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ORCIDZhi Tang 0001
Person information
- affiliation: Peking University, Beijing, China
Other persons with the same name
- Zhi Tang — disambiguation page
- Zhi Tang 0002
![[0000-0002-8675-588X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-8675-588X")
— Liaoning Technical University, Fuxin, China - Zhi Tang 0003 — Anhui Normal University, Wuhu, China
- Zhi Tang 0004 — Donghua University, Shanghai, China
- Zhi Tang 0005 — Chongqing University, Chongqing, China
- Zhi Tang 0006 — Jimei University, Xiamen, China
- Zhi Tang 0007 — University of South China, Hengyang, China
- Zhi Tang 0008 — Hanyang University, Seoul, South Korea
- Zhi Tang 0009 — University of Zhejiang, Hangzhou, Zhejiang, China
- Zhi Tang 0010 — Beihang University, Beijing, China
- Zhi Tang 0011 — University of Electronic Science and Technology of China, Chengdu, China
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2020 – today
- 2024
[j19]Ziyi Zhu, Zhi Tang, Liangcai Gao:
Table image dewarping with key element segmentation. Int. J. Document Anal. Recognit. 27(3): 349-362 (2024)- [c152]Yuxuan Zhou, Liangcai Gao, Zhi Tang, Baole Wei:
Recognition-Guided Diffusion Model for Scene Text Image Super-Resolution. ICASSP 2024: 2940-2944 - [c151]Baole Wei, Minghang He, Liangcai Gao, Duoyou Zhou, Xiang Bai, Zhi Tang:
Maskstr: Guide Scene Text Recognition Models with Masking. ICASSP 2024: 4245-4249 - [c150]Zuoyu Yan, Junru Zhou, Liangcai Gao, Zhi Tang, Muhan Zhang:
An Efficient Subgraph GNN with Provable Substructure Counting Power. KDD 2024: 3702-3713 - [i31]Shuai Peng, Di Fu, Baole Wei, Yong Cao, Liangcai Gao, Zhi Tang:
Vote&Mix: Plug-and-Play Token Reduction for Efficient Vision Transformer. CoRR abs/2408.17062 (2024) - [i30]Shuai Peng, Di Fu, Liangcai Gao, Xiuqin Zhong, Hongguang Fu, Zhi Tang:
MultiMath: Bridging Visual and Mathematical Reasoning for Large Language Models. CoRR abs/2409.00147 (2024) - [i29]Jin Jiang, Yuchen Yan, Yang Liu, Yonggang Jin, Shuai Peng, Mengdi Zhang, Xunliang Cai, Yixin Cao, Liangcai Gao, Zhi Tang:
LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning. CoRR abs/2409.12929 (2024) - [i28]Zhiwei Lin, Yongtao Wang, Zhi Tang:
Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts. CoRR abs/2410.05963 (2024) - 2023
- [c149]Shuai Peng, Di Fu, Yijun Liang, Liangcai Gao, Zhi Tang:
GeoDRL: A Self-Learning Framework for Geometry Problem Solving using Reinforcement Learning in Deductive Reasoning. ACL (Findings) 2023: 13468-13480 - [c148]Ruiqi Jia, Xianbing Feng, Xiaoqing Lyu, Zhi Tang:
Graph-Graph Context Dependency Attention for Graph Edit Distance. ICASSP 2023: 1-5 - [c147]Jiyao Deng, Yi Zhang, Xinpeng Zhang, Zhi Tang, Liangcai Gao:
An Iterative Graph Learning Convolution Network for Key Information Extraction Based on the Document Inductive Bias. ICDAR (3) 2023: 84-97 - [c146]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen, Yusu Wang:
Cycle Invariant Positional Encoding for Graph Representation Learning. LoG 2023: 4 - [i27]Zuoyu Yan, Junru Zhou, Liangcai Gao, Zhi Tang, Muhan Zhang:
Efficiently Counting Substructures by Subgraph GNNs without Running GNN on Subgraphs. CoRR abs/2303.10576 (2023) - [i26]Yuxuan Zhou, Liangcai Gao, Zhi Tang, Baole Wei:
Recognition-Guided Diffusion Model for Scene Text Image Super-Resolution. CoRR abs/2311.13317 (2023) - [i25]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen, Yusu Wang:
Cycle Invariant Positional Encoding for Graph Representation Learning. CoRR abs/2311.14333 (2023) - 2022
- [j18]Ting-Ting Liang, Xiaojie Chu, Yudong Liu, Yongtao Wang, Zhi Tang, Wei Chu, Jingdong Chen, Haibin Ling:
CBNet: A Composite Backbone Network Architecture for Object Detection. IEEE Trans. Image Process. 31: 6893-6906 (2022) - [c145]Hao Huang, Yongtao Wang, Zhaoyu Chen, Yuze Zhang, Yuheng Li, Zhi Tang, Wei Chu, Jingdong Chen, Weisi Lin, Kai-Kuang Ma:
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes. AAAI 2022: 989-997 - [c144]Ruiqi Jia, Wentao Xie, Baole Wei, Guanren Qiao, Zonglin Yang, Xiaoqing Lyu, Zhi Tang:
Molecular Formula Image Segmentation with Shape Constraint Loss and Data Augmentation. BIBM 2022: 3821-3823 - [c143]Baole Wei, Ruiqi Jia, Shihan Fu, Xiaoqing Lyu, Liangcai Gao, Zhi Tang:
MIR: A Benchmark for Molecular Image Retrival with a Cross-modal Pretraining Framework. BIBM 2022: 3902-3904 - [c142]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen:
Cycle Representation Learning for Inductive Relation Prediction. ICML 2022: 24895-24910 - [c141]Shuai Peng, Di Fu, Yong Cao, Yijun Liang, Gu Xu, Liangcai Gao, Zhi Tang:
Compute Like Humans: Interpretable Step-by-step Symbolic Computation with Deep Neural Network. KDD 2022: 1348-1357 - [c140]Tingting Liang, Hongwei Xie, Kaicheng Yu, Zhongyu Xia, Zhiwei Lin, Yongtao Wang, Tao Tang, Bing Wang, Zhi Tang:
BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework. NeurIPS 2022 - [c139]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen:
Neural Approximation of Graph Topological Features. NeurIPS 2022 - [i24]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen:
Neural Approximation of Extended Persistent Homology on Graphs. CoRR abs/2201.12032 (2022) - [i23]Tingting Liang, Hongwei Xie, Kaicheng Yu, Zhongyu Xia, Zhiwei Lin, Yongtao Wang, Tao Tang, Bing Wang, Zhi Tang:
BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework. CoRR abs/2205.13790 (2022) - [i22]Zhiwei Lin, Tingting Liang, Taihong Xiao, Yongtao Wang, Zhi Tang, Ming-Hsuan Yang:
FlowNAS: Neural Architecture Search for Optical Flow Estimation. CoRR abs/2207.01271 (2022) - 2021
- [c138]Xianbing Feng, Jingwei Qu, Tianle Wang, Bei Wang, Xiaoqing Lyu, Zhi Tang:
Attention-enhanced Graph Cross-convolution for Protein-Ligand Binding Affinity Prediction. BIBM 2021: 1299-1302 - [c137]Jingwei Qu, Bei Wang, Zhixun Li, Xiaoqing Lyu, Zhi Tang:
Understanding Multivariate Drug-Target-DiseaseInterdependence via Event-Graph. BIBM 2021: 1685-1687 - [c136]Tingting Liang, Yongtao Wang, Zhi Tang, Guosheng Hu, Haibin Ling:
OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection. CVPR 2021: 10195-10203 - [c135]Yibo Li, Yilun Huang, Ziyi Zhu, Lemeng Pan, Yongshuai Huang, Lin Du, Zhi Tang, Liangcai Gao:
Rethinking Table Structure Recognition Using Sequence Labeling Methods. ICDAR (2) 2021: 541-553 - [c134]Ke Yuan, Liangcai Gao, Zhuoren Jiang, Zhi Tang:
Formula Citation Graph Based Mathematical Information Retrieval. ICDAR (1) 2021: 631-647 - [c133]Shuai Peng, Liangcai Gao, Ke Yuan, Zhi Tang:
Image to LaTeX with Graph Neural Network for Mathematical Formula Recognition. ICDAR (2) 2021: 648-663 - [c132]Hao Huang, Yongtao Wang, Zhaoyu Chen, Zhi Tang, Wenqiang Zhang, Kai-Kuang Ma:
Rpattack: Refined Patch Attack on General Object Detectors. ICME 2021: 1-6 - [c131]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen:
Link Prediction with Persistent Homology: An Interactive View. ICML 2021: 11659-11669 - [c130]Jingwei Qu, Haibin Ling, Chenrui Zhang, Xiaoqing Lyu, Zhi Tang:
Adaptive Edge Attention for Graph Matching with Outliers. IJCAI 2021: 966-972 - [i21]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen:
Persistence Homology for Link Prediction: An Interactive View. CoRR abs/2102.10255 (2021) - [i20]Tingting Liang, Yongtao Wang, Zhi Tang, Guosheng Hu, Haibin Ling:
OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection. CoRR abs/2103.04507 (2021) - [i19]Hao Huang, Yongtao Wang, Zhaoyu Chen, Zhi Tang, Wenqiang Zhang, Kai-Kuang Ma:
RPATTACK: Refined Patch Attack on General Object Detectors. CoRR abs/2103.12469 (2021) - [i18]Zhuoren Jiang, Xiaozhong Liu, Liangcai Gao, Zhi Tang:
Community-based Cyberreading for Information Understanding. CoRR abs/2103.14934 (2021) - [i17]Ke Yuan, Zuoyu Yan, Yibo Li, Liangcai Gao, Zhi Tang:
Automatic Description Construction for Math Expression via Topic Relation Graph. CoRR abs/2104.11890 (2021) - [i16]Shuai Peng, Ke Yuan, Liangcai Gao, Zhi Tang:
MathBERT: A Pre-Trained Model for Mathematical Formula Understanding. CoRR abs/2105.00377 (2021) - [i15]Hao Huang, Yongtao Wang, Zhaoyu Chen, Yuheng Li, Zhi Tang, Wei Chu, Jingdong Chen, Weisi Lin, Kai-Kuang Ma:
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes. CoRR abs/2105.10872 (2021) - [i14]Tingting Liang, Xiaojie Chu, Yudong Liu, Yongtao Wang, Zhi Tang, Wei Chu, Jingdong Chen, Haibin Ling:
CBNetV2: A Composite Backbone Network Architecture for Object Detection. CoRR abs/2107.00420 (2021) - [i13]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen:
A Topological View of Rule Learning in Knowledge Graphs. CoRR abs/2110.02510 (2021) - 2020
- [j17]Siwei Wang, Yudong Liu, Zheqi He, Yongtao Wang, Zhi Tang:
A quadrilateral scene text detector with two-stage network architecture. Pattern Recognit. 102: 107230 (2020) - [j16]Xiaoping Zhou, Xun Liang, Zhi Tang:
Scalable Triangle Discovery Algorithm for Large Scale-Free Network with Limited Internal Memory. IEEE Trans. Big Data 6(4): 757-769 (2020) - [j15]Xiaoping Zhou, Xun Liang, Xu Zhu, Zhi Tang:
Convex Edges in Social Networks. IEEE Trans. Comput. Soc. Syst. 7(1): 58-67 (2020) - [c129]Ke Yuan, Dafang He, Zhuoren Jiang, Liangcai Gao, Zhi Tang, C. Lee Giles:
Automatic Generation of Headlines for Online Math Questions. AAAI 2020: 9490-9497 - [c128]Yudong Liu, Yongtao Wang, Siwei Wang, Tingting Liang, Qijie Zhao, Zhi Tang, Haibin Ling:
CBNet: A Novel Composite Backbone Network Architecture for Object Detection. AAAI 2020: 11653-11660 - [c127]Haowen Sun, Xiaoqing Lyu, Bei Wang, Yifan Wang, Zhi Tang, Zhenming Liu:
An Enhanced LRMC Method for Drug Repositioning via GCN-based HIN Embedding. BIBM 2020: 1137-1141 - [c126]Bei Wang, Chenrui Zhang, Hao Zhang, Xiaoqing Lyu, Zhi Tang:
Dual Autoencoder Network with Swap Reconstruction for Cold-Start Recommendation. CIKM 2020: 2249-2252 - [c125]Shaoling Jing, Shibo Hong, Dongyan Zhao, Haihua Xie, Zhi Tang:
Combining Impression Feature Representation for Multi-turn Conversational Question Answering. CNCL 2020: 57-69 - [c124]Ke Yuan, Dafang He, Xiao Yang, Zhi Tang, Daniel Kifer, C. Lee Giles:
Follow The Curve: Arbitrarily Oriented Scene Text Detection Using Key Points Spotting And Curve Prediction. ICME 2020: 1-6 - [c123]Chenrui Zhang, Yifeng Huang, Xiaoqing Lyu, Zhi Tang:
Topology Discriminative Pooling via Graph Kernel Derived Nodes and Edges Co-Embedding. ICME 2020: 1-6 - [c122]Kaiyu Shan, Yongtao Wang, Zhi Tang, Ying Chen, Yangyan Li:
MixTConv: Mixed Temporal Convolutional Kernels for Efficient Action Recognition. ICPR 2020: 1751-1756 - [c121]Yonggang Li, Yafeng Zhou, Yongtao Wang, Xiaoran Qin, Zhi Tang:
Dual Loss for Manga Character Recognition with Imbalanced Training Data. ICPR 2020: 2166-2171 - [c120]Zuoyu Yan, Xiaode Zhang, Liangcai Gao, Ke Yuan, Zhi Tang:
ConvMath: A Convolutional Sequence Network for Mathematical Expression Recognition. ICPR 2020: 4566-4572 - [c119]Zhuoying Wang, Yongtao Wang, Zhi Tang, Yangyan Li, Ying Chen, Haibin Ling, Weisi Lin:
GSTO: Gated Scale-Transfer Operation for Multi-Scale Feature Learning in Semantic Segmentation. ICPR 2020: 7111-7118 - [c118]Yonggang Li, Yafeng Zhou, Yongtao Wang, Zhi Tang:
PD-DARTS: Progressive Discretization Differentiable Architecture Search. ICPRAI 2020: 306-311 - [c117]Haihua Xie, Zhiyou Chen, Yabo Li, Shaoling Jing, Xiaoqing Lyu, Zhi Tang:
SemBRS: A Semantic Analysis Based Book Retrieval Approach. MIPR 2020: 101-104 - [c116]Yafeng Zhou, Yongtao Wang, Zheqi He, Zhi Tang, Ching Y. Suen:
Towards Accurate Panel Detection in Manga: A Combined Effort of CNN and Heuristics. MMM (1) 2020: 215-226 - [i12]Kaiyu Shan, Yongtao Wang, Zhuoying Wang, Tingting Liang, Zhi Tang, Ying Chen, Yangyan Li:
MixTConv: Mixed Temporal Convolutional Kernels for Efficient Action Recogntion. CoRR abs/2001.06769 (2020) - [i11]Zhuoying Wang, Yongtao Wang, Zhi Tang, Yangyan Li, Ying Chen, Haibin Ling, Weisi Lin:
GSTO: Gated Scale-Transfer Operation for Multi-Scale Feature Learning in Pixel Labeling. CoRR abs/2005.13363 (2020) - [i10]Zuoyu Yan, Xiaode Zhang, Liangcai Gao, Ke Yuan, Zhi Tang:
ConvMath: A Convolutional Sequence Network for Mathematical Expression Recognition. CoRR abs/2012.12619 (2020)
2010 – 2019
- 2019
- [j14]Jingwei Qu, Penghui Sun, Xin Li, Bei Wang, Xiaoqing Lu, Zhi Tang, Chengcui Zhang:
A Retrieval System of Medicine Molecules Based on Graph Similarity. IEEE Multim. 26(4): 17-27 (2019) - [j13]Jiahui Li, Siwei Wang, Yongtao Wang, Zhi Tang:
Synthesizing data for text recognition with style transfer. Multim. Tools Appl. 78(20): 29183-29196 (2019) - [c115]Qijie Zhao, Tao Sheng, Yongtao Wang, Zhi Tang, Ying Chen, Ling Cai, Haibin Ling:
M2Det: A Single-Shot Object Detector Based on Multi-Level Feature Pyramid Network. AAAI 2019: 9259-9266 - [c114]Xiaoran Qin, Yafeng Zhou, Yonggang Li, Siwei Wang, Yongtao Wang, Zhi Tang:
Progressive deep feature learning for manga character recognition via unlabeled training data. ACM TUR-C 2019: 91:1-91:6 - [c113]Tingting Liang, Qijie Zhao, Zhuoying Wang, Kaiyu Shan, Huan Zhang, Yongtao Wang, Zhi Tang:
Pyramidal region context module for semantic segmentation. ACM TUR-C 2019: 102:1-102:6 - [c112]Chenrui Zhang, Xiaoqing Lyu, Yifeng Huang, Zhi Tang, Zhenming Liu:
Molecular Graph Generation with Deep Reinforced Multitask Network and Adversarial Imitation Learning. BIBM 2019: 326-329 - [c111]Xin Li, Xiaoqing Lyu, Zhi Tang, Hao Zhang:
Chemical Similarity Based on Map Edit Distance. BIBM 2019: 1220-1222 - [c110]Bei Wang, Xiaoqing Lyu, Zhi Tang, Yifan Wang:
Comparison of Molecule Graph Representation with Similarity Consistency. BIBM 2019: 1250-1252 - [c109]Bei Wang, Xiaoqing Lyu, Jingwei Qu, Haowen Sun, Zehua Pan, Zhi Tang:
GNDD: A Graph Neural Network-Based Method for Drug-Disease Association Prediction. BIBM 2019: 1253-1255 - [c108]Zuoyu Yan, Liangcai Gao, Zhi Tang, Xinpeng Zhang:
A non-local based segmentation method for Pelvic MR Images. BIBM 2019: 1265-1267 - [c107]Yibo Li, Liangcai Gao, Zhi Tang, Qinqin Yan, Yilun Huang:
A GAN-Based Feature Generator for Table Detection. ICDAR 2019: 763-768 - [c106]Yilun Huang, Qinqin Yan, Yibo Li, Yifan Chen, Xiong Wang, Liangcai Gao, Zhi Tang:
A YOLO-Based Table Detection Method. ICDAR 2019: 813-818 - [c105]Siwei Wang, Yongtao Wang, Xiaoran Qin, Qijie Zhao, Zhi Tang:
Scene Text Recognition via Gated Cascade Attention. ICME 2019: 1018-1023 - [c104]Xin Li, Xiaoqing Lyu, Hao Zhang, Keqi Hu, Zhi Tang:
Regularizing Variational Autoencoders for Molecular Graph Generation. ICONIP (5) 2019: 467-476 - [c103]Haihua Xie, Xiaoqing Lu, Xuefei Chen, Jinle Tong, Zhi Tang:
ES-ESens: Detection of Event Sentences Based on Evaluation of the Explicitness and Significance of Information. MIPR 2019: 32-35 - [c102]Chenrui Zhang, Xiaoqing Lyu, Zhi Tang:
TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning. ACM Multimedia 2019: 1641-1649 - [c101]Haihua Xie, Aolin Li, Yabo Li, Jing Cheng, Zhiyou Chen, Xiaoqing Lyu, Zhi Tang:
Automatic Chinese Spelling Checking and Correction Based on Character-Based Pre-trained Contextual Representations. NLPCC (2) 2019: 540-549 - [i9]Penghui Sun, Jingwei Qu, Xiaoqing Lyu, Haibin Ling, Zhi Tang:
Graph Attribute Aggregation Network with Progressive Margin Folding. CoRR abs/1905.05347 (2019) - [i8]Chenrui Zhang, Xiaoqing Lyu, Zhi Tang:
TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning. CoRR abs/1908.11503 (2019) - [i7]Yudong Liu, Yongtao Wang, Siwei Wang, Tingting Liang, Qijie Zhao, Zhi Tang, Haibin Ling:
CBNet: A Novel Composite Backbone Network Architecture for Object Detection. CoRR abs/1909.03625 (2019) - [i6]Ke Yuan, Dafang He, Zhuoren Jiang, Liangcai Gao, Zhi Tang, C. Lee Giles:
Automatic Generation of Headlines for Online Math Questions. CoRR abs/1912.00839 (2019) - [i5]Tingting Liang, Yongtao Wang, Qijie Zhao, Huan Zhang, Zhi Tang, Haibin Ling:
MFPN: A Novel Mixture Feature Pyramid Network of Multiple Architectures for Object Detection. CoRR abs/1912.09748 (2019) - 2018
- [c100]Qijie Zhao, Yongtao Wang, Tao Sheng, Zhi Tang:
Comprehensive Feature Enhancement Module for Single-Shot Object Detector. ACCV (5) 2018: 325-340 - [c99]Yitao Liu, Xiaoqing Lyu, Haihua Xie, Xiaotong Yan, Bei Wang, Zhi Tang:
A method for improving the reliability of causal inference from large-scale data in biomedicine. BIBM 2018: 693-696 - [c98]Penghui Sun, Xiaoqing Lyu, Xin Li, Bei Wang, Xiaohan Yi, Zhi Tang:
Understanding Markush Structures in Chemistry Documents With Deep Learning. BIBM 2018: 1126-1129 - [c97]Wenhao Zhang, Liangcai Gao, Zhi Tang, Menglong Ran, Zhimiao Lin:
A Benchmark for Automatic Acral Melanoma Preliminary Screening. BIBM 2018: 2829-2831 - [c96]Zhuoren Jiang, Liangcai Gao, Ke Yuan, Zheng Gao, Zhi Tang, Xiaozhong Liu:
Mathematics Content Understanding for Cyberlearning via Formula Evolution Map. CIKM 2018: 37-46 - [c95]Penghui Sun, Yan Chen, Xiaoqing Lyu, Bei Wang, Jingwei Qu, Zhi Tang:
A Free-Sketch Recognition Method for Chemical Structural Formula. DAS 2018: 157-162 - [c94]Liangcai Gao, Xiaode Zhang, Zhi Tang, Yaoxiong Huang, Lianwen Jin:
A Sequence Labeling Based Approach for Character Segmentation of Historical Documents. DAS 2018: 305-310 - [c93]Ke Yuan, Liangcai Gao, Zhuoren Jiang, Zhi Tang:
Formula Ranking within an Article. JCDL 2018: 123-126 - [c92]Haihua Xie, Xiaoqing Lu, Zhi Tang:
Clustering Analysis-Based Approach to Detecting Entity Mixture in Knowledge Bases. JCDL 2018: 395-396 - [c91]Jingwei Qu, Xiaoqing Lyu, Chengcui Zhang, Penghui Sun, Bei Wang, Zhi Tang:
PharmKi: A Retrieval System of Chemical Structural Formula Based on Graph Similarity. MIPR 2018: 45-50 - [c90]Zheqi He, Yafeng Zhou, Yongtao Wang, Siwei Wang, Xiaoqing Lu, Zhi Tang, Ling Cai:
An End-to-End Quadrilateral Regression Network for Comic Panel Extraction. ACM Multimedia 2018: 887-895 - [c89]Ting Guo, Rundong Cui, Xiaoran Qin, Yongtao Wang, Zhi Tang:
Bottom-up/Top-down Geometric Object Reconstruction with CNN Classification for Mobile Education. PG (Short Papers and Posters) 2018: 13-16 - [i4]Qijie Zhao, Feng Ni, Yang Song, Yongtao Wang, Zhi Tang:
Deep Dual Pyramid Network for Barcode Segmentation using Barcode-30k Database. CoRR abs/1807.11886 (2018) - [i3]Qijie Zhao, Tao Sheng, Yongtao Wang, Zhi Tang, Ying Chen, Ling Cai, Haibin Ling:
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network. CoRR abs/1811.04533 (2018) - [i2]Zhuoren Jiang, Liangcai Gao, Ke Yuan, Zheng Gao, Zhi Tang, Xiaozhong Liu:
Mathematics Content Understanding for Cyberlearning via Formula Evolution Map. CoRR abs/1812.11786 (2018) - 2017
- [c88]Zheqi He, Yafeng Zhou, Yongtao Wang, Zhi Tang:
SReN: Shape Regression Network for Comic Storyboard Extraction. AAAI 2017: 4937-4938 - [c87]Dong An, Liangcai Gao, Zhuoren Jiang, Runtao Liu, Zhi Tang:
Citation Metadata Extraction via Deep Neural Network-based Segment Sequence Labeling. CIKM 2017: 1967-1970 - [c86]Yuan Liao, Xiaoqing Lu, Chengcui Zhang, Yongtao Wang, Zhi Tang:
Mutual Enhancement for Detection of Multiple Logos in Sports Videos. ICCV 2017: 4856-4865 - [c85]Liangcai Gao, Xiaohan Yi, Yuan Liao, Zhuoren Jiang, Zuoyu Yan, Zhi Tang:
A Deep Learning-Based Formula Detection Method for PDF Documents. ICDAR 2017: 553-558 - [c84]Ting Guo, Yongtao Wang, Yafeng Zhou, Zheqi He, Zhi Tang:
Geometric Object 3D Reconstruction from Single Line Drawing Image with Bottom-Up and Top-Down Classification and Sketch Generation. ICDAR 2017: 670-676 - [c83]Xiaoran Qin, Yafeng Zhou, Zheqi He, Yongtao Wang, Zhi Tang:
A Faster R-CNN Based Method for Comic Characters Face Detection. ICDAR 2017: 1074-1080 - [c82]Xiaode Zhang, Liangcai Gao, Ke Yuan, Runtao Liu, Zhuoren Jiang, Zhi Tang:
A Symbol Dominance Based Formulae Recognition Approach for PDF Documents. ICDAR 2017: 1144-1149 - [c81]Liangcai Gao, Xiaohan Yi, Zhuoren Jiang, Leipeng Hao, Zhi Tang:
ICDAR2017 Competition on Page Object Detection. ICDAR 2017: 1417-1422 - [c80]Haihua Xie, Xiaoqing Lu, Zhi Tang, Xiaojun Huang:
Detect Incorrect Triples in Knowledge Base Based on Triple Confidence Evaluation. ICIBE 2017: 93-101 - [c79]Yuan Liao, Songping Fu, Xiaoqing Lu, Chengcui Zhang, Zhi Tang:
Deep-learning-based object-level contour detection with CCG and CRF optimization. ICME 2017: 859-864 - [c78]Runtao Liu, Liangcai Gao, Dong An, Zhuoren Jiang, Zhi Tang:
Automatic Document Metadata Extraction Based on Deep Networks. NLPCC 2017: 305-317 - [i1]Liangcai Gao, Zhuoren Jiang, Yue Yin, Ke Yuan, Zuoyu Yan, Zhi Tang:
Preliminary Exploration of Formula Embedding for Mathematical Information Retrieval: can mathematical formulae be embedded like a natural language? CoRR abs/1707.05154 (2017) - 2016
- [j12]