Steven Chu-Hong Hoi

19 papers A* 9A 3B 1Journal 1Unranked 4
YearRankTypeTitle / Venue / Authors
2023 A* conf
Personalized Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation.
EMNLP
Hailin Chen, Amrita Saha, Steven Chu-Hong Hoi, Shafiq Joty
2022 A* conf
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning.
NeurIPS
Hung Le, Yue Wang, Akhilesh Deepak Gotmare, Silvio Savarese, Steven Chu-Hong Hoi
2021 A* conf
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning.
NeurIPS
Pan Zhou, Caiming Xiong, Xiaotong Yuan, Steven Chu-Hong Hoi
2021 A* conf
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation.
NeurIPS
Junnan Li, Ramprasaath R. Selvaraju, Akhilesh Gotmare, Shafiq R. Joty, Caiming Xiong, Steven Chu-Hong Hoi
2021 — conf
VisDrone-MOT2021: The Vision Meets Drone Multiple Object Tracking Challenge Results.
ICCVW
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
2020 J jnl
Improving Limited Labeled Dialogue State Tracking with Self-Supervision.
CoRR
Chien-Sheng Wu, Steven Chu-Hong Hoi, Caiming Xiong
2020 A* conf
Theory-Inspired Path-Regularized Differential Network Architecture Search.
NeurIPS
Pan Zhou, Caiming Xiong, Richard Socher, Steven Chu-Hong Hoi
2020 A* conf
Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning.
NeurIPS
Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven Chu-Hong Hoi, Weinan E
2014 A* conf
Deep Learning for Content-Based Image Retrieval: A Comprehensive Study.
ACM Multimedia
Ji Wan, Dayong Wang, Steven Chu-Hong Hoi, Pengcheng Wu, Jianke Zhu, Yongdong Zhang, Jintao Li
2012 A conf
A unified learning framework for auto face annotation by mining web facial images.
CIKM
Dayong Wang, Steven Chu-Hong Hoi, Ying He
2009 A* conf
Streaming 3D meshes using spectral geometry images.
ACM Multimedia
Ying He, Boon-Seng Chew, Dayong Wang, Steven Chu-Hong Hoi, Lap-Pui Chau
2007 A conf
An Empirical Study on Large-Scale Content-Based Image Retrieval.
ICME
Yuk Man Wong, Steven Chu-Hong Hoi, Michael R. Lyu
2006 — —
Statistical machine learning for data mining and collaborative multimedia retrieval.
Steven Chu-Hong Hoi
2004 A* conf
A novel log-based relevance feedback technique in content-based image retrieval.
ACM Multimedia
Steven Chu-Hong Hoi, Michael R. Lyu
2004 B conf
Biased support vector machine for relevance feedback in image retrieval.
IJCNN
Steven Chu-Hong Hoi, Chi-Hang Chan, Kaizhu Huang, Michael R. Lyu, Irwin King
2004 — conf
Group-based Relevance Feedback with Support Vector Machine Ensembles.
ICPR (3)
Steven Chu-Hong Hoi, Michael R. Lyu
2004 A conf
Robust face recognition using minimax probability machine.
ICME
Steven Chu-Hong Hoi, Michael R. Lyu
2004 — conf
Web image learning for searching semantic concepts in image databases.
WWW (Alternate Track Papers & Posters)
Steven Chu-Hong Hoi, Michael R. Lyu
2003 — conf
A Novel Scheme for Video Similarity Detection.
CIVR
Steven Chu-Hong Hoi, Wei Wang, Michael R. Lyu