Search Results for author: Yu Gu

Found 44 papers, 17 papers with code

NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams

no code implementations5 Dec 2023 Chaoyi Chen, Dechao Gao, Yanfeng Zhang, Qiange Wang, Zhenbo Fu, Xuecang Zhang, Junhua Zhu, Yu Gu, Ge Yu

Though many dynamic GNN models have emerged to learn from evolving graphs, the training process of these dynamic GNNs is dramatically different from traditional GNNs in that it captures both the spatial and temporal dependencies of graph updates.

NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments

no code implementations22 Nov 2023 Xin Ai, Qiange Wang, Chunyu Cao, Yanfeng Zhang, Chaoyi Chen, Hao Yuan, Yu Gu, Ge Yu

After extensive experiments and analysis, we find that existing task orchestrating methods fail to fully utilize the heterogeneous resources, limited by inefficient CPU processing or GPU resource contention.

Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective

no code implementations22 Nov 2023 Hao Yuan, Yajiong Liu, Yanfeng Zhang, Xin Ai, Qiange Wang, Chaoyi Chen, Yu Gu, Ge Yu

Many Graph Neural Network (GNN) training systems have emerged recently to support efficient GNN training.


Modeling User Viewing Flow using Large Language Models for Article Recommendation

no code implementations12 Nov 2023 Zhenghao Liu, Zulong Chen, Moufeng Zhang, Shaoyang Duan, Hong Wen, Liangyue Li, Nan Li, Yu Gu, Ge Yu

This paper proposes the User Viewing Flow Modeling (SINGLE) method for the article recommendation task, which models the user constant preference and instant interest from user-clicked articles.

Unlock Multi-Modal Capability of Dense Retrieval via Visual Module Plugin

1 code implementation21 Oct 2023 Tianshuo Zhou, Sen Mei, Xinze Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Ge Yu

Our further analyses show that the visual module plugin method is tailored to enable the image understanding ability for an existing dense retrieval model.

Language Modelling Retrieval

BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys

no code implementations16 Oct 2023 Yu Gu, Jianwei Yang, Naoto Usuyama, Chunyuan Li, Sheng Zhang, Matthew P. Lungren, Jianfeng Gao, Hoifung Poon

In a comprehensive battery of tests on counterfactual medical image generation, BiomedJourney substantially outperforms prior state-of-the-art methods in instruction image editing and medical image generation such as InstructPix2Pix and RoentGen.

counterfactual Denoising +2

ONNXExplainer: an ONNX Based Generic Framework to Explain Neural Networks Using Shapley Values

no code implementations29 Sep 2023 Yong Zhao, Runxin He, Nicholas Kersting, Can Liu, Shubham Agrawal, Chiranjeet Chetia, Yu Gu

SHAP package is a leading implementation of Shapley values to explain neural networks implemented in TensorFlow or PyTorch but lacks cross-platform support, one-shot deployment and is highly inefficient.

DurIAN-E: Duration Informed Attention Network For Expressive Text-to-Speech Synthesis

no code implementations22 Sep 2023 Yu Gu, Yianrao Bian, Guangzhi Lei, Chao Weng, Dan Su

This paper introduces an improved duration informed attention neural network (DurIAN-E) for expressive and high-fidelity text-to-speech (TTS) synthesis.

Denoising Speech Synthesis +1

Rep2wav: Noise Robust text-to-speech Using self-supervised representations

no code implementations28 Aug 2023 Qiushi Zhu, Yu Gu, Rilin Chen, Chao Weng, Yuchen Hu, LiRong Dai, Jie Zhang

Noise-robust TTS models are often trained using the enhanced speech, which thus suffer from speech distortion and background noise that affect the quality of the synthesized speech.

Speech Enhancement

Text Matching Improves Sequential Recommendation by Reducing Popularity Biases

1 code implementation27 Aug 2023 Zhenghao Liu, Sen Mei, Chenyan Xiong, Xiaohua LI, Shi Yu, Zhiyuan Liu, Yu Gu, Ge Yu

TASTE alleviates the cold start problem by representing long-tail items using full-text modeling and bringing the benefits of pretrained language models to recommendation systems.

Sequential Recommendation Text Matching

FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering

1 code implementation23 Aug 2023 Zhenyu Li, Sunqi Fan, Yu Gu, Xiuxing Li, Zhichao Duan, Bowen Dong, Ning Liu, Jianyong Wang

Knowledge base question answering (KBQA) is a critical yet challenging task due to the vast number of entities within knowledge bases and the diversity of natural language questions posed by users.

Knowledge Base Question Answering

AgentBench: Evaluating LLMs as Agents

1 code implementation7 Aug 2023 Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, Jie Tang

We present AgentBench, a multi-dimensional evolving benchmark that currently consists of 8 distinct environments to assess LLM-as-Agent's reasoning and decision-making abilities in a multi-turn open-ended generation setting.

Decision Making Instruction Following

Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events

no code implementations12 Jul 2023 Yu Gu, Sheng Zhang, Naoto Usuyama, Yonas Woldesenbet, Cliff Wong, Praneeth Sanapathi, Mu Wei, Naveen Valluri, Erika Strandberg, Tristan Naumann, Hoifung Poon

We find that while LLMs already possess decent competency in structuring biomedical text, by distillation into a task-specific student model through self-supervised learning, substantial gains can be attained over out-of-box LLMs, with additional advantages such as cost, efficiency, and white-box model access.

Self-Supervised Learning

Mind2Web: Towards a Generalist Agent for the Web

1 code implementation NeurIPS 2023 Xiang Deng, Yu Gu, Boyuan Zheng, Shijie Chen, Samuel Stevens, Boshi Wang, Huan Sun, Yu Su

We introduce Mind2Web, the first dataset for developing and evaluating generalist agents for the web that can follow language instructions to complete complex tasks on any website.

Self-supervised Interest Point Detection and Description for Fisheye and Perspective Images

no code implementations2 Jun 2023 Marcela Mera-Trujillo, Shivang Patel, Yu Gu, Gianfranco Doretto

Keypoint detection and matching is a fundamental task in many computer vision problems, from shape reconstruction, to structure from motion, to AR/VR applications and robotics.

Interest Point Detection Keypoint Detection

Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data

1 code implementation31 May 2023 Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yu Gu, Zhiyuan Liu, Ge Yu

SANTA proposes two pretraining methods to make language models structure-aware and learn effective representations for structured data: 1) Structured Data Alignment, which utilizes the natural alignment relations between structured data and unstructured data for structure-aware pretraining.

Code Search Language Modelling +1

ReSup: Reliable Label Noise Suppression for Facial Expression Recognition

1 code implementation29 May 2023 Xiang Zhang, Yan Lu, Huan Yan, Jingyang Huang, Yusheng Ji, Yu Gu

To further enhance the reliability of our noise decision results, ReSup uses two networks to jointly achieve noise suppression.

Facial Expression Recognition Facial Expression Recognition (FER)

Eeg2vec: Self-Supervised Electroencephalographic Representation Learning

no code implementations23 May 2023 Qiushi Zhu, Xiaoying Zhao, Jie Zhang, Yu Gu, Chao Weng, Yuchen Hu

Recently, many efforts have been made to explore how the brain processes speech using electroencephalographic (EEG) signals, where deep learning-based approaches were shown to be applicable in this field.

EEG Representation Learning

CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network

no code implementations10 Mar 2023 Yumeng Song, Yu Gu, Tianyi Li, Jianzhong Qi, Zhenghao Liu, Christian S. Jensen, Ge Yu

However, recent studies on hypergraph learning that extend graph convolutional networks to hypergraphs cannot learn effectively from features of unlabeled data.

Contrastive Learning Node Classification

Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments

1 code implementation19 Dec 2022 Yu Gu, Xiang Deng, Yu Su

Most existing work for grounded language understanding uses LMs to directly generate plans that can be executed in the environment to achieve the desired effects.

Knowledge Base Question Answering valid

Event-Triggered Extended State Observer Based Distributed Control of Nonlinear Vehicle Platoons

no code implementations16 Sep 2022 Anquan Liu, Tao Li, Yu Gu

Finally, we give the range of the control parameters to ensure the stability of the vehicle platoon system.

Knowledge Base Question Answering: A Semantic Parsing Perspective

no code implementations12 Sep 2022 Yu Gu, Vardaan Pahuja, Gong Cheng, Yu Su

In this survey, we situate KBQA in the broader literature of semantic parsing and give a comprehensive account of how existing KBQA approaches attempt to address the unique challenges.

Knowledge Base Question Answering Semantic Parsing +1

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

These embeddings need to be high-dimensional to fit training signals and guarantee the retrieval effectiveness of dense retrievers.

Dimensionality Reduction Information Retrieval +1

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

1 code implementation COLING 2022 Yu Gu, Yu Su

Question answering on knowledge bases (KBQA) poses a unique challenge for semantic parsing research due to two intertwined challenges: 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 Aspect-Based Sentiment Analysis (ABSA) +3

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 +1

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 +11

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.

Singing Voice Synthesis

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

no code implementations25 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 Vocal Bursts Intensity Prediction

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