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Doyen Sahoo
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2020 – today
- 2024
- [c19]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 - [c18]Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo:
Unified Training of Universal Time Series Forecasting Transformers. ICML 2024 - [i32]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 abs/2401.01827 (2024) - [i31]Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo:
Unified Training of Universal Time Series Forecasting Transformers. CoRR abs/2402.02592 (2024) - [i30]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 abs/2405.07863 (2024) - [i29]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 abs/2406.04975 (2024) - [i28]Hung Le, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Doyen Sahoo:
INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness. CoRR abs/2407.02518 (2024) - [i27]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 abs/2407.21018 (2024) - 2023
- [j11]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: 226:1-226:6 (2023) - [c17]Fabian Latorre, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
OTW: Optimal Transport Warping for Time Series. ICASSP 2023: 1-5 - [c16]Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
Learning Fast and Slow for Online Time Series Forecasting. ICLR 2023 - [c15]Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi:
Learning Deep Time-index Models for Time Series Forecasting. ICML 2023: 37217-37237 - [i26]Qian Cheng, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
LogAI: A Library for Log Analytics and Intelligence. CoRR abs/2301.13415 (2023) - [i25]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 abs/2304.04661 (2023) - [i24]Fabian Latorre, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
OTW: Optimal Transport Warping for Time Series. CoRR abs/2306.00620 (2023) - [i23]Chenghao Liu, Wenzhuo Yang, Himanshu Mittal, Manpreet Singh, Doyen Sahoo, Steven C. H. Hoi:
PyRCA: A Library for Metric-based Root Cause Analysis. CoRR abs/2306.11417 (2023) - [i22]Gerald Woo, Chenghao Liu, Akshat Kumar, Doyen Sahoo:
Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain. CoRR abs/2310.05063 (2023) - [i21]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 abs/2310.08992 (2023) - 2022
- [j10]Hao Wang
, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp
Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes With Semantic Consistency and Attention Mechanism. IEEE Trans. Multim. 24: 2515-2525 (2022) - [c14]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 - [i20]Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi:
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting. CoRR abs/2202.01381 (2022) - [i19]Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi:
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting. CoRR abs/2202.01575 (2022) - [i18]Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
Learning Fast and Slow for Online Time Series Forecasting. CoRR abs/2202.11672 (2022) - [i17]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 abs/2207.06046 (2022) - 2021
- [j9]Steven C. H. Hoi, Doyen Sahoo, Jing Lu, Peilin Zhao:
Online learning: A comprehensive survey. Neurocomputing 459: 249-289 (2021) - [c13]Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
Contextual Transformation Networks for Online Continual Learning. ICLR 2021 - [c12]Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi:
PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection. ICLR 2021 - [i16]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 abs/2109.09265 (2021) - 2020
- [j8]Hung Le, Doyen Sahoo, Nancy F. Chen
Hierarchical multimodal attention for end-to-end audio-visual scene-aware dialogue response generation. Comput. Speech Lang. 63: 101095 (2020) - [j7]Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi:
Recent advances in deep learning for object detection. Neurocomputing 396: 39-64 (2020) - [j6]Xiongwei Wu, Doyen Sahoo, Daoxin Zhang, Jianke Zhu
Single-shot bidirectional pyramid networks for high-quality object detection. Neurocomputing 401: 1-9 (2020) - [c11]Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi:
Adaptive Task Sampling for Meta-learning. ECCV (18) 2020: 752-769 - [c10]Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi:
BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues. EMNLP (1) 2020: 1846-1859 - [c9]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: 1860-1877 - [c8]Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi:
Meta-RCNN: Meta Learning for Few-Shot Object Detection. ACM Multimedia 2020: 1679-1687 - [i15]Hao Wang, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp
Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism. CoRR abs/2003.03955 (2020) - [i14]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 abs/2004.14307 (2020) - [i13]Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi:
Adaptive Task Sampling for Meta-Learning. CoRR abs/2007.08735 (2020) - [i12]Quang Pham, Doyen Sahoo, Chenghao Liu, Steven C. H. Hoi:
Bilevel Continual Learning. CoRR abs/2007.15553 (2020) - [i11]Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi:
BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues. CoRR abs/2010.10095 (2020)
2010 – 2019
- 2019
- [j5]Doyen Sahoo
Large Scale Online Multiple Kernel Regression with Application to Time-Series Prediction. ACM Trans. Knowl. Discov. Data 13(1): 9:1-9:33 (2019) - [c7]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: 5612-5623 - [c6]Hao Wang
Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images. CVPR 2019: 11572-11581 - [c5]Doyen Sahoo, Hao Wang
FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging. KDD 2019: 2260-2268 - [i10]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 abs/1905.01273 (2019) - [i9]Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi:
Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems. CoRR abs/1907.01166 (2019) - [i8]Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi:
Recent Advances in Deep Learning for Object Detection. CoRR abs/1908.03673 (2019) - [i7]Doyen Sahoo, Hao Wang, 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 abs/1909.11946 (2019) - 2018
- [j4]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): 45:1-45:27 (2018) - [c4]Doyen Sahoo, Quang Pham, Jing Lu, Steven C. H. Hoi:
Online Deep Learning: Learning Deep Neural Networks on the Fly. IJCAI 2018: 2660-2666 - [i6]Steven C. H. Hoi, Doyen Sahoo, Jing Lu, Peilin Zhao:
Online Learning: A Comprehensive Survey. CoRR abs/1802.02871 (2018) - [i5]Hung Le, Quang Pham, Doyen Sahoo, Steven C. H. Hoi:
URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection. CoRR abs/1802.03162 (2018) - 2017
- [j3]Yue Wu, Steven C. H. Hoi
SOL: A library for scalable online learning algorithms. Neurocomputing 260: 9-12 (2017) - [i4]Doyen Sahoo, Chenghao Liu, Steven C. H. Hoi:
Malicious URL Detection using Machine Learning: A Survey. CoRR abs/1701.07179 (2017) - [i3]Doyen Sahoo, Quang Pham, Jing Lu, Steven C. H. Hoi:
Online Deep Learning: Learning Deep Neural Networks on the Fly. CoRR abs/1711.03705 (2017) - 2016
- [j2]Bin Li, Doyen Sahoo, Steven C. H. Hoi:
OLPS: A Toolbox for On-Line Portfolio Selection. J. Mach. Learn. Res. 17: 35:1-35:5 (2016) - [c3]Doyen Sahoo, Steven C. H. Hoi, Peilin Zhao:
Cost Sensitive Online Multiple Kernel Classification. ACML 2016: 65-80 - [c2]Doyen Sahoo, Abhishek Sharma, Steven C. H. Hoi, Peilin Zhao:
Temporal Kernel Descriptors for Learning with Time-sensitive Patterns. SDM 2016: 540-548 - [i2]Yue Wu, Steven C. H. Hoi, Chenghao Liu, Jing Lu, Doyen Sahoo, Nenghai Yu:
SOL: A Library for Scalable Online Learning Algorithms. CoRR abs/1610.09083 (2016) - 2015
- [j1]Bin Li, Steven C. H. Hoi
Moving average reversion strategy for on-line portfolio selection. Artif. Intell. 222: 104-123 (2015) - [i1]Jing Lu, Steven C. H. Hoi, Doyen Sahoo, Peilin Zhao:
Budget Online Multiple Kernel Learning. CoRR abs/1511.04813 (2015) - 2014
- [c1]Doyen Sahoo, Steven C. H. Hoi
Online multiple kernel regression. KDD 2014: 293-302
Coauthor Index
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last updated on 2024-09-26 01:51 CEST by the dblp team
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