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Maohao Shen

Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model
2023 · Maohao Shen, Yuheng Bu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 30
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On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation
2022 · Shen, Maohao, Bu, Yuheng, et al. · arXiv (Cornell University) · 12
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Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?
2024 · Maohao Shen, J. Ryu, et al. · neural information processing systems · 11
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Labeling Cost Sensitive Batch Active Learning For Brain Tumor Segmentation
2021 · Maohao Shen, Jacky Y. Zhang, et al. · IEEE International Symposium on Biomedical Imaging (ISBI) · 11
Reliable Gradient-free and Likelihood-free Prompt Tuning
2023 · Maohao Shen, Soumya Ghosh, et al. · Findings of the Association for Computational Linguistics: EACL · 7
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VCA: Video Curious Agent for Long Video Understanding
2025 · Zeyuan Yang, Delin Chen, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 6
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Dimensionality Reduction Via Diffusion Map Improved With Supervised Linear Projection
2020 · Bowen Jiang, Maohao Shen · Proceedings - International Conference on Image Processing · 3
Thermometer: Towards Universal Calibration for Large Language Models
2024 · Shen, Maohao, Das, Subhro, et al. · arXiv (Cornell University) · 2
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Batch Active Learning from the Perspective of Sparse Approximation
2022 · Shen, Maohao, Jiang, Bowen, et al. · arXiv (Cornell University) · 2
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Group Fairness with Uncertainty in Sensitive Attributes
2023 · Shah, Abhin, Shen, Maohao, et al. · arXiv (Cornell University) · 1
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Perception or Reasoning? Diagnosing and Tackling Reinforcement Learning Bottlenecks in VLMs
2026 · Yang, Zeyuan, Chen, Zhuohao, et al. · arXiv (Cornell University)
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PersonaMem-v3: Toward Omni-Platform Personal Intelligence for Holistic User Understanding, Recommendation, and Agentic Tasks
2026 · Jiang, Bowen, Yuan, Yuan, et al. · arXiv (Cornell University)
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UniCanvas: A Diffusion-base Unified Model for Text-in-Image Joint Generation
2026 · Yang, Zeyuan, Chen, Hao-Wei, et al. · arXiv (Cornell University)
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FlowCompile: An Optimizing Compiler for Structured LLM Workflows
2026 · Li, Junyan, Hong, Zhang-Wei, et al. · arXiv (Cornell University)
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SkillOS: Learning Skill Curation for Self-Evolving Agents
2026 · Ouyang, Siru, Yan, Jun, et al. · arXiv (Cornell University)
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Decocted Experience Improves Test-Time Inference in LLM Agents
2026 · Shen, Maohao, Zha, Kaiwen, et al. · arXiv (Cornell University)
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GSRM: Generative Speech Reward Model for Speech RLHF
2026 · Shen, Maohao, Jayashankar, Tejas, et al. · arXiv (Cornell University)
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VowelPrompt: Hearing Speech Emotions from Text via Vowel-level Prosodic Augmentation
2026 · Wang, Yancheng, Hanna, Osama, et al. · arXiv (Cornell University)
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Machine Mental Imagery: Empower Multimodal Reasoning with Latent Visual Tokens
2025 · Yang, Zeyuan, Yu, Xueyang, et al. · arXiv (Cornell University)
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Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search
2025 · Shen, Maohao, Zeng, Guangtao, et al. · arXiv (Cornell University)
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Group Fairness with Uncertain Sensitive Attributes
2024 · Abhin Shah, Maohao Shen, et al. · IEEE International Symposium on Information Theory (ISIT)
Active Learning for Brain Tumor Segmentation
2021 · Maohao Shen · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)
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Dimensionality Reduction via Diffusion Map Improved with Supervised Linear Projection
2020 · Jiang, Bowen, Shen, Maohao · arXiv (Cornell University)
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Works count: 27
Citation count: 85
H-index: 6
I10-index: 4
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