| 2026 | AAAI | KSS-MoE: Knowledge Space Synergy Framework in Mixture of Experts for Continual Visual Instruction Tuning. | Lingyun Song, Ziyao Chen, Kang Pan, Xiaolin Han, Xinbiao Gan, Yudai Pan, Xiaofan Sun, Xiaoqi Wang, Xuequn Shang |
| 2025 | ICCV | 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 |
| 2025 | ICCV | ProSAM: Enhancing the Robustness of Sam-Based Visual Reference Segmentation with Probabilistic Prompts. | Xiaoqi Wang, Clint Sebastian, Wenbin He, Liu Ren |
| 2025 | IJCAI | 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 |
| 2025 | IJCAI | 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 |
| 2024 | CSCWD | Intelligent Convergence: Advancing 6G mmWave Networks with RIS-Enhanced ISAC for IoT Applications. | Xuanhui Liu, Yifeng Zhao, Xiaoqi Wang, Bo Wang, Keyi Cheng |
| 2024 | CSCWD | Dual-Objective Optimization for MmWave ISAC Systems via Collaborative Beamforming. | Xiaoqi Wang, Yifeng Zhao, Haoran Liu, Keyi Cheng, Bo Wang |
| 2024 | CVPR | 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 |
| 2024 | CVPR | 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 |
| 2024 | ICLR | GNNBoundary: Towards Explaining Graph Neural Networks through the Lens of Decision Boundaries. | Xiaoqi Wang, Han-Wei Shen |
| 2024 | WCNC | Analysis and Modeling on the Characteristics of Two-Way Virtual Reality Traffic: A Network Calculus Approach. | Xiao Hong, Xiaoqi Wang, Yuehong Gao, Jiamo Jiang, Xiaoyan Xu, Hongwen Yang |
| 2023 | CVPR | ECA-ConvNeXt: A Rice Leaf Disease Identification Model Based on ConvNeXt. | Xiaoqi Wang, Yaojun Wang, Jingbo Zhao, Jing Niu |
| 2023 | ICASSP | Learning Hybrid Representations of Semantics and Distortion for Blind Image Quality Assessment. | Xiaoqi Wang, Jian Xiong, Bo Li, Jinli Suo, Hao Gao |
| 2023 | ICLR | GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks. | Xiaoqi Wang, Han-Wei Shen |
| 2022 | RE | Requirements Patterns for Complex Embedded Systems. | Xiaoqi Wang, Xiaohong Chen, Xiao Yang, Bo Yang |
| 2020 | NPC | A Dynamic Protection Mechanism for GPU Memory Overflow. | Yaning Yang, Xiaoqi Wang, Shaoliang Peng |
| 2019 | ICCV | VTNFP: An Image-Based Virtual Try-On Network With Body and Clothing Feature Preservation. | Ruiyun Yu, Xiaoqi Wang, Xiaohui Xie |
| 2019 | IGARSS | Spatially Assessing Navigational Environmental Risk Along Fairway in Foggy Season Exploiting Modis Data. | Xiaoqi Wang, Li Jiang, Yanfang Xiao, Chunyang Zhu, Kaiqiang Ma, Shanwei Liu, Zhe Zeng |
| 2019 | ISI | Pre-trained Contextualized Representation for Chinese Conversation Topic Classification. | Yujun Zhou, Changliang Li, Saike He, Xiaoqi Wang, Yiming Qiu |
| 2018 | ICASSP | Insights in-to-End Learning Scheme for Language Identification. | Weicheng Cai, Zexin Cai, Wenbo Liu, Xiaoqi Wang, Ming Li |
| 2018 | ICASSP | A Novel Learnable Dictionary Encoding Layer for End-to-End Language Identification. | Weicheng Cai, Zexin Cai, Xiang Zhang, Xiaoqi Wang, Ming Li |