Steven Chu-Hong Hoi

ORCID

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 8

Top Venues

Chinese University of Hong Kong, Hong Kong (PHD)

Education History

Chinese University of Hong Kong, Hong Kong

PHD

Publications

Hailin Chen, Amrita Saha, Steven Chu-Hong Hoi, Shafiq Joty
Personalized Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation. EMNLP (2023)
Hung Le, Yue Wang, Akhilesh Deepak Gotmare, Silvio Savarese, Steven Chu-Hong Hoi
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning. NeurIPS (2022)
Junnan Li, Ramprasaath R. Selvaraju, Akhilesh Gotmare, Shafiq R. Joty, Caiming Xiong, Steven Chu-Hong Hoi
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation. NeurIPS (2021)
Guanlin Chen, Wenguan Wang, Zhijian He, Lujia Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven Chu-Hong Hoi, Qinghua Hu, Ming Liu, Andrea Sciarrone, Chao Sun, Chiara Garibotto, Duong Nguyen-Ngoc Tran, Fabio Lavagetto, Halar Haleem, Hakki Motorcu, Hasan F. Ates, Huy-Hung Nguyen, Hyung-Joon Jeon, Igor Bisio, Jae Wook Jeon, Jiahao Li, Long Hoang Pham, Moongu Jeon, Qianyu Feng, Shengwen Li, Tai Huu-Phuong Tran, Xiao Pan, Young-Min Song, Yuehan Yao, Yunhao Du, Zhenyu Xu, Zhipeng Luo
VisDrone-MOT2021: The Vision Meets Drone Multiple Object Tracking Challenge Results. ICCVW (2021)
Pan Zhou, Caiming Xiong, Xiaotong Yuan, Steven Chu-Hong Hoi
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning. NeurIPS (2021)
Chien-Sheng Wu, Steven Chu-Hong Hoi, Caiming Xiong
Improving Limited Labeled Dialogue State Tracking with Self-Supervision. CoRR (2020)
Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven Chu-Hong Hoi, Weinan E
Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning. NeurIPS (2020)
Pan Zhou, Caiming Xiong, Richard Socher, Steven Chu-Hong Hoi
Theory-Inspired Path-Regularized Differential Network Architecture Search. NeurIPS (2020)
Ji Wan, Dayong Wang, Steven Chu-Hong Hoi, Pengcheng Wu, Jianke Zhu, Yongdong Zhang, Jintao Li
Deep Learning for Content-Based Image Retrieval: A Comprehensive Study. ACM Multimedia (2014)
Dayong Wang, Steven Chu-Hong Hoi, Ying He
A unified learning framework for auto face annotation by mining web facial images. CIKM (2012)
Ying He, Boon-Seng Chew, Dayong Wang, Steven Chu-Hong Hoi, Lap-Pui Chau
Streaming 3D meshes using spectral geometry images. ACM Multimedia (2009)
Yuk Man Wong, Steven Chu-Hong Hoi, Michael R. Lyu
An Empirical Study on Large-Scale Content-Based Image Retrieval. ICME (2007)
Steven Chu-Hong Hoi, Michael R. Lyu
Robust face recognition using minimax probability machine. ICME (2004)
Steven Chu-Hong Hoi, Michael R. Lyu
Group-based Relevance Feedback with Support Vector Machine Ensembles. ICPR (3) (2004)
Steven Chu-Hong Hoi, Michael R. Lyu
Web image learning for searching semantic concepts in image databases. WWW (Alternate Track Papers & Posters) (2004)
Steven Chu-Hong Hoi, Michael R. Lyu
A novel log-based relevance feedback technique in content-based image retrieval. ACM Multimedia (2004)
Steven Chu-Hong Hoi, Wei Wang, Michael R. Lyu
A Novel Scheme for Video Similarity Detection. CIVR (2003)

Steven Chu-Hong Hoi.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Steven Chu-Hong Hoi