Xin (Eric) WangDirector, UCSC ERIC LabAssistant ProfessorDepartment of Computer Science and Engineering Jack Baskin School of Engineering University of California, Santa Cruz Email: xwang366 [at] ucsc [dot] edu
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Bio
Xin (Eric) Wang is an Assistant Professor of Computer Science and Engineering at UC Santa Cruz. His research interests include Natural Language Processing, Computer Vision, and Machine Learning, with an emphasis on building embodied AI agents that can communicate with humans using natural language to perform real-world multimodal tasks. He obtained his Ph.D. degree from UC Santa Barbara and Bachelor's degree from Zhejiang University. He also worked at Google AI, Facebook AI Research, Microsoft Research, and Adobe Research.Xin has served as Area Chair for ACL, NAACL, EMNLP, etc., and Senior Program Committee (SPC) for AAAI and IJCAI. He organized multiple workshops and tutorials at CVPR, ICCV, ACL, NAACL, AACL, etc. He has received a CVPR Best Student Paper Award (2019), an Amazon Alexa Prize Award (2022-2023), a Google Faculty Research Award (2022-2023), etc.
Research Interests
Xin's research interests include Natural Language Processing, Computer Vision, and Machine Learning, with an emphasis on building multimodal embodied agents that can communicate with humans using natural language to perform real-world tasks.- Natural Language Processing (natural language grounding, knowledge reasoning, fairness and bias, multilingualism)
- Computer Vision (vision and language, visual navigation and robotics, activity understanding in videos)
- Machine Learning (multimodal machine learning, self-supervised learning, reinforcement learning, efficiency, causality)
Hiring
I am looking for highly-motivated students. Please read the information for prospective students and visitors and check out the most beautiful and unique campus of UCSC [YouTube video | bilibili video]. There are openings for internships (remote and in-person) in Summer 2022.Teaching
| Winter 2021 | CSE 142: Machine Learning |
| Spring 2021 | CSE 290C: Multimodal Deep Learning |
| Fall 2021 | CSE 142: Machine Learning |
| Winter 2022 | CSE 244B: Machine Learning for Natural Language Processing |
| Spring 2022 | CSE 142: Machine Learning |
News
| [NEW!] | Our SlugJARVIS team won the Alexa Prize SimBot Public Benchmark Challenge! link |
| [NEW!] | Our paper on Understanding Instance-Level Impact of Fairness Constraints accepted to ICML 2022! |
| [NEW!] | Two papers accepted to NAACL 2022 as Oral presentations! Topics include (1) Imagination-Augmented Natural Language Understanding and (2) Diagnosing Vision-and-Language Navigation. |
| [NEW!] | Invited talk at Fudan University (03/2022). |
| [NEW!] | Two papers accepted to CVPR 2022! Topics include (1) Compositional Temporal Grounding and (2) Language-based Video Editing. |
| [NEW!] | Three papers accepted to ACL 2022! Topics include (1) Vision-and-Language Navigation Survey, (2) Multilingual Fairness, and (3) Interpretable Research Replication Prediction. |
| [NEW!] | We have received a Google Faculty Research Award. Thanks Google! |
| [NEW!] | Invited speaker at the CVPR 2022 Workshop on Open-Domain Retrieval Under a Multi-Modal Setting. |
| [NEW!] | Invited talk at USC ISI (02/2022). |
| [NEW!] | Our SlugJARVIS team received an Amazon Alexa Prize Award to work on Alexa Prize SimBot Challenge. Thanks Amazon! |
| [NEW!] | Serving as Area Chair for ACL 2022 and NAACL 2022. |
| [NEW!] | We have received AAII Interdisciplinary Research Award. |
| [NEW!] | Invited talk at Microsoft Research (11/2021). |
| [NEW!] | Our paper on Mitigating Gender Bias in Image Search is accepted to EMNLP 2021 as an Oral paper. Congratulations Jialu! |
| [NEW!] | Invited talk at Stanford Vision Lab (10/2021). |
| [NEW!] | Received Google Cloud Research Credits. |
| [NEW!] | Our VALUE paper is accepted to NeurIPS 2021 (Datasets and Benchmarks). Congratulations to all the authors! |
| [NEW!] | Serving as Senior Program Committee (SPC) for AAAI 2022 and IJCAI-ECAI 2022. |
| [NEW!] | Co-organizing the 4th Workshop on Closing the Loop Between Vision and Language (CLVL) at ICCV 2021! |
| [NEW!] | I am giving a Tutorial on "From VQA to VLN: Recent Advances in Vision-and-Language Research" at CVPR 2021! |
| [NEW!] | Co-organizing the Second Workshop on Advances in Language and Vision Research (ALVR) at NAACL 2021! |
| [NEW!] | I am giving a keynote talk at the Third Workshop on Multimodal Artificial Intelligence at NAACL 2021 on June 6th! |
| [NEW!] | Our paper on Visual Question Rewriting was accepted to SIGIR 2021! |
| [NEW!] | I am serving as Area Chair for CoNLL 2021 and NLPCC 2021. |
| [NEW!] | Invited talk at Arizona State University. |
| [NEW!] | Two papers on multimodal style transfer learning for VLN and visual comparison were accepted to EACL 2020! |
| [NEW!] | I am serving as Area Chair for NAACL 2021. |
| [NEW!] | I am serving as Senior Program Committee (SPC) for IJCAI 2021. |
| [NEW!] | Three papers were accepted to EMNLP 2020 (two conference papers and one Findings paper)! |
| [NEW!] | Two papers were accepted to ECCV 2020 (the adversarial path sampling paper was seleted as Spotlight)! |
| [NEW!] | I successfully defended my Ph.D. Dissertation Closing the Loop Between Language and Vision for Embodied Agents. Thanks to the committee and everyone who has helped me along the Ph.D. journey! |
| [NEW!] | I am serving as Area Chair and Session Chair for EMNLP 2020. |
| [NEW!] | Co-organizing the workshop on Advances in Language and Vision Research (ALVR) at ACL 2020! |
| [NEW!] | Two papers were accepted to CVPR 2020 (the REVERIE paper was selected as Oral)! |
| [03/2020] | Invited panelist at the GPU Technology Conference (GTC) 2020. |
| [11/2019] | Organizer of the workshop on Language & Vision with applications to Video Understanding at CVPR 2020. |
| [11/2019] | Organizer of the tutorial on Self-Supervised Deep Learning for NLP at AACL-IJCNLP 2020. |
| [10/2019] | Invited speaker at the ICCV 2019 Workshop on Person In Context. |
| [06/2019] | Recipient of the CVPR 2019 Best Student Paper Award. |
| [06/2019] | Co-Organizer of the workshop on Closing the Loop Between Vision and Language at ICCV 2019. |
| [06/2019] | Invited talk at Facebook AI. |
| [01/2019] | Session Chair for AAAI 2019 (natural language processing). |
Selected Awards / Honors
Google Faculty Research Award, 2022-2023.Amazon Alexa Prize Award, 2022-2023.
AAII Interdisciplinary Research Award, 2022.
UCSC New Faculty Research Grants, 2021, 2022.
CVPR Best Student Paper Award, 2019.
Selected Publications
☆ (co-)advisee2022
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Understanding Instance-Level Impact of Fairness Constraints |
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Imagination-Augmented Natural Language Understanding |
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Diagnosing Vision-and-Language Navigation: What Really Matters |
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Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning |
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M3L: Language-based Video Editing via Multi-Modal Multi-Level Transformer |
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Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions |
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Assessing Multilingual Fairness in Pretrained Multimodal Representations |
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Interpretable Research Replication Prediction via Variational Contextual Consistency Sentence Masking |
2021
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Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search |
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VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation |
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Visual Question Rewriting for Increasing Response Rate |
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Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation |
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L2C: Describing Visual Differences Needs Semantic Understanding of Individuals |
2020
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Closing the Loop Between Language and Vision for Embodied Agents |
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SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning |
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Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations |
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Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation |
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Environment-agnostic Multitask Learning for Natural Language Grounded Navigation |
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Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling |
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Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation |
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REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments |
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Vision-Language Navigation Policy Learning and Adaptation
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Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs |
2019
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TIGEr: Text-to-Image Grounding for Image Caption Evaluation |
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VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research |
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Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation |
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MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment |
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Self-Supervised Dialogue Learning |
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Self-Supervised Learning for Contextualized Extractive Summarization |
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Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models |
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Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation |
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Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning |
2018
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Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation |
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XL-NBT: A Cross-lingual Neural Belief Tracking Framework |
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No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling |
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S3D: Single Shot multi-Span Detector via Fully 3D Convolutional Network |
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Video Captioning via Hierarchical Reinforcement Learning |
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Watch, Listen, and Describe: Globally and Locally Aligned Cross-Modal Attentions for Video Captioning |
2017
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Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer |
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Deep Reinforcement Learning for Visual Object Tracking in Videos |
Products
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ProjectCloak: Remove Unwanted Objects in Video |
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ArtisticEye: A Real-time Application for High-resolution Artistic Style Transfer |
Experience
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Google AI, Mountain View, US Research Intern, Summer 2019 Mentors: Sujith Ravi, Zornitsa Kozareva |
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Facebook AI Research (FAIR), Menlo Park, US Graduate Researcher, Spring 2019 Mentors: Xinlei Chen, Marcus Rohrbach, Dhruv Batra |
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Microsoft Research AI, Redmond, US Research Intern, Summer 2018 Mentors: Lei Zhang, Asli Celikyilmaz, Jianfeng Gao |
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Adobe Research, San Francisco, US Research Intern, Summer 2017 Mentors: Geoffrey Oxholm, Oliver Wang, Eli Shechtman, Mike Lukac |
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Adobe Research, San Francisco, US Research Intern, Summer 2016 Mentor: Geoffrey Oxholm |
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Exacloud Inc., Hangzhou, China Software Engineer Intern, 12. 2014 - 03. 2015 |
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HCI, Graphics and Computer Vision Group, HKU Research Assistant, Summer 2014 Advisor: Yizhou Yu |
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Service
- Workshop on Human Interaction for Robot Navigation, ICCV 2021
- 4th Workshop on Closing the Loop Between Vision and Language (CLVL), ICCV 2021
- From VQA to VLN: Recent Advances in Vision-and-Language Research Tutorial, CVPR 2021
- 2nd Workshop on Advances in Language and Vision Research (ALVR), NAACL 2021
- Workshop on Advances in Language and Vision Research (ALVR), ACL 2020
- Workshop on Language & Vision with applications to Video Understanding, CVPR 2020
- Tutorial on Self-Supervised Deep Learning for NLP, AACL-IJCNLP 2020
- 3rd Workshop on Closing the Loop Between Vision and Language (CLVL), ICCV 2019
- NAACL 2022
- ACL 2022
- IJCAI-ECAI 2022
- AAAI 2022
- CoNLL 2021
- NLPCC 2021 (Multimodality)
- NAACL 2021 (Interpretability and Analysis of Models for NLP)
- IJCAI 2021
- EMNLP 2020 (Interpretability and Analysis of Models for NLP)
- NAACL 2021
- EMNLP 2020 (Language Grounding to Vision, Robotics and Beyond)
- AAAI 2019 (Natural Language Processing)