Recent News

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  • [28/09/2021] One paper gets accepted to NeurIPS-2021.
  • [10/03/2021] One paper gets accepted to NAACL-2021.
  • [28/02/2021] Three papers get accepted to CVPR-2021.
  • [25/09/2020] One paper gets accepted to NeurIPS-2020.
  • [17/09/2020] One paper on video captioning gets accepted to Neurcomputing.
  • [01/07/2020] One paper gets accepted to ECCV-2020.
  • [21/01/2020] Started work at Adobe Research.

Publications

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Document intelligence automates the extraction of information from documents and supports many business applications. Recent …
NeurIPS 2021

Recent studies indicate that NLU models are prone to rely on shortcut features for prediction. As a result, these models could …
NAACL 2021

Recent study on detecting facial action units (AU) has utilized auxiliary information (i.e., facial landmarks, relationship among AUs …
CVPR 2021

In instance-level detection tasks (e.g., object detection), reducing input resolution is an easy option to improve runtime efficiency. …
CVPR 2021

We propose SelfDoc, a task-agnostic pre-training framework for document image analysis. Because documents are multimodal displays and …
CVPR 2021

Most recent image captioning works are conducted in English as the majority of image-caption datasets are in English. However, there …
PDF

Structured representations of images according to visual relationships are beneficial for many vision and vision-language applications. …
NeurIPS 2020

The explosion of video data on the internet requires effective and efficient technology to generate captions automatically for people …
Neurocomputing

The prevalent approach to the image captioning is an encoder-decoder framework, where the combination of convolutional neural networks …
ECCV 2020

Mobile energy storage systems (MESSs) provide mobility and flexibility to enhance distribution system resilience. The paper proposes a …
Preprint IEEE PES GM 2020

We, as humans, can easily use our vision and language capabilities to accomplish a wide variety of tasks that combine the image and the …
PDF

With the rapid growth of video data and the increasing demands of various applications such as intelligent video search and assistance …
ACMMM 2019

Most of the existing deep learning based image captioning methods are fully-supervised models, which require large-scale paired …
PDF Code ICCV 2019

Scene graph generation has received growing attention with advancement image understanding tasks such as object detection, attributes …
CVPR 2019

Image captioning is a multimodal task involving computer vision and natural language processing, where the goal is to learn a mapping …
PDF Code ECCV 2018

Textual-visual cross-modal retrieval has been a hot research topic in both computer vision and natural language processing communities. …
PDF CVPR 2018

The existing image captioning approaches typically train a one-stage sentence decoder, which is difficult to generate rich fine-grained …
PDF Code AAAI 2018

Language Models based on recurrent neural networks have dominated recent image caption generation tasks. In this paper, we introduce a …
PDF Code ICCV 2017

In this paper, we provide a broad survey of the recent advances in convolutional neural networks. We detailize the improvements of CNN …
PDF Pattern Recognition

Miscellaneous

Conference Reviewer

  • Senior Program Committee of IJCAI (2021).
  • Program Committee of AAAI (2019,2020,2021), IJCAI (2021), NNACL (2020).
  • ICLR(2020), NeruIPS(2020), CVPR(2018,2019,2020,2021), ECCV(2018,2020), ICCV(2019), AAAI(2019,2020), etc.

Journal Reviewer

  • T-PAMI, IJCV, JMLR, T-IP, T-MM, T-NNLS, T-CSVT, T-SMC-B, PR, PRL, etc.

Selected Honors

  • AAAI Student Scholarship (Feb 2018)
  • NTU Research Scholarship (Jan 2016)

Teaching Experience

  • 2019: CZ3005, Nanyang Technological University, Teaching Assistant
  • 2019: CZ1012, Nanyang Technological University, Teaching Assistant