生如夏花之绚烂

   
          Shuhui (Susan) Jiang 
  蒋舒卉 
Ph.D. Candidate, 
Electrical & Computer Engineering, 
Northeastern University, USA
shjiang[at] ece [dot] neu [dot] edu
shjiang0531 [AT] gmail [DOT] com


Biography [Linkedin][resume]

  • I received my Master and Bachelor degree from School of Electrical and Communication, Xi'an Jiaotong University (Xi'an, China) in 2014. I am in SMILES Lab,  supervised by Prof. Xueming Qian.

News [More]

  • 11/2017, I gave a presentation of fashion style generation in New England Computer Vision Conference.
  • 10/2017, I got one Trans. Big Data accepted. 
  • 10/2017, I got the ACM MM best paper candidate! I gave a presentation in best paper section in ACM MM.
  • 10/2017, I got a patent for "Visual Font Pairing" with Zhaowen Wang, Hailin Jin and Aaron Hertzmann with Adobe.
  • 10/2017, I joined the program committee for “Data Mining and Recommender Systems for Fashion Domain” for the WorldCist 2018 conference.
  • 10/2017: I received the ACM MM student travel award.
  • 09/2017, I got one TPAMI and one TOMM accepted.
  • 09/2017, I became the TPC of IEEE Bigdata 2nd International Workshop on Big Data Transfer Learning (BDTL'17)
  • 09/2017, I became the TPC of IEEE Intl. Conf. on Multimedia Information Processing and Retrieval (MIPR'18).
  • 09/2017, I presented my PhD thesis proposal. 

Research Interests

  • Deep learning algorithms (e.g., Auto-Encoder, CNN, Siamese Network, GAN) and applications.  
  • Fashion classification, retrieval, recommendation and generation.
  • Recommendation system such as cross-domain recommendation, personalized recommendation. 

Work Experience (Summer Intern)

  • Deep learning research intern in Imagination Lab in Adobe Research, San Jose, CA. from May to August in 2016.  I am supervised by Zhaowen Wang, Hailin Jin and Aaron Hertzmann.
  • Deep learning research intern in Data Science team in Expedia, Bellevue, WA.  from May to August in 2017. I am supervised by Jun Wang.

Teaching Experience (Teaching Assistant)
  • EECE5639 Computer Vision, 2016 Spring
  • EECE7323 Numerical Optimization Method, 2016 Fall
  • EECE3468 Noise $\&$ Stochastic Processes, 2017 Spring


Selected Publication [Full List] [Google Scholar] [DBLP]

  • Book Chapter

Shuhui Jiang and Yun Fu. "Style classification by Deep Learning", Deep Learning through Sparse and Low-Rank Modeling, Elsevier, 2017

  • Journals: 

Shuhui Jiang, Yu Kong and Yun Fu, "Deep Geo-constrained Auto-Encoder for Non-landmark GPS Estimation", IEEE Transactions on Big Data (TBD), Accepted, 2017.

Shuhui Jiang, Ming Shao, Chengcheng Jia and Yun Fu, "Learning Consensus Representation for Weak Style Classification", The IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)Accepted. 2017.

Shuhui Jiang, Yue Wu, Yun Fu, "Deep Bi-directional Cross-triplet Embedding for Online Clothing Shopping", ACM Transactions on Multimedia Computing Communications and Applications (TOMM), Accepted, 2017.

Shuhui Jiang, Xueming Qian, Tao Mei and Yun Fu, "Personalized Travel Sequence Recommendation on Multi-Source Big Social Media", IEEE Transactions on Big Data (TBD), 2016.

Shuhui Jiang, Xueming Qian*, Jialie Shen, Yun Fu, and Tao Mei, “Author Topic Model-based Collaborative Filtering for Personalized POI Recommendations”, IEEE Transactions. on Multimedia (TMM), 2015, vol.17, no.6,pp.907-918.

  • Conferences: 

Shuhui Jiang, Zhengming Ding and Yun Fu, Deep Low-rank Sparse Collective Factorization for Cross-Domain Recommendation, ACM Multimedia (ACM MM), in Mountain View, CA USA from 23 to 27 October 2017. (Best paper candidate, 4 out of 864, Full paper, Oral presentation.) 

Shuhui Jiang and Yun Fu, Fashion Style Generator, In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI) in Melbourne, Australia in August 19 to 25 August 2017. (Oral and poster presentation. 660 out of 2540.)

Shuhui Jiang, Yue Wu, and Yun Fu, Deep Bi-directional Cross-triplet Embedding for Cross-Domain Clothing Retrieval, 
In Proceedings of the 24th ACM on Multimedia Conference (ACM MM) in Amsterdam, Netherlands, from 15 to 19 October 2016. pp. 52-56. (Short paper, poster presentation. 141 out of 675.)

Shuhui Jiang, Ming Shao, Chengcheng Jia, Yun Fu, "Consensus Style Centralizing Auto-encoder for Weak Style Classification". In Proceedings of the thirtieth AAAI Conference on Artificial Intelligence (AAAI) in Phoenix, Arizona, USA, February 14 to 17, 2017. pp. 1223-1229. (Oral presentation. 549 out of 2132.) 

  • Patents: 

Zhaowen Wang, Hailin Jin,  Aaron Hertzman, Shuhui Jiang, "Automatically Pairing Fonts Using Asymmetric Metric Learning". P6499-US (20030.136).

Shuhui Jiang, Xueming Qian, Ke Lan, Jing Li and Fan Li, “Social Media User Multimedia Data Management”. NO. ZL 2001 1 0364974.4