Chun-Ta Lu
Chun-Ta Lu is a Software Engineer at Google Research. Prior to joining Google, he received his PhD from University of Illinois at Chicago. His main research interests span various fields of Computer Vision, Data Mining, Machine Learning.
Authored Publications
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Visual Program Tuning: Training Large Multimodal Models to Reason like Programs
Yushi Hu
Krishna Viswanathan
Kenji Hata
Enming Luo
Ranjay Krishna
Ariel Fuxman
Conference on Computer Vision and Pattern Recognition (2024)
Scaling Up LLM Reviews for Google Ads Content Moderation
Ariel Fuxman
Chih-Chun Chia
Dongjin Kwon
Enming Luo
Mehmet Tek
Ranjay Krishna
Tiantian Fang
Tushar Dogra
Yu-Han Lyu
(2024)
Benchmarking Robustness to Adversarial Image Obfuscations
Florian Stimberg
Hussein Hazimeh
Yintao Liu
Merve Kaya
Ariel Fuxman
Mehmet Tek
Advances in Neural Information Processing Systems (2023)
Neural Structured Learning in TensorFlow: Hands-On Tutorial at KDD
Chun-Sung Ferng
George Yu
(2020), pp. 3501-3502
Graph-RISE: Graph-Regularized Image Semantic Embedding
Aleksei Timofeev
Futang Peng
Krishnamurthy Viswanathan
Lucy Gao
Sujith Ravi
Yi-ting Chen
Zhen Li
The 12th International Conference on Web Search and Data Mining (2020) (to appear)
Inferring Context from Pixels for Multimodal Image Classification
Manan Shah
Krishnamurthy Viswanathan
Ariel Fuxman
Zhen Li
Aleksei Timofeev
Chao Jia
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, ACM (2019) (to appear)
