Jiatong Li is a graduate student in Ph.D program at the Computer Science department of Rutgers, The State University of New Jersey. She has been working with Professor Vladimir Pavlovic since 2018. She received a BE degree in Electronic Information Science and Technology from Tsinghua University, China in 2016 and a MS degree in Electrical and Computer Engineering from University of Michigan, Ann Arbor in 2018. Her research interests is Machine Learning.
Project
- Predicting relative ingredient amounts from food images (ongoing)

- Topic Classification Using Class Labels (Master’s project at University of Michigan)
Paper published in NAACL SRW 2019. The full paper at https://www.aclweb.org/anthology/N19-3004/ .

Publication
2019
- J. Li, R. Guerrero, and V. Pavlovic, “Deep Cooking: Predicting Relative Food Ingredient Amounts from Images,” in 5th International Workshop on Multimedia Assisted Dietary Management (MADiMa ’19), Nice, France, 2019. doi:10.1145/3347448.3357164
[BibTeX]@InProceedings{li19madima, author = {Jiatong Li and Ricardo Guerrero and Vladimir Pavlovic}, booktitle = {5th International Workshop on Multimedia Assisted Dietary Management ({MADiMa} '19)}, title = {Deep Cooking: Predicting Relative Food Ingredient Amounts from Images}, year = {2019}, address = {Nice, France}, month = oct, date-added = {2019-09-05 20:51:44 +0100}, date-modified = {2019-09-05 20:52:48 +0100}, doi = {10.1145/3347448.3357164}, }
- J. Li, R. Guerrero, and V. Pavlovic, “Deep Cooking: Predicting Food Ingredient Amounts from Images,” in Int’l Joint Conference on Artificial Intelligence IJCNN, Workshop on AI and Food, Macao, China, 2019.
[BibTeX]@InProceedings{li19ijcai, author = {Jiatong Li and Ricardo Guerrero and Vladimir Pavlovic}, booktitle = {Int'l Joint Conference on Artificial Intelligence {IJCNN}, Workshop on AI and Food}, title = {Deep Cooking: Predicting Food Ingredient Amounts from Images}, year = {2019}, address = {Macao, China}, month = aug, date-added = {2019-09-05 20:49:20 +0100}, date-modified = {2019-09-05 20:50:24 +0100}, }