The Center for Research on Intelligent Perception and Computing

1. Yafeng Zhan, Jianze Wei, Jian Liang, Xiu Xu, Ran He, Trevor W. Robbins, ZhengWang, “Diagnostic Classification for Human Autism and Obsessive-Compulsive Disorder Based on Machine Learning from a Primate Genetic Model,” American Journal of Psychiatry, vol. 178, no. 1, pp. 65-76, 2021.
2. Zeyu Cui, Feng Yu, Shu Wu, Qiang Liu, “Disentangled Item Representation for Recommender Systems,” ACM Transactions on Intelligent Systems and Technology (ACM TIST), vol. 30, no. 2, pp. 1-20, 2021.
3. Xiao-Yu Zhang, Yaru Zhang, Haichao Shi, Jing Dong, “SAPS: Self-Attentive Pathway Search for weakly-supervised action localization with-action,” Computer Vision and Image Understanding, vol. 12, pp. 103256, 2021.
4. Wangli Hao, Ian Max Andolina, Wei Wang and Zhaoxiang Zhang, “Biologically inspired visual computing: the state of the art,” Frontiers of Computer Science, vol. 210, no. 1, pp. 151304, 2021.
5. Yunbo Wang, Xianfeng Ou, Jian Liang, Zhenan Sun, “Deep Semantic Reconstruction Hashing for Similarity Retrieval,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 15, no. 1, pp. 387-400, 2021.
6. Manyu Zhu, Dongliang He, Xin Li, Chao Li, Fu Li, Xiao Liu, Errui Ding and Zhaoxiang Zhan, “Image Inpainting by End-to-End Cascaded Refinement with Mask Awareness,” IEEE Trans. on Image Processing, vol. 31, pp. 4855-4866, 2021.
7. Ya Jing, Wei Wang, Liang Wang, TieniuTan, “Learning Aligned Image-Text Representations Using Graph Attentive Relational Network,” IEEE Trans. on Image Processing, vol. 30, pp. 1840-1852, 2021.
8. Linjiang Huang, Yan Huang, Wanli Ouyang, and Liang Wang, “Modeling Sub-Actions for Weakly Supervised Temporal Action Localization,” IEEE Trans. on Image Processing, vol. 30, pp. 5154-5167, 2021.
9. Qing En, Lijuan Duan, Zhaoxiang Zhang*, “Joint Multisource Saliency and Exemplar Mechanism for Weakly Supervised Video Object Segmentation,” IEEE Trans. on Image Processing, vol. 30, pp. 8155-8169, 2021.
10. Cairong Zhao, Xinbi Lv, Shuguang Dou, Shanshan Zhang, Jun Wu, Liang Wang, “Incremental Generative Occlusion Adversarial Suppression Network for Person ReID,” IEEE Trans. on Image Processing, vol. 30, pp. 4212-4224, 2021.
11. Yuchun Fang, Zhengye Xiao, Wei Zhang, Yan Huang, Liang Wang, Nozha Boujemaa, DonaldGeman, “Attribute Prototype Learning for Interactive Face Retrieval,” IEEE Trans. on Information Forensics and Security, vol. 16, pp. 2593-2607, 2021.
12. Chaoyou Fu, Yibo Hu, Xiang Wu, Guoli Wang, Qian Zhang, Ran He, “High-Fidelity Face Manipulation with Extreme Poses and Expressions,” IEEE Trans. on Information Forensics and Security, vol. 30, pp. 2218-2231, 2021.
13. Yunfan Liu, Qi Li, Zhenan Sun, Tieniu Tan, “A(3)GAN: An Attribute-Aware Attentive Generative Adversarial Network for Face Aging,” IEEE Trans. on Information Forensics and Security, vol. 16, pp. 2776-2790, 2021.
14. Qiyao Deng, Qi Li, Jie Cao, Yunfan Liu, and Zhenan Sun, “Controllable Multi-Attribute Editing of High-Resolution Face Images,” IEEE Trans. on Information Forensics and Security, vol. 16, pp. 1410-1423, 2021.
15. Mandi Luo, Jie Cao, Xin Ma, Xiaoyu Zhang, and Ran He, “FA-GAN: Face Augmentation GAN for Deformation-Invariant Face Recognition,” IEEE Trans. on Information Forensics and Security, vol. 16, pp. 2341-2355, 2021.
16. Mandi Luo, Xin Ma, Zhihang Li, Jie Cao, and Ran He, “Partial NIR-VIS Heterogeneous Face Recognition with Automatic Saliency Search,” IEEE Trans. on Information Forensics and Security, vol. 16, pp. 5003-5017, 2021.
17. Jawad Muhammad, Yunlong Wang, Caiyong Wang, Kunbo Zhang, Zhenan Sun, “CASIA-Face-Africa: A Large-Scale African Face Image Database,” IEEE Trans. on Information Forensics and Security, vol. 16, pp. 3634-3646, 2021.
18. Xuecai Hu, Zhang Zhang, Caifeng Shan, Zilei Wang, Liang Wang, Tieniu Tan, “Meta-USR: A Unified Super-Resolution Network for Multiple Degradation Parameters,” IEEE Trans. on Neural Networks and Learning Systems, vol. 16, no. 9, pp. 4151-4165, 2021.
19. Gengyun Jia, Meisong Zheng, Chuanrui Hu, Xin Ma, Yuting Xu, Luoqi Liu, Yafeng Deng, Ran He, “Inconsistency-aware Wavelet Dual-branch Network for Face Forgery Detection,” IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 32, no. 3, pp. 308-319, 2021.
20. Peng Xu, Yongye Huang, Tongtong Yuan, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song, Liang Wang, “On Learning Semantic Representations for Large-Scale Abstract Sketches,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 3, no. 9, pp. 3366-3379, 2021.
21. Yi-Fan Song, Zhang Zhang, Caifeng Shan, Liang Wang, “Richly Activated Graph Convolutional Network for Robust Skeleton-Based Action Recognition,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 31, no. 5, pp. 1915-1925, 2021.
22. Peng Xu, Zeyu Song, Qiyue Yin, Yi-Zhe Song, Liang Wang, “Deep Self-Supervised Representation Learning for Free-Hand Sketch,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 31, no. 4, pp. 1503-1513, 2021.
23. Xiuchun Xiao, Neal N. Xiong, Jianhuang Lai, Chang-Dong Wang, Zhenan Sun, Jingwen Yan, “A Local Consensus Index Scheme for Random-Valued Impulse Noise Detection Systems,” IEEE Trans. on Systems, Man and Cybernetics: Systems, vol. 31, no. 6, pp. 3412-3428, 2021.
24. Huiyan Lu, Long Jin, Jiliang Zhang, Zhenan Sun, Shuai Li, Zhijun Zhang, “New Joint-Drift-Free Scheme Aided with Projected ZNN for Motion Generation of Redundant Robot Manipulators Perturbed by Disturbances,” IEEE Trans. on Systems, Man and Cybernetics: Systems, vol. 51, no. 9, pp. 5639-5651, 2021.
25. Hao Zhu, Mandi Luo, Rui Wang, Aihua Zheng, Ran He, “Deep Audio-visual Learning: A Survey,” International Journal of Automation and Computing, vol. 51, no. 3, pp. 351-376, 2021.
26. Zhihang Li, Teng Xi, Gang Zhang, Jingtuo Liu, Ran He*, “AutoDet: Pyramid Network Architecture Search for Object Detection,” International Journal of Computer Vision, vol. 18, no. 4, pp. 1087-1105, 2021.
27. Aijing Yu, Haoxue Wu, Huaibo Huang, Zhen Lei, RanHe, “LAMP-HQ: A Large-Scale Multi-pose High-Quality Database and Benchmark for NIR-VIS Face Recognition,” International Journal of Computer Vision, vol. 129, no. 5, pp. 1467-1483, 2021.
28. Huaibo Huang, Aijing Yu, Zhenhua Chai, Ran He*, Tieniu Tan, “Selective Wavelet Attention Learning for Single Image Deraining,” International Journal of Computer Vision, vol. 129, no. 4, pp. 1282-1300, 2021.
29. Yan Huang, Qiang Wu, Jingsong Xu, Yi Zhong, Zhaoxiang Zhang, “Unsupervised Domain Adaptation with Background Shift Mitigating for Person Re-Identification,” International Journal of Computer Vision, vol. 129, no. 7, pp. 2244-2263, 2021.
30. Bo Peng, Wei Wang, Jing Dong, Tieniu Tan, “Learning pose-invariant 3D object reconstruction from single-view images,” Neurocomputing, vol. 129, pp. 407-418, 2021.
31. Chunfeng Song, Caifeng Shan, Yan Huang, LiangWang, “Mask-guided contrastive attention and two-stream metric co-learning for person Re-identification,” Neurocomputing, vol. 423, pp. 561-573, 2021.
32. Ke Han, Yan Huang, Chunfeng Song, Liang Wang, TieniuTan, “Adaptive super-resolution for person re-identification with low-resolution images,” Pattern Recognition, vol. 465, 2021.
33. Hongyuan Yu, Yan Huang, Lihong Pi, Chengquan Zhang, Xuan Li, LiangWang, “End-to-end video text detection with online tracking,” Pattern Recognition, vol. 114, 2021.
34. Fenyu Hu, Yanqiao Zhu, Shu Wu, Weiran Huang, Liang Wang, Tieniu Tan, “GraphAIR: Graph representation learning with neighborhood aggregation and interaction,” Pattern Recognition, vol. 113, 2021.
35. Wei Wang, Hao Wang, Zhi-Yong Ran, Ran He*, “Learning Robust Feature Transformation for Domain Adaptation,” Pattern Recognition, vol. 112, 2021.
36. Ran He, Yi Li, Xiang Wu, Lingxiao Song, Zhenhua Chai, Xiaolin Wei, “Coupled adversarial learning for semi-supervised heterogeneous face recognition,” Pattern Recognition, vol. 114, 2021. 37. Wei Tang, Yan Huang, Liang Wang, “PokerNet: Expanding Features Cheaply via Depthwise Convolutions,” Int. J. Autom. Comput, vol. 110, no. 3, pp. 432-442, 2021.
38. Bojing Feng, Wenfang Xue, “Adversarial Semi-supervised Learning for Corporate Credit Rating,” Journal of Software, vol. 18, no. 6, pp. 259-266, 2021.

1. Mengmeng Cui, Wei Wang, Jinjin Zhang, Liang Wang, “Representation and Correlation Enhanced Encoder-Decoder Framework for Scene Text Recognition,” Proc. International Conference on Document Analysis and Recognition (ICDAR), pp. 156-170, September 2021, Lausanne, Switzerland.
2. Huaibo Huang, Aijing Yu, Ran He, “Memory Oriented Transfer Learning for Semi-Supervised Image Deraining,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 7732-7741, June 2021, Nashville, United States.
3. Linsen Song, Wayne Wu, Chaoyou Fu, Chen Qian, Chen Change Loy, Ran He, “Pareidolia Face Reenactment,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 2236-2245, June 2021, Nashville, United States.
4. Gege Gao, Huaibo Huang, Chaoyou Fu, ZhaoYang Li, Ran He, “Information Bottleneck Disentanglement for Identity Swapping,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 3404-3413, June 2021, Nashville, United States.
5. Jia Li, Zhaoyang Li, Jie Cao, Xingguang Song, and Ran He, “FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 5089-5098, June 2021, Nashville, United States.
6. Zhengxiong Luo, Zhicheng Wang, Yan Huang, Shang Li, Liang Wang, Tieniu Tan, and Erjin Zhou, “Rethinking the Heatmap Regression for Bottom-Up Human Pose Estimation,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 13264-13273, June 2021, Nashville, United States.
7. Yuhao Zhu, Qi Li, Jian Wang, Chengzhong Xu, Zhenan Sun, “One Shot Face Swapping on Megapixels,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 4834-4844, June 2021, Nashville, United States.
8. Jie Cao, Luanxuan Hou, Ming-Hsuan Yang, Ran He, and Zhenan Sun, “ReMix: Towards Image-to-Image Translation with Limited Data,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 15018-15027, June 2021, Nashville, United States.
9. Dongze Li, Wei Wang, Hongxing Fan, Jing Dong, “Exploring Adversarial Fake Images on Face Manifold,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 5789-5798, June 2021, Nashville, United States.
10. Ya Jing, Tao Kong, Wei Wang, Liang Wang, Lei Li, Tieniu Tan, “Locate then Segment: A Strong Pipeline for Referring Image Segmentation,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 9858-9867, June 2020, Nashville, United States.
11. Tianxiang Ma, Bo Peng, Wei Wang, Jing Dong, “MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 13617-13626, June 2021, Nashville, United States.
12. Jiawei He, Zehao Huang, Naiyan Wang, Zhaoxiang Zhang, “Learnable Graph Matching: Incorporating Graph Partitioning with Deep Feature Learning for Multiple Object Tracking,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 5299-5309, June 2021, Nashville, United States.
13. Xingyuan Bu, Junran Peng, Junjie Yan, Tieniu Tan, Zhaoxiang Zhang*, “GAIA: A Transfer Learning System of Object Detection that Fits Your Needs,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 274-283, June 2021, Nashville, United States.
14. Zikai Zhang, Bineng Zhong, Shengping Zhang, Zhenjun Tang, Zhaoxiang Zhang, Xin Liu, “Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 1024-1033, June 2021, Nashville, United States.
15. Gang Zhang, Xin Lu, Jingru Tan, Jianmin Li, Zhaoxiang Zhang, Quanquan Li, Xiaolin Hu, RefineMask, “Towards High-Quality Instance Segmentation with Fine-Grained Features,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 6861-6869, June 2021, Nashville, United States.
16. Chufeng Tang, Hang Chen, Xiao Li, Jianmin Li, Zhaoxiang Zhang, Xiaolin Hu, “Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 13926-13935, June 2021, Nashville, United States.
17. Zigang Geng, Ke Sun, Bin Xiao, Zhaoxiang Zhang, Jingdong Wang, “Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 14676-14686, June 2021, Nashville, United States.
18. Hao Tian, Yuntao Chen, Jifeng Dai, Zhaoxiang Zhang, Xizhou Zhu, “Unsupervised Object Detection with LIDAR Clues,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 5962-5972, June 2021, Nashville, United States.
19. Zongcai Sun, Chaoyou Fu, Mandi Luo, Ran He, “Self-Augmented Heterogeneous Face Recognition,” Proc. International Joint Conference on Biometrics, August 2021, Shenzhen, China.
20. Yuting Xu, Gengyun Jia, Huaibo Huang, Junxian Duan, Ran He, “Visual-semantic Transformer for Face Forgery Detection,” Proc. International Joint Conference on Biometrics, August 2021, Shenzhen, China.
21. Jianze Wei, Ran He, Zhenan Sun, “Contrastive Uncertainty Learning for Iris Recognition with Insufficient Labeled Samples,” Proc. International Joint Conference on Biometrics, August 2021, Shenzhen, China.
22. Yiwei Ru, Wanting Zhou, Yunfan Liu, Jianxin Sun, Qi Li, “Bita-Net: Bi-temporal Attention Network for Facial Video Forgery Detection,” Proc. International Joint Conference on Biometrics, August 2021, Shenzhen, China.
23. Qi Li, Xiaoxiao Dong, Weining Wang, Caifeng Shan, “CAS-AIR-3D Face: A Low-Quality, Multi-Modal and Multi-Pose 3D Face Database,” Proc. International Joint Conference on Biometrics, August 2021, Shenzhen, China.
24. Xingqun Qi, Muyi Sun, Weining Wang, Xiaoxiao Dong, Qi Li, Caifeng Shan, “Face Sketch Synthesis via Semantic-Driven Generative Adversarial Network,” Proc. International Joint Conference on Biometrics, August 2021, Shenzhen, China.
25. Bo Peng, Hongxing Fan, Wei Wang, Jing Dong, Yuezun Li, Siwei Lyu, Qi Li, Zhenan Sun et al, “DFGC 2021: A DeepFake Game Competition,” Proc. International Joint Conference on Biometrics, August 2021, Shenzhen, China.
26. Yu Tian, Kunbo Zhang, Leyuan Wang, and Chong Zhang, “Avoiding Spectacles Reflections on Iris Images Using a Ray-tracing Method,” Proc. International Joint Conference on Biometrics, August 2021, Shenzhen, China.
27. Caiyong Wang, Yunlong Wang, Kunbo Zhang, Jawad Muhammad, Tianhao Lu, Qi Zhang, Qichuan Tian et al, “NIR iris challenge evaluation in non-cooperative environments: Segmentation and localization,” Proc. International Joint Conference on Biometrics, August 2021, Shenzhen, China.
28. Leyuan Wang, Kunbo Zhang, Yunlong Wang, and Zhenan Sun, “An End-to-End Autofocus Camera for Iris on the Move,” Proc. International Joint Conference on Biometrics, August 2021, Shenzhen, China.
29. Junxing Hu, Leyuan Wang, Zhengquan Luo, Yunlong Wang, Zhenan Sun, “A Large-scale Database for Less Cooperative Iris Recognition,” Proc. International Joint Conference on Biometrics, August 2021, Shenzhen, China.
30. Shiqi Yu, Yongzhen Huang, Liang Wang et al, “Hid 2021: Competition on human identification at a distance 2021,” Proc. International Joint Conference on Biometrics, August 2021, Shenzhen, China.
31. Yan Huang, Qiang Wu, JingSong Xu, Yi Zhong, ZhaoXiang Zhang, “Clothing Status Awareness for Long-Term Person Re-Identification,” Proc. IEEE International Conference on Computer Vision, pp. 11895-11904, October 2021.
32. Chaoyou Fu, Yibo Hu, Xiang Wu, Hailin Shi, Tao Mei, Ran He, “CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification,” Proc. IEEE International Conference on Computer Vision, pp. 11823-11832, October 2021.
33. Min Ren, Lingxiao He, Xingyu Liao, Wu Liu, Yunlong Wang, Tieniu Tan, “Learning Instance-level Spatial-Temporal Patterns for Person Re-identification,” Proc. IEEE International Conference on Computer Vision, pp. 14930-14939, October 2021.
34. Yuxi Wang, Junran Peng, Zhaoxiang Zhang, “Uncertainty-aware Pseudo Label Refinery for Domain Adaptive Semantic Segmentation,” Proc. IEEE International Conference on Computer Vision, pp. 9092-9101, October 2021.
35. Lue Fan, Xuan Xiong, Feng Wang, Naiyan Wang, Zhaoxiang Zhang, “RangeDet: In Defense of Range View for LiDAR-Based 3D Object Detection,” Proc. IEEE International Conference on Computer Vision, pp. 2918-2927, October 2021.
36. Zhengxiong Luo, Zhicheng Wang, Yuanhao Cai, Guanan Wang, Liang Wang, Yan Huang, ErJin Zhou, Tieniu Tan, Jian Sun, “Efficient Human Pose Estimation by Learning Deeply Aggregated Representations,” Proc. IEEE International Conference on Multimedia and Expo, July 2021.
37. Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Shuhui Wang and Liang Wang, “Mining Latent Structures for Multimedia Recommendation,” Proc. ACM International Conference on Multimedia, pp. 3872–3880, October 2021, Chengdu, China.
38. Dong An, Yuankai Qi, Yan Huang*, Qi Wu, Liang Wang, and Tieniu Tan, “Neighbor-view Enhanced Model for Vision and Language Navigation,” Proc. ACM International Conference on Multimedia, pp. 5101-5109, October 2021, Chengdu, China.
39. Wei Zhang, Lingxiao He, Peng Chen, Xingyu Liao, Wu Liu, Qi Li, Zhenan Sun, “Boosting End-to-End Multi-object Tracking and Person Search via Knowledge Distillation,” Proc. ACM International Conference on Multimedia, pp. 1192-1201, October 2021, Chengdu, China.
40. Jianxin Sun, Qi Li, Weining Wang, Jian Zhao, Zhenan Sun, “Multi-caption Text-to-Face Synthesis: Dataset and Algorithm,” Proc. ACM International Conference on Multimedia, pp. 2290-2298, October 2021, Chengdu, China.
41. Yueming Lyu, Jing Dong, Bo Peng, Wei Wang, Tieniu Tan, “SOGAN: 3D-Aware Shadow and Occlusion Robust GAN for Makeup Transfer,” Proc. ACM International Conference on Multimedia, pp. 3601–3609, October 2021, Chengdu, China.
42. Keji He, Yan Huang, Qi Wu, Jianhua Yang, Dong An, Shuanglin Sima, and Liang Wang, “Landmark-RxR: Solving Vision-and-Language Navigation with Fine-Grained Alignment Supervision,” Proc. Conference on Neural Information Processing Systems, December 2021.
43. Yanqiao Zhu, Yichen Xu, Qiang Liu and Shu Wu, “An Empirical Study of Graph Contrastive Learning,” Proc. Conference on Neural Information Processing Systems, December 2021.
44. Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He, “Graph Information Bottleneck for Subgraph Recognition,” Proc. International Conference on Learning Representations, May 2021, Austria.
45. Wentao Chen, Chenyang Si, Wei Wang, Liang Wang, Zilei Wang, Tieniu Tan, “Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images,” Proc. International Joint Conference on Artificial Intelligence, pp. 2271-2277, August 2021.
46. Liping Wang, Fenyu Hu, Shu Wu, Liang Wang, “Fully Hyperbolic Graph Convolution Network for Recommendation,” Proc. ACM International Conference on Information and Knowledge Management, pp. 3483–3487, November 2021, Queensland, Australia.
47. Liping Wang, Fenyu Hu, Shu Wu, Liang Wang, “Label-informed Graph Structure Learning for Node Classification,” Proc. ACM International Conference on Information and Knowledge Management, pp. 3488–3492, November 2021, Queensland, Australia.
48. Qilong Yan, Yufeng Zhang, Qiang Liu, Shu Wu and Liang Wang, “Relation-aware Heterogeneous Graph for User Profiling,” Proc. ACM International Conference on Information and Knowledge Management, pp. 3573–3577, November 2021, Queensland, Australia.
49. Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen and Jun Zhu, “Mining Cross Features for Financial Credit Risk Assessment,” Proc. Proc. ACM International Conference on Information and Knowledge Management, pp. 1069–1078, November 2021, Queensland, Australia.
50. Qiang Liu, Yanqiao Zhu, Zhaocheng Liu, Yufeng Zhang and Shu Wu, “Deep Active Learning for Text Classification with Diverse Interpretations,” Proc. ACM International Conference on Information and Knowledge Management, pp. 3263–3267, November 2021, Queensland, Australia.
51. Yichen Xu, Yanqiao Zhu, Feng Yu, Qiang Liu and Shu Wu, “Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction,” Proc. ACM International Conference on Information and Knowledge Management, pp. 3553–3557, November 2021, Queensland, Australia.
52. Yingtao Luo, Qiang Liu and Zhaocheng Liu, “STAN: Spatio-Temporal Attention Network for Next Location Recommendation,” Proc. the Web Conference, pp. 2177–2185, April 2021, Ljubljana, Slovenia.
53. Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu and Liang Wang, “Graph Contrastive Learning with Adaptive Augmentation,” Proc. the Web Conference, pp. 2069–2080, April 2021, Ljubljana, Slovenia.
54. Xueli Yu, Weizhi Xu, Zeyu Cui, Shu Wu, Liang Wang, “Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval,” Proc. the Web Conference, pp. 778–787, April 2021, Ljubljana, Slovenia.
55. Chengwu Yang, Lingbo Meng, Yabin Li, Xiaotian Zhang, and Kunbo Zhang, “3D vision guided stove picking based on multi-channel image fusion in complex environment,” Proc. AOPC 2021: Optical Sensing and Imaging Technology, pp. 298-303, June2021, Beijing, China.
56. Zeyu Cui, Yinjiang Cai, Shu Wu, Xibo Ma, Liang Wang, “Motif-aware Sequential Recommendation,” Proc. International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1738-1742, July 2021.
57. Xueyi Li, Tianfei Zhou, Jianwu Li, Yi Zhou, Zhaoxiang Zhang, “Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation,” Proc. AAAI Conference on Artificial Intelligence, pp. 1984-1992, February 2021.
58. Yufeng Zhang, Jinghao Zhang, Zeyu Cui, Shu Wu, Liang Wang, “A Graph-based Relevance Matching Model for Ad-hoc Retrieval,” Proc. AAAI Conference on Artificial Intelligence, pp. 4688-4696, February 2021.
59. Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu, “Cold-start Sequential Recommendation via Meta Learner,” Proc. AAAI Conference on Artificial Intelligence, pp. 4706-4713, February 2021.
60. Jianhua Yang, Yan Huang, Zhanyu Ma, Liang Wang, “CMF: Cascaded Multi-model Fusion for Referring Image Segmentation,” Proc. IEEE International Conference on Image Processing, pp. 2289-2293, September 2021.