Search Results for author: Xuan Wang

Found 54 papers, 13 papers with code

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

no code implementations 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 NER

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 implementations30 Nov 2022 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

no code implementations27 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

no code implementations22 Nov 2022 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.

Talking Head Generation

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

no code implementations21 Nov 2022 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.

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

1 code implementation21 Nov 2022 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

Syntax-Guided Domain Adaptation for Aspect-based Sentiment Analysis

no code implementations10 Nov 2022 Anguo Dong, Cuiyun Gao, Yan Jia, Qing Liao, Xuan Wang, Lei Wang, Jing Xiao

In this work, we propose a novel Syntax-guided Domain Adaptation Model, named SDAM, for more effective cross-domain ABSA.

Aspect-Based Sentiment Analysis Domain Adaptation +1

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.

Edge-computing

Learning multi-robot coordination from demonstrations

no code implementations18 Jul 2022 Xuan Wang, Wanxin Jin

We represent multi-robot coordination as a dynamic game, where the behavior of a robot is dictated by its own dynamics and objective that also depends on others' behavior.

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

This paper proposes a new approach that enables multi-agent systems to achieve resilient constrained consensus in the presence of Byzantine attacks, in contrast to existing literature that is only applicable for unconstrained resilient consensus problems.

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 +1

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 +1

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

1 code implementation27 Mar 2022 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.

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.

Deblur-NeRF: Neural Radiance Fields from Blurry Images

no code implementations 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 +1

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.

Neural Rendering Pose Transfer +1

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.

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 Anomaly Detection

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.

Decision Making reinforcement-learning +1

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 NER

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.

coreference-resolution Coreference Resolution

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.

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 +2

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