Maohao Shen - RankMe

27 papers A* 5B 2Misc 1Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GSRM: Generative Speech Reward Model for Speech RLHF. CoRR 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
2026	J	`jnl`	VowelPrompt: Hearing Speech Emotions from Text via Vowel-level Prosodic Augmentation. CoRR 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
2025	Misc	`conf`	Get Large Language Models Ready to Speak: A Late-fusion Approach for Speech Generation. ICASSP Maohao Shen, Shun Zhang, Jilong Wu, Zhiping Xiu, Ehab A. AlBadawy, Yiting Lu, Mike Seltzer, Qing He
2025	J	`jnl`	Machine Mental Imagery: Empower Multimodal Reasoning with Latent Visual Tokens. CoRR Zeyuan Yang, Xueyang Yu, Delin Chen, Maohao Shen, Chuang Gan
2025	J	`jnl`	PersonaMem-v2: Towards Personalized Intelligence via Learning Implicit User Personas and Agentic Memory. CoRR 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
2025	J	`jnl`	RL Tango: Reinforcing Generator and Verifier Together for Language Reasoning. CoRR Kaiwen Zha, Zhengqi Gao, Maohao Shen, Zhang-Wei Hong, Duane S. Boning, Dina Katabi
2025	J	`jnl`	Satori-SWE: Evolutionary Test-Time Scaling for Sample-Efficient Software Engineering. CoRR Guangtao Zeng, Maohao Shen, Delin Chen, Zhenting Qi, Subhro Das, Dan Gutfreund, David Cox, Gregory W. Wornell, Wei Lu, Zhang-Wei Hong, Chuang Gan
2025	A*	`conf`	Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search. ICML Maohao Shen, Guangtao Zeng, Zhenting Qi, Zhang-Wei Hong, Zhenfang Chen, Wei Lu, Gregory W. Wornell, Subhro Das, David Daniel Cox, Chuang Gan
2025	J	`jnl`	Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search. CoRR Maohao Shen, Guangtao Zeng, Zhenting Qi, Zhang-Wei Hong, Zhenfang Chen, Wei Lu, Gregory W. Wornell, Subhro Das, David Cox, Chuang Gan
2024	A*	`conf`	Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage? NeurIPS Maohao Shen, Jongha Jon Ryu, Soumya Ghosh, Yuheng Bu, Prasanna Sattigeri, Subhro Das, Gregory W. Wornell
2024	J	`jnl`	Get Large Language Models Ready to Speak: A Late-fusion Approach for Speech Generation. CoRR Maohao Shen, Shun Zhang, Jilong Wu, Zhiping Xiu, Ehab A. AlBadawy, Yiting Lu, Mike Seltzer, Qing He
2024	B	`conf`	Group Fairness with Uncertain Sensitive Attributes. ISIT Abhin Shah, Maohao Shen, Jongha Jon Ryu, Subhro Das, Prasanna Sattigeri, Yuheng Bu, Gregory W. Wornell
2024	J	`jnl`	Improved Evidential Deep Learning via a Mixture of Dirichlet Distributions. CoRR Jongha Jon Ryu, Maohao Shen, Soumya Ghosh, Yuheng Bu, Prasanna Sattigeri, Subhro Das, Gregory W. Wornell
2024	A*	`conf`	Thermometer: Towards Universal Calibration for Large Language Models. ICML Maohao Shen, Subhro Das, Kristjan H. Greenewald, Prasanna Sattigeri, Gregory W. Wornell, Soumya Ghosh
2024	J	`jnl`	Thermometer: Towards Universal Calibration for Large Language Models. CoRR Maohao Shen, Subhro Das, Kristjan H. Greenewald, Prasanna Sattigeri, Gregory W. Wornell, Soumya Ghosh
2024	J	`jnl`	VCA: Video Curious Agent for Long Video Understanding. CoRR Zeyuan Yang, Delin Chen, Xueyang Yu, Maohao Shen, Chuang Gan
2023	J	`jnl`	Group Fairness with Uncertainty in Sensitive Attributes. CoRR Abhin Shah, Maohao Shen, Jongha Jon Ryu, Subhro Das, Prasanna Sattigeri, Yuheng Bu, Gregory W. Wornell
2023	A*	`conf`	On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation. ICML Maohao Shen, Yuheng Bu, Gregory W. Wornell
2023	A*	`conf`	Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model. AAAI Maohao Shen, Yuheng Bu, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Gregory W. Wornell
2023	—	`conf`	Reliable Gradient-free and Likelihood-free Prompt Tuning. EACL (Findings) Maohao Shen, Soumya Ghosh, Prasanna Sattigeri, Subhro Das, Yuheng Bu, Gregory W. Wornell
2023	J	`jnl`	Reliable Gradient-free and Likelihood-free Prompt Tuning. CoRR Maohao Shen, Soumya Ghosh, Prasanna Sattigeri, Subhro Das, Yuheng Bu, Gregory W. Wornell
2022	J	`jnl`	Batch Active Learning from the Perspective of Sparse Approximation. CoRR Maohao Shen, Bowen Jiang, Jacky Yibo Zhang, Oluwasanmi Koyejo
2022	J	`jnl`	On the Benefits of Selectivity in Pseudo-Labeling for Unsupervised Multi-Source-Free Domain Adaptation. CoRR Maohao Shen, Yuheng Bu, Gregory W. Wornell
2022	J	`jnl`	Post-hoc Uncertainty Learning using a Dirichlet Meta-Model. CoRR Maohao Shen, Yuheng Bu, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Gregory W. Wornell
2021	—	`conf`	Labeling Cost Sensitive Batch Active Learning For Brain Tumor Segmentation. ISBI Maohao Shen, Jacky Y. Zhang, Leihao Chen, Weiman Yan, Neel Jani, Brad Sutton, Oluwasanmi Koyejo
2020	B	`conf`	Dimensionality Reduction Via Diffusion Map Improved With Supervised Linear Projection. ICIP Bowen Jiang, Maohao Shen
2020	J	`jnl`	Dimensionality Reduction via Diffusion Map Improved with Supervised Linear Projection. CoRR Bowen Jiang, Maohao Shen