Search Results for author: Hui Chen

Found 42 papers, 17 papers with code

A Tutorial on Terahertz-Band Localization for 6G Communication Systems

no code implementations16 Oct 2021 Hui Chen, Hadi Sarieddeen, Tarig Ballal, Henk Wymeersch, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri

Terahertz (THz) communications are celebrated as key enablers for converged localization and sensing in future sixth-generation (6G) wireless communication systems and beyond.

Multi-trends Enhanced Dynamic Micro-video Recommendation

no code implementations8 Oct 2021 Yujie Lu, Yingxuan Huang, Shengyu Zhang, Wei Han, Hui Chen, Zhou Zhao, Fei Wu

In this paper, we propose the DMR framework to explicitly model dynamic multi-trends of users' current preference and make predictions based on both the history and future potential trends.

Recommendation Systems

Learning to Ask for Data-Efficient Event Argument Extraction

no code implementations1 Oct 2021 Hongbin Ye, Ningyu Zhang, Zhen Bi, Shumin Deng, Chuanqi Tan, Hui Chen, Fei Huang, Huajun Chen

Event argument extraction (EAE) is an important task for information extraction to discover specific argument roles.

Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis

2 code implementations1 Sep 2021 Wei Han, Hui Chen, Soujanya Poria

In this work, we propose a framework named MultiModal InfoMax (MMIM), which hierarchically maximizes the Mutual Information (MI) in unimodal input pairs (inter-modality) and between multimodal fusion result and unimodal input in order to maintain task-related information through multimodal fusion.

Multimodal Sentiment Analysis

0.8% Nyquist computational ghost imaging via non-experimental deep learning

no code implementations17 Aug 2021 Haotian Song, Xiaoyu Nie, Hairong Su, Hui Chen, Yu Zhou, Xingchen Zhao, Tao Peng, Marlan O. Scully

We present a framework for computational ghost imaging based on deep learning and customized pink noise speckle patterns.

Image Reconstruction

Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis

2 code implementations28 Jul 2021 Wei Han, Hui Chen, Alexander Gelbukh, Amir Zadeh, Louis-Philippe Morency, Soujanya Poria

Multimodal sentiment analysis aims to extract and integrate semantic information collected from multiple modalities to recognize the expressed emotions and sentiment in multimodal data.

Multimodal Deep Learning Multimodal Sentiment Analysis

A Game-Theoretic Approach to Multi-Agent Trust Region Optimization

1 code implementation12 Jun 2021 Ying Wen, Hui Chen, Yaodong Yang, Zheng Tian, Minne Li, Xu Chen, Jun Wang

Trust region methods are widely applied in single-agent reinforcement learning problems due to their monotonic performance-improvement guarantee at every iteration.

Atari Games Multi-agent Reinforcement Learning

OntoED: Low-resource Event Detection with Ontology Embedding

1 code implementation ACL 2021 Shumin Deng, Ningyu Zhang, Luoqiu Li, Hui Chen, Huaixiao Tou, Mosha Chen, Fei Huang, Huajun Chen

Most of current methods to ED rely heavily on training instances, and almost ignore the correlation of event types.

Event Detection

Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph

no code implementations30 Apr 2021 Chi-Man Wong, Fan Feng, Wen Zhang, Chi-Man Vong, Hui Chen, Yichi Zhang, Peng He, Huan Chen, Kun Zhao, Huajun Chen

We first construct a billion-scale conversation knowledge graph (CKG) from information about users, items and conversations, and then pretrain CKG by introducing knowledge graph embedding method and graph convolution network to encode semantic and structural information respectively. To make the CTR prediction model sensible of current state of users and the relationship between dialogues and items, we introduce user-state and dialogue-interaction representations based on pre-trained CKG and propose K-DCN. In K-DCN, we fuse the user-state representation, dialogue-interaction representation and other normal feature representations via deep cross network, which will give the rank of candidate items to be recommended. We experimentally prove that our proposal significantly outperforms baselines and show it's real application in Alime.

Click-Through Rate Prediction Knowledge Graph Embedding +1

Speckles-Training-Based Denoising Convolutional Neural Network Ghost Imaging

no code implementations7 Apr 2021 Yuchen He, Sihong Duan, Jianxing Li, Hui Chen, Huaibin Zheng, Jianbin Liu, Shitao Zhu, Zhuo Xu

Ghost imaging (GI) has been paid attention gradually because of its lens-less imaging capability, turbulence-free imaging and high detection sensitivity.

Denoising

Text-guided Legal Knowledge Graph Reasoning

1 code implementation6 Apr 2021 Luoqiu Li, Zhen Bi, Hongbin Ye, Shumin Deng, Hui Chen, Huaixiao Tou

In this paper, we propose a novel legal application of legal provision prediction (LPP), which aims to predict the related legal provisions of affairs.

Knowledge Graph Completion

Generative-Adversarial-Networks-based Ghost Recognition

no code implementations25 Mar 2021 Yuchen He, Yibing Chen, Sheng Luo, Hui Chen, Jianxing Li, Zhuo Xu

The proposed method can improve the problems caused by conventional recognition methods that based on target image information, and provide a certain turbulence-free ability.

Image Reconstruction

Learning to Shape Rewards using a Game of Switching Controls

no code implementations16 Mar 2021 David Mguni, Jianhong Wang, Taher Jafferjee, Nicolas Perez-Nieves, Wenbin Song, Yaodong Yang, Feifei Tong, Hui Chen, Jiangcheng Zhu, Jun Wang

Reward shaping (RS) is a powerful method in reinforcement learning (RL) for overcoming the problem of sparse or uninformative rewards.

Deep Structural Estimation: With an Application to Option Pricing

1 code implementation18 Feb 2021 Hui Chen, Antoine Didisheim, Simon Scheidegger

We propose a novel structural estimation framework in which we train a surrogate of an economic model with deep neural networks.

DOA Estimation with Non-Uniform Linear Arrays: A Phase-Difference Projection Approach

no code implementations6 Feb 2021 Hui Chen, Tarig Ballal, Tareq Y. Al-Naffouri

The concept of \emph{wrapped phased-difference pattern} (WPDP) is introduced, which allows the proposed algorithm to compute most of the parameters required for DOA estimation in an offline manner, hence resulting in a superior computational speed in realtime.

Multi-Agent Trust Region Learning

1 code implementation1 Jan 2021 Ying Wen, Hui Chen, Yaodong Yang, Zheng Tian, Minne Li, Xu Chen, Jun Wang

We derive the lower bound of agents' payoff improvements for MATRL methods, and also prove the convergence of our method on the meta-game fixed points.

Atari Games Multi-agent Reinforcement Learning +1

Contrastive Coding for Active Learning Under Class Distribution Mismatch

no code implementations ICCV 2021 Pan Du, Suyun Zhao, Hui Chen, Shuwen Chai, Hong Chen, Cuiping Li

However, its performance deteriorates under class distribution mismatch, wherein the unlabeled data contain many samples out of the class distribution of labeled data.

Active Learning Contrastive Learning

Physical rendering of synthetic spaces for topological sound transport

no code implementations22 Dec 2020 Hui Chen, Hongkuan Zhang, Qian Wu, Yu Huang, Huy Nguyen, Emil Prodan, Xiaoming Zhou, Guoliang Huang

Synthetic dimensions can be rendered in the physical space and this has been achieved with photonics and cold atomic gases, however, little to no work has been succeeded in acoustics because acoustic wave-guides cannot be weakly coupled in a continuous fashion.

Mesoscale and Nanoscale Physics Classical Physics

Learning to Infer Unseen Attribute-Object Compositions

no code implementations27 Oct 2020 Hui Chen, Zhixiong Nan, Jingjing Jiang, Nanning Zheng

The composition recognition of unseen attribute-object is critical to make machines learn to decompose and compose complex concepts like people.

Decision-Aware Conditional GANs for Time Series Data

no code implementations26 Sep 2020 He Sun, Zhun Deng, Hui Chen, David C. Parkes

We introduce the decision-aware time-series conditional generative adversarial network (DAT-CGAN) as a method for time-series generation.

Time Series

DistilE: Distiling Knowledge Graph Embeddings for Faster and Cheaper Reasoning

no code implementations13 Sep 2020 Yushan Zhu, Wen Zhang, Hui Chen, Xu Cheng, Wei zhang, Huajun Chen

Knowledge Graph Embedding (KGE) is a popular method for KG reasoning and usually a higher dimensional one ensures better reasoning capability.

Knowledge Distillation Knowledge Graph Embedding +2

Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks

1 code implementation10 Sep 2020 Hui Chen, Pengfei Hong, Wei Han, Navonil Majumder, Soujanya Poria

This graph is fed to a graph attention network for context propagation among relevant nodes, which effectively captures the dialogue context.

Ranked #5 on Dialog Relation Extraction on DialogRE (F1c (v1) metric)

Dialog Relation Extraction Document-level +2

FLFE: A Communication-Efficient and Privacy-Preserving Federated Feature Engineering Framework

no code implementations5 Sep 2020 Pei Fang, Zhendong Cai, Hui Chen, QingJiang Shi

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques and is a key step to improve the performance of machine learning algorithms.

Feature Engineering

A Derivation of Identifiable Condition for Non-Uniform Linear Array DOA Estimation

no code implementations31 Aug 2020 Hui Chen, Tarig Ballal, Tareq Y. Al-Naffouri

Phase ambiguity happens in uniform linear arrays (ULAs) when the sensor distance is greater than $\lambda/2$.

A Natural Language Processing Pipeline of Chinese Free-text Radiology Reports for Liver Cancer Diagnosis

no code implementations10 Apr 2020 Honglei Liu, Yan Xu, Zhiqiang Zhang, Ni Wang, Yanqun Huang, Yanjun Hu, Zhenghan Yang, Rui Jiang, Hui Chen

Despite the rapid development of natural language processing (NLP) implementation in electronic medical records (EMRs), Chinese EMRs processing remains challenging due to the limited corpus and specific grammatical characteristics, especially for radiology reports.

Computed Tomography (CT) Coreference Resolution +1

BEYOND SUPERVISED LEARNING: RECOGNIZING UNSEEN ATTRIBUTE-OBJECT PAIRS WITH VISION-LANGUAGE FUSION AND ATTRACTOR NETWORKS

no code implementations ICLR 2020 Hui Chen, Zhixiong Nan, Nanning Zheng

This paper handles a challenging problem, unseen attribute-object pair recognition, which asks a model to simultaneously recognize the attribute type and the object type of a given image while this attribute-object pair is not included in the training set.

Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources

1 code implementation14 Nov 2019 Qianhui Wu, Zijia Lin, Guoxin Wang, Hui Chen, Börje F. Karlsson, Biqing Huang, Chin-Yew Lin

For languages with no annotated resources, transferring knowledge from rich-resource languages is an effective solution for named entity recognition (NER).

Cross-Lingual NER Meta-Learning +2

UER: An Open-Source Toolkit for Pre-training Models

1 code implementation IJCNLP 2019 Zhe Zhao, Hui Chen, Jinbin Zhang, Xin Zhao, Tao Liu, Wei Lu, Xi Chen, Haotang Deng, Qi Ju, Xiaoyong Du

Existing works, including ELMO and BERT, have revealed the importance of pre-training for NLP tasks.

PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion Regression

1 code implementation11 Sep 2019 Sicheng Zhao, Zizhou Jia, Hui Chen, Leida Li, Guiguang Ding, Kurt Keutzer

By optimizing the PCR loss, PDANet can generate a polarity preserved attention map and thus improve the emotion regression performance.

Deep Attention Emotion Classification +1

GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition

1 code implementation12 Jul 2019 Hui Chen, Zijia Lin, Guiguang Ding, Jianguang Lou, Yusen Zhang, Borje Karlsson

The dominant approaches for named entity recognition (NER) mostly adopt complex recurrent neural networks (RNN), e. g., long-short-term-memory (LSTM).

Named Entity Recognition NER

A new Majorana platform in an Fe-As bilayer superconductor

no code implementations1 Jul 2019 Wenyao Liu, Lu Cao, Shiyu Zhu, Lingyuan Kong, Guangwei Wang, Michal Papaj, Peng Zhang, Yabin Liu, Hui Chen, Geng Li, Fazhi Yang, Takeshi Kondo, Shixuan Du, Guanghan Cao, Shik Shin, Liang Fu, Zhiping Yin, Hong-Jun Gao, Hong Ding

On the other hand, some iron-pnictide (Fe-As) superconductors, such as LiFeAs, have been demonstrated to have a similar topological band structure, yet no MZM has been observed in its vortex cores, raising a question of universality of MZM presence in iron-based superconductors.

Superconductivity Strongly Correlated Electrons

A Variational Approach for Learning from Positive and Unlabeled Data

1 code implementation NeurIPS 2020 Hui Chen, Fangqing Liu, Yin Wang, Liyue Zhao, Hao Wu

Learning binary classifiers only from positive and unlabeled (PU) data is an important and challenging task in many real-world applications, including web text classification, disease gene identification and fraud detection, where negative samples are difficult to verify experimentally.

Fraud Detection Text Classification

Geometry-Contrastive GAN for Facial Expression Transfer

1 code implementation6 Feb 2018 Fengchun Qiao, Naiming Yao, Zirui Jiao, Zhihao LI, Hui Chen, Hongan Wang

Geometry information is introduced into cGANs as continuous conditions to guide the generation of facial expressions.

Contrastive Learning

3D Model-Based Continuous Emotion Recognition

no code implementations CVPR 2015 Hui Chen, Jiangdong Li, Fengjun Zhang, Yang Li, Hongan Wang

We propose a real-time 3D model-based method that continuously recognizes dimensional emotions from facial expressions in natural communications.

Emotion Recognition

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