Ship Fuzzy Recognition Based on Superstructure with Maximum Membership Rule. - Yong Wang; Pengkai Zhu (CSPS, 2017)

Zero-Shot Detection. - Pengkai Zhu; Hanxiao Wang 001; Tolga Bolukbasi; Venkatesh Saligrama (CoRR, 2018)

Cost aware Inference for IoT Devices. - Pengkai Zhu; Durmus Alp Emre Acar; Nan Feng; Prateek Jain 002; Venkatesh Saligrama (AISTATS, 2019)

Generalized Zero-Shot Recognition Based on Visually Semantic Embedding. - Pengkai Zhu; Hanxiao Wang 001; Venkatesh Saligrama (CVPR, 2019)

Learning Classifiers for Target Domain with Limited or No Labels. - Pengkai Zhu; Hanxiao Wang 001; Venkatesh Saligrama (ICML, 2019)

Learning for New Visual Environments with Limited Labels. - Pengkai Zhu; Hanxiao Wang 001; Venkatesh Saligrama (CoRR, 2019)

Dont Even Look Once: Synthesizing Features for Zero-Shot Detection. - Pengkai Zhu; Hanxiao Wang 001; Venkatesh Saligrama (CoRR, 2019)

Don't Even Look Once: Synthesizing Features for Zero-Shot Detection. - Pengkai Zhu; Hanxiao Wang 001; Venkatesh Saligrama (CVPR, 2020)

Low Dimensional Visual Attributes: An Interpretable Image Encoding. - Pengkai Zhu; Ruizhao Zhu; Samarth Mishra; Venkatesh Saligrama (ICPR Workshops (3), 2020)

Zero Shot Detection. - Pengkai Zhu; Hanxiao Wang 001; Venkatesh Saligrama (IEEE Trans. Circuits Syst. Video Technol., 2020)

Machine learning under limited resources - Pengkai Zhu (2021)

Contrastive Neighborhood Alignment. - Pengkai Zhu; Zhaowei Cai; Yuanjun Xiong; Zhuowen Tu; Luis Goncalves; Vijay Mahadevan; Stefano Soatto (CoRR, 2022)

Learning Compositional Representations for Effective Low-Shot Generalization. - Samarth Mishra; Pengkai Zhu; Venkatesh Saligrama (CoRR, 2022)

Fine-grained Few-shot Recognition by Deep Object Parsing. - Ruizhao Zhu; Pengkai Zhu; Samarth Mishra; Venkatesh Saligrama (BMVC, 2023)

Enhancing Vision-Language Pre-Training with Rich Supervisions. - Yuan Gao; Kunyu Shi; Pengkai Zhu; Edouard Belval; Oren Nuriel; Srikar Appalaraju; Shabnam Ghadar; Zhuowen Tu; Vijay Mahadevan; Stefano Soatto (CVPR, 2024)

DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models. - Peng Tang; Pengkai Zhu; Tian Li; Srikar Appalaraju; Vijay Mahadevan; R. Manmatha (NAACL-HLT (Findings), 2024)

Interpretable Compositional Representations for Robust Few-Shot Generalization. - Samarth Mishra; Pengkai Zhu; Venkatesh Saligrama (IEEE Trans. Pattern Anal. Mach. Intell., 2024)