1 . Zongsheng Cao, Qianqian Xu, Zhiyong Yang and Qingming Huang. ER: Equivariance Regularizer for KnowledgGraph Completion. AAAI Conference on Artificial Intelligence (AAAI), 5512-5520, 2022.

2 . Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao and Qingming Huang. Geometry Interaction Knowledge Graph Embeddings. AAAI Conference on Artificial Intelligence (AAAI), 5521-5529, 2022.

3 . Zixian Zhou, Mengda Huang, Feiyang Pan, Jia He, Xiang Ao, Dandan Tu, Qing He. Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning. In Proceedings of the AAAI Conference on Artificial Intelligence, 2022.

4 . Jinsong Chen, Hu Han and Shiguang Shan. Towards High-Fidelity Face Self-occlusion Recovery via Multi-view Residual-based GAN Inversion. AAAI Conference on Artificial Intelligence (AAAI), 36(1): 294-302, Jun. 2022.

5 . Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He. Mind the gap: Cross-lingual information retrieval with hierarchical knowledge enhancement. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 36, No. 4, pp. 4345-4353, 2022.

6 . Zhuo Li, Weiqing Min, Jiajun Song, Yaohui Zhu, Liping Kang, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang. Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is Enough. AAAI 2022: 36 (2), 1518-1526

7 . Zhenhuan Liu, Liang Li, Huajie jiang, Xin Jin, Dandan Tu, Shuhui Wang and Zheng-Jun Zha. Unsupervised Coherent Video Cartoonization with Perceptual Motion Consistency. AAAI Conference on Artificial Intelligence (AAAI), 2022.

8 . Yizhi Li, Ge Zhang, Bohao Yang, Chenghua Lin, Anton Ragni, Shi Wang and Jie Fu. HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models. AACL-IJCNLP, 2022.

9 . Ruipeng Jia, Xingxing Zhang, Yanan Cao, Zheng Lin, Shi Wang, Furu Wei. Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization. ACL (1): 561-570, 2022.

10 . Zidi Qin, Yang Liu, Qing He, Xiang Ao. Explainable Graph-based Fraud Detection via Neural Meta-graph Search. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management, pp. 4414-4418, 2022.

11 . Fuwei Zhang, Zhao Zhang, Xiang Ao, Fuzhen Zhuang, Yongjun Xu, Qing He. Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management, pp. 2529-2538, 2022.

12 . Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He. Personalized transfer of user preferences for cross-domain recommendation. In Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, pp. 1507-1515, 2022.

13 . Junyu Chen, Qianqian Xu, Zhiyong Yang, Xiaochun Cao and Qingming Huang. A Unified Framework against Topology and Class Imbalance. ACM Conference on Multimedia (ACM MM), 180-188, 2022.

14 . Junyu Chen, Qianqian Xu, Zhiyong Yang, Ke Ma, Xiaochun Cao and Qingming Huang. Recurrent Meta-Learning against Generalized Cold-start problem in CTR Prediction. ACM Conference on Multimedia (ACM MM), 2636-2644, 2022.

15 . Zhipeng Yu, Qianqian Xu, Yangbangyan Jiang, Haoyu Qin and Qingming Huang. Pay Atention to Your Positive Pairs: Positive Pair Aware Contrastive Knowledge Distillation. ACM Conference on Multimedia (ACM MM), 5862-5870, 2022.

16 . Zitai Wang, Qianqian Xu, Ke Ma, Xiaochun Cao and Qingming Huang. Confederated Learning: Going Beyond Centralization. ACM Conference on Multimedia (ACM MM), 2939-2947, 2022.

17 . Weidong Chen, Dexiang Hong, Yuankai Qi, Zhenjun Han, Shuhui Wang, Laiyun Qing, Qingming Huang, Guorong Li. Multi-Attention Network for Compressed Video Referring Object Segmentation. ACM Conference on Multimedia (ACM MM), 4416-4425, 2022.

18 . Sheng Fang, Shuhui Wang, Junbao Zhuo, Qingming Huang, Bin MA, Xiaoming Wei, and Xiaolin Wei. Concept Propagation via Attentional Knowledge Graph Reasoning for Video-Text Retrieval. ACM Conference on Multimedia (ACM MM), 4789–4800, 2022.

19 . Junbao Zhuo, Yan Zhu, Shuhao Cui, Shuhui Wang, Bin MA, Qingming Huang, Xiaoming Wei, and Xiaolin Wei. Zero-shot Video Classification with Appropriate Web and Task Knowledge Transfer. ACM Conference on Multimedia (ACM MM), 5761–5772, 2022.

20 . Hao Wei, Shuhui Wang, Xinzhe Han, Zhe Xue, Bin Ma, Xiaoming Wei, Xiaolin Wei. Synthesizing Counterfactual Samples for Effective Image-Text Matching. ACM Conference on Multimedia (ACM MM), 4355-4364, 2022.

21 . Chao Bi, Shuhui Wang, Zhe Xue, Shengbo Chen, Qingming Huang. Inferential Visual Question Generation. ACM Conference on Multimedia (ACM MM), 4164-4174, 2022.

22 . Sheng Fang, Shuhui Wang, Junbao Zhuo, Qingming Huang, Bin MA, Xiaoming Wei, and Xiaolin Wei. Concept Propagation via Attentional Knowledge Graph Reasoning for Video-Text Retrieval. ACM Conference on Multimedia (ACM MM), 4789–4800, 2022.

23 . Yuanyuan Liu, Wei Dai, Chuanxu Feng, Wenbin Wang, Guanghao Yin, Jiabei Zeng, Shiguang Shan. MAFW: A Large-scale, Multi-modal, Compound Affective Database for Dynamic Facial Expression Recognition in the Wild. ACM Conference on Multimedia, 2022.

24 . Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He. Selective Fairness in Recommendation via Prompts. In Proceedings of the International ACM SIGIR conference on Research and Development in Information Retrieval, pp. 2657-2662, 2022. (Short paper)

25 . Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He. User-Centric Conversational Recommendation with Multi-Aspect User Modeling. In Proceedings of the International ACM SIGIR conference on Research and Development in Information Retrieval, pp. 223-233, 2022.

26 . Mengda Huang, Yang Liu, Xiang Ao, Kuan Li, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He. AUC-oriented Graph Neural Network for Fraud Detection. In Proceedings of the ACM Web Conference, pp. 1311-1321, 2022.

27 . Yunrui Zhao, Qianqian Xu, Yangbangyan Jiang, Peisong Wen and Qingming Huang. Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 14461-14470, 2022.

28 . Zhengcong Fei, Xu Yan, Shuhui Wang, Qi Tian. DeeCap: Dynamic Early Exiting for Efficient Image Captioning. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 12216-12226, 2022.

29 . Xinqian Gu, Hong Chang, Bingpeng Ma, Shutao Bai, Shiguang Shan, Xilin Chen. Clothes-Changing Person Re-identification with RGB Modality Only. Proceeedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1050-1059, June 19-24, 2022, New Orleans, Louisiana, USA / Cyberspace.

30 . Shutao Bai, Bingpeng Ma, Hong Chang, Rui Huang, Xilin Chen. Salient-to-Broad Transition for Video Person Re-identification. Proceeedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 7329-7338, June 19-24, 2022, New Orleans, Louisiana, USA / Cyberspace.

31 . Mingjie He, Jie Zhang, Shiguang Shan and Xilin Chen. Enhancing Face Recognition with Self-Supervised 3D Reconstruction. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4062-4071, 2022.

32 . Hanhua Ye, Guorong Li, Yuankai Qi, Shuhui Wang, Qingming Huang, Ming-Hsuan Yang. Hierarchical Modular Network for Video Captioning. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 17939-17948, 2022.

33 . Guanqi Ding, Xinzhe Han, Shuhui Wang, Shuzhe Wu, Xin Jin, Dandan Tu, Qingming Huang. Attribute Group Editing for Reliable Few-shot Image Generation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 11194-11203, 2022.

34 . Quan Quan, Qingsong Yao, Jun Li, and S.Kevin Zhou. Which images to label for few-shot medical landmark detection? In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 20606-20616, 2022.

35 . Yuanhang Zhang, Susan Liang, Shuang Yang and Shiguang Shan. UniCon+: ICTCAS-UCAS Submission to the AVA-ActiveSpeaker Task at ActivityNet Challenge 2022 (1st Place). IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop of the International Challenge on Activity Recognition (ActivityNet), 2022.

36 . Shi Wang, Daniel Tang, Luchen Zhang, Huilin Li, Ding Han. HieNet: Bidirectional Hierarchy Framework for Automated ICD Coding. DASFAA (2): 523-539, 2022.

37 . Zheng Yuan, Jie Zhang, Shiguang Shan. Adaptive Image Transformations for Transfer-based Adversarial Attack. European Conference on Computer Vision (ECCV), 2022.

38 . Yuecong Min, Peiqi Jiao, Yanan Li, Xiaotao Wang, Lei Lei, Xiujuan Chai, Xilin Chen (*). Deep Radial Embedding for Visual Sequence Learning. Proceedings of the 17th European Conference on Computer Vision (ECCV), LNCS 13666, Vol. 6, pp. 240-256, Oct. 23-27, 2022, Tel Aviv, Isreal / Cyberspace.

39 . Xuyang Guo, Meina Kan, Tianle Chen, Shiguang Shan. GAN with Multivariate Disentangling for Controllable Hair Editing. European Conference on Computer Vision (ECCV), pp. 655–670, 2022.

40 . Sixian Zhang, Weijie Li, Xinhang Song, Yubing Bai, Shuqiang Jiang. Generative Meta-Adversarial Network for Unseen Object Navigation. Proceedings of the 17th European Conference on Computer Vision (ECCV), vol. 39, pp. 301-320, 2022.

41 . Sheng Fang, Shuhui Wang, Junbao Zhuo, Xinzhe Han, Qingming Huang. Learning Linguistic Association Towards Efficient Text-Video Retrieval. European Conference on Computer Vision (ECCV) (36） 254-270, 2022.

42 . Botao Ye, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen. Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework. Proceedings of the 17th European Conference on Computer Vision (ECCV), LNCS 13682, Vol. 22, pp. 341-357, Oct. 23-27, 2022, Tel Aviv, Isreal / Cyberspace.

43 . Jun Wei, Sheng Wang, S Kevin Zhou, Shuguang Cui, Zhen Li. Weakly supervised object localization through inter-class feature similarity and intra-class appearance consistency. European Conference on Computer Vision(ECCV), pp. 195-210, Tel Aviv, Oct. 25-27, 2022.

44 . Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He and Hui Xiong. Customized Conversational Recommender Systems. In ECML/PKDD, 2022.

45 . Zong Guo, Bingpeng Ma, Hong Chang, Xilin Chen. Gradual Domain Adaptation with Sample Transferability Exploitation for Person Re-Identification. Proceedings of the 2022 IEEE International Conference on Multimedia and Expo (ICME), July 18-22, 2022, Taipei, China.

46 . Wenzheng Hou, Qianqian Xu, Zhiyong Yang, Shilong Bao, Yuan He and Qingming Huang. AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems. International Conference on Machine Learning (ICML), 8903–8925, 2022.

47 . Dalu Feng, Shuang Yang, Shiguang Shan, Xilin Chen. Audio-Driven Deformation Flow for Effective Lip Reading. 26th International Conference on Pattern Recognition, 2022, pp. 274-280, doi: 10.1109/ICPR56361.2022.9956316.

48 . Mingyang Liu, Li Xiao, Huiqin Jiang, Qing He. CCAT-NET: A Novel Transformer Based Semi-Supervised Framework For Covid-19 Lung Lesion Segmentation. In IEEE 19th International Symposium on Biomedical Imaging, 1-5, 2022.

49 . Wenzheng Hou, Qianqian Xu, Ke Ma, Qianxiu Hao, Qingming Huang. Quaternion Ordinal Embedding. International Joint Conference on Artificial Intelligence (IJCAI), 2066–2072, 2022.

50 . Minyang Hu, Hong Chang, Bingpeng Ma and Shiguang Shan. Learning Continuous Graph Structure with Bilevel Programming for Graph Neural Networks. International Joint Conference on Artificial Intelligence, 2022.

51 . Yuyao Guo, Haoming Li, Xiang Ao, Min Lu, Dapeng Liu, Lei Xiao, Jie Jiang, Qing He. Calibrated Conversion Rate Prediction via Knowledge Distillation under Delayed Feedback in Online Advertising. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management, pp. 3983-3987, 2022.

52 . Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He. Multi-view Multi-behavior Contrastive Learning in Recommendation. In International Conference on Database Systems for Advanced Applications, pp. 166-182, 2022.

53 . Linfeng Dong, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He. Bi-Level Selection via Meta Gradient for Graph-Based Fraud Detection. In International Conference on Database Systems for Advanced Applications, pp. 387-394, 2022.

54 . Xinwen Liu, Jing Wang, Cheng Peng, Shekhar S. Chandra, Feng Liu, and S. Kevin Zhou. Undersampled MRI Reconstruction with Side Information-Guided Normalisation. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 323-333, 2022.

55 . Ruizhou Liu, Qiang Ma, Zhiwei Cheng, Yuanyuan Lyu, Jianji Wang, and S. Kevin Zhou. Stabilize, Decompose, and Denoise: Self-supervised Fluoroscopy Denoising. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 13-23. Springer, Cham, 2022.

56 . Jiuwen Zhu, Yuexiang Li, Lian Ding, and S. Kevin Zhou. Aggregative Self-supervised Feature Learning from Limited Medical Images. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 57-66. Springer, Cham, 2022.

57 . Cheng Peng, Pengfei Guo, S. Kevin Zhou, Vishal M. Patel, and Rama Chellappa. Towards performant and reliable undersampled MR reconstruction via diffusion model sampling. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 623-633. Springer, Cham, 2022.

58 . Ce Wang, Kun Shang, Haimiao Zhang, Qian Li, and S. Kevin Zhou. DuDoTrans: Dual-Domain Transformer for Sparse-View CT Reconstruction. In International Workshop on Machine Learning for Medical Image Reconstruction, pp. 84-94. Springer, Cham, 2022.

59 . Yuanqi Du, Quan Quan, Hu Han, and S. Kevin Zhou. Semi-supervised Pseudo-healthy Image Synthesis via Confidence Augmentation. in Proc. IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1-5, 2022.

60 . Yang Lin, Hu Han, and S. Kevin Zhou. Deep Non-linear Embedding Deformation Network for Cross-modal Brain MRI Synthesis. IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1-5, 2022.

61 . Yang Liu, Xiang Ao, Fuli Feng, Qing He. UD-GNN: Uncertainty-aware Debiased Training on Semi-Homophilous Graphs. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD), Pages 1131–1140, 2022.

62 . Qingping Yang, Yixuan Cao, Ping Luo. Numerical Tuple Extraction from Tables with Pre-training. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 2233-2241, 2022.

63 . Kuan Li, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He. Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 925-935, 2022.

64 . Can Liu, Yuncong Gao, Li Sun, Jinghua Feng, Hao Yang, Xiang Ao. User Behavior Pre-training for Online Fraud Detection. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 3357-3365, 2022.

65 . Ya Wang, Cungen Cao, Zhiwen Chen, Shi Wang. ECCKG: An Eventuality-Centric Commonsense Knowledge Graph. KSEM (1): 568-584, 2022.

66 . Ya Wang, Cungen Cao, Zhiwen Chen, Shi Wang. CKGAC: A Commonsense Knowledge Graph About Attributes of Concepts. KSEM (1): 585-601, 2022.

67 . Yihua Sun, Qingsong Yao, Yuanyuan Lyu, Jianji Wang, Yi Xiao, Hongen Liao, and S. Kevin Zhou. Rib Suppression in Digital Chest Tomosynthesis. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 696–706, Singapore, Sept. 18-22, 2022.

68 . Pengbo Liu, Xia Wang, Mengsi Fan, Hongli Pan, Minmin Yin, Xiaohong Zhu, Dandan Du, Xiaoying Zhao, Li Xiao, Lian Ding, Xingwang Wu, and S. Kevin Zhou. Learning Incrementally to Segment Multiple Organs in a CT Image. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 714-724, Singapore, Sept. 18-22, 2022.

69 . Jun Wei, Yiwen Hu, Guanbin Li, Shuguang Cui, S Kevin Zhou, Zhen Li. BoxPolyp: Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotations. International Conference on Medical Image Computing and Computer Assisted Intervention(MICCAI), pp. 67-77, Singapore, Sept. 18-22, 2022.

70 . Han Li, Long Chen, Hu Han, and S. Kevin Zhou. SATr: Slice Attention with Transformer for Universal Lesion Detection. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 163-174, Singapore, Sept. 18-22, 2022.

71 . Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao and Qingming Huang. OTKGE: Multimodal Knowledge Graph Embeddings via Optimal Transport. Annual Conference on Neural Information Processing Systems (NeurIPS), 2022.

72 . Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao and Qingming Huang. OpenAUC: Towards AUC-Oriented Open-Set Recognition. Annual Conference on Neural Information Processing Systems (NeurIPS), 2022.

73 . Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao and Qingming Huang. The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm. Annual Conference on Neural Information Processing Systems (NeurIPS), 2022.

74 . Yinqi Li, Hong Chang, Bingpeng Ma, Shiguang Shan and Xilin Chen. Optimal Positive Generation via Latent Transformation for Contrastive Learning. Neural Information Processing Systems, December 2022.

75 . Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He and Qingming Huang. Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability. Annual Conference on Neural Information Processing Systems (NeurIPS), 2022.

76 . Huiyang Shao, Qianqian Xu, Zhiyong Yang, Shilong Bao and Qingming Huang. Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm. Annual Conference on Neural Information Processing Systems (NeurIPS), 2022.

77 . Yuanyuan Xu, Meina Kan, Shiguang Shan, Xilin Chen. Mutual Learning of Joint and Separate Domain Alignments for Multi-Source Domain Adaptation. Proceedings of the IEEE Winter Conference of Applications on Computer Vision (WACV), pp. 1658-1667, Waikoloa, Hawaii, Jan. 4-8, 2022.

78 . Lei Ji, Chenfei Wu, Daisy Zhou, Kun Yan, Edward Cui, Xilin Chen, Nan Duan. Learning Temporal Video Procedure Segmentation from an Automatically Collected Large Dataset. Proceedings of the IEEE Winter Conference of Applications on Computer Vision (WACV), pp. 2733-2742, Waikoloa, Hawaii, Jan. 4-8, 2022.

79 . Hui Nie, Ruiping Wang, Xilin Chen. From Node to Graph: Joint Reasoning on Visual-Semantic Relational Graph for Zero-Shot Detection. Proceedings of the IEEE Winter Conference of Applications on Computer Vision (WACV), pp. 1648-1657, Waikoloa, Hawaii, Jan. 4-8, 2022.

80 . Fengyuan Yang, Ruiping Wang, Xilin Chen. SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning. Proceedings of the IEEE Winter Conference of Applications on Computer Vision (WACV), pp. 1586–1596, Waikoloa, Hawaii, Jan. 4-8, 2022.

1 . Feifei Yang, Jiuwen Zhu, Junfeng Wang, Liwei Zhang, Wenjun Wang, Xu Chen, Xixiang Lin, Qiushuang Wang, Daniel Burkhoff, S. Kevin Zhou, and Kunlun He. Self-supervised learning assisted diagnosis for mitral regurgitation severity classification based on color Doppler echocardiography. Annals of Translational Medicine 10, no. 1, 2022.

2 . Heqin Zhu, Qingsong Yao, Li Xiao, and S. Kevin Zhou. Learning to Localize Cross-Anatomy Landmarks in X-Ray Images with a Universal Model. BME Frontiers, 2022.

3 . Heng Song, Shi Wang, Yu Liu, Ya Wang. Predicate-attention neural model for Chinese semantic role labeling. Comput. Electr. Eng., 2022.

4 . Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhiping Shi, and Qing He. Combat Data Shift in Few-shot Learning with Knowledge Graph. Frontiers of Computer Science, 17(1): 171305, 2023.

5 . Feiyang Pan, Shuokai Li, Xiang Ao, Qing He. Relation Reconstructive Binarization of word embeddings. Frontiers of Computer Science, 16(2), 1-8, 2022.

6 . Shutao Bai, Bingpeng Ma, Hong Chang, Rui Huang, Shiguang Shan and Xilin Chen. SANet: Statistic Attention Network for Video-Based Person Re-Identification. IEEE Trans. on Circuits and Systems for Video Technology, vol. 32, no. 6, pp. 3866-3879, June 2022.

7 . Furong Xu, Bingpeng Ma, Hong Chang and Shiguang Shan. PRDP: Person Re-identification with Dirty and Poor Data. IEEE Trans. on Cybernetics, vol. 52, no. 10, pp. 11014-11026, October 2022.

8 . Xinqian Gu, Hong Chang, Bingpeng Ma and Shiguang Shan. Motion Feature Aggregation for Video-based Person Re-identification. IEEE Trans. on Image Processing, vol. 31, 3908-3919, 2022.

9 . Linmao Zhou, Hong Chang, Bingpeng Ma and Shiguang Shan. Interactive Regression and Classification for Dense Object Detector. IEEE Trans. on Image Processing, vol. 31, pp. 3684-3696, 2022.

10 . Haitao Zeng, Xinhang Song, Gongwei Chen, Shuqiang Jiang. Amorphous Region Context Modeling for Scene Recognition. IEEE Trans. on Multimedia, 24: 141-151, 2022.

11 . Abhijit Das, Xuesong Niu, Antitza Dantcheva, S L Happy, Hu Han, Radia Zeghari, Philippe Robert, Shiguang Shan, Francois Bremond and Xilin Chen. A Spatio-temporal Approach for Apathy Classification. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 32(5): 2561-2573, May 2022.

12 . Yong Li, Lingjie Lao, Zhen Cui, Shiguang Shan, Jian Yang. Graph Jigsaw Learning for Cartoon Face Recognition. IEEE Transactions on Image Processing (TIP). Vol. 31, pp3961-3972, 2022.

13 . Mingjie He, Jie Zhang, Shiguang Shan, Xiao Liu, Zhongqin Wu and Xilin Chen. Locality-aware Channel-wise Dropout for Occluded Face Recognition. IEEE Transactions on Image Processing (TIP), vol. 31, pp. 788-798, 2022.

14 . Yunpei Jia, Jie Zhang*, Shiguang Shan. Dual-Branch Meta-learning Network with Distribution Alignment for Face Anti-spoofing. IEEE Transactions on Information Forensics and Security, Vol.17, pp 138-151, 2022.

15 . Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu. Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning. IEEE Transactions on Knowledge and Data Engineering, 2022.

16 . Yang Liu, Xiang Ao, Linfeng Dong, Chao Zhang, Jin Wang, Qing He. Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding. IEEE Transactions on Knowledge and Data Engineering, 34(1): 462-474, 2022.

17 . Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He. A Survey on Knowledge Graph-Based Recommender Systems. IEEE Transactions on Knowledge and Data Engineering, 34(8): 3549-3568, 2022.

18 . Pengpeng Zhao, Anjing Luo, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, and Xiaofang Zhou. Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. IEEE Transactions on Knowledge and Data Engineering, VOL. 34, NO. 5, pp. 2512-2523, 2022.

19 . Jingjing Gu, Qiang Zhou, Jingyuan Yang, Yanchi Liu, Fuzhen Zhuang, Yanchao Zhao, and Hui Xiong. Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems. IEEE Transactions on Knowledge and Data Engineering, VOL. 34, NO. 2, pp. 640-652, 2022.

20 . Zhiyong Yang, Qianqian Xu, Shilong Bao, Xiaochun Cao and Qingming Huang. Learning with Multiclass AUC: Theory and Algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(11): 7747–7763, 2022.

21 . Tianwei Cao, Qianqian Xu, Zhiyong Yang and Qingming Huang. Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(11): 8449–8464, 2022.

22 . Ke Ma, Qianqian Xu, Jinshan Zeng, Xiaochun Cao and Qingming Huang. Poisoning Attack against Estimating from Pairwise Comparisons. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(10): 6393–6408, 2022.

23 . Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan and Xilin Chen. Feature Completion for Occluded Person Re-Identification. IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 44, no. 9, pp. 4894-4912, September 2022.

24 . Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao and Qingming Huang. Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 44(6): 3154-3169, 2022.

25 . Bo Zhou, Tianshun Miao, Niloufar Mirian, Xiongchao Chen, Huidong Xie, Zhicheng Feng, Xueqi Guo, Xiaoxiao Li, S. Kevin Zhou, James S. Duncan, Chi Liu. Federated Transfer Learning for Low-dose PET Denoising: A Pilot Study with Simulated Heterogeneous Data. IEEE Transactions on Radiation and Plasma Medical Sciences, 2022.

26 . Yi-Ling Qiao, Lin Gao, Jie Yang, Paul L. Rosin, Yu-Kun Lai, Xilin Chen. Learning on 3D Meshes with Laplacian Encoding and Pooling. IEEE Transactions on Visualization and Computer Graphics, 28(2): 1317-1327, 2022.

27 . Zhiling Wang, Weiqing Min, Zhuo Li, Liping Kang, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang. Ingredient-Guided Region Discovery and Relationship Modeling for Food Category-Ingredient Prediction. IEEE Trans. on Image Processing, 31: 5214-5226, 2022.

28 . Shuokai Li, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Zhenwei Tang, Wayne Xin Zhao and Qing He. Self-Supervised learning for Conversational Recommendation. Information Processing & Management, 59(6), 2022.

29 . Tianxin Wang, Fuzhen Zhuang, Ying Sun, Xiangliang Zhang, Leyu Lin, Feng Xia, Lei He, Qing He. Adaptively sharing multi-levels of distributed representations in multi-task learning. Information Sciences, 591, pp. 226-234, 2022.

30 . Chunrui Han, Shiguang Shan, Meina Kan, Shuzhe Wu and Xilin Chen. Personalized Convolution for Face Recognition. International Journal of Computer Vision (IJCV), vo. 130, pp. 344–362, 2022.

31 . Rongyu Cao, Yixuan Cao, Ganbin Zhou, Ping Luo. Extracting variable-depth logical document hierarchy from long documents: method, evaluation, and application. Journal of Computer Science and Technology, 37(3): 699-718, 2022.

32 . Shuxin Yang, Xian Wu, Shen Ge, S. Kevin Zhou, and Li Xiao. Knowledge Matters: Chest Radiology Report Generation with General and Specific Knowledge. Medical Image Analysis, 2022.

33 . Luyi Han, Yuanyuan Lu, Cheng Peng, and S. Kevin Zhou. GAN-based disentanglement learning for chest X-ray rib suppression. Medical Image Analysis, 2022.

34 . Jiaguang Song, Yuezhong Zhang, Shi Wang, Zhi Liu, Dianmin Sun. Neural network combining X-ray and ultrasound in breast examination. Neural Comput. Appl. 34(5): 3523-3535, 2022.

35 . Jiaguang Song, Yuezhong Zhang, Jinling Cheng, Shi Wang, Zhi Liu, Dianmin Sun. Non-invasive quantitative diagnosis of liver fibrosis with an artificial neural network. Neural Comput. Appl. 34(9): 6733-6744, 2022.

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