The Center for Research on Intelligent Perception and Computing

1. Kai Niu, Yan Huang, Wanli Ouyang, Liang Wang, “Improving Description-Based Person Re-Identification by Multi-Granularity Image-Text Alignments,” IEEE Trans. on Image Processing, vol. 29, pp. 5542-5556, 2020.
2. Jingyu Liu, Wei Wang, Liang Wang, Ming-Hsuan Yang, “Attribute-Guided Attention for Referring Expression Generation and Comprehension,” IEEE Trans. on Image Processing, vol. 29, pp. 5244-5258, 2020.
3. Zhen Jia, Zhang Zhang, Liang Wang, Caifeng Shan, Tieniu Tan, “Deep Unbiased Embedding Transfer for Zero-Shot Learning,” IEEE Trans. on Image Processing, vol. 29, pp. 1958-1971, 2020.
4. Yuqi Zhang, Yongzhen Huang, Shiqi Yu, Liang Wang, “Cross-View Gait Recognition by Discriminative Feature Learning,” IEEE Trans. on Image Processing, vol. 29, pp. 1001-1015, 2020.
5. Fei Liu, Shubo Zhou, Yunlong Wang, Guangqi Hou, Zhenan Sun, Tieniu Tan, “Binocular Light-Field: Imaging Theory and Occlusion-Robust Depth Perception Application,” IEEE Trans. on Image Processing, vol. 29, pp. 1628-1640, 2020.
6. Yuxi Wang, Zhaoxiang Zhang, Wangli Hao, Chunfeng Song, “Multi-Domain Image-to-Image Translation via a Unified Circular Framework,” IEEE Trans. on Image Processing, vol. 30, pp. 670-684, 2020.
7. Yuxi Wang, Zhaoxiang Zhang, Wangli Hao, Chunfeng Song, “Attention Guided Multiple Source and Target Domain Adaptation,” IEEE Trans. on Image Processing, vol. 30, pp. 892-906, 2020.
8. Wangli Hao, Ian Max Andolina, Wei Wang, Zhaoxiang Zhang, “Biologically inspired visual computing: the state of the art,” Frontiers of Computer Science, vol. 15, no. 1, 2020.
9. Yunlong Wang, Fei Liu, Kunbo Zhang, Zilei Wang, Zhenan Sun, Tieniu Tan, “High-fidelity View Synthesis for Light Field Imaging with Extended Pseudo 4DCNN,” IEEE Trans. on Computational Imaging, vol. 6, pp. 830-842, 2020.
10. Weining Wang, Qi Li, Liang Wang, “Robust Object Tracking via Information Theoretic Measures,” International Journal of Automation and Computing, vol. 17, no. 5, pp. 652-666, 2020.
11. Xiang Wu, Ran He, Yibo Hu, Zhenan Sun, “Learning an Evolutionary Embedding via Massive Knowledge Distillation,” International Journal of Computer Vision, vol. 128, no. 8-9, pp. 2089-2106, 2020.
12. Yi Li, Huaibo Huang, Jie Cao, Ran He, Tieniu Tan, “Disentangled Representation Learning of Makeup Portraits in the Wild,” International Journal of Computer Vision, vol. 128, no. 8-9, pp. 2166-2184, 2020.
13. Qi Li, Zhenan Sun, Ran He, Tieniu Tan, “A General Framework for Deep Supervised Discrete Hashing,” International Journal of Computer Vision, vol. 128, no. 8-9, pp. 2204-2222, 2020.
14. Xin Zheng, Yanqing Guo, Huaibo Huang, Yi Li, Ran He, “A Survey of Deep Facial Attribute Analysis,” International Journal of Computer Vision, vol. 128, no. 8-9, pp. 2002-2034, 2020.
15. Jie Cao, Yibo Hu, Hongwen Zhang, Ran He, Zhenan Sun, “Towards High Fidelity Face Frontalization in the Wild,” International Journal of Computer Vision, vol. 128, no. 5, pp. 1485-1504, 2020.
16. Wei Xue, Hong Ai, Tianyu Sun, Chunfeng Song, Yan Huang, Liang Wang, “Frame-GAN: Increasing the frame rate of gait videos with generative adversarial networks,” Neurocomputing, vol. 380, pp. 95-104, 2020.
17. Yangyang Ye, Houjin Chen, Chi Zhang, Xiaoli Hao, Zhaoxiang Zhang, “SARPNET: Shape attention regional proposal network for liDAR-based 3D object detection,” Neurocomputing, vol. 379, pp. 53-63, 2020.
18. Jinde Liu, Zhang Zhang, Caifeng Shan and Tieniu Tan, “Kinematic Skeleton Graph Augmented Network for Human Parsing,” Neurocomputing, vol. 413, pp. 457-470, 2020.
19. Ran He, Jie Cao, Lingxiao Song, Zhenan Sun, Tieniu Tan, “Adversarial Cross-Spectral Face Completion for NIR-VIS Face Recognition,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 42, no. 5, pp. 1025-1037, 2020.
20. Yan Huang, Qi Wu, Wei Wang, Liang Wang, “Image and Sentence Matching via Semantic Concepts and Order Learning,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 42, no. 3, pp. 636-650, 2020.
21. Ya Jing, Junbo Wang, Wei Wang, Liang Wang, Tieniu Tan, “Relational graph neural network for situation recognition,” Pattern Recognition, vol. 108, 2020.
22. Chenyang Si, Ya Jing, Wei Wang, Liang Wang, Tieniu Tan, “Skeleton-based action recognition with hierarchical spatial reasoning and temporal stack learning network,” Pattern Recognition, vol. 107, 2020.
23. Kai Niu, Yan Huang, Liang Wang, “Re-ranking image-text matching by adaptive metric fusion,” Pattern Recognition, vol. 104, 2020.
24. Weining Wang, Yan Huang, Liang Wang, “Long video question answering: A Matching-guided Attention Model,” Pattern Recognition, vol. 102, 2020.
25. Peipei Li, Yibo Hu, Xiang Wu, Ran He, Zhenan Sun, “Deep label refinement for age estimation,” Pattern Recognition, vol. 100, 2020.
26. Xin Zheng, Huaibo Huang, Yanqing Guo, Bo Wang, Ran He, “BLAN: Bi-directional ladder attentive network for facial attribute prediction,” Pattern Recognition, vol. 100, 2020.
27. Zhihang Li, Yibo Hu, Ran He, Zhenan Sun, “Learning disentangling and fusing networks for face completion under structured occlusions,” Pattern Recognition, vol. 99, 2020.
28. Junbo Wang, Wei Wang, Liang Wang, Zhiyong Wang, David Dagan Feng, Tieniu Tan, “Learning visual relationship and context-aware attention for image captioning,” Pattern Recognition, vol. 98, 2020.
29. Caiyong Wang, Yunlong Wang, Yunfan Liu, Zhaofeng He, Ran He, Zhenan Sun, “ScleraSegNet: An Attention Assisted U-Net Model for Accurate Sclera Segmentation,” IEEE Trans. on Biometrics, Behavior, and Identity Science (Tbiom), vol. 2, no. 1, pp. 40-54, 2020.
30. Caiyong Wang, Jawad Muhammad, Yunlong Wang, Zhaofeng He, Zhenan Sun, “Towards Complete and Accurate Iris Segmentation Using Deep Multi-Task Attention Network for Non-Cooperative Iris Recognition,” IEEE Trans. on Information Forensics and Security, vol. 15, pp. 2944-2959, 2020.
31. Yunlian Sun, Jinhui Tang, Zhenan Sun, Massimo Tistarelli, “Facial Age and Expression Synthesis Using Ordinal Ranking Adversarial Networks,” IEEE Trans. on Information Forensics and Security, vol. 15, pp. 2960-2972, 2020.
32. Yunlian Sun, Jinhui Tang, Xiangbo Shu, Zhenan Sun, Massimo Tistarelli, “Facial Age Synthesis with Label Distribution-Guided Generative Adversarial Network,” IEEE Trans. on Information Forensics and Security, vol. 15, pp. 2679-2691, 2020.
33. Yanbo Fan, Baoyuan Wu, Ran He, Bao-Gang Hu, Yong Zhang, Siwei Lyu, “Groupwise Ranking Loss for Multi-Label Learning,” IEEE Access, vol. 8, pp. 21717-21727, 2020.
34. Jufeng Yang, Xiaoping Wu, Jie Liang, Xiaoxiao Sun, Ming-Ming Cheng, Paul L. Rosin, “Self-Paced Balance Learning for Clinical Skin Disease Recognition,” IEEE Trans. on Neural Networks and Learning Systems, vol. 31, no. 8, pp. 2832-2846, 2020.
35. Zhihang Li, Xu Tang, Xiang Wu, Jingtuo Liu, Ran He “Progressively Refined Face Detection Through Semantics-Enriched Representation Learning,” IEEE Trans. on Information Forensics and Security, vol. 15, pp. 1394-1406, 2020.
36. Qiang Cui, Shu Wu, Qiang Liu, Wen Zhong, Liang Wang, “MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation,” IEEE Trans. on Knowledge and Data Engineering, vol. 32, no. 2, pp. 317-331, 2020.
37. Cairong Zhao, Xinbi Lv, Zhang Zhang, Wangmeng Zuo, Jun Wu and Duoqian Miao, “Deep Fusion Feature Representation Learning With Hard Mining Center-Triplet Loss for Person Re-Identification,”IEEE Trans. on Multimedia (TMM), vol. 22, no.12, pp. 3180 – 3195, 2020.
38. Zhibin Pan, Yiwei Pan, Yidi Wang and Wei Wang, “A New Globally Adaptive K-Nearest Neighbor Classifier Based on Local Mean Optimization,” Soft Computing, 2020.
39. Yiwei Pan, Zhibin Pan, Yikun Wang and Wei Wang, “A New Fast Search Algorithm for Exact K-Nearest Neighbors Based on Optimal Triangle-Inequality-Based Check Strategy,” Knowledge-Based Systems, vol. 189, pp. 105088, 2020.
40. Yan Huang, Jingsong Xu, Qiang Wu, Yi Zhong, Peng Zhang, Zhaoxiang Zhang, “Beyond Scalar Neuron: Adopting Vector-Neuron Capsules for Long-Term Person Re-Identification,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 30, no. 10, pp. 3459-3471, 2020.
41. Qiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang, “Recurrent Prediction With Spatio-Temporal Attention for Crowd Attribute Recognition,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 30, no. 7, pp. 2167-2177, 2020./

1. Caiyong Wang, Yunlong Wang, Boqiang Xu, Yong He, Zhiwei Dong, Zhenan Sun, “A Lightweight Multi-Label Segmentation Network for Mobile Iris Biometrics,” Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 1006-1010, May 2020, Barcelona, Spain.
2. Qi Zhang, Zhen Lei, Zhaoxiang Zhang, Stan Z. Li, “Context-aware attention network for image-text retrieval,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 3533-3542, June 2020, USA.
3. Wenkai Dong, Zhaoxiang Zhang, Chunfeng Song, Tieniu Tan, “Instance guided proposal network for person search,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 2582-2591, June 2020, USA.
4. Zhihang Li, Teng Xi, Jiankang Deng, Gang Zhang, Shengzhao Wen, Ran He, “GP-NAS: Gaussian process based neural architecture search,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 11930-11939, June 2020, USA.
5. Junran Peng, Xingyuan Bu, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan, “Large-scale object detection in the wild from imbalanced multi-labels,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 9706-9715, June 2020, USA.
6. Ya Jing, Wei Wang, Liang Wang, Tieniu Tan, “Cross-modal cross-domain moment alignment network for person search,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 10675-10683, June 2020, USA.
7. Boyan Duan*, Chaoyou Fu*, Yi Li, Xingguang Song, Ran He, “Cross-spectral face hallucination via disentangling independent factors,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 7927-7935, June 2020, USA.
8. Wenkai Dong, Zhaoxiang Zhang, Chunfeng Song, Tieniu Tan, “Bi-Directional Interaction Network for Person Search,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 2836-2845, June 2020, USA.
9. Wentao Jiang, Si Liu, Chen Gao, Jie Cao, Ran He, Jiashi Feng, Shuicheng Yan, “PSGAN: Pose and expression robust spatial-aware GaN for customizable makeup transfer,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 5193-5201, June 2020, USA.
10. Junsong Fan, Zhaoxiang Zhang, Chunfeng Song, Tieniu Tan, “Learning integral objects with intra-class discriminator for weakly-supervised semantic segmentation,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 4282-4291, June 2020, USA.
11. Lijuan Huo, Chunfeng Song, Zhengyi Liu, Zhaoxiang Zhang, “Attentive Part-aware Networks for Partial Person Re-identification,” Proc. International Conference on Pattern Recognition, January 2021, Milan, Italy.
12. Yunlong Wang, Kunbo Zhang, and Zhenan Sun, “A Novel Deep-learning Pipeline for Light Field Image Based Material Recognition,” Proc. International Conference on Pattern Recognition, January 2021, Milan, Italy.
13. Xin Ma, Xiaoqiang Zhou, Huaibo Huang, Zhenhua Chai, Xiaolin Wei, Ran He, “Free-Form Image Inpainting Via Contrastive Attention Network,” Proc. International Conference on Pattern Recognition, January 2021, Milan, Italy.
14. Haoxue Wu, Huaibo Huang, Aijing Yu, Ran He, Zhen Lei, “Exemplar Guided Cross-Spectral Face Hallucination via Mutual Information Disentanglement,” Proc. International Conference on Pattern Recognition, January 2021, Milan, Italy.
15. Rui Wang, Huaibo Huang, Aihua Zheng, Ran He, “Attentional Wavelet Network for Traditional Chinese Painting Transfer,” Proc. International Conference on Pattern Recognition, January 2021, Milan, Italy.
16. Hao Zhu, Yi Li, Feixia Zhu, Aihua Zheng, Ran He, “Let's Play Music: Audio-Driven Performance Video Generation,” Proc. International Conference on Pattern Recognition, January 2021, Milan, Italy.
17. Aihua Zheng, Feixia Zhu, Hao Zhu, Mandi Luo, Ran He, “Talking Face Generation Via Learning Semantic and Temporal Synchronous Landmarks,” Proc. International Conference on Pattern Recognition, January 2021, Milan, Italy.
18. Xiaoqiang Zhou, Junjie Li, Zilei Wang, Ran He, Tieniu Tan, “Image Inpainting with Contrastive Relation Network,” Proc. International Conference on Pattern Recognition, January 2021, Milan, Italy.
19. Yuhe Ding, Xin Ma, Mandi Luo, Aihua Zheng, Ran He, “Unsupervised Contrastive Photo-To-Caricature Translation Based on Auto-Distortion,” Proc. International Conference on Pattern Recognition, January 2021, Milan, Italy.
20. Luanxuan Hou, Jie Cao, Yuan Zhao, Haifeng Shen, Jian Tang, Ran He, “P2 Net: Augmented Parallel-Pyramid Net for Attention Guided Pose Estimation,” Proc. International Conference on Pattern Recognition, January 2021, Milan, Italy.
21. Hui Yuan, Yan Huang, DongBo Zhang, Zerui Chen, Wenlong Cheng, Liang Wang, “VSR++: Improving Visual Semantic Reasoning for Fine-Grained Image-Text Matching,” Proc. International Conference on Pattern Recognition, January 2021, Milan, Italy.
22. Zerui Chen, Yan Huang, Liang Wang, “On the Robustness of 3D Human Pose Estimation,” Proc. International Conference on Pattern Recognition, January 2021, Milan, Italy.
23. Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, Tieniu Tan, “Efficient Super Resolution by Recursive Aggregation,” Proc. International Conference on Pattern Recognition, January 2021, Milan, Italy.
24. Zhen Yang, Chi Zhang, Huiming Guo, Zhaoxiang Zhang, “Manual-Label Free 3D Detection via an Open-Source Simulator,” Proc. International Conference on Pattern Recognition, January 2021, Milan, Italy.
25. Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng, “A Balanced and Uncertainty-Aware Approach for Partial Domain Adaptation,” Proc. European Conference on Computer Vision, pp. 123-140, August 2020, Glasgow, UK.
26. Zerui Chen, Yan Huang, Hongyuan Yu, Bin Xue, Ke Han, Yiru Guo, Liang Wang, “Towards Part-Aware Monocular 3D Human Pose Estimation: An Architecture Search Approach,” Proc. European Conference on Computer Vision, pp. 715-732, August 2020, Glasgow, UK.
27. Weilun Chen, Zhaoxiang Zhang, Xiaolin Hu, Baoyuan Wu, “Boosting Decision-Based Black-Box Adversarial Attacks with Random Sign Flip,” Proc. European Conference on Computer Vision, pp. 276-293, August 2020, Glasgow, UK.
28. Jie Cao, Huaibo Huang, Yi Li, Ran He, Zhenan Sun, “Informative Sample Mining Network for Multi-domain Image-to-Image Translation,” Proc. European Conference on Computer Vision, pp. 404-419, August 2020, Glasgow, UK.
29. Yibo Hu, Xiang Wu, Ran He, “TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search,” Proc. European Conference on Computer Vision, pp. 123-139, August 2020, Glasgow, UK.
30. Chenyang Si, Xuecheng Nie, Wei Wang, Liang Wang, Tieniu Tan, Jiashi Feng, “Adversarial Self-supervised Learning for Semi-supervised 3D Action Recognition,” Proc. European Conference on Computer Vision, pp. 35-51, August 2020, Glasgow, UK.
31. Junsong Fan, Zhaoxiang Zhang, Tieniu Tan, “Employing Multi-estimations for Weakly-Supervised Semantic Segmentation,” Proc. European Conference on Computer Vision, pp. 332-348, August 2020, Glasgow, UK.
32. Chuanchen Luo, Chunfeng Songand Zhaoxiang Zhang, “Generalizing Person Re-Identication byCamera-Aware Invariance Learning andCross-Domain Mixup,” Proc. European Conference on Computer Vision, pp. 224-241, August 2020, Glasgow, UK.
33. Ke Han, Yan Huang, Zerui Chen, Liang Wang, Tieniu Tan, “Prediction and Recovery for Adaptive Low-Resolution Person Re-Identification,” Proc. European Conference on Computer Vision, pp. 193 20209, August 2020, Glasgow, UK.
34. Peipei Li, Huaibo Huang, Yibo Hu, Xiang Wu, Ran He, Zhenan Sun, “Hierarchical Face Aging Through Disentangled Latent Characteristics,” Proc. European Conference on Computer Vision, pp. 86-101, August 2020, Glasgow, UK.
35. Kunbo Zhang, Zhenteng Shen, Yunlong Wang, and Z. Sun, “All-in-Focus Iris Camera with a Great Capture Volume,” Proc. International Joint Conference on Biometrics, September 2020, Houston, USA.
36. Leyuan Wang, Kunbo Zhang, Min Ren, Yunlong Wang, Zhenan Sun, “Recognition Oriented Iris Image Quality Assessment in the Feature Space,” Proc. International Joint Conference on Biometrics, September 2020, Houston, USA.
37. Yu Tian, Kunbo Zhang, Leyuan Wang, and Zhenan Sun, “Face Anti-Spoofing by Learning Polarization Cues in a Real-World Scenario,” Proc. International Conference on Advances in Image Processing (ICAIP), November 2020, Chengdu, China.
38. Huanglin Yu, Ke Chen,Kaiqi Wang,Yanlin Qian, Zhaoxiang Zhang, Kui Jia, “Cascading Convolutional Color Constancy,” Proc. AAAI Conference on Artificial Intelligence, pp. 12725-12732, February 2020, New York, USA.
39. Ya Jing, Chenyang Si, Junbo Wang, Wei Wang, Liang Wang, Tieniu Tan, “Pose-Guided Multi-Granularity Attention Network for Text-Based Person Search,” Proc. AAAI Conference on Artificial Intelligence, pp. 11189-11196, February 2020, New York, USA.
40. Qi Li*, Yunfan Liu*, Zhenan Sun, “Age Progression and Regression with Spatial Attention Modules,” Proc. AAAI Conference on Artificial Intelligence, pp. 11378-11385, February 2020, New York, USA.
41. Linjiang Huang, Yan Huang, Wanli Ouyang and Liang Wang, “Part-Level Graph Convolutional Network for Skeleton-Based Action Recognition,” Proc. AAAI Conference on Artificial Intelligence, pp. 11045-11052, February 2020, New York, USA.
42. Linjiang Huang, Yan Huang, Wanli Ouyang and Liang Wang, “Relational Prototypical Network for Weakly Supervised Temporal Action Localization,” Proc. AAAI Conference on Artificial Intelligence, pp. 11053-11060, February 2020, New York, USA.
43. Min Ren, Yunlong Wang, Zhenan Sun, Tieniu Tan, “Dynamic Graph Representation for Occlusion Handling in Biometrics,” Proc. AAAI Conference on Artificial Intelligence, pp. 11940-11947, February 2020, New York, USA.
44. Yanbei Liu, Xiao Wang, Shu Wu, Zhitao Xiao, “Independence Promoted Graph Disentangled Networks,” Proc. AAAI Conference on Artificial Intelligence, pp. 4916-4923, February 2020, New York, USA.
45. Junsong Fan, Zhaoxiang Zhang, Tieniu Tan, Chunfeng Song, Jun Xiao, “CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation,” Proc. AAAI Conference on Artificial Intelligence, pp. 10762-10769, February 2020, New York, USA.
46. Hao Zhu, Huaibo Huang, Yi Li, Aihua Zheng, Ran He, “Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning,” Proc. International Joint Conference on Artificial Intelligence, pp. 2362-2368, January 2021, Yokohama, Japan.
47. Qiyao Deng, Jie Cao, Yunfan Liu, Zhenhua Chai, Qi Li, Zhenan Sun, “Reference Guided Face Component Editing,” Proc. International Joint Conference on Artificial Intelligence, pp. 502-508, January 2021, Yokohama, Japan.
48. Chen Gao, Si Liu, Defa Zhu, Quan Liu, Jie Cao, Haoqian He, Ran He, Shuicheng Yan, “InteractGAN: Learning to Generate Human-Object Interaction,” Proc. ACM Multimedia Conference, pp. 165-173, October 2020, Seattle, USA.
49. Wentao Jiang, Si Liu, Chen Gao, Ran He, Bo Li, Shuicheng Yan, “Beautify As You Like,” Proc. ACM Multimedia Conference, pp. 4542-4544, October 2020, Seattle, USA.
50. Kai Niu, Yan Huang, Liang Wang, “Textual Dependency Embedding for Person Search by Language,” Proc. ACM Multimedia Conference, pp. 4032-4040, October 2020, Seattle, USA.
51. Yifan Song, Zhang Zhang, Caifeng Shan, Liang Wang, “Stronger, Faster and More Explainable: A Graph Convolutional Baseline for Skeleton-based Action Recognition,” Proc. ACM Multimedia Conference, pp. 1625–1633, October 2020, Seattle, USA.
52. Peipei Li, Yinglu Liu, Hailin Shi, Xiang Wu, Yibo Hu, Ran He, Zhenan Sun, “Dual-structure Disentangling Variational Generation for Data-limited Face Parsing,” Proc. ACM Multimedia Conference, pp. 556-564, October 2020, Seattle, USA.
53. Boqiang Xu, Lingxiao He, Xingyu Liao, Wu Liu, Zhenan Sun, Tao Mei, Black Re-ID, “A Head-shoulder Descriptor for the Challenging Problem of Person Re-Identification,” Proc. ACM Multimedia Conference, pp. 673-681, October 2020, Seattle, USA.
54. Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, and Tieniu Tan, “Unfolding the Alternating Optimization for Blind Super Resolution,” Conference on Neural Information Processing Systems, December 2020, Vancouver, Canada.
55. Hao Zhu, Chaoyou Fu, Qianyi Wu, Wayne Wu, Chen Qian, Ran He, “AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection,” Proc. Conference on Neural Information Processing Systems, December 2020, Vancouver, Canada.
56. Bojing Feng, Wenfang Xue, Bindang Xue, Zeyu Liu, “Every Corporation Owns Its Image: Corporate Credit Ratinings via Convolutional Neural Networks,” Proc. International Conference on Computer and Communications, pp. 1578-1583, December 2020, Chengdu, China.
57. Xiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang, Philip S Yu, “Dynamic Graph Collaborative Filtering,” Proc. IEEE International Conference on Data Mining, November 2020, Sorento, Italy.
58. Yufeng Zhang, Xueli Yu, Zeyu Cui, Shu Wu, Zhongzhen Wen, Liang Wang, “Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks,” Proc. Conference of the Association for Computational Linguistics, pp. 334-339, July 2020, Los Angeles, USA.
59. Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, and Liang Wang, “Deep Graph Contrastive Representation Learning,” Proc. ICML 2020 Workshop on Graph Representation Learning and Beyond, July 2020, Vienna, Austria.
60. Kaisiyuan Wang*, Qianyi Wu*, Linsen Song*, Zhuoqian Yang, Wayne Wu, Chen Qian, Ran He, Yu Qiao, Chen Change Loy, “MEAD: A Large-Scale Audio-Visual Dataset for Emotional Talking-Face Generation,” Proc. European Conference on Computer Vision, pp. 700-717, August 2020, Glasgow, UK.
61. Feng Yu, Zhaocheng Liu, Qiang Liu, Haoli Zhang, Shu Wu, Liang Wang, “Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions,” Proc. ACM International Conference on Information and Knowledge Management (CIKM), pp. 2285-2288, October 2020.
62. Feng Yu, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang and Tieniu Tan, “TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation,” Proc. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 1921-1924, July 2020, Xi'an, China.
63. Shu Wu, Feng Yu, Xueli Yu, Qiang Liu, Liang Wang, Tieniu Tan, Jie Shao and Fan Huang, “TFNet: Multi-Semantic Feature Interaction for CTR Prediction,” Proc. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020, 1885-1888, July 2020, Xi'an, China.