Search Results for author: Yang Liu

Found 598 papers, 170 papers with code

Interpolation between CNNs and ResNets

no code implementations ICML 2020 Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi

Although ordinary differential equations (ODEs) provide insights for designing networks architectures, its relationship with the non-residual convolutional neural networks (CNNs) is still unclear.

Adversarial Attack Image Classification

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.

Exploring Word Segmentation and Medical Concept Recognition for Chinese Medical Texts

1 code implementation NAACL (BioNLP) 2021 Yang Liu, Yuanhe Tian, Tsung-Hui Chang, Song Wu, Xiang Wan, Yan Song

Chinese word segmentation (CWS) and medical concept recognition are two fundamental tasks to process Chinese electronic medical records (EMRs) and play important roles in downstream tasks for understanding Chinese EMRs.

Chinese Word Segmentation Model Selection

Modeling Entity Knowledge for Fact Verification

no code implementations EMNLP (FEVER) 2021 Yang Liu, Chenguang Zhu, Michael Zeng

Fact verification is a challenging task of identifying the truthfulness of given claims based on the retrieval of relevant evidence texts.

Fact Verification

Effective Convolutional Attention Network for Multi-label Clinical Document Classification

no code implementations EMNLP 2021 Yang Liu, Hua Cheng, Russell Klopfer, Matthew R. Gormley, Thomas Schaaf

Multi-label document classification (MLDC) problems can be challenging, especially for long documents with a large label set and a long-tail distribution over labels.

Document Classification Medical Code Prediction

Self-Supervised Quality Estimation for Machine Translation

no code implementations EMNLP 2021 Yuanhang Zheng, Zhixing Tan, Meng Zhang, Mieradilijiang Maimaiti, Huanbo Luan, Maosong Sun, Qun Liu, Yang Liu

Quality estimation (QE) of machine translation (MT) aims to evaluate the quality of machine-translated sentences without references and is important in practical applications of MT.

Machine Translation Translation

DialogSum Challenge: Summarizing Real-Life Scenario Dialogues

no code implementations INLG (ACL) 2021 Yulong Chen, Yang Liu, Yue Zhang

We propose a shared task on summarizing real-life scenario dialogues, DialogSum Challenge, to encourage researchers to address challenges in dialogue summarization, which has been less studied by the summarization community.

Common Sense Reasoning Representation Learning

Multi-Sentence Knowledge Selection in Open-Domain Dialogue

no code implementations INLG (ACL) 2021 Mihail Eric, Nicole Chartier, Behnam Hedayatnia, Karthik Gopalakrishnan, Pankaj Rajan, Yang Liu, Dilek Hakkani-Tur

Incorporating external knowledge sources effectively in conversations is a longstanding problem in open-domain dialogue research.

中美学者学术英语写作中词汇难度特征比较研究——以计算语言学领域论文为例(A Comparative Study of the Features of Lexical Sophistication in Academic English Writing by Chinese and American)

no code implementations CCL 2021 Yonghui Xie, Yang Liu, Erhong Yang, Liner Yang

“学术英语写作在国际学术交流中的作用日益凸显, 然而对于英语非母语者, 学术英语写作是困难的, 为此本文对计算语言领域中美学者学术英语写作中词汇难度特征做比较研究。自构建1132篇中美论文全文语料库, 统计语料中484个词汇难度特征值。经过特征筛选与因子分析的降维处理得到表现较好的五个维度。最后计算中美学者论文的维度分从而比较差异, 发现美国学者的论文相较中国学者的论文中词汇单位更具常用性、二元词串更具稳固性、三元词串更具稳固性、虚词更具复杂性、词类更具关联性。主要原因在于统计特征值时借助的外部资源库与美国学者的论文更贴近, 且中国学者没有完全掌握该领域学术写作的习惯。因此, 中国学者可充分利用英语本族语者构建的资源库, 从而产出更为地道与流利的学术英语论文。”

基于词信息嵌入的汉语构词结构识别研究(Chinese Word-Formation Prediction based on Representations of Word-Related Features)

no code implementations CCL 2021 Hua Zheng, Yaqi Yan, Yue Wang, Damai Dai, Yang Liu

“作为一种意合型语言, 汉语中的构词结构刻画了构词成分之间的组合关系, 是认知、理解词义的关键。在中文信息处理领域, 此前的构词结构识别工作大多沿用句法层面的粗粒度标签, 且主要基于上下文等词间信息建模, 忽略了语素义、词义等词内信息对构词结构识别的作用。本文采用语言学视域下的构词结构标签体系, 构建汉语构词结构及相关信息数据集, 提出了一种基于Bi-LSTM和Self-attention的模型, 以此来探究词内、词间等多方面信息对构词结构识别的潜在影响和能达到的性能。实验取得了良好的预测效果, 准确率77. 87%, F1值78. 36%;同时, 对比测试揭示, 词内的语素义信息对构词结构识别具有显著的贡献, 而词间的上下文信息贡献较弱且带有较强的不稳定性。该预测方法与数据集, 将为中文信息处理的多种任务, 如语素和词结构分析、词义识别与生成、语言文字研究与词典编纂等提供新的观点和方案。”

Personalized Entity Resolution with Dynamic Heterogeneous KnowledgeGraph Representations

no code implementations ACL (ECNLP) 2021 Ying Lin, Han Wang, Jiangning Chen, Tong Wang, Yue Liu, Heng Ji, Yang Liu, Premkumar Natarajan

We first build a cross-source heterogeneous knowledge graph from customer purchase history and product knowledge graph to jointly learn customer and product embeddings.

Entity Resolution

Amplifying Key Cues for Human-Object-Interaction Detection

no code implementations ECCV 2020 Yang Liu, Qingchao Chen, Andrew Zisserman

In this paper we introduce two methods to amplify key cues in the image, and also a method to combine these and other cues when considering the interaction between a human and an object.

Human-Object Interaction Detection

Neighboring Backdoor Attacks on Graph Convolutional Network

no code implementations17 Jan 2022 Liang Chen, Qibiao Peng, Jintang Li, Yang Liu, Jiawei Chen, Yong Li, Zibin Zheng

To address such a challenge, we set the trigger as a single node, and the backdoor is activated when the trigger node is connected to the target node.

Masked Faces with Faced Masks

no code implementations17 Jan 2022 JiaYi Zhu, Qing Guo, Felix Juefei-Xu, Yihao Huang, Yang Liu, Geguang Pu

The proposed method unveils the vulnerability of the FRS when dealing with masked faces wearing faced masks.

ALA: Adversarial Lightness Attack via Naturalness-aware Regularizations

no code implementations16 Jan 2022 Liangru Sun, Felix Juefei-Xu, Yihao Huang, Qing Guo, JiaYi Zhu, Jincao Feng, Yang Liu, Geguang Pu

To generate unrestricted adversarial examples with high image quality and good transferability, in this paper, we propose Adversarial Lightness Attack (ALA), a white-box unrestricted adversarial attack that focuses on modifying the lightness of the images.

HYLDA: End-to-end Hybrid Learning Domain Adaptation for LiDAR Semantic Segmentation

no code implementations14 Jan 2022 Eduardo R. Corral-Soto, Mrigank Rochan, Yannis Y. He, Shubhra Aich, Yang Liu, Liu Bingbing

We demonstrate experimentally that HYLDA effectively addresses the challenging problem of improving generalization on validation data from the target domain when only a few target labeled frames are available for training.

Domain Adaptation Image-to-Image Translation +3

Multi-granularity Relabeled Under-sampling Algorithm for Imbalanced Data

no code implementations11 Jan 2022 Qi Dai, Jian-wei Liu, Yang Liu

The Tomek-Link sampling algorithm can effectively reduce the class overlap on data, remove the majority instances that are difficult to distinguish, and improve the algorithm classification accuracy.

imbalanced classification

Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization

no code implementations8 Jan 2022 Chong Peng, Yang Liu, Yongyong Chen, Xinxin Wu, Andrew Cheng, Zhao Kang, Chenglizhao Chen, Qiang Cheng

In this paper, we propose a novel nonconvex approach to robust principal component analysis for HSI denoising, which focuses on simultaneously developing more accurate approximations to both rank and column-wise sparsity for the low-rank and sparse components, respectively.

Hyperspectral Image Denoising Image Denoising

Exploring Motion and Appearance Information for Temporal Sentence Grounding

no code implementations3 Jan 2022 Daizong Liu, Xiaoye Qu, Pan Zhou, Yang Liu

Then, we develop separate motion and appearance branches to learn motion-guided and appearance-guided object relations, respectively.

Object Detection

OpenQA: Hybrid QA System Relying on Structured Knowledge Base as well as Non-structured Data

no code implementations31 Dec 2021 Gaochen Wu, Bin Xu, Yuxin Qin, Yang Liu, Lingyu Liu, Ziwei Wang

Search engines based on keyword retrieval can no longer adapt to the way of information acquisition in the era of intelligent Internet of Things due to the return of keyword related Internet pages.

Answer Selection Machine Reading Comprehension +2

A Framework for the Joint Optimization of Assignment and Pricing in Mobility-on-Demand Systems with Shared Rides

no code implementations28 Dec 2021 Yang Liu, Qi Luo, Raga Gopalakrishnan, Samitha Samaranayake

Mobility-on-Demand (MoD) systems have become a fixture in urban transportation networks, with the rapid growth of ride-hailing services such as Uber and Lyft.

Cross Modal Retrieval with Querybank Normalisation

1 code implementation23 Dec 2021 Simion-Vlad Bogolin, Ioana Croitoru, Hailin Jin, Yang Liu, Samuel Albanie

In this work we first show that, despite their effectiveness, state-of-the-art joint embeddings suffer significantly from the longstanding hubness problem in which a small number of gallery embeddings form the nearest neighbours of many queries.

Cross-Modal Retrieval Metric Learning +2

A Label Dependence-aware Sequence Generation Model for Multi-level Implicit Discourse Relation Recognition

1 code implementation22 Dec 2021 Changxing Wu, Liuwen Cao, Yubin Ge, Yang Liu, Min Zhang, Jinsong Su

Then, we employ a label sequence decoder to output the predicted labels in a top-down manner, where the predicted higher-level labels are directly used to guide the label prediction at the current level.

Analyzing the Limits of Self-Supervision in Handling Bias in Language

no code implementations16 Dec 2021 Lisa Bauer, Karthik Gopalakrishnan, Spandana Gella, Yang Liu, Mohit Bansal, Dilek Hakkani-Tur

We define three broad classes of task descriptions for these tasks: statement, question, and completion, with numerous lexical variants within each class.

Probability Density Estimation Based Imitation Learning

no code implementations13 Dec 2021 Yang Liu, Yongzhe Chang, Shilei Jiang, Xueqian Wang, Bin Liang, Bo Yuan

In general, IL methods can be categorized into Behavioral Cloning (BC) and Inverse Reinforcement Learning (IRL).

Density Estimation Imitation Learning

Defending Label Inference and Backdoor Attacks in Vertical Federated Learning

no code implementations10 Dec 2021 Yang Liu, Zhihao Yi, Yan Kang, Yuanqin He, Wenhan Liu, Tianyuan Zou, Qiang Yang

To the best of our knowledge, this is the first systematic study to deal with label inference and backdoor attacks in the feature-partitioned federated learning framework.

Federated Learning

CMA-CLIP: Cross-Modality Attention CLIP for Image-Text Classification

no code implementations7 Dec 2021 Huidong Liu, Shaoyuan Xu, Jinmiao Fu, Yang Liu, Ning Xie, Chien-Chih Wang, Bryan Wang, Yi Sun

In this paper, we propose the Cross-Modality Attention Contrastive Language-Image Pre-training (CMA-CLIP), a new framework which unifies two types of cross-modality attentions, sequence-wise attention and modality-wise attention, to effectively fuse information from image and text pairs.

Text Classification

TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning

2 code implementations7 Dec 2021 Yang Liu, Keze Wang, Lingbo Liu, Haoyuan Lan, Liang Lin

To overcome these limitations, we take advantage of the multi-scale temporal dependencies within videos and proposes a novel video self-supervised learning framework named Temporal Contrastive Graph Learning (TCGL), which jointly models the inter-snippet and intra-snippet temporal dependencies for temporal representation learning with a hybrid graph contrastive learning strategy.

Action Recognition Contrastive Learning +4

Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents

no code implementations6 Dec 2021 Andrew Estornell, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik

These conditions are related to the the way in which the fair classifier remedies unfairness on the original unmanipulated data: fair classifiers which remedy unfairness by becoming more selective than their conventional counterparts are the ones that become less fair than their counterparts when agents are strategic.

Decision Making Fairness

TransZero: Attribute-guided Transformer for Zero-Shot Learning

1 code implementation3 Dec 2021 Shiming Chen, Ziming Hong, Yang Liu, Guo-Sen Xie, Baigui Sun, Hao Li, Qinmu Peng, Ke Lu, Xinge You

Although some attention-based models have attempted to learn such region features in a single image, the transferability and discriminative attribute localization of visual features are typically neglected.

Zero-Shot Learning

A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation

no code implementations2 Dec 2021 Ziyuan Zhong, Yun Tang, Yuan Zhou, Vania de Oliveira Neves, Yang Liu, Baishakhi Ray

To bridge this gap, in this work, we provide a generic formulation of scenario-based testing in high-fidelity simulation and conduct a literature review on the existing works.

Effective and efficient structure learning with pruning and model averaging strategies

no code implementations1 Dec 2021 Anthony C. Constantinou, Yang Liu, Neville K. Kitson, Kiattikun Chobtham, Zhigao Guo

Learning the structure of a Bayesian Network (BN) with score-based solutions involves exploring the search space of possible graphs and moving towards the graph that maximises a given objective function.

Anonymization for Skeleton Action Recognition

no code implementations30 Nov 2021 Myeonghyeon Kim, Zhenyue Qin, Yang Liu, Dongwoo Kim

Compared with RGB-video-based action recognition, skeleton-based action recognition is a safer way to protect the privacy of subjects while having competitive recognition performance.

Action Recognition Skeleton Based Action Recognition

Benchmarking Shadow Removal for Facial Landmark Detection and Beyond

no code implementations27 Nov 2021 Lan Fu, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Wei Feng, Yang Liu, Song Wang

The observation of this work motivates us to design a novel detection-aware shadow removal framework, which empowers shadow removal to achieve higher restoration quality and enhance the shadow robustness of deployed facial landmark detectors.

Facial Landmark Detection Shadow Removal

AdvBokeh: Learning to Adversarially Defocus Blur

no code implementations25 Nov 2021 Yihao Huang, Felix Juefei-Xu, Qing Guo, Weikai Miao, Yang Liu, Geguang Pu

Bokeh effect is a natural shallow depth-of-field phenomenon that blurs the out-of-focus part in photography.

Deblurring Image Classification

Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability

no code implementations22 Nov 2021 Yan Kang, Yang Liu, Yuezhou Wu, Guoqiang Ma, Qiang Yang

We present a novel privacy-preserving federated adversarial domain adaptation approach ($\textbf{PrADA}$) to address an under-studied but practical cross-silo federated domain adaptation problem, in which the party of the target domain is insufficient in both samples and features.

Domain Adaptation Federated Learning

A Survey of Visual Transformers

no code implementations11 Nov 2021 Yang Liu, Yao Zhang, Yixin Wang, Feng Hou, Jin Yuan, Jiang Tian, Yang Zhang, Zhongchao shi, Jianping Fan, Zhiqiang He

Transformer, an attention-based encoder-decoder architecture, has revolutionized the field of natural language processing.

GraphSearchNet: Enhancing GNNs via Capturing Global Dependency for Semantic Code Search

1 code implementation4 Nov 2021 Shangqing Liu, Xiaofei Xie, JingKai Siow, Lei Ma, Guozhu Meng, Yang Liu

In this paper, to address these challenges, we design a novel neural network framework, named GraphSearchNet, to enable an effective and accurate source code search by jointly learning rich semantics of both source code and natural language queries.

Code Search

Unintended Selection: Persistent Qualification Rate Disparities and Interventions

no code implementations NeurIPS 2021 Reilly Raab, Yang Liu

Each agent alternately (1) receives a binary classification label $\hat{Y}$ (e. g., loan approval) from a Bayes-optimal machine learning classifier observing $X$ and (2) may update their qualification $Y$ by imitating successful strategies (e. g., seek a raise) within an isolated group $G$ of agents to which they belong.

Credit score Fairness

Deconvolutional Networks on Graph Data

no code implementations NeurIPS 2021 Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng

In this paper, we consider an inverse problem in graph learning domain -- ``given the graph representations smoothed by Graph Convolutional Network (GCN), how can we reconstruct the input graph signal?"

Graph Convolutional Network Graph Learning +1

BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network

no code implementations26 Oct 2021 Jialun Wu, Yang Liu, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li

To address this issue, we propose Biomedical Information Extraction, a hybrid neural network to extract relations from biomedical text and unstructured medical reports.

Graph Convolutional Network Knowledge Graphs +1

Adaptive Data Debiasing through Bounded Exploration and Fairness

no code implementations25 Oct 2021 Yifan Yang, Yang Liu, Parinaz Naghizadeh

Biases in existing datasets used to train algorithmic decision rules can raise ethical, societal, and economic concerns due to the resulting disparate treatment of different groups.


Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations

no code implementations22 Oct 2021 Jiaheng Wei, Zhaowei Zhu, Hao Cheng, Tongliang Liu, Gang Niu, Yang Liu

These observations require us to rethink the treatment of noisy labels, and we hope the availability of these two datasets would facilitate the development and evaluation of future learning with noisy label solutions.

Learning with noisy labels

FedGEMS: Federated Learning of Larger Server Models via Selective Knowledge Fusion

no code implementations21 Oct 2021 Sijie Cheng, Jingwen Wu, Yanghua Xiao, Yang Liu

Today data is often scattered among billions of resource-constrained edge devices with security and privacy constraints.

Federated Learning Image Classification

A Framework for Measures of Risk under Uncertainty

no code implementations20 Oct 2021 Tolulope Fadina, Yang Liu, Ruodu Wang

A risk analyst assesses potential financial losses based on multiple sources of information.

Demystifying How Self-Supervised Features Improve Training from Noisy Labels

1 code implementation18 Oct 2021 Hao Cheng, Zhaowei Zhu, Xing Sun, Yang Liu

We hope our work provides a better understanding for learning with noisy labels from the perspective of self-supervised learning and can potentially serve as a guideline for further research.

Learning with noisy labels Self-Supervised Learning

End-to-End Segmentation-based News Summarization

no code implementations15 Oct 2021 Yang Liu, Chenguang Zhu, Michael Zeng

In this paper, we bring a new way of digesting news content by introducing the task of segmenting a news article into multiple sections and generating the corresponding summary to each section.

Text Generation

DirectQuote: A Dataset for Direct Quotation Extraction and Attribution in News Articles

1 code implementation15 Oct 2021 Yuanchi Zhang, Yang Liu

Applying this task to news data is highly related to fact-checking, media monitoring and news tracking.

Fact Checking

MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators

no code implementations13 Oct 2021 Zhixing Tan, Xiangwen Zhang, Shuo Wang, Yang Liu

During each stage, we independently apply different continuous prompts for allowing pre-trained language models better adapting to translation tasks.

Machine Translation Translation

The Rich Get Richer: Disparate Impact of Semi-Supervised Learning

1 code implementation12 Oct 2021 Zhaowei Zhu, Tianyi Luo, Yang Liu

Semi-supervised learning (SSL) has demonstrated its potential to improve the model accuracy for a variety of learning tasks when the high-quality supervised data is severely limited.

Fairness Text Classification

A Good Representation Detects Noisy Labels

1 code implementation12 Oct 2021 Zhaowei Zhu, Zihao Dong, Hao Cheng, Yang Liu

In this paper, given good representations, we propose a universally applicable and training-free solution to detect noisy labels.

Rome was built in 1776: A Case Study on Factual Correctness in Knowledge-Grounded Response Generation

no code implementations11 Oct 2021 Sashank Santhanam, Behnam Hedayatnia, Spandana Gella, Aishwarya Padmakumar, Seokhwan Kim, Yang Liu, Dilek Hakkani-Tur

We demonstrate the benefit of our Conv-FEVER dataset by showing that the models trained on this data perform reasonably well to detect factually inconsistent responses with respect to the provided knowledge through evaluation on our human annotated data.

Cross-modal Knowledge Distillation for Vision-to-Sensor Action Recognition

no code implementations8 Oct 2021 Jianyuan Ni, Raunak Sarbajna, Yang Liu, Anne H. H. Ngu, Yan Yan

Human activity recognition (HAR) based on multi-modal approach has been recently shown to improve the accuracy performance of HAR.

Action Recognition Knowledge Distillation +1

HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning

1 code implementation NeurIPS 2021 Shiming Chen, Guo-Sen Xie, Yang Liu, Qinmu Peng, Baigui Sun, Hao Li, Xinge You, Ling Shao

Specifically, HSVA aligns the semantic and visual domains by adopting a hierarchical two-step adaptation, i. e., structure adaptation and distribution adaptation.

Transfer Learning Zero-Shot Learning

A Novel Watermarking Framework for Ownership Verification of DNN Architectures

no code implementations29 Sep 2021 Xiaoxuan Lou, Shangwei Guo, Tianwei Zhang, Jiwei Li, Yinqian Zhang, Yang Liu

We present a novel watermarking scheme to achieve the intellectual property (IP) protection and ownership verification of DNN architectures.

Model extraction Neural Architecture Search

Unsupervised Domain Adaptation By Optimal Transportation Of Clusters Between Domains

no code implementations29 Sep 2021 Yang Liu, Zhipeng Zhou, Lei Shang, Baigui Sun, Hao Li, Rong Jin

Unsupervised domain adaptation (UDA) aims to transfer the knowledge from a labeled source domain to an unlabeled target domain.

Transfer Learning Unsupervised Domain Adaptation

ERNIE-SPARSE: Robust Efficient Transformer Through Hierarchically Unifying Isolated Information

no code implementations29 Sep 2021 Yang Liu, Jiaxiang Liu, Yuxiang Lu, Shikun Feng, Yu Sun, Zhida Feng, Li Chen, Hao Tian, Hua Wu, Haifeng Wang

The first factor is information bottleneck sensitivity, which is caused by the key feature of Sparse Transformer — only a small number of global tokens can attend to all other tokens.

Text Classification

Learning to Selectively Learn for Weakly-supervised Paraphrase Generation

no code implementations EMNLP 2021 Kaize Ding, Dingcheng Li, Alexander Hanbo Li, Xing Fan, Chenlei Guo, Yang Liu, Huan Liu

In this work, we go beyond the existing paradigms and propose a novel approach to generate high-quality paraphrases with weak supervision data.

Language Modelling Meta-Learning +1

A survey of Bayesian Network structure learning

no code implementations23 Sep 2021 Neville K. Kitson, Anthony C. Constantinou, Zhigao Guo, Yang Liu, Kiattikun Chobtham

This paper provides a comprehensive review of combinatoric algorithms proposed for learning BN structure from data, describing 61 algorithms including prototypical, well-established and state-of-the-art approaches.


Non-smooth Bayesian Optimization in Tuning Problems

1 code implementation15 Sep 2021 Hengrui Luo, James W. Demmel, Younghyun Cho, Xiaoye S. Li, Yang Liu

By using this surrogate model, we want to capture the non-smoothness of the black-box function.

Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search

1 code implementation EMNLP 2021 Jialu Wang, Yang Liu, Xin Eric Wang

Internet search affects people's cognition of the world, so mitigating biases in search results and learning fair models is imperative for social good.

Image Retrieval

DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization

1 code implementation6 Sep 2021 Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng

For a dialogue, it corrupts a window of text with dialogue-inspired noise, and guides the model to reconstruct this window based on the content of the remaining conversation.

Denoising Dialogue Understanding +1

GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning

1 code implementation5 Sep 2021 Zelei Liu, YuanYuan Chen, Han Yu, Yang Liu, Lizhen Cui

In addition, we design a guided Monte Carlo sampling approach combined with within-round and between-round truncation to further reduce the number of model reconstructions and evaluations required, through extensive experiments under diverse realistic data distribution settings.

Federated Learning

SEC4SR: A Security Analysis Platform for Speaker Recognition

1 code implementation4 Sep 2021 Guangke Chen, Zhe Zhao, Fu Song, Sen Chen, Lingling Fan, Yang Liu

To bridge this gap, we present SEC4SR, the first platform enabling researchers to systematically and comprehensively evaluate adversarial attacks and defenses in SR. SEC4SR incorporates 4 white-box and 2 black-box attacks, 24 defenses including our novel feature-level transformations.

Speaker Recognition

FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning

no code implementations2 Sep 2021 Zhifeng Jiang, Wei Wang, Yang Liu

Homomorphic encryption (HE) is a promising privacy-preserving technique for cross-silo federated learning (FL), where organizations perform collaborative model training on decentralized data.

Federated Learning

SynthIA: A Synthetic Inversion Approximation for the Stokes Vector Fusing SDO and Hinode into a Virtual Observatory

no code implementations27 Aug 2021 Richard E. L. Higgins, David F. Fouhey, Spiro K. Antiochos, Graham Barnes, Mark C. M. Cheung, J. Todd Hoeksema, KD Leka, Yang Liu, Peter W. Schuck, Tamas I. Gombosi

Both NASA's Solar Dynamics Observatory (SDO) and the JAXA/NASA Hinode mission include spectropolarimetric instruments designed to measure the photospheric magnetic field.

PASTO: Strategic Parameter Optimization in Recommendation Systems -- Probabilistic is Better than Deterministic

no code implementations20 Aug 2021 Weicong Ding, Hanlin Tang, Jingshuo Feng, Lei Yuan, Sen yang, Guangxu Yang, Jie Zheng, Jing Wang, Qiang Su, Dong Zheng, Xuezhong Qiu, Yongqi Liu, Yuxuan Chen, Yang Liu, Chao Song, Dongying Kong, Kai Ren, Peng Jiang, Qiao Lian, Ji Liu

In this setting with multiple and constrained goals, this paper discovers that a probabilistic strategic parameter regime can achieve better value compared to the standard regime of finding a single deterministic parameter.

Recommendation Systems

Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks

1 code implementation ICCV 2021 Yu-Qi Yang, Peng-Shuai Wang, Yang Liu

For fine-grained 3D vision tasks where point-wise features are essential, like semantic segmentation and 3D detection, our network achieves higher prediction accuracy than the existing networks using the nearest neighbor interpolation or the normalized trilinear interpolation with the zero-padding or the octree-padding scheme.

Semantic Segmentation

A 3D Non-Stationary Geometry-Based Stochastic Model for Industrial Automation Wireless Communication Systems

no code implementations14 Aug 2021 Yuxiao Li, Cheng-Xiang Wang, Yang Liu

Industrial automation is one of the key application scenarios of the fifth (5G) wireless communication network.

Understanding Structural Vulnerability in Graph Convolutional Networks

1 code implementation13 Aug 2021 Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng, Carl Yang

In this work, we theoretically and empirically demonstrate that structural adversarial examples can be attributed to the non-robust aggregation scheme (i. e., the weighted mean) of GCNs.

SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection

no code implementations6 Aug 2021 Aiqi Jiang, Xiaohan Yang, Yang Liu, Arkaitz Zubiaga

We propose the first Chinese sexism dataset -- Sina Weibo Sexism Review (SWSR) dataset --, as well as a large Chinese lexicon SexHateLex made of abusive and gender-related terms.

Abusive Language

CarveNet: Carving Point-Block for Complex 3D Shape Completion

no code implementations28 Jul 2021 Qing Guo, Zhijie Wang, Felix Juefei-Xu, Di Lin, Lei Ma, Wei Feng, Yang Liu

3D point cloud completion is very challenging because it heavily relies on the accurate understanding of the complex 3D shapes (e. g., high-curvature, concave/convex, and hollowed-out 3D shapes) and the unknown & diverse patterns of the partially available point clouds.

Data Augmentation Point Cloud Completion

Learning to Adversarially Blur Visual Object Tracking

1 code implementation ICCV 2021 Qing Guo, Ziyi Cheng, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yang Liu, Jianjun Zhao

In this work, we explore the robustness of visual object trackers against motion blur from a new angle, i. e., adversarial blur attack (ABA).

Visual Object Tracking Visual Tracking

Reflection and Relay Dual-Functional RIS Assisted MU-MISO Systems

no code implementations24 Jul 2021 Yanan Ma, Rang Liu, Yang Liu, Ming Li, Qian Liu

Reconfigurable intelligent surfaces (RISs) have been deemed as one of potential components of future wireless communication systems because they can adaptively manipulate the wireless propagation environment with low-cost passive devices.

Cross-Sentence Temporal and Semantic Relations in Video Activity Localisation

no code implementations ICCV 2021 Jiabo Huang, Yang Liu, Shaogang Gong, Hailin Jin

Video activity localisation has recently attained increasing attention due to its practical values in automatically localising the most salient visual segments corresponding to their language descriptions (sentences) from untrimmed and unstructured videos.

AdvFilter: Predictive Perturbation-aware Filtering against Adversarial Attack via Multi-domain Learning

no code implementations14 Jul 2021 Yihao Huang, Qing Guo, Felix Juefei-Xu, Lei Ma, Weikai Miao, Yang Liu, Geguang Pu

To this end, we first comprehensively investigate two kinds of pixel denoising methods for adversarial robustness enhancement (i. e., existing additive-based and unexplored filtering-based methods) under the loss functions of image-level and semantic-level, respectively, showing that pixel-wise filtering can obtain much higher image quality (e. g., higher PSNR) as well as higher robustness (e. g., higher accuracy on adversarial examples) than existing pixel-wise additive-based method.

Adversarial Attack Adversarial Robustness +1

A Unified Formula of the Optimal Portfolio for Piecewise HARA Utilities

no code implementations14 Jul 2021 Zongxia Liang, Yang Liu, Ming Ma

We propose a general family of piecewise hyperbolic absolute risk aversion (PHARA) utility, including many non-standard utilities as examples.

Induced Domain Adaptation

no code implementations13 Jul 2021 Yang Liu, Yatong Chen, Jiaheng Wei

We formalize the discussions of the transferability of learning in our IDA setting by studying how the model trained on the available source distribution (data) would translate to the performance on the induced domain.

Domain Adaptation

Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial

1 code implementation NeurIPS 2021 Yang Liu, Jialu Wang

In this paper, we first quantify the trade-offs introduced by increasing a certain group of instances' label noise rate w. r. t.

Fairness Informativeness +1

Greedy structure learning from data that contains systematic missing values

no code implementations9 Jul 2021 Yang Liu, Anthony C. Constantinou

Learning from data that contain missing values represents a common phenomenon in many domains.

JPGNet: Joint Predictive Filtering and Generative Network for Image Inpainting

1 code implementation9 Jul 2021 Qing Guo, Xiaoguang Li, Felix Juefei-Xu, Hongkai Yu, Yang Liu, Song Wang

In this paper, for the first time, we formulate image inpainting as a mix of two problems, predictive filtering and deep generation.

Image Inpainting

Deep Learning for Micro-expression Recognition: A Survey

no code implementations6 Jul 2021 Yante Li, Jinsheng Wei, Yang Liu, Janne Kauttonen, Guoying Zhao

In this survey, we provide a comprehensive review of deep micro-expression recognition (MER), including datasets, deep MER pipeline, and the bench-marking of most influential methods.

Micro-Expression Recognition

Cross-Lingual Adaptation for Type Inference

no code implementations1 Jul 2021 Zhiming Li, Xiaofei Xie, Haoliang Li, Zhengzi Xu, Yi Li, Yang Liu

In this paper, we propose cross-lingual adaptation of program analysis, which allows us to leverage prior knowledge learned from the labeled dataset of one language and transfer it to the others.

Code Summarization Cross-Lingual Transfer +2

Improving Factual Consistency of Abstractive Summarization on Customer Feedback

no code implementations ACL (ECNLP) 2021 Yang Liu, Yifei Sun, Vincent Gao

E-commerce stores collect customer feedback to let sellers learn about customer concerns and enhance customer order experience.

Abstractive Text Summarization

10-mega pixel snapshot compressive imaging with a hybrid coded aperture

1 code implementation30 Jun 2021 Zhihong Zhang, Chao Deng, Yang Liu, Xin Yuan, Jinli Suo, Qionghai Dai

Towards this end, snapshot compressive imaging (SCI) was proposed as a promising solution to improve the throughput of imaging systems by compressive sampling and computational reconstruction.

Graph Piece: Efficiently Generating High-Quality Molecular Graphs with Substructures

1 code implementation29 Jun 2021 Xiangzhe Kong, Zhixing Tan, Yang Liu

Molecule generation, which requires generating valid molecules with desired properties, is a fundamental but challenging task.

Drug Discovery Graph Generation +1

Alternating Direction Method of Multiplier-Based Distributed Planning Model for Natural Gas, Electricity Network, and Regional Integrated Energy Systems

no code implementations29 Jun 2021 Ang Xuan, Yang Qiu, Yang Liu, Xin Sun

Simulation results illustrate that a distributed planning model is more sensitive to individual load differences, which is precisely the defect of the joint planning model.

ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities

1 code implementation28 Jun 2021 Yixin Wang, Yang Zhang, Yang Liu, Zihao Lin, Jiang Tian, Cheng Zhong, Zhongchao shi, Jianping Fan, Zhiqiang He

Specifically, ACN adopts a novel co-training network, which enables a coupled learning process for both full modality and missing modality to supplement each other's domain and feature representations, and more importantly, to recover the `missing' information of absent modalities.

Brain Tumor Segmentation Transfer Learning +1

BS-RIS-User Association and Beamforming Designs for RIS-aided Cellular Networks

no code implementations27 Jun 2021 Sifan Liu, Pengfei Ni, Rang Liu, Yang Liu, Ming Li, Qian Liu

During the dynamical access process, an iterative algorithm is proposed to alternatively obtain the active and passive beamforming.

AdaptCL: Efficient Collaborative Learning with Dynamic and Adaptive Pruning

no code implementations27 Jun 2021 Guangmeng Zhou, Ke Xu, Qi Li, Yang Liu, Yi Zhao

In a highly heterogeneous environment, AdaptCL achieves a training speedup of 6. 2x with a slight loss of accuracy.

PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs

2 code implementations26 Jun 2021 Pu Ren, Chengping Rao, Yang Liu, JianXun Wang, Hao Sun

Partial differential equations (PDEs) play a fundamental role in modeling and simulating problems across a wide range of disciplines.

Language Models are Good Translators

no code implementations25 Jun 2021 Shuo Wang, Zhaopeng Tu, Zhixing Tan, Wenxuan Wang, Maosong Sun, Yang Liu

Inspired by the recent progress of large-scale pre-trained language models on machine translation in a limited scenario, we firstly demonstrate that a single language model (LM4MT) can achieve comparable performance with strong encoder-decoder NMT models on standard machine translation benchmarks, using the same training data and similar amount of model parameters.

Language Modelling Machine Translation +1

Synthetic Benchmarks for Scientific Research in Explainable Machine Learning

1 code implementation23 Jun 2021 Yang Liu, Sujay Khandagale, Colin White, Willie Neiswanger

In this work, we address this issue by releasing XAI-Bench: a suite of synthetic datasets along with a library for benchmarking feature attribution algorithms.

FedXGBoost: Privacy-Preserving XGBoost for Federated Learning

no code implementations20 Jun 2021 Nhan Khanh Le, Yang Liu, Quang Minh Nguyen, Qingchen Liu, Fangzhou Liu, Quanwei Cai, Sandra Hirche

Federated learning is the distributed machine learning framework that enables collaborative training across multiple parties while ensuring data privacy.

Federated Learning

CPM-2: Large-scale Cost-effective Pre-trained Language Models

1 code implementation20 Jun 2021 Zhengyan Zhang, Yuxian Gu, Xu Han, Shengqi Chen, Chaojun Xiao, Zhenbo Sun, Yuan YAO, Fanchao Qi, Jian Guan, Pei Ke, Yanzheng Cai, Guoyang Zeng, Zhixing Tan, Zhiyuan Liu, Minlie Huang, Wentao Han, Yang Liu, Xiaoyan Zhu, Maosong Sun

We present a suite of cost-effective techniques for the use of PLMs to deal with the efficiency issues of pre-training, fine-tuning, and inference.

Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval

no code implementations CVPR 2021 Yang Liu, Qingchao Chen, Samuel Albanie

In this paper, we study the task of visual-text retrieval in the highly practical setting in which labelled visual data with paired text descriptions are available in one domain (the "source"), but only unlabelled visual data (without text descriptions) are available in the domain of interest (the "target").

Assessing Multilingual Fairness in Pre-trained Multimodal Representations

no code implementations12 Jun 2021 Jialu Wang, Yang Liu, Xin Eric Wang

In this paper, we provide a nuanced understanding of individual fairness and group fairness by viewing language as the recipient of fairness notions.


Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification

1 code implementation10 Jun 2021 Yang Liu, Weifeng Zhang, Chao Xiang, Tu Zheng, Deng Cai, Xiaofei He

Few-shot learning (FSL) aims to learn a classifier that can be easily adapted to accommodate new tasks not seen during training, given only a few examples.

Few-Shot Learning

Embedding Physics to Learn Spatiotemporal Dynamics from Sparse Data

1 code implementation9 Jun 2021 Chengping Rao, Hao Sun, Yang Liu

Modeling nonlinear spatiotemporal dynamical systems has primarily relied on partial differential equations (PDEs) that are typically derived from first principles.


Uncovering Closed-form Governing Equations of Nonlinear Dynamics from Videos

no code implementations9 Jun 2021 Lele Luan, Yang Liu, Hao Sun

Distilling analytical models from data has the potential to advance our understanding and prediction of nonlinear dynamics.

Time Series

Understanding Generalized Label Smoothing when Learning with Noisy Labels

no code implementations8 Jun 2021 Jiaheng Wei, Hangyu Liu, Tongliang Liu, Gang Niu, Yang Liu

It was shown that LS serves as a regularizer for training data with hard labels and therefore improves the generalization of the model.

Learning with noisy labels

On the Language Coverage Bias for Neural Machine Translation

no code implementations Findings (ACL) 2021 Shuo Wang, Zhaopeng Tu, Zhixing Tan, Shuming Shi, Maosong Sun, Yang Liu

Language coverage bias, which indicates the content-dependent differences between sentence pairs originating from the source and target languages, is important for neural machine translation (NMT) because the target-original training data is not well exploited in current practice.

Data Augmentation Machine Translation +1

Surveillance of COVID-19 Pandemic using Social Media: A Reddit Study in North Carolina

no code implementations7 Jun 2021 Christopher Whitfield, Yang Liu, Mohd Anwar

We observed that 'mask', 'flu', and 'testing' are the most prevalent named-entities for "Personal Protective Equipment", "symptoms", and "testing" categories, respectively.

Named Entity Recognition NER

Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields

1 code implementation3 Jun 2021 Peng-Shuai Wang, Yang Liu, Yu-Qi Yang, Xin Tong

Multilayer perceptrons (MLPs) have been successfully used to represent 3D shapes implicitly and compactly, by mapping 3D coordinates to the corresponding signed distance values or occupancy values.

3D Shape Reconstruction Image Reconstruction

Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation

no code implementations NAACL 2021 Hua Zheng, Damai Dai, Lei LI, Tianyu Liu, Zhifang Sui, Baobao Chang, Yang Liu

In this paper, we tackle the task of Definition Generation (DG) in Chinese, which aims at automatically generating a definition for a word.

Optimizing NLU Reranking Using Entity Resolution Signals in Multi-domain Dialog Systems

no code implementations NAACL 2021 Tong Wang, Jiangning Chen, Mohsen Malmir, Shuyan Dong, Xin He, Han Wang, Chengwei Su, Yue Liu, Yang Liu

In dialog systems, the Natural Language Understanding (NLU) component typically makes the interpretation decision (including domain, intent and slots) for an utterance before the mentioned entities are resolved.

Entity Resolution Intent Classification +1

Transfer Learning for Sequence Generation: from Single-source to Multi-source

1 code implementation ACL 2021 Xuancheng Huang, Jingfang Xu, Maosong Sun, Yang Liu

Although directly finetuning pretrained models on MSG tasks and concatenating multiple sources into a single long sequence is regarded as a simple method to transfer pretrained models to MSG tasks, we conjecture that the direct finetuning method leads to catastrophic forgetting and solely relying on pretrained self-attention layers to capture cross-source information is not sufficient.

Automatic Post-Editing Document Summarization +3

Estimating Instance-dependent Label-noise Transition Matrix using DNNs

no code implementations27 May 2021 Shuo Yang, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu

Traditionally, the transition from clean distribution to noisy distribution (i. e., clean label transition matrix) has been widely exploited to learn a clean label classifier by employing the noisy data.

VISITRON: Visual Semantics-Aligned Interactively Trained Object-Navigator

1 code implementation25 May 2021 Ayush Shrivastava, Karthik Gopalakrishnan, Yang Liu, Robinson Piramuthu, Gokhan Tür, Devi Parikh, Dilek Hakkani-Tür

Interactive robots navigating photo-realistic environments face challenges underlying vision-and-language navigation (VLN), but in addition, they need to be trained to handle the dynamic nature of dialogue.

Imitation Learning Vision and Language Navigation

Retrieval Enhanced Model for Commonsense Generation

1 code implementation Findings (ACL) 2021 Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng

Commonsense generation is a challenging task of generating a plausible sentence describing an everyday scenario using provided concepts.

Text Generation

Sparta: Spatially Attentive and Adversarially Robust Activation

no code implementations18 May 2021 Qing Guo, Felix Juefei-Xu, Changqing Zhou, Yang Liu, Song Wang

In both cases, Sparta leads to CNNs with higher robustness than the vanilla ReLU, verifying the flexibility and versatility of the proposed method.

Dynamic Multi-Branch Layers for On-Device Neural Machine Translation

no code implementations14 May 2021 Zhixing Tan, Maosong Sun, Yang Liu

With the rapid development of artificial intelligence (AI), there is a trend in moving AI applications such as neural machine translation (NMT) from cloud to mobile devices such as smartphones.

Machine Translation Translation

Go Beyond Plain Fine-tuning: Improving Pretrained Models for Social Commonsense

no code implementations12 May 2021 Ting-Yun Chang, Yang Liu, Karthik Gopalakrishnan, Behnam Hedayatnia, Pei Zhou, Dilek Hakkani-Tur

Towards improving language models' social intelligence, we focus on the Social IQA dataset, a task requiring social and emotional commonsense reasoning.

AVA: Adversarial Vignetting Attack against Visual Recognition

no code implementations12 May 2021 Binyu Tian, Felix Juefei-Xu, Qing Guo, Xiaofei Xie, Xiaohong Li, Yang Liu

Moreover, we propose the geometry-aware level-set optimization method to solve the adversarial vignetting regions and physical parameters jointly.

Disentangling Noise from Images: A Flow-Based Image Denoising Neural Network

1 code implementation11 May 2021 Yang Liu, Saeed Anwar, Zhenyue Qin, Pan Ji, Sabrina Caldwell, Tom Gedeon

The prevalent convolutional neural network (CNN) based image denoising methods extract features of images to restore the clean ground truth, achieving high denoising accuracy.

Image Denoising

Physics-informed Spline Learning for Nonlinear Dynamics Discovery

1 code implementation5 May 2021 Fangzheng Sun, Yang Liu, Hao Sun

Dynamical systems are typically governed by a set of linear/nonlinear differential equations.

Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition

1 code implementation4 May 2021 Zhenyue Qin, Yang Liu, Pan Ji, Dongwoo Kim, Lei Wang, Bob McKay, Saeed Anwar, Tom Gedeon

Recent skeleton-based action recognition methods extract features from 3D joint coordinates as spatial-temporal cues, using these representations in a graph neural network for feature fusion to boost recognition performance.

Action Recognition Skeleton Based Action Recognition

Hard Encoding of Physics for Learning Spatiotemporal Dynamics

no code implementations2 May 2021 Chengping Rao, Hao Sun, Yang Liu

Modeling nonlinear spatiotemporal dynamical systems has primarily relied on partial differential equations (PDEs).


Detecting and Matching Related Objects with One Proposal Multiple Predictions

1 code implementation23 Apr 2021 Yang Liu, Luiz G. Hafemann, Michael Jamieson, Mehrsan Javan

Tracking players in sports videos is commonly done in a tracking-by-detection framework, first detecting players in each frame, and then performing association over time.

TEACHTEXT: CrossModal Generalized Distillation for Text-Video Retrieval

1 code implementation ICCV 2021 Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu, Hailin Jin, Andrew Zisserman, Samuel Albanie, Yang Liu

In recent years, considerable progress on the task of text-video retrieval has been achieved by leveraging large-scale pretraining on visual and audio datasets to construct powerful video encoders.

Video Retrieval

QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization

1 code implementation NAACL 2021 Ming Zhong, Da Yin, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, Dragomir Radev

As increasing numbers of meetings are recorded and transcribed, meeting summaries have become essential to remind those who may or may not have attended the meetings about the key decisions made and the tasks to be completed.

Meeting Summarization

Research on Optimization Method of Multi-scale Fish Target Fast Detection Network

no code implementations11 Apr 2021 Yang Liu, Shengmao Zhang, Fei Wang, Wei Fan, Guohua Zou, Jing Bo

The fish target detection algorithm lacks a good quality data set, and the algorithm achieves real-time detection with lower power consumption on embedded devices, and it is difficult to balance the calculation speed and identification ability.

Statistically significant detection of semantic shifts using contextual word embeddings

no code implementations EMNLP (Eval4NLP) 2021 Yang Liu, Alan Medlar, Dorota Glowacka

Detecting lexical semantic change in smaller data sets, e. g. in historical linguistics and digital humanities, is challenging due to a lack of statistical power.

Word Embeddings

Personalized Entity Resolution with Dynamic Heterogeneous Knowledge Graph Representations

no code implementations6 Apr 2021 Ying Lin, Han Wang, Jiangning Chen, Tong Wang, Yue Liu, Heng Ji, Yang Liu, Premkumar Natarajan

For example, with "add milk to my cart", a customer may refer to a certain organic product, while some customers may want to re-order products they regularly purchase.

Entity Resolution

Optimal Query Complexity of Secure Stochastic Convex Optimization

no code implementations NeurIPS 2020 Wei Tang, Chien-Ju Ho, Yang Liu

The goal of the learner is to optimize the accuracy, i. e., obtaining an accurate estimate of the optimal point, while securing her privacy, i. e., making it difficult for the adversary to infer the optimal point.

How Powerful are Performance Predictors in Neural Architecture Search?

1 code implementation NeurIPS 2021 Colin White, Arber Zela, Binxin Ru, Yang Liu, Frank Hutter

Early methods in the rapidly developing field of neural architecture search (NAS) required fully training thousands of neural networks.

Neural Architecture Search

SCALoss: Side and Corner Aligned Loss for Bounding Box Regression

no code implementations1 Apr 2021 Tu Zheng, Shuai Zhao, Yang Liu, Zili Liu, Deng Cai

In this paper, we propose Side Overlap (SO) loss by maximizing the side overlap of two bounding boxes, which puts more penalty for low overlapping bounding box cases.

Object Detection

Fast and Accurate Emulation of the SDO/HMI Stokes Inversion with Uncertainty Quantification

1 code implementation31 Mar 2021 Richard E. L. Higgins, David F. Fouhey, Dichang Zhang, Spiro K. Antiochos, Graham Barnes, J. Todd Hoeksema, K. D. Leka, Yang Liu, Peter W. Schuck, Tamas I. Gombosi

The Helioseismic and Magnetic Imager (HMI) onboard NASA's Solar Dynamics Observatory (SDO) produces estimates of the photospheric magnetic field which are a critical input to many space weather modelling and forecasting systems.

Deep Implicit Moving Least-Squares Functions for 3D Reconstruction

1 code implementation CVPR 2021 Shi-Lin Liu, Hao-Xiang Guo, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu

We incorporate IMLS surface generation into deep neural networks for inheriting both the flexibility of point sets and the high quality of implicit surfaces.

3D Object Reconstruction 3D Reconstruction

OnionNet-2: A Convolutional Neural Network Model for Predicting Protein-Ligand Binding Affinity based on Residue-Atom Contacting Shells

1 code implementation22 Mar 2021 Zechen Wang, Liangzhen Zheng, Yang Liu, Yuanyuan Qu, Yong-Qiang Li, Mingwen Zhao, Yuguang Mu, Weifeng Li

In this study, we proposed a simple scoring function (called OnionNet-2) based on convolutional neural network to predict $\triangle$$G$.

Neighbor Embedding Variational Autoencoder

no code implementations21 Mar 2021 Renfei Tu, Yang Liu, Yongzeng Xue, Cheng Wang, Maozu Guo

Being one of the most popular generative framework, variational autoencoders(VAE) are known to suffer from a phenomenon termed posterior collapse, i. e. the latent variational distributions collapse to the prior, especially when a strong decoder network is used.

MogFace: Towards a Deeper Appreciation on Face Detection

1 code implementation20 Mar 2021 Yang Liu, Fei Wang, Baigui Sun, Hao Li

As a result, practical solutions on label assignment, scale-level data augmentation and reducing false alarms are necessary for advancing face detector.

Data Augmentation Face Detection

Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation

1 code implementation15 Mar 2021 Zhizhe Liu, Zhenfeng Zhu, Shuai Zheng, Yang Liu, Jiayu Zhou, Yao Zhao

To bridge the gap between the source and target domains in unsupervised domain adaptation (UDA), the most common strategy puts focus on matching the marginal distributions in the feature space through adversarial learning.

Cardiac Segmentation Contrastive Learning +1

DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor Neural Network

no code implementations15 Mar 2021 Yang Liu, Tu Zheng, Jie Song, Deng Cai, Xiaofei He

In this paper, we argue that a Mutual Nearest Neighbor (MNN) relation should be established to explicitly select the query descriptors that are most relevant to each task and discard less relevant ones from aggregative clutters in FSL.

Few-Shot Learning

MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization

1 code implementation NAACL 2021 Chenguang Zhu, Yang Liu, Jie Mei, Michael Zeng

MediaSum, a large-scale media interview dataset consisting of 463. 6K transcripts with abstractive summaries.

Transfer Learning

An Optimal-Transport-Based Reinforcement Learning Approach for Computation Offloading

no code implementations11 Mar 2021 Zhuo Li, Xu Zhou, Taixin Li, Yang Liu

With the mass deployment of computing-intensive applications and delay-sensitive applications on end devices, only adequate computing resources can meet differentiated services' delay requirements.

Edge-computing Networking and Internet Architecture

TANTRA: Timing-Based Adversarial Network Traffic Reshaping Attack

no code implementations10 Mar 2021 Yam Sharon, David Berend, Yang Liu, Asaf Shabtai, Yuval Elovici

Prior research on bypassing NIDSs has mainly focused on perturbing the features extracted from the attack traffic to fool the detection system, however, this may jeopardize the attack's functionality.

Network Intrusion Detection