction

SentiPrompt: Sentiment Knowledge Enhanced Prompt-Tuning for Aspect-Based Sentiment Analysis

no code implementations17 Sep 2021 Chengxi Li, Feiyu Gao, Jiajun Bu, Lu Xu, Xiang Chen, Yu Gu, Zirui Shao, Qi Zheng, Ningyu Zhang, Yongpan Wang, Zhi Yu

We inject sentiment knowledge regarding aspects, opinions, and polarities into prompt and explicitly model term relations via constructing consistency and polarity judgment templates from the ground truth triplets.

Aspect-Based Sentiment Analysis Language Modelling +1

A Systematic Investigation of KB-Text Embedding Alignment at Scale

1 code implementation ACL 2021 Vardaan Pahuja, Yu Gu, Wenhu Chen, Mehdi Bahrami, Lei Liu, Wei-Peng Chen, Yu Su

Knowledge bases (KBs) and text often contain complementary knowledge: KBs store structured knowledge that can support long range reasoning, while text stores more comprehensive and timely knowledge in an unstructured way.

Link Prediction

Slip-Based Autonomous ZUPT through Gaussian Process to Improve Planetary Rover Localization

1 code implementation13 Mar 2021 Cagri Kilic, Nicholas Ohi, Yu Gu, Jason N. Gross

The zero-velocity update (ZUPT) algorithm provides valuable state information to maintain the inertial navigation system (INS) reliability when stationary conditions are satisfied.

Search Planning of a UAV/UGV Team with Localization Uncertainty in a Subterranean Environment

no code implementations11 Feb 2021 Matteo De Petrillo, Jared Beard, Yu Gu, Jason N. Gross

We present a waypoint planning algorithm for an unmanned aerial vehicle (UAV) that is teamed with an unmanned ground vehicle (UGV) for the task of search and rescue in a subterranean environment.

Simultaneous Localization and Mapping Trajectory Planning Robotics

Multi-Classifier Interactive Learning for Ambiguous Speech Emotion Recognition

no code implementations10 Dec 2020 Ying Zhou, Xuefeng Liang, Yu Gu, Yifei Yin, Longshan Yao

In recent years, speech emotion recognition technology is of great significance in industrial applications such as call centers, social robots and health care.

Speech Emotion Recognition Speech Recognition

Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases

1 code implementation16 Nov 2020 Yu Gu, Sue Kase, Michelle Vanni, Brian Sadler, Percy Liang, Xifeng Yan, Yu Su

To facilitate the development of KBQA models with stronger generalization, we construct and release a new large-scale, high-quality dataset with 64, 331 questions, GrailQA, and provide evaluation settings for all three levels of generalization.

Knowledge Base Question Answering

Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing

no code implementations31 Jul 2020 Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon

In this paper, we challenge this assumption by showing that for domains with abundant unlabeled text, such as biomedicine, pretraining language models from scratch results in substantial gains over continual pretraining of general-domain language models.

Continual Pretraining Document Classification +8

ByteSing: A Chinese Singing Voice Synthesis System Using Duration Allocated Encoder-Decoder Acoustic Models and WaveRNN Vocoders

no code implementations23 Apr 2020 Yu Gu, Xiang Yin, Yonghui Rao, Yuan Wan, Benlai Tang, Yang Zhang, Jitong Chen, Yuxuan Wang, Zejun Ma

This paper presents ByteSing, a Chinese singing voice synthesis (SVS) system based on duration allocated Tacotron-like acoustic models and WaveRNN neural vocoders.

Cooperative Extended State Observer Based Control of Vehicle Platoons With Arbitrarily Small Time Headway

no code implementations21 Apr 2020 Anquan Liu, Tao Li, Yu Gu, Haohui Dai

By using the stability theory of perturbed linear systems, we show that the control parameters can be properly designed to ensure the closed-loop and L2 string stabilities for any given positive time headway.

BeSense: Leveraging WiFi Channel Data and Computational Intelligence for Behavior Analysis

no code implementations13 Jul 2019 Yu Gu, Xiang Zhang, Zhi Liu, Fuji Ren

The ever evolving informatics technology has gradually bounded human and computer in a compact way.

Improved Planetary Rover Inertial Navigation and Wheel Odometry Performance through Periodic Use of Zero-Type Constraints

4 code implementations20 Jun 2019 Cagri Kilic, Jason N. Gross, Nicholas Ohi, Ryan Watson, Jared Strader, Thomas Swiger, Scott Harper, Yu Gu

We present an approach to enhance wheeled planetary rover dead-reckoning localization performance by leveraging the use of zero-type constraint equations in the navigation filter.


Single-Pass PCA of Large High-Dimensional Data

1 code implementation25 Apr 2017 Wenjian Yu, Yu Gu, Jian Li, Shenghua Liu, Yaohang Li

Principal component analysis (PCA) is a fundamental dimension reduction tool in statistics and machine learning.

Dimensionality Reduction

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