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Xin (Eric) Wang

Ph.D. candidate

UCSB NLP Group,
UC Santa Barbara,
CA 93106, USA

Email: xwang [at] cs [dot] ucsb [dot] edu



Bio

Xin Wang is a final-year Ph.D. candidate majoring in computer science at the University of California, Santa Barbara. Currently he is working with Professor William Yang Wang and Yuan-Fang Wang. Xin received the Bachelor of Engineering degree in computer science from Zhejiang University in 2015. He was fortunate to intern and collabrate with researchers at Google AI, Facebook AI Research, ByteDance AI Lab, Microsoft Research, and Adobe Research. He received the CVPR Best Student Paper Award in 2019.

His research interests include natural language processing, computer vision, and machine learning. More specifically,

I am on the academic job market.


News

[10/2019] Organize the ACL 2020 Workshop on Advances in Language and Vision Research (ALVR). Welcome to participate!
[10/2019] Gave an invited talk at the ICCV 2019 Workshop on Person In Context.
[10/2019] Gave a talk of VATEX Captioning Challenge at the ICCV 2019 Workshop on Closing the Loop Between Vision and Language.
[06/2019] Received CVPR 2019 Best Student Paper Award.
[06/2019] Co-organize the ICCV 2019 Workshop on Closing the Loop Between Vision and Language.
[06/2019] Gave an invited talk at Facebook AI.
[01/2019] Served as a Session Chair for AAAI 2019 (natural language processing).


Publications

Technical Reports

Cross-Lingual Vision-Language Navigation
An Yan*, Xin Wang*, Jiangtao Feng, Lei Li, William Yang Wang
Tech report 2019

[arXiv] [bibtex]

Deep Reinforcement Learning for Visual Object Tracking in Videos
Da Zhang, Hamid Maei, Xin Wang, Yuan-Fang Wang
Tech report 2017

[arXiv] [bibtex]

Conference Papers

Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs
Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang
AAAI 2020
Oral presentation

[coming soon]

TIGEr: Text-to-Image Grounding for Image Caption Evaluation
Ming Jiang, Qiuyuan Huang, Lei Zhang, Xin Wang, Pengchuan Zhang, Zhe Gan, Jana Diesner, Jianfeng Gao
EMNLP-IJCNLP 2019

[arXiv] [bibtex]

VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research
Xin Wang*, Jiawei Wu*, Junkun Chen, Lei Li, Yuan-Fang Wang, William Yang Wang
ICCV 2019
Oral presentation (three Strong Accepts)

[arXiv] [Website] [bibtex]

Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation
Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang
CVPR 2019
Best Student Paper (1/5160=0.02%)

[arXiv] [Code] [bibtex]

MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment
Da Zhang, Xiyang Dai, Xin Wang, Yuan-Fang Wang, Larry S. Davis
CVPR 2019

[arXiv] [bibtex]

Self-Supervised Dialogue Learning
Jiawei Wu, Xin Wang, William Yang Wang
ACL 2019

[arXiv] [bibtex]

Self-Supervised Learning for Contextualized Extractive Summarization
Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang
ACL 2019

[arXiv] [Code] [bibtex]

Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models
Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin
ACL 2019

[arXiv] [bibtex]

Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation
Jiawei Wu, Xin Wang, William Yang Wang
NAACL 2019
Oral presentation

[arXiv] [Code] [bibtex]

Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning
Xin Wang, Jiawei Wu, Da Zhang, Yu Su, William Yang Wang
AAAI 2019
Oral presentation

[arXiv] [Code] [bibtex]

Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation
Xin Wang*, Wenhan Xiong*, Hongmin Wang, William Yang Wang
ECCV 2018

[arXiv] [bibtex]

XL-NBT: A Cross-lingual Neural Belief Tracking Framework
Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan, William Yang Wang
EMNLP 2018

[arXiv] [Code] [bibtex]

No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling
Xin Wang*, Wenhu Chen*, Yuan-Fang Wang, William Yang Wang
ACL 2018
Oral presentation

[arXiv] [Code] [Video] [Slides (pptx)] [Slides (pdf)] [bibtex]

S3D: Single Shot multi-Span Detector via Fully 3D Convolutional Network
Da Zhang, Xiyang Dai, Xin Wang, Yuan-Fang Wang
BMVC 2018
Oral presentation

[arXiv] [Code] [Video] [Slides] [bibtex]

Video Captioning via Hierarchical Reinforcement Learning
Xin Wang, Wenhu Chen, Jiawei Wu, Yuan-Fang Wang, William Yang Wang
CVPR 2018

[arXiv] [Paper] [Supp] [Dataset] [bibtex]

Watch, Listen, and Describe: Globally and Locally Aligned Cross-Modal Attentions for Video Captioning
Xin Wang, Yuan-Fang Wang, William Yang Wang
NAACL-HLT 2018

[arXiv] [Paper] [bibtex]

Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer
Xin Wang, Geoffrey Oxholm, Da Zhang, Yuan-Fang Wang
CVPR 2017

[arXiv] [Paper] [Supp] [Images] [Code (Third-Party)] [bibtex]



Products

ProjectCloak: Remove Unwanted Objects in Video
In collabration with Geoffrey Oxholm, Oliver Wang, Eli Shechtman, Mike Lukac
2017 MAX Sneak
2018 MAX Keynote
Featured in Adobe After Effects! Link

[Project] [Blog] [Video]

ArtisticEye: A Real-time Application for High-resolution Artistic Style Transfer
In collabration with Geoffrey Oxholm
Applied to the de Young Museum in San Francisco
Honored to present the product prototype to the Adobe CEO Shantanu Narayen face to face

[Blog] [Video]



Experience

Google AI, Mountain View, US

       Research Intern,   Summer 2019

       Mentors: Sujith Ravi, Zornitsa Kozareva

Facebook AI Research (FAIR), Menlo Park, US

       Graduate Researcher,   Spring 2019

       Mentors: Xinlei Chen, Marcus Rohrbach, Dhruv Batra

Microsoft Research AI, Redmond, US

       Research Intern,   Summer 2018

       Mentors: Lei Zhang, Asli Celikyilmaz, Jianfeng Gao, Qiuyuan Huang

Adobe Research, San Francisco, US

       Research Intern,   Summer 2017

       Mentors: Geoffrey Oxholm, Oliver Wang, Eli Shechtman, Mike Lukac

Adobe Research, San Francisco, US

       Research Intern,   Summer 2016

       Mentor: Geoffrey Oxholm

Exacloud Inc., Hangzhou, China

       Software Engineer Intern,   12. 2014 - 03. 2015

HCI, Graphics and Computer Vision Group, HKU

       Research Assistant,   07. 2014 - 09. 2014

       Advisor: Yizhou Yu



Teaching

2018 Winter Guest Lecturer CS281b: Computer Vision and Image Analysis
2017 Winter Teaching Assistant CS190I: Introduction to Natual Language Processing
2016 Fall Teaching Assistant CS180: Computer Graphics
2016 Winter Teaching Assistant CS48: Computer Science Project
2015 Fall Teaching Assistant CS16: Problem Solving with C++


Service

  • Organizer:
  • Session Chair:
    • Natural Language Processing (NLP), AAAI 2019
  • Program Committee / Reviewer: CVPR 2020,   AAAI 2020,   CoRL 2019,   NeurIPS 2019,   EMNLP-IJCNLP 2019,   ICCV 2019,   CVPR 2019,   ACL 2019,   NAACL 2019,   SGRL 2019,   CoNLL 2019,   SpLU-RoboNLP 2019,   AAAI 2019,   EMNLP 2018,   SoCal NLP 2018