Doyen Sahoo

According to our database, Doyen Sahoo authored at least 42 papers between 2014 and 2024.

Collaborative distances:

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

2024

Unified Training of Universal Time Series Forecasting Transformers.

Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo

CoRR, 2024

Moonshot: Towards Controllable Video Generation and Editing with Multimodal Conditions.

David Junhao Zhang, Dongxu Li, Hung Le, Mike Zheng Shou, Caiming Xiong, Doyen Sahoo

CoRR, 2024

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

CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules.

Hung Le, Hailin Chen, Amrita Saha, Akash Gokul, Doyen Sahoo, Shafiq Joty

CoRR, 2023

Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain.

Gerald Woo, Chenghao Liu, Akshat Kumar, Doyen Sahoo

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

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

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

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

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

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

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

ETSformer: Exponential Smoothing Transformers for Time-series Forecasting.

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

CoRR, 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

2021

Online learning: A comprehensive survey.

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

Neurocomputing, 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

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

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

Bilevel Continual Learning.

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

CoRR, 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

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

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

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

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

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

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

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

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

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

CoRR, 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

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

Malicious URL Detection using Machine Learning: A Survey.

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

CoRR, 2017

2016

OLPS: A Toolbox for On-Line Portfolio Selection.

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

J. Mach. Learn. Res., 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

Cost Sensitive Online Multiple Kernel Classification.

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

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

2015

Budget Online Multiple Kernel Learning.

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

CoRR, 2015

Moving average reversion strategy for on-line portfolio selection.

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

Artif. Intell., 2015

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