Wang, Yuqing

22 publications

ICCV 2025 Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation Yuqing Wang, Zhijie Lin, Yao Teng, Yuanzhi Zhu, Shuhuai Ren, Jiashi Feng, Xihui Liu

NeurIPS 2025 Learning Generalizable Shape Completion with SIM(3) Equivariance Yuqing Wang, Zhaiyu Chen, Xiao Xiang Zhu

LoG 2025 NP-NDS: A Nature-Powered Nonlinear Dynamical System for Power Grid Forecasting Chunshu Wu, Ruibing Song, Chuan Liu, Yuqing Wang, Yousu Chen, Ang Li, Dongfang Liu, Ying Nian Wu, Michael Huang, Tong Geng

CVPR 2025 Parallelized Autoregressive Visual Generation Yuqing Wang, Shuhuai Ren, Zhijie Lin, Yujin Han, Haoyuan Guo, Zhenheng Yang, Difan Zou, Jiashi Feng, Xihui Liu

CVPR 2025 Parametric Point Cloud Completion for Polygonal Surface Reconstruction Zhaiyu Chen, Yuqing Wang, Liangliang Nan, Xiao Xiang Zhu

ICLR 2025 SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models Haotian Xia, Zhengbang Yang, Junbo Zou, Rhys Tracy, Yuqing Wang, Chi Lu, Christopher Lai, Yanjun He, Xun Shao, Zhuoqing Xie, Yuan-fang Wang, Weining Shen, Hanjie Chen

NeurIPS 2025 Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation Xiaoyu Yue, ZiDong Wang, Yuqing Wang, Wenlong Zhang, Xihui Liu, Wanli Ouyang, Lei Bai, Luping Zhou

NeurIPS 2024 Evaluating the Design Space of Diffusion-Based Generative Models Yuqing Wang, Ye He, Molei Tao

MLHC 2024 FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records Yuqing Wang, Malvika Pillai, Yun Zhao, Catherine M Curtin, Tina Hernandez-Boussard

NeurIPS 2024 LVD-2M: A Long-Take Video Dataset with Temporally Dense Captions Tianwei Xiong, Yuqing Wang, Daquan Zhou, Zhijie Lin, Jiashi Feng, Xihui Liu

NeurIPS 2024 Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks Zhenghao Xu, Yuqing Wang, Tuo Zhao, Rachel Ward, Molei Tao

MLHC 2023 Are Large Language Models Ready for Healthcare? a Comparative Study on Clinical Language Understanding Yuqing Wang, Yun Zhao, Linda Petzold

CVPR 2023 DeepVecFont-V2: Exploiting Transformers to Synthesize Vector Fonts with Higher Quality Yuqing Wang, Yizhi Wang, Longhui Yu, Yuesheng Zhu, Zhouhui Lian

IJCAI 2023 Discovering Sounding Objects by Audio Queries for Audio Visual Segmentation Shaofei Huang, Han Li, Yuqing Wang, Hongji Zhu, Jiao Dai, Jizhong Han, Wenge Rong, Si Liu

NeurIPSW 2023 Good Regularity Creates Large Learning Rate Implicit Biases: Edge of Stability, Balancing, and Catapult Yuqing Wang, Zhenghao Xu, Tuo Zhao, Molei Tao

ICLR 2023 Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport Lingkai Kong, Yuqing Wang, Molei Tao

ICLR 2022 Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect Yuqing Wang, Minshuo Chen, Tuo Zhao, Molei Tao

ECCVW 2022 Meta-Causal Feature Learning for Out-of-Distribution Generalization Yuqing Wang, Xiangxian Li, Zhuang Qi, Jingyu Li, Xuelong Li, Xiangxu Meng, Lei Meng

CVPR 2021 End-to-End Video Instance Segmentation with Transformers Yuqing Wang, Zhaoliang Xu, Xinlong Wang, Chunhua Shen, Baoshan Cheng, Hao Shen, Huaxia Xia

NeurIPS 2021 Twins: Revisiting the Design of Spatial Attention in Vision Transformers Xiangxiang Chu, Zhi Tian, Yuqing Wang, Bo Zhang, Haibing Ren, Xiaolin Wei, Huaxia Xia, Chunhua Shen

NeurIPS 2020 Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? --- a Neural Tangent Kernel Perspective Kaixuan Huang, Yuqing Wang, Molei Tao, Tuo Zhao

IJCAI 2017 Score Aggregation via Spectral Method Mingyu Xiao, Yuqing Wang