Doyen Sahoo - RankMe

90 papers A* 18A 1C 1Misc 1Journal 63Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce. CoRR Wei Xiong, Jiarui Yao, Yuhui Xu, Bo Pang, Lei Wang, Doyen Sahoo, Junnan Li, Nan Jiang, Tong Zhang, Caiming Xiong, Hanze Dong
2025	A*	`conf`	Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction. ICML Yiheng Xu, Zekun Wang, Junli Wang, Dunjie Lu, Tianbao Xie, Amrita Saha, Doyen Sahoo, Tao Yu, Caiming Xiong
2025	A*	`conf`	Automatic Curriculum Expert Iteration for Reliable LLM Reasoning. ICLR Zirui Zhao, Hanze Dong, Amrita Saha, Caiming Xiong, Doyen Sahoo
2025	—	`conf`	CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models. NAACL (Long Papers) Jierui Li, Hung Le, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Doyen Sahoo
2025	J	`jnl`	Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models. CoRR Xu Liu, Taha Aksu, Juncheng Liu, Qingsong Wen, Yuxuan Liang, Caiming Xiong, Silvio Savarese, Doyen Sahoo, Junnan Li, Chenghao Liu
2025	J	`jnl`	Entropy-Based Block Pruning for Efficient Large Language Models. CoRR Liangwei Yang, Yuhui Xu, Juntao Tan, Doyen Sahoo, Silvio Savarese, Caiming Xiong, Huan Wang, Shelby Heinecke
2025	J	`jnl`	Fractured Chain-of-Thought Reasoning. CoRR Baohao Liao, Hanze Dong, Yuhui Xu, Doyen Sahoo, Christof Monz, Junnan Li, Caiming Xiong
2025	J	`jnl`	MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers. CoRR Ziyang Luo, Zhiqi Shen, Wenzhuo Yang, Zirui Zhao, Prathyusha Jwalapuram, Amrita Saha, Doyen Sahoo, Silvio Savarese, Caiming Xiong, Junnan Li
2025	J	`jnl`	Moirai 2.0: When Less Is More for Time Series Forecasting. CoRR Chenghao Liu, Taha Aksu, Juncheng Liu, Xu Liu, Hanshu Yan, Quang Pham, Silvio Savarese, Doyen Sahoo, Caiming Xiong, Junnan Li
2025	A*	`conf`	Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts. ICML Xu Liu, Juncheng Liu, Gerald Woo, Taha Aksu, Yuxuan Liang, Roger Zimmermann, Chenghao Liu, Junnan Li, Silvio Savarese, Caiming Xiong, Doyen Sahoo
2025	J	`jnl`	MoonShot: Towards Controllable Video Generation and Editing with Motion-Aware Multimodal Conditions. Int. J. Comput. Vis. David Junhao Zhang, Dongxu Li, Hung Le, Mike Zheng Shou, Caiming Xiong, Doyen Sahoo
2025	—	`conf`	PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback. Forge@ICSE Yun Peng, Akhilesh Deepak Gotmare, Michael R. Lyu, Caiming Xiong, Silvio Savarese, Doyen Sahoo
2025	A*	`conf`	Reward-Guided Speculative Decoding for Efficient LLM Reasoning. ICML Baohao Liao, Yuhui Xu, Hanze Dong, Junnan Li, Christof Monz, Silvio Savarese, Doyen Sahoo, Caiming Xiong
2025	J	`jnl`	Reward-Guided Speculative Decoding for Efficient LLM Reasoning. CoRR Baohao Liao, Yuhui Xu, Hanze Dong, Junnan Li, Christof Monz, Silvio Savarese, Doyen Sahoo, Caiming Xiong
2025	J	`jnl`	Scalable Chain of Thoughts via Elastic Reasoning. CoRR Yuhui Xu, Hanze Dong, Lei Wang, Doyen Sahoo, Junnan Li, Caiming Xiong
2025	J	`jnl`	Scaling Computer-Use Grounding via User Interface Decomposition and Synthesis. CoRR 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
2025	A*	`conf`	ThinK: Thinner Key Cache by Query-Driven Pruning. ICLR Yuhui Xu, Zhanming Jie, Hanze Dong, Lei Wang, Xudong Lu, Aojun Zhou, Amrita Saha, Caiming Xiong, Doyen Sahoo
2025	J	`jnl`	UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting. Trans. Mach. Learn. Res. Juncheng Liu, Chenghao Liu, Gerald Woo, Yiwei Wang, Bryan Hooi, Caiming Xiong, Doyen Sahoo
2024	J	`jnl`	Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction. CoRR Yiheng Xu, Zekun Wang, Junli Wang, Dunjie Lu, Tianbao Xie, Amrita Saha, Doyen Sahoo, Tao Yu, Caiming Xiong
2024	J	`jnl`	Automatic Curriculum Expert Iteration for Reliable LLM Reasoning. CoRR Zirui Zhao, Hanze Dong, Amrita Saha, Caiming Xiong, Doyen Sahoo
2024	A*	`conf`	CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules. ICLR Hung Le, Hailin Chen, Amrita Saha, Akash Gokul, Doyen Sahoo, Shafiq Joty
2024	J	`jnl`	CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models. CoRR Jierui Li, Hung Le, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Doyen Sahoo
2024	J	`jnl`	GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation. CoRR Taha Aksu, Gerald Woo, Juncheng Liu, Xu Liu, Chenghao Liu, Silvio Savarese, Caiming Xiong, Doyen Sahoo
2024	A*	`conf`	INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness. NeurIPS Hung Le, Doyen Sahoo, Yingbo Zhou, Caiming Xiong, Silvio Savarese
2024	J	`jnl`	INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness. CoRR Hung Le, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Doyen Sahoo
2024	J	`jnl`	MathHay: An Automated Benchmark for Long-Context Mathematical Reasoning in LLMs. CoRR Lei Wang, Shan Dong, Yuhui Xu, Hanze Dong, Yalu Wang, Amrita Saha, Ee-Peng Lim, Caiming Xiong, Doyen Sahoo
2024	J	`jnl`	Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts. CoRR Xu Liu, Juncheng Liu, Gerald Woo, Taha Aksu, Yuxuan Liang, Roger Zimmermann, Chenghao Liu, Silvio Savarese, Caiming Xiong, Doyen Sahoo
2024	J	`jnl`	Moonshot: Towards Controllable Video Generation and Editing with Multimodal Conditions. CoRR David Junhao Zhang, Dongxu Li, Hung Le, Mike Zheng Shou, Caiming Xiong, Doyen Sahoo
2024	J	`jnl`	PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback. CoRR Yun Peng, Akhilesh Deepak Gotmare, Michael R. Lyu, Caiming Xiong, Silvio Savarese, Doyen Sahoo
2024	J	`jnl`	RLHF Workflow: From Reward Modeling to Online RLHF. CoRR Hanze Dong, Wei Xiong, Bo Pang, Haoxiang Wang, Han Zhao, Yingbo Zhou, Nan Jiang, Doyen Sahoo, Caiming Xiong, Tong Zhang
2024	J	`jnl`	RLHF Workflow: From Reward Modeling to Online RLHF. Trans. Mach. Learn. Res. Hanze Dong, Wei Xiong, Bo Pang, Haoxiang Wang, Han Zhao, Yingbo Zhou, Nan Jiang, Doyen Sahoo, Caiming Xiong, Tong Zhang
2024	J	`jnl`	ThinK: Thinner Key Cache by Query-Driven Pruning. CoRR Yuhui Xu, Zhanming Jie, Hanze Dong, Lei Wang, Xudong Lu, Aojun Zhou, Amrita Saha, Caiming Xiong, Doyen Sahoo
2024	J	`jnl`	UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting. CoRR Juncheng Liu, Chenghao Liu, Gerald Woo, Yiwei Wang, Bryan Hooi, Caiming Xiong, Doyen Sahoo
2024	A*	`conf`	Unified Training of Universal Time Series Forecasting Transformers. ICML Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo
2024	J	`jnl`	Unified Training of Universal Time Series Forecasting Transformers. CoRR Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo
2024	J	`jnl`	XForecast: Evaluating Natural Language Explanations for Time Series Forecasting. CoRR Taha Aksu, Chenghao Liu, Amrita Saha, Sarah Tan, Caiming Xiong, Doyen Sahoo
2023	J	`jnl`	AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges. CoRR Qian Cheng, Doyen Sahoo, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Gerald Woo, Manpreet Singh, Silvio Savarese, Steven C. H. Hoi
2023	J	`jnl`	CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules. CoRR Hung Le, Hailin Chen, Amrita Saha, Akash Gokul, Doyen Sahoo, Shafiq Joty
2023	A*	`conf`	Learning Deep Time-index Models for Time Series Forecasting. ICML Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi
2023	A*	`conf`	Learning Fast and Slow for Online Time Series Forecasting. ICLR Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi
2023	J	`jnl`	LogAI: A Library for Log Analytics and Intelligence. CoRR Qian Cheng, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi
2023	J	`jnl`	Merlion: End-to-End Machine Learning for Time Series. J. Mach. Learn. Res. 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
2023	Misc	`conf`	OTW: Optimal Transport Warping for Time Series. ICASSP Fabian Latorre, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi
2023	J	`jnl`	OTW: Optimal Transport Warping for Time Series. CoRR Fabian Latorre, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi
2023	J	`jnl`	Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain. CoRR Gerald Woo, Chenghao Liu, Akshat Kumar, Doyen Sahoo
2023	J	`jnl`	PyRCA: A Library for Metric-based Root Cause Analysis. CoRR Chenghao Liu, Wenzhuo Yang, Himanshu Mittal, Manpreet Singh, Doyen Sahoo, Steven C. H. Hoi
2022	A*	`conf`	CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting. ICLR Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi
2022	J	`jnl`	CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting. CoRR Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi
2022	J	`jnl`	Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes With Semantic Consistency and Attention Mechanism. IEEE Trans. Multim. Hao Wang, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi
2022	J	`jnl`	DeepTIMe: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting. CoRR Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi
2022	J	`jnl`	ETSformer: Exponential Smoothing Transformers for Time-series Forecasting. CoRR Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi
2022	J	`jnl`	Learning Fast and Slow for Online Time Series Forecasting. CoRR Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi
2021	A*	`conf`	Contextual Transformation Networks for Online Continual Learning. ICLR Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi
2021	J	`jnl`	Merlion: A Machine Learning Library for Time Series. CoRR 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
2021	J	`jnl`	Online learning: A comprehensive survey. Neurocomputing Steven C. H. Hoi, Doyen Sahoo, Jing Lu, Peilin Zhao
2021	A*	`conf`	PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection. ICLR Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi
2020	J	`jnl`	Adaptive Task Sampling for Meta-Learning. CoRR Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi
2020	—	`conf`	Adaptive Task Sampling for Meta-learning. ECCV (18) Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi
2020	—	`conf`	BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues. EMNLP (1) Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi
2020	J	`jnl`	BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues. CoRR Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi
2020	J	`jnl`	Bilevel Continual Learning. CoRR Quang Pham, Doyen Sahoo, Chenghao Liu, Steven C. H. Hoi
2020	J	`jnl`	Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism. CoRR Hao Wang, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi
2020	J	`jnl`	Hierarchical multimodal attention for end-to-end audio-visual scene-aware dialogue response generation. Comput. Speech Lang. Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi
2020	A*	`conf`	Meta-RCNN: Meta Learning for Few-Shot Object Detection. ACM Multimedia Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi
2020	J	`jnl`	Recent advances in deep learning for object detection. Neurocomputing Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi
2020	J	`jnl`	Single-shot bidirectional pyramid networks for high-quality object detection. Neurocomputing Xiongwei Wu, Doyen Sahoo, Daoxin Zhang, Jianke Zhu, Steven C. H. Hoi
2020	—	`conf`	UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues. EMNLP (1) Hung Le, Doyen Sahoo, Chenghao Liu, Nancy F. Chen, Steven C. H. Hoi
2020	J	`jnl`	UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues. CoRR Hung Le, Doyen Sahoo, Chenghao Liu, Nancy F. Chen, Steven C. H. Hoi
2019	A*	`conf`	FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging. KDD Doyen Sahoo, Hao Wang, Shu Ke, Xiongwei Wu, Hung Le, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi
2019	J	`jnl`	FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging. CoRR Doyen Sahoo, Hao Wang, Shu Ke, Xiongwei Wu, Hung Le, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi
2019	J	`jnl`	Large Scale Online Multiple Kernel Regression with Application to Time-Series Prediction. ACM Trans. Knowl. Discov. Data Doyen Sahoo, Steven C. H. Hoi, Bin Li
2019	A*	`conf`	Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images. CVPR Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-Peng Lim, Steven C. H. Hoi
2019	J	`jnl`	Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images. CoRR Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-Peng Lim, Steven C. H. Hoi
2019	—	`conf`	Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems. ACL (1) Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi
2019	J	`jnl`	Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems. CoRR Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi
2019	J	`jnl`	Recent Advances in Deep Learning for Object Detection. CoRR Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi
2018	A*	`conf`	Online Deep Learning: Learning Deep Neural Networks on the Fly. IJCAI Doyen Sahoo, Quang Pham, Jing Lu, Steven C. H. Hoi
2018	J	`jnl`	Online Learning: A Comprehensive Survey. CoRR Steven C. H. Hoi, Doyen Sahoo, Jing Lu, Peilin Zhao
2018	J	`jnl`	Sparse Passive-Aggressive Learning for Bounded Online Kernel Methods. ACM Trans. Intell. Syst. Technol. Jing Lu, Doyen Sahoo, Peilin Zhao, Steven C. H. Hoi
2018	J	`jnl`	URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection. CoRR Hung Le, Quang Pham, Doyen Sahoo, Steven C. H. Hoi
2017	J	`jnl`	Malicious URL Detection using Machine Learning: A Survey. CoRR Doyen Sahoo, Chenghao Liu, Steven C. H. Hoi
2017	J	`jnl`	Online Deep Learning: Learning Deep Neural Networks on the Fly. CoRR Doyen Sahoo, Quang Pham, Jing Lu, Steven C. H. Hoi
2017	J	`jnl`	SOL: A library for scalable online learning algorithms. Neurocomputing Yue Wu, Steven C. H. Hoi, Chenghao Liu, Jing Lu, Doyen Sahoo, Nenghai Yu
2016	C	`conf`	Cost Sensitive Online Multiple Kernel Classification. ACML Doyen Sahoo, Steven C. H. Hoi, Peilin Zhao
2016	J	`jnl`	OLPS: A Toolbox for On-Line Portfolio Selection. J. Mach. Learn. Res. Bin Li, Doyen Sahoo, Steven C. H. Hoi
2016	J	`jnl`	SOL: A Library for Scalable Online Learning Algorithms. CoRR Yue Wu, Steven C. H. Hoi, Chenghao Liu, Jing Lu, Doyen Sahoo, Nenghai Yu
2016	A	`conf`	Temporal Kernel Descriptors for Learning with Time-sensitive Patterns. SDM Doyen Sahoo, Abhishek Sharma, Steven C. H. Hoi, Peilin Zhao
2015	J	`jnl`	Budget Online Multiple Kernel Learning. CoRR Jing Lu, Steven C. H. Hoi, Doyen Sahoo, Peilin Zhao
2015	J	`jnl`	Moving average reversion strategy for on-line portfolio selection. Artif. Intell. Bin Li, Steven C. H. Hoi, Doyen Sahoo, Zhiyong Liu
2014	A*	`conf`	Online multiple kernel regression. KDD Doyen Sahoo, Steven C. H. Hoi, Bin Li