Liangqiong Qu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
6
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | StyleTailor: Towards Personalized Fashion Styling via Hierarchical Negative Feedback. | Hongbo Ma, Fei Shen, Hongbin Xu, Xiaoce Wang, Gang Xu, Jinkai Zheng, Liangqiong Qu, Ming Li |
| 2026 | AAAI | Unleashing the Potential of Large Language Models for Text-to-Image Generation Through Autoregressive Representation Alignment. | Xing Xie, Jiawei Liu, Ziyue Lin, Huijie Fan, Zhi Han, Yandong Tang, Liangqiong Qu |
| 2025 | AAAI | MEPNet: Medical Entity-Balanced Prompting Network for Brain CT Report Generation. | Xiaodan Zhang, Yanzhao Shi, Junzhong Ji, Chengxin Zheng, Liangqiong Qu |
| 2025 | AAAI | A New Federated Learning Framework Against Gradient Inversion Attacks. | Pengxin Guo, Shuang Zeng, Wenhao Chen, Xiaodan Zhang, Weihong Ren, Yuyin Zhou, Liangqiong Qu |
| 2025 | ICLR | Selective Aggregation for Low-Rank Adaptation in Federated Learning. | Pengxin Guo, Shuang Zeng, Yanran Wang, Huijie Fan, Feifei Wang, Liangqiong Qu |
| 2025 | MICCAI | Region-Based Text-Consistent Augmentation for Multimodal Medical Segmentation. | Kunyan Cai, Chenggang Yan, Min He, Liangqiong Qu, Shuai Wang, Tao Tan |
| 2024 | AAAI | Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection. | Weibo Jiang, Weihong Ren, Jiandong Tian, Liangqiong Qu, Zhiyong Wang, Honghai Liu |
| 2024 | CVPR | Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding. | Zhiheng Cheng, Qingyue Wei, Hongru Zhu, Yan Wang, Liangqiong Qu, Wei Shao, Yuyin Zhou |
| 2024 | CVPR | Residual Denoising Diffusion Models. | Jiawei Liu, Qiang Wang, Huijie Fan, Yinong Wang, Yandong Tang, Liangqiong Qu |
| 2024 | CVPR | FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning. | Junyuan Zhang, Shuang Zeng, Miao Zhang, Runxi Wang, Feifei Wang, Yuyin Zhou, Paul Pu Liang, Liangqiong Qu |
| 2024 | EMNLP | See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation Learning. | Chengxin Zheng, Junzhong Ji, Yanzhao Shi, Xiaodan Zhang, Liangqiong Qu |
| 2024 | MICCAI | Addressing Catastrophic Forgetting by Modulating Global Batch Normalization Statistics for Medical Domain Expansion. | Sharut Gupta, Ken Chang, Liangqiong Qu, Aakanksha Rana, Syed Rakin Ahmed, Mehak Aggarwal, Nishanth Thumbavanam Arun, Ashwin Vaswani, Shruti Raghavan, Vibha Agarwal, Mishka Gidwani, Katharina Hoebel, Jay B. Patel, Charles Lu, Christopher P. Bridge, Daniel L. Rubin, Jayashree Kalpathy-Cramer, Praveer Singh |
| 2024 | MICCAI | Tackling Data Heterogeneity in Federated Learning via Loss Decomposition. | Shuang Zeng, Pengxin Guo, Shuai Wang, Jianbo Wang, Yuyin Zhou, Liangqiong Qu |
| 2023 | EMNLP | Granularity Matters: Pathological Graph-driven Cross-modal Alignment for Brain CT Report Generation. | Yanzhao Shi, Junzhong Ji, Xiaodan Zhang, Liangqiong Qu, Ying Liu |
| 2022 | CVPR | Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning. | Liangqiong Qu, Yuyin Zhou, Paul Pu Liang, Yingda Xia, Feifei Wang, Ehsan Adeli, Li Fei-Fei, Daniel L. Rubin |
| 2020 | MICCAI | Federated Learning for Breast Density Classification: A Real-World Implementation. | Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendona, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard D. White, Behrooz Hashemian, Thomas J. Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina Viktoria Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel L. Rubin, Jayashree Kalpathy-Cramer |
| 2019 | MICCAI | Wavelet-based Semi-supervised Adversarial Learning for Synthesizing Realistic 7T from 3T MRI. | Liangqiong Qu, Shuai Wang, Pew-Thian Yap, Dinggang Shen |
| 2017 | CVPR | DeshadowNet: A Multi-context Embedding Deep Network for Shadow Removal. | Liangqiong Qu, Jiandong Tian, Shengfeng He, Yandong Tang, Rynson W. H. Lau |
| 2017 | ICIP | A hand pose tracking benchmark from stereo matching. | Jiawei Zhang, Jianbo Jiao, Mingliang Chen, Liangqiong Qu, Xiaobin Xu, Qingxiong Yang |