Wang, Yucheng

16 publications

FnTML 2025 Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Alex Strasser, Haiyang Yu, Yuqing Xie, Xiang Fu, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji

NeurIPS 2025 Aux-Think: Exploring Reasoning Strategies for Data-Efficient Vision-Language Navigation Shuo Wang, Yongcai Wang, Wanting Li, Xudong Cai, Yucheng Wang, Maiyue Chen, Kaihui.Wang, Zhizhong Su, Deying Li, Zhaoxin Fan

NeurIPS 2025 C-LoRA: Contextual Low-Rank Adaptation for Uncertainty Estimation in Large Language Models Amir Hossein Rahmati, Sanket Jantre, Weifeng Zhang, Yucheng Wang, Byung-Jun Yoon, Nathan Urban, Xiaoning Qian

ICCV 2025 From One to More: Contextual Part Latents for 3D Generation Shaocong Dong, Lihe Ding, Xiao Chen, Yaokun Li, Yuxin Wang, Yucheng Wang, Qi Wang, Jaehyeok Kim, Chenjian Gao, Zhanpeng Huang, Zibin Wang, Tianfan Xue, Dan Xu

CVPRW 2025 Scale-Invariant Implicit Neural Representations for Object Counting Siyuan Xu, Yucheng Wang, Xihaier Luo, Byung-Jun Yoon, Xiaoning Qian

ECCV 2024 Foster Adaptivity and Balance in Learning with Noisy Labels Mengmeng Sheng, Zeren Sun, Tao Chen, Shuchao Pang, Yucheng Wang, Yazhou Yao

AAAI 2024 Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

AAAI 2024 Graph-Aware Contrasting for Multivariate Time-Series Classification Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

TMLR 2024 Hashing with Uncertainty Quantification via Sampling-Based Hypothesis Testing Yucheng Wang, Mingyuan Zhou, Xiaoning Qian

ECCV 2024 Knowledge Transfer with Simulated Inter-Image Erasing for Weakly Supervised Semantic Segmentation Tao Chen, Xiruo Jiang, Gensheng Pei, Zeren Sun, Yucheng Wang, Yazhou Yao

AISTATS 2024 Uncertainty-Aware Continuous Implicit Neural Representations for Remote Sensing Object Counting Siyuan Xu, Yucheng Wang, Mingzhou Fan, Byung-Jun Yoon, Xiaoning Qian

AAAI 2023 SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation Yucheng Wang, Yuecong Xu, Jianfei Yang, Zhenghua Chen, Min Wu, Xiaoli Li, Lihua Xie

AISTATS 2023 Uncertainty-Aware Unsupervised Video Hashing Yucheng Wang, Mingyuan Zhou, Yu Sun, Xiaoning Qian

ICCV 2021 Distilling Holistic Knowledge with Graph Neural Networks Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu

AAAI 2018 Deep Stereo Matching with Explicit Cost Aggregation Sub-Architecture Lidong Yu, Yucheng Wang, Yuwei Wu, Yunde Jia

CVPRW 2011 A Real-Time System for 3D Recovery of Dynamic Scene with Multiple RGBD Imagers Yong Duan, Lei Chen, Yucheng Wang, Min Yang, Xiameng Qin, Shaoyang He, Yunde Jia