Liangqiong Qu - RankMe

85 papers A* 13B 1C 1Journal 62Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DVG-Diffusion: Dual-View-Guided Diffusion Model for CT Reconstruction From X-Rays. IEEE Trans. Image Process. Xing Xie, Jiawei Liu, Huijie Fan, Zhi Han, Yandong Tang, Liangqiong Qu
2026	J	`jnl`	Exploring the Vulnerabilities of Federated Learning: A Deep Dive Into Gradient Inversion Attacks. IEEE Trans. Pattern Anal. Mach. Intell. Pengxin Guo, Runxi Wang, Shuang Zeng, Jinjing Zhu, Haoning Jiang, Yanran Wang, Yuyin Zhou, Feifei Wang, Hui Xiong, Liangqiong Qu
2026	J	`jnl`	M-Gaussian: An Magnetic Gaussian Framework for Efficient Multi-Stack MRI Reconstruction. CoRR Kangyuan Zheng, Xuan Cai, Jiangqi Wang, Guixing Fu, Zhuoshuo Li, Yazhou Chen, Xinting Ge, Liangqiong Qu, Mengting Liu
2026	A*	`conf`	StyleTailor: Towards Personalized Fashion Styling via Hierarchical Negative Feedback. AAAI Hongbo Ma, Fei Shen, Hongbin Xu, Xiaoce Wang, Gang Xu, Jinkai Zheng, Liangqiong Qu, Ming Li
2026	J	`jnl`	Understanding gait recognition through silhouette sequence disentanglement and fine-grained visualization. Pattern Recognit. Shaoxiong Zhang, Yixiu Liu, Jinkai Zheng, Liangqiong Qu, Ming Li, Chenggang Yan
2026	A*	`conf`	Unleashing the Potential of Large Language Models for Text-to-Image Generation Through Autoregressive Representation Alignment. AAAI Xing Xie, Jiawei Liu, Ziyue Lin, Huijie Fan, Zhi Han, Yandong Tang, Liangqiong Qu
2026	J	`jnl`	Unveiling Implicit Advantage Symmetry: Why GRPO Struggles with Exploration and Difficulty Adaptation. CoRR Zhiqi Yu, Zhangquan Chen, Mengting Liu, Heye Zhang, Liangqiong Qu
2025	A*	`conf`	A New Federated Learning Framework Against Gradient Inversion Attacks. AAAI Pengxin Guo, Shuang Zeng, Wenhao Chen, Xiaodan Zhang, Weihong Ren, Yuyin Zhou, Liangqiong Qu
2025	J	`jnl`	ATSTrack: Enhancing Visual-Language Tracking by Aligning Temporal and Spatial Scales. CoRR Yihao Zhen, Qiang Wang, Yu Qiao, Liangqiong Qu, Huijie Fan
2025	J	`jnl`	Benchmarking Radiology Report Generation From Noisy Free-Texts. IEEE J. Biomed. Health Informatics Yujian Yuan, Yanting Zheng, Liangqiong Qu
2025	J	`jnl`	DVG-Diffusion: Dual-View Guided Diffusion Model for CT Reconstruction from X-Rays. CoRR Xing Xie, Jiawei Liu, Huijie Fan, Zhi Han, Yandong Tang, Liangqiong Qu
2025	J	`jnl`	Discrete Diffusion Models with MLLMs for Unified Medical Multimodal Generation. CoRR Jiawei Mao, Yuhan Wang, Lifeng Chen, Can Zhao, Yucheng Tang, Dong Yang, Liangqiong Qu, Daguang Xu, Yuyin Zhou
2025	J	`jnl`	Distribution-aware Forgetting Compensation for Exemplar-Free Lifelong Person Re-identification. CoRR Shiben Liu, Huijie Fan, Qiang Wang, Baojie Fan, Yandong Tang, Liangqiong Qu
2025	J	`jnl`	Exploring Federated Pruning for Large Language Models. CoRR Pengxin Guo, Yinong Wang, Wei Li, Mengting Liu, Ming Li, Jinkai Zheng, Liangqiong Qu
2025	J	`jnl`	Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion Attacks. CoRR Pengxin Guo, Runxi Wang, Shuang Zeng, Jinjing Zhu, Haoning Jiang, Yanran Wang, Yuyin Zhou, Feifei Wang, Hui Xiong, Liangqiong Qu
2025	J	`jnl`	FedVLMBench: Benchmarking Federated Fine-Tuning of Vision-Language Models. CoRR Weiying Zheng, Ziyue Lin, Pengxin Guo, Yuyin Zhou, Feifei Wang, Liangqiong Qu
2025	J	`jnl`	HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding. CoRR Yanzhao Shi, Xiaodan Zhang, Junzhong Ji, Haoning Jiang, Chengxin Zheng, Yinong Wang, Liangqiong Qu
2025	J	`jnl`	Intra- and Inter-Head Orthogonal Attention for Image Captioning. IEEE Trans. Image Process. Xiaodan Zhang, Aozhe Jia, Junzhong Ji, Liangqiong Qu, Qixiang Ye
2025	A*	`conf`	MEPNet: Medical Entity-Balanced Prompting Network for Brain CT Report Generation. AAAI Xiaodan Zhang, Yanzhao Shi, Junzhong Ji, Chengxin Zheng, Liangqiong Qu
2025	J	`jnl`	MEPNet: Medical Entity-balanced Prompting Network for Brain CT Report Generation. CoRR Xiaodan Zhang, Yanzhao Shi, Junzhong Ji, Chengxin Zheng, Liangqiong Qu
2025	—	`conf`	Region-Based Text-Consistent Augmentation for Multimodal Medical Segmentation. MICCAI (3) Kunyan Cai, Chenggang Yan, Min He, Liangqiong Qu, Shuai Wang, Tao Tan
2025	A*	`conf`	Selective Aggregation for Low-Rank Adaptation in Federated Learning. ICLR Pengxin Guo, Shuang Zeng, Yanran Wang, Huijie Fan, Feifei Wang, Liangqiong Qu
2025	J	`jnl`	StyleTailor: Towards Personalized Fashion Styling via Hierarchical Negative Feedback. CoRR Hongbo Ma, Fei Shen, Hongbin Xu, Xiaoce Wang, Gang Xu, Jinkai Zheng, Liangqiong Qu, Ming Li
2025	A*	`conf`	TextSplat: Text-Guided Semantic Fusion for Generalizable Gaussian Splatting. ACM Multimedia Zhicong Wu, Hongbin Xu, Gang Xu, Ping Nie, Zhixin Yan, Jinkai Zheng, Liangqiong Qu, Ming Li, Liqiang Nie
2025	J	`jnl`	TextSplat: Text-Guided Semantic Fusion for Generalizable Gaussian Splatting. CoRR Zhicong Wu, Hongbin Xu, Gang Xu, Ping Nie, Zhixin Yan, Jinkai Zheng, Liangqiong Qu, Ming Li, Liqiang Nie
2025	J	`jnl`	Unleashing the Potential of Large Language Models for Text-to-Image Generation through Autoregressive Representation Alignment. CoRR Xing Xie, Jiawei Liu, Ziyue Lin, Huijie Fan, Zhi Han, Yandong Tang, Liangqiong Qu
2024	J	`jnl`	A New Federated Learning Framework Against Gradient Inversion Attacks. CoRR Pengxin Guo, Shuang Zeng, Wenhao Chen, Xiaodan Zhang, Weihong Ren, Yuyin Zhou, Liangqiong Qu
2024	—	`conf`	Addressing Catastrophic Forgetting by Modulating Global Batch Normalization Statistics for Medical Domain Expansion. AIPAD/PILM@MICCAI 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	A*	`conf`	Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection. AAAI Weibo Jiang, Weihong Ren, Jiandong Tian, Liangqiong Qu, Zhiyong Wang, Honghai Liu
2024	J	`jnl`	Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection. CoRR Weibo Jiang, Weihong Ren, Jiandong Tian, Liangqiong Qu, Zhiyong Wang, Honghai Liu
2024	A*	`conf`	FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning. CVPR Junyuan Zhang, Shuang Zeng, Miao Zhang, Runxi Wang, Feifei Wang, Yuyin Zhou, Paul Pu Liang, Liangqiong Qu
2024	J	`jnl`	FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning. Trans. Mach. Learn. Res. Peiran Xu, Zeyu Wang, Jieru Mei, Liangqiong Qu, Alan L. Yuille, Cihang Xie, Yuyin Zhou
2024	J	`jnl`	Learning Self- and Cross-Triplet Context Clues for Human-Object Interaction Detection. IEEE Trans. Circuits Syst. Video Technol. Weihong Ren, Jinguo Luo, Weibo Jiang, Liangqiong Qu, Zhi Han, Jiandong Tian, Honghai Liu
2024	J	`jnl`	MCDNet: An Infrared Small Target Detection Network Using Multi-Criteria Decision and Adaptive Labeling Strategy. IEEE Trans. Geosci. Remote. Sens. Tianlei Ma, Qi Ma, Zhen Yang, Jing J. Liang, Jun Fu, Yu Dou, Yanan Ku, Usman Ahmad, Liangqiong Qu
2024	J	`jnl`	Privacy preservation for federated learning in health care. Patterns Sarthak Pati, Sourav Kumar, Amokh Varma, Brandon Edwards, Charles Lu, Liangqiong Qu, Justin J. Wang, Anantharaman Lakshminarayanan, Shih-han Wang, Micah J. Sheller, Ken Chang, Praveer Singh, Daniel L. Rubin, Jayashree Kalpathy-Cramer, Spyridon Bakas
2024	A*	`conf`	Residual Denoising Diffusion Models. CVPR Jiawei Liu, Qiang Wang, Huijie Fan, Yinong Wang, Yandong Tang, Liangqiong Qu
2024	—	`conf`	See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation Learning. EMNLP (Findings) Chengxin Zheng, Junzhong Ji, Yanzhao Shi, Xiaodan Zhang, Liangqiong Qu
2024	J	`jnl`	See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation Learning. CoRR Chengxin Zheng, Junzhong Ji, Yanzhao Shi, Xiaodan Zhang, Liangqiong Qu
2024	J	`jnl`	Selective Aggregation for Low-Rank Adaptation in Federated Learning. CoRR Pengxin Guo, Shuang Zeng, Yanran Wang, Huijie Fan, Feifei Wang, Liangqiong Qu
2024	—	`conf`	Tackling Data Heterogeneity in Federated Learning via Loss Decomposition. MICCAI (10) Shuang Zeng, Pengxin Guo, Shuai Wang, Jianbo Wang, Yuyin Zhou, Liangqiong Qu
2024	J	`jnl`	Tackling Data Heterogeneity in Federated Learning via Loss Decomposition. CoRR Shuang Zeng, Pengxin Guo, Shuai Wang, Jianbo Wang, Yuyin Zhou, Liangqiong Qu
2024	A*	`conf`	Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding. CVPR Zhiheng Cheng, Qingyue Wei, Hongru Zhu, Yan Wang, Liangqiong Qu, Wei Shao, Yuyin Zhou
2024	J	`jnl`	Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding. CoRR Zhiheng Cheng, Qingyue Wei, Hongru Zhu, Yan Wang, Liangqiong Qu, Wei Shao, Yuyin Zhou
2023	J	`jnl`	A Decoupled Multi-Task Network for Shadow Removal. IEEE Trans. Multim. Jiawei Liu, Qiang Wang, Huijie Fan, Wentao Li, Liangqiong Qu, Yandong Tang
2023	J	`jnl`	Breast Tumor Segmentation in DCE-MRI With Tumor Sensitive Synthesis. IEEE Trans. Neural Networks Learn. Syst. Shuai Wang, Kun Sun, Li Wang, Liangqiong Qu, Fuhua Yan, Qian Wang, Dinggang Shen
2023	J	`jnl`	DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Macular Hole Reconstruction with Stochastic Retinal Defect Augmentation and Dynamic Weight Composition. CoRR Xingru Huang, Yihao Guo, Jian Huang, Zhi Li, Tianyun Zhang, Kunyan Cai, Gaopeng Huang, Wenhao Chen, Zhaoyang Xu, Liangqiong Qu, Ji Hu, Tingyu Wang, Shaowei Jiang, Chenggang Yan, Yaoqi Sun, Xin Ye, Yaqi Wang
2023	J	`jnl`	FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning. CoRR Peiran Xu, Zeyu Wang, Jieru Mei, Liangqiong Qu, Alan L. Yuille, Cihang Xie, Yuyin Zhou
2023	A*	`conf`	Granularity Matters: Pathological Graph-driven Cross-modal Alignment for Brain CT Report Generation. EMNLP Yanzhao Shi, Junzhong Ji, Xiaodan Zhang, Liangqiong Qu, Ying Liu
2023	J	`jnl`	Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging. IEEE Trans. Medical Imaging Rui Yan, Liangqiong Qu, Qingyue Wei, Shih-Cheng Huang, Liyue Shen, Daniel L. Rubin, Lei Xing, Yuyin Zhou
2023	—	`conf`	Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models. CHIL Siyi Tang, Jared A. Dunnmon, Liangqiong Qu, Khaled Kamal Saab, Tina Baykaner, Christopher Lee-Messer, Daniel L. Rubin
2023	J	`jnl`	Residual Denoising Diffusion Models. CoRR Jiawei Liu, Qiang Wang, Huijie Fan, Yinong Wang, Yandong Tang, Liangqiong Qu
2022	J	`jnl`	A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling. Pattern Recognit. Jie Wei, Zhengwang Wu, Li Wang, Toan Duc Bui, Liangqiong Qu, Pew-Thian Yap, Yong Xia, Gang Li, Dinggang Shen
2022	J	`jnl`	Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging. CoRR Rui Yan, Liangqiong Qu, Qingyue Wei, Shih-Cheng Huang, Liyue Shen, Daniel L. Rubin, Lei Xing, Yuyin Zhou
2022	J	`jnl`	Masked Co-attentional Transformer reconstructs 100x ultra-fast/low-dose whole-body PET from longitudinal images and anatomically guided MRI. CoRR Yan-Ran Wang, Liangqiong Qu, Natasha Diba Sheybani, Xiaolong Luo, Jiangshan Wang, Kristina Elizabeth Hawk, Ashok Joseph Theruvath, Sergios Gatidis, Xuerong Xiao, Allison Pribnow, Daniel L. Rubin, Heike E. Daldrup-Link
2022	J	`jnl`	Relation constraint self-attention for image captioning. Neurocomputing Junzhong Ji, Mingzhan Wang, Xiaodan Zhang, Minglong Lei, Liangqiong Qu
2022	A*	`conf`	Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning. CVPR Liangqiong Qu, Yuyin Zhou, Paul Pu Liang, Yingda Xia, Feifei Wang, Ehsan Adeli, Li Fei-Fei, Daniel L. Rubin
2022	J	`jnl`	Spatiotemporal Modeling of Multivariate Signals With Graph Neural Networks and Structured State Space Models. CoRR Siyi Tang, Jared A. Dunnmon, Liangqiong Qu, Khaled Kamal Saab, Christopher Lee-Messer, Daniel L. Rubin
2022	J	`jnl`	SplitAVG: A Heterogeneity-Aware Federated Deep Learning Method for Medical Imaging. IEEE J. Biomed. Health Informatics Miao Zhang, Liangqiong Qu, Praveer Singh, Jayashree Kalpathy-Cramer, Daniel L. Rubin
2021	J	`jnl`	Addressing catastrophic forgetting for medical domain expansion. CoRR Sharut Gupta, Praveer Singh, Ken Chang, Liangqiong Qu, 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
2021	J	`jnl`	An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging. CoRR Liangqiong Qu, Niranjan Balachandar, Daniel L. Rubin
2021	J	`jnl`	Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging. CoRR Liangqiong Qu, Niranjan Balachandar, Miao Zhang, Daniel L. Rubin
2021	J	`jnl`	Learning MRI Artifact Removal With Unpaired Data. CoRR Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap
2021	J	`jnl`	Learning MRI artefact removal with unpaired data. Nat. Mach. Intell. Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap
2021	J	`jnl`	Multi-Scale Context-Guided Deep Network for Automated Lesion Segmentation With Endoscopy Images of Gastrointestinal Tract. IEEE J. Biomed. Health Informatics Shuai Wang, Yang Cong, Hancan Zhu, Xianyi Chen, Liangqiong Qu, Huijie Fan, Qiang Zhang, Mingxia Liu
2021	J	`jnl`	Publisher Correction: Learning MRI artefact removal with unpaired data. Nat. Mach. Intell. Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap
2021	J	`jnl`	Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning. CoRR Liangqiong Qu, Yuyin Zhou, Paul Pu Liang, Yingda Xia, Feifei Wang, Li Fei-Fei, Ehsan Adeli, Daniel L. Rubin
2021	J	`jnl`	SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging. CoRR Miao Zhang, Liangqiong Qu, Praveer Singh, Jayashree Kalpathy-Cramer, Daniel L. Rubin
2020	J	`jnl`	CT Male Pelvic Organ Segmentation via Hybrid Loss Network With Incomplete Annotation. IEEE Trans. Medical Imaging Shuai Wang, Dong Nie, Liangqiong Qu, Yeqin Shao, Jun Lian, Qian Wang, Dinggang Shen
2020	—	`conf`	Federated Learning for Breast Density Classification: A Real-World Implementation. DART/DCL@MICCAI 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 Mendonça, 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
2020	J	`jnl`	Federated Learning for Breast Density Classification: A Real-World Implementation. CoRR 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 Mendonça, 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
2020	J	`jnl`	Iterative Label Denoising Network: Segmenting Male Pelvic Organs in CT From 3D Bounding Box Annotations. IEEE Trans. Biomed. Eng. Shuai Wang, Qian Wang, Yeqin Shao, Liangqiong Qu, Chunfeng Lian, Jun Lian, Dinggang Shen
2020	J	`jnl`	Synthesized 7T MRI from 3T MRI via deep learning in spatial and wavelet domains. Medical Image Anal. Liangqiong Qu, Yongqin Zhang, Shuai Wang, Pew-Thian Yap, Dinggang Shen
2020	J	`jnl`	The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions. CoRR Sharut Gupta, Praveer Singh, Ken Chang, Mehak Aggarwal, Nishanth Thumbavanam Arun, Liangqiong Qu, Katharina Hoebel, Jay B. Patel, Mishka Gidwani, Ashwin Vaswani, Daniel L. Rubin, Jayashree Kalpathy-Cramer
2019	—	`conf`	Wavelet-based Semi-supervised Adversarial Learning for Synthesizing Realistic 7T from 3T MRI. MICCAI (4) Liangqiong Qu, Shuai Wang, Pew-Thian Yap, Dinggang Shen
2018	J	`jnl`	Evaluation of shadow features. IET Comput. Vis. Liangqiong Qu, Jiandong Tian, Huijie Fan, Wentao Li, Yandong Tang
2017	J	`jnl`	A New Intrinsic-Lighting Color Space for Daytime Outdoor Images. IEEE Trans. Image Process. Zhi Han, Jiandong Tian, Liangqiong Qu, Yandong Tang
2017	B	`conf`	A hand pose tracking benchmark from stereo matching. ICIP Jiawei Zhang, Jianbo Jiao, Mingliang Chen, Liangqiong Qu, Xiaobin Xu, Qingxiong Yang
2017	A*	`conf`	DeshadowNet: A Multi-context Embedding Deep Network for Shadow Removal. CVPR Liangqiong Qu, Jiandong Tian, Shengfeng He, Yandong Tang, Rynson W. H. Lau
2017	J	`jnl`	RGBD Salient Object Detection via Deep Fusion. IEEE Trans. Image Process. Liangqiong Qu, Shengfeng He, Jiawei Zhang, Jiandong Tian, Yandong Tang, Qingxiong Yang
2016	J	`jnl`	3D Hand Pose Tracking and Estimation Using Stereo Matching. CoRR Jiawei Zhang, Jianbo Jiao, Mingliang Chen, Liangqiong Qu, Xiaobin Xu, Qingxiong Yang
2016	J	`jnl`	New spectrum ratio properties and features for shadow detection. Pattern Recognit. Jiandong Tian, Xiaojun Qi, Liangqiong Qu, Yandong Tang
2016	J	`jnl`	RGBD Salient Object Detection via Deep Fusion. CoRR Liangqiong Qu, Shengfeng He, Jiawei Zhang, Jiandong Tian, Yandong Tang, Qingxiong Yang
2015	—	`conf`	Object Color Constancy for Outdoor Multiple Light Sources. CCCV (2) Liangqiong Qu, Zhigang Duan, Jiandong Tian, Zhi Han, Yandong Tang
2015	C	`conf`	Shadow generation on an image based on tricolor linear attenuation model. ICICS Zhigang Duan, Jiandong Tian, Liangqiong Qu, Yandong Tang, Yang Cong
2014	J	`jnl`	Pixel-wise Orthogonal Decomposition for Color Illumination Invariant and Shadow-free Image. CoRR Liangqiong Qu, Jiandong Tian, Zhi Han, Yandong Tang