Sahoo, Doyen

25 publications

ICML 2025 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, Caiming Xiong

ICLRW 2025 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, Caiming Xiong

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

ICML 2025 Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts Xu Liu, Juncheng Liu, Gerald Woo, Taha Aksu, Yuxuan Liang, Roger Zimmermann, Chenghao Liu, Junnan Li, Silvio Savarese, Caiming Xiong, Doyen Sahoo

ICML 2025 Reward-Guided Speculative Decoding for Efficient LLM Reasoning Baohao Liao, Yuhui Xu, Hanze Dong, Junnan Li, Christof Monz, Silvio Savarese, Doyen Sahoo, Caiming Xiong

NeurIPS 2025 Scaling Computer-Use Grounding via User Interface Decomposition and Synthesis Tianbao Xie, Jiaqi Deng, Xiaochuan Li, Junlin Yang, Haoyuan Wu, Jixuan Chen, Wenjing Hu, Xinyuan Wang, Yuhui Xu, Zekun Wang, Yiheng Xu, Junli Wang, Doyen Sahoo, Tao Yu, Caiming Xiong

ICLR 2025 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

TMLR 2025 UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting Juncheng Liu, Chenghao Liu, Gerald Woo, Yiwei Wang, Bryan Hooi, Caiming Xiong, Doyen Sahoo

ICLR 2024 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

NeurIPSW 2024 GIFT-Eval: A Benchmark for General Time Series Forecasting Model Evaluation Taha Aksu, Gerald Woo, Juncheng Liu, Xu Liu, Chenghao Liu, Silvio Savarese, Caiming Xiong, Doyen Sahoo

NeurIPS 2024 INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness Hung Le, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Doyen Sahoo

NeurIPSW 2024 Mixture of Experts for Time Series Foundation Models Xu Liu, Juncheng Liu, Gerald Woo, Taha Aksu, Chenghao Liu, Silvio Savarese, Caiming Xiong, Doyen Sahoo

TMLR 2024 RLHF Workflow: From Reward Modeling to Online RLHF Hanze Dong, Wei Xiong, Bo Pang, Haoxiang Wang, Han Zhao, Yingbo Zhou, Nan Jiang, Doyen Sahoo, Caiming Xiong, Tong Zhang

NeurIPSW 2024 UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting Juncheng Liu, Chenghao Liu, Gerald Woo, Yiwei Wang, Bryan Hooi, Caiming Xiong, Doyen Sahoo

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

ICML 2023 Learning Deep Time-Index Models for Time Series Forecasting Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven Hoi

ICLR 2023 Learning Fast and Slow for Online Time Series Forecasting Quang Pham, Chenghao Liu, Doyen Sahoo, Steven Hoi

MLOSS 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, Daeki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven Hoi, Huan Wang

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

ICLR 2021 Contextual Transformation Networks for Online Continual Learning Quang Pham, Chenghao Liu, Doyen Sahoo, Steven Hoi

ICLR 2021 PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection Wu Xiongwei, Doyen Sahoo, Steven Hoi

ECCV 2020 Adaptive Task Sampling for Meta-Learning Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang Kun Zhang, Steven C.H. Hoi

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

ACML 2016 Cost Sensitive Online Multiple Kernel Classification Doyen Sahoo, Steven Hoi, Peilin Zhao

JMLR 2016 OLPS: A Toolbox for On-Line Portfolio Selection Bin Li, Doyen Sahoo, Steven C.H. Hoi