1 code implementation • COLING 2022 • Zezhong Xu, Peng Ye, Hui Chen, Meng Zhao, Huajun Chen, Wen Zhang
Based on this idea, we propose a transformer-based rule mining approach, Ruleformer.
no code implementations • Findings (ACL) 2022 • Hailong Jin, Tiansi Dong, Lei Hou, Juanzi Li, Hui Chen, Zelin Dai, Qu Yincen
Cross-lingual Entity Typing (CLET) aims at improving the quality of entity type prediction by transferring semantic knowledge learned from rich-resourced languages to low-resourced languages.
no code implementations • 9 Jan 2023 • Hui Chen, Hyowon Kim, Mustafa Ammous, Gonzalo Seco-Granados, George C. Alexandropoulos, Shahrokh Valaee, Henk Wymeersch
A smart city involves, among other elements, intelligent transportation, crowd monitoring, and digital twins, each of which requires information exchange via wireless communication links and localization of connected devices and passive objects (including people).
no code implementations • 3 Jan 2023 • Hui Chen, Musa Furkan Keskin, Sina Rezaei Aghdam, Hyowon Kim, Simon Lindberg, Andreas Wolfgang, Traian E. Abrudan, Thomas Eriksson, Henk Wymeersch
Complementary to the localization analysis, we also investigate the effect of individual and overall HWIs on communication in terms of symbol error rate (SER).
no code implementations • 14 Dec 2022 • Hyowon Kim, Alessio Fascista, Hui Chen, Yu Ge, George C. Alexandropoulos, Gonzalo Seco-Granados, Henk Wymeersch
We propose a framework for monostatic sensing by a user equipment (UE), aided by a reconfigurable intelligent surface (RIS) in environments with single- and double-bounce signal propagation.
no code implementations • 14 Dec 2022 • Hyowon Kim, Hui Chen, Musa Furkan Keskin, Yu Ge, Kamran Keykhosravi, George C. Alexandropoulos, Sunwoo Kim, Henk Wymeersch
In the upcoming sixth generation (6G) of wireless communication systems, reconfigurable intelligent surfaces~(RISs) are regarded as one of the promising technological enablers, which can provide programmable signal propagation.
no code implementations • 8 Dec 2022 • Yi Lu, Hui Chen, Jukka Talvitie, Henk Wymeersch, Mikko Valkama
Reconfigurable intelligent surfaces (RISs) are expected to be a key component enabling the mobile network evolution towards a flexible and intelligent 6G wireless platform.
no code implementations • 17 Nov 2022 • Xurong Xie, Xunying Liu, Hui Chen, Hongan Wang
Modeling the speaker variability is a key challenge for automatic speech recognition (ASR) systems.
no code implementations • 13 Nov 2022 • Pinjun Zheng, Hui Chen, Tarig Ballal, Henk Wymeersch, Tareq Y. Al-Naffouri
In 5G/6G wireless systems, reconfigurable intelligent surfaces (RIS) can play a role as a passive anchor to enable and enhance localization in various scenarios.
no code implementations • 3 Nov 2022 • Fan Yang, Xinhao Xu, Hui Chen, Yuchen Guo, Jungong Han, Kai Ni, Guiguang Ding
To pick up the ground plane prior for M3OD, we propose a Ground Plane Enhanced Network (GPENet) which resolves both issues at one go.
no code implementations • 2 Nov 2022 • Ali Behravan, Vijaya Yajnanarayana, Musa Furkan Keskin, Hui Chen, Deep Shrestha, Traian E. Abrudan, Tommy Svensson, Kim Schindhelm, Andreas Wolfgang, Simon Lindberg, Henk Wymeersch
Among the key differentiators of 6G compared to 5G will be the increased emphasis on radio based positioning and sensing.
1 code implementation • 23 Oct 2022 • Wei Han, Hui Chen, Min-Yen Kan, Soujanya Poria
Existing multimodal tasks mostly target at the complete input modality setting, i. e., each modality is either complete or completely missing in both training and test sets.
1 code implementation • 23 Oct 2022 • Hongbin Ye, Ningyu Zhang, Hui Chen, Huajun Chen
Our contributions are threefold: (1) We present a detailed, complete taxonomy for the generative KGC methods; (2) We provide a theoretical and empirical analysis of the generative KGC methods; (3) We propose several research directions that can be developed in the future.
1 code implementation • 23 Oct 2022 • Hui Chen, Wei Han, Soujanya Poria
Self-training methods have been explored in recent years and have exhibited great performance in improving semi-supervised learning.
no code implementations • 18 Oct 2022 • Reza Ghazalian, Hui Chen, George C. Alexandropoulos, Gonzalo Seco-Granados, Henk Wymeersch, Riku Jäntti
The recent research in the emerging technology of reconfigurable intelligent surfaces (RISs) has identified its high potential for localization and sensing.
no code implementations • 19 Sep 2022 • Pinjun Zheng, Tarig Ballal, Hui Chen, Henk Wymeersch, Tareq Y. Al-Naffouri
This paper considers the problem of estimating the position and orientation of a user equipped with a three-dimensional (3D) array receiving downlink far-field THz signals from multiple base stations with known positions and orientations.
no code implementations • 19 Sep 2022 • Zezhong Xu, Wen Zhang, Peng Ye, Hui Chen, Huajun Chen
In this work, we propose a Neural and Symbolic Entangled framework (ENeSy) for complex query answering, which enables the neural and symbolic reasoning to enhance each other to alleviate the cascading error and KG incompleteness.
1 code implementation • 12 Sep 2022 • Shawn P. Duncan, Hui Chen
To estimate the probability of censorship events from the inferred latent features, we rely on a densely connected multi-layer neural network model.
1 code implementation • COLING 2022 • Wei Han, Hui Chen, Zhen Hai, Soujanya Poria, Lidong Bing
With the boom of e-commerce, Multimodal Review Helpfulness Prediction (MRHP), which aims to sort product reviews according to the predicted helpfulness scores has become a research hotspot.
1 code implementation • COLING 2022 • Hui Chen, Wei Han, Diyi Yang, Soujanya Poria
This paper proposes a simple yet effective interpolation-based data augmentation approach termed DoubleMix, to improve the robustness of models in text classification.
1 code implementation • 30 Aug 2022 • Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu
Benefiting from the search efficiency, differentiable neural architecture search (NAS) has evolved as the most dominant alternative to automatically design competitive deep neural networks (DNNs).
no code implementations • 22 Aug 2022 • Yu Ge, Ossi Kaltiokallio, Hui Chen, Fan Jiang, Jukka Talvitie, Mikko Valkama, Lennart Svensson, Henk Wymeersch
Networks in 5G and beyond utilize millimeter wave (mmWave) radio signals, large bandwidths, and large antenna arrays, which bring opportunities in jointly localizing the user equipment and mapping the propagation environment, termed as simultaneous localization and mapping (SLAM).
no code implementations • 28 Jun 2022 • Reza Ghazalian, Kamran Keykhosravi, Hui Chen, Henk Wymeersch, Riku Jäntti
Due to the deployment of RISs with a large dimension, near-field (NF) scenarios are likely to occur, especially for indoor applications, and are the focus of this work.
1 code implementation • 30 May 2022 • Hui Chen, Ahmed Elzanaty, Reza Ghazalian, Musa Furkan Keskin, Riku Jäntti, Henk Wymeersch
Radio localization is applied in high-frequency (e. g., mmWave and THz) systems to support communication and to provide location-based services without extra infrastructure.
no code implementations • 30 May 2022 • Hui Chen, Fan Jiang, Yu Ge, Hyowon Kim, Henk Wymeersch
With the help of multipath components (MPCs), localization and mapping tasks can be done with a single base station (BS) and single unsynchronized user equipment (UE) if both of them are equipped with an antenna array.
no code implementations • 22 May 2022 • Henk Wymeersch, Aarno Pärssinen, Traian E. Abrudan, Andreas Wolfgang, Katsuyuki Haneda, Muris Sarajlic, Marko E. Leinonen, Musa Furkan Keskin, Hui Chen, Simon Lindberg, Pekka Kyösti, Tommy Svensson, Xinxin Yang
6G will be characterized by extreme use cases, not only for communication, but also for localization, and sensing.
1 code implementation • 22 May 2022 • Hui Chen, Tarig Ballal, Mohammed E. Eltayeb, Tareq Y. Al-Naffouri
We first perform a subarray layout alignment process to remove subarrays with identical beampatterns and create a unique subarray set.
1 code implementation • 22 May 2022 • Yincen Qu, Ningyu Zhang, Hui Chen, Zelin Dai, Zezhong Xu, Chengming Wang, Xiaoyu Wang, Qiang Chen, Huajun Chen
In addition to formulating the new task, we also release a new Benchmark dataset of Salience Evaluation in E-commerce (BSEE) and hope to promote related research on commonsense knowledge salience evaluation.
no code implementations • 12 May 2022 • Tianshu Wang, Hongyu Lin, Cheng Fu, Xianpei Han, Le Sun, Feiyu Xiong, Hui Chen, Minlong Lu, Xiuwen Zhu
Experimental results demonstrate that the assumptions made in the previous benchmark construction process are not coincidental with the open environment, which conceal the main challenges of the task and therefore significantly overestimate the current progress of entity matching.
no code implementations • 27 Apr 2022 • Hui Chen, Sina Rezaei Aghdam, Musa Furkan Keskin, Yibo Wu, Simon Lindberg, Andreas Wolfgang, Ulf Gustavsson, Thomas Eriksson, Henk Wymeersch
Location information is expected to be the key to meeting the needs of communication and context-aware services in 6G systems.
no code implementations • 3 Mar 2022 • Lukas Platinsky, Tayyab Naseer, Hui Chen, Ben Haines, Haoyue Zhu, Hugo Grimmett, Luca Del Pero
This motivates the use of commodity sensors like cameras for data collection, which are an order of magnitude cheaper than HD sensor suites, but offer lower fidelity.
1 code implementation • 4 Feb 2022 • Xin Xie, Ningyu Zhang, Zhoubo Li, Shumin Deng, Hui Chen, Feiyu Xiong, Mosha Chen, Huajun Chen
Knowledge graph completion aims to address the problem of extending a KG with missing triples.
Ranked #43 on
Link Prediction
on FB15k-237
no code implementations • 27 Jan 2022 • Hongbin Ye, Ningyu Zhang, Shumin Deng, Xiang Chen, Hui Chen, Feiyu Xiong, Xi Chen, Huajun Chen
Specifically, we develop the ontology transformation based on the external knowledge graph to address the knowledge missing issue, which fulfills and converts structure knowledge to text.
no code implementations • 19 Jan 2022 • Shien Zhu, Luan H. K. Duong, Hui Chen, Di Liu, Weichen Liu
Quantization is applied to reduce the latency and storage cost of CNNs.
no code implementations • 29 Dec 2021 • Xing Liu, Tarig Ballal, Hui Chen, Tareq Y. Al-Naffouri
Attitude determination is a popular application of Global Navigation Satellite Systems (GNSS).
no code implementations • 1 Dec 2021 • Yuchen He, Sihong Duan, Jianxing Li, Hui Chen, Huaibin Zheng, Jianbin Liu, Yu Zhou, Zhuo Xu
The testing results show that the proposed method can achieve image reconstruction at a very low sampling rate (0. 38$\%$).
1 code implementation • 16 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.
no code implementations • 8 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.
no code implementations • 1 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.
2 code implementations • EMNLP 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.
Ranked #4 on
Multimodal Sentiment Analysis
on CMU-MOSI
1 code implementation • 20 Aug 2021 • Yushan Zhu, Huaixiao Tou, Wen Zhang, Ganqiang Ye, Hui Chen, Ningyu Zhang, Huajun Chen
In this paper, we address multi-modal pretraining of product data in the field of E-commerce.
no code implementations • 17 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.
2 code implementations • 28 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.
1 code implementation • 12 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.
1 code implementation • 3 Jun 2021 • Ningyu Zhang, Qianghuai Jia, Shumin Deng, Xiang Chen, Hongbin Ye, Hui Chen, Huaixiao Tou, Gang Huang, Zhao Wang, Nengwei Hua, Huajun Chen
Conceptual graphs, which is a particular type of Knowledge Graphs, play an essential role in semantic search.
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.
no code implementations • 30 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.
no code implementations • 7 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.
1 code implementation • 6 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.
no code implementations • 25 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.
no code implementations • 16 Mar 2021 • David Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez-Nieves, Yaodong Yang, Tianpei Yang, Matthew Taylor, Wenbin Song, 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.
1 code implementation • 18 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.
1 code implementation • 6 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.
1 code implementation • 1 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.
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.
no code implementations • 22 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
no code implementations • 21 Dec 2020 • Gerald Jackson Williams, Anthony J. Link, Mark William Sherlock, David A. Alessi, Mark W. Bowers, Brad Golick, Matt Hamamoto, Mark R. Hermann, Dan Kalantar, Kai Nicholas LaFortune, Andrew James Mackinnon, Andrew MacPhee, Mario J. -E. Manuel, David Martinez, Michael Mauldin, Lawrence J. Pelz, Matt Prantil, Matthew Quinn, Bruce A. Remington, Ron Sigurdsson, Paul J. Wegner, Kelly Youngblood, Hui Chen
Achieving a high conversion efficiency into relativistic electrons is central to short-pulse laser application and fundamentally relies on creating interaction regions with intensities ${\gg}10^{18}$~W/cm$^2$.
Plasma Physics
no code implementations • 19 Nov 2020 • Hui Chen, Deepanway Ghosal, Navonil Majumder, Amir Hussain, Soujanya Poria
Persuasion aims at forming one's opinion and action via a series of persuasive messages containing persuader's strategies.
no code implementations • 27 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.
no code implementations • 26 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.
no code implementations • 13 Sep 2020 • Yushan Zhu, Wen Zhang, Mingyang Chen, Hui Chen, Xu Cheng, Wei zhang, Huajun Chen
In DualDE, we propose a soft label evaluation mechanism to adaptively assign different soft label and hard label weights to different triples, and a two-stage distillation approach to improve the student's acceptance of the teacher.
1 code implementation • 10 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 #7 on
Dialog Relation Extraction
on DialogRE
(F1c (v1) metric)
no code implementations • 5 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.
no code implementations • 31 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 $\lambda/2$.
no code implementations • 21 Aug 2020 • Zhang Li, Jiehua Zhang, Tao Tan, Xichao Teng, Xiaoliang Sun, Yang Li, Lihong Liu, Yang Xiao, Byungjae Lee, Yilong Li, Qianni Zhang, Shujiao Sun, Yushan Zheng, Junyu Yan, Ni Li, Yiyu Hong, Junsu Ko, Hyun Jung, Yanling Liu, Yu-cheng Chen, Ching-Wei Wang, Vladimir Yurovskiy, Pavel Maevskikh, Vahid Khanagha, Yi Jiang, Xiangjun Feng, Zhihong Liu, Daiqiang Li, Peter J. Schüffler, Qifeng Yu, Hui Chen, Yuling Tang, Geert Litjens
All methods were based on deep learning and categorized into two groups: multi-model method and single model method.
no code implementations • 10 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.
1 code implementation • CVPR 2020 • Hui Chen, Guiguang Ding, Xudong Liu, Zijia Lin, Ji Liu, Jungong Han
Existing methods leverage the attention mechanism to explore such correspondence in a fine-grained manner.
Ranked #14 on
Cross-Modal Retrieval
on Flickr30k
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.
no code implementations • 29 Nov 2019 • Liming Deng, Jie Wang, Hangming Liang, Hui Chen, Zhiqiang Xie, Bojin Zhuang, Shaojun Wang, Jing Xiao
In this paper, we propose a novel iterative polishing framework for highly qualified Chinese poetry generation.
1 code implementation • 14 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).
Ranked #1 on
Cross-Lingual NER
on MSRA
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.
1 code implementation • 11 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.
1 code implementation • 12 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).
Ranked #22 on
Named Entity Recognition
on Ontonotes v5 (English)
no code implementations • 1 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
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.
no code implementations • 14 Mar 2018 • Zhang Li, Zheyu Hu, Jiaolong Xu, Tao Tan, Hui Chen, Zhi Duan, Ping Liu, Jun Tang, Guoping Cai, Quchang Ouyang, Yuling Tang, Geert Litjens, Qiang Li
Aim: Early detection and correct diagnosis of lung cancer are the most important steps in improving patient outcome.
1 code implementation • 6 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.
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.