Wang, Zhe

113 publications

ECML-PKDD 2025 Alternate Geometric and Semantic Denoising Diffusion for Protein Inverse Folding Chenglin Wang, Yucheng Zhou, Zhe Wang, Zijie Zhai, Jianbing Shen, Kai Zhang

NeurIPS 2025 Defining and Discovering Hyper-Meta-Paths for Heterogeneous Hypergraphs Yaming Yang, Ziyu Zheng, Weigang Lu, Zhe Wang, Xinyan Huang, Wei Zhao, Ziyu Guan

AAAI 2025 Enhancing NLU in Large Language Models Using Adversarial Noisy Instruction Tuning Shengyuan Bai, Qibin Li, Zhe Wang, Nai Zhou, Nianmin Yao

ICCV 2025 FreeCus: Free Lunch Subject-Driven Customization in Diffusion Transformers Yanbing Zhang, Zhe Wang, Qin Zhou, Mengping Yang

ICCV 2025 Learnable Retrieval Enhanced Visual-Text Alignment and Fusion for Radiology Report Generation Qin Zhou, Guoyan Liang, Xindi Li, Jingyuan Chen, Zhe Wang, Chang Yao, Sai Wu

ICML 2025 Learning-Order Autoregressive Models with Application to Molecular Graph Generation Zhe Wang, Jiaxin Shi, Nicolas Heess, Arthur Gretton, Michalis Titsias

ICCV 2025 MamV2XCalib: V2X-Based Target-Less Infrastructure Camera Calibration with State Space Model Yaoye Zhu, Zhe Wang, Yan Wang

AAAI 2025 PScalpel: A Machine Learning-Based Guider for Protein Phase-Separating Behaviour Alteration Jia Wang, Liyan Zhu, Zhe Wang, Chenqiu Zhang, Yaoxing Wu, Jun Cui, Jianqiang Li

NeurIPS 2025 PurpCode: Reasoning for Safer Code Generation Jiawei Liu, Nirav Diwan, Zhe Wang, Haoyu Zhai, Xiaona Zhou, Kiet A. Nguyen, Tianjiao Yu, Muntasir Wahed, Yinlin Deng, Hadjer Benkraouda, Yuxiang Wei, Lingming Zhang, Ismini Lourentzou, Gang Wang

AAAI 2025 Radiology Report Generation via Multi-Objective Preference Optimization Ting Xiao, Lei Shi, Peng Liu, Zhe Wang, Chenjia Bai

AAAI 2025 Rule-Guided Graph Neural Networks for Explainable Knowledge Graph Reasoning Zhe Wang, Suxue Ma, Kewen Wang, Zhiqiang Zhuang

AAAI 2025 Semantic-Guided Masked Mutual Learning for Multi-Modal Brain Tumor Segmentation with Arbitrary Missing Modalities Guoyan Liang, Qin Zhou, Zhe Wang, Jingyuan Chen, Lin Gu, Chang Yao, Sai Wu, Bingcang Huang, Kai Chen

CVPR 2025 TacoDepth: Towards Efficient Radar-Camera Depth Estimation with One-Stage Fusion Yiran Wang, Jiaqi Li, Chaoyi Hong, Ruibo Li, Liusheng Sun, Xiao Song, Zhe Wang, Zhiguo Cao, Guosheng Lin

IJCAI 2025 Wave-Wise Discriminative Tracking by Phase-Amplitude Separation, Augmentation and Mixture Huibin Tan, Mingyu Cao, Kun Hu, Xihuai He, Zhe Wang, Hao Li, Long Lan, Mengzhu Wang

ICLRW 2024 A Closer Look at Adversarial Suffix Learning for Jailbreaking LLMs Zhe Wang, Yanjun Qi

AAAI 2024 AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction Qi Liu, Xuyang Hou, Defu Lian, Zhe Wang, Haoran Jin, Jia Cheng, Jun Lei

IJCAI 2024 Advancing Medical Image Segmentation via Self-Supervised Instance-Adaptive Prototype Learning Guoyan Liang, Qin Zhou, Jingyuan Chen, Zhe Wang, Chang Yao

CVPR 2024 Attention Calibration for Disentangled Text-to-Image Personalization Yanbing Zhang, Mengping Yang, Qin Zhou, Zhe Wang

AAAI 2024 Cross-Modal Feature Distribution Calibration for Few-Shot Visual Question Answering Jing Zhang, Xiaoqiang Liu, Mingzhe Chen, Zhe Wang

ICLR 2024 Idempotence and Perceptual Image Compression Tongda Xu, Ziran Zhu, Dailan He, Yanghao Li, Lina Guo, Yuanyuan Wang, Zhe Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang

ECCV 2024 LPViT: Low-Power Semi-Structured Pruning for Vision Transformers Kaixin Xu, Zhe Wang, Chunyun Chen, Xue Geng, Jie Lin, Xulei Yang, Min Wu, Xiaoli Li, Weisi Lin

CVPR 2024 MPOD123: One Image to 3D Content Generation Using Mask-Enhanced Progressive Outline-to-Detail Optimization Jimin Xu, Tianbao Wang, Tao Jin, Shengyu Zhang, Dongjie Fu, Zhe Wang, Jiangjing Lyu, Chengfei Lv, Chaoyue Niu, Zhou Yu, Zhou Zhao, Fei Wu

ICML 2024 Magicoder: Empowering Code Generation with OSS-Instruct Yuxiang Wei, Zhe Wang, Jiawei Liu, Yifeng Ding, Lingming Zhang

CVPR 2024 RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding Jihan Yang, Runyu Ding, Weipeng Deng, Zhe Wang, Xiaojuan Qi

CVPR 2024 S-DyRF: Reference-Based Stylized Radiance Fields for Dynamic Scenes Xingyi Li, Zhiguo Cao, Yizheng Wu, Kewei Wang, Ke Xian, Zhe Wang, Guosheng Lin

CVPR 2024 Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations Kewei Wang, Yizheng Wu, Jun Cen, Zhiyu Pan, Xingyi Li, Zhe Wang, Zhiguo Cao, Guosheng Lin

AAAI 2024 Semi-Supervised Class-Agnostic Motion Prediction with Pseudo Label Regeneration and BEVMix Kewei Wang, Yizheng Wu, Zhiyu Pan, Xingyi Li, Ke Xian, Zhe Wang, Zhiguo Cao, Guosheng Lin

NeurIPS 2024 Simplified and Generalized Masked Diffusion for Discrete Data Jiaxin Shi, Kehang Han, Zhe Wang, Arnaud Doucet, Michalis K. Titsias

ECCV 2024 SparseLIF: High-Performance Sparse LiDAR-Camera Fusion for 3D Object Detection Hongcheng Zhang, Liu Liang, Pengxin Zeng, Xiao Song, Zhe Wang

NeurIPS 2024 Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming Lorenzo Orecchia, Jiawei Hu, Xue He, Zhe Wang, Xulei Yang, Min Wu, Xue Geng

ECCV 2024 nuCraft: Crafting High Resolution 3D Semantic Occupancy for Unified 3D Scene Understanding Benjin Zhu, Zhe Wang, Hongsheng Li

TMLR 2023 A Cubic Regularization Approach for Finding Local Minimax Points in Nonconvex Minimax Optimization Ziyi Chen, Zhengyang Hu, Qunwei Li, Zhe Wang, Yi Zhou

CVPR 2023 ConQueR: Query Contrast Voxel-DETR for 3D Object Detection Benjin Zhu, Zhe Wang, Shaoshuai Shi, Hang Xu, Lanqing Hong, Hongsheng Li

ICCV 2023 Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks Kaixin Xu, Zhe Wang, Xue Geng, Min Wu, Xiaoli Li, Weisi Lin

NeurIPSW 2023 Enhancing the Misreport Network for Optimal Auction Design Haiying Wu, Shuyuan You, Zhiqiang Zhuang, Kewen Wang, Zhe Wang

ICLRW 2023 Improving Data Augmentation for Multi-Modality 3D Object Detection Wenwei Zhang, Zhe Wang, Chen Change Loy

AAAI 2023 Improving Interpretability via Explicit Word Interaction Graph Layer Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi

ICLRW 2023 PF-ABGen: A Reliable and Efficient Antibody Generator via Poisson Flow Chutian Huang, Zijing Liu, Shengyuan Bai, Linwei Zhang, Chencheng Xu, Zhe Wang, Yang Xiang, Yuanpeng Xiong

ICLR 2023 PGrad: Learning Principal Gradients for Domain Generalization Zhe Wang, Jake Grigsby, Yanjun Qi

CVPR 2023 Weakly Supervised Class-Agnostic Motion Prediction for Autonomous Driving Ruibo Li, Hanyu Shi, Ziang Fu, Zhe Wang, Guosheng Lin

AISTATS 2022 Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge Arshdeep Sekhon, Zhe Wang, Yanjun Qi

IJCAI 2022 Better Embedding and More Shots for Few-Shot Learning Ziqiu Chi, Zhe Wang, Mengping Yang, Wei Guo, Xinlei Xu

NeurIPS 2022 FreGAN: Exploiting Frequency Components for Training GANs Under Limited Data Mengping Yang, Zhe Wang, Ziqiu Chi, Yanbing Zhang

ECCVW 2022 Geometric Pose Affordance: Monocular 3D Human Pose Estimation with Scene Constraints Zhe Wang, Liyan Chen, Shaurya Rathore, Daeyun Shin, Charless C. Fowlkes

ICLR 2022 Learning Versatile Neural Architectures by Propagating Network Codes Mingyu Ding, Yuqi Huo, Haoyu Lu, Linjie Yang, Zhe Wang, Zhiwu Lu, Jingdong Wang, Ping Luo

ECCV 2022 PPT: Token-Pruned Pose Transformer for Monocular and Multi-View Human Pose Estimation Haoyu Ma, Zhe Wang, Yifei Chen, Deying Kong, Liangjian Chen, Xingwei Liu, Xiangyi Yan, Hao Tang, Xiaohui Xie

ECCV 2022 RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization Zhe Wang, Jie Lin, Xue Geng, Mohamed M. Sabry Aly, Vijay Chandrasekhar

CVPR 2022 RigidFlow: Self-Supervised Scene Flow Learning on Point Clouds by Local Rigidity Prior Ruibo Li, Chi Zhang, Guosheng Lin, Zhe Wang, Chunhua Shen

WACV 2022 SSCAP: Self-Supervised Co-Occurrence Action Parsing for Unsupervised Temporal Action Segmentation Zhe Wang, Hao Chen, Xinyu Li, Chunhui Liu, Yuanjun Xiong, Joseph Tighe, Charless Fowlkes

UAI 2022 ST-MAML : A Stochastic-Task Based Method for Task-Heterogeneous Meta-Learning Zhe Wang, Jake Grigsby, Arshdeep Sekhon, Yanjun Qi

NeurIPS 2022 Self-Supervised Heterogeneous Graph Pre-Training Based on Structural Clustering Yaming Yang, Ziyu Guan, Zhe Wang, Wei Zhao, Cai Xu, Weigang Lu, Jianbin Huang

CVPRW 2022 The Best of Both Worlds: Combining Model-Based and Nonparametric Approaches for 3D Human Body Estimation Zhe Wang, Jimei Yang, Charless C. Fowlkes

NeurIPS 2022 Towards Efficient 3D Object Detection with Knowledge Distillation Jihan Yang, Shaoshuai Shi, Runyu Ding, Zhe Wang, Xiaojuan Qi

ECCV 2022 WaveGAN: Frequency-Aware GAN for High-Fidelity Few-Shot Image Generation Mengping Yang, Zhe Wang, Ziqiu Chi, Wenyi Feng

AAAI 2021 ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei Li

CVPR 2021 AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching Xiao Song, Guorun Yang, Xinge Zhu, Hui Zhou, Zhe Wang, Jianping Shi

AAAI 2021 Cross-Layer Distillation with Semantic Calibration Defang Chen, Jian-Ping Mei, Yuan Zhang, Can Wang, Zhe Wang, Yan Feng, Chun Chen

JAIR 2021 Game Plan: What AI Can Do for Football, and What Football Can Do for AI Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome T. Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adrià Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Pérolat, Bart De Vylder, S. M. Ali Eslami, Mark Rowland, Andrew Jaegle, Rémi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis

AAAI 2021 PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos Tianyu Luan, Yali Wang, Junhao Zhang, Zhe Wang, Zhipeng Zhou, Yu Qiao

CVPR 2021 ST3D: Self-Training for Unsupervised Domain Adaptation on 3D Object Detection Jihan Yang, Shaoshuai Shi, Zhe Wang, Hongsheng Li, Xiaojuan Qi

ICCVW 2021 VisDrone-DET2021: The Vision Meets Drone Object Detection Challenge Results Yaru Cao, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Chong Cheng, Fanfan Liu, Guojin Cao, Guozhen Li, Hongkai Wang, Jianye He, Junfeng Wan, Qi Wan, Qi Zhao, Shuchang Lyu, Wenzhe Zhao, Xiaoqiang Lu, Xingkui Zhu, Yingjie Liu, Yixuan Lv, Yujing Ma, Yuting Yang, Zhe Wang, Zhenyu Xu, Zhipeng Luo, Zhimin Zhang, Zhiguang Zhang, Zihao Li, Zixiao Zhang

ICLR 2020 A Generalized Training Approach for Multiagent Learning Paul Muller, Shayegan Omidshafiei, Mark Rowland, Karl Tuyls, Julien Perolat, Siqi Liu, Daniel Hennes, Luke Marris, Marc Lanctot, Edward Hughes, Zhe Wang, Guy Lever, Nicolas Heess, Thore Graepel, Remi Munos

AAAI 2020 Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow Mingyu Ding, Zhe Wang, Bolei Zhou, Jianping Shi, Zhiwu Lu, Ping Luo

ICML 2020 History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms Kaiyi Ji, Zhe Wang, Bowen Weng, Yi Zhou, Wei Zhang, Yingbin Liang

NeurIPS 2020 Improving Sample Complexity Bounds for (Natural) Actor-Critic Algorithms Tengyu Xu, Zhe Wang, Yingbin Liang

CVPRW 2020 Learning Depth-Guided Convolutions for Monocular 3D Object Detection Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, Ping Luo

ECCVW 2020 Predicting Camera Viewpoint Improves Cross-Dataset Generalization for 3D Human Pose Estimation Zhe Wang, Daeyun Shin, Charless C. Fowlkes

IJCAI 2020 Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization Yi Zhou, Zhe Wang, Kaiyi Ji, Yingbin Liang, Vahid Tarokh

IJCAI 2020 Query Answering for Existential Rules via Efficient Datalog Rewriting Zhe Wang, Peng Xiao, Kewen Wang, Zhiqiang Zhuang, Hai Wan

AAAI 2020 Query Answering with Guarded Existential Rules Under Stable Model Semantics Hai Wan, Guohui Xiao, Chenglin Wang, Xianqiao Liu, Junhong Chen, Zhe Wang

ICLR 2020 Reanalysis of Variance Reduced Temporal Difference Learning Tengyu Xu, Zhe Wang, Yi Zhou, Yingbin Liang

JMLR 2020 Spectral Algorithms for Community Detection in Directed Networks Zhe Wang, Yingbin Liang, Pengsheng Ji

ECCV 2020 ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language Zhe Wang, Zhiyuan Fang, Jun Wang, Yezhou Yang

JAIR 2019 A Generalisation of AGM Contraction and Revision to Fragments of First-Order Logic Zhiqiang Zhuang, Zhe Wang, Kewen Wang, James P. Delgrande

AAAI 2019 A2-Net: Molecular Structure Estimation from Cryo-EM Density Volumes Kui Xu, Zhe Wang, Jianping Shi, Hongsheng Li, Qiangfeng Cliff Zhang

UAI 2019 Cubic Regularization with Momentum for Nonconvex Optimization Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan

AAAI 2019 Disjunctive Normal Form for Multi-Agent Modal Logics Based on Logical Separability Liangda Fang, Kewen Wang, Zhe Wang, Ximing Wen

CVPRW 2019 Efficient and Accurate Face Alignment by Global Regression and Cascaded Local Refinement Jinzhan Su, Zhe Wang, Chunyuan Liao, Haibin Ling

AAAI 2019 Image Saliency Prediction in Transformed Domain: A Deep Complex Neural Network Method Lai Jiang, Zhe Wang, Mai Xu, Zulin Wang

ICML 2019 Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization Kaiyi Ji, Zhe Wang, Yi Zhou, Yingbin Liang

ACML 2019 Multiple Empirical Kernel Learning with Discriminant Locality Preservation Bolu Wang, Dongdong Li, Zhe Wang

NeurIPS 2019 SpiderBoost and Momentum: Faster Variance Reduction Algorithms Zhe Wang, Kaiyi Ji, Yi Zhou, Yingbin Liang, Vahid Tarokh

AISTATS 2019 Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan

NeurIPS 2018 Convergence of Cubic Regularization for Nonconvex Optimization Under KL Property Yi Zhou, Zhe Wang, Yingbin Liang

AAAI 2018 Forgetting and Unfolding for Existential Rules Zhe Wang, Kewen Wang, Xiaowang Zhang

AAAI 2018 How Images Inspire Poems: Generating Classical Chinese Poetry from Images with Memory Networks Linli Xu, Liang Jiang, Chuan Qin, Zhe Wang, Dongfang Du

AAAI 2018 On the Satisfiability Problem of Patterns in SPARQL 1.1 Xiaowang Zhang, Jan Van den Bussche, Kewen Wang, Zhe Wang

ECCV 2018 Pose Guided Human Video Generation Ceyuan Yang, Zhe Wang, Xinge Zhu, Chen Huang, Jianping Shi, Dahua Lin

IJCAI 2018 Scalable Rule Learning via Learning Representation Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang

WACV 2018 Structured Triplet Learning with POS-Tag Guided Attention for Visual Question Answering Zhe Wang, Xiaoyi Liu, Limin Wang, Yu Qiao, Xiaohui Xie, Charless C. Fowlkes

AAAI 2016 Affinity Preserving Quantization for Hashing: A Vector Quantization Approach to Compact Learn Binary Codes Zhe Wang, Ling-Yu Duan, Tiejun Huang, Wen Gao

JAIR 2016 DL-Lite Contraction and Revision Zhiqiang Zhuang, Zhe Wang, Kewen Wang, Guilin Qi

IJCAI 2016 Eliminating Disjunctions in Answer Set Programming by Restricted Unfolding Jianmin Ji, Hai Wan, Kewen Wang, Zhe Wang, Chuhan Zhang, Jiangtao Xu

ECCV 2016 Learnable Histogram: Statistical Context Features for Deep Neural Networks Zhe Wang, Hongsheng Li, Wanli Ouyang, Xiaogang Wang

CVPR 2016 Real-Time Action Recognition with Enhanced Motion Vector CNNs Bowen Zhang, Limin Wang, Zhe Wang, Yu Qiao, Hanli Wang

ECCV 2016 Temporal Segment Networks: Towards Good Practices for Deep Action Recognition Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, Luc Van Gool

IJCAI 2016 To Project More or to Quantize More: Minimize Reconstruction Bias for Learning Compact Binary Codes Zhe Wang, Ling-Yu Duan, Junsong Yuan, Tiejun Huang, Wen Gao

AAAI 2015 Approximating Model-Based ABox Revision in DL-Lite: Theory and Practice Guilin Qi, Zhe Wang, Kewen Wang, Xuefeng Fu, Zhiqiang Zhuang

ICCVW 2015 Better Exploiting OS-CNNs for Better Event Recognition in Images Limin Wang, Zhe Wang, Sheng Guo, Yu Qiao

CVPR 2015 DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection Wanli Ouyang, Xiaogang Wang, Xingyu Zeng, Shi Qiu, Ping Luo, Yonglong Tian, Hongsheng Li, Shuo Yang, Zhe Wang, Chen-Change Loy, Xiaoou Tang

CVPRW 2015 Exploring Fisher Vector and Deep Networks for Action Spotting Zhe Wang, Limin Wang, Wenbin Du, Yu Qiao

IJCAI 2015 Extending AGM Contraction to Arbitrary Logics Zhiqiang Zhuang, Zhe Wang, Kewen Wang, James P. Delgrande

IJCAI 2015 Hamming Compatible Quantization for Hashing Zhe Wang, Ling-Yu Duan, Jie Lin, Xiaofang Wang, Tiejun Huang, Wen Gao

AAAI 2015 Instance-Driven Ontology Evolution in DL-Lite Zhe Wang, Kewen Wang, Zhiqiang Zhuang, Guilin Qi

AAAI 2015 Knowledge Forgetting in Circumscription: A Preliminary Report Yisong Wang, Kewen Wang, Zhe Wang, Zhiqiang Zhuang

CVPRW 2015 Object-Scene Convolutional Neural Networks for Event Recognition in Images Limin Wang, Zhe Wang, Wenbin Du, Yu Qiao

AAAI 2015 Query Abduction for ELH Ontologies Mahsa Chitsaz, Zhe Wang, Kewen Wang

AAAI 2014 Contraction and Revision over DL-Lite TBoxes Zhiqiang Zhuang, Zhe Wang, Kewen Wang, Guilin Qi

JAIR 2013 Acyclicity Notions for Existential Rules and Their Application to Query Answering in Ontologies Bernardo Cuenca Grau, Ian Horrocks, Markus Krötzsch, Clemens Kupke, Despoina Magka, Boris Motik, Zhe Wang

ECCV 2012 Real-Time Plane Segmentation and Obstacle Detection of 3D Point Clouds for Indoor Scenes Zhe Wang, Hong Liu, Yueliang Qian, Tao Xu

ECCVW 2012 Real-Time Plane Segmentation and Obstacle Detection of 3D Point Clouds for Indoor Scenes Zhe Wang, Hong Liu, Yueliang Qian, Tao Xu

AAAI 2010 A New Approach to Knowledge Base Revision in DL-Lite Zhe Wang, Kewen Wang, Rodney W. Topor

CVPRW 2003 Word Extraction Using Area Voronoi Diagram Zhe Wang, Yue Lu, Chew Lim Tan