Zeju Li - RankMe

80 papers A* 3A 1B 1Journal 55Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AGILE: Hand-Object Interaction Reconstruction from Video via Agentic Generation. CoRR Jin-Chuan Shi, Binhong Ye, Tao Liu, Junzhe He, Yangjinhui Xu, Xiaoyang Liu, Zeju Li, Hao Chen, Chunhua Shen
2026	J	`jnl`	ColoDiff: Integrating Dynamic Consistency With Content Awareness for Colonoscopy Video Generation. CoRR Junhu Fu, Shuyu Liang, Wutong Li, Chen Ma, Peng Huang, Kehao Wang, Ke Chen, Shengli Lin, Pinghong Zhou, Zeju Li, Yuanyuan Wang, Yi Guo
2026	J	`jnl`	Latent Context Compilation: Distilling Long Context into Compact Portable Memory. CoRR Zeju Li, Yizhou Zhou, Qiang Xu
2026	A*	`conf`	ODYSSEY: Open-World Quadrupeds Exploration and Manipulation for Long-Horizon Tasks. AAAI Kaijun Wang, Liqin Lu, Mingyu Liu, Jianuo Jiang, Zeju Li, Bolin Zhang, Wancai Zheng, Xinyi Yu, Hao Chen, Chunhua Shen
2026	J	`jnl`	Temporally coherent self-supervised apical trajectory learning for apical rocking classification in echocardiographic videos. Biomed. Signal Process. Control. Mingshan Li, Fangyan Tian, Qin Wang, Zeju Li, Xianhong Shu, Yi Guo, Yuanyuan Wang
2025	J	`jnl`	Argus: Leveraging Multiview Images for Improved 3-D Scene Understanding With Large Language Models. CoRR Yifan Xu, Chao Zhang, Hanqi Jiang, Xiaoyan Wang, Ruifei Ma, Yiwei Li, Zihao Wu, Zeju Li, Xiangde Liu
2025	J	`jnl`	Argus: Leveraging Multiview Images for Improved 3-D Scene Understanding With Large Language Models. IEEE Trans. Neural Networks Learn. Syst. Yifan Xu, Chao Zhang, Hanqi Jiang, Xiaoyan Wang, Ruifei Ma, Yiwei Li, Zihao Wu, Zeju Li, Xiangde Liu
2025	J	`jnl`	Compressing Chain-of-Thought in LLMs via Step Entropy. CoRR Zeju Li, Jianyuan Zhong, Ziyang Zheng, Xiangyu Wen, Zhijian Xu, Yingying Cheng, Fan Zhang, Qiang Xu
2025	J	`jnl`	DeepCircuitX: A Comprehensive Repository-Level Dataset for RTL Code Understanding, Generation, and PPA Analysis. CoRR Zeju Li, Changran Xu, Zhengyuan Shi, Zedong Peng, Yi Liu, Yunhao Zhou, Lingfeng Zhou, Chengyu Ma, Jianyuan Zhong, Xi Wang, Jieru Zhao, Zhufei Chu, Xiaoyan Yang, Qiang Xu
2025	A*	`conf`	DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model. ICLR Yi Liu, Changran Xu, Yunhao Zhou, Zeju Li, Qiang Xu
2025	J	`jnl`	DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model. CoRR Yi Liu, Changran Xu, Yunhao Zhou, Zeju Li, Qiang Xu
2025	A*	`conf`	Dyve: Thinking Fast and Slow for Dynamic Process Verification. EMNLP Jianyuan Zhong, Zeju Li, Zhijian Xu, Xiangyu Wen, Qiang Xu
2025	J	`jnl`	Dyve: Thinking Fast and Slow for Dynamic Process Verification. CoRR Jianyuan Zhong, Zeju Li, Zhijian Xu, Xiangyu Wen, Qiang Xu
2025	J	`jnl`	ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA. CoRR Zhengyuan Shi, Zeju Li, Chengyu Ma, Yunhao Zhou, Ziyang Zheng, Jiawei Liu, Hongyang Pan, Lingfeng Zhou, Kezhi Li, Jiaying Zhu, Lingwei Yan, Zhiqiang He, Chenhao Xue, Wentao Jiang, Fan Yang, Guangyu Sun, Xiaoyan Yang, Gang Chen, Chuan Shi, Zhufei Chu, Jun Yang, Qiang Xu
2025	J	`jnl`	ForgeHLS: A Large-Scale, Open-Source Dataset for High-Level Synthesis. CoRR Zedong Peng, Zeju Li, Mingzhe Gao, Qiang Xu, Chen Zhang, Jieru Zhao
2025	J	`jnl`	From Craft to Constitution: A Governance-First Paradigm for Principled Agent Engineering. CoRR Qiang Xu, Xiangyu Wen, Changran Xu, Zeju Li, Jianyuan Zhong
2025	J	`jnl`	ODYSSEY: Open-World Quadrupeds Exploration and Manipulation for Long-Horizon Tasks. CoRR Kaijun Wang, Liqin Lu, Mingyu Liu, Jianuo Jiang, Zeju Li, Bolin Zhang, Wancai Zheng, Xinyi Yu, Hao Chen, Chunhua Shen
2025	J	`jnl`	Reasoning Scaffolding: Distilling the Flow of Thought from LLMs. CoRR Xiangyu Wen, Junhua Huang, Zeju Li, Min Li, Jianyuan Zhong, Zhijian Xu, Mingxuan Yuan, Yongxiang Huang, Qiang Xu
2025	J	`jnl`	Solve-Detect-Verify: Inference-Time Scaling with Flexible Generative Verifier. CoRR Jianyuan Zhong, Zeju Li, Zhijian Xu, Xiangyu Wen, Kezhi Li, Qiang Xu
2025	A	`conf`	Spatial 3D-LLM : Exploring Spatial Awareness in 3D Vision-Language Models. ICME Xiaoyan Wang, Zeju Li, Yifan Xu, Jiaxing Qi, Zhifei Yang, Ruifei Ma, Xiangde Liu, Chao Zhang
2025	J	`jnl`	Spatial 3D-LLM: Exploring Spatial Awareness in 3D Vision-Language Models. CoRR Xiaoyan Wang, Zeju Li, Yifan Xu, Jiaxing Qi, Zhifei Yang, Ruifei Ma, Xiangde Liu, Chao Zhang
2025	J	`jnl`	StaMo: Unsupervised Learning of Generalizable Robot Motion from Compact State Representation. CoRR Mingyu Liu, Jiuhe Shu, Hui Chen, Zeju Li, Canyu Zhao, Jiange Yang, Shenyuan Gao, Hao Chen, Chunhua Shen
2025	—	`conf`	ThinkAnswer Loss: Balancing Semantic Similarity and Exact Matching for LLM Reasoning Enhancement. EMNLP (Findings) Shan Yang, Kun Wu, Zeju Li, Linlin Zhang, Xiangyu Pei, Leike An, Yu Liu
2025	—	`conf`	VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generation. MICCAI (11) Peng Huang, Junhu Fu, Bowen Guo, Zeju Li, Yuanyuan Wang, Yi Guo
2025	J	`jnl`	VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generation. CoRR Peng Huang, Junhu Fu, Bowen Guo, Zeju Li, Yuanyuan Wang, Yi Guo
2024	—	`conf`	3DMIT: 3D Multi-Modal Instruction Tuning for Scene Understanding. ICME Workshops Zeju Li, Chao Zhang, Xiaoyan Wang, Ruilong Ren, Yifan Xu, Ruifei Ma, Xiangde Liu, Rong Wei
2024	J	`jnl`	3DMIT: 3D Multi-modal Instruction Tuning for Scene Understanding. CoRR Zeju Li, Chao Zhang, Xiaoyan Wang, Ruilong Ren, Yifan Xu, Ruifei Ma, Xiangde Liu
2024	J	`jnl`	Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation. ACM Trans. Intell. Syst. Technol. Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Quyang Pan, Junbo Zhang, Zeju Li, Qingxiang Liu
2024	—	`conf`	FedFDD: Federated Learning with Frequency Domain Decomposition for Low-Dose CT Denoising. MIDL Xuhang Chen, Zeju Li, Zikun Xu, Kaijie Xu, Cheng Ouyang, Chen Qin
2024	J	`jnl`	Layer-Sensitive Neural Processing Architecture for Error-Tolerant Applications. IEEE Trans. Very Large Scale Integr. Syst. Zeju Li, Qinfan Wang, Zihan Zou, Qiao Shen, Na Xie, Hao Cai, Hao Zhang, Bo Liu
2024	J	`jnl`	Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learning. CoRR Zeju Li, Ying-Qiu Zheng, Chen Chen, Saâd Jbabdi
2023	—	`conf`	Boosting Physical Layer Black-Box Attacks with Semantic Adversaries in Semantic Communications. ICC Zeju Li, Xinghan Liu, Guoshun Nan, Jinfei Zhou, Xinchen Lyu, Qimei Cui, Xiaofeng Tao
2023	J	`jnl`	Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation. IEEE Trans. Medical Imaging Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert
2023	J	`jnl`	Context Label Learning: Improving Background Class Representations in Semantic Segmentation. IEEE Trans. Medical Imaging Zeju Li, Konstantinos Kamnitsas, Cheng Ouyang, Chen Chen, Ben Glocker
2023	J	`jnl`	Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation. CoRR Zeju Li, Konstantinos Kamnitsas, Qi Dou, Chen Qin, Ben Glocker
2023	J	`jnl`	Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation. IEEE Trans. Medical Imaging Zeju Li, Konstantinos Kamnitsas, Qi Dou, Chen Qin, Ben Glocker
2023	J	`jnl`	Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
2023	B	`conf`	Multi-Source Education Knowledge Graph Construction and Fusion for College Curricula. ICALT Zeju Li, Linya Cheng, Chunhong Zhang, Xinning Zhu, Hui Zhao
2023	J	`jnl`	Multi-source Education Knowledge Graph Construction and Fusion for College Curricula. CoRR Zeju Li, Linya Cheng, Chunhong Zhang, Xinning Zhu, Hui Zhao
2023	—	`conf`	Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment. MLMI@MICCAI (2) Felix Wagner, Zeju Li, Pramit Saha, Konstantinos Kamnitsas
2023	J	`jnl`	Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment. CoRR Felix Wagner, Zeju Li, Pramit Saha, Konstantinos Kamnitsas
2023	—	`conf`	Robust Segmentation via Topology Violation Detection and Feature Synthesis. MICCAI (4) Liu Li, Qiang Ma, Cheng Ouyang, Zeju Li, Qingjie Meng, Weitong Zhang, Mengyun Qiao, Vanessa Kyriakopoulou, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz
2023	—	`conf`	Robustness Stress Testing in Medical Image Classification. UNSURE@MICCAI Mobarakol Islam, Zeju Li, Ben Glocker
2023	J	`jnl`	Robustness Stress Testing in Medical Image Classification. CoRR Mobarakol Islam, Zeju Li, Ben Glocker
2023	J	`jnl`	SemProtector: A Unified Framework for Semantic Protection in Deep Learning-based Semantic Communication Systems. IEEE Commun. Mag. Xinghan Liu, Guoshun Nan, Qimei Cui, Zeju Li, Peiyuan Liu, Zebin Xing, Hanqing Mu, Xiaofeng Tao, Tony Q. S. Quek
2023	J	`jnl`	SemProtector: A Unified Framework for Semantic Protection in Deep Learning-based Semantic Communication Systems. CoRR Xinghan Liu, Guoshun Nan, Qimei Cui, Zeju Li, Peiyuan Liu, Zebin Xing, Hanqing Mu, Xiaofeng Tao, Tony Q. S. Quek
2023	J	`jnl`	W-AMA: Weight-aware Approximate Multiplication Architecture for neural processing. Comput. Electr. Eng. Bo Liu, Renyuan Zhang, Qiao Shen, Zeju Li, Na Xie, Yuanhao Wang, Chonghang Xie, Hao Cai
2022	J	`jnl`	Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine Qi Dou, Tiffany Y. So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather H. C. Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng
2022	J	`jnl`	Breast Tumor Classification Based on MRI-US Images by Disentangling Modality Features. IEEE J. Biomed. Health Informatics Mengyun Qiao, Chencheng Liu, Zeju Li, Jin Zhou, Qin Xiao, Shichong Zhou, Cai Chang, Yajia Gu, Yi Guo, Yuanyuan Wang
2022	J	`jnl`	Context Label Learning: Improving Background Class Representations in Semantic Segmentation. CoRR Zeju Li, Konstantinos Kamnitsas, Cheng Ouyang, Chen Chen, Ben Glocker
2022	J	`jnl`	Enhancing MR image segmentation with realistic adversarial data augmentation. Medical Image Anal. Chen Chen, Chen Qin, Cheng Ouyang, Zeju Li, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
2022	—	`conf`	Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores. MICCAI (8) Zeju Li, Konstantinos Kamnitsas, Mobarakol Islam, Chen Chen, Ben Glocker
2022	J	`jnl`	Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores. CoRR Zeju Li, Konstantinos Kamnitsas, Mobarakol Islam, Chen Chen, Ben Glocker
2022	—	`conf`	Fetal Cortex Segmentation with Topology and Thickness Loss Constraints. EPIMI/ML-CDS@MICCAI Liu Li, Qiang Ma, Zeju Li, Cheng Ouyang, Weitong Zhang, Anthony Price, Vanessa Kyriakopoulou, Lucilio Cordero-Grande, Antonios Makropoulos, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz, Amir Alansary
2022	—	`conf`	Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation. UNSURE@MICCAI Cheng Ouyang, Shuo Wang, Chen Chen, Zeju Li, Wenjia Bai, Bernhard Kainz, Daniel Rueckert
2022	J	`jnl`	Improved post-hoc probability calibration for out-of-domain MRI segmentation. CoRR Cheng Ouyang, Shuo Wang, Chen Chen, Zeju Li, Wenjia Bai, Bernhard Kainz, Daniel Rueckert
2022	—	`conf`	MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation. MICCAI (5) Chen Chen, Zeju Li, Cheng Ouyang, Matthew Sinclair, Wenjia Bai, Daniel Rueckert
2022	J	`jnl`	MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation. CoRR Chen Chen, Zeju Li, Cheng Ouyang, Matthew Sinclair, Wenjia Bai, Daniel Rueckert
2022	—	`conf`	SemBAT: Physical Layer Black-box Adversarial Attacks for Deep Learning-based Semantic Communication Systems. VTC Fall Zeju Li, Jinfei Zhou, Guoshun Nan, Zhichun Li, Qimei Cui, Xiaofeng Tao
2022	—	`conf`	Tackling Long-Tailed Category Distribution Under Domain Shifts. ECCV (23) Xiao Gu, Yao Guo, Zeju Li, Jianing Qiu, Qi Dou, Yuxuan Liu, Benny Lo, Guang-Zhong Yang
2022	J	`jnl`	Tackling Long-Tailed Category Distribution Under Domain Shifts. CoRR Xiao Gu, Yao Guo, Zeju Li, Jianing Qiu, Qi Dou, Yuxuan Liu, Benny Lo, Guang-Zhong Yang
2021	J	`jnl`	Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation. IEEE Trans. Medical Imaging Zeju Li, Konstantinos Kamnitsas, Ben Glocker
2021	J	`jnl`	Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation. CoRR Zeju Li, Konstantinos Kamnitsas, Ben Glocker
2021	J	`jnl`	Causality-inspired Single-source Domain Generalization for Medical Image Segmentation. CoRR Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert
2021	J	`jnl`	DeepVolume: Brain Structure and Spatial Connection-Aware Network for Brain MRI Super-Resolution. IEEE Trans. Cybern. Zeju Li, Jinhua Yu, Yuanyuan Wang, Hanzhang Zhou, Haowei Yang, Zhongwei Qiao
2021	J	`jnl`	Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine Qi Dou, Tiffany Y. So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather H. C. Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng
2021	J	`jnl`	Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
2020	J	`jnl`	High-Resolution Chest X-Ray Bone Suppression Using Unpaired CT Structural Priors. IEEE Trans. Medical Imaging Han Li, Hu Han, Zeju Li, Lei Wang, Zhe Wu, Jingjing Lu, S. Kevin Zhou
2019	J	`jnl`	Deep Generative Adversarial Networks for Thin-Section Infant MR Image Reconstruction. IEEE Access Jiaqi Gu, Zeju Li, Yuanyuan Wang, Haowei Yang, Zhongwei Qiao, Jinhua Yu
2019	J	`jnl`	Early identification of ischemic stroke in noncontrast computed tomography. Biomed. Signal Process. Control. Guoqing Wu, Jixian Lin, Xi Chen, Zeju Li, Yuanyuan Wang, Jing Zhao, Jinhua Yu
2019	—	`conf`	Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition. MICCAI (6) Zeju Li, Han Li, Hu Han, Gonglei Shi, Jiannan Wang, Shaohua Kevin Zhou
2019	J	`jnl`	Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition. CoRR Zeju Li, Han Li, Hu Han, Gonglei Shi, Jiannan Wang, Shaohua Kevin Zhou
2019	—	`conf`	Overfitting of Neural Nets Under Class Imbalance: Analysis and Improvements for Segmentation. MICCAI (3) Zeju Li, Konstantinos Kamnitsas, Ben Glocker
2019	J	`jnl`	Overfitting of neural nets under class imbalance: Analysis and improvements for segmentation. CoRR Zeju Li, Konstantinos Kamnitsas, Ben Glocker
2019	J	`jnl`	Super-Resolution Reconstruction of Plane-Wave Ultrasound Image Based on a Multi-Angle Parallel U-Net with Maxout Unit and Novel Loss Function. J. Medical Imaging Health Informatics Zixia Zhou, Yuanyuan Wang, Jinhua Yu, Wei Guo, Zeju Li
2018	—	`conf`	A Multi-Scope Convolutional Neural Network for Automatic Left Ventricle Segmentation from Magnetic Resonance Images: Deep-Learning at Multiple Scopes. CISP-BMEI Xinyi Li, Yuanyuan Wang, Wenjun Yan, Rob J. van der Geest, Zeju Li, Qian Tao
2018	—	`conf`	Left Ventricle Segmentation via Optical-Flow-Net from Short-Axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion. MICCAI (4) Wenjun Yan, Yuanyuan Wang, Zeju Li, Rob J. van der Geest, Qian Tao
2018	J	`jnl`	Left Ventricle Segmentation via Optical-Flow-Net from Short-axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion. CoRR Wenjun Yan, Yuanyuan Wang, Zeju Li, Rob J. van der Geest, Qian Tao
2017	—	`conf`	Brain Tumor Segmentation Using an Adversarial Network. BrainLes@MICCAI Zeju Li, Yuanyuan Wang, Jinhua Yu
2017	—	`conf`	Reconstruction of Thin-Slice Medical Images Using Generative Adversarial Network. MLMI@MICCAI Zeju Li, Yuanyuan Wang, Jinhua Yu