Dimensionality Reduction Via Diffusion Map Improved With Supervised Linear Projection. - Bowen Jiang 001; Maohao Shen (ICIP, 2020)

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 (ISBI, 2021)

On the Benefits of Selectivity in Pseudo-Labeling for Unsupervised Multi-Source-Free Domain Adaptation. - Maohao Shen; Yuheng Bu; Gregory W. Wornell (CoRR, 2022)

Batch Active Learning from the Perspective of Sparse Approximation. - Maohao Shen; Bowen Jiang 001; Jacky Yibo Zhang; Oluwasanmi Koyejo (CoRR, 2022)

Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model. - Maohao Shen; Yuheng Bu; Prasanna Sattigeri; Soumya Ghosh; Subhro Das; Gregory W. Wornell (AAAI, 2023)

Reliable Gradient-free and Likelihood-free Prompt Tuning. - Maohao Shen; Soumya Ghosh; Prasanna Sattigeri; Subhro Das; Yuheng Bu; Gregory W. Wornell (EACL (Findings), 2023)

On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation. - Maohao Shen; Yuheng Bu; Gregory W. Wornell (ICML, 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)

Thermometer: Towards Universal Calibration for Large Language Models. - Maohao Shen; Subhro Das; Kristjan H. Greenewald; Prasanna Sattigeri; Gregory W. Wornell; Soumya Ghosh (ICML, 2024)

Group Fairness with Uncertain Sensitive Attributes. - Abhin Shah; Maohao Shen; Jongha Jon Ryu; Subhro Das; Prasanna Sattigeri; Yuheng Bu; Gregory W. Wornell (ISIT, 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 (NeurIPS, 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)

VCA: Video Curious Agent for Long Video Understanding. - Zeyuan Yang 002; Delin Chen; Xueyang Yu; Maohao Shen; Chuang Gan 001 (CoRR, 2024)

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 (ICASSP, 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 Cox; Chuang Gan 001 (CoRR, 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 (CoRR, 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 001 (CoRR, 2025)

Machine Mental Imagery: Empower Multimodal Reasoning with Latent Visual Tokens. - Zeyuan Yang 002; Xueyang Yu; Delin Chen; Maohao Shen; Chuang Gan 001 (CoRR, 2025)