Hoi, Steven

21 publications

NeurIPS 2025 Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Zhiyi Lyu, Jianguo Huang, Yanchen Deng, Steven Hoi, Bo An

ICLRW 2024 Toward Data-Driven Skill Identification for General-Purpose Vision-Language Models Anthony Tiong, Junqi Zhao, Junnan Li, Steven Hoi, Caiming Xiong, Boyang Li

ICML 2023 BLIP-2: Bootstrapping Language-Image Pre-Training with Frozen Image Encoders and Large Language Models Junnan Li, Dongxu Li, Silvio Savarese, Steven Hoi

CVPR 2023 From Images to Textual Prompts: Zero-Shot Visual Question Answering with Frozen Large Language Models Jiaxian Guo, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Boyang Li, Dacheng Tao, Steven Hoi

ICML 2023 Learning Deep Time-Index Models for Time Series Forecasting Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven Hoi

ICLR 2023 Learning Fast and Slow for Online Time Series Forecasting Quang Pham, Chenghao Liu, Doyen Sahoo, Steven Hoi

ICLR 2023 Masked Unsupervised Self-Training for Label-Free Image Classification Junnan Li, Silvio Savarese, Steven Hoi

MLOSS 2023 Merlion: End-to-End Machine Learning for Time Series Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K C Krithika, Sukumar Maddineni, Daeki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven Hoi, Huan Wang

ICML 2022 BLIP: Bootstrapping Language-Image Pre-Training for Unified Vision-Language Understanding and Generation Junnan Li, Dongxu Li, Caiming Xiong, Steven Hoi

ICLR 2022 CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven Hoi

ICLR 2022 Continual Normalization: Rethinking Batch Normalization for Online Continual Learning Quang Pham, Chenghao Liu, Steven Hoi

ICLR 2021 Contextual Transformation Networks for Online Continual Learning Quang Pham, Chenghao Liu, Doyen Sahoo, Steven Hoi

ICLR 2021 Learning Reasoning Paths over Semantic Graphs for Video-Grounded Dialogues Hung Le, Nancy F. Chen, Steven Hoi

ICLR 2021 MoPro: Webly Supervised Learning with Momentum Prototypes Junnan Li, Caiming Xiong, Steven Hoi

ICLR 2021 PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection Wu Xiongwei, Doyen Sahoo, Steven Hoi

ICLR 2021 Prototypical Contrastive Learning of Unsupervised Representations Junnan Li, Pan Zhou, Caiming Xiong, Steven Hoi

UAI 2021 Task Similarity Aware Meta Learning: Theory-Inspired Improvement on MAML Pan Zhou, Yingtian Zou, Xiao-Tong Yuan, Jiashi Feng, Caiming Xiong, Steven Hoi

ECCV 2020 The Devil Is in Classification: A Simple Framework for Long-Tail Instance Segmentation Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Junhao Liew, Sheng Tang, Steven Hoi, Jiashi Feng

ACML 2016 Cost Sensitive Online Multiple Kernel Classification Doyen Sahoo, Steven Hoi, Peilin Zhao

ACML 2014 Online Passive Aggressive Active Learning and Its Applications Jing Lu, Peilin Zhao, Steven Hoi

ACML 2013 Second Order Online Collaborative Filtering Jing Lu, Steven Hoi, Jialei Wang