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2020 – today
- 2022
[j36]Xue Yang, Junchi Yan:
On the Arbitrary-Oriented Object Detection: Classification Based Approaches Revisited. Int. J. Comput. Vis. 130(5): 1340-1365 (2022)- [j35]Weipeng Zhang, Ning Zhang, Junchi Yan, Guofu Li, Xiaokang Yang:
Auto uning of price prediction models for high-frequency trading via reinforcement learning. Pattern Recognit. 125: 108543 (2022) - [j34]Weichang Wu
, Junchi Yan, Xiaokang Yang, Hongyuan Zha:
Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model. IEEE Trans. Knowl. Data Eng. 34(2): 573-586 (2022) - [j33]Xingbo Du, Junchi Yan, Rui Zhang, Hongyuan Zha:
Cross-Network Skip-Gram Embedding for Joint Network Alignment and Link Prediction. IEEE Trans. Knowl. Data Eng. 34(3): 1080-1095 (2022) - [i94]Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Junchi Yan, Xiaokang Yang:
Mind Your Solver! On Adversarial Attack and Defense for Combinatorial Optimization. CoRR abs/2201.00402 (2022) - [i93]Xing Ai, Zhihong Zhang, Luzhe Sun, Junchi Yan, Edwin R. Hancock:
Decompositional Quantum Graph Neural Network. CoRR abs/2201.05158 (2022) - [i92]Xue Yang, Yue Zhou, Gefan Zhang, Jitui Yang, Wentao Wang, Junchi Yan, Xiaopeng Zhang, Qi Tian:
The KFIoU Loss for Rotated Object Detection. CoRR abs/2201.12558 (2022) - [i91]Yixuan He, Quan Gan, David Wipf, Gesine Reinert, Junchi Yan, Mihai Cucuringu:
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks. CoRR abs/2202.00211 (2022) - [i90]Qitian Wu, Hengrui Zhang, Junchi Yan, David Wipf:
Towards Distribution Shift of Node-Level Prediction on Graphs: An Invariance Perspective. CoRR abs/2202.02466 (2022) - [i89]Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun:
Transformers in Time Series: A Survey. CoRR abs/2202.07125 (2022) - [i88]Nianzu Yang, Huaijin Wu, Junchi Yan, Xiaoyong Pan, Ye Yuan, Le Song:
Molecule Generation for Drug Design: a Graph Learning Perspective. CoRR abs/2202.09212 (2022) - [i87]Yehui Tang, Junchi Yan, Edwin R. Hancock:
From Quantum Graph Computing to Quantum Graph Learning: A Survey. CoRR abs/2202.09506 (2022) - [i86]Junchi Yan, Xianglong Liu, Ruoyu Cheng, Yibo Lin:
Towards Machine Learning for Placement and Routing in Chip Design: a Methodological Overview. CoRR abs/2202.13564 (2022) - [i85]Zhijie Chen, Mingquan Feng, Junchi Yan, Hongyuan Zha:
Learning Neural Hamiltonian Dynamics: A Methodological Overview. CoRR abs/2203.00128 (2022) - [i84]Jiayi Zhang, Chang Liu, Junchi Yan, Xijun Li, Hui-Ling Zhen, Mingxuan Yuan:
A Survey for Solving Mixed Integer Programming via Machine Learning. CoRR abs/2203.02878 (2022) - [i83]Wenxuan Guo, Junchi Yan, Hui-Ling Zhen, Xijun Li, Mingxuan Yuan, Yaohui Jin:
Machine Learning Methods in Solving the Boolean Satisfiability Problem. CoRR abs/2203.04755 (2022) - [i82]Zanwei Zhou, Zi Wang, Shunyu Yao, Yichao Yan, Chen Yang, Guangtao Zhai, Junchi Yan, Xiaokang Yang:
DialogueNeRF: Towards Realistic Avatar Face-to-face Conversation Video Generation. CoRR abs/2203.07931 (2022) - [i81]Xuehui Yu, Pengfei Chen, Di Wu, Najmul Hassan, Guorong Li, Junchi Yan, Humphrey Shi, Qixiang Ye, Zhenjun Han:
Object Localization under Single Coarse Point Supervision. CoRR abs/2203.09338 (2022) - [i80]Xiaoxing Wang, Jiale Lin, Junchi Yan, Juanping Zhao, Xiaokang Yang:
EAutoDet: Efficient Architecture Search for Object Detection. CoRR abs/2203.10747 (2022) - [i79]Li Chen, Chonghao Sima, Yang Li, Zehan Zheng, Jiajie Xu, Xiangwei Geng, Hongyang Li, Conghui He, Jianping Shi, Yu Qiao, Junchi Yan:
PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark. CoRR abs/2203.11089 (2022) - [i78]Jiawei Sun, Junchi Yan, Chentao Wu, Yue Ding, Ruoxin Chen, Xiang Yu, Xinyu Lu, Jie Li:
GraphCoCo: Graph Complementary Contrastive Learning. CoRR abs/2203.12821 (2022) - [i77]Chao Chen, Dongsheng Li, Junchi Yan, Xiaokang Yang:
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation. CoRR abs/2204.00752 (2022) - [i76]Chao Chen, Haoyu Geng, Nianzu Yang, Junchi Yan, Daiyue Xue, Jianping Yu, Xiaokang Yang:
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation. CoRR abs/2204.06517 (2022) - [i75]Wujiang Xu, Shaoshuai Li, Qiongxu Ma, Yunan Zhao, Sheng Guo, Xiaobo Guo, Bing Han, Junchi Yan, Yifei Xu:
MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization. CoRR abs/2204.08352 (2022) - [i74]Yue Zhou, Xue Yang, Gefan Zhang, Jiabao Wang, Yanyi Liu, Liping Hou, Xue Jiang, Xingzhao Liu, Junchi Yan, Chengqi Lyu, Wenwei Zhang, Kai Chen:
MMRotate: A Rotated Object Detection Benchmark using Pytorch. CoRR abs/2204.13317 (2022) - [i73]Shaofeng Zhang, Feng Zhu, Junchi Yan, Rui Zhao, Xiaokang Yang:
DOTIN: Dropping Task-Irrelevant Nodes for GNNs. CoRR abs/2204.13429 (2022) - 2021
- [j32]Jiayi Ma, Xingyu Jiang, Aoxiang Fan, Junjun Jiang, Junchi Yan:
Image Matching from Handcrafted to Deep Features: A Survey. Int. J. Comput. Vis. 129(1): 23-79 (2021) - [j31]Dezhong Xu, Lifang Wu, Yonghao He, Qing Zhao, Meng Jian, Junchi Yan, Liang Zhao:
OS-LFFD: a light and fast face detector with Ommateum structure. Multim. Tools Appl. 80(26): 34153-34172 (2021) - [j30]Zetian Jiang, Tianzhe Wang, Junchi Yan:
Unifying Offline and Online Multi-Graph Matching via Finding Shortest Paths on Supergraph. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3648-3663 (2021) - [j29]Xiangfeng Wang, Junchi Yan, Bo Jin, Wenhao Li:
Distributed and Parallel ADMM for Structured Nonconvex Optimization Problem. IEEE Trans. Cybern. 51(9): 4540-4552 (2021) - [j28]Longyuan Li, Junchi Yan, Haiyang Wang, Yaohui Jin:
Anomaly Detection of Time Series With Smoothness-Inducing Sequential Variational Auto-Encoder. IEEE Trans. Neural Networks Learn. Syst. 32(3): 1177-1191 (2021) - [c133]Zhongpai Gao, Junchi Yan, Guangtao Zhai, Juyong Zhang, Yiyan Yang, Xiaokang Yang:
Learning Local Neighboring Structure for Robust 3D Shape Representation. AAAI 2021: 1397-1405 - [c132]Wen Qian, Xue Yang, Silong Peng, Junchi Yan, Yue Guo:
Learning Modulated Loss for Rotated Object Detection. AAAI 2021: 2458-2466 - [c131]Mingyu Wu, Boyuan Jiang, Donghao Luo, Junchi Yan, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Xiaokang Yang:
Learning Comprehensive Motion Representation for Action Recognition. AAAI 2021: 2934-2942 - [c130]Xue Yang, Junchi Yan, Ziming Feng, Tao He:
R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object. AAAI 2021: 3163-3171 - [c129]Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang:
Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning. AAAI 2021: 7011-7019 - [c128]Longyuan Li, Jihai Zhang, Junchi Yan, Yaohui Jin, Yunhao Zhang, Yanjie Duan, Guangjian Tian:
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting. AAAI 2021: 8420-8428 - [c127]Chao Xue, Xiaoxing Wang, Junchi Yan, Yonggang Hu, Xiaokang Yang, Kewei Sun:
Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective. AAAI 2021: 10551-10559 - [c126]Yijun Wang, Changzhi Sun, Yuanbin Wu, Hao Zhou, Lei Li, Junchi Yan:
UniRE: A Unified Label Space for Entity Relation Extraction. ACL/IJCNLP (1) 2021: 220-231 - [c125]Zeyuan Chen, Wei Zhang, Junchi Yan, Gang Wang, Jianyong Wang:
Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation. CIKM 2021: 231-240 - [c124]Bo Sun, Junchi Yan, Xiao Zhou, Yinqiang Zheng:
Tuning IR-Cut Filter for Illumination-Aware Spectral Reconstruction From RGB. CVPR 2021: 84-93 - [c123]Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang:
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding. CVPR 2021: 5241-5250 - [c122]Xue Yang, Liping Hou, Yue Zhou, Wentao Wang, Junchi Yan:
Dense Label Encoding for Boundary Discontinuity Free Rotation Detection. CVPR 2021: 15819-15829 - [c121]Yuchen Luo, Yong Zhang, Junchi Yan, Wei Liu:
Generalizing Face Forgery Detection With High-Frequency Features. CVPR 2021: 16317-16326 - [c120]Xu Yang, Cheng Deng, Zhiyuan Dang, Kun Wei, Junchi Yan:
SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network. CVPR 2021: 16775-16784 - [c119]Yijun Wang, Changzhi Sun, Yuanbin Wu, Hao Zhou, Lei Li, Junchi Yan:
ENPAR: Enhancing Entity and Entity Pair Representations for Joint Entity Relation Extraction. EACL 2021: 2877-2887 - [c118]Yuanzhou Chen, Shaobo Cai, Yuxin Wang, Junchi Yan:
Monocular Visual Analysis for Electronic Line Calling of Tennis Games. ICIG (1) 2021: 528-538 - [c117]Xiangxiang Chu, Xiaoxing Wang, Bo Zhang, Shun Lu, Xiaolin Wei, Junchi Yan:
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators. ICLR 2021 - [c116]Chao Chen, Haoyu Geng, Nianzu Yang, Junchi Yan, Daiyue Xue, Jianping Yu, Xiaokang Yang:
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation. ICML 2021: 1606-1616 - [c115]Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Junchi Yan, Hongyuan Zha:
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach. ICML 2021: 11329-11339 - [c114]Xue Yang, Junchi Yan, Qi Ming, Wentao Wang, Xiaopeng Zhang, Qi Tian:
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss. ICML 2021: 11830-11841 - [c113]Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li:
Deep Latent Graph Matching. ICML 2021: 12187-12197 - [c112]Zhongpai Gao, Junchi Yan, Guangtao Zhai, Xiaokang Yang:
Learning Spectral Dictionary for Local Representation of Mesh. IJCAI 2021: 685-692 - [c111]Yunhao Zhang, Junchi Yan:
Neural Relation Inference for Multi-dimensional Temporal Point Processes via Message Passing Graph. IJCAI 2021: 3406-3412 - [c110]Qiang Zhang, Yunzhu Li, Yiyue Luo, Wan Shou, Michael Foshey, Junchi Yan, Joshua B. Tenenbaum, Wojciech Matusik, Antonio Torralba:
Dynamic Modeling of Hand-Object Interactions via Tactile Sensing. IROS 2021: 2874-2881 - [c109]Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha:
HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem. KDD 2021: 637-645 - [c108]Hao Xiong, Junchi Yan, Li Pan:
Contrastive Multi-View Multiplex Network Embedding with Applications to Robust Network Alignment. KDD 2021: 1913-1923 - [c107]Hengrui Zhang, Qitian Wu, Junchi Yan, David Wipf, Philip S. Yu:
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks. NeurIPS 2021: 76-89 - [c106]Ruoyu Cheng, Junchi Yan:
On Joint Learning for Solving Placement and Routing in Chip Design. NeurIPS 2021: 16508-16519 - [c105]Xue Yang, Xiaojiang Yang, Jirui Yang, Qi Ming, Wentao Wang, Qi Tian, Junchi Yan:
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence. NeurIPS 2021: 18381-18394 - [c104]Qitian Wu, Chenxiao Yang, Junchi Yan:
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach. NeurIPS 2021: 19435-19447 - [c103]Runzhong Wang, Zhigang Hua, Gan Liu, Jiayi Zhang, Junchi Yan, Feng Qi, Shuang Yang, Jun Zhou, Xiaokang Yang:
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs. NeurIPS 2021: 21453-21466 - [c102]Longyuan Li, Jian Yao, Li Wenliang, Tong He, Tianjun Xiao, Junchi Yan, David Wipf, Zheng Zhang:
GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction. NeurIPS 2021: 27107-27118 - [i72]Yuanyuan Ding, Junchi Yan, Guoqiang Hu, Jun Zhu:
Cognitive Visual Inspection Service for LCD Manufacturing Industry. CoRR abs/2101.03747 (2021) - [i71]Haikuan Du, Hui Cao, Shen Cai, Junchi Yan, Siyu Zhang:
Spherical Transformer: Adapting Spherical Signal to CNNs. CoRR abs/2101.03848 (2021) - [i70]Xue Yang, Junchi Yan, Qi Ming, Wentao Wang, Xiaopeng Zhang, Qi Tian:
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss. CoRR abs/2101.11952 (2021) - [i69]Longyuan Li, Junchi Yan, Xiaokang Yang, Yaohui Jin:
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting. CoRR abs/2102.00397 (2021) - [i68]Longyuan Li, Jihai Zhang, Junchi Yan, Yaohui Jin, Yunhao Zhang, Yanjie Duan, Guangjian Tian:
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting. CoRR abs/2102.00431 (2021) - [i67]Longyuan Li, Junchi Yan, Haiyang Wang, Yaohui Jin:
Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder. CoRR abs/2102.01331 (2021) - [i66]Mingyu Wu, Boyuan Jiang, Donghao Luo, Junchi Yan, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Xiaokang Yang:
Learning Comprehensive Motion Representation for Action Recognition. CoRR abs/2103.12278 (2021) - [i65]Yuchen Luo, Yong Zhang, Junchi Yan, Wei Liu:
Generalizing Face Forgery Detection with High-frequency Features. CoRR abs/2103.12376 (2021) - [i64]Bo Sun, Junchi Yan, Xiao Zhou, Yinqiang Zheng:
Tuning IR-cut Filter for Illumination-aware Spectral Reconstruction from RGB. CoRR abs/2103.14708 (2021) - [i63]Liangliang Shi, Yang Li, Junchi Yan:
IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse. CoRR abs/2106.00563 (2021) - [i62]Xue Yang, Xiaojiang Yang, Jirui Yang, Qi Ming, Wentao Wang, Qi Tian, Junchi Yan:
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence. CoRR abs/2106.01883 (2021) - [i61]Runzhong Wang, Zhigang Hua, Gan Liu, Jiayi Zhang, Junchi Yan, Feng Qi, Shuang Yang, Jun Zhou, Xiaokang Yang:
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs. CoRR abs/2106.04927 (2021) - [i60]Hengrui Zhang, Qitian Wu, Junchi Yan, David Wipf, Philip S. Yu:
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks. CoRR abs/2106.12484 (2021) - [i59]Yijun Wang, Changzhi Sun, Yuanbin Wu, Hao Zhou, Lei Li, Junchi Yan:
UniRE: A Unified Label Space for Entity Relation Extraction. CoRR abs/2107.04292 (2021) - [i58]Yuanzhou Chen, Shaobo Cai, Yuxin Wang, Junchi Yan:
Monocular Visual Analysis for Electronic Line Calling of Tennis Games. CoRR abs/2107.09255 (2021) - [i57]Ning Zhang, Junchi Yan:
Melody Structure Transfer Network: Generating Music with Separable Self-Attention. CoRR abs/2107.09877 (2021) - [i56]Tianyao He, Wenxuan Liu, Chen Gong, Junchi Yan, Ning Zhang:
Music Plagiarism Detection via Bipartite Graph Matching. CoRR abs/2107.09889 (2021) - [i55]Qiang Zhang, Yunzhu Li, Yiyue Luo, Wan Shou, Michael Foshey, Junchi Yan, Joshua B. Tenenbaum, Wojciech Matusik, Antonio Torralba:
Dynamic Modeling of Hand-Object Interactions via Tactile Sensing. CoRR abs/2109.04378 (2021) - [i54]Zeyuan Chen, Wei Zhang, Junchi Yan, Gang Wang, Jianyong Wang:
Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation. CoRR abs/2109.11790 (2021) - [i53]Wen Qian, Xue Yang, Silong Peng, Junchi Yan, Xiujuan Zhang:
RSDet++: Point-based Modulated Loss for More Accurate Rotated Object Detection. CoRR abs/2109.11906 (2021) - [i52]Xiaoxing Wang, Xiangxiang Chu, Junchi Yan, Xiaokang Yang:
DAAS: Differentiable Architecture and Augmentation Policy Search. CoRR abs/2109.15273 (2021) - [i51]Qitian Wu, Chenxiao Yang, Junchi Yan:
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach. CoRR abs/2110.04514 (2021) - [i50]Xiaoxing Wang, Wenxuan Guo, Junchi Yan, Jianlin Su, Xiaokang Yang:
ZARTS: On Zero-order Optimization for Neural Architecture Search. CoRR abs/2110.04743 (2021) - [i49]Ruoyu Cheng, Junchi Yan:
On Joint Learning for Solving Placement and Routing in Chip Design. CoRR abs/2111.00234 (2021) - [i48]Xue Yang, Yue Zhou, Junchi Yan:
AlphaRotate: A Rotation Detection Benchmark using TensorFlow. CoRR abs/2111.06677 (2021) - [i47]Ruoxin Chen, Jie Li, Junchi Yan, Ping Li, Bin Sheng:
Input-Specific Robustness Certification for Randomized Smoothing. CoRR abs/2112.12084 (2021) - 2020
- [j27]Bin Liu, Mingyu Wu, Minze Tao, Qin Wang, Luye He, Guoliang Shen, Kai Chen, Junchi Yan:
Video Content Analysis for Compliance Audit in Finance and Security Industry. IEEE Access 8: 117888-117899 (2020) - [j26]Junchi Yan, Xiaoyong Pan, Liangda Li, Changsheng Li, Peng Cui, Chao Ma:
IEEE Access Special Section: Sequential Data Modeling and Its Emerging Applications. IEEE Access 8: 210167-210170 (2020) - [j25]Lifang Wu, Zhou Yang, Qi Wang, Meng Jian, Boxuan Zhao, Junchi Yan, Chang Wen Chen:
Fusing motion patterns and key visual information for semantic event recognition in basketball videos. Neurocomputing 413: 217-229 (2020) - [j24]Zhe Ren, Junchi Yan, Xiaokang Yang, Alan L. Yuille, Hongyuan Zha:
Unsupervised learning of optical flow with patch consistency and occlusion estimation. Pattern Recognit. 103: 107191 (2020) - [j23]Zhe Ren, Wenhan Luo, Junchi Yan, Wenlong Liao, Xiaokang Yang, Alan L. Yuille, Hongyuan Zha:
STFlow: Self-Taught Optical Flow Estimation Using Pseudo Labels. IEEE Trans. Image Process. 29: 9113-9124 (2020) - [c101]Tianzhe Wang, Zetian Jiang, Junchi Yan:
Multiple Graph Matching and Clustering via Decayed Pairwise Matching Composition. AAAI 2020: 1660-1667 - [c100]Xuehui Wang, Qing Wang, Yuzhi Zhao, Junchi Yan, Lei Fan, Long Chen:
Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning. ACCV (2) 2020: 268-285 - [c99]Maosen Li, Cheng Deng, Tengjiao Li, Junchi Yan, Xinbo Gao, Heng Huang:
Towards Transferable Targeted Attack. CVPR 2020: 638-646 - [c98]Tianshu Yu, Junchi Yan, Baoxin Li:
Determinant Regularization for Gradient-Efficient Graph Matching. CVPR 2020: 7121-7130 - [c97]Muli Yang, Cheng Deng, Junchi Yan, Xianglong Liu, Dacheng Tao:
Learning Unseen Concepts via Hierarchical Decomposition and Composition. CVPR 2020: 10245-10253 - [c96]Zixuan Chen, Zhihui Xie, Junchi Yan, Yinqiang Zheng, Xiaokang Yang:
Layered Neighborhood Expansion for Incremental Multiple Graph Matching. ECCV (10) 2020: 251-267 - [c95]Ning Zhang, Junchi Yan:
Rethinking the Defocus Blur Detection Problem and a Real-Time Deep DBD Model. ECCV (10) 2020: 617-632 - [c94]Jian Hu, Hongya Tuo, Chao Wang, Lingfeng Qiao, Haowen Zhong, Junchi Yan, Zhongliang Jing, Henry Leung:
Discriminative Partial Domain Adversarial Network. ECCV (27) 2020: 632-648 - [c93]Jianchao Zhu, Liangliang Shi, Junchi Yan, Hongyuan Zha:
AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning. ECCV (10) 2020: 633-649 - [c92]Xue Yang, Junchi Yan:
Arbitrary-Oriented Object Detection with Circular Smooth Label. ECCV (8) 2020: 677-694 - [c91]Yijun Wang, Changzhi Sun, Yuanbin Wu, Junchi Yan, Peng Gao, Guotong Xie:
Pre-training Entity Relation Encoder with Intra-span and Inter-span Information. EMNLP (1) 2020: 1692-1705 - [c90]Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li:
Learning deep graph matching with channel-independent embedding and Hungarian attention. ICLR 2020 - [c89]Yiren Li, Zheng Huang, Junchi Yan, Yi Zhou, Fan Ye, Xianhui Liu:
GFTE: Graph-Based Financial Table Extraction. ICPR Workshops (2) 2020: 644-658 - [c88]Junjie Wang, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenjie Zhang, Hongyuan Zha:
Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning. ICPR 2020: 1859-1866 - [c87]Zhexi Zhang, Wei Zhu, Junchi Yan, Peng Gao, Guotong Xie:
Automatic Student Network Search for Knowledge Distillation. ICPR 2020: 2446-2453 - [c86]Xiaoxing Wang, Chao Xue, Junchi Yan, Xiaokang Yang, Yonggang Hu, Kewei Sun:
MergeNAS: Merge Operations into One for Differentiable Architecture Search. IJCAI 2020: 3065-3072 - [c85]Junchi Yan, Shuang Yang, Edwin R. Hancock:
Learning for Graph Matching and Related Combinatorial Optimization Problems. IJCAI 2020: 4988-4996 - [c84]Guolong Wang, Zheng Qin, Junchi Yan, Liu Jiang:
Learning to Select Elements for Graphic Design. ICMR 2020: 91-99 - [c83]Xu Yang, Cheng Deng, Kun Wei, Junchi Yan, Wei Liu:
Adversarial Learning for Robust Deep Clustering. NeurIPS 2020 - [c82]Runzhong Wang, Junchi Yan, Xiaokang Yang:
Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning. NeurIPS 2020 - [c81]Shaofeng Zhang, Meng Liu, Junchi Yan:
The Diversified Ensemble Neural Network. NeurIPS 2020 - [i46]Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha:
Learning Structured Communication for Multi-agent Reinforcement Learning. CoRR abs/2002.04235 (2020) - [i45]Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha:
Hyper-Meta Reinforcement Learning with Sparse Reward. CoRR abs/2002.04238 (2020) - [i44]