Doyen Sahoo

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 58

Top Topics

Top Venues

Publications

Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo
Unified Training of Universal Time Series Forecasting Transformers. CoRR (2024)
Juncheng Liu, Chenghao Liu, Gerald Woo, Yiwei Wang, Bryan Hooi, Caiming Xiong, Doyen Sahoo
UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting. CoRR (2024)
Yuhui Xu, Zhanming Jie, Hanze Dong, Lei Wang, Xudong Lu, Aojun Zhou, Amrita Saha, Caiming Xiong, Doyen Sahoo
ThinK: Thinner Key Cache by Query-Driven Pruning. CoRR (2024)
Hung Le, Hailin Chen, Amrita Saha, Akash Gokul, Doyen Sahoo, Shafiq Joty
CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules. ICLR (2024)
Hung Le, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Doyen Sahoo
INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness. CoRR (2024)
Hanze Dong, Wei Xiong, Bo Pang, Haoxiang Wang, Han Zhao, Yingbo Zhou, Nan Jiang, Doyen Sahoo, Caiming Xiong, Tong Zhang
RLHF Workflow: From Reward Modeling to Online RLHF. CoRR (2024)
David Junhao Zhang, Dongxu Li, Hung Le, Mike Zheng Shou, Caiming Xiong, Doyen Sahoo
Moonshot: Towards Controllable Video Generation and Editing with Multimodal Conditions. CoRR (2024)
Chenghao Liu, Wenzhuo Yang, Himanshu Mittal, Manpreet Singh, Doyen Sahoo, Steven C. H. Hoi
PyRCA: A Library for Metric-based Root Cause Analysis. CoRR (2023)
Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi
Learning Fast and Slow for Online Time Series Forecasting. ICLR (2023)
Qian Cheng, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi
LogAI: A Library for Log Analytics and Intelligence. CoRR (2023)
Fabian Latorre, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi
OTW: Optimal Transport Warping for Time Series. CoRR (2023)
Gerald Woo, Chenghao Liu, Akshat Kumar, Doyen Sahoo
Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain. CoRR (2023)
Fabian Latorre, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi
OTW: Optimal Transport Warping for Time Series. ICASSP (2023)
Qian Cheng, Doyen Sahoo, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Gerald Woo, Manpreet Singh, Silvio Savarese, Steven C. H. Hoi
AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges. CoRR (2023)
Hung Le, Hailin Chen, Amrita Saha, Akash Gokul, Doyen Sahoo, Shafiq Joty
CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules. CoRR (2023)
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
Merlion: End-to-End Machine Learning for Time Series. J. Mach. Learn. Res. 24 (2023)
Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi
Learning Deep Time-index Models for Time Series Forecasting. ICML (2023)
Hao Wang, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi
Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes With Semantic Consistency and Attention Mechanism. IEEE Trans. Multim. 24 (2022)
Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting. ICLR (2022)
Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting. CoRR (2022)
Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi
DeepTIMe: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting. CoRR (2022)
Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi
Learning Fast and Slow for Online Time Series Forecasting. CoRR (2022)
Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven Hoi
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting. CoRR (2022)
Steven C. H. Hoi, Doyen Sahoo, Jing Lu, Peilin Zhao
Online learning: A comprehensive survey. Neurocomputing 459 (2021)
Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi
PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection. ICLR (2021)
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
Merlion: A Machine Learning Library for Time Series. CoRR (2021)
Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi
Contextual Transformation Networks for Online Continual Learning. ICLR (2021)
Hung Le, Doyen Sahoo, Chenghao Liu, Nancy F. Chen, Steven C. H. Hoi
UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues. CoRR (2020)
Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi
Adaptive Task Sampling for Meta-learning. ECCV (18) (2020)
Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi
Meta-RCNN: Meta Learning for Few-Shot Object Detection. ACM Multimedia (2020)
Hao Wang, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi
Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism. CoRR (2020)
Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi
BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues. EMNLP (1) (2020)
Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi
Adaptive Task Sampling for Meta-Learning. CoRR (2020)
Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi
Recent advances in deep learning for object detection. Neurocomputing 396 (2020)
Quang Pham, Doyen Sahoo, Chenghao Liu, Steven C. H. Hoi
Bilevel Continual Learning. CoRR (2020)
Hung Le, Doyen Sahoo, Chenghao Liu, Nancy F. Chen, Steven C. H. Hoi
UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues. EMNLP (1) (2020)
Xiongwei Wu, Doyen Sahoo, Daoxin Zhang, Jianke Zhu, Steven C. H. Hoi
Single-shot bidirectional pyramid networks for high-quality object detection. Neurocomputing 401 (2020)
Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi
BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues. CoRR (2020)
Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi
Hierarchical multimodal attention for end-to-end audio-visual scene-aware dialogue response generation. Comput. Speech Lang. 63 (2020)
Doyen Sahoo, Wang Hao, Shu Ke, Xiongwei Wu, Hung Le, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi
FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging. CoRR (2019)
Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-Peng Lim, Steven C. H. Hoi
Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images. CVPR (2019)
Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-Peng Lim, Steven C. H. Hoi
Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images. CoRR (2019)
Doyen Sahoo, Steven C. H. Hoi, Bin Li
Large Scale Online Multiple Kernel Regression with Application to Time-Series Prediction. ACM Trans. Knowl. Discov. Data 13 (1) (2019)
Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi
Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems. ACL (1) (2019)
Doyen Sahoo, Wang Hao, Shu Ke, Xiongwei Wu, Hung Le, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi
FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging. KDD (2019)
Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi
Recent Advances in Deep Learning for Object Detection. CoRR (2019)
Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi
Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems. CoRR (2019)
Jing Lu, Doyen Sahoo, Peilin Zhao, Steven C. H. Hoi
Sparse Passive-Aggressive Learning for Bounded Online Kernel Methods. ACM Trans. Intell. Syst. Technol. 9 (4) (2018)
Hung Le, Quang Pham, Doyen Sahoo, Steven C. H. Hoi
URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection. CoRR (2018)
Steven C. H. Hoi, Doyen Sahoo, Jing Lu, Peilin Zhao
Online Learning: A Comprehensive Survey. CoRR (2018)
Doyen Sahoo, Quang Pham, Jing Lu, Steven C. H. Hoi
Online Deep Learning: Learning Deep Neural Networks on the Fly. IJCAI (2018)
Doyen Sahoo, Chenghao Liu, Steven C. H. Hoi
Malicious URL Detection using Machine Learning: A Survey. CoRR (2017)
Yue Wu, Steven C. H. Hoi, Chenghao Liu, Jing Lu, Doyen Sahoo, Nenghai Yu
SOL: A library for scalable online learning algorithms. Neurocomputing 260 (2017)
Doyen Sahoo, Quang Pham, Jing Lu, Steven C. H. Hoi
Online Deep Learning: Learning Deep Neural Networks on the Fly. CoRR (2017)
Doyen Sahoo, Abhishek Sharma, Steven C. H. Hoi, Peilin Zhao
Temporal Kernel Descriptors for Learning with Time-sensitive Patterns. SDM (2016)
Doyen Sahoo, Steven C. H. Hoi, Peilin Zhao
Cost Sensitive Online Multiple Kernel Classification. ACML (2016)
Yue Wu, Steven C. H. Hoi, Chenghao Liu, Jing Lu, Doyen Sahoo, Nenghai Yu
SOL: A Library for Scalable Online Learning Algorithms. CoRR (2016)
Bin Li, Doyen Sahoo, Steven C. H. Hoi
OLPS: A Toolbox for On-Line Portfolio Selection. J. Mach. Learn. Res. 17 (2016)
Bin Li, Steven C. H. Hoi, Doyen Sahoo, Zhiyong Liu
Moving average reversion strategy for on-line portfolio selection. Artif. Intell. 222 (2015)
Jing Lu, Steven C. H. Hoi, Doyen Sahoo, Peilin Zhao
Budget Online Multiple Kernel Learning. CoRR (2015)
Doyen Sahoo, Steven C. H. Hoi, Bin Li
Online multiple kernel regression. KDD (2014)