Peiqi Wang

18 papers A* 2Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2025 A* conf
Calibrating Expressions of Certainty.
ICLR
Peiqi Wang, Barbara D. Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William M. Wells III, Tina Kapur, Polina Golland
2025 A* conf
Enhancing Connection Strength in Freeform Modular Reconfigurable Robots Through Holey Sphere and Gripper Mechanisms.
ICRA
Peiqi Wang, Guanqi Liang, Da Zhao, Tin Lun Lam
2025 — conf
Fetuses Made Simple: Modeling and Tracking of Fetal Shape and Pose.
MICCAI (11)
Yingcheng Liu, Peiqi Wang, Sebastian Diaz, Esra Abaci Turk, Benjamin Billot, Patricia Ellen Grant, Polina Golland
2025 J jnl
Fetuses Made Simple: Modeling and Tracking of Fetal Shape and Pose.
CoRR
Yingcheng Liu, Peiqi Wang, Sebastian Diaz, Esra Abaci Turk, Benjamin Billot, Patricia Ellen Grant, Polina Golland
2025 — conf
Inference Compute-Optimal Video Vision Language Models.
ACL (1)
Peiqi Wang, Shengyun Peng, Xuewen Zhang, Hanchao Yu, Yibo Yang, Lifu Huang, Fujun Liu, Qifan Wang
2025 J jnl
Inference Compute-Optimal Video Vision Language Models.
CoRR
Peiqi Wang, Shengyun Peng, Xuewen Zhang, Hanchao Yu, Yibo Yang, Lifu Huang, Fujun Liu, Qifan Wang
2024 J jnl
Adaptive Image Enhancement Method for Coal-Mine Underground Image Based on No-Reference Quality Evaluation.
IEEE Trans. Instrum. Meas.
Dong Wei, Peiqi Wang, Zhongbin Wang, Lei Si, Xiaoyu Zou, Jinheng Gu, Jianbo Dai, Chengyun Long
2024 J jnl
Calibrating Expressions of Certainty.
CoRR
Peiqi Wang, Barbara D. Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William M. Wells III, Tina Kapur, Polina Golland
2024 J jnl
Diversity Measurement and Subset Selection for Instruction Tuning Datasets.
CoRR
Peiqi Wang, Yikang Shen, Zhen Guo, Matthew Stallone, Yoon Kim, Polina Golland, Rameswar Panda
2023 J jnl
Dr. LLaMA: Improving Small Language Models on PubMedQA via Generative Data Augmentation.
CoRR
Zhen Guo, Peiqi Wang, Yanwei Wang, Shangdi Yu
2023 — conf
Sample-Specific Debiasing for Better Image-Text Models.
MLHC
Peiqi Wang, Yingcheng Liu, Ching-Yun Ko, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
2023 J jnl
Sample-Specific Debiasing for Better Image-Text Models.
CoRR
Peiqi Wang, Yingcheng Liu, Ching-Yun Ko, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
2023 — conf
Using Multiple Instance Learning to Build Multimodal Representations.
IPMI
Peiqi Wang, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
2022 J jnl
Using Multiple Instance Learning to Build Multimodal Representations.
CoRR
Peiqi Wang, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
2021 J jnl
A Probabilistic Approach to Extended Finite State Mean Field Games.
Math. Oper. Res.
René Carmona, Peiqi Wang
2021 J jnl
Finite-State Contract Theory with a Principal and a Field of Agents.
Manag. Sci.
René Carmona, Peiqi Wang
2021 — conf
Image Classification with Consistent Supporting Evidence.
ML4H@NeurIPS
Peiqi Wang, Ruizhi Liao, Daniel Moyer, Seth J. Berkowitz, Steven Horng, Polina Golland
2021 J jnl
Image Classification with Consistent Supporting Evidence.
CoRR
Peiqi Wang, Ruizhi Liao, Daniel Moyer, Seth J. Berkowitz, Steven Horng, Polina Golland