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2019
会议

1 . Hai Zhuge, Xiaoping Sun . Semantics, knowledge, and grids at the age of big data and AI . Concurrency and Computation: Practice and Experience 31(3) (2019) .

2 . Jingqiang Chen, Hai Zhuge . Extractive summarization of documents with images based on multi-modal RNN . Future Generation Comp. Syst. 99: 186-196 (2019) .

3 . Automatic generation of related work through summarizing citations . Jingqiang Chen, Hai Zhuge . Concurrency and Computation: Practice and Experience 31(3) (2019) .

4 . Chengpeng Chen, Weiqing Min, Xue Li, Shuqiang Jiang . Hybrid incremental learning of new data and new classes for hand-held object recognition . Journal of Visual Communication and Image Representation, 58: 138-148, 2019 .

5 . Erbo Li , Hanlin Mo , Dong Xu, and Hua Li . Image Projective Invariants . IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 41, NO. 5, MAY 2019 .

6 . He Zhang,Hanlin Mo,You Hao,Qi Li,Shirui Li,Hua Li . Fast and efficient calculations of structural invariants of chirality . Pattern Recognition Letters,128(2019)270-277 .

7 . Kongming Liang, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen . Unifying Visual Attribute Learning with Object Recognition in a Multiplicative Framework . IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(7):1747 - 1760, 2019 .

8 . S. Taghanaki, Y. Zheng, S. Kevin Zhou, et al. and Ghassan Hamarneh . Combo loss: Handling input and output imbalance in multi-organ segmentation . Comp. Med. Imag. and Graph., Vol. 75, pp. 24-33, 2019 .

9 . Shuhuan Mei, Weiqing Min, Hua Duan, Shuqiang Jiang . Instance-level object retrieval via deep region CNN . Multimedia Tools and Applications, 78(10): 13247-13261, 2019 .

10 . Shuqiang Jiang, Weiqing Min, Linhu Liu, Zhengdong Luo . Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition . IEEE Trans. on Image Processing, 29(1): 265-276, 2019 .

11 . Shuqiang Jiang, Weiqing Min, Shuhuan Mei . Hierarchy-Dependent Cross-Platform Multi-View Feature Learning for Venue Category Prediction . IEEE Transactions on Multimedia, 21(6): 1609–1619, 2019 .

12 . Shuzhe Wu, Meina Kan, Shiguang Shan and Xilin Chen . Hierarchical Attention for Part-Aware Face Detection . International Journal of Computer Vision (IJCV), vo. 127, no. 6-7, pp 560–578, June 2019 .

13 . Thapana Boonchoo, Xiang Ao, Qing He . Multi-Aspect Embedding for Attribute-Aware Trajectories . Symmetry 11(9): 1149, 2019 .

14 . Weiqing Min, Shuhuan Mei, Linhu Liu, Yi Wang, and Shuqiang Jiang . Multi-Task Deep Relative Attribute Learning for Visual Urban Perception . IEEE Trans. on Image Processing, 29(1): 657-669, 2019 .

15 . Weiqing Min,Shuqiang Jiang, Linhu Liu,Yong Rui and Ramesh Jain . A Survey on Food Computing . ACM Computing Surveys (CSUR), 52(2): 92:1–92:36, 2019 .

16 . Xiang Ao, Haoran Shi, Jin Wang, Luo Zuo, Hongwei Li, Qing He . Large-Scale Frequent Episode Mining from Complex Event Sequences with Hierarchies . ACM TIST 10(4): 36:1-36:26, 2019 .

17 . Xiaoyi Deng, Fuzhen Zhuang, Zhiguo Zhu . Neural variational collaborative filtering with side information for top-K recommendation . Int. J. Machine Learning & Cybernetics, 10(11): 3273-3284, 2019 .

18 . Yongchun Zhu, Fuzhen Zhuang*, Jindong Wang, Jingwu Chen, Zhiping Shi, Wenjuan Wu, Qing He . Multi-Representation Adaptation Network for Cross-domain Image Classification . Neural Networks, 119:214-221, 2019 .

19 . Yuanbo Xu, Yongjian Yang, Jiayu Han, En Wang, Fuzhen Zhuang, Jingyuan Yang, Hui Xiong . NeuO: Exploiting the sentimental bias between ratings and reviews with neural networks . Neural Networks, 111: 77-88, 2019 .

20 . Zhao Zhang, Fuzhen Zhuang*, Xuebing Li, Zhengyu Niu, Jia He, Qing He, Hui Xiong . Knowledge Triple Mining via Multi-Task Learning . Information Systems, 80: 64–75, 2019 .

21 . Zhenzhen Gu, Songmao Zhang, Cungen Cao . Reasoning and querying web-scale open data based on DL-LiteA in a divide-and-conquer way . J. Web Semant. 55: 122-144 (2019) .

22 . 李 琪 , 杨文浩 ,侯亚丽 ,王向东 ,李 华 . 短道速滑运动中的轨迹建模 . 图学学报,2019年2月第40卷第1期 .

23 . 杨郑鑫,李京谕,胡镓伟,冯洋 . 基于增量训练的维汉神经机器翻译系统 . 厦门大学学报(自然科学版) .

24 . Hu Han, Jie Li, Anil Jain, Shiguang Shan, Xilin Chen . Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning . IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 10, pp. 2333-2348, Oct. 1, 2019 .

25 . Haofu Liao, Wei-An Lin, S. Kevin Zhou, Jiebo Luo . Adn: Artifact disentanglementnetwork for unsupervised metal artifact reduction . IEEE Transactions onMedical Imaging (2019), vol. 39, no. 3, pp. 634–643 .

26 . Xiangyang Li, Shuqiang Jiang . Know More Say Less: Image Captioning Based on Scene Graphs . IEEE Transactions on Multimedia, vol.21, no.8, pp.2117-2130, Aug.2019 .

27 . Jia He, Fuzhen Zhuang, Yanchi Liu, Qing He, Fen Lin . Bayesian dual neural networks for recommendation . Frontiers Comput. Sci. 13(6): 1255-1265, 2019 .

28 . Ming Huang, Fuzhen Zhuang, Xiao Zhang, Xiang Ao, Zhengyu Niu, Min-Ling Zhang, Qing He . Supervised representation learning for multi-label classification . Machine Learning, 108(5): 747-763, 2019 .

29 . Thapana Boonchooa, Xiang Ao, Yang Liu, Weizhong Zhao, Fuzhen Zhuang, Qing He . Grid-based DBSCAN: Indexing and Inference . Pattern Recognition (PR), 90 : 271-284, 2019 .

30 . Zhenliang He, Wangmeng Zuo, Meina Kan, Shiguang Shan and Xilin Chen . AttGAN: Facial Attribute Editing by Only Changing What You Want . IEEE Transactions on Image Processing, vol. 28, no. 11, pp. 5464 – 5478, 20 May 2019 .

31 . Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang, Yuan Yao . From Social to Individuals:a Parsimonious Path of Multi-Level Models for Crowdsourced Preference Aggregation . IEEE Transactions on Pattern Analysis and Machine Intelligence,vol. 41, no. 4, pp. 844-856, Apr. 2019 .

期刊

1.Chao Huang, Hu Han, Qingsong Yao, Shankuan Zhu, S. Kevin Zhou3D U2-Net: A 3D Universal U-Net for Multi-Domain Medical Image SegmentationMICCAI 2019

2.Cheng Liu, Jingjing Gu, Zujia Yan, Fuzhen Zhuang, Yunyun WangSDC-causing Error Detection Based on Lightweight Vulnerability PredictionACML, PP:1049-1064, 2019

3.Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Victor Sheng, Jiajie Xu, Fuzhen Zhuang, Junhua Fang, Xiaofang ZhouGraph Contextualized Self-Attention Network for Session-based RecommendationIJCAI, PP: 3940-3946, 2019

4.Chuan Qin, Hengshu Zhu, Chen Zhu, Tong Xu, Fuzhen Zhuang, Chao Ma, Jingshuai Zhang, Hui XiongDuerQuiz: A Personalized Question Recommender System for Intelligent Job InterviewKDD, 2019

5.Chunpu Xu, Wei Zhao, Min Yang, Xiang Ao, Wangrong Cheng, Jinwen TianA Unified Generation-Retrieval Framework for Image CaptioningCIKM, 2019

6.Dongbo Xi, Fuzhen Zhuang*, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing HeModelling of Bi-directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-in IdentificationAAAI, PP: 5458-5465, 2019

7.Fei Yi, Zhiwen Yu, Fuzhen Zhuang, Bin GuoNeural Network based Continuous Conditional Random Field for Fine-grained Crime PredictionIJCAI, 2019

8.Feiyang Pan, Qingpeng Cai, An-Xiang Zeng, Chun-Xiang Pan, Qing Da, Hualin He, Qing He, Pingzhong TangPolicy Optimization with Model-based ExplorationsAAAI, PP: 4675-4682, 2019

9.Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing HePolicy Gradients for Contextual RecommendationsWWW, PP: 1421-1431, 2019

10.Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing HeWarm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddingsthe 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), PP: 695-704, 2019

11.Haofu Liao, Wei-An Lin, Jianbo Yuan, S. Kevin Zhou, Jiebo LuoArtifact Disentanglement Network for Unsupervised Metal Artifact ReductionMICCAI 2019

12.Haofu Liao, Wei-An Lin, Jiarui Zhang, Jingdan Zhang, Jiebo Luo, S. Kevin ZhouMultiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and TriangulationCVPR 2019: 12638-12647

13.Haofu Liao, Wei-An Lin, Zhimin Huo, Levon Vogelsang, William J. Sehnert, S. Kevin Zhou, Jiebo LuoGenerative Mask Pyramid Network forCT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram CorrectionMICCAI 2019

14.Jiejie Zhao, Bowen Du, Leilei Sun, Fuzhen Zhuang, Weifeng Lv, Hui XiongMultiple Relational Attention Network for Multi-task LearningKDD, 2019

15.Junyu Luo, Min Yang, Xiang Ao, Zhou Zhao, Ying ShenCross-modal Image-Text Retrieval with Multitask LearningCIKM, 2019

16.Kangli Zi, Xingwu Sun, Yanan Cao, Shi Wang, Xiaoming Feng, Zhaobo Ma & Cungen CaoAnswer-focused and Position-aware Neural Network for Transfer Learning in Question GenerationIn 12th International Conference on Knowledge Science, Engineering and Management (KSEM), 339-352, Springer, 2019.

17.Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang, Qing HeRead Like HER: Human-inspired Extractive SummarizationEMNLP, 2019

18.Ling Luo, Xiang Ao, Yan Song, Jinyao Li, Xiaopeng Yang, Qing He, Dong YuUnsupervised Neural Aspect Extraction with SememesIJCAI, PP: 5123-5129, 2019

19.Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor Sheng, Xiaofang ZhaoWhere to Go Next: A Spatio-Temporal Gated Network for Next POI RecommendationAAAI, PP: 5877-5884, 2019

20.Qingnan Jiang, Lei Chen, Ruifeng Xu, Xiang Ao, Min YangA Challenge Dataset and Effective Models for Aspect-Based Sentiment AnalysisEMNLP, 2019

21.Wei-An Lin, Haofu Liao, Cheng Peng, Xiaohang Sunm, Jingdan Zhang, Jiebo Luo, Rama Chellappa, Shaohua Kevin ZhouDuDoNet: Dual Domain Network for CT Metal Artifact ReductionCVPR 2019: 10512-10521

22.Xiao Zhang, Fuzhen Zhuang, Wenzhong Li, Haochao Ying, Hui Xiong, Sanglu LuInferring Mood Instability via Smartphone Sensing: a Multi-View Learning ApproachACM MM, PP: 1401-1409, 2019

23.Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui XiongThe Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network ApproachKDD, PP: 1625-1633, 2019

24.Yixuan Cao, Dian Chen, Hongwei Li, Ping LuoNested Relation Extraction with Iterative Neural NetworkCIKM, 2019

25.Yongchun Zhu, Fuzhen Zhuang*, Deqing WangAligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple SourcesAAAI, 2019

26.Yongchun Zhu, Fuzhen Zhuang, Jingyuan Yang, Xi Yang, Qing HeAdaptively Transfer Category-Classifier for Handwritten Chinese Character RecognitionPAKDD, PP(1) : 110-122, 2019

27.Yugang Ji, Chuan Shi, Fuzhen Zhuang, Philip S YuIntegrating Topic Model and Heterogeneous Information Network for Aspect Mining with Rating BiasPAKDD, 2019

28.Yuyang Ye, Hengshu Zhu, Tong Xu, Fuzhen Zhuang, Runlong Yu, Hui XiongIdentifying High Potential Talent: A Neural Network based Dynamic Social Profiling ApproachICDM, 2019

29.Zeju Li, Han Li, Hu Han, Gonglei Shi, Jiannan Wang, S. Kevin ZhouEncoding CT Anatomy Knowledge for Unpaired Chest X-ray Image DecompositionMICCAI 2019

30.Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li, Jie ZhouIncremental Transformer with Deliberation Decoder for Document Grounded Conversationsthe 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019)

31.Zhenzhen Gu, Cungen Cao, Songmao ZhangAn Expressive Sub-language of OWL 2 Full for Domain Meta-modelingIn Proceedings of the 32nd International Description Logic Workshop, 2019

32.Zhenzhen Gu, Songmao Zhang, Cungen CaoReflections on: Reasoning and querying web-scale open data based on DL-LiteA in a divide-and-conquer wayJournal Track of ISWC 2019

33.Huajie Jiang, Ruiping Wang, Shiguang Shan, Xilin ChenTransferable Contrastive Network for Generalized Zero-Shot LearningIEEE International Conference on Computer Vision, pp. 9764-9773, Seoul, Korea, Oct. 27-Nov. 2, 2019

34.Xinqian Gu, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin ChenTemporal Knowledge Propagation for Image-to-Video Person Re-identificationIEEE International Conference on Computer Vision, October 2019.

35.Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng and Jie ZhouEnhancing Context Modeling with a Query-Guided Capsule Network for Document-level NMT2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019)

36.Haiyang Xue, Yang Feng, Di You, Wen Zhang, Jingyu LiNeural Machine Translation with Bilingual History Involved AttentionThe 8th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2019)

37.Jie Zhu, Shugen Wang,Yanru Wu, Meijing Guan, and Yang FengA New Algorithm for Component Decomposition and Type Recognition of Tibetan SyllableThe 8th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2019)

38.Shuhao Gu, Yang FengImproving Multi-Head Attention with CapsuleNetworksThe 8th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2019)

39.Weiqing Min, Linhu Liu, Zhengdong Luo, Shuqiang JiangIngredient-Guided Cascaded Multi-Attention Network for Food RecognitionACM International Conference on Multimedia, Nice, France, October 21-25, 2019

40.Xinhang Song, Bohan Wang, Gongwei Chen, Shuqiang JiangMUCH: MUtual Coupling enHancement of scene recognition and dense captioningACM International Conference on Multimedia, Nice, France, October 21-25, 2019

41.Xinhang Song, Sixian Zhang, Yuyun Hua, Shuqiang JiangAberrance-aware gradient-sensitive attentions for scene recognition with RGB-D videosACM International Conference on Multimedia, Nice, France, October 21-25, 2019

42.Xuejing Liu, Liang Li, Shuhui Wang, Zheng-Jun Zha, Li Su, Qingming HuangKnowledge-guided Pairwise Reconstruction Network for Weakly Supervised Referring Expression GroundingACM International Conference on Multimedia, pp.539-547, Nice, France, October 21-25, 2019

43.Yiling Wu, Shuhui Wang, Guoli Song, and Qingming HuangLearning Fragment Self-Attention Embeddings for Image-Text MatchingACM International Conference on Multimedia, pp. 2088-2096, Nice, France, October 21-25, 2019

44.Yongqing Zhu, Shuqiang JiangAttention-based Densely Connected LSTM for Video CaptioningACM International Conference on Multimedia, Nice, France, October 21-25, 2019

45.李京谕, 冯洋基于联合注意力机制的篇章级机器翻译The Eighteenth China National Conference on Computational Linguistics (CCL 2019)

46.Fangyi Zhang, Bingpeng Ma, Hong Chang, Shiguang Shan and Xilin ChenRelation-aware Multiple Attention Siamese Networks for Robust Visual TrackingBritish Machine Vision Conference (BMVC), September 2019

47.Fengling Mao, Bingpeng Ma, Hong Chang, Shiguang Shan and Xilin ChenMS-GAN: Text to Image Synthesis with Attention-Modulated Generators and Similarity-aware DiscriminatorsBritish Machine Vision Conference, September 2019

48.Hongkai Zhang, Hong Chang, Bingpeng Ma, Shiguang Shan and Xilin ChenCascade RetinaNet: Maintaining Consistency for Single-Stage Object DetectionBritish Machine Vision Conference, September 2019

49.Xiaoyi Yin, Xinqian Gu, Hong Chang, Bingpeng Ma and Xilin ChenAttribute-aware Pedestrian Image EditingInternational Conference on Image and Graphics, August 2019

50.Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie ZhouRetrieving Sequential Information for Non-Autoregressive Neural Machine Translationthe 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019)

51.Lei Shen, Yang Feng, Haolan ZhanModeling Semantic Relationship in Multi-turn Conversations withHierarchical Latent Variablesthe 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019)

52.Liqiang Bao, Bingpeng Ma, Hong Chang, Xilin ChenPreserving Structural Relationships for Person Re-identificationInternational Workshop conjunction with IEEE International Conference on Multimedia and Expo, pp.120-125, July 2019

53.Wen Zhang, Yang Feng, Fandong Meng, Di You, Qun LiuBridging the Gap between Training and Inference for Neural Machine Translationthe 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019)

54.Guoqing Wang, Hu Han, Shiguang Shan, Xilin ChenImproving Cross-database Face Presentation Attack Detection via Adversarial Domain AdaptationIAPR International Conference on Biometrics, pp. 1-8, Crete, Greece, June 2019

55.Junbao Zhuo, Shuhui Wang, Shuhao Cui, Qingming HuangUnsupervised Open Domain Recognition by Semantic Discrepancy MinimizationIEEE Conference on Computer Vision and Pattern Recognition, pp.750-759, Long Beach, California, USA, June 2019

56.Kai Xu, Longyin Wen, Guorong Li, Liefeng Bo, Qingming HuangSpatiotemporal CNN for Video Object SegmentationIEEE Conference on Computer Vision and Pattern Recognition, pp.1379-1388, Long Beach, California, USA, June 2019

57.Liqiang Bao, Bingpeng Ma, Hong Chang, Xilin ChenMasked Graph Attention Network for Person Re-identificationInternational Workshop conjunction with IEEE Computer Vision and Pattern Recognition, Long Beach, California, USA, June 2019

58.Mengying Hu, Hu Han, Shiguang Shan, Xilin ChenWeakly Supervised Image Classification through Noise RegularizationIEEE Conference on Computer Vision and Pattern Recognition, pp. 11517-11525, Long Beach, California, USA, June 2019

59.Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, Yuan YaoDeep Robust Subjective Visual Property Prediction in CrowdsourcingIEEE Conference on Computer Vision and Pattern Recognition, pp.8993-9001, Long Beach, California, USA, June 2019

60.Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan, Xilin ChenInteraction-and-Aggregation Network for Person Re-identificationIEEE Conference on Computer Vision and Pattern Recognition, pp.9317-9326, Long Beach, California, USA, June 2019

61.Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan, Xilin ChenVRSTC: Occlusion-Free Video Person Re-IdentificationIEEE Conference on Computer Vision and Pattern Recognition, pp.7183-7192, Long Beach, California, USA, June 2019

62.Shuhao Gu, Yang Feng, Qun LiuImproving Domain Adaptation Translation with Domain Invariant and Specific Information2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2019)

63.Wenbin Wang, Ruiping Wang, Shiguang Shan, Xilin ChenExploring Context and Visual Pattern of Relationship for Scene Graph GenerationIEEE Conference on Computer Vision and Pattern Recognition, pp.8180–8189, Long Beach, California, USA, June 2019

64.Xiaoyan Li, Meina Kan, Shiguang Shan, Xilin ChenWeakly Supervised Object Detection with Segmentation CollaborationIEEE International Conference on Computer Vision, pp. 9735-9744, June 2019

65.Xijun Wang, Meina Kan, Shiguang Shan, Xilin ChenFully Learnable Group Convolution for Acceleration of Deep Neural NetworksIEEE Conference on Computer Vision and Pattern Recognition, pp.9049-9058, Long Beach, California, USA, June 2019

66.Xuejing Liu, Liang Li, Shuhui Wang, Zheng-Jun Zha, Dechao Meng, Qingming HuangAdaptive Reconstruction Network for Weakly Supervised Referring Expression GroundingIEEE International Conference on Computer Vision, pp. 2611-2620, June 2019

67.Xuesong Niu, Hu Han, Songfan Yang, Yan Huang, Shiguang ShanLocal Relationship Learning With Person-Specific Shape Regularization for Facial Action Unit DetectionIEEE Conference on Computer Vision and Pattern Recognition, pp. 11917-11926, Long Beach, California, USA, June 2019.

68.Yong Li, Jiabei Zeng, Shiguang Shan, Xilin ChenSelf-supervised Representation Learning from Videos for Facial Action Unit DetectionIEEE Conference on Computer Vision and Pattern Recognition, pp.10924-10933, Long Beach, California, USA, June 2019

69.Zhe Wu, Li Su, Qingming HuangCascaded Partial Decoder for Fast and Accurate Salient Object DetectionIEEE Conference on Computer Vision and Pattern Recognition, pp.3907-3916, Long Beach, California, USA, June 2019

70.Zhenliang He, Meina Kan, Shiguang Shan, Xilin ChenS2GAN: Share Aging Factors across Ages and Share Aging Trends among IndividualsIEEE International Conference on Computer Vision, pp. 9440-9449, June 2019

71.Jiancheng Cai, Hu Han, Shiguang Shan, and Xilin ChenFCSR-GAN: End-to-end Learning for Joint Face Completion and Super-resolutionIEEE International Conference on Automatic Face and Gesture Recognition, pp. 1-8, Lille, France, May 2019

72.Mingjie He, Jie Zhang, Shiguang Shan, Meina Kan, Xilin ChenDeformable Face Net: Learning Pose Invariant Feature with Pose Aware Feature Alignment for Face RecognitionIEEE International Conference on Automatic Face and Gesture Recognition, Lille, France, May 2019

73.Ruibing Hou, Hong Chang, Bingpeng Ma and Xilin ChenVideo Prediction with Bidirectional Constraint NetworkIEEE International Conference on Automatic Face and Gesture Recognition, pp. 1-8, Lille, France, May 2019

74.Ruibing Hou, Hong Chang, Bingpeng Ma and Xilin ChenVideo Prediction with Bidirectional Constraint NetworkIEEE International Conference on Automatic Face and Gesture Recognition, May 2019

75.Shikang Yu, Hu Han, Shiguang Shan, Antitza Dantcheva, and Xilin ChenImproving Face Sketch Recognition via Adversarial Sketch-Photo TransformationIEEE International Conference on Automatic Face and Gesture Recognition, pp. 1-8, Lille, France, May 2019

76.Shuang Yang, Yuanhang Zhang, Dalu Feng, Mingmin Yang, Chenhao Wang, Jingyun Xiao, Keyu Long, Shiguang Shan, Xilin ChenLRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the WildIEEE International Conference on Automatic Face and Gesture Recognition, pp. 1-8, Lille, France, May 2019

77.Xuesong Niu, Xingyuan Zhao, Hu Han, Abhijit Das, Antitza Dantcheva, Shiguang Shan, Xilin ChenRobust Remote Heart Rate Estimation from Face Utilizing Spatial-temporal AttentionIEEE International Conference on Automatic Face and Gesture Recognition, pp. 1-8, Lille, France, May 2019

78.Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huangearning Personalized Attribute Preference via Multi-task AUC OptimizationAAAI Conference on Artificial Intelligence, Honolulu, Hawaii, USA, February 2019