Wang, Yuhao

26 publications

AAAI 2025 CLIMB-ReID: A Hybrid CLIP-Mamba Framework for Person Re-Identification Chenyang Yu, Xuehu Liu, Jiawen Zhu, Yuhao Wang, Pingping Zhang, Huchuan Lu
AAAI 2025 DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification Yuhao Wang, Yang Liu, Aihua Zheng, Pingping Zhang
NeurIPS 2025 EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models Yantai Yang, Yuhao Wang, Zichen Wen, Luo Zhongwei, Chang Zou, Zhipeng Zhang, Chuan Wen, Linfeng Zhang
AISTATS 2025 Gaussian Mean Testing Under Truncation Clement Louis Canonne, Themis Gouleakis, Yuhao Wang, Qiping Yang
CVPR 2025 IDEA: Inverted Text with Cooperative Deformable Aggregation for Multi-Modal Object Re-Identification Yuhao Wang, Yongfeng Lv, Pingping Zhang, Huchuan Lu
AISTATS 2025 Learning High-Dimensional Gaussians from Censored Data Arnab Bhattacharyya, Constantinos Costis Daskalakis, Themis Gouleakis, Yuhao Wang
AAAI 2025 MambaPro: Multi-Modal Object Re-Identification with Mamba Aggregation and Synergistic Prompt Yuhao Wang, Xuehu Liu, Tianyu Yan, Yang Liu, Aihua Zheng, Pingping Zhang, Huchuan Lu
WACV 2025 Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation Zifu Wan, Pingping Zhang, Yuhao Wang, Silong Yong, Simon Stepputtis, Katia Sycara, Yaqi Xie
UAI 2025 Toward Universal Laws of Outlier Propagation Aram Ebtekar, Yuhao Wang, Dominik Janzing
ICCV 2025 UniConvNet: Expanding Effective Receptive Field While Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale Yuhao Wang, Wei Xi
ICLR 2025 Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement Xueyao Zhang, Xiaohui Zhang, Kainan Peng, Zhenyu Tang, Vimal Manohar, Yingru Liu, Jeff Hwang, Dangna Li, Yuhao Wang, Julian Chan, Yuan Huang, Zhizheng Wu, Mingbo Ma
NeurIPS 2024 G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models Pengyue Jia, Yiding Liu, Xiaopeng Li, Yuhao Wang, Yantong Du, Xiao Han, Xuetao Wei, Shuaiqiang Wang, Dawei Yin, Xiangyu Zhao
ICML 2024 Knowledge-Aware Reinforced Language Models for Protein Directed Evolution Yuhao Wang, Qiang Zhang, Ming Qin, Xiang Zhuang, Xiaotong Li, Zhichen Gong, Zeyuan Wang, Yu Zhao, Jianhua Yao, Keyan Ding, Huajun Chen
CVPR 2024 Magic Tokens: Select Diverse Tokens for Multi-Modal Object Re-Identification Pingping Zhang, Yuhao Wang, Yang Liu, Zhengzheng Tu, Huchuan Lu
AISTATS 2024 Optimal Estimation of Gaussian (poly)trees Yuhao Wang, Ming Gao, Wai Ming Tai, Bryon Aragam, Arnab Bhattacharyya
AAAI 2024 TOP-ReID: Multi-Spectral Object Re-Identification with Token Permutation Yuhao Wang, Xuehu Liu, Pingping Zhang, Hu Lu, Zhengzheng Tu, Huchuan Lu
NeurIPS 2023 Bayesian Risk-Averse Q-Learning with Streaming Observations Yuhao Wang, Enlu Zhou
AISTATS 2022 Learning Sparse Fixed-Structure Gaussian Bayesian Networks Arnab Bhattacharyya, Davin Choo, Rishikesh Gajjala, Sutanu Gayen, Yuhao Wang
AAAI 2022 Identifiability of Linear AMP Chain Graph Models Yuhao Wang, Arnab Bhattacharyya
JMLR 2022 Joint Inference of Multiple Graphs from Matrix Polynomials Madeline Navarro, Yuhao Wang, Antonio G. Marques, Caroline Uhler, Santiago Segarra
UAI 2020 Anchored Causal Inference in the Presence of Measurement Error Basil Saeed, Anastasiya Belyaeva, Yuhao Wang, Caroline Uhler
AAAI 2020 DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks Ao Ren, Tao Zhang, Yuhao Wang, Sheng Lin, Peiyan Dong, Yen-Kuang Chen, Yuan Xie, Yanzhi Wang
AISTATS 2020 Learning High-Dimensional Gaussian Graphical Models Under Total Positivity Without Adjustment of Tuning Parameters Yuhao Wang, Uma Roy, Caroline Uhler
UAI 2020 Permutation-Based Causal Structure Learning with Unknown Intervention Targets Chandler Squires, Yuhao Wang, Caroline Uhler
NeurIPS 2018 Direct Estimation of Differences in Causal Graphs Yuhao Wang, Chandler Squires, Anastasiya Belyaeva, Caroline Uhler
NeurIPS 2017 Permutation-Based Causal Inference Algorithms with Interventions Yuhao Wang, Liam Solus, Karren Yang, Caroline Uhler