Zizhao Zhang - RankMe

112 papers A* 24A 2B 2Misc 2Journal 65Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CondenseGraph: Communication-Efficient Distributed GNN Training via On-the-Fly Graph Condensation. CoRR Zizhao Zhang, Yihan Xue, Haotian Zhu, Sijia Li, Zhijun Wang, Yujie Xiao
2026	J	`jnl`	Graph-structured data analysis of component failure in autonomous cargo ships based on feature fusion. Inf. Softw. Technol. Zizhao Zhang, Yu Sun, Tianxiang Zhao, Liping Sun, Jichuan Kang
2025	—	`conf`	A Deconfounded Model for Fault Diagnosis and Retrieval of Fault Texts. BDSIC Boru Lin, Zhiyuan Chen, Shichen Yang, Zizhao Zhang, Honglei Peng
2025	J	`jnl`	COMPASS: Enhancing Agent Long-Horizon Reasoning with Evolving Context. CoRR Guangya Wan, Mingyang Ling, Xiaoqi Ren, Rujun Han, Sheng Li, Zizhao Zhang
2025	J	`jnl`	Deep Researcher with Test-Time Diffusion. CoRR Rujun Han, Yanfei Chen, Zoey CuiZhu, Lesly Miculicich, Guan Sun, Yuanjun Bi, Weiming Wen, Hui Wan, Chunfeng Wen, Solène Maître, George Lee, Vishy Tirumalashetty, Emily Xue, Zizhao Zhang, Salem Haykal, Burak Gokturk, Tomas Pfister, Chen-Yu Lee
2025	J	`jnl`	Graph-Structured Data Analysis of Component Failure in Autonomous Cargo Ships Based on Feature Fusion. CoRR Zizhao Zhang, Tianxiang Zhao, Yu Sun, Liping Sun, Jichuan Kang
2025	J	`jnl`	Research on constructing and reasoning the collision knowledge graph of autonomous navigation ship based on enhanced BERT model. Expert Syst. Appl. Zizhao Zhang, Xinyue Yang, Liping Sun, Yu Sun, Jichuan Kang
2025	—	`conf`	SkillVerse : Assessing and Enhancing LLMs with Tree Evaluation. ACL (1) Yufei Tian, Jiao Sun, Nanyun Peng, Zizhao Zhang
2025	J	`jnl`	SkillVerse : Assessing and Enhancing LLMs with Tree Evaluation. CoRR Yufei Tian, Jiao Sun, Nanyun Peng, Zizhao Zhang
2025	J	`jnl`	The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input. CoRR Alon Jacovi, Andrew Wang, Chris Alberti, Connie Tao, Jon Lipovetz, Kate Olszewska, Lukas Haas, Michelle Liu, Nate Keating, Adam Bloniarz, Carl Saroufim, Corey Fry, Dror Marcus, Doron Kukliansky, Gaurav Singh Tomar, James Swirhun, Jinwei Xing, Lily Wang, Madhu Gurumurthy, Michael Aaron, Moran Ambar, Rachana Fellinger, Rui Wang, Zizhao Zhang, Sasha Goldshtein, Dipanjan Das
2024	A*	`conf`	4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs. NeurIPS Minjie Wang, Quan Gan, David Wipf, Zheng Zhang, Christos Faloutsos, Weinan Zhang, Muhan Zhang, Zhenkun Cai, Jiahang Li, Zunyao Mao, Yakun Song, Jianheng Tang, Yanlin Zhang, Guang Yang, Chuan Lei, Xiao Qin, Ning Li, Han Zhang, Yanbo Wang, Zizhao Zhang
2024	—	`conf`	4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs. VLDB Workshops 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
2024	J	`jnl`	4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs. CoRR 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
2024	—	`conf`	CodecLM: Aligning Language Models with Tailored Synthetic Data. NAACL-HLT (Findings) Zifeng Wang, Chun-Liang Li, Vincent Perot, Long T. Le, Jin Miao, Zizhao Zhang, Chen-Yu Lee, Tomas Pfister
2024	J	`jnl`	CodecLM: Aligning Language Models with Tailored Synthetic Data. CoRR Zifeng Wang, Chun-Liang Li, Vincent Perot, Long T. Le, Jin Miao, Zizhao Zhang, Chen-Yu Lee, Tomas Pfister
2024	Misc	`conf`	Large Language Model Assisted Experiment Design with Generative Human-Behavior Agents. WSC Haoyu Liu, Yifu Tang, Zizhao Zhang, Zeyu Zheng, Tingyu Zhu
2024	B	`conf`	MMPGCN: Multi-hop Message Passing Graph Convolutional Network for Knowledge Graph Completion. SMC Jian Wang, Zizhao Zhang, Qi He, You Zhou, Qi Pan
2024	—	`conf`	OpenResearcher: Unleashing AI for Accelerated Scientific Research. EMNLP (System Demonstrations) 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
2024	J	`jnl`	OpenResearcher: Unleashing AI for Accelerated Scientific Research. CoRR 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
2024	A*	`conf`	RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation. NeurIPS 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
2024	J	`jnl`	RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation. CoRR 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
2024	A	`conf`	Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning. WACV Zhuowei Li, Long Zhao, Zizhao Zhang, Han Zhang, Di Liu, Ting Liu, Dimitris N. Metaxas
2023	A*	`conf`	AutoGT: Automated Graph Transformer Architecture Search. ICLR Zizhao Zhang, Xin Wang, Chaoyu Guan, Ziwei Zhang, Haoyang Li, Wenwu Zhu
2023	J	`jnl`	Plant image recognition with deep learning: A review. Comput. Electron. Agric. Ying Chen, Yiqi Huang, Zizhao Zhang, Zhen Wang, Bo Liu, Conghui Liu, Cong Huang, Shuangyu Dong, Xuejiao Pu, Fanghao Wan, Xi Qiao, Wanqiang Qian
2023	—	`conf`	QueryForm: A Simple Zero-shot Form Entity Query Framework. ACL (Findings) Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer G. Dy, Vincent Perot, Tomas Pfister
2023	Misc	`conf`	ScalableMap: Scalable Map Learning for Online Long-Range Vectorized HD Map Construction. CoRL Jingyi Yu, Zizhao Zhang, Shengfu Xia, Jizhang Sang
2023	J	`jnl`	ScalableMap: Scalable Map Learning for Online Long-Range Vectorized HD Map Construction. CoRR Jingyi Yu, Zizhao Zhang, Shengfu Xia, Jizhang Sang
2023	J	`jnl`	Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning. CoRR Zhuowei Li, Long Zhao, Zizhao Zhang, Han Zhang, Di Liu, Ting Liu, Dimitris N. Metaxas
2023	J	`jnl`	StraIT: Non-autoregressive Generation with Stratified Image Transformer. CoRR Shengju Qian, Huiwen Chang, Yuanzhen Li, Zizhao Zhang, Jiaya Jia, Han Zhang
2023	J	`jnl`	UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation. Medical Image Anal. 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
2023	A	`conf`	Unifying Distribution Alignment as a Loss for Imbalanced Semi-supervised Learning. WACV Justin Lazarow, Kihyuk Sohn, Chen-Yu Lee, Chun-Liang Li, Zizhao Zhang, Tomas Pfister
2022	J	`jnl`	Deep Hypergraph Structure Learning. CoRR Zizhao Zhang, Yifan Feng, Shihui Ying, Yue Gao
2022	—	`conf`	DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning. ECCV (26) Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
2022	J	`jnl`	DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning. CoRR Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
2022	J	`jnl`	Exploit Customer Life-time Value with Memoryless Experiments. CoRR Zizhao Zhang, Yifei Zhao, Guangda Huzhang
2022	J	`jnl`	Hypergraph Learning: Methods and Practices. IEEE Trans. Pattern Anal. Mach. Intell. Yue Gao, Zizhao Zhang, Haojie Lin, Xibin Zhao, Shaoyi Du, Changqing Zou
2022	J	`jnl`	Kullback-Leibler Divergence Metric Learning. IEEE Trans. Cybern. Shuyi Ji, Zizhao Zhang, Shihui Ying, Liejun Wang, Xibin Zhao, Yue Gao
2022	—	`conf`	Learning Instance-Specific Adaptation for Cross-Domain Segmentation. ECCV (33) Yuliang Zou, Zizhao Zhang, Chun-Liang Li, Han Zhang, Tomas Pfister, Jia-Bin Huang
2022	J	`jnl`	Learning Instance-Specific Adaptation for Cross-Domain Segmentation. CoRR Yuliang Zou, Zizhao Zhang, Chun-Liang Li, Han Zhang, Tomas Pfister, Jia-Bin Huang
2022	A*	`conf`	Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts. AAAI Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister
2022	A*	`conf`	Learning to Prompt for Continual Learning. CVPR Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
2022	A*	`conf`	Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding. AAAI Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Sercan Ö. Arik, Tomas Pfister
2022	J	`jnl`	QueryForm: A Simple Zero-shot Form Entity Query Framework. CoRR Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer G. Dy, Vincent Perot, Tomas Pfister
2022	J	`jnl`	UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation. CoRR 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
2021	J	`jnl`	A Scalable Optimization Mechanism for Pairwise Based Discrete Hashing. IEEE Trans. Image Process. Xiaoshuang Shi, Fuyong Xing, Zizhao Zhang, Manish Sapkota, Zhenhua Guo, Lin Yang
2021	J	`jnl`	Aggregating Nested Transformers. CoRR Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Tomas Pfister
2021	—	`conf`	Diagnosis of Childhood Autism Using Multi-modal Functional Connectivity via Dynamic Hypergraph Learning. CICAI Zizhao Zhang, Jian Liu, Baojuan Li, Yue Gao
2021	A*	`conf`	Improved Consistency Regularization for GANs. AAAI Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang
2021	A*	`conf`	Improved Transformer for High-Resolution GANs. NeurIPS Long Zhao, Zizhao Zhang, Ting Chen, Dimitris N. Metaxas, Han Zhang
2021	J	`jnl`	Improved Transformer for High-Resolution GANs. CoRR Long Zhao, Zizhao Zhang, Ting Chen, Dimitris N. Metaxas, Han Zhang
2021	A*	`conf`	Learning Fast Sample Re-weighting Without Reward Data. ICCV Zizhao Zhang, Tomas Pfister
2021	J	`jnl`	Learning Fast Sample Re-weighting Without Reward Data. CoRR Zizhao Zhang, Tomas Pfister
2021	J	`jnl`	Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts. CoRR Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister
2021	J	`jnl`	Learning to Prompt for Continual Learning. CoRR Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
2021	A*	`conf`	PseudoSeg: Designing Pseudo Labels for Semantic Segmentation. ICLR Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister
2021	J	`jnl`	Text-Guided Neural Network Training for Image Recognition in Natural Scenes and Medicine. IEEE Trans. Pattern Anal. Mach. Intell. Zizhao Zhang, Pingjun Chen, Xiaoshuang Shi, Lin Yang
2020	J	`jnl`	A Simple Semi-Supervised Learning Framework for Object Detection. CoRR Kihyuk Sohn, Zizhao Zhang, Chun-Liang Li, Han Zhang, Chen-Yu Lee, Tomas Pfister
2020	A*	`conf`	Consistency Regularization for Generative Adversarial Networks. ICLR Han Zhang, Zizhao Zhang, Augustus Odena, Honglak Lee
2020	—	`conf`	Consistency-Based Semi-supervised Active Learning: Towards Minimizing Labeling Cost. ECCV (10) Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan Ömer Arik, Larry S. Davis, Tomas Pfister
2020	A*	`conf`	Distance-Based Learning from Errors for Confidence Calibration. ICLR Chen Xing, Sercan Ömer Arik, Zizhao Zhang, Tomas Pfister
2020	A*	`conf`	Distilling Effective Supervision From Severe Label Noise. CVPR Zizhao Zhang, Han Zhang, Sercan Ömer Arik, Honglak Lee, Tomas Pfister
2020	A*	`conf`	FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence. NeurIPS Kihyuk Sohn, David Berthelot, Nicholas Carlini, Zizhao Zhang, Han Zhang, Colin Raffel, Ekin Dogus Cubuk, Alexey Kurakin, Chun-Liang Li
2020	J	`jnl`	FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence. CoRR Kihyuk Sohn, David Berthelot, Chun-Liang Li, Zizhao Zhang, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Han Zhang, Colin Raffel
2020	J	`jnl`	Image Augmentations for GAN Training. CoRR Zhengli Zhao, Zizhao Zhang, Ting Chen, Sameer Singh, Han Zhang
2020	J	`jnl`	Improved Consistency Regularization for GANs. CoRR Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang
2020	A*	`conf`	Loss-Based Attention for Deep Multiple Instance Learning. AAAI Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Zizhao Zhang, Lei Cui, Lin Yang
2020	J	`jnl`	Low-resolution facial expression recognition: A filter learning perspective. Signal Process. Yan Yan, Zizhao Zhang, Si Chen, Hanzi Wang
2020	J	`jnl`	PseudoSeg: Designing Pseudo Labels for Semantic Segmentation. CoRR Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister
2019	J	`jnl`	Consistency Regularization for Generative Adversarial Networks. CoRR Han Zhang, Zizhao Zhang, Augustus Odena, Honglak Lee
2019	J	`jnl`	Consistency-Based Semi-Supervised Active Learning: Towards Minimizing Labeling Cost. CoRR Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan Ömer Arik, Larry S. Davis, Tomas Pfister
2019	J	`jnl`	Correction to: Towards pixel-to-pixel deep nucleus detection in microscopy images. BMC Bioinform. Fuyong Xing, Yuanpu Xie, Xiaoshuang Shi, Pingjun Chen, Zizhao Zhang, Lin Yang
2019	J	`jnl`	Distance-Based Learning from Errors for Confidence Calibration. CoRR Chen Xing, Sercan Ömer Arik, Zizhao Zhang, Tomas Pfister
2019	J	`jnl`	Exploring High-Order Correlations for Industry Anomaly Detection. IEEE Trans. Ind. Electron. Nan Wang, Zizhao Zhang, Xibin Zhao, Quan Miao, Rongrong Ji, Yue Gao
2019	J	`jnl`	High throughput automatic muscle image segmentation using parallel framework. BMC Bioinform. Lei Cui, Jun Feng, Zizhao Zhang, Lin Yang
2019	A*	`conf`	Hypergraph Neural Networks. AAAI Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao
2019	J	`jnl`	Hypergraph-Induced Convolutional Networks for Visual Classification. IEEE Trans. Neural Networks Learn. Syst. Heyuan Shi, Yubo Zhang, Zizhao Zhang, Nan Ma, Xibin Zhao, Yue Gao, Jiaguang Sun
2019	J	`jnl`	IEG: Robust Neural Network Training to Tackle Severe Label Noise. CoRR Zizhao Zhang, Han Zhang, Sercan Ömer Arik, Honglak Lee, Tomas Pfister
2019	J	`jnl`	Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Nat. Mach. Intell. Zizhao Zhang, Pingjun Chen, Mason McGough, Fuyong Xing, Chunbao Wang, Marilyn Bui, Yuanpu Xie, Manish Sapkota, Lei Cui, Jaspreet Singh Dhillon, Nazeel Ahmad, Farah K. Khalil, Shohreh I. Dickinson, Xiaoshuang Shi, Fujun Liu, Hai Su, Jinzheng Cai, Lin Yang
2019	J	`jnl`	Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Nat. Mach. Intell. Zizhao Zhang, Pingjun Chen, Mason McGough, Fuyong Xing, Chunbao Wang, Marilyn Bui, Yuanpu Xie, Manish Sapkota, Lei Cui, Jasreman Dhillon, Nazeel Ahmad, Farah K. Khalil, Shohreh I. Dickinson, Xiaoshuang Shi, Fujun Liu, Hai Su, Jinzheng Cai, Lin Yang
2019	J	`jnl`	Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Nat. Mach. Intell. Zizhao Zhang, Pingjun Chen, Mason McGough, Fuyong Xing, Chunbao Wang, Marilyn Bui, Yuanpu Xie, Manish Sapkota, Lei Cui, Jasreman Dhillon, Nazeel Ahmad, Farah K. Khalil, Shohreh I. Dickinson, Xiaoshuang Shi, Fujun Liu, Hai Su, Jinzheng Cai, Lin Yang
2019	A*	`conf`	Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition. CVPR Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal
2019	J	`jnl`	Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition. CoRR Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal
2019	J	`jnl`	Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network. Medical Image Anal. Jinzheng Cai, Zizhao Zhang, Lei Cui, Yefeng Zheng, Lin Yang
2019	J	`jnl`	Towards pixel-to-pixel deep nucleus detection in microscopy images. BMC Bioinform. Fuyong Xing, Yuanpu Xie, Xiaoshuang Shi, Pingjun Chen, Zizhao Zhang, Lin Yang
2018	J	`jnl`	A Scalable Optimization Mechanism for Pairwise based Discrete Hashing. CoRR Xiaoshuang Shi, Fuyong Xing, Zizhao Zhang, Manish Sapkota, Zhenhua Guo, Lin Yang
2018	J	`jnl`	Breast mass classification via deeply integrating the contextual information from multi-view data. Pattern Recognit. Hongyu Wang, Jun Feng, Zizhao Zhang, Hai Su, Lei Cui, Hua He, Li Liu
2018	—	`conf`	Cross Diffusion on Multi-hypergraph for Multi-modal 3D Object Recognition. PCM (1) Zizhao Zhang, Haojie Lin, Junjie Zhu, Xibin Zhao, Yue Gao
2018	A*	`conf`	Dynamic Hypergraph Structure Learning. IJCAI Zizhao Zhang, Haojie Lin, Yue Gao
2018	A*	`conf`	EMD Metric Learning. AAAI Zizhao Zhang, Yubo Zhang, Xibin Zhao, Yue Gao
2018	A*	`conf`	GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition. CVPR Yifan Feng, Zizhao Zhang, Xibin Zhao, Rongrong Ji, Yue Gao
2018	J	`jnl`	Hypergraph Neural Networks. CoRR Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao
2018	J	`jnl`	Inductive Multi-Hypergraph Learning and Its Application on View-Based 3D Object Classification. IEEE Trans. Image Process. Zizhao Zhang, Haojie Lin, Xibin Zhao, Rongrong Ji, Yue Gao
2018	A*	`conf`	Photographic Text-to-Image Synthesis With a Hierarchically-Nested Adversarial Network. CVPR Zizhao Zhang, Yuanpu Xie, Lin Yang
2018	J	`jnl`	Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Network. CoRR Zizhao Zhang, Yuanpu Xie, Lin Yang
2018	J	`jnl`	Revisiting graph construction for fast image segmentation. Pattern Recognit. Zizhao Zhang, Fuyong Xing, Hanzi Wang, Yan Yan, Ying Huang, Xiaoshuang Shi, Lin Yang
2018	A*	`conf`	Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network. CVPR Zizhao Zhang, Lin Yang, Yefeng Zheng
2018	J	`jnl`	Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network. CoRR Zizhao Zhang, Lin Yang, Yefeng Zheng
2018	J	`jnl`	fastMRI: An Open Dataset and Benchmarks for Accelerated MRI. CoRR 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
2017	A*	`conf`	MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network. CVPR Zizhao Zhang, Yuanpu Xie, Fuyong Xing, Mason McGough, Lin Yang
2017	J	`jnl`	MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network. CoRR Zizhao Zhang, Yuanpu Xie, Fuyong Xing, Mason McGough, Lin Yang
2017	J	`jnl`	Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection. CoRR Zizhao Zhang, Fuyong Xing, Hai Su, Xiaoshuang Shi, Lin Yang
2017	J	`jnl`	Revisiting Graph Construction for Fast Image Segmentation. CoRR Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang
2017	—	`conf`	TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References. MICCAI (3) Zizhao Zhang, Pingjun Chen, Manish Sapkota, Lin Yang
2017	J	`jnl`	TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References. CoRR Zizhao Zhang, Pingjun Chen, Manish Sapkota, Lin Yang
2016	—	`conf`	Kernel-Based Supervised Discrete Hashing for Image Retrieval. ECCV (7) Xiaoshuang Shi, Fuyong Xing, Jinzheng Cai, Zizhao Zhang, Yuanpu Xie, Lin Yang
2016	—	`conf`	Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks. MICCAI (2) Jinzheng Cai, Le Lu, Zizhao Zhang, Fuyong Xing, Lin Yang, Qian Yin
2016	A*	`conf`	SemiContour: A Semi-Supervised Learning Approach for Contour Detection. CVPR Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang
2016	J	`jnl`	SemiContour: A Semi-supervised Learning Approach for Contour Detection. CoRR Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang
2016	—	`conf`	Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation. MICCAI (2) Yuanpu Xie, Zizhao Zhang, Manish Sapkota, Lin Yang
2016	—	`conf`	Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation. MICCAI (3) Fuyong Xing, Xiaoshuang Shi, Zizhao Zhang, Jinzheng Cai, Yuanpu Xie, Lin Yang
2015	—	`conf`	Robust Muscle Cell Quantification Using Structured Edge Detection and Hierarchical Segmentation. MICCAI (3) Fujun Liu, Fuyong Xing, Zizhao Zhang, Mason McGough, Lin Yang
2013	B	`conf`	Discriminative filter based regression learning for facial expression recognition. ICIP Zizhao Zhang, Yan Yan, Hanzi Wang