Wang, Xiaoqi

10 publications

ICCV 2025 AdvDreamer Unveils: Are Vision-Language Models Truly Ready for Real-World 3D Variations? Shouwei Ruan, Hanqing Liu, Yao Huang, Xiaoqi Wang, Caixin Kang, Hang Su, Yinpeng Dong, Xingxing Wei
IJCAI 2025 MTGIB-UNet: A Multi-Task Graph Information Bottleneck and Uncertainty Weighted Network for ADMET Prediction Xuqiang Li, Wenjie Du, Jun Xia, Jianmin Wang, Xiaoqi Wang, Yang Yang, Yang Wang
IJCAI 2025 Multi-Scale Temporal Neural Network for Stock Trend Prediction Enhanced by Temporal Hyepredge Learning Lingyun Song, Haodong Li, Siyu Chen, Xinbiao Gan, Binze Shi, Jie Ma, Yudai Pan, Xiaoqi Wang, Xuequn Shang
ICCV 2025 ProSAM: Enhancing the Robustness of SAM-Based Visual Reference Segmentation with Probabilistic Prompts Xiaoqi Wang, Clint Sebastian, Wenbin He, Liu Ren
CVPRW 2024 Deep Portrait Quality Assessment. a NTIRE 2024 Challenge Survey Nicolas Chahine, Marcos V. Conde, Daniela Carfora, Gabriel Pacianotto, Benoit Pochon, Sira Ferradans, Radu Timofte, Zhichao Duan, Xinrui Xu, Yipo Huang, Quan Yuan, Xiangfei Sheng, Zhichao Yang, Leida Li, Haotian Fan, Fangyuan Kong, Yifang Xu, Wei Sun, Weixia Zhang, Yanwei Jiang, Haoning Wu, Zicheng Zhang, Jun Jia, Yingjie Zhou, Zhongpeng Ji, Xiongkuo Min, Weisi Lin, Guangtao Zhai, Xiaoqi Wang, Junqi Liu, Zixi Guo, Yun Zhang, Zewen Chen, Wen Wang, Juan Wang, Bing Li
NeurIPS 2024 FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction Ziwei Li, Xiaoqi Wang, Hong-You Chen, Han-Wei Shen, Wei-Lun Chao
ICLR 2024 GNNBoundary: Towards Explaining Graph Neural Networks Through the Lens of Decision Boundaries Xiaoqi Wang, Han Wei Shen
CVPR 2024 USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation Xiaoqi Wang, Wenbin He, Xiwei Xuan, Clint Sebastian, Jorge Piazentin Ono, Xin Li, Sima Behpour, Thang Doan, Liang Gou, Han-Wei Shen, Liu Ren
CVPRW 2023 ECA-ConvNeXt: A Rice Leaf Disease Identification Model Based on ConvNeXt Xiaoqi Wang, Yaojun Wang, Jingbo Zhao, Jing Niu
ICLR 2023 GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks Xiaoqi Wang, Han Wei Shen