Steven C. H. Hoi

According to our database, Steven C. H. Hoi authored at least 376 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Continual Learning, Fast and Slow.

Quang Pham, Chenghao Liu, Steven C. H. Hoi

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

CompeteSMoE - Effective Training of Sparse Mixture of Experts via Competition.

Quang Pham, Giang Do, Huy Nguyen, TrungTin Nguyen, Chenghao Liu, Mina Sartipi, Binh T. Nguyen, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi, Nhat Ho

CoRR, 2024

Few-Shot Learning on Graphs: from Meta-learning to Pre-training and Prompting.

Xingtong Yu, Yuan Fang, Zemin Liu, Yuxia Wu, Zhihao Wen, Jianyuan Bo, Xinming Zhang, Steven C. H. Hoi

CoRR, 2024

2023

RegNet: Self-Regulated Network for Image Classification.

Jing Xu, Yu Pan, Xinglin Pan, Steven C. H. Hoi, Zhang Yi, Zenglin Xu

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Improving Tail-Class Representation with Centroid Contrastive Learning.

Anthony Meng Huat Tiong, Junnan Li, Guosheng Lin, Boyang Li, Caiming Xiong, Steven C. H. Hoi

Pattern Recognit. Lett., April, 2023

Learning Structural Representations for Recipe Generation and Food Retrieval.

Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Active Perception for Visual-Language Navigation.

Hanqing Wang, Wenguan Wang, Wei Liang, Steven C. H. Hoi, Jianbing Shen, Luc Van Gool

Int. J. Comput. Vis., March, 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, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang

J. Mach. Learn. Res., 2023

HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts.

Giang Do, Khiem Le, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Bint T. Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi

CoRR, 2023

Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation.

Hailin Chen, Amrita Saha, Steven C. H. Hoi, Shafiq Joty

CoRR, 2023

PyRCA: A Library for Metric-based Root Cause Analysis.

Chenghao Liu, Wenzhuo Yang, Himanshu Mittal, Manpreet Singh, Doyen Sahoo, Steven C. H. Hoi

CoRR, 2023

CodeTF: One-stop Transformer Library for State-of-the-art Code LLM.

Nghi D. Q. Bui, Hung Le, Yue Wang, Junnan Li, Akhilesh Deepak Gotmare, Steven C. H. Hoi

CoRR, 2023

CodeT5+: Open Code Large Language Models for Code Understanding and Generation.

Yue Wang, Hung Le, Akhilesh Deepak Gotmare, Nghi D. Q. Bui, Junnan Li, Steven C. H. Hoi

CoRR, 2023

AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges.

Qian Cheng, Doyen Sahoo, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Gerald Woo, Manpreet Singh, Silvio Savarese, Steven C. H. Hoi

CoRR, 2023

LogAI: A Library for Log Analytics and Intelligence.

Qian Cheng, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi

CoRR, 2023

Responsible AI for Trusted AI-powered Enterprise Platforms.

Steven C. H. Hoi

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair.

Weishi Wang, Yue Wang, Shafiq Joty, Steven C. H. Hoi

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Efficient Text-to-Code Retrieval with Cascaded Fast and Slow Transformer Models.

Akhilesh Deepak Gotmare, Junnan Li, Shafiq Joty, Steven C. H. Hoi

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

C3: Compositional Counterfactual Contrastive Learning for Video-grounded Dialogues.

Hung Le, Nancy F. Chen, Steven C. H. Hoi

Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing.

Dongxu Li, Junnan Li, Steven C. H. Hoi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.

Wenliang Dai, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Junqi Zhao, Weisheng Wang, Boyang Li, Pascale Fung, Steven C. H. Hoi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Deep Time-index Models for Time Series Forecasting.

Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi

Proceedings of the International Conference on Machine Learning, 2023

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

Junnan Li, Dongxu Li, Silvio Savarese, Steven C. H. Hoi

Proceedings of the International Conference on Machine Learning, 2023

Learning Fast and Slow for Online Time Series Forecasting.

Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Masked Unsupervised Self-training for Label-free Image Classification.

Junnan Li, Silvio Savarese, Steven C. H. Hoi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

OTW: Optimal Transport Warping for Time Series.

Fabian Latorre, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi

Proceedings of the IEEE International Conference on Acoustics, 2023

CodeT5+: Open Code Large Language Models for Code Understanding and Generation.

Yue Wang, Hung Le, Akhilesh Gotmare, Nghi D. Q. Bui, Junnan Li, Steven C. H. Hoi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Towards Low-Resource Automatic Program Repair with Meta-Learning and Pretrained Language Models.

Weishi Wang, Yue Wang, Steven C. H. Hoi, Shafiq Joty

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts.

Truong Do, Le Khiem, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Binh Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Personalized Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation.

Hailin Chen, Amrita Saha, Steven Chu-Hong Hoi, Shafiq Joty

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 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 C. H. Hoi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

LAVIS: A One-stop Library for Language-Vision Intelligence.

Dongxu Li, Junnan Li, Hung Le, Guangsen Wang, Silvio Savarese, Steven C. H. Hoi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022

Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes With Semantic Consistency and Attention Mechanism.

Hao Wang, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi

IEEE Trans. Multim., 2022

A Hybrid Deep Learning Based Framework for Component Defect Detection of Moving Trains.

Cen Chen, Kenli Li, Zhongyao Cheng, Francesco Piccialli, Steven C. H. Hoi, Zeng Zeng

IEEE Trans. Intell. Transp. Syst., 2022

Collaborative Refining for Person Re-Identification With Label Noise.

Mang Ye, He Li, Bo Du, Jianbing Shen, Ling Shao, Steven C. H. Hoi

IEEE Trans. Image Process., 2022

Cross-Modal Graph With Meta Concepts for Video Captioning.

Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao

IEEE Trans. Image Process., 2022

Exploring Structural Knowledge for Automated Visual Inspection of Moving Trains.

Cen Chen, Xiaofeng Zou, Zeng Zeng, Zhongyao Cheng, Le Zhang, Steven C. H. Hoi

IEEE Trans. Cybern., 2022

A Data-Driven Method for Online Monitoring Tube Wall Thinning Process in Dynamic Noisy Environment.

Chen Zhang, Jun Long Lim, Ouyang Liu, Aayush Madan, Yongwei Zhu, Shili Xiang, Kai Wu, Rebecca Yen-Ni Wong, Eugene Phua Jiliang, Karan M. Sabnani, Keng Boon Siah, Wenyu Jiang, Yixin Wang, Emily Hao Jianzhong, Steven C. H. Hoi

IEEE Trans Autom. Sci. Eng., 2022

Detection and rectification of arbitrary shaped scene texts by using text keypoints and links.

Chuhui Xue, Shijian Lu, Steven C. H. Hoi

Pattern Recognit., 2022

Decomposing generation networks with structure prediction for recipe generation.

Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao

Pattern Recognit., 2022

A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization.

Pan Zhou, Xiao-Tong Yuan, Zhouchen Lin, Steven C. H. Hoi

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Deep Learning for Person Re-Identification: A Survey and Outlook.

Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, Steven C. H. Hoi

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Distilled Siamese Networks for Visual Tracking.

Jianbing Shen, Yuanpei Liu, Xingping Dong, Xiankai Lu, Fahad Shahbaz Khan, Steven C. H. Hoi

IEEE Trans. Pattern Anal. Mach. Intell., 2022

From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models.

Jiaxian Guo, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Boyang Li, Dacheng Tao, Steven C. H. Hoi

CoRR, 2022

BotSIM: An End-to-End Bot Simulation Toolkit for Commercial Task-Oriented Dialog Systems.

Guangsen Wang, Shafiq R. Joty, Junnan Li, Steven C. H. Hoi

CoRR, 2022

LAVIS: A Library for Language-Vision Intelligence.

Dongxu Li, Junnan Li, Hung Le, Guangsen Wang, Silvio Savarese, Steven C. H. Hoi

CoRR, 2022

3D Cartoon Face Generation with Controllable Expressions from a Single GAN Image.

Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao

CoRR, 2022

DeepTIMe: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting.

Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi

CoRR, 2022

Causality-Based Multivariate Time Series Anomaly Detection.

Wenzhuo Yang, Kun Zhang, Steven C. H. Hoi

CoRR, 2022

Masked Unsupervised Self-training for Zero-shot Image Classification.

Junnan Li, Silvio Savarese, Steven C. H. Hoi

CoRR, 2022

OmniXAI: A Library for Explainable AI.

Wenzhuo Yang, Hung Le, Silvio Savarese, Steven C. H. Hoi

CoRR, 2022

MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation.

Wenzhuo Yang, Jia Li, Caiming Xiong, Steven C. H. Hoi

CoRR, 2022

Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding.

Rishabh Bhardwaj, Amrita Saha, Steven C. H. Hoi

CoRR, 2022

ETSformer: Exponential Smoothing Transformers for Time-series Forecasting.

Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi

CoRR, 2022

CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning.

Hung Le, Yue Wang, Akhilesh Deepak Gotmare, Silvio Savarese, Steven Chu-Hong Hoi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multimodal Dialogue State Tracking.

Hung Le, Nancy F. Chen, Steven C. H. Hoi

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

VGNMN: Video-grounded Neural Module Networks for Video-Grounded Dialogue Systems.

Hung Le, Nancy F. Chen, Steven C. H. Hoi

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Paired Cross-Modal Data Augmentation for Fine-Grained Image-to-Text Retrieval.

Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Mining Root Cause Knowledge from Cloud Service Incident Investigations for AIOps.

Amrita Saha, Steven C. H. Hoi

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2022

BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation.

Junnan Li, Dongxu Li, Caiming Xiong, Steven C. H. Hoi

Proceedings of the International Conference on Machine Learning, 2022

CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting.

Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi

Proceedings of the Tenth International Conference on Learning Representations, 2022

Continual Normalization: Rethinking Batch Normalization for Online Continual Learning.

Quang Pham, Chenghao Liu, Steven C. H. Hoi

Proceedings of the Tenth International Conference on Learning Representations, 2022

BotSIM: An End-to-End Bot Simulation Framework for Commercial Task-Oriented Dialog Systems.

Guangsen Wang, Samson Tan, Shafiq R. Joty, Gang Wu, Jimmy Au, Steven C. H. Hoi

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training.

Anthony Meng Huat Tiong, Junnan Li, Boyang Li, Silvio Savarese, Steven C. H. Hoi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Learning Label Modular Prompts for Text Classification in the Wild.

Hailin Chen, Amrita Saha, Shafiq R. Joty, Steven C. H. Hoi

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5.

Nghi Bui, Yue Wang, Steven C. H. Hoi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding.

Rishabh Bhardwaj, Amrita Saha, Steven C. H. Hoi, Soujanya Poria

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Align and Prompt: Video-and-Language Pre-training with Entity Prompts.

Dongxu Li, Junnan Li, Hongdong Li, Juan Carlos Niebles, Steven C. H. Hoi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning over Text.

Amrita Saha, Shafiq R. Joty, Steven C. H. Hoi

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Attribute-Aware Pedestrian Detection in a Crowd.

Jialiang Zhang, Lixiang Lin, Jianke Zhu, Yang Li, Yun-chen Chen, Yao Hu, Steven C. H. Hoi

IEEE Trans. Multim., 2021

Paying Attention to Video Object Pattern Understanding.

Wenguan Wang, Jianbing Shen, Xiankai Lu, Steven C. H. Hoi, Haibin Ling

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Deep Learning for Image Super-Resolution: A Survey.

Zhihao Wang, Jian Chen, Steven C. H. Hoi

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Online learning: A comprehensive survey.

Steven C. H. Hoi, Doyen Sahoo, Jing Lu, Peilin Zhao

Neurocomputing, 2021

Cascaded Fast and Slow Models for Efficient Semantic Code Search.

Akhilesh Deepak Gotmare, Junnan Li, Shafiq R. Joty, Steven C. H. Hoi

CoRR, 2021

Merlion: A Machine Learning Library 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, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang

CoRR, 2021

C³: Compositional Counterfactual Constrastive Learning for Video-grounded Dialogues.

Hung Le, Nancy F. Chen, Steven C. H. Hoi

CoRR, 2021

VGNMN: Video-grounded Neural Module Network to Video-Grounded Language Tasks.

Hung Le, Nancy F. Chen, Steven C. H. Hoi

CoRR, 2021

Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning.

Amrita Saha, Shafiq R. Joty, Steven C. H. Hoi

CoRR, 2021

Weakly-Supervised Multi-Face 3D Reconstruction.

Jialiang Zhang, Lixiang Lin, Jianke Zhu, Steven C. H. Hoi

CoRR, 2021

Task similarity aware meta learning: theory-inspired improvement on MAML.

Pan Zhou, Yingtian Zou, Xiao-Tong Yuan, Jiashi Feng, Caiming Xiong, Steven C. H. Hoi

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Adapting Interactional Observation Embedding for Counterfactual Learning to Rank.

Mouxiang Chen, Chenghao Liu, Jianling Sun, Steven C. H. Hoi

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Discrete Listwise Collaborative Filtering for Fast Recommendation.

Chenghao Liu, Tao Lu, Zhiyong Cheng, Xin Wang, Jianling Sun, Steven C. H. Hoi

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning.

Pan Zhou, Caiming Xiong, Xiaotong Yuan, Steven Chu-Hong Hoi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DualNet: Continual Learning, Fast and Slow.

Quang Pham, Chenghao Liu, Steven C. H. Hoi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Align before Fuse: Vision and Language Representation Learning with Momentum Distillation.

Junnan Li, Ramprasaath R. Selvaraju, Akhilesh Gotmare, Shafiq R. Joty, Caiming Xiong, Steven Chu-Hong Hoi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Large-Scale Benchmark for Food Image Segmentation.

Xiongwei Wu, Xin Fu, Ying Liu, Ee-Peng Lim, Steven C. H. Hoi, Qianru Sun

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Cycle-Consistent Inverse GAN for Text-to-Image Synthesis.

Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition.

Genta Indra Winata, Guangsen Wang, Caiming Xiong, Steven C. H. Hoi

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Node-wise Localization of Graph Neural Networks.

Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection.

Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi

Proceedings of the 9th International Conference on Learning Representations, 2021

Contextual Transformation Networks for Online Continual Learning.

Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues.

Hung Le, Nancy F. Chen, Steven C. H. Hoi

Proceedings of the 9th International Conference on Learning Representations, 2021

Prototypical Contrastive Learning of Unsupervised Representations.

Junnan Li, Pan Zhou, Caiming Xiong, Steven C. H. Hoi

Proceedings of the 9th International Conference on Learning Representations, 2021

MoPro: Webly Supervised Learning with Momentum Prototypes.

Junnan Li, Caiming Xiong, Steven C. H. Hoi

Proceedings of the 9th International Conference on Learning Representations, 2021

VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results.

Zhihao Liu, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Junwen Pan, Baoqun Yin, Binyu Zhang, Chengxin Liu, Ding Ding, Dingkang Liang, Guanchen Ding, Hao Lu, Hui Lin, Jingyuan Chen, Jiong Li, Liang Liu, Lin Zhou, Min Shi, Qianqian Yang, Qing He, Sifan Peng, Wei Xu, Wenwei Han, Xiang Bai, Xiwu Chen, Yabin Wang, Yinfeng Xia, Yiran Tao, Zhenzhong Chen, Zhiguo Cao

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

VisDrone-MOT2021: The Vision Meets Drone Multiple Object Tracking Challenge Results.

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

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

VisDrone-DET2021: The Vision Meets Drone Object detection Challenge Results.

Yaru Cao, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Chong Cheng, Fanfan Liu, Guojin Cao, Guozhen Li, Hongkai Wang, Jianye He, Junfeng Wan, Qi Wan, Qi Zhao, Shuchang Lyu, Wenzhe Zhao, Xiaoqiang Lu, Xingkui Zhu, Yingjie Liu, Yixuan Lv, Yujing Ma, Yuting Yang, Zhe Wang, Zhenyu Xu, Zhipeng Luo, Zhimin Zhang, Zhiguang Zhang, Zihao Li, Zixiao Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Learning from Noisy Data with Robust Representation Learning.

Junnan Li, Caiming Xiong, Steven C. H. Hoi

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

CoMatch: Semi-supervised Learning with Contrastive Graph Regularization.

Junnan Li, Caiming Xiong, Steven C. H. Hoi

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation.

Yue Wang, Weishi Wang, Shafiq R. Joty, Steven C. H. Hoi

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

On the Diversity and Explainability of Recommender Systems: A Practical Framework for Enterprise App Recommendation.

Wenzhuo Yang, Jia Li, Chenxi Li, Latrice Barnett, Markus Anderle, Simo Arajärvi, Harshavardhan Utharavalli, Caiming Xiong, Steven C. H. Hoi

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph.

Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Reducing Estimation Bias via Triplet-Average Deep Deterministic Policy Gradient.

Dongming Wu, Xingping Dong, Jianbing Shen, Steven C. H. Hoi

IEEE Trans. Neural Networks Learn. Syst., 2020

DeepFacade: A Deep Learning Approach to Facade Parsing With Symmetric Loss.

Hantang Liu, Yinghao Xu, Jialiang Zhang, Jianke Zhu, Yang Li, Steven C. H. Hoi

IEEE Trans. Multim., 2020

A Unified Framework for Sparse Online Learning.

Peilin Zhao, Dayong Wang, Pengcheng Wu, Steven C. H. Hoi

ACM Trans. Knowl. Discov. Data, 2020

Time-Warped Sparse Non-negative Factorization for Functional Data Analysis.

Chen Zhang, Steven C. H. Hoi, Fugee Tsung

ACM Trans. Knowl. Discov. Data, 2020

Robust Graph Learning From Noisy Data.

Zhao Kang, Haiqi Pan, Steven C. H. Hoi, Zenglin Xu

IEEE Trans. Cybern., 2020

DART: Domain-Adversarial Residual-Transfer networks for unsupervised cross-domain image classification.

Xianghong Fang, Haoli Bai, Ziyi Guo, Bin Shen, Steven C. H. Hoi, Zenglin Xu

Neural Networks, 2020

Collaborative online ranking algorithms for multitask learning.

Guangxia Li, Peilin Zhao, Tao Mei, Peng Yang, Yulong Shen, Kuiyu Chang, Steven C. H. Hoi

Knowl. Inf. Syst., 2020

Feature agglomeration networks for single stage face detection.

Jialiang Zhang, Xiongwei Wu, Steven C. H. Hoi, Jianke Zhu

Neurocomputing, 2020

Single-shot bidirectional pyramid networks for high-quality object detection.

Xiongwei Wu, Doyen Sahoo, Daoxin Zhang, Jianke Zhu, Steven C. H. Hoi

Neurocomputing, 2020

Recent advances in deep learning for object detection.

Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi

Neurocomputing, 2020

Hierarchical multimodal attention for end-to-end audio-visual scene-aware dialogue response generation.

Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi

Comput. Speech Lang., 2020

Partially Observable Online Change Detection via Smooth-Sparse Decomposition.

Jie Guo, Hao Yan, Chen Zhang, Steven C. H. Hoi

CoRR, 2020

Bilevel Continual Learning.

Quang Pham, Doyen Sahoo, Chenghao Liu, Steven C. H. Hoi

CoRR, 2020

Decomposed Generation Networks with Structure Prediction for Recipe Generation from Food Images.

Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao

CoRR, 2020

EMT: Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading.

Yifan Gao, Chien-Sheng Wu, Shafiq R. Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C. H. Hoi

CoRR, 2020

Extreme Low-Light Imaging with Multi-granulation Cooperative Networks.

Keqi Wang, Peng Gao, Steven C. H. Hoi, Qian Guo, Yuhua Qian

CoRR, 2020

Prototypical Contrastive Learning of Unsupervised Representations.

Junnan Li, Pan Zhou, Caiming Xiong, Richard Socher, Steven C. H. Hoi

CoRR, 2020

ToD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogues.

Chien-Sheng Wu, Steven C. H. Hoi, Richard Socher, Caiming Xiong

CoRR, 2020

Towards Noise-resistant Object Detection with Noisy Annotations.

Junnan Li, Caiming Xiong, Richard Socher, Steven C. H. Hoi

CoRR, 2020

Theory-Inspired Path-Regularized Differential Network Architecture Search.

Pan Zhou, Caiming Xiong, Richard Socher, Steven Chu-Hong Hoi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning.

Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven Chu-Hong Hoi, Weinan E

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Meta-RCNN: Meta Learning for Few-Shot Object Detection.

Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling.

Jianwen Yin, Chenghao Liu, Weiqing Wang, Jianling Sun, Steven C. H. Hoi

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Tree-Structured Attention with Hierarchical Accumulation.

Xuan-Phi Nguyen, Shafiq R. Joty, Steven C. H. Hoi, Richard Socher

Proceedings of the 8th International Conference on Learning Representations, 2020

DivideMix: Learning with Noisy Labels as Semi-supervised Learning.

Junnan Li, Richard Socher, Steven C. H. Hoi

Proceedings of the 8th International Conference on Learning Representations, 2020

Non-Autoregressive Dialog State Tracking.

Hung Le, Richard Socher, Steven C. H. Hoi

Proceedings of the 8th International Conference on Learning Representations, 2020

Improving Limited Labeled Dialogue State Tracking with Self-Supervision.

Chien-Sheng Wu, Steven C. H. Hoi, Caiming Xiong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue.

Chien-Sheng Wu, Steven C. H. Hoi, Richard Socher, Caiming Xiong

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

VD-BERT: A Unified Vision and Dialog Transformer with BERT.

Yue Wang, Shafiq R. Joty, Michael R. Lyu, Irwin King, Caiming Xiong, Steven C. H. Hoi

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Response Selection for Multi-Party Conversations with Dynamic Topic Tracking.

Weishi Wang, Steven C. H. Hoi, Shafiq R. Joty

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues.

Hung Le, Doyen Sahoo, Chenghao Liu, Nancy F. Chen, Steven C. H. Hoi

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues.

Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading.

Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq R. Joty, Steven C. H. Hoi, Caiming Xiong, Irwin King, Michael R. Lyu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

The Devil Is in Classification: A Simple Framework for Long-Tail Instance Segmentation.

Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng

Proceedings of the Computer Vision - ECCV 2020, 2020

Structure-Aware Generation Network for Recipe Generation from Images.

Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao

Proceedings of the Computer Vision - ECCV 2020, 2020

Adaptive Task Sampling for Meta-learning.

Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Video Object Segmentation From Unlabeled Videos.

Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David J. Crandall, Steven C. H. Hoi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Disparity-Aware Domain Adaptation in Stereo Image Restoration.

Bo Yan, Chenxi Ma, Bahetiyaer Bare, Weimin Tan, Steven C. H. Hoi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks.

Zemin Liu, Wentao Zhang, Yuan Fang, Xinming Zhang, Steven C. H. Hoi

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Photon: A Robust Cross-Domain Text-to-SQL System.

Jichuan Zeng, Xi Victoria Lin, Steven C. H. Hoi, Richard Socher, Caiming Xiong, Michael R. Lyu, Irwin King

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

Video-Grounded Dialogues with Pretrained Generation Language Models.

Hung Le, Steven C. H. Hoi

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading.

Yifan Gao, Chien-Sheng Wu, Shafiq R. Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C. H. Hoi

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Adaptive Cost-Sensitive Online Classification.

Peilin Zhao, Yifan Zhang, Min Wu, Steven C. H. Hoi, Mingkui Tan, Junzhou Huang

IEEE Trans. Knowl. Data Eng., 2019

Large Scale Online Multiple Kernel Regression with Application to Time-Series Prediction.

Doyen Sahoo, Steven C. H. Hoi, Bin Li

ACM Trans. Knowl. Discov. Data, 2019

Semi-supervised deep embedded clustering.

Yazhou Ren, Kangrong Hu, Xinyi Dai, Lili Pan, Steven C. H. Hoi, Zenglin Xu

Neurocomputing, 2019

Detecting cyberattacks in industrial control systems using online learning algorithms.

Guangxia Li, Yulong Shen, Peilin Zhao, Xiao Lu, Jia Liu, Yangyang Liu, Steven C. H. Hoi

Neurocomputing, 2019

Classification Calibration for Long-tail Instance Segmentation.

Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng

CoRR, 2019

CSID: Center, Scale, Identity and Density-aware Pedestrian Detection in a Crowd.

Jialiang Zhang, Lixiang Lin, Yun-chen Chen, Yao Hu, Steven C. H. Hoi, Jianke Zhu

CoRR, 2019

Deep Learning for Image Super-resolution: A Survey.

Zhihao Wang, Jian Chen, Steven C. H. Hoi

CoRR, 2019

Compositional Coding for Collaborative Filtering.

Chenghao Liu, Tao Lu, Xin Wang, Zhiyong Cheng, Jianling Sun, Steven C. H. Hoi

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Robust Factorization Machine: A Doubly Capped Norms Minimization.

Chenghao Liu, Teng Zhang, Jundong Li, Jianwen Yin, Peilin Zhao, Jianling Sun, Steven C. H. Hoi

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Multi-label Thoracic Disease Image Classification with Cross-Attention Networks.

Congbo Ma, Hu Wang, Steven C. H. Hoi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging.

Doyen Sahoo, Hao Wang, Shu Ke, Xiongwei Wu, Hung Le, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Salient Object Detection With Pyramid Attention and Salient Edges.

Wenguan Wang, Shuyang Zhao, Jianbing Shen, Steven C. H. Hoi, Ali Borji

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning Unsupervised Video Object Segmentation Through Visual Attention.

Wenguan Wang, Hongmei Song, Shuyang Zhao, Jianbing Shen, Sanyuan Zhao, Steven C. H. Hoi, Haibin Ling

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images.

Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-Peng Lim, Steven C. H. Hoi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering.

Peng Gao, Zhengkai Jiang, Haoxuan You, Pan Lu, Steven C. H. Hoi, Xiaogang Wang, Hongsheng Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems.

Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial Multi-Armed Bandit Approach.

Chen Zhang, Steven C. H. Hoi

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Discrete Social Recommendation.

Chenghao Liu, Xin Wang, Tao Lu, Wenwu Zhu, Jianling Sun, Steven C. H. Hoi

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Robust Estimation of Similarity Transformation for Visual Object Tracking.

Yang Li, Jianke Zhu, Steven C. H. Hoi, Wenjie Song, Zhefeng Wang, Hantang Liu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Twitter Microblog Sentiment Analysis.

Guangxia Li, Zhen Hai, Peilin Zhao, Kuiyu Chang, Steven C. H. Hoi

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Second-Order Online Active Learning and Its Applications.

Shuji Hao, Jing Lu, Peilin Zhao, Chi Zhang, Steven C. H. Hoi, Chunyan Miao

IEEE Trans. Knowl. Data Eng., 2018

Online Active Learning with Expert Advice.

Shuji Hao, Peiying Hu, Peilin Zhao, Steven C. H. Hoi, Chunyan Miao

ACM Trans. Knowl. Discov. Data, 2018

Sparse Passive-Aggressive Learning for Bounded Online Kernel Methods.

Jing Lu, Doyen Sahoo, Peilin Zhao, Steven C. H. Hoi

ACM Trans. Intell. Syst. Technol., 2018

Combination Forecasting Reversion Strategy for Online Portfolio Selection.

Dingjiang Huang, Shunchang Yu, Bin Li, Steven C. H. Hoi, Shuigeng Zhou

ACM Trans. Intell. Syst. Technol., 2018

Distributed multi-task classification: a decentralized online learning approach.

Chi Zhang, Peilin Zhao, Shuji Hao, Yeng Chai Soh, Bu-Sung Lee, Chunyan Miao, Steven C. H. Hoi

Mach. Learn., 2018

Multi-target deep neural networks: Theoretical analysis and implementation.

Zeng Zeng, Nanying Liang, XuLei Yang, Steven C. H. Hoi

Neurocomputing, 2018

Face detection using deep learning: An improved faster RCNN approach.

Xudong Sun, Pengcheng Wu, Steven C. H. Hoi

Neurocomputing, 2018

Single-Shot Bidirectional Pyramid Networks for High-Quality Object Detection.

Xiongwei Wu, Daoxin Zhang, Jianke Zhu, Steven C. H. Hoi

CoRR, 2018

URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection.

Hung Le, Quang Pham, Doyen Sahoo, Steven C. H. Hoi

CoRR, 2018

Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions.

Xulei Yang, Zeng Zeng, Sin G. Teo, Li Wang, Vijay Chandrasekhar, Steven C. H. Hoi

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Online Deep Learning: Learning Deep Neural Networks on the Fly.

Doyen Sahoo, Quang Pham, Jing Lu, Steven C. H. Hoi

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Question-Guided Hybrid Convolution for Visual Question Answering.

Peng Gao, Hongsheng Li, Shuang Li, Pan Lu, Yikang Li, Steven C. H. Hoi, Xiaogang Wang

Proceedings of the Computer Vision - ECCV 2018, 2018

Unified Locally Linear Classifiers With Diversity-Promoting Anchor Points.

Chenghao Liu, Teng Zhang, Peilin Zhao, Jianling Sun, Steven C. H. Hoi

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Scalable Image Retrieval by Sparse Product Quantization.

Qingqun Ning, Jianke Zhu, Zhiyuan Zhong, Steven C. H. Hoi, Chun Chen

IEEE Trans. Multim., 2017

Large-Scale Online Feature Selection for Ultra-High Dimensional Sparse Data.

Yue Wu, Steven C. H. Hoi, Tao Mei, Nenghai Yu

ACM Trans. Knowl. Discov. Data, 2017

Sparse Online Learning of Image Similarity.

Xingyu Gao, Steven C. H. Hoi, Yongdong Zhang, Jianshe Zhou, Ji Wan, Zhenyu Chen, Jintao Li, Jianke Zhu

ACM Trans. Intell. Syst. Technol., 2017

Collaborative topic regression for online recommender systems: an online and Bayesian approach.

Chenghao Liu, Tao Jin, Steven C. H. Hoi, Peilin Zhao, Jianling Sun

Mach. Learn., 2017

SOL: A library for scalable online learning algorithms.

Yue Wu, Steven C. H. Hoi, Chenghao Liu, Jing Lu, Doyen Sahoo, Nenghai Yu

Neurocomputing, 2017

HDIdx: High-dimensional indexing for efficient approximate nearest neighbor search.

Ji Wan, Sheng Tang, Yongdong Zhang, Jintao Li, Pengcheng Wu, Steven C. H. Hoi

Neurocomputing, 2017

Robust Estimation of Similarity Transformation for Visual Object Tracking with Correlation Filters.

Yang Li, Jianke Zhu, Wenjie Song, Zhefeng Wang, Hantang Liu, Steven C. H. Hoi

CoRR, 2017

Malicious URL Detection using Machine Learning: A Survey.

Doyen Sahoo, Chenghao Liu, Steven C. H. Hoi

CoRR, 2017

Learning Personalized Preference of Strong and Weak Ties for Social Recommendation.

Xin Wang, Steven C. H. Hoi, Martin Ester, Jiajun Bu, Chun Chen

Proceedings of the 26th International Conference on World Wide Web, 2017

DeepFacade: A Deep Learning Approach to Facade Parsing.

Hantang Liu, Jialiang Zhang, Jianke Zhu, Steven C. H. Hoi

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Online Multitask Relative Similarity Learning.

Shuji Hao, Peilin Zhao, Yong Liu, Steven C. H. Hoi, Chunyan Miao

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Projection-free Distributed Online Learning in Networks.

Wenpeng Zhang, Peilin Zhao, Wenwu Zhu, Steven C. H. Hoi, Tong Zhang

Proceedings of the 34th International Conference on Machine Learning, 2017

Large Scale Kernel Methods for Online AUC Maximization.

Yi Ding, Chenghao Liu, Peilin Zhao, Steven C. H. Hoi

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Interactive Social Recommendation.

Xin Wang, Steven C. H. Hoi, Chenghao Liu, Martin Ester

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Online Multi-Modal Distance Metric Learning with Application to Image Retrieval.

Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Chunyan Miao, Zhiyong Liu

IEEE Trans. Knowl. Data Eng., 2016

Robust Median Reversion Strategy for Online Portfolio Selection.

Dingjiang Huang, Junlong Zhou, Bin Li, Steven C. H. Hoi, Shuigeng Zhou

IEEE Trans. Knowl. Data Eng., 2016

Soft Confidence-Weighted Learning.

Jialei Wang, Peilin Zhao, Steven C. H. Hoi

ACM Trans. Intell. Syst. Technol., 2016

Online Passive-Aggressive Active learning.

Jing Lu, Peilin Zhao, Steven C. H. Hoi

Mach. Learn., 2016

Large Scale Online Kernel Learning.

Jing Lu, Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Zhiyong Liu

J. Mach. Learn. Res., 2016

OLPS: A Toolbox for On-Line Portfolio Selection.

Bin Li, Doyen Sahoo, Steven C. H. Hoi

J. Mach. Learn. Res., 2016

Online Bayesian Collaborative Topic Regression.

Chenghao Liu, Tao Jin, Steven C. H. Hoi, Peilin Zhao, Jianling Sun

CoRR, 2016

Adaptive Subgradient Methods for Online AUC Maximization.

Yi Ding, Peilin Zhao, Steven C. H. Hoi, Yew-Soon Ong

CoRR, 2016

Mobile App Tagging.

Ning Chen, Steven C. H. Hoi, Shaohua Li, Xiaokui Xiao

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Efficient Multi-Class Selective Sampling on Graphs.

Peng Yang, Peilin Zhao, Zhen Hai, Wei Liu, Steven C. H. Hoi, Xiaoli Li

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

On Effective Personalized Music Retrieval by Exploring Online User Behaviors.

Zhiyong Cheng, Jialie Shen, Steven C. H. Hoi

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Temporal Kernel Descriptors for Learning with Time-sensitive Patterns.

Doyen Sahoo, Abhishek Sharma, Steven C. H. Hoi, Peilin Zhao

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Online Sparse Passive Aggressive Learning with Kernels.

Jing Lu, Peilin Zhao, Steven C. H. Hoi

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

SOAL: Second-Order Online Active Learning.

Shuji Hao, Peilin Zhao, Jing Lu, Steven C. H. Hoi, Chunyan Miao, Chi Zhang

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Online Adaptive Passive-Aggressive Methods for Non-Negative Matrix Factorization and Its Applications.

Chenghao Liu, Steven C. H. Hoi, Peilin Zhao, Jianling Sun, Ee-Peng Lim

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Cost Sensitive Online Multiple Kernel Classification.

Doyen Sahoo, Steven C. H. Hoi, Peilin Zhao

Proceedings of The 8th Asian Conference on Machine Learning, 2016

Online ARIMA Algorithms for Time Series Prediction.

Chenghao Liu, Steven C. H. Hoi, Peilin Zhao, Jianling Sun

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Fast Object Retrieval Using Direct Spatial Matching.

Zhiyuan Zhong, Jianke Zhu, Steven C. H. Hoi

IEEE Trans. Multim., 2015

A Framework of Sparse Online Learning and Its Applications.

Dayong Wang, Pengcheng Wu, Peilin Zhao, Steven C. H. Hoi

CoRR, 2015

Budget Online Multiple Kernel Learning.

Jing Lu, Steven C. H. Hoi, Doyen Sahoo, Peilin Zhao

CoRR, 2015

LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with Deep Region-based Convolutional Networks.

Steven C. H. Hoi, Xiongwei Wu, Hantang Liu, Yue Wu, Huiqiong Wang, Hui Xue, Qiang Wu

CoRR, 2015

Moving average reversion strategy for on-line portfolio selection.

Bin Li, Steven C. H. Hoi, Doyen Sahoo, Zhiyong Liu

Artif. Intell., 2015

SimApp: A Framework for Detecting Similar Mobile Applications by Online Kernel Learning.

Ning Chen, Steven C. H. Hoi, Shaohua Li, Xiaokui Xiao

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Active Crowdsourcing for Annotation.

Shuji Hao, Steven C. H. Hoi, Chunyan Miao, Peilin Zhao

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Online Learning to Rank for Content-Based Image Retrieval.

Ji Wan, Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Xingyu Gao, Dayong Wang, Yongdong Zhang, Jintao Li

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Semi-Universal Portfolios with Transaction Costs.

Dingjiang Huang, Yan Zhu, Bin Li, Shuigeng Zhou, Steven C. H. Hoi

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Cost-Sensitive Online Classification with Adaptive Regularization and Its Applications.

Peilin Zhao, Furen Zhuang, Min Wu, Xiaoli Li, Steven C. H. Hoi

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Candy crushing your sleep.

Kasthuri Jayarajah, Meera Radhakrishnan, Steven C. H. Hoi, Archan Misra

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

Reliable Patch Trackers: Robust visual tracking by exploiting reliable patches.

Yang Li, Jianke Zhu, Steven C. H. Hoi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Learning Relative Similarity from Data Streams: Active Online Learning Approaches.

Shuji Hao, Peilin Zhao, Steven C. H. Hoi, Chunyan Miao

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

SOLAR: Scalable Online Learning Algorithms for Ranking.

Jialei Wang, Ji Wan, Yongdong Zhang, Steven C. H. Hoi

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

An Adaptive Gradient Method for Online AUC Maximization.

Yi Ding, Peilin Zhao, Steven C. H. Hoi, Yew-Soon Ong

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Twitter Microblog Sentiment Analysis.

Guangxia Li, Kuiyu Chang, Steven C. H. Hoi

Encyclopedia of Social Network Analysis and Mining, 2014

Online Feature Selection and Its Applications.

Jialei Wang, Peilin Zhao, Steven C. H. Hoi, Rong Jin

IEEE Trans. Knowl. Data Eng., 2014

Cost-Sensitive Online Classification.

Jialei Wang, Peilin Zhao, Steven C. H. Hoi

IEEE Trans. Knowl. Data Eng., 2014

Mining Weakly Labeled Web Facial Images for Search-Based Face Annotation.

Dayong Wang, Steven C. H. Hoi, Ying He, Jianke Zhu

IEEE Trans. Knowl. Data Eng., 2014

Collaborative Online Multitask Learning.

Guangxia Li, Steven C. H. Hoi, Kuiyu Chang, Wenting Liu, Ramesh C. Jain

IEEE Trans. Knowl. Data Eng., 2014

Community Discovery from Social Media by Low-Rank Matrix Recovery.

Jinfeng Zhuang, Tao Mei, Steven C. H. Hoi, Xian-Sheng Hua, Yongdong Zhang

ACM Trans. Intell. Syst. Technol., 2014

Coupling Graphs, Efficient Algorithmsand B-Cell Epitope Prediction.

Liang Zhao, Steven C. H. Hoi, Zhenhua Li, Limsoon Wong, Hung T. Nguyen, Jinyan Li

IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Online Multiple Kernel Similarity Learning for Visual Search.

Hao Xia, Steven C. H. Hoi, Rong Jin, Peilin Zhao

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Retrieval-Based Face Annotation by Weak Label Regularized Local Coordinate Coding.

Dayong Wang, Steven C. H. Hoi, Ying He, Jianke Zhu, Tao Mei, Jiebo Luo

IEEE Trans. Pattern Anal. Mach. Intell., 2014

LIBOL: a library for online learning algorithms.

Steven C. H. Hoi, Jialei Wang, Peilin Zhao

J. Mach. Learn. Res., 2014

Identifying essential pairwise interactions in elastic network model using the alpha shape theory.

Fei Xia, Dudu Tong, Lifeng Yang, Dayong Wang, Steven C. H. Hoi, Patrice Koehl, Lanyuan Lu

J. Comput. Chem., 2014

Graph Matching by Simplified Convex-Concave Relaxation Procedure.

Zhiyong Liu, Hong Qiao, Xu Yang, Steven C. H. Hoi

Int. J. Comput. Vis., 2014

Software process evaluation: a machine learning framework with application to defect management process.

Ning Chen, Steven C. H. Hoi, Xiaokui Xiao

Empir. Softw. Eng., 2014

FSpH: Fitted spectral hashing for efficient similarity search.

Yong-Dong Zhang, Yu Wang, Sheng Tang, Steven C. H. Hoi, Jin-Tao Li

Comput. Vis. Image Underst., 2014

Online portfolio selection: A survey.

Bin Li, Steven C. H. Hoi

ACM Comput. Surv., 2014

Massive-scale Online Feature Selection for Sparse Ultra-high Dimensional Data.

Yue Wu, Steven C. H. Hoi, Tao Mei

CoRR, 2014

Integrating water exclusion theory into βcontacts to predict binding free energy changes and binding hot spots.

Qian Liu, Steven C. H. Hoi, Chee Keong Kwoh, Limsoon Wong, Jinyan Li

BMC Bioinform., 2014

Online Transfer Learning.

Peilin Zhao, Steven C. H. Hoi, Jialei Wang, Bin Li

Artif. Intell., 2014

Deep Learning for Content-Based Image Retrieval: A Comprehensive Study.

Ji Wan, Dayong Wang, Steven Chu-Hong Hoi, Pengcheng Wu, Jianke Zhu, Yongdong Zhang, Jintao Li

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Online multiple kernel regression.

Doyen Sahoo, Steven C. H. Hoi, Bin Li

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

AR-miner: mining informative reviews for developers from mobile app marketplace.

Ning Chen, Jialiu Lin, Steven C. H. Hoi, Xiaokui Xiao, Boshen Zhang

Proceedings of the 36th International Conference on Software Engineering, 2014

High-Dimensional Data Stream Classification via Sparse Online Learning.

Dayong Wang, Pengcheng Wu, Peilin Zhao, Yue Wu, Chunyan Miao, Steven C. H. Hoi

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Online Passive Aggressive Active Learning and Its Applications.

Jing Lu, Peilin Zhao, Steven C. H. Hoi

Proceedings of the Sixth Asian Conference on Machine Learning, 2014

Learning Relative Similarity by Stochastic Dual Coordinate Ascent.

Pengcheng Wu, Yi Ding, Peilin Zhao, Chunyan Miao, Steven C. H. Hoi

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

SOML: Sparse Online Metric Learning with Application to Image Retrieval.

Xingyu Gao, Steven C. H. Hoi, Yongdong Zhang, Ji Wan, Jintao Li

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

MKBoost: A Framework of Multiple Kernel Boosting.

Hao Xia, Steven C. H. Hoi

IEEE Trans. Knowl. Data Eng., 2013

Predictive Handling of Asynchronous Concept Drifts in Distributed Environments.

Hock Hee Ang, Vivekanand Gopalkrishnan, Indre Zliobaite, Mykola Pechenizkiy, Steven C. H. Hoi

IEEE Trans. Knowl. Data Eng., 2013

Confidence Weighted Mean Reversion Strategy for Online Portfolio Selection.

Bin Li, Steven C. H. Hoi, Peilin Zhao, Vivekanand Gopalkrishnan

ACM Trans. Knowl. Discov. Data, 2013

Classification in P2P networks with cascade support vector machines.

Hock Hee Ang, Vivekanand Gopalkrishnan, Steven C. H. Hoi, Wee Keong Ng

ACM Trans. Knowl. Discov. Data, 2013

Introduction: special issue of selected papers of ACML 2012.

Zhi-Hua Zhou, Wee Sun Lee, Steven C. H. Hoi, Wray L. Buntine, Hiroshi Motoda

Mach. Learn., 2013

Online Multiple Kernel Classification.

Steven C. H. Hoi, Rong Jin, Peilin Zhao, Tianbao Yang

Mach. Learn., 2013

FANS: face annotation by searching large-scale web facial images.

Steven C. H. Hoi, Dayong Wang, I. Yeu Cheng, Elmer Weijie Lin, Jianke Zhu, Ying He, Chunyan Miao

Proceedings of the 22nd International World Wide Web Conference, 2013

Online multi-modal distance learning for scalable multimedia retrieval.

Hao Xia, Pengcheng Wu, Steven C. H. Hoi

Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Active Learning with Expert Advice.

Peilin Zhao, Steven C. H. Hoi, Jinfeng Zhuang

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Learning to name faces: a multimodal learning scheme for search-based face annotation.

Dayong Wang, Steven C. H. Hoi, Pengcheng Wu, Jianke Zhu, Ying He, Chunyan Miao

Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Cost-Sensitive Double Updating Online Learning and Its Application to Online Anomaly Detection.

Steven C. H. Hoi, Peilin Zhao

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Online multi-task collaborative filtering for on-the-fly recommender systems.

Jialei Wang, Steven C. H. Hoi, Peilin Zhao, Zhiyong Liu

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Online multimodal deep similarity learning with application to image retrieval.

Pengcheng Wu, Steven C. H. Hoi, Hao Xia, Peilin Zhao, Dayong Wang, Chunyan Miao

Proceedings of the ACM Multimedia Conference, 2013

Cost-sensitive online active learning with application to malicious URL detection.

Peilin Zhao, Steven C. H. Hoi

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Robust Median Reversion Strategy for On-Line Portfolio Selection.

Dingjiang Huang, Junlong Zhou, Bin Li, Steven C. H. Hoi, Shuigeng Zhou

Proceedings of the IJCAI 2013, 2013

Large Scale Online Kernel Classification.

Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Jinfeng Zhuang, Zhiyong Liu

Proceedings of the IJCAI 2013, 2013

Second Order Online Collaborative Filtering.

Jing Lu, Steven C. H. Hoi, Jialei Wang

Proceedings of the Asian Conference on Machine Learning, 2013

2012

Learning Bregman Distance Functions for Semi-Supervised Clustering.

Lei Wu, Steven C. H. Hoi, Rong Jin, Jianke Zhu, Nenghai Yu

IEEE Trans. Knowl. Data Eng., 2012

Multiview Semi-Supervised Learning with Consensus.

Guangxia Li, Kuiyu Chang, Steven C. H. Hoi

IEEE Trans. Knowl. Data Eng., 2012

Introduction to the Special Section on Distance Metric Learning in Intelligent Systems.

Steven C. H. Hoi, Rong Jin, Jinhui Tang, Zhi-Hua Zhou

ACM Trans. Intell. Syst. Technol., 2012

Modeling and Compressing 3-D Facial Expressions Using Geometry Videos.

Jiazhi Xia, Dao Thi Phuong Quynh, Ying He, Xiaoming Chen, Steven C. H. Hoi

IEEE Trans. Circuits Syst. Video Technol., 2012

PAMR: Passive aggressive mean reversion strategy for portfolio selection.

Bin Li, Peilin Zhao, Steven C. H. Hoi, Vivekanand Gopalkrishnan

Mach. Learn., 2012

Preface.

Steven C. H. Hoi, Wray L. Buntine

Proceedings of the 4th Asian Conference on Machine Learning, 2012

On-Line Portfolio Selection: A Survey

Bin Li, Steven C. H. Hoi

CoRR, 2012

B-cell epitope prediction through a graph model.

Liang Zhao, Limsoon Wong, Lanyuan Lu, Steven C. H. Hoi, Jinyan Li

BMC Bioinform., 2012

Boosting multi-kernel locality-sensitive hashing for scalable image retrieval.

Hao Xia, Pengcheng Wu, Steven C. H. Hoi, Rong Jin

Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

BDUOL: Double Updating Online Learning on a Fixed Budget.

Peilin Zhao, Steven C. H. Hoi

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Online feature selection for mining big data.

Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Rong Jin

Proceedings of the 1st International Workshop on Big Data, 2012

On-Line Portfolio Selection with Moving Average Reversion.

Bin Li, Steven C. H. Hoi

Proceedings of the 29th International Conference on Machine Learning, 2012

Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning.

Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Rong Jin, Pengcheng Wu

Proceedings of the 29th International Conference on Machine Learning, 2012

Exact Soft Confidence-Weighted Learning.

Steven C. H. Hoi, Jialei Wang, Peilin Zhao

Proceedings of the 29th International Conference on Machine Learning, 2012

A unified learning framework for auto face annotation by mining web facial images.

Dayong Wang, Steven Chu-Hong Hoi, Ying He

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Online Kernel Selection: Algorithms and Evaluations.

Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Yi, Steven C. H. Hoi

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Near-duplicate keyframe retrieval by semi-supervised learning and nonrigid image matching.

Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu, Shuicheng Yan

ACM Trans. Multim. Comput. Commun. Appl., 2011

Distance metric learning from uncertain side information for automated photo tagging.

Lei Wu, Steven C. H. Hoi, Rong Jin, Jianke Zhu, Nenghai Yu

ACM Trans. Intell. Syst. Technol., 2011

CORN: Correlation-driven nonparametric learning approach for portfolio selection.

Bin Li, Steven C. H. Hoi, Vivekanand Gopalkrishnan

ACM Trans. Intell. Syst. Technol., 2011

Active multiple kernel learning for interactive 3D object retrieval systems.

Steven C. H. Hoi, Rong Jin

ACM Trans. Interact. Intell. Syst., 2011

Spectral Geometry Image: Image Based 3D Models for Digital Broadcasting Applications.

Boon-Seng Chew, Lap-Pui Chau, Ying He, Dayong Wang, Steven C. H. Hoi

IEEE Trans. Broadcast., 2011

Two-Layer Multiple Kernel Learning.

Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

A Family of Simple Non-Parametric Kernel Learning Algorithms.

Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi

J. Mach. Learn. Res., 2011

Double Updating Online Learning.

Peilin Zhao, Steven C. H. Hoi, Rong Jin

J. Mach. Learn. Res., 2011

Unsupervised Multiple Kernel Learning.

Jialei Wang, Jinfeng Zhuang, Steven C. H. Hoi

Proceedings of the 3rd Asian Conference on Machine Learning, 2011

Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection.

Bin Li, Steven C. H. Hoi, Peilin Zhao, Vivekanand Gopalkrishnan

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Enhancing Bag-of-Words Models with Semantics-Preserving Metric Learning.

Lei Wu, Steven C. H. Hoi

IEEE Multim., 2011

Structural analysis of the hot spots in the binding between H1N1 HA and the 2D1 antibody: do mutations of H1N1 from 1918 to 2009 affect much on this binding?

Qian Liu, Steven C. H. Hoi, Chinh T. T. Su, Zhenhua Li, Chee Keong Kwoh, Limsoon Wong, Jinyan Li

Bioinform., 2011

A two-view learning approach for image tag ranking.

Jinfeng Zhuang, Steven C. H. Hoi

Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Mining social images with distance metric learning for automated image tagging.

Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Ying He

Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Mining weakly labeled web facial images for search-based face annotation.

Dayong Wang, Steven C. H. Hoi, Ying He

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Randomly Projected KD-Trees with Distance Metric Learning for Image Retrieval.

Pengcheng Wu, Steven C. H. Hoi, Duc Dung Nguyen, Ying He

Proceedings of the Advances in Multimedia Modeling, 2011

An Effective Approach to Pose Invariant 3D Face Recognition.

Dayong Wang, Steven C. H. Hoi, Ying He

Proceedings of the Advances in Multimedia Modeling, 2011

Modeling social strength in social media community via kernel-based learning.

Jinfeng Zhuang, Tao Mei, Steven C. H. Hoi, Xian-Sheng Hua, Shipeng Li

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Retrieval-based face annotation by weak label regularized local coordinate coding.

Dayong Wang, Steven C. H. Hoi, Ying He, Jianke Zhu

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Modeling 3D articulated motions with conformal geometry videos (CGVs).

Dao Thi Phuong Quynh, Ying He, Xiaoming Chen, Jiazhi Xia, Qian Sun, Steven C. H. Hoi

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

SIRE: a social image retrieval engine.

Steven C. H. Hoi, Pengcheng Wu

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

WSM2011: third ACM workshop on social media.

Steven C. H. Hoi, Michal Jacovi, Ioannis Kompatsiaris, Jiebo Luo, Konstantinos Tserpes

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Software process evaluation: A machine learning approach.

Ning Chen, Steven C. H. Hoi, Xiaokui Xiao

Proceedings of the 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011), 2011

Online AUC Maximization.

Peilin Zhao, Steven C. H. Hoi, Rong Jin, Tianbao Yang

Proceedings of the 28th International Conference on Machine Learning, 2011

When recommendation meets mobile: contextual and personalized recommendation on the go.

Jinfeng Zhuang, Tao Mei, Steven C. H. Hoi, Ying-Qing Xu, Shipeng Li

Proceedings of the UbiComp 2011: Ubiquitous Computing, 13th International Conference, 2011

Collaborative online learning of user generated content.

Guangxia Li, Kuiyu Chang, Steven C. H. Hoi, Wenting Liu, Ramesh C. Jain

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Social Image Tag Ranking by Two-View Learning.

Jinfeng Zhuang, Steven C. H. Hoi

Proceedings of the Social Media Modeling and Computing., 2011

2010

Semi-supervised distance metric learning for collaborative image retrieval and clustering.

Steven C. H. Hoi, Wei Liu, Shih-Fu Chang

ACM Trans. Multim. Comput. Commun. Appl., 2010

Semantics-Preserving Bag-of-Words Models and Applications.

Lei Wu, Steven C. H. Hoi, Nenghai Yu

IEEE Trans. Image Process., 2010

P2PDocTagger: Content management through automated P2P collaborative tagging.

Hock Hee Ang, Vivekanand Gopalkrishnan, Wee Keong Ng, Steven C. H. Hoi

Proc. VLDB Endow., 2010

A Boosting Framework for Visuality-Preserving Distance Metric Learning and Its Application to Medical Image Retrieval.

Liu Yang, Rong Jin, Lily B. Mummert, Rahul Sukthankar, Adam Goode, Bin Zheng, Steven C. H. Hoi, Mahadev Satyanarayanan

IEEE Trans. Pattern Anal. Mach. Intell., 2010

Exclusive Lasso for Multi-task Feature Selection.

Yang Zhou, Rong Jin, Steven C. H. Hoi

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Two-View Transductive Support Vector Machines.

Guangxia Li, Steven C. H. Hoi, Kuiyu Chang

Proceedings of the SIAM International Conference on Data Mining, 2010

On Classifying Drifting Concepts in P2P Networks.

Hock Hee Ang, Vivekanand Gopalkrishnan, Wee Keong Ng, Steven C. H. Hoi

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Satrap: Data and Network Heterogeneity Aware P2P Data-Mining.

Hock Hee Ang, Vivekanand Gopalkrishnan, Anwitaman Datta, Wee Keong Ng, Steven C. H. Hoi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Modeling 3D facial expressions using geometry videos.

Jiazhi Xia, Ying He, Dao Thi Phuong Quynh, Xiaoming Chen, Steven C. H. Hoi

Proceedings of the 18th International Conference on Multimedia 2010, 2010

WSM'10: 2nd ACM workshop on social media.

Susanne Boll, Steven C. H. Hoi, Roelof van Zwol, Jiebo Luo

Proceedings of the 18th International Conference on Multimedia 2010, 2010

OTL: A Framework of Online Transfer Learning.

Peilin Zhao, Steven C. H. Hoi

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Micro-blogging Sentiment Detection by Collaborative Online Learning.

Guangxia Li, Steven C. H. Hoi, Kuiyu Chang, Ramesh C. Jain

Proceedings of the ICDM 2010, 2010

Adaptive Ensemble Classification in P2P Networks.

Hock Hee Ang, Vivekanand Gopalkrishnan, Steven C. H. Hoi, Wee Keong Ng

Proceedings of the Database Systems for Advanced Applications, 2010

Non-parametric kernel ranking approach for social image retrieval.

Jinfeng Zhuang, Steven C. H. Hoi

Proceedings of the 9th ACM International Conference on Image and Video Retrieval, 2010

Online Multiple Kernel Learning: Algorithms and Mistake Bounds.

Rong Jin, Steven C. H. Hoi, Tianbao Yang

Proceedings of the Algorithmic Learning Theory, 21st International Conference, 2010

2009

Semisupervised SVM batch mode active learning with applications to image retrieval.

Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R. Lyu

ACM Trans. Inf. Syst., 2009

Batch Mode Active Learning with Applications to Text Categorization and Image Retrieval.

Steven C. H. Hoi, Rong Jin, Michael R. Lyu

IEEE Trans. Knowl. Data Eng., 2009

Communication-Efficient Classification in P2P Networks.

Hock Hee Ang, Vivekanand Gopalkrishnan, Wee Keong Ng, Steven C. H. Hoi

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

DUOL: A Double Updating Approach for Online Learning.

Peilin Zhao, Steven C. H. Hoi, Rong Jin

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering.

Lei Wu, Rong Jin, Steven C. H. Hoi, Jianke Zhu, Nenghai Yu

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Semantics-preserving bag-of-words models for efficient image annotation.

Lei Wu, Steven C. H. Hoi, Nenghai Yu

Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining, 2009

Distance metric learning from uncertain side information with application to automated photo tagging.

Lei Wu, Steven C. H. Hoi, Rong Jin, Jianke Zhu, Nenghai Yu

Proceedings of the 17th International Conference on Multimedia 2009, 2009

Streaming 3D meshes using spectral geometry images.

Ying He, Boon-Seng Chew, Dayong Wang, Steven Chu-Hong Hoi, Lap-Pui Chau

Proceedings of the 17th International Conference on Multimedia 2009, 2009

First ACM SIGMM international workshop onsocial media (WSM'09).

Susanne Boll, Steven C. H. Hoi, Jiebo Luo, Rong Jin, Irwin King, Dong Xu

Proceedings of the 17th International Conference on Multimedia 2009, 2009

SimpleNPKL: simple non-parametric kernel learning.

Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Web Query Recommendation via Sequential Query Prediction.

Qi He, Daxin Jiang, Zhen Liao, Steven C. H. Hoi, Kuiyu Chang, Ee-Peng Lim, Hang Li

Proceedings of the 25th International Conference on Data Engineering, 2009

Unsupervised face alignment by robust nonrigid mapping.

Jianke Zhu, Luc Van Gool, Steven C. H. Hoi

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Nonrigid shape recovery by Gaussian process regression.

Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Robust Regularized Kernel Regression.

Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu

IEEE Trans. Syst. Man Cybern. Part B, 2008

Face Annotation Using Transductive Kernel Fisher Discriminant.

Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu

IEEE Trans. Multim., 2008

A Multimodal and Multilevel Ranking Scheme for Large-Scale Video Retrieval.

Steven C. H. Hoi, Michael R. Lyu

IEEE Trans. Multim., 2008

On profiling blogs with representative entries.

Jinfeng Zhuang, Steven C. H. Hoi, Aixin Sun

Proceedings of the Second Workshop on Analytics for Noisy Unstructured Text Data, 2008

Cascade RSVM in Peer-to-Peer Networks.

Hock Hee Ang, Vivekanand Gopalkrishnan, Steven C. H. Hoi, Wee Keong Ng

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Near-duplicate keyframe retrieval by nonrigid image matching.

Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu, Shuicheng Yan

Proceedings of the 16th International Conference on Multimedia 2008, 2008

Active kernel learning.

Steven C. H. Hoi, Rong Jin

Proceedings of the Machine Learning, 2008

An Effective Approach to 3D Deformable Surface Tracking.

Jianke Zhu, Steven C. H. Hoi, Zenglin Xu, Michael R. Lyu

Proceedings of the Computer Vision, 2008

Output Regularized Metric Learning with Side Information.

Wei Liu, Steven C. H. Hoi, Jianzhuang Liu

Proceedings of the Computer Vision, 2008

Classification in P2P Networks by Bagging Cascade RSVMs.

Hock Hee Ang, Vivekanand Gopalkrishnan, Steven C. H. Hoi, Wee Keong Ng, Anwitaman Datta

Proceedings of the Databases, 2008

Semi-supervised distance metric learning for Collaborative Image Retrieval.

Steven C. H. Hoi, Wei Liu, Shih-Fu Chang

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Semi-supervised SVM batch mode active learning for image retrieval.

Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R. Lyu

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Representative entry selection for profiling blogs.

Jinfeng Zhuang, Steven C. H. Hoi, Aixin Sun, Rong Jin

Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Semi-Supervised Ensemble Ranking.

Steven C. H. Hoi, Rong Jin

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

Similarity Beyond Distance Measurement.

Feng Kang, Rong Jin, Steven C. H. Hoi

Proceedings of the Computer-Assisted Information Retrieval (Recherche d'Information et ses Applications) - RIAO 2007, 8th International Conference, Carnegie Mellon University, Pittsburgh, PA, USA, May 30, 2007

Learning nonparametric kernel matrices from pairwise constraints.

Steven C. H. Hoi, Rong Jin, Michael R. Lyu

Proceedings of the Machine Learning, 2007

An Empirical Study on Large-Scale Content-Based Image Retrieval.

Yuk Man Wong, Steven Chu-Hong Hoi, Michael R. Lyu

Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

A Multimodal and Multilevel Ranking Framework for Content-Based Video Retrieval.

Steven C. H. Hoi, Michael R. Lyu

Proceedings of the IEEE International Conference on Acoustics, 2007

A Multi-Scale Tikhonov Regularization Scheme for Implicit Surface Modelling.

Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Cross-Language and Cross-Media Image Retrieval: An Empirical Study at ImageCLEF2007.

Steven C. H. Hoi

Proceedings of the Advances in Multilingual and Multimodal Information Retrieval, 2007

Overview of the ImageCLEF 2007 Object Retrieval Task.

Thomas Deselaers, Allan Hanbury, Ville Viitaniemi, András A. Benczúr, Mátyás Brendel, Bálint Daróczy, Hugo Jair Escalante Balderas, Theo Gevers, Carlos Arturo Hernández-Gracidas, Steven C. H. Hoi, Jorma Laaksonen, Mingjing Li, Heidy Marisol Marín Castro, Hermann Ney, Xiaoguang Rui, Nicu Sebe, Julian Stöttinger, Lei Wu

Proceedings of the Working Notes for CLEF 2007 Workshop co-located with the 11th European Conference on Digital Libraries (ECDL 2007), 2007

2006

Statistical machine learning for data mining and collaborative multimedia retrieval.

Steven Chu-Hong Hoi

PhD thesis, 2006

A Unified Log-Based Relevance Feedback Scheme for Image Retrieval.

Steven C. H. Hoi, Michael R. Lyu, Rong Jin

IEEE Trans. Knowl. Data Eng., 2006

Collaborative image retrieval via regularized metric learning.

Luo Si, Rong Jin, Steven C. H. Hoi, Michael R. Lyu

Multim. Syst., 2006

Time-dependent semantic similarity measure of queries using historical click-through data.

Qiankun Zhao, Steven C. H. Hoi, Tie-Yan Liu, Sourav S. Bhowmick, Michael R. Lyu, Wei-Ying Ma

Proceedings of the 15th international conference on World Wide Web, 2006

Large-scale text categorization by batch mode active learning.

Steven C. H. Hoi, Rong Jin, Michael R. Lyu

Proceedings of the 15th international conference on World Wide Web, 2006

Chinese University of Hong Kong at TRECVID 2006: Shot Boundary Detection and Video Search.

Steven C. H. Hoi, Lawson L. S. Wong, Albert Lyu

Proceedings of the 2006 TREC Video Retrieval Evaluation, 2006

Learning the unified kernel machines for classification.

Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Batch mode active learning and its application to medical image classification.

Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R. Lyu

Proceedings of the Machine Learning, 2006

Real-Time Non-rigid Shape Recovery Via Active Appearance Models for Augmented Reality.

Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu

Proceedings of the Computer Vision, 2006

Learning Distance Metrics with Contextual Constraints for Image Retrieval.

Steven C. H. Hoi, Wei Liu, Michael R. Lyu, Wei-Ying Ma

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005

Integrating User Feedback Log into Relevance Feedback by Coupled SVM for Content-Based Image Retrieval.

Steven C. H. Hoi, Michael R. Lyu, Rong Jin

Proceedings of the 21st International Conference on Data Engineering Workshops, 2005

A Semi-Supervised Active Learning Framework for Image Retrieval.

Steven C. H. Hoi, Michael R. Lyu

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

CUHK Experiments with ImageCLEF 2005.

Steven C. H. Hoi, Jianke Zhu, Michael R. Lyu

Proceedings of the Working Notes for CLEF 2005 Workshop co-located with the 9th European Conference on Digital Libraries (ECDL 2005), 2005

CUHK at ImageCLEF 2005: Cross-Language and Cross-Media Image Retrieval.

Steven C. H. Hoi, Jianke Zhu, Michael R. Lyu

Proceedings of the Accessing Multilingual Information Repositories, 2005

2004

Web image learning for searching semantic concepts in image databases.

Steven Chu-Hong Hoi, Michael R. Lyu

Proceedings of the 13th international conference on World Wide Web, 2004

A novel log-based relevance feedback technique in content-based image retrieval.

Steven Chu-Hong Hoi, Michael R. Lyu

Proceedings of the 12th ACM International Conference on Multimedia, 2004

Group-based Relevance Feedback with Support Vector Machine Ensembles.

Steven Chu-Hong Hoi, Michael R. Lyu

Proceedings of the 17th International Conference on Pattern Recognition, 2004

Robust face recognition using minimax probability machine.

Steven Chu-Hong Hoi, Michael R. Lyu

Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

2003

A Novel Scheme for Video Similarity Detection.

Steven Chu-Hong Hoi, Wei Wang, Michael R. Lyu

Proceedings of the Image and Video Retrieval, Second International Conference, 2003