Jiuniu Wang | Alibaba

Jiuniu Wang
(王九牛)

Researcher

Alibaba DAMO Academy

Currently, I am a Computer Vision researcher at Alibaba DAMO Academy. My research interests include computer vision, natural language processing, and deep neural networks. I am hiring academic interns recently (please see this webpage for detail).

I received the B.Eng degrees in Electrical Engineering from Beijing Institute of Technology. I was a joint Ph.D student at the University of Chinese Academy of Sciences (advised by Prof. Yirong Wu) and City University of Hong Kong (advised by Prof. Antoni B. Chan).

News

03/2023: We release our text-to-video-synthesis work ModelScopeT2V with code and online demo.
07/2022: I get to Alibaba DAMO Academy, doing research on computer vision, based in Beijing.
03/2022: Our paper about Zero-Shot Learning is accepted by IJCV (International Journal of Computer Vision).
03/2022: Our paper about distinctive image captioning is accepted by TPAMI (IEEE Transactions on Pattern Analysis and Machine Intelligence).
03/2022: Our paper about Zero-Shot Learning is accepted by CVPR 2022.
07/2021: One paper accepted by ACM MM 2021 as Oral!
09/2020: One paper accepted by NeurIPS 2020!
07/2020: One paper accepted by ECCV 2020 as Oral!
09/2019: I get to City University of Hong Kong as a joint PhD student, working with Prof. Antoni B. Chan.
...

Selected Publications

On Distinctive Image Captioning via Comparing and Reweighting

Jiuniu Wang*, Wenjia Xu*, Qingzhong Wang, Antoni B. Chan, (* = equal contribution). IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022, [PDF].

Attribute Prototype Network for Any-Shot Learning

Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata. International Journal of Computer Vision (IJCV), 2022, [Project Page].

Visually-Grounded Semantic Embeddings for Zero-Shot Learning

Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022, [PDF, Code].

Group-based distinctive image captioning with memory attention

Jiuniu Wang, Wenjia Xu, Qingzhong Wang, Antoni B. Chan. ACM International Conference on Multimedia (ACM MM), 2021, [PDF].

Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets

Jiuniu Wang, Wenjia Xu, Qingzhong Wang, Antoni B. Chan. ECCV, 2020, Oral, [PDF, Project Page].

Attribute Prototype Network for Zero-Shot Learning

Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata. NeurIPS, 2020, [PDF, Project Page].

Where is the Model Looking At --Concentrate and Explain the Network Attention

Wenjia Xu, Jiuniu Wang, Yang Wang, Guangluan Xu, Daoyu Lin, Wei Dai, Yirong Wu. IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2020, [Link, PDF].

ASTRAL: Adversarial Trained LSTM-CNN for Named Entity Recognition

Jiuniu Wang, Wenjia Xu*, Xingyu Fu, Guangluan Xu, Yirong Wu, (* = corresponding author). Knowledge-Based Systems (KBS), 2020, [Link, PDF].

SRQA: Synthetic Reader for Factoid Question Answering

Jiuniu Wang, Wenjia Xu*, Xingyu Fu, Yang Wei, Li Jin, Ziyan Chen, Guangluan Xu, Yirong Wu, (* = corresponding author). Knowledge-Based Systems (KBS), 2020, [Link, PDF].

A3net: Adversarial-and-attention network for machine reading comprehension

Jiuniu Wang, Xingyu Fu, Guangluan Xu, Yirong Wu, Ziyan Chen, Yang Wei, Li Jin. NLPCC, 2018, Oral, [Link, PDF].

For a full list, have a look at my Google Scholar page.

Services

Reviewer for TIP (since 2023).
Reviewer for NeurIPS (since 2021), CVPR (since 2022), AAAI (since 2023), ICLR (since 2023), etc.

Curriculum vitae

English Version (Previous)

Chinese Version