Maohao Shen

According to our database, Maohao Shen authored at least 24 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

FlowCompile: An Optimizing Compiler for Structured LLM Workflows.

Junyan Li, Zhang-Wei Hong, Maohao Shen, Yang Zhang, Chuang Gan

CoRR, May, 2026

SkillOS: Learning Skill Curation for Self-Evolving Agents.

Siru Ouyang, Jun Yan, Yanfei Chen, Rujun Han, Zifeng Wang, Bhavana Dalvi Mishra, Rui Meng, Chun-Liang Li, Yizhu Jiao, Kaiwen Zha, Maohao Shen, Vishy Tirumalashetty, George Lee, Jiawei Han, Tomas Pfister, Chen-Yu Lee

CoRR, May, 2026

Decocted Experience Improves Test-Time Inference in LLM Agents.

Maohao Shen, Kaiwen Zha, Zexue He, Zhang-Wei Hong, Siru Ouyang, J. Jon Ryu, Prasanna Sattigeri, Suhas N. Diggavi, Gregory W. Wornell

CoRR, April, 2026

GSRM: Generative Speech Reward Model for Speech RLHF.

Maohao Shen, Tejas Jayashankar, Osama Hanna, Naoyuki Kanda, Yancheng Wang, Katerina Zmolíková, Ruiming Xie, Niko Moritz, Anfeng Xu, Yashesh Gaur, Gregory W. Wornell, Qing He, Jilong Wu

CoRR, February, 2026

VowelPrompt: Hearing Speech Emotions from Text via Vowel-level Prosodic Augmentation.

Yancheng Wang, Osama Hanna, Ruiming Xie, Xianfeng Rui, Maohao Shen, Xuedong Zhang, Christian Fuegen, Jilong Wu, Debjyoti Paul, Arthur Guo, Zhihong Lei, Ozlem Kalinli, Qing He, Yingzhen Yang

CoRR, February, 2026

2025

PersonaMem-v2: Towards Personalized Intelligence via Learning Implicit User Personas and Agentic Memory.

Bowen Jiang, Yuan Yuan, Maohao Shen, Zhuoqun Hao, Zhangchen Xu, Zichen Chen, Ziyi Liu, Anvesh Rao Vijjini, Jiashu He, Hanchao Yu, Radha Poovendran, Gregory W. Wornell, Lyle H. Ungar, Dan Roth, Sihao Chen, Camillo Jose Taylor

CoRR, December, 2025

Machine Mental Imagery: Empower Multimodal Reasoning with Latent Visual Tokens.

Zeyuan Yang, Xueyang Yu, Delin Chen, Maohao Shen, Chuang Gan

CoRR, June, 2025

Satori-SWE: Evolutionary Test-Time Scaling for Sample-Efficient Software Engineering.

Guangtao Zeng, Maohao Shen, Delin Chen, Zhenting Qi, Subhro Das, Dan Gutfreund, David Cox, Gregory W. Wornell, Wei Lu, Zhang-Wei Hong, Chuang Gan

CoRR, May, 2025

RL Tango: Reinforcing Generator and Verifier Together for Language Reasoning.

Kaiwen Zha, Zhengqi Gao, Maohao Shen, Zhang-Wei Hong, Duane S. Boning, Dina Katabi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search.

Maohao Shen, Guangtao Zeng, Zhenting Qi, Zhang-Wei Hong, Zhenfang Chen, Wei Lu, Gregory W. Wornell, Subhro Das, David Daniel Cox, Chuang Gan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

VCA: Video Curious Agent for Long Video Understanding.

Zeyuan Yang, Delin Chen, Xueyang Yu, Maohao Shen, Chuang Gan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Get Large Language Models Ready to Speak: A Late-fusion Approach for Speech Generation.

Maohao Shen, Shun Zhang, Jilong Wu, Zhiping Xiu, Ehab A. AlBadawy, Yiting Lu, Mike Seltzer, Qing He

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Improved Evidential Deep Learning via a Mixture of Dirichlet Distributions.

Jongha Jon Ryu, Maohao Shen, Soumya Ghosh, Yuheng Bu, Prasanna Sattigeri, Subhro Das, Gregory W. Wornell

CoRR, 2024

Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?

Maohao Shen, Jongha Jon Ryu, Soumya Ghosh, Yuheng Bu, Prasanna Sattigeri, Subhro Das, Gregory W. Wornell

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Group Fairness with Uncertain Sensitive Attributes.

Abhin Shah, Maohao Shen, Jongha Jon Ryu, Subhro Das, Prasanna Sattigeri, Yuheng Bu, Gregory W. Wornell

Proceedings of the IEEE International Symposium on Information Theory, 2024

Thermometer: Towards Universal Calibration for Large Language Models.

Maohao Shen, Subhro Das, Kristjan H. Greenewald, Prasanna Sattigeri, Gregory W. Wornell, Soumya Ghosh

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Group Fairness with Uncertainty in Sensitive Attributes.

Abhin Shah, Maohao Shen, Jongha Jon Ryu, Subhro Das, Prasanna Sattigeri, Yuheng Bu, Gregory W. Wornell

CoRR, 2023

On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation.

Maohao Shen, Yuheng Bu, Gregory W. Wornell

Proceedings of the International Conference on Machine Learning, 2023

Reliable Gradient-free and Likelihood-free Prompt Tuning.

Maohao Shen, Soumya Ghosh, Prasanna Sattigeri, Subhro Das, Yuheng Bu, Gregory W. Wornell

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model.

Maohao Shen, Yuheng Bu, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Gregory W. Wornell

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Batch Active Learning from the Perspective of Sparse Approximation.

Maohao Shen, Bowen Jiang, Jacky Yibo Zhang, Oluwasanmi Koyejo

CoRR, 2022

On the Benefits of Selectivity in Pseudo-Labeling for Unsupervised Multi-Source-Free Domain Adaptation.

Maohao Shen, Yuheng Bu, Gregory W. Wornell

CoRR, 2022

2021

Labeling Cost Sensitive Batch Active Learning For Brain Tumor Segmentation.

Maohao Shen, Jacky Y. Zhang, Leihao Chen, Weiman Yan, Neel Jani, Brad Sutton, Oluwasanmi Koyejo

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Dimensionality Reduction Via Diffusion Map Improved With Supervised Linear Projection.

Bowen Jiang, Maohao Shen

Proceedings of the IEEE International Conference on Image Processing, 2020