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Zizhao Zhang
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2020 – today
- 2024
- [j23]Elvis Han Cui, Zizhao Zhang, Weng Kee Wong:
Optimal designs for nonlinear mixed-effects models using competitive swarm optimizer with mutated agents. Stat. Comput. 34(5): 156 (2024) - [c40]Zifeng Wang, Chun-Liang Li, Vincent Perot, Long T. Le, Jin Miao, Zizhao Zhang, Chen-Yu Lee, Tomas Pfister:
CodecLM: Aligning Language Models with Tailored Synthetic Data. NAACL-HLT (Findings) 2024: 3712-3729 - [c39]Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang:
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs. VLDB Workshops 2024 - [c38]Zhuowei Li, Long Zhao, Zizhao Zhang, Han Zhang, Di Liu, Ting Liu, Dimitris N. Metaxas:
Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning. WACV 2024: 2511-2521 - [i38]Zifeng Wang, Chun-Liang Li, Vincent Perot, Long T. Le, Jin Miao, Zizhao Zhang, Chen-Yu Lee, Tomas Pfister:
CodecLM: Aligning Language Models with Tailored Synthetic Data. CoRR abs/2404.05875 (2024) - [i37]Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang:
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs. CoRR abs/2404.18209 (2024) - [i36]Yuxiang Zheng, Shichao Sun, Lin Qiu, Dongyu Ru, Cheng Jiayang, Xuefeng Li, Jifan Lin, Binjie Wang, Yun Luo, Renjie Pan, Yang Xu, Qingkai Min, Zizhao Zhang, Yiwen Wang, Wenjie Li, Pengfei Liu:
OpenResearcher: Unleashing AI for Accelerated Scientific Research. CoRR abs/2408.06941 (2024) - [i35]Dongyu Ru, Lin Qiu, Xiangkun Hu, Tianhang Zhang, Peng Shi, Shuaichen Chang, Cheng Jiayang, Cunxiang Wang, Shichao Sun, Huanyu Li, Zizhao Zhang, Binjie Wang, Jiarong Jiang, Tong He, Zhiguo Wang, Pengfei Liu, Yue Zhang, Zheng Zhang:
RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation. CoRR abs/2408.08067 (2024) - 2023
- [j22]Ying Chen, Yiqi Huang, Zizhao Zhang, Zhen Wang, Bo Liu, Conghui Liu, Cong Huang, Shuangyu Dong, Xuejiao Pu, Fanghao Wan, Xi Qiao
, Wanqiang Qian:
Plant image recognition with deep learning: A review. Comput. Electron. Agric. 212: 108072 (2023) - [j21]Xin Yu, Qi Yang
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation. Medical Image Anal. 90: 102939 (2023) - [c37]Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer G. Dy, Vincent Perot, Tomas Pfister:
QueryForm: A Simple Zero-shot Form Entity Query Framework. ACL (Findings) 2023: 4146-4159 - [c36]Jingyi Yu, Zizhao Zhang, Shengfu Xia, Jizhang Sang:
ScalableMap: Scalable Map Learning for Online Long-Range Vectorized HD Map Construction. CoRL 2023: 2429-2443 - [c35]Zizhao Zhang, Xin Wang, Chaoyu Guan, Ziwei Zhang, Haoyang Li, Wenwu Zhu:
AutoGT: Automated Graph Transformer Architecture Search. ICLR 2023 - [c34]Justin Lazarow, Kihyuk Sohn, Chen-Yu Lee, Chun-Liang Li, Zizhao Zhang, Tomas Pfister:
Unifying Distribution Alignment as a Loss for Imbalanced Semi-supervised Learning. WACV 2023: 5633-5642 - [i34]Shengju Qian, Huiwen Chang, Yuanzhen Li, Zizhao Zhang, Jiaya Jia, Han Zhang:
StraIT: Non-autoregressive Generation with Stratified Image Transformer. CoRR abs/2303.00750 (2023) - [i33]Zhuowei Li, Long Zhao, Zizhao Zhang, Han Zhang, Di Liu, Ting Liu, Dimitris N. Metaxas:
Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning. CoRR abs/2303.09447 (2023) - [i32]Jingyi Yu, Zizhao Zhang, Shengfu Xia, Jizhang Sang:
ScalableMap: Scalable Map Learning for Online Long-Range Vectorized HD Map Construction. CoRR abs/2310.13378 (2023) - 2022
- [j20]Yue Gao
Hypergraph Learning: Methods and Practices. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2548-2566 (2022) - [j19]Xin Liu, Rong-Xian Yue, Zizhao Zhang, Weng Kee Wong:
Correction: G-optimal designs for hierarchical linear models: an equivalence theorem and a nature-inspired meta-heuristic algorithm. Soft Comput. 26(17): 8947 (2022) - [j18]Shuyi Ji
Kullback-Leibler Divergence Metric Learning. IEEE Trans. Cybern. 52(4): 2047-2058 (2022) - [c33]Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister:
Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts. AAAI 2022: 1341-1349 - [c32]Zizhao Zhang, Han Zhang, Long Zhao
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding. AAAI 2022: 3417-3425 - [c31]Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister:
Learning to Prompt for Continual Learning. CVPR 2022: 139-149 - [c30]Yuliang Zou, Zizhao Zhang, Chun-Liang Li, Han Zhang, Tomas Pfister, Jia-Bin Huang:
Learning Instance-Specific Adaptation for Cross-Domain Segmentation. ECCV (33) 2022: 459-476 - [c29]Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister:
DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning. ECCV (26) 2022: 631-648 - [i31]Zizhao Zhang, Yifei Zhao, Guangda Huzhang:
Exploit Customer Life-time Value with Memoryless Experiments. CoRR abs/2201.06254 (2022) - [i30]Yuliang Zou, Zizhao Zhang, Chun-Liang Li, Han Zhang, Tomas Pfister, Jia-Bin Huang:
Learning Instance-Specific Adaptation for Cross-Domain Segmentation. CoRR abs/2203.16530 (2022) - [i29]Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister:
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning. CoRR abs/2204.04799 (2022) - [i28]Zizhao Zhang, Yifan Feng, Shihui Ying, Yue Gao:
Deep Hypergraph Structure Learning. CoRR abs/2208.12547 (2022) - [i27]Xin Yu, Qi Yang, Yinchi Zhou, Leon Y. Cai, Riqiang Gao, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Zizhao Zhang, Yuankai Huo, Bennett A. Landman, Yucheng Tang:
UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation. CoRR abs/2209.14378 (2022) - [i26]Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer G. Dy, Vincent Perot, Tomas Pfister:
QueryForm: A Simple Zero-shot Form Entity Query Framework. CoRR abs/2211.07730 (2022) - 2021
- [j17]Zizhao Zhang
Text-Guided Neural Network Training for Image Recognition in Natural Scenes and Medicine. IEEE Trans. Pattern Anal. Mach. Intell. 43(5): 1733-1745 (2021) - [j16]Xin Liu, Rong-Xian Yue, Zizhao Zhang, Weng Kee Wong:
G-optimal designs for hierarchical linear models: an equivalence theorem and a nature-inspired meta-heuristic algorithm. Soft Comput. 25(21): 13549-13565 (2021) - [j15]Xiaoshuang Shi
A Scalable Optimization Mechanism for Pairwise Based Discrete Hashing. IEEE Trans. Image Process. 30: 1130-1142 (2021) - [c28]Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang:
Improved Consistency Regularization for GANs. AAAI 2021: 11033-11041 - [c27]Zizhao Zhang, Jian Liu, Baojuan Li, Yue Gao:
Diagnosis of Childhood Autism Using Multi-modal Functional Connectivity via Dynamic Hypergraph Learning. CICAI 2021: 123-135 - [c26]Zizhao Zhang, Tomas Pfister:
Learning Fast Sample Re-weighting Without Reward Data. ICCV 2021: 705-714 - [c25]Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister:
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation. ICLR 2021 - [c24]Long Zhao, Zizhao Zhang, Ting Chen, Dimitris N. Metaxas, Han Zhang:
Improved Transformer for High-Resolution GANs. NeurIPS 2021: 18367-18380 - [i25]Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister:
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts. CoRR abs/2101.03713 (2021) - [i24]Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Tomas Pfister:
Aggregating Nested Transformers. CoRR abs/2105.12723 (2021) - [i23]Long Zhao, Zizhao Zhang, Ting Chen, Dimitris N. Metaxas, Han Zhang:
Improved Transformer for High-Resolution GANs. CoRR abs/2106.07631 (2021) - [i22]Zizhao Zhang, Tomas Pfister:
Learning Fast Sample Re-weighting Without Reward Data. CoRR abs/2109.03216 (2021) - [i21]Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister:
Learning to Prompt for Continual Learning. CoRR abs/2112.08654 (2021) - 2020
- [j14]Zizhao Zhang, Weng Kee Wong, Kay Chen Tan
Competitive swarm optimizer with mutated agents for finding optimal designs for nonlinear regression models with multiple interacting factors. Memetic Comput. 12(3): 219-233 (2020) - [j13]Yan Yan
Low-resolution facial expression recognition: A filter learning perspective. Signal Process. 169: 107370 (2020) - [c23]Xiaoshuang Shi, Fuyong Xing
Loss-Based Attention for Deep Multiple Instance Learning. AAAI 2020: 5742-5749 - [c22]Zizhao Zhang, Han Zhang, Sercan Ömer Arik, Honglak Lee, Tomas Pfister:
Distilling Effective Supervision From Severe Label Noise. CVPR 2020: 9291-9300 - [c21]Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan Ömer Arik, Larry S. Davis, Tomas Pfister:
Consistency-Based Semi-supervised Active Learning: Towards Minimizing Labeling Cost. ECCV (10) 2020: 510-526 - [c20]Chen Xing, Sercan Ömer Arik, Zizhao Zhang, Tomas Pfister:
Distance-Based Learning from Errors for Confidence Calibration. ICLR 2020 - [c19]Han Zhang, Zizhao Zhang, Augustus Odena, Honglak Lee:
Consistency Regularization for Generative Adversarial Networks. ICLR 2020 - [c18]Kihyuk Sohn, David Berthelot, Nicholas Carlini, Zizhao Zhang, Han Zhang, Colin Raffel, Ekin Dogus Cubuk, Alexey Kurakin, Chun-Liang Li:
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence. NeurIPS 2020 - [i20]Kihyuk Sohn, David Berthelot, Chun-Liang Li, Zizhao Zhang, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Han Zhang, Colin Raffel:
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence. CoRR abs/2001.07685 (2020) - [i19]Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang:
Improved Consistency Regularization for GANs. CoRR abs/2002.04724 (2020) - [i18]Kihyuk Sohn, Zizhao Zhang, Chun-Liang Li, Han Zhang, Chen-Yu Lee, Tomas Pfister:
A Simple Semi-Supervised Learning Framework for Object Detection. CoRR abs/2005.04757 (2020) - [i17]Zhengli Zhao, Zizhao Zhang, Ting Chen, Sameer Singh, Han Zhang:
Image Augmentations for GAN Training. CoRR abs/2006.02595 (2020) - [i16]Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister:
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation. CoRR abs/2010.09713 (2020)
2010 – 2019
- 2019
- [j12]Lei Cui, Jun Feng
High throughput automatic muscle image segmentation using parallel framework. BMC Bioinform. 20(1): 158:1-158:9 (2019) - [j11]Fuyong Xing
Towards pixel-to-pixel deep nucleus detection in microscopy images. BMC Bioinform. 20(1): 472:1-472:16 (2019) - [j10]Fuyong Xing, Yuanpu Xie, Xiaoshuang Shi, Pingjun Chen, Zizhao Zhang, Lin Yang:
Correction to: Towards pixel-to-pixel deep nucleus detection in microscopy images. BMC Bioinform. 20(1): 509:1 (2019) - [j9]Jinzheng Cai, Zizhao Zhang
Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network. Medical Image Anal. 52: 174-184 (2019) - [j8]Zizhao Zhang, Pingjun Chen
Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Nat. Mach. Intell. 1(5): 236-245 (2019) - [j7]Zizhao Zhang, Pingjun Chen
Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Nat. Mach. Intell. 1(6): 289 (2019) - [j6]Zizhao Zhang, Pingjun Chen
Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Nat. Mach. Intell. 1(8): 384 (2019) - [j5]Nan Wang
Exploring High-Order Correlations for Industry Anomaly Detection. IEEE Trans. Ind. Electron. 66(12): 9682-9691 (2019) - [j4]Heyuan Shi
Hypergraph-Induced Convolutional Networks for Visual Classification. IEEE Trans. Neural Networks Learn. Syst. 30(10): 2963-2972 (2019) - [c17]Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao:
Hypergraph Neural Networks. AAAI 2019: 3558-3565 - [c16]Zizhao Zhang, Adriana Romero, Matthew J. Muckley
Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition. CVPR 2019: 2049-2058 - [i15]Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal:
Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition. CoRR abs/1902.03051 (2019) - [i14]Zizhao Zhang, Han Zhang, Sercan Ömer Arik, Honglak Lee, Tomas Pfister:
IEG: Robust Neural Network Training to Tackle Severe Label Noise. CoRR abs/1910.00701 (2019) - [i13]Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan Ömer Arik, Larry S. Davis, Tomas Pfister:
Consistency-Based Semi-Supervised Active Learning: Towards Minimizing Labeling Cost. CoRR abs/1910.07153 (2019) - [i12]Han Zhang, Zizhao Zhang, Augustus Odena, Honglak Lee:
Consistency Regularization for Generative Adversarial Networks. CoRR abs/1910.12027 (2019) - [i11]Chen Xing, Sercan Ömer Arik, Zizhao Zhang, Tomas Pfister:
Distance-Based Learning from Errors for Confidence Calibration. CoRR abs/1912.01730 (2019) - 2018
- [j3]Zizhao Zhang
Revisiting graph construction for fast image segmentation. Pattern Recognit. 78: 344-357 (2018) - [j2]Hongyu Wang
Breast mass classification via deeply integrating the contextual information from multi-view data. Pattern Recognit. 80: 42-52 (2018) - [j1]Zizhao Zhang, Haojie Lin, Xibin Zhao, Rongrong Ji, Yue Gao
Inductive Multi-Hypergraph Learning and Its Application on View-Based 3D Object Classification. IEEE Trans. Image Process. 27(12): 5957-5968 (2018) - [c15]Zizhao Zhang, Yubo Zhang, Xibin Zhao, Yue Gao:
EMD Metric Learning. AAAI 2018: 4490-4497 - [c14]Yifan Feng, Zizhao Zhang, Xibin Zhao, Rongrong Ji, Yue Gao:
GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition. CVPR 2018: 264-272 - [c13]Zizhao Zhang, Yuanpu Xie, Lin Yang:
Photographic Text-to-Image Synthesis With a Hierarchically-Nested Adversarial Network. CVPR 2018: 6199-6208 - [c12]Zizhao Zhang, Lin Yang, Yefeng Zheng
Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network. CVPR 2018: 9242-9251 - [c11]Zizhao Zhang, Haojie Lin, Yue Gao:
Dynamic Hypergraph Structure Learning. IJCAI 2018: 3162-3169 - [c10]Zizhao Zhang, Haojie Lin, Junjie Zhu, Xibin Zhao, Yue Gao:
Cross Diffusion on Multi-hypergraph for Multi-modal 3D Object Recognition. PCM (1) 2018: 38-49 - [i10]Zizhao Zhang, Yuanpu Xie, Lin Yang:
Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Network. CoRR abs/1802.09178 (2018) - [i9]Zizhao Zhang, Lin Yang, Yefeng Zheng:
Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network. CoRR abs/1802.09655 (2018) - [i8]Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao:
Hypergraph Neural Networks. CoRR abs/1809.09401 (2018) - [i7]Jure Zbontar, Florian Knoll, Anuroop Sriram, Matthew J. Muckley, Mary Bruno, Aaron Defazio, Marc Parente, Krzysztof J. Geras, Joe Katsnelson, Hersh Chandarana, Zizhao Zhang, Michal Drozdzal, Adriana Romero, Michael G. Rabbat, Pascal Vincent, James Pinkerton, Duo Wang, Nafissa Yakubova, Erich Owens, C. Lawrence Zitnick, Michael P. Recht, Daniel K. Sodickson, Yvonne W. Lui:
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI. CoRR abs/1811.08839 (2018) - [i6]Xiaoshuang Shi, Fuyong Xing, Zizhao Zhang, Manish Sapkota, Zhenhua Guo, Lin Yang:
A Scalable Optimization Mechanism for Pairwise based Discrete Hashing. CoRR abs/1811.10810 (2018) - 2017
- [c9]Zizhao Zhang, Yuanpu Xie, Fuyong Xing
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network. CVPR 2017: 3549-3557 - [c8]Zizhao Zhang, Pingjun Chen
TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References. MICCAI (3) 2017: 320-328 - [i5]Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang:
Revisiting Graph Construction for Fast Image Segmentation. CoRR abs/1702.05650 (2017) - [i4]Zizhao Zhang, Yuanpu Xie, Fuyong Xing, Mason McGough, Lin Yang:
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network. CoRR abs/1707.02485 (2017) - [i3]Zizhao Zhang, Pingjun Chen, Manish Sapkota, Lin Yang:
TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References. CoRR abs/1708.03070 (2017) - [i2]Zizhao Zhang, Fuyong Xing, Hai Su, Xiaoshuang Shi, Lin Yang:
Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection. CoRR abs/1708.07281 (2017) - 2016
- [c7]Zizhao Zhang, Fuyong Xing
SemiContour: A Semi-Supervised Learning Approach for Contour Detection. CVPR 2016: 251-259 - [c6]Xiaoshuang Shi, Fuyong Xing
Kernel-Based Supervised Discrete Hashing for Image Retrieval. ECCV (7) 2016: 419-433 - [c5]Fuyong Xing
Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation. MICCAI (3) 2016: 183-190 - [c4]Yuanpu Xie, Zizhao Zhang, Manish Sapkota, Lin Yang:
Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation. MICCAI (2) 2016: 185-193 - [c3]Jinzheng Cai, Le Lu
Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks. MICCAI (2) 2016: 442-450 - [i1]Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang:
SemiContour: A Semi-supervised Learning Approach for Contour Detection. CoRR abs/1605.04996 (2016) - 2015
- [c2]Fujun Liu, Fuyong Xing
Robust Muscle Cell Quantification Using Structured Edge Detection and Hierarchical Segmentation. MICCAI (3) 2015: 324-331 - 2013
- [c1]Zizhao Zhang, Yan Yan, Hanzi Wang:
Discriminative filter based regression learning for facial expression recognition. ICIP 2013: 1192-1196
Coauthor Index
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