Online multiple kernel regression. - Doyen Sahoo; Steven C. H. Hoi; Bin Li 027 (KDD, 2014)

Moving average reversion strategy for on-line portfolio selection. - Bin Li 027; Steven C. H. Hoi; Doyen Sahoo; Zhiyong Liu 001 (Artif. Intell., 2015)

Budget Online Multiple Kernel Learning. - Jing Lu; Steven C. H. Hoi; Doyen Sahoo; Peilin Zhao (CoRR, 2015)

Cost Sensitive Online Multiple Kernel Classification. - Doyen Sahoo; Steven C. H. Hoi; Peilin Zhao (ACML, 2016)

Temporal Kernel Descriptors for Learning with Time-sensitive Patterns. - Doyen Sahoo; Abhishek Sharma; Steven C. H. Hoi; Peilin Zhao (SDM, 2016)

OLPS: A Toolbox for On-Line Portfolio Selection. - Bin Li 027; Doyen Sahoo; Steven C. H. Hoi (J. Mach. Learn. Res., 2016)

Malicious URL Detection using Machine Learning: A Survey. - Doyen Sahoo; Chenghao Liu; Steven C. H. Hoi (CoRR, 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)

Online Deep Learning: Learning Deep Neural Networks on the Fly. - Doyen Sahoo; Quang Pham; Jing Lu; Steven C. H. Hoi (IJCAI, 2018)

URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection. - Hung Le 003; Quang Pham; Doyen Sahoo; Steven C. H. Hoi (CoRR, 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)

Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems. - Hung Le 003; Doyen Sahoo; Nancy F. Chen; Steven C. H. Hoi (ACL (1), 2019)

Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images. - Hao Wang 094; Doyen Sahoo; Chenghao Liu; Ee-Peng Lim; Steven C. H. Hoi (CVPR, 2019)

FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging. - Doyen Sahoo; Hao Wang 094; Shu Ke; Xiongwei Wu; Hung Le 003; Palakorn Achananuparp; Ee-Peng Lim; Steven C. H. Hoi (KDD, 2019)

Large Scale Online Multiple Kernel Regression with Application to Time-Series Prediction. - Doyen Sahoo; Steven C. H. Hoi; Bin Li 027 (ACM Trans. Knowl. Discov. Data, 2019)

Adaptive Task Sampling for Meta-learning. - Chenghao Liu; Zhihao Wang 004; Doyen Sahoo; Yuan Fang 001; Kun Zhang 001; Steven C. H. Hoi (ECCV (18), 2020)

BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues. - Hung Le 003; Doyen Sahoo; Nancy F. Chen; Steven C. H. Hoi (EMNLP (1), 2020)

UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues. - Hung Le 003; Doyen Sahoo; Chenghao Liu; Nancy F. Chen; Steven C. H. Hoi (EMNLP (1), 2020)

Meta-RCNN: Meta Learning for Few-Shot Object Detection. - Xiongwei Wu; Doyen Sahoo; Steven C. H. Hoi (ACM Multimedia, 2020)

Bilevel Continual Learning. - Quang Pham; Doyen Sahoo; Chenghao Liu; Steven C. H. Hoi (CoRR, 2020)

Hierarchical multimodal attention for end-to-end audio-visual scene-aware dialogue response generation. - Hung Le 003; Doyen Sahoo; Nancy F. Chen; Steven C. H. Hoi (Comput. Speech Lang., 2020)

Recent advances in deep learning for object detection. - Xiongwei Wu; Doyen Sahoo; Steven C. H. Hoi (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)

Contextual Transformation Networks for Online Continual Learning. - Quang Pham; Chenghao Liu; Doyen Sahoo; Steven C. H. Hoi (ICLR, 2021)

PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection. - Xiongwei Wu; Doyen Sahoo; Steven C. H. Hoi (ICLR, 2021)

Merlion: A Machine Learning Library for Time Series. - Aadyot Bhatnagar; Paul Kassianik; Chenghao Liu; Tian Lan 006; Wenzhuo Yang; Rowan Cassius; Doyen Sahoo; Devansh Arpit; Sri Subramanian; Gerald Woo; Amrita Saha; Arun Kumar Jagota; et al. (CoRR, 2021)

Online learning: A comprehensive survey. - Steven C. H. Hoi; Doyen Sahoo; Jing Lu; Peilin Zhao (Neurocomputing, 2021)

CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting. - Gerald Woo; Chenghao Liu; Doyen Sahoo; Akshat Kumar; Steven C. H. Hoi (ICLR, 2022)

ETSformer: Exponential Smoothing Transformers for Time-series Forecasting. - Gerald Woo; Chenghao Liu; Doyen Sahoo; Akshat Kumar; Steven C. H. Hoi (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)

Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes With Semantic Consistency and Attention Mechanism. - Hao Wang 094; Doyen Sahoo; Chenghao Liu; Ke Shu; Palakorn Achananuparp; Ee-Peng Lim; Steven C. H. Hoi (IEEE Trans. Multim., 2022)

OTW: Optimal Transport Warping for Time Series. - Fabian Latorre; Chenghao Liu; Doyen Sahoo; Steven C. H. Hoi (ICASSP, 2023)

Learning Fast and Slow for Online Time Series Forecasting. - Quang Pham; Chenghao Liu; Doyen Sahoo; Steven C. H. Hoi (ICLR, 2023)

Learning Deep Time-index Models for Time Series Forecasting. - Gerald Woo; Chenghao Liu; Doyen Sahoo; Akshat Kumar; Steven C. H. Hoi (ICML, 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)

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)

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)

Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain. - Gerald Woo; Chenghao Liu; Akshat Kumar; Doyen Sahoo (CoRR, 2023)

Merlion: End-to-End Machine Learning for Time Series. - Aadyot Bhatnagar; Paul Kassianik; Chenghao Liu; Tian Lan 006; Wenzhuo Yang; Rowan Cassius; Doyen Sahoo; Devansh Arpit; Sri Subramanian; Gerald Woo; Amrita Saha; Arun Kumar Jagota; et al. (J. Mach. Learn. Res., 2023)

CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules. - Hung Le 003; Hailin Chen; Amrita Saha; Akash Gokul; Doyen Sahoo; Shafiq Joty (ICLR, 2024)

Unified Training of Universal Time Series Forecasting Transformers. - Gerald Woo; Chenghao Liu; Akshat Kumar; Caiming Xiong; Silvio Savarese; Doyen Sahoo (ICML, 2024)

INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness. - Hung Le 003; Doyen Sahoo; Yingbo Zhou; Caiming Xiong; Silvio Savarese (NeurIPS, 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)

ThinK: Thinner Key Cache by Query-Driven Pruning. - Yuhui Xu; Zhanming Jie; Hanze Dong; Lei Wang; Xudong Lu; Aojun Zhou; Amrita Saha; Caiming Xiong; Doyen Sahoo (CoRR, 2024)

MathHay: An Automated Benchmark for Long-Context Mathematical Reasoning in LLMs. - Lei Wang 185; Shan Dong; Yuhui Xu; Hanze Dong; Yalu Wang; Amrita Saha; Ee-Peng Lim; Caiming Xiong; Doyen Sahoo (CoRR, 2024)

GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation. - Taha Aksu; Gerald Woo; Juncheng Liu; Xu Liu 014; Chenghao Liu; Silvio Savarese; Caiming Xiong; Doyen Sahoo (CoRR, 2024)

Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts. - Xu Liu 014; Juncheng Liu; Gerald Woo; Taha Aksu; Yuxuan Liang; Roger Zimmermann; Chenghao Liu; Silvio Savarese; Caiming Xiong; Doyen Sahoo (CoRR, 2024)

XForecast: Evaluating Natural Language Explanations for Time Series Forecasting. - Taha Aksu; Chenghao Liu; Amrita Saha; Sarah Tan; Caiming Xiong; Doyen Sahoo (CoRR, 2024)

Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction. - Yiheng Xu; Zekun Wang; Junli Wang; Dunjie Lu; Tianbao Xie; Amrita Saha; Doyen Sahoo; Tao Yu 009; Caiming Xiong (CoRR, 2024)

RLHF Workflow: From Reward Modeling to Online RLHF. - Hanze Dong; Wei Xiong 015; Bo Pang 004; Haoxiang Wang 003; Han Zhao 002; Yingbo Zhou; Nan Jiang 008; Doyen Sahoo; Caiming Xiong; Tong Zhang 001 (Trans. Mach. Learn. Res., 2024)

PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback. - Yun Peng 003; Akhilesh Deepak Gotmare; Michael R. Lyu; Caiming Xiong; Silvio Savarese; Doyen Sahoo (Forge@ICSE, 2025)

ThinK: Thinner Key Cache by Query-Driven Pruning. - Yuhui Xu; Zhanming Jie; Hanze Dong; Lei Wang 185; Xudong Lu; Aojun Zhou; Amrita Saha; Caiming Xiong; Doyen Sahoo (ICLR, 2025)

Automatic Curriculum Expert Iteration for Reliable LLM Reasoning. - Zirui Zhao; Hanze Dong; Amrita Saha; Caiming Xiong; Doyen Sahoo (ICLR, 2025)

CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models. - Jierui Li; Hung Le 003; Yingbo Zhou; Caiming Xiong; Silvio Savarese; Doyen Sahoo (NAACL (Long Papers), 2025)

UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting. - Juncheng Liu; Chenghao Liu; Gerald Woo; Yiwei Wang 001; Bryan Hooi; Caiming Xiong; Doyen Sahoo (Trans. Mach. Learn. Res., 2025)

Reward-Guided Speculative Decoding for Efficient LLM Reasoning. - Baohao Liao; Yuhui Xu; Hanze Dong; Junnan Li 001; Christof Monz; Silvio Savarese; Doyen Sahoo; Caiming Xiong (CoRR, 2025)

Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models. - Xu Liu 014; Taha Aksu; Juncheng Liu; Qingsong Wen; Yuxuan Liang; Caiming Xiong; Silvio Savarese; Doyen Sahoo; Junnan Li 001; Chenghao Liu (CoRR, 2025)

Entropy-Based Block Pruning for Efficient Large Language Models. - Liangwei Yang; Yuhui Xu; Juntao Tan; Doyen Sahoo; Silvio Savarese; Caiming Xiong; Huan Wang 014; Shelby Heinecke (CoRR, 2025)

A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce. - Wei Xiong 015; Jiarui Yao; Yuhui Xu; Bo Pang 004; Lei Wang 185; Doyen Sahoo; Junnan Li 001; Nan Jiang 008; Tong Zhang 001; Caiming Xiong; Hanze Dong (CoRR, 2025)

Scalable Chain of Thoughts via Elastic Reasoning. - Yuhui Xu; Hanze Dong; Lei Wang 185; Doyen Sahoo; Junnan Li 001; Caiming Xiong (CoRR, 2025)

Fractured Chain-of-Thought Reasoning. - Baohao Liao; Hanze Dong; Yuhui Xu; Doyen Sahoo; Christof Monz; Junnan Li 001; Caiming Xiong (CoRR, 2025)

Scaling Computer-Use Grounding via User Interface Decomposition and Synthesis. - Tianbao Xie; Jiaqi Deng; Xiaochuan Li 003; Junlin Yang; Haoyuan Wu; Jixuan Chen; Wenjing Hu; Xinyuan Wang; Yuhui Xu; Zekun Wang; Yiheng Xu; Junli Wang; et al. (CoRR, 2025)

MoonShot: Towards Controllable Video Generation and Editing with Motion-Aware Multimodal Conditions. - David Junhao Zhang; Dongxu Li; Hung Le; Mike Zheng Shou; Caiming Xiong; Doyen Sahoo (Int. J. Comput. Vis., 2025)

MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers. - Ziyang Luo; Zhiqi Shen; Wenzhuo Yang; Zirui Zhao; Prathyusha Jwalapuram; Amrita Saha; Doyen Sahoo; Silvio Savarese; Caiming Xiong; Junnan Li 001 (CoRR, 2025)