Search Results for author: Xuan Wang

Found 93 papers, 26 papers with code

ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision

1 code implementation EMNLP 2021 Xuan Wang, Vivian Hu, Xiangchen Song, Shweta Garg, Jinfeng Xiao, Jiawei Han

For example, chemistry research needs to study dozens to hundreds of distinct, fine-grained entity types, making consistent and accurate annotation difficult even for crowds of domain experts.

named-entity-recognition Named Entity Recognition +1

Refinement of an Epilepsy Dictionary through Human Annotation of Health-related posts on Instagram

no code implementations14 May 2024 Aehong Min, Xuan Wang, Rion Brattig Correia, Jordan Rozum, Wendy R. Miller, Luis M. Rocha

Analysis of the estimated false-positive rates of the annotated terms revealed 8 ambiguous terms (plus synonyms) used in Instagram posts, which were removed from the original dictionary.


Distributed Estimation for a 3-D Moving Target in Quaternion Space with Unknown Correlation

no code implementations9 May 2024 Yizhi Zhou, Xufan Liu, Xuan Wang

For distributed estimations in a sensor network, the consistency and accuracy of an estimator are greatly affected by the unknown correlations between individual estimates.

myAURA: Personalized health library for epilepsy management via knowledge graph sparsification and visualization

1 code implementation8 May 2024 Rion Brattig Correia, Jordan C. Rozum, Leonard Cross, Jack Felag, Michael Gallant, Ziqi Guo, Bruce W. Herr II, Aehong Min, Deborah Stungis Rocha, Xuan Wang, Katy Börner, Wendy Miller, Luis M. Rocha

Objective: We report the development of the patient-centered myAURA application and suite of methods designed to aid epilepsy patients, caregivers, and researchers in making decisions about care and self-management.


Motion-adaptive Separable Collaborative Filters for Blind Motion Deblurring

no code implementations19 Apr 2024 Chengxu Liu, Xuan Wang, Xiangyu Xu, Ruhao Tian, Shuai Li, Xueming Qian, Ming-Hsuan Yang

In particular, we use a motion estimation network to capture motion information from neighborhoods, thereby adaptively estimating spatially-variant motion flow, mask, kernels, weights, and offsets to obtain the MISC Filter.

Deblurring Motion Estimation

Do We Really Need a Complex Agent System? Distill Embodied Agent into a Single Model

no code implementations6 Apr 2024 Zhonghan Zhao, Ke Ma, Wenhao Chai, Xuan Wang, Kewei Chen, Dongxu Guo, Yanting Zhang, Hongwei Wang, Gaoang Wang

After distillation, embodied agents can complete complex, open-ended tasks without additional expert guidance, utilizing the performance and knowledge of a versatile MLM.

Knowledge Distillation

AI for Biomedicine in the Era of Large Language Models

no code implementations23 Mar 2024 Zhenyu Bi, Sajib Acharjee Dip, Daniel Hajialigol, Sindhura Kommu, Hanwen Liu, Meng Lu, Xuan Wang

The capabilities of AI for biomedicine span a wide spectrum, from the atomic level, where it solves partial differential equations for quantum systems, to the molecular level, predicting chemical or protein structures, and further extending to societal predictions like infectious disease outbreaks.

Language Modelling Large Language Model +1

Bridging 3D Gaussian and Mesh for Freeview Video Rendering

no code implementations18 Mar 2024 Yuting Xiao, Xuan Wang, Jiafei Li, Hongrui Cai, Yanbo Fan, Nan Xue, Minghui Yang, Yujun Shen, Shenghua Gao

To this end, we propose a novel approach, GauMesh, to bridge the 3D Gaussian and Mesh for modeling and rendering the dynamic scenes.

Novel View Synthesis

Decoupling Degradations with Recurrent Network for Video Restoration in Under-Display Camera

1 code implementation8 Mar 2024 Chengxu Liu, Xuan Wang, Yuanting Fan, Shuai Li, Xueming Qian

The pixel array of light-emitting diodes used for display diffracts and attenuates incident light, causing various degradations as the light intensity changes.

Image Restoration Video Restoration

MGE: A Training-Free and Efficient Model Generation and Enhancement Scheme

no code implementations27 Feb 2024 Xuan Wang, Zeshan Pang, Yuliang Lu, Xuehu Yan

To provide a foundation for the research of deep learning models, the construction of model pool is an essential step.

Adversarial Defense

Real-time 3D-aware Portrait Editing from a Single Image

no code implementations21 Feb 2024 Qingyan Bai, Zifan Shi, Yinghao Xu, Hao Ouyang, Qiuyu Wang, Ceyuan Yang, Xuan Wang, Gordon Wetzstein, Yujun Shen, Qifeng Chen

This work presents 3DPE, a practical method that can efficiently edit a face image following given prompts, like reference images or text descriptions, in a 3D-aware manner.

Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses

1 code implementation6 Feb 2024 Hao Fang, Yixiang Qiu, Hongyao Yu, Wenbo Yu, Jiawei Kong, Baoli Chong, Bin Chen, Xuan Wang, Shu-Tao Xia

Model Inversion (MI) attacks aim to disclose private information about the training data by abusing access to the pre-trained models.

Eye Motion Matters for 3D Face Reconstruction

1 code implementation18 Jan 2024 Xuan Wang, Mengyuan Liu

Recent advances in single-image 3D face reconstruction have shown remarkable progress in various applications.

3D Face Reconstruction

VectorTalker: SVG Talking Face Generation with Progressive Vectorisation

no code implementations18 Dec 2023 Hao Hu, Xuan Wang, Jingxiang Sun, Yanbo Fan, Yu Guo, Caigui Jiang

To address these, we propose a novel scalable vector graphic reconstruction and animation method, dubbed VectorTalker.

Image Reconstruction Talking Face Generation +1

ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Auto-Encoder in Urban Scenes

no code implementations14 Dec 2023 Tianchen Deng, Siyang Liu, Xuan Wang, Yejia Liu, Danwei Wang, Weidong Chen

Implicit neural representation has demonstrated promising results in view synthesis for large and complex scenes.

MaTe3D: Mask-guided Text-based 3D-aware Portrait Editing

no code implementations12 Dec 2023 Kangneng Zhou, Daiheng Gao, Xuan Wang, Jie Zhang, Peng Zhang, Xusen Sun, Longhao Zhang, Shiqi Yang, Bang Zhang, Liefeng Bo, Yaxing Wang, Ming-Ming Cheng

This enhances masked-based editing in local areas; second, we present a novel distillation strategy: Conditional Distillation on Geometry and Texture (CDGT).

HeadArtist: Text-conditioned 3D Head Generation with Self Score Distillation

no code implementations12 Dec 2023 Hongyu Liu, Xuan Wang, Ziyu Wan, Yujun Shen, Yibing Song, Jing Liao, Qifeng Chen

The noisy image, landmarks, and text condition are then fed into the frozen ControlNet twice for noise prediction.

See and Think: Embodied Agent in Virtual Environment

no code implementations26 Nov 2023 Zhonghan Zhao, Wenhao Chai, Xuan Wang, Li Boyi, Shengyu Hao, Shidong Cao, Tian Ye, Jenq-Neng Hwang, Gaoang Wang

Vision perception involves the interpretation of visual information in the environment, which is then integrated into the LLMs component with agent state and task instruction.

Question Answering Retrieval

XAI-CLASS: Explanation-Enhanced Text Classification with Extremely Weak Supervision

no code implementations31 Oct 2023 Daniel Hajialigol, Hanwen Liu, Xuan Wang

However, these methods ignore the importance of incorporating the explanations of the generated pseudo-labels, or saliency of individual words, as additional guidance during the text classification training process.

Question Answering Saliency Prediction +2

Efficient Reconstruction of Neural Mass Dynamics Modeled by Linear-Threshold Networks

no code implementations27 Aug 2023 Xuan Wang, Jorge Cortes

This paper studies the data-driven reconstruction of firing rate dynamics of brain activity described by linear-threshold network models.

ToonTalker: Cross-Domain Face Reenactment

no code implementations ICCV 2023 Yuan Gong, Yong Zhang, Xiaodong Cun, Fei Yin, Yanbo Fan, Xuan Wang, Baoyuan Wu, Yujiu Yang

Moreover, since no paired data is provided, we propose a novel cross-domain training scheme using data from two domains with the designed analogy constraint.

Face Reenactment Talking Face Generation

GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization

1 code implementation ICCV 2023 Hao Fang, Bin Chen, Xuan Wang, Zhi Wang, Shu-Tao Xia

Federated Learning (FL) has recently emerged as a promising distributed machine learning framework to preserve clients' privacy, by allowing multiple clients to upload the gradients calculated from their local data to a central server.

Federated Learning Image Generation

ConFL: Constraint-guided Fuzzing for Machine Learning Framework

no code implementations11 Jul 2023 Zhao Liu, Quanchen Zou, Tian Yu, Xuan Wang, Guozhu Meng, Kai Chen, Deyue Zhang

Guided by the constraints, ConFL is able to generate valid inputs that can pass the verification and explore deeper paths of kernel codes.

Decision Making valid

NOFA: NeRF-based One-shot Facial Avatar Reconstruction

no code implementations7 Jul 2023 Wangbo Yu, Yanbo Fan, Yong Zhang, Xuan Wang, Fei Yin, Yunpeng Bai, Yan-Pei Cao, Ying Shan, Yang Wu, Zhongqian Sun, Baoyuan Wu

In this work, we propose a one-shot 3D facial avatar reconstruction framework that only requires a single source image to reconstruct a high-fidelity 3D facial avatar.


ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision

no code implementations4 Jul 2023 Ming Zhong, Siru Ouyang, Minhao Jiang, Vivian Hu, Yizhu Jiao, Xuan Wang, Jiawei Han

Structured chemical reaction information plays a vital role for chemists engaged in laboratory work and advanced endeavors such as computer-aided drug design.

Life cycle economic viability analysis of battery storage in electricity market

no code implementations24 May 2023 Yinguo Yang, Yiling Ye, Zhuoxiao Cheng, Guangchun Ruan, Qiuyu Lu, Xuan Wang, Haiwang Zhong

Battery storage is essential to enhance the flexibility and reliability of electric power systems by providing auxiliary services and load shifting.

OntoType: Ontology-Guided Zero-Shot Fine-Grained Entity Typing with Weak Supervision from Pre-Trained Language Models

no code implementations21 May 2023 Tanay Komarlu, Minhao Jiang, Xuan Wang, Jiawei Han

In this study, we vision that an ontology provides a semantics-rich, hierarchical structure, which will help select the best results generated by multiple PLM models and head words.

Entity Typing Natural Language Inference +1

NeAI: A Pre-convoluted Representation for Plug-and-Play Neural Ambient Illumination

no code implementations18 Apr 2023 Yiyu Zhuang, Qi Zhang, Xuan Wang, Hao Zhu, Ying Feng, Xiaoyu Li, Ying Shan, Xun Cao

Recent advances in implicit neural representation have demonstrated the ability to recover detailed geometry and material from multi-view images.

MEGClass: Extremely Weakly Supervised Text Classification via Mutually-Enhancing Text Granularities

1 code implementation4 Apr 2023 Priyanka Kargupta, Tanay Komarlu, Susik Yoon, Xuan Wang, Jiawei Han

By preserving the heterogeneity of potential classes, MEGClass can select the most informative class-indicative documents as iterative feedback to enhance the initial word-based class representations and ultimately fine-tune a pre-trained text classifier.

text-classification Text Classification

SVDE: Scalable Value-Decomposition Exploration for Cooperative Multi-Agent Reinforcement Learning

no code implementations16 Mar 2023 Shuhan Qi, Shuhao Zhang, Qiang Wang, Jiajia Zhang, Jing Xiao, Xuan Wang

In this paper, we propose a scalable value-decomposition exploration (SVDE) method, which includes a scalable training mechanism, intrinsic reward design, and explorative experience replay.

Multi-agent Reinforcement Learning reinforcement-learning +3

Context Understanding in Computer Vision: A Survey

no code implementations10 Feb 2023 Xuan Wang, Zhigang Zhu

In this survey, different context information that has been used in computer vision tasks is reviewed.

Action Detection Image Classification +4

FSI: Frequency and Spatial Interactive Learning for Image Restoration in Under-Display Cameras

no code implementations ICCV 2023 Chengxu Liu, Xuan Wang, Shuai Li, Yuzhi Wang, Xueming Qian

In this paper, we introduce a new perspective to handle various diffraction in UDC images by jointly exploring the feature restoration in the frequency and spatial domains, and present a Frequency and Spatial Interactive Learning Network (FSI).

Image Restoration

A Data Quality Assessment Framework for AI-enabled Wireless Communication

no code implementations13 Dec 2022 Hanning Tang, Liusha Yang, Rui Zhou, Jing Liang, Hong Wei, Xuan Wang, Qingjiang Shi, Zhi-Quan Luo

Using artificial intelligent (AI) to re-design and enhance the current wireless communication system is a promising pathway for the future sixth-generation (6G) wireless network.

3D GAN Inversion with Facial Symmetry Prior

no code implementations CVPR 2023 Fei Yin, Yong Zhang, Xuan Wang, Tengfei Wang, Xiaoyu Li, Yuan Gong, Yanbo Fan, Xiaodong Cun, Ying Shan, Cengiz Oztireli, Yujiu Yang

It is natural to associate 3D GANs with GAN inversion methods to project a real image into the generator's latent space, allowing free-view consistent synthesis and editing, referred as 3D GAN inversion.

Image Reconstruction Neural Rendering

An Efficient Split Fine-tuning Framework for Edge and Cloud Collaborative Learning

no code implementations30 Nov 2022 Shaohuai Shi, Qing Yang, Yang Xiang, Shuhan Qi, Xuan Wang

To enable the pre-trained models to be fine-tuned with local data on edge devices without sharing data with the cloud, we design an efficient split fine-tuning (SFT) framework for edge and cloud collaborative learning.

VideoReTalking: Audio-based Lip Synchronization for Talking Head Video Editing In the Wild

1 code implementation27 Nov 2022 Kun Cheng, Xiaodong Cun, Yong Zhang, Menghan Xia, Fei Yin, Mingrui Zhu, Xuan Wang, Jue Wang, Nannan Wang

Our system disentangles this objective into three sequential tasks: (1) face video generation with a canonical expression; (2) audio-driven lip-sync; and (3) face enhancement for improving photo-realism.

Video Editing Video Generation

SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

1 code implementation CVPR 2023 Wenxuan Zhang, Xiaodong Cun, Xuan Wang, Yong Zhang, Xi Shen, Yu Guo, Ying Shan, Fei Wang

We present SadTalker, which generates 3D motion coefficients (head pose, expression) of the 3DMM from audio and implicitly modulates a novel 3D-aware face render for talking head generation.

Image Animation Talking Head Generation

Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars

2 code implementations CVPR 2023 Jingxiang Sun, Xuan Wang, Lizhen Wang, Xiaoyu Li, Yong Zhang, Hongwen Zhang, Yebin Liu

We propose a novel 3D GAN framework for unsupervised learning of generative, high-quality and 3D-consistent facial avatars from unstructured 2D images.

Face Model

Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields

no code implementations CVPR 2023 Yue Chen, Xingyu Chen, Xuan Wang, Qi Zhang, Yu Guo, Ying Shan, Fei Wang

Neural Radiance Fields (NeRF) have achieved photorealistic novel views synthesis; however, the requirement of accurate camera poses limits its application.

Hybrid HMM Decoder For Convolutional Codes By Joint Trellis-Like Structure and Channel Prior

1 code implementation26 Oct 2022 Haoyu Li, Xuan Wang, Tong Liu, Dingyi Fang, Baoying Liu

In this paper, we propose the use of a Hidden Markov Model (HMM) for the reconstruction of convolutional codes and decoding by the Viterbi algorithm.

Decoder Edge-computing

Distributed Differentiable Dynamic Game for Multi-robot Coordination

no code implementations18 Jul 2022 Xuan Wang, Yizhi Zhou, Wanxin Jin

In the inverse problem, where each robot aims to find (learn) its objective (and dynamics) parameters to mimic given coordination demonstrations, D3G proposes a differentiation solver based on Differential Pontryagin's Maximum Principle, which allows each robot to update its parameters in a distributed and coordinated manner.

Neural Parameterization for Dynamic Human Head Editing

no code implementations1 Jul 2022 Li Ma, Xiaoyu Li, Jing Liao, Xuan Wang, Qi Zhang, Jue Wang, Pedro Sander

Implicit radiance functions emerged as a powerful scene representation for reconstructing and rendering photo-realistic views of a 3D scene.

Resilience for Distributed Consensus with Constraints

no code implementations12 Jun 2022 Xuan Wang, Shaoshuai Mou, Shreyas Sundaram

By applying this new device to multi-agent systems, we introduce network and constraint redundancy conditions under which resilient constrained consensus can be achieved with an exponential convergence rate.

IDE-3D: Interactive Disentangled Editing for High-Resolution 3D-aware Portrait Synthesis

1 code implementation31 May 2022 Jingxiang Sun, Xuan Wang, Yichun Shi, Lizhen Wang, Jue Wang, Yebin Liu

Existing 3D-aware facial generation methods face a dilemma in quality versus editability: they either generate editable results in low resolution or high-quality ones with no editing flexibility.

3D-Aware Image Synthesis

You Need to Read Again: Multi-granularity Perception Network for Moment Retrieval in Videos

1 code implementation25 May 2022 Xin Sun, Xuan Wang, Jialin Gao, Qiong Liu, Xi Zhou

Moment retrieval in videos is a challenging task that aims to retrieve the most relevant video moment in an untrimmed video given a sentence description.

Moment Retrieval Reading Comprehension +2

Generating Tips from Song Reviews: A New Dataset and Framework

no code implementations14 May 2022 Jingya Zang, Cuiyun Gao, Yupan Chen, Ruifeng Xu, Lanjun Zhou, Xuan Wang

However, reviews of music songs are generally long in length and most of them are non-informative for users.

Privacy-Preserving Distributed Machine Learning Made Faster

no code implementations12 May 2022 Zoe L. Jiang, Jiajing Gu, Hongxiao Wang, Yulin Wu, Junbin Fang, Siu-Ming Yiu, Wenjian Luo, Xuan Wang

So machine learning tasks need to be spread across multiple servers, turning the centralized machine learning into a distributed one.

BIG-bench Machine Learning Privacy Preserving

Efficient Distributed Framework for Collaborative Multi-Agent Reinforcement Learning

no code implementations11 May 2022 Shuhan Qi, Shuhao Zhang, Xiaohan Hou, Jiajia Zhang, Xuan Wang, Jing Xiao

However, due to the slow sample collection and poor sample exploration, there are still some problems in multi-agent reinforcement learning, such as unstable model iteration and low training efficiency.

reinforcement-learning Reinforcement Learning (RL) +1

UV Volumes for Real-time Rendering of Editable Free-view Human Performance

1 code implementation CVPR 2023 Yue Chen, Xuan Wang, Xingyu Chen, Qi Zhang, Xiaoyu Li, Yu Guo, Jue Wang, Fei Wang

Neural volume rendering enables photo-realistic renderings of a human performer in free-view, a critical task in immersive VR/AR applications.

StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN

1 code implementation8 Mar 2022 Fei Yin, Yong Zhang, Xiaodong Cun, Mingdeng Cao, Yanbo Fan, Xuan Wang, Qingyan Bai, Baoyuan Wu, Jue Wang, Yujiu Yang

Our framework elevates the resolution of the synthesized talking face to 1024*1024 for the first time, even though the training dataset has a lower resolution.

Facial Editing Talking Face Generation +1

Hallucinated Neural Radiance Fields in the Wild

no code implementations CVPR 2022 Xingyu Chen, Qi Zhang, Xiaoyu Li, Yue Chen, Ying Feng, Xuan Wang, Jue Wang

This paper studies the problem of hallucinated NeRF: i. e., recovering a realistic NeRF at a different time of day from a group of tourism images.

Hallucination Novel View Synthesis

HDR-NeRF: High Dynamic Range Neural Radiance Fields

no code implementations CVPR 2022 Xin Huang, Qi Zhang, Ying Feng, Hongdong Li, Xuan Wang, Qing Wang

The key to our method is to model the physical imaging process, which dictates that the radiance of a scene point transforms to a pixel value in the LDR image with two implicit functions: a radiance field and a tone mapper.

Vocal Bursts Intensity Prediction

Deblur-NeRF: Neural Radiance Fields from Blurry Images

1 code implementation CVPR 2022 Li Ma, Xiaoyu Li, Jing Liao, Qi Zhang, Xuan Wang, Jue Wang, Pedro V. Sander

We demonstrate that our method can be used on both camera motion blur and defocus blur: the two most common types of blur in real scenes.

3D Scene Reconstruction Novel View Synthesis

Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training

1 code implementation EMNLP 2021 Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji, Jiawei Han

We study the problem of training named entity recognition (NER) models using only distantly-labeled data, which can be automatically obtained by matching entity mentions in the raw text with entity types in a knowledge base.

Language Modelling named-entity-recognition +2

UniFaceGAN: A Unified Framework for Temporally Consistent Facial Video Editing

no code implementations12 Aug 2021 Meng Cao, HaoZhi Huang, Hao Wang, Xuan Wang, Li Shen, Sheng Wang, Linchao Bao, Zhifeng Li, Jiebo Luo

Compared with the state-of-the-art facial image editing methods, our framework generates video portraits that are more photo-realistic and temporally smooth.

3D Reconstruction Face Reenactment +3

Robust Pose Transfer with Dynamic Details using Neural Video Rendering

no code implementations27 Jun 2021 Yang-tian Sun, Hao-Zhi Huang, Xuan Wang, Yu-Kun Lai, Wei Liu, Lin Gao

Moreover, we introduce a concise temporal loss in the training stage to suppress the detail flickering that is made more visible due to high-quality dynamic details generated by our method.

2k 4k +3

D2CFR: Minimize Counterfactual Regret with Deep Dueling Neural Network

no code implementations26 May 2021 Huale Li, Xuan Wang, Zengyue Guo, Jiajia Zhang, Shuhan Qi

Towards this problem, a recent method, \textit{Deep CFR} alleviates the need for abstraction and expert knowledge by applying deep neural networks directly to CFR in full games.


Adaptive Compact Attention For Few-shot Video-to-video Translation

no code implementations30 Nov 2020 Risheng Huang, Li Shen, Xuan Wang, Cheng Lin, Hao-Zhi Huang

This paper proposes an adaptive compact attention model for few-shot video-to-video translation.


Reconstruct Anomaly to Normal: Adversarial Learned and Latent Vector-constrained Autoencoder for Time-series Anomaly Detection

no code implementations14 Oct 2020 Chunkai Zhang, Wei Zuo, Xuan Wang

To minimize the reconstruction error of normal data and maximize this of anomaly data, we do not just ensure normal data to reconstruct well, but also try to make the reconstruction of anomaly data consistent with the distribution of normal data, then anomalies will get higher reconstruction errors.

Anomaly Detection Time Series +1

RLCFR: Minimize Counterfactual Regret by Deep Reinforcement Learning

no code implementations10 Sep 2020 Huale Li, Xuan Wang, Fengwei Jia, Yi-Fan Li, Yulin Wu, Jiajia Zhang, Shuhan Qi

Extensive experimental results on various games have shown that the generalization ability of our method is significantly improved compared with existing state-of-the-art methods.

counterfactual Decision Making +2

Task-agnostic Temporally Consistent Facial Video Editing

no code implementations3 Jul 2020 Meng Cao, Hao-Zhi Huang, Hao Wang, Xuan Wang, Li Shen, Sheng Wang, Linchao Bao, Zhifeng Li, Jiebo Luo

Compared with the state-of-the-art facial image editing methods, our framework generates video portraits that are more photo-realistic and temporally smooth.

3D Reconstruction Video Editing

Review of Learning-Assisted Power System Optimization

1 code implementation1 Jul 2020 Guangchun Ruan, Haiwang Zhong, Guanglun Zhang, Yiliu He, Xuan Wang, Tianjiao Pu

With dramatic breakthroughs in recent years, machine learning is showing great potential to upgrade the toolbox for power system optimization.

Systems and Control Systems and Control Optimization and Control

Real-time Universal Style Transfer on High-resolution Images via Zero-channel Pruning

no code implementations16 Jun 2020 Jie An, Tao Li, Hao-Zhi Huang, Li Shen, Xuan Wang, Yongyi Tang, Jinwen Ma, Wei Liu, Jiebo Luo

Extracting effective deep features to represent content and style information is the key to universal style transfer.

Style Transfer

CPOT: Channel Pruning via Optimal Transport

no code implementations21 May 2020 Yucong Shen, Li Shen, Hao-Zhi Huang, Xuan Wang, Wei Liu

Recent advances in deep neural networks (DNNs) lead to tremendously growing network parameters, making the deployments of DNNs on platforms with limited resources extremely difficult.

Image-to-Image Translation Translation

Minimally Supervised Categorization of Text with Metadata

1 code implementation1 May 2020 Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han

Then, based on the same generative process, we synthesize training samples to address the bottleneck of label scarcity.

Document Classification

Comprehensive Named Entity Recognition on CORD-19 with Distant or Weak Supervision

no code implementations27 Mar 2020 Xuan Wang, Xiangchen Song, Bangzheng Li, Yingjun Guan, Jiawei Han

We created this CORD-NER dataset with comprehensive named entity recognition (NER) on the COVID-19 Open Research Dataset Challenge (CORD-19) corpus (2020-03-13).

named-entity-recognition Named Entity Recognition +1

Context-aware Attention Model for Coreference Resolution

no code implementations25 Sep 2019 Yufei Li, Xiangyu Zhou, Jie Ma, Yu Long, Xuan Wang, Chen Li

Coreference resolution is an important task for gaining more complete understanding about texts by artificial intelligence.


Variational Autoregressive Decoder for Neural Response Generation

no code implementations EMNLP 2018 Jiachen Du, Wenjie Li, Yulan He, Ruifeng Xu, Lidong Bing, Xuan Wang

Combining the virtues of probability graphic models and neural networks, Conditional Variational Auto-encoder (CVAE) has shown promising performance in applications such as response generation.

Decoder Response Generation

Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning

2 code implementations30 Jan 2018 Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis Langlotz, Jiawei Han

Motivation: State-of-the-art biomedical named entity recognition (BioNER) systems often require handcrafted features specific to each entity type, such as genes, chemicals and diseases.

Feature Engineering Multi-Task Learning +4

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