Search Results for author: Tao Chen

Found 72 papers, 18 papers with code

Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models

no code implementations25 Jan 2022 Tao Chen, Mingyang Zhang, Jing Lu, Michael Bendersky, Marc Najork

In this work, we carefully select five datasets, including two in-domain datasets and three out-of-domain datasets with different levels of domain shift, and study the generalization of a deep model in a zero-shot setting.

Language Modelling Passage Retrieval

Lifelong Dynamic Optimization for Self-Adaptive Systems: Fact or Fiction?

no code implementations18 Jan 2022 Tao Chen

When faced with changing environment, highly configurable software systems need to dynamically search for promising adaptation plan that keeps the best possible performance, e. g., higher throughput or smaller latency -- a typical planning problem for self-adaptive systems (SASs).

LONViZ: Unboxing the black-box of Configurable Software Systems from a Complex Networks Perspective

no code implementations5 Jan 2022 Ke Li, Peili Mao, Tao Chen

Due to the black-box nature, it is difficult, if not impossible, to analyze and understand its behavior, such as the interaction between combinations of configuration options with regard to the performance, in particular, which is of great importance to advance the controllability of the underlying software system.

Neural Hierarchical Factorization Machines for User's Event Sequence Analysis

no code implementations31 Dec 2021 Dongbo Xi, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu, Qing He

Many prediction tasks of real-world applications need to model multi-order feature interactions in user's event sequence for better detection performance.

Feature-context driven Federated Meta-Learning for Rare Disease Prediction

no code implementations29 Dec 2021 Bingyang Chen, Tao Chen, Xingjie Zeng, Weishan Zhang, Qinghua Lu, Zhaoxiang Hou, Jiehan Zhou, Sumi Helal

Additionally, a dynamic-weight based fusion strategy is proposed to further improve the accuracy of federated learning, which dynamically selects clients based on the accuracy of each local model.

Disease Prediction Federated Learning +1

MMO: Meta Multi-Objectivization for Software Configuration Tuning

1 code implementation14 Dec 2021 Tao Chen, Miqing Li

We also demonstrate that the MMO model with the new normalization can consolidate Flash, a recent model-based tuning tool, on 68% of the cases with 1. 22x speedup in general.

CO2Sum:Contrastive Learning for Factual-Consistent Abstractive Summarization

no code implementations2 Dec 2021 Wei Liu, Huanqin Wu, Wenjing Mu, Zhen Li, Tao Chen, Dan Nie

We propose CO2Sum (Contrastive for Consistency), a contrastive learning scheme that can be easily applied on sequence-to-sequence models for factual-consistent abstractive summarization, proving that the model can be fact-aware without modifying the architecture.

Abstractive Text Summarization Contrastive Learning

Point Cloud Instance Segmentation with Semi-supervised Bounding-Box Mining

no code implementations30 Nov 2021 Yongbin Liao, Hongyuan Zhu, Yanggang Zhang, Chuangguan Ye, Tao Chen, Jiayuan Fan

For stage two, the bounding box proposals with SPCR are grouped into some subsets, and the instance masks are mined inside each subset with a novel semantic propagation module and a property consistency graph module.

Instance Segmentation Semantic Segmentation

A System for General In-Hand Object Re-Orientation

no code implementations4 Nov 2021 Tao Chen, Jie Xu, Pulkit Agrawal

The videos of the learned policies are available at: https://taochenshh. github. io/projects/in-hand-reorientation.

Sketch Me A Video

no code implementations10 Oct 2021 Haichao Zhang, Gang Yu, Tao Chen, Guozhong Luo

Video creation has been an attractive yet challenging task for artists to explore.

Fine-grained Identity Preserving Landmark Synthesis for Face Reenactment

no code implementations10 Oct 2021 Haichao Zhang, Youcheng Ben, Weixi Zhang, Tao Chen, Gang Yu, Bin Fu

Recent face reenactment works are limited by the coarse reference landmarks, leading to unsatisfactory identity preserving performance due to the distribution gap between the manipulated landmarks and those sampled from a real person.

Face Reenactment

Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object Detection

no code implementations19 Sep 2021 Bo Zhang, Tao Chen, Bin Wang, Ruoyao Li

Unsupervised domain adaptive object detection aims to adapt a well-trained detector from its original source domain with rich labeled data to a new target domain with unlabeled data.

Object Detection Unsupervised Domain Adaptation

Densely Semantic Enhancement for Domain Adaptive Region-free Detectors

no code implementations30 Aug 2021 Bo Zhang, Tao Chen, Bin Wang, Xiaofeng Wu, Liming Zhang, Jiayuan Fan

Unsupervised domain adaptive object detection aims to adapt a well-trained detector from its original source domain with rich labeled data to a new target domain with unlabeled data.

Object Detection Region Proposal

Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification

no code implementations30 Aug 2021 Yike Wu, Bo Zhang, Gang Yu, Weixi Zhang, Bin Wang, Tao Chen, Jiayuan Fan

The goal of few-shot fine-grained image classification is to recognize rarely seen fine-grained objects in the query set, given only a few samples of this class in the support set.

Fine-Grained Image Classification Semantic correspondence +2

Concept-Based Label Embedding via Dynamic Routing for Hierarchical Text Classification

no code implementations ACL 2021 Xuepeng Wang, Li Zhao, Bing Liu, Tao Chen, Feng Zhang, Di Wang

In this paper, we propose a novel concept-based label embedding method that can explicitly represent the concept and model the sharing mechanism among classes for the hierarchical text classification.

Text Classification

An End-to-End Differentiable Framework for Contact-Aware Robot Design

1 code implementation15 Jul 2021 Jie Xu, Tao Chen, Lara Zlokapa, Michael Foshey, Wojciech Matusik, Shinjiro Sueda, Pulkit Agrawal

Existing methods for co-optimization are limited and fail to explore a rich space of designs.

Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training

no code implementations21 Jun 2021 Tao Chen, Haochen Shi, Liyuan Liu, Siliang Tang, Jian Shao, Zhigang Chen, Yueting Zhuang

In this paper, we propose collaborative adversarial training to improve the data utilization, which coordinates virtual adversarial training (VAT) and adversarial training (AT) at different levels.

Relation Extraction

CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction

no code implementations ACL 2021 Tao Chen, Haizhou Shi, Siliang Tang, Zhigang Chen, Fei Wu, Yueting Zhuang

The journey of reducing noise from distant supervision (DS) generated training data has been started since the DS was first introduced into the relation extraction (RE) task.

Relation Extraction

Dynamic Language Models for Continuously Evolving Content

no code implementations11 Jun 2021 Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork

To this end, we both explore two different vocabulary composition methods, as well as propose three sampling methods which help in efficient incremental training for BERT-like models.

UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction

1 code implementation Findings (ACL) 2021 Huanqin Wu, Wei Liu, Lei LI, Dan Nie, Tao Chen, Feng Zhang, Di Wang

Keyphrase Prediction (KP) task aims at predicting several keyphrases that can summarize the main idea of the given document.

Multi-Objectivizing Software Configuration Tuning (for a single performance concern)

no code implementations31 May 2021 Tao Chen, Miqing Li

Automatically tuning software configuration for optimizing a single performance attribute (e. g., minimizing latency) is not trivial, due to the nature of the configuration systems (e. g., complex landscape and expensive measurement).

Gradient Descent in Materio

no code implementations15 May 2021 Marcus N. Boon, Hans-Christian Ruiz Euler, Tao Chen, Bram van de Ven, Unai Alegre Ibarra, Peter A. Bobbert, Wilfred G. van der Wiel

Here, we demonstrate an efficient and accurate homodyne gradient extraction method for performing gradient descent on the loss function directly in the material system.

LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding

no code implementations16 Apr 2021 Te-Lin Wu, Cheng Li, Mingyang Zhang, Tao Chen, Spurthi Amba Hombaiah, Michael Bendersky

text, table, image) and propose a novel layout-aware multimodal hierarchical framework, LAMPreT, to model the blocks and the whole document.

Residual Model Learning for Microrobot Control

no code implementations1 Apr 2021 Joshua Gruenstein, Tao Chen, Neel Doshi, Pulkit Agrawal

RML provides a general framework for learning from extremely small amounts of interaction data, and our experiments with HAMR clearly demonstrate that RML substantially outperforms existing techniques.

EADNet: Efficient Asymmetric Dilated Network for Semantic Segmentation

no code implementations16 Mar 2021 Qihang Yang, Tao Chen, Jiayuan Fan, Ye Lu, Chongyan Zuo, Qinghua Chi

Due to real-time image semantic segmentation needs on power constrained edge devices, there has been an increasing desire to design lightweight semantic segmentation neural network, to simultaneously reduce computational cost and increase inference speed.

Semantic Segmentation

Noncyclic Geometric Quantum Gates with Smooth Paths via Invariant-based Shortcuts

no code implementations1 Feb 2021 Li-Na Ji, Cheng-Yun Ding, Tao Chen, Zheng-Yuan Xue

Here, we propose a scheme to realize geometric quantum gates with noncyclic and nonadiabatic evolution via invariant-based shortcuts, where universal quantum gates can be induced in one step without path mutation and the gate time is also effectively shortened.

Quantum Physics

Learning to Recover from Failures using Memory

no code implementations1 Jan 2021 Tao Chen, Pulkit Agrawal

Learning from past mistakes is a quintessential aspect of intelligence.

Decision Making Meta-Learning

TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis

no code implementations31 Dec 2020 Haisong Zhang, Lemao Liu, Haiyun Jiang, Yangming Li, Enbo Zhao, Kun Xu, Linfeng Song, Suncong Zheng, Botong Zhou, Jianchen Zhu, Xiao Feng, Tao Chen, Tao Yang, Dong Yu, Feng Zhang, Zhanhui Kang, Shuming Shi

This technique report introduces TexSmart, a text understanding system that supports fine-grained named entity recognition (NER) and enhanced semantic analysis functionalities.

Named Entity Recognition NER

In silico study of the lipophilicity of the follicular route during topical drug delivery

no code implementations4 Dec 2020 Daniel Sebastia-Saez, Panayiotis Kattou, Guoping Lian, Liang Cui, Tao Chen

The results obtained with the follicular gap filled with water give satisfactory quantitative comparison with in vitro experimental data.

Numerical analysis of the strain distribution in skin domes formed upon the application of hypobaric pressure

no code implementations26 Oct 2020 Daniel Sebastia-Saez, Faiza Benaouda, Charlie Lim, Guoping Lian, Stuart Jones, Tao Chen, Liang Cui

Suction cups are widely used in applications such as in measurement of mechanical properties of skin in vivo, in drug delivery devices or in acupuncture treatment.

M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging

no code implementations7 Oct 2020 Xuelin Qian, Huazhu Fu, Weiya Shi, Tao Chen, Yanwei Fu, Fei Shan, xiangyang xue

To counter the outbreak of COVID-19, the accurate diagnosis of suspected cases plays a crucial role in timely quarantine, medical treatment, and preventing the spread of the pandemic.

PIDNet: An Efficient Network for Dynamic Pedestrian Intrusion Detection

no code implementations1 Sep 2020 Jingchen Sun, Jiming Chen, Tao Chen, Jiayuan Fan, Shibo He

Vision-based dynamic pedestrian intrusion detection (PID), judging whether pedestrians intrude an area-of-interest (AoI) by a moving camera, is an important task in mobile surveillance.

Intrusion Detection

A Design of Cooperative Overtaking Based on Complex Lane Detection and Collision Risk Estimation

no code implementations11 Aug 2020 Junlan Chen, Ke Wang, Huanhuan Bao, Tao Chen

Cooperative overtaking is believed to have the capability of improving road safety and traffic efficiency by means of the real-time information exchange between traffic participants, including road infrastructures, nearby vehicles and others.

Lane Detection

Information Freshness-Aware Task Offloading in Air-Ground Integrated Edge Computing Systems

no code implementations15 Jul 2020 Xianfu Chen, Celimuge Wu, Tao Chen, Zhi Liu, Honggang Zhang, Mehdi Bennis, Hang Liu, Yusheng Ji

Using the proposed deep RL scheme, each MU in the system is able to make decisions without a priori statistical knowledge of dynamics.

Edge-computing

Do not forget interaction: Predicting fatality of COVID-19 patients using logistic regression

no code implementations30 Jun 2020 Feng Zhou, Tao Chen, Baiying Lei

Amid the ongoing COVID-19 pandemic, whether COVID-19 patients with high risks can be recovered or not depends, to a large extent, on how early they will be treated appropriately before irreversible consequences are caused to the patients by the virus.

GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals

1 code implementation16 Jun 2020 Yimin Hou, Shuyue Jia, Xiangmin Lun, Shu Zhang, Tao Chen, Fang Wang, Jinglei Lv

To conclude, the GCNs-Net filters EEG signals based on the functional topological relationship, which manages to decode relevant features for brain motor imagery.

EEG

Context-Based Quotation Recommendation

no code implementations17 May 2020 Ansel MacLaughlin, Tao Chen, Burcu Karagol Ayan, Dan Roth

Our experiments confirm the strong performance of BERT-based methods on this task, which outperform bag-of-words and neural ranking baselines by more than 30% relative across all ranking metrics.

Open-Domain Question Answering

Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognition

1 code implementation2 May 2020 Yimin Hou, Shuyue Jia, Xiangmin Lun, Shu Zhang, Tao Chen, Fang Wang, Jinglei Lv

The introduced deep feature mining approach can precisely recognize human motion intents from raw EEG signals, which paves the road to translate the EEG based MI recognition to practical BCI systems.

EEG

JMNet: A joint matting network for automatic human matting

no code implementations14 Apr 2020 Xian Wu, Xiao-Nan Fang, Tao Chen, Fang-Lue Zhang

We propose a novel end-to-end deep learning framework, the Joint Matting Network (JMNet), to automatically generate alpha mattes for human images.

Matting Pose Estimation

Coarse-to-Fine Gaze Redirection with Numerical and Pictorial Guidance

1 code implementation7 Apr 2020 Jingjing Chen, Jichao Zhang, Enver Sangineto, Jiayuan Fan, Tao Chen, Nicu Sebe

In this paper, we propose to alleviate these problems by means of a novel gaze redirection framework which exploits both a numerical and a pictorial direction guidance, jointly with a coarse-to-fine learning strategy.

gaze redirection Image Generation

Cascade EF-GAN: Progressive Facial Expression Editing with Local Focuses

no code implementations CVPR 2020 Rongliang Wu, Gongjie Zhang, Shijian Lu, Tao Chen

Recent advances in Generative Adversarial Nets (GANs) have shown remarkable improvements for facial expression editing.

How to Evaluate Solutions in Pareto-based Search-Based Software Engineering? A Critical Review and Methodological Guidance

1 code implementation20 Feb 2020 Miqing Li, Tao Chen, Xin Yao

We then conduct an in-depth analysis of quality evaluation indicators/methods and general situations in SBSE, which, together with the identified issues, enables us to codify a methodological guidance for selecting and using evaluation methods in different SBSE scenarios.

Multiobjective Optimization

Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study

1 code implementation8 Feb 2020 Ke Li, Zilin Xiang, Tao Chen, Shuo Wang, Kay Chen Tan

Given a tight computational budget, it is more cost-effective to focus on optimizing the parameter configuration of transfer learning algorithms (3) The research on CPDP is far from mature where it is "not difficult" to find a better alternative by making a combination of existing transfer learning and classification techniques.

Transfer Learning

Search-Based Software Engineering for Self-Adaptive Systems: Survey, Disappointments, Suggestions and Opportunities

1 code implementation22 Jan 2020 Tao Chen, Miqing Li, Ke Li, Kalyanmoy Deb

In this paper, we provide the first systematic and comprehensive survey exclusively on SBSE for SASs, covering papers in 27 venues from 7 repositories, which eventually leads to several key statistics from the most notable 74 primary studies in this particular field of research.

Synergizing Domain Expertise with Self-Awareness in Software Systems: A Patternized Architecture Guideline

no code implementations20 Jan 2020 Tao Chen, Rami Bahsoon, Xin Yao

To promote engineering self-aware and self-adaptive software systems in a reusable manner, architectural patterns and the related methodology provide an unified solution to handle the recurring problems in the engineering process.

Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition

no code implementations17 Jan 2020 Wenxuan Wang, Yanwei Fu, Qiang Sun, Tao Chen, Chenjie Cao, Ziqi Zheng, Guoqiang Xu, Han Qiu, Yu-Gang Jiang, xiangyang xue

Considering the phenomenon of uneven data distribution and lack of samples is common in real-world scenarios, we further evaluate several tasks of few-shot expression learning by virtue of our F2ED, which are to recognize the facial expressions given only few training instances.

Facial Expression Recognition

A Gegenbauer Neural Network with Regularized Weights Direct Determination for Classification

no code implementations25 Oct 2019 Jie He, Tao Chen, Zhijun Zhang

Single-hidden layer feed forward neural networks (SLFNs) are widely used in pattern classification problems, but a huge bottleneck encountered is the slow speed and poor performance of the traditional iterative gradient-based learning algorithms.

General Classification Multi-class Classification

Age of Information-Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective

no code implementations6 Aug 2019 Xianfu Chen, Celimuge Wu, Tao Chen, Honggang Zhang, Zhi Liu, Yan Zhang, Mehdi Bennis

In this paper, we investigate the problem of age of information (AoI)-aware radio resource management for expected long-term performance optimization in a Manhattan grid vehicle-to-vehicle network.

Decision Making

SParC: Cross-Domain Semantic Parsing in Context

5 code implementations ACL 2019 Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir Radev

The best model obtains an exact match accuracy of 20. 2% over all questions and less than10% over all interaction sequences, indicating that the cross-domain setting and the con-textual phenomena of the dataset present significant challenges for future research.

Semantic Parsing Text-To-Sql

On Using Retrained and Incremental Machine Learning for Modeling Performance of Adaptable Software: An Empirical Comparison

no code implementations25 Mar 2019 Tao Chen

Given the ever-increasing complexity of adaptable software systems and their commonly hidden internal information (e. g., software runs in the public cloud), machine learning based performance modeling has gained momentum for evaluating, understanding and predicting software performance, which facilitates better informed self-adaptations.

Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors

2 code implementations11 Mar 2019 Artem Molchanov, Tao Chen, Wolfgang Hönig, James A. Preiss, Nora Ayanian, Gaurav S. Sukhatme

Quadrotor stabilizing controllers often require careful, model-specific tuning for safe operation.

Robotics

Hardware Conditioned Policies for Multi-Robot Transfer Learning

1 code implementation NeurIPS 2018 Tao Chen, Adithyavairavan Murali, Abhinav Gupta

In tasks where knowing the agent dynamics is important for success, we learn an embedding for robot hardware and show that policies conditioned on the encoding of hardware tend to generalize and transfer well.

Industrial Robots Transfer Reinforcement Learning

Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model

no code implementations2 May 2018 Feng Zhou, Shu Kong, Charless Fowlkes, Tao Chen, Baiying Lei

Specifically, we first mapped facial expressions into dimensional measures so that we transformed facial expression analysis from a classification problem to a regression one.

General Classification

A Comparison of Word Embeddings for English and Cross-Lingual Chinese Word Sense Disambiguation

no code implementations WS 2016 Hong Jin Kang, Tao Chen, Muthu Kumar Chandrasekaran, Min-Yen Kan

Thus we have also applied word embeddings to the novel task of cross-lingual WSD for Chinese and provide a public dataset for further benchmarking.

Translation Word Embeddings +1

Multilingual Visual Sentiment Concept Matching

no code implementations7 Jun 2016 Nikolaos Pappas, Miriam Redi, Mercan Topkara, Brendan Jou, Hongyi Liu, Tao Chen, Shih-Fu Chang

The impact of culture in visual emotion perception has recently captured the attention of multimedia research.

Word Embeddings

Visual Affect Around the World: A Large-scale Multilingual Visual Sentiment Ontology

no code implementations16 Aug 2015 Brendan Jou, Tao Chen, Nikolaos Pappas, Miriam Redi, Mercan Topkara, Shih-Fu Chang

Our work expressly focuses on the uniqueness of culture and language in relation to human affect, specifically sentiment and emotion semantics, and how they manifest in social multimedia.

DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks

1 code implementation30 Oct 2014 Tao Chen, Damian Borth, Trevor Darrell, Shih-Fu Chang

Nearly one million Flickr images tagged with these ANPs are downloaded to train the classifiers of the concepts.

General Classification

Latent Tree Models and Approximate Inference in Bayesian Networks

no code implementations15 Jan 2014 Yi Wang, Nevin L. Zhang, Tao Chen

We propose a novel method for approximate inference in Bayesian networks (BNs).

Sketch2Photo: Internet Image Montage

no code implementations ACM Transactions on Graphics 2009 Tao Chen, Ming-Ming Cheng, Ping Tan, Ariel Shamir, Shi-Min Hu

The composed picture is generated by seamlessly stitching several photographs in agreement with the sketch and text labels; these are found by searching the Internet.

Image Retrieval

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