1 . Xiaofei Sun, Xiaoya Li, Yuxian Meng, Xiang Ao, Lingjuan Lyv, Jiwei Li, Tianwei Zhang. Defending Against Backdoor Attacks in Natural Language Generation. AAAI Conference on Artificial Intelligence, Washington, DC, USA, Feb. 7-14, 2023.

2 . Zixian Zhou, Mengda Huang, Feiyang Pan, Jia He, Xiang Ao，Dandan Tu, Qing He. Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning. AAAI Conference on Artificial Intelligence, Washington, DC, USA, Feb. 7-14, 2023.

3 . Chenze Shao, Jinchao Zhang, Jie Zhou, Yang Feng. Rephrasing the reference for non-autoregressive machine translation. AAAI Conference on Artificial Intelligence, pp. 13538-13546, Washington, DC, USA, Feb. 7-14, 2023.

4 . Peifeng Gao, Qianqian Xu, Peisong Wen, Huiyang Shao, Yuan He and Qingming Huang. Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ. AAAI Conference on Artificial Intelligence, pp. 7633–7641, Washington, DC, USA, Feb. 7-14, 2023.

5 . Guoxin Yu, Lemao Liu, Haiyun Jiang, Shuming Shi and Xiang Ao. Making Better Use of Training Corpus: Retrieval-based Aspect Sentiment Triplet Extraction via Label Interpolation. Annual Meeting of the Association for Computational Linguistics, Toronto, Canada, July 9-14, 2023.

6 . Qingkai Fang and Yang Feng. Back Translation for Speech-to-text Translation Without Transcripts. Annual Meeting of the Association for Computational Linguistics, pp. 4567–4587, Toronto, Canada, July 9-14, 2023.

7 . Yan Zhou, Qingkai Fang, and Yang Feng. CMOT: Cross-modal Mixup via Optimal Transport for Speech Translation. Annual Meeting of the Association for Computational Linguistics, pp. 7873–7887, Toronto, Canada, July 9-14, 2023.

8 . Bo Lv, Xin Liu, Shaojie Dai, Nayu Liu, Fan Yang, Ping Luo, Yue Yu. DSP: Discriminative Soft Prompts for Zero-Shot Entity and Relation Extraction. Annual Meeting of the Association for Computational Linguistics, pp. 5491–5505, Toronto, Canada, July 9-14, 2023.

9 . Shaolei Zhang and Yang Feng. End-to-End Simultaneous Speech Translation with Differentiable Segmentation. In Findings of the Association for Computational Linguistics. Annual Meeting of the Association for Computational Linguistics, pp. 7659–7680, Toronto, Canada, July 9-14, 2023.

10 . Shoutao Guo, Shaolei Zhang, and Yang Feng. Learning Optimal Policy for Simultaneous Machine Translation via Binary Search. Annual Meeting of the Association for Computational Linguistics, pp. 2318–2333, Toronto, Canada, July 9-14, 2023.

11 . Qingkai Fang and Yang Feng. Understanding and Bridging the Modality Gap for Speech Translation. Annual Meeting of the Association for Computational Linguistics, pp. 15864–15881, Toronto, Canada, July 9-14, 2023.

12 . Qingyue Wang, Liang Ding, Yanan Cao, Yibing Zhan, Zheng Lin, Shi Wang, etc. Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking. Annual Meeting of the Association for Computational Linguistics, Toronto, Canada, July 9-14, 2023.

13 . Junbao Zhuo, Xingyu Zhao, Shuhao Cui, Qingming Huang, Shuhui Wang. Adaptive Feature Swapping for Unsupervised Domain Adaptation. Proceedings of the 31st ACM International Conference on Multimedia, pp. 7017-7028, Ottawa, Canada, 2023.

14 . Hao Wei, Shuhui Wang, Zhe Xue, Shengbo Chen, Qingming Huang. Conversational Composed Retrieval with Iterative Sequence Refinement. Proceedings of the 31st ACM International Conference on Multimedia, pp. 6390-6399, Ottawa, Canada, 2023.

15 . Xiaomeng Fu, Xi Wang, Jin Liu, Shuhui Wang, Jiao Dai, Jizhong Han. CoP: Chain-of-Pose for Image Animation in Large Pose Changes. Proceedings of the 31st ACM International Conference on Multimedia, pp. 6969-6977, Ottawa, Canada, 2023.

16 . Xiaohan Wang, Yuehu Liu, Xinhang Song, Beibei Wang, Shuqiang Jiang: Generating Explanations for Embodied Action Decision from Visual Observation. Proceedings of the 31st ACM International Conference on Multimedia, pp. 2838-2846, Ottawa, Canada, 2023.

17 . Yan Zhu, Junbao Zhuo, Bin Ma, Jiajia Geng, Xiaoming Wei, Xiaolin Wei, Shuhui Wang. Orthogonal Temporal Interpolation for Zero-Shot Video Recognition. Proceedings of the 31st ACM International Conference on Multimedia, pp. 7491-7501, Ottawa, Canada, 2023.

18 . Pengfei Zhou, Weiqing Min, Yang Zhang, Jiajun Song, Ying Jin, Shuqiang Jiang. SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food Detection. Proceedings of the 31st ACM International Conference on Multimedia, pp. 8157-8166, Ottawa, Canada, 2023.

19 . Junbao Zhuo, Xingyu Zhao, Shuhui Wang, Huimin Ma, Qingming Huang. Synthesizing Videos from Images for Image-to-Video Adaptation. Proceedings of the 31st ACM International Conference on Multimedia, pp. 8294-8303, Ottawa, Canada, 2023.

20 . Yuchen Sun, Qianqian Xu, Zitai Wang and Qingming Huang. When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-k Multi-Label Learning. Proceedings of the 31st ACM International Conference on Multimedia, pp. 1515–1526, Ottawa, Canada, 2023.

21 . Wenxin Ni, Qianqian Xu, Yangbangyan Jiang, Zongsheng Cao, Xiaochun Cao and Qingming Huang. PSNEA: Pseudo-Siamese Network for Entity Alignment between Multi-modal Knowledge Graphs. Proceedings of the 31st ACM International Conference on Multimedia, pp. 3489–3497, Ottawa, Canada, 2023.

22 . Yiting Liu, Liang Li, Beichen Zhang, Shan Huang, Zheng-Jun Zha, Qingming Huang. MaTCR: Modality-Aligned Thought Chain Reasoning for Multimodal Task-Oriented Dialogue Generation. Proceedings of the 31st ACM International Conference on Multimedia, pp. 5776–5785, Ottawa, Canada, 2023.

23 . Qiankun Li, Xiaolong Huang, Zhifan Wan, Lanqing Hu, Shuzhe Wu, Jie Zhang, Shiguang Shan, Zengfu Wang. Data-Efficient Masked Video Modeling for Self-supervised Action Recognition. Proceedings of the 31st ACM International Conference on Multimedia, pp. 5776–5785, Ottawa, Canada, 2023.

24 . Jiong Yin, Liang Li, Jiehua Zhang, Chenggang Yan, Lei Zhang, Zunjie Zhu. Reducing Intrinsic and Extrinsic Data Biases for Moment Localization with Natural Language. Proceedings of the 31st ACM International Conference on Multimedia, pp. 4584–4594, Ottawa, Canada, 2023.

25 . Shuhan Kong, Liang Li, Beichen Zhang, Wenyu Wang, Bin. Jiang, Chenggang Yan, Changhao Xu. Dynamic Contrastive Learning with Pseudo-samples Intervention for Weakly Supervised Joint Video MR and HD. Proceedings of the 31st ACM International Conference on Multimedia, pp. 538–546, Ottawa, Canada, 2023.

26 . Yujian Yuan, Jiabei Zeng, Shiguang Shan. Describe Your Facial Expressions by Linking Image Encoders and Large Language Models. British Machine Vision Conference, Aberdeen, UK, Nov. 20-24, 2023.

27 . Songtao Luo, Shuang Yang, Shiguang Shan, Xilin Chen. Learning Separable Hidden Unit Contributions for Speaker-Adaptive Lip-Reading. British Machine Vision Conference, Aberdeen, UK, Nov. 20-24, 2023.

28 . Yifan Li, Hu Han, Shiguang Shan, Zhilong Ji, Jinfeng Bai, and Xilin Chen. ReCoT: Regularized Co-training for Facial Action Unit Recognition with Noisy Labels. British Machine Vision Conference, Aberdeen, UK, Nov. 20-24, 2023.

29 . Bingquan Xia, Shuang Yang, Shiguang Shan, Xilin Chen. UniLip: Learning Visual-Textual Mapping with Uni-Modal Data for Lip Reading. British Machine Vision Conference, Aberdeen, UK, Nov. 20-24, 2023.

30 . Feixiang Wang, Shuang Yang, Shiguang Shan, Xilin Chen. Cooperative Dual Attention for Audio-Visual Speech Enhancement with Visual Cues. British Machine Vision Conference (BMVC), Aberdeen, UK, Nov. 20-24, 2023.

31 . Nan Kang, Hong Chang, Bingpeng Ma, Shutao Bai, Shiguang Shan, Xilin Chen. Predictive Consistency Learning for Long-Tailed Recognition. British Machine Vision Conference (BMVC), Aberdeen, UK, Nov. 20-24, 2023.

32 . Yuyao Guo, Xiang Ao, Qiming Liu and Qing He. Leveraging Post-Click User Behaviors for Calibrated Conversion Rate Prediction Under Delayed Feedback in Online Advertising. ACM International Conference on Information and Knowledge Management (CIKM), Birmingham, UK, Oct. 21-25, 2023.

33 . Yuyao Guo, Xiang Ao, Qiming Liu, Qing He. Leveraging Post-Click User Behaviors for Calibrated Conversion Rate Prediction Under Delayed Feedback in Online Advertising. ACM International Conference on Information and Knowledge Management (CIKM), pp. 3918-3922, Birmingham, UK, Oct. 21-25, 2023.

34 . Xiaorong Qin, Xinhang Song, Shuqiang Jiang. Bi-level Meta-learning for Few-shot Domain Generalization. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 15900-15910, Vancouver, Canada, Jun. 18-22, 2023.

35 . Shikang Yu, Jiachen Chen, Hu Han, and Shuqiang Jiang. Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 24266-24275, Vancouver, Canada, Jun. 18-22, 2023.

36 . Yifan Li, Hu Han, Shiguang Shan, and Xilin Chen. DISC: Learning from Noisy Labels via Dynamic Instance-Specific Selection and Correction. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 24070-24079, Vancouver, Canada, Jun. 18-22, 2023.

37 . Chen Zhang, Guorong Li, Yuankai Qi, Shuhui Wang, Laiyun Qing, Qingming Huang, Ming-Hsuan Yang. Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection. IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 16271-16280, Vancouver, Canada, Jun. 18-22, 2023.

38 . Xiaodan Li, Yuefeng Chen, Yao Zhu, Shuhui Wang, Rong Zhang, Hui Xue. ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing. IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 20371-20381, Vancouver, Canada, Jun. 18-22, 2023.

39 . Xiangyang Li, Zihan Wang, Jiahao Yang, Yaowei Wang, Shuqiang Jiang. KERM: Knowledge Enhanced Reasoning for Vision-and-Language Navigation. IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 2583-2592, Vancouver, Canada, Jun. 18-22, 2023.

40 . Sixian Zhang, Xinhang Song, Weijie Li, Yubing Bai, Xinyao Yu, Shuqiang Jiang. Layout-Based Causal Inference for Object Navigation. IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 10792-10802, Vancouver, Canada, Jun. 18-22, 2023.

41 . Xin Cai, Jiabei Zeng, Shiguang Shan, Xilin Chen. Source-Free Adaptive Gaze Estimation by Uncertainty Reduction. IEEE/CVF Conference on Computer Vision and Pattern Recognition, Vancouver, Canada, Jun. 18-22, 2023.

42 . Lingxiao Li, Yi Zhang, Shuhui Wang. The Euclidean Space is Evil: Hyperbolic Attribute Editing for Few-shot Image Generation. IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 22714-22724, Vancouver, Canada, Jun. 18-22, 2023.

43 . Wenrui Liu, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen. Diversity-Measurable Anomaly Detection. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 12147-12156, Vancouver, Canada, Jun. 20-22, 2023.

44 . Sixian Zhang, Xinhang Song, Weijie Li, Yubing Bai, Xinyao Yu, Shuqiang Jiang. Layout-Based Causal Inference for Object Navigation. IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 10792-10802, Vancouver, Canada, Jun. 18-22, 2023.

45 . Yang Wang, Long Peng, Liang Li, Yang Cao, Zheng-Jun Zha. Decoupling-and-Aggregating for Image Exposure Correction. IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 18115-18124, Vancouver, Canada, Jun. 18-22, 2023.

46 . Gaoxiang Cong, Liang Li, Yuankai Qi, Zheng-Jun Zha, Qi Wu, Wenyu Wang, Bin. Jiang, Ming-Hsuan Yang, Qingming Huang. Learning to Dub Movies via Hierarchical Prosody Models. IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 14687-14697, Vancouver, Canada, Jun. 18-22, 2023.

47 . Shuai Ma, Wenbin Jiang, Xiang Ao, Meng Tian, Xinwei Feng, Yajuan Lyu, Qiaoqiao She and Qing He. Semantic-Driven Instance Generation for Table Question Answering. International Conference on Database Systems for Advanced Applications (DASFAA), Tianjin, China, Apr. 17-20, 2023.

48 . Chaoxu Pang, Yixuan Cao, Qiang Ding, Ping Luo. Guideline Learning for In-Context Information Extraction. In the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Singapore, Dec. 6-10, 2023.

49 . Guoxin Yu, Lemao Liu, Haiyun Jiang, Shuming Shi and Xiang Ao. Retrieval-Augmented Few-shot Text Classification. In the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Singapore, Dec. 6-10, 2023.

50 . Zhang Zhuocheng, Shuhao Gu, Min Zhang, and Yang Feng. Addressing the Length Bias Challenge in Document-Level Neural Machine Translation. In Findings of the Association for Computational Linguistics. In the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 11545–11556, Singapore, Dec. 6-10, 2023.

51 . Wenyu Guo, Qingkai Fang, Dong Yu, and Yang Feng. Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation. In the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 2863–2874, Singapore, Dec. 6-10, 2023.

52 . Langlin Huang, Shuhao Gu, Zhang Zhuocheng, and Yang Feng. Enhancing Neural Machine Translation with Semantic Units. In Findings of the Association for Computational Linguistics. In the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 2264–2277, Singapore, Dec. 6-10, 2023.

53 . Zhengrui Ma, Shaolei Zhang, Shoutao Guo, Chenze Shao, Min Zhang, and Yang Feng. Non-autoregressive Streaming Transformer for Simultaneous Translation. In the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 5177–5190, Singapore, Dec. 6-10, 2023.

54 . Zhang Zhuocheng, Shuhao Gu, Min Zhang, and Yang Feng. Scaling Law for Document Neural Machine Translation. In Findings of the Association for Computational Linguistics. In the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 8290–8303, Singapore, Dec. 6-10, 2023.

55 . Shoutao Guo, Shaolei Zhang, and Yang Feng. Simultaneous Machine Translation with Tailored Reference. In Findings of the Association for Computational Linguistics. In the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 3070–3084, Singapore, Dec. 6-10, 2023.

56 . Hao Li, Yanan Cao, Yubing Ren, Fang Fang, Lanxue Zhang, Yingjie Li, Shi Wang. Intra-Event and Inter-Event Dependency-Aware Graph Network for Event Argument Extraction. In the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Singapore, Dec. 6-10, 2023.

57 . Fei Chang, Jiabei Zeng, Qiaoyun Liu, Shiguang Shan. Gaze Pattern Recognition in Dyadic Communication. Proceedings of the 2023 Symposium on Eye Tracking Research and Applications(ETRA), Tübingen, Germany, May. 30-Jun. 2, 2023.

58 . Haomiao Sun, Shiguang San, and Hu Han. Intrinsic Imaging Model Enhanced Contrastive Face Representation Learning, IEEE International Conference on Automatic Face and Gesture Recognition (FG), pp. 1-8, Hawaii, USA, Jan. 5-8, 2023.

59 . Kunyan Li, Jie Zhang, Shiguang Shan. Self-supervised Learning for Fine-grained Ethnicity Classification under Limited Labeled Data. IEEE International Conference on Automatic Face and Gesture Recognition (FG), Hawaii, USA, Jan. 5-8, 2023.

60 . Jicun Li, Xingjian Li, Tianyang Wang, Shi Wang, Yanan Cao, Chengzhong Xu, Dejing Dou. Improving Bert Fine-Tuning via Stabilizing Cross-Layer Mutual Information. IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP), pp. 1-5, Rhodes Island, Greece, Jun. 4-9, 2023.

61 . Huiyang Shao, Qianqian Xu, Peisong Wen, Gao Peifeng, Zhiyong Yang and Qingming Huang. Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild. IEEE/CVF International Conference on Computer Vision (ICCV), pp. 20259–20269, Paris, France, Oct. 4-6, 2023.

62 . Lanqing Hu, Meina Kan, Shiguang Shan, Xilin Chen. DandelionNet: Domain Composition with Instance Adaptive Classification for Domain Generalization. IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, Oct. 4-6, 2023.

63 . Zihan Wang, Xiangyang Li, Jiahao Yang, Yeqi Liu, Shuqiang Jiang. GridMM: Grid Memory Map for Vision-and-Language Navigation. Proceedings of the IEEE/CVF Conference on International Conference on Computer Vision (ICCV), pp. 15625-15636, Paris, France, Oct. 4-6, 2023.

64 . Zhenhuan Liu, Liang Li, Jiayu Xiao, Zhengjun Zha, Qingming Huang. Text-Driven Generative Domain Adaptation with Spectral Consistency Regularization. IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, Oct. 2-6, 2023.

65 . Yunbin Tu, Liang Li, Li Su, Zheng-Jun Zha, Chenggang Yan, Qingming Huang. Self-Supervised Cross-View Representation Reconstruction for Change Captioning.IEEE/CVF International Conference on Computer Vision (ICCV), pp. 2805-2815, Paris, France, Oct. 4-6, 2023.

66 . Yang Liu, Xiang Ao, Linfeng Dong, Chao Zhang, Jin Wang and Qing He. Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding (Extended Abstract). IEEE International Conference on Data Engineering (ICDE, IEEE TKDE Poster Track), Anaheim, CA, USA, 2023.

67 . Zhenyu Li, Xiuxing Li, Duan Zhichao, Bowen Dong, Ning Liu, Jianyong Wang. Toward a Unified Framework for Unsupervised Complex Tabular Reasoning. IEEE International Conference on Data Engineering (ICDE), pp. 1691-1704, Anaheim, CA, USA, 2023.

68 . Qingyu Guo , Fuzhen Zhuang , Chuan Qin , Hengshu Zhu, Xing Xie, Hui Xiong, Qing He. A Survey on Knowledge Graph-Based Recommender Systems (Extended abstract). IEEE International Conference on Data Engineering (ICDE), pp. 3803-3804, Anaheim, CA, USA, 2023.

69 . Zhao Yang, Junhong Lian and Xiang Ao. Fact-Preserved Personalized News Headline Generation. IEEE International Conference on Data Mining (ICDM), Shanghai, China, Dec. 1-4, 2023.

70 . Dongyang Liu, Meina Kan, Shiguang Shan, Xilin Chen. Function-Consistent Feature Distillation. International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 1-5, 2023.

71 . Kuan Li, Yang Liu, Xiang Ao and Qing He. Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective. International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 1-5, 2023.

72 . Zhengrui Ma, Chenze Shao, Shangtong Gui, Min Zhang and Yang Feng. Fuzzy Alignments in Directed Acyclic Graph for Non-autoregressive Machine Translation. International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 1-5, 2023.

73 . Shaolei Zhang, Yang Feng. Hidden Markov Transformer for Simultaneous Machine Translation. International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 1-5, 2023.

74 . Kuan Li, Yang Liu, Xiang Ao, Qing He. Rethinking Graph Adversarial Attack and Defense from a Data Distribution Perspective. International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 1-5, 2023.

75 . Zhongqi Wang, Jie Zhang, Zhilong Ji, Jinfeng Bai, Shiguang Shan. CCLAP: Controllable Chinese Landscape Painting Generation via Latent Diffusion Model. IEEE International Conference on Multimedia and Expo (ICME), Brisbane, Australia, Jul. 10 - 14, 2023.

76 . Junshu Sun, Shuhui Wang, Xinzhe Han, Zhe Xue, Qingming Huang. All in a row: compressed convolution networks for graphs. International Conference on Machine Learning, pp. 33061-33076, Honolulu, Hawaii USA, Jul. 23-29, 2023.

77 . Zhengqi Pei, Shuhui Wang. Dynamics-inspired neuromorphic visual representation learning. International Conference on Machine Learning, pp. 27521-27541, Honolulu, Hawaii USA, Jul. 23-29, 2023.

78 . Peifeng Gao, Qianqian Xu, Peisong Wen, Zhiyong Yang, Huiyang Shao and Qingming Huang. Feature Directions Matters: Long-Tailed Learning via Rotated Balanced Representation. International Conference on Machine Learning, pp. 27542–27563, Honolulu, Hawaii USA, Jul. 23-29, 2023.

79 . Guang-yu Cheng, Shuo Yu, Wen-bin Jiang, Shuai Ma, Xiang Ao, Qing He. Lifting the Answer: Reranking Candidates on Data Augmented Text-to-SQL. In ICMLC-ICWAPR 2023, Adelaide, Australia, Jul. 9-11, 2023.

80 . Yang Liu, Xiang Ao, Fuli Feng, Yunshan Ma, Kuan Li, Tat-Seng Chua and Qing He. FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs. In the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Long Beach, CA, USA, Aug. 6-10, 2023.

81 . Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu and Qing He. Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. In the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Long Beach, CA, USA, Aug. 6-10, 2023.

82 . Can Liu, Yuncong Gao, Li Sun, Jinghua Feng, Hao Yang, and Xiang Ao. User Behavior Pre-training for Online Fraud Detection. In the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Long Beach, CA, USA, Aug. 6-10, 2023..

83 . Jiachen Liang, RuiBing Hou, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen. Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation. Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, LA, Dec. 10-16, 2023.

84 . Ziyi Bai, Ruiping Wang, Xilin Chen. Glance and Focus: Memory Prompting for Multi-Event Video Question Answering. Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, LA, Dec. 10-16, 2023.

85 . Qiang Ding, Yixuan Cao, and Ping Luo. Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective Classification. Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, LA, Dec. 10-16, 2023.

86 . Huiyang Shao, Qianqian Xu, Zhiyong Yang, Peisong Wen, Gao Peifeng and Qingming Huang. Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning. Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, LA, Dec. 10-16, 2023.

87 . Minyang Hu, Hong Chang, Zong Guo, Bingpeng Ma, Shiguang Shan, Xilin Chen. Understanding Few-Shot Learning: Measuring Task Relatedness and Adaptation Difficulty via Attributes. Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, US, Dec. 10-16, 2023.

88 . Xiaohan Wang, Yuehu Liu, Xinhang Song, Beibei Wang, Shuqiang Jiang. CaMP: Causal Multi-policy Planning for Interactive Navigation in Multi-room Scenes. Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, LA, Dec. 10-16, 2023.

89 . Shaolei Zhang, Yang Feng.  Unified Segment-to-Segment Framework for Simultaneous Sequence Generation.  Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, LA, Dec. 10-16, 2023.

90 . Ruibin Yuan, Yinghao Ma, Yizhi LI, Ge Zhang, Shi Wang, Ruibo Liu, Yike Guo, Jie Fu. MARBLE: Music Audio Representation Benchmark for Universal Evaluation. Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, LA, Dec. 10-16, 2023.

91 . Qingkai Fang, Yan Zhou, Yang Feng.  DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation. Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, LA, Dec. 10-16, 2023.

92 . Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao and Qingming Huang. A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning. Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, LA, Dec. 10-16, 2023.

93 . Chenze Shao*, Zhengrui Ma*, Min Zhang, Yang Feng.  Beyond MLE: Convex Loss for Text Generation. Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, LA, Dec. 10-16, 2023.

94 . Shangtong Gui, Chenze Shao, Zhengrui Ma, Xishan Zhang, Yunji Chen, Yang Feng.  Non-autoregressive Machine Translation with Probabilistic Context-free Grammar. Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, LA, Dec. 10-16, 2023.

95 . Siran Dai, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang. DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework. Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, LA, Dec. 10-16, 2023.

96 . Qiming Liu, Haoming Li, Xiang Ao, Yuyao Guo, Zhihong Dong, Ruobing Zhang, Qiong Chen, Jianfeng Tong and Qing He. Online Conversion Rate Prediction via Neural Satellite Networks in Delayed Feedback Advertising. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 1406-1415, Taipei, China, Jul. 23-27, 2023.

97 . Shuokai Li, Jingbo Zhou, Jizhou Huang, Hao Chen, Fuzhen Zhuang, Qing He, Dejing Dou. Matching Point of Interests and Travel Blog with Multi-view Information Fusion. In the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 2149-2153, Taipei, China, Jul. 23-27, 2023.

98 . Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He. Attacking Pre-trained Recommendation. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 1811-1815, Taipei, China, Jul. 23-27, 2023.

99 . Fengyuan Yang, Ruiping Wang, Xilin Chen. Semantic Guided Latent Parts Embedding for Few-Shot Learning. IEEE Winter Conference of Applications on Computer Vision (WACV ), pp. 5436-5446, Waikoloa, HI, Jan. 3-7, 2023.

1 . Qizheng Wang, Meiyi Yao, Xinhang Song, et al.. Automated Segmentation and Classification of Knee Synovitis Based on MRI Using Deep Learning. Academic Radiology, 2023.

2 . Xiang Ao, Ling Luo, Xiting Wang, Zhao Yang, Jiun-hung Chen, Ying Qiao, Qing He and Xing Xie. Put Your Voice on Stage: Personalized Headline Generation for News Articles. ACM Transactions on Knowledge Discovery from Data, Vol. 18, No. 3, pp. 1-20, 2023,

3 . Sujuan Hou, Jiacheng Li, Weiqing Min, Qiang Hou, Yanna Zhao, Yuanjie Zheng, Shuqiang Jiang. Deep Learning for Logo Detection: A Survey, ACM Transactions on Multimedia Computing, Communications and Applications, Vol. 20, No. 3, pp. 1-23, 2023.

4 . Weigang Zhang, Zhaobo Qi, Shuhui Wang, Chi Su, Li Su, Qingming Huang. Temporal Dynamic Concept Modeling Network for Explainable Video Event Recognition. ACM Transactions on Multimedia Computing, Communications and Applications, Vol. 19, No. 6, pp. 1-22, 2023.

5 . Jiajun Song, Zhuo Li, Weiqing Min, Shuqiang Jiang. Towards Food Image Retrieval via Generalization-oriented Sampling and Loss Function Design, ACM Transactions on Multimedia Computing, Communications and Applications, Vol. 20, No. 1, pp. 1-19, 2023.

6 . Weidong Chen, Guorong Li, Xinfeng Zhang, Shuhui Wang, Liang Li, Qingming Huang. Weakly Supervised Text-based Actor-Action Video Segmentation by Clip-level Multi-instance Learning. ACM Transactions on Multimedia Computing, Communications and Applications, Vol. 19, No. 1, pp. 1-22, 2023.

7 . Weiqing Min, Zhiling Wang, Jiahao Yang, Chunlin Liu, Shuqiang Jiang. Vision-based fruit recognition via multi-scale attention CNN. Computers and Electronics in Agriculture, Vol. 210, 2023.

8 . Wenjing Shao, Weiqing Min, Sujuan Hou, Mengjiang Luo, Tianhao Li and Yuanjie Zheng and Shuqiang Jiang. Vision-based Food Nutrition Estimation via RGB-D Fusion Network. Food Chemistry, Vol. 424, 2023.

9 . Tianhao Li, Wensong Wei, Weiqing Min, Shujuan Xing, Chunjiang Zhang, Shuqiang Jiang. Deep Learning-based Near-infrared Hyperspedtral Imaging for Food Nutrition Estimation. Foods, Vol. 12, No 17, pp. 3145, 2023.

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

11 . Yong Li, Shiguang Shan. Meta Auxiliary Learning for Facial Action Unit Detection. IEEE Transactions on Affective Computing, Vol. 14, No. 3, pp. 2526-2538, 2023.

12 . Yude Wang, Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen. BLPSeg: Balance the Label Preference in Scribble-Supervised Semantic Segmentation. IEEE Trans. on Image Processing (TIP), vol. 32, pp. 4921 – 4934, 2023-08-21.

13 . Yunbin Tu, Liang Li, Li Su, Junping Du, Ke Lu, Qingming Huang. Viewpoint-Adaptive Representation Disentanglement Network for Change Captioning. IEEE Transactions on Image Processing, Vol. 32, pp. 2620-2635, 2023.

14 . Shikang Yu, Hu Han, Shiguang Shan, and Xilin Chen. CMOS-GAN: Semi-supervised Generative Adversarial Model for Cross-Modality Face Image Synthesis, IEEE Transactions on Image Processing (TIP), Vol. 32, pp. 144-158, 2023.

15 . Xinhang Song, Chenlong Liu, Haitao Zeng, Yaohui Zhu, Gongwei Chen, Xiaorong Qin, Shuqiang Jiang: Composite Object Relation Modeling for Few-Shot Scene Recognition. IEEE Transactions on Image Processing (TIP), Vol. 32, pp. 5678-5691, 2023.

16 . Mengjiang Luo, Weiqing Min, Zhiling Wang, Jiajun Song, Shuqiang Jiang. Ingredient Prediction via Context Learning Network with Class-Adaptive Asymmetric Loss. IEEE Transaction on Image Processing, Vol. 32, pp. 5509-5523, 2023.

17 . Jiahao Yang, Xiangyang Li, Mao Zheng, Zihan Wang, Yongqing Zhu, Xiaoqian Guo, Yuchen Yuan, Zifeng Chai, Shuqiang Jiang. MemBridge: Video-Language Pre-training with Memory-Augmented Inter-Modality Bridge. IEEE Transactions on Image Processing (TIP), vol. 32, pp. 4073-4087, 2023.

18 . Haitao Zeng, Xinhang Song, Shuqiang Jiang: Multi-Object Navigation Using Potential Target Position Policy Function. IEEE Transactions on Image Processing (TIP), Vol. 32, pp. 2608-2619, 2023.

19 . Xiaoqian Guo, Xiangyang Li, Yaowei Wang, Shuqiang Jiang. TransWeaver: Weave Image Pairs for Class Agnostic Common Object Detection. IEEE Transactions on Image Processing (TIP), vol. 32, pp. 2947-2959, 2023.

20 . Xingming Long, Jie Zhang, Shuzhe Wu, Xin Jin, Shiguang Shan. Dual Sampling Based Causal Intervention for Face Anti-Spoofing with Identity Debiasing. IEEE Transactions on Information Forensics and Security (TIFS), Vol. 19, pp. 851-862, 2023.

21 . Zhao Zhang, Fuzhen Zhuang, Heng 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, Vol. 35, No. 4, pp. 4321-4334, 2023.

22 . Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong. Modeling the Impact of Person-Organization Fit on Talent Management with Structure-Aware Attentive Neural Networks. IEEE Transactions on Knowledge and Data Engineering, Vol. 35, No. 3, pp. 2809-2822, 2023.

23 . Yongqing Zhu, Xiangyang Li, Mao Zheng, Jiahao Yang, Zihan Wang, Xiaoqian Guo, Zifeng Chai, Yuchen Yuan, Shuqiang Jiang. Focus and Align: Learning Tube Tokens for Video-Language Pre-training. IEEE Transactions on Multimedia (TMM), Vol. 25, pp. 8036 - 8050, 2023.

24 . Cheng Wang, Bingpeng Ma, Hong Chang, Shiguang Shan and Xilin Chen. Person Search by a Bi-directional Task-Consistent Learning Model. IEEE Transactions on Multimedia (TMM), vol. 25, pp. 1190-1203, 2023.

25 . Junbao Zhuo, Shuhui Wang, and Qingming Huang. Uncertainty Modeling for Robust Domain Adaptation Under Noisy Environments. IEEE Transactions on Multimedia (TMM), Vol. 25, pp. 6157 - 6170, 2023.

26 . Ke Ma, Qianqian Xu, Jinshan Zeng, Guorong Li, Xiaochun Cao and Qingming Huang. A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation is the Fixed Point of Adversarial Game. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 4, pp. 4090-4108, 2023.

27 . Yangbangyan Jiang, Xiaodan Li, Yuefeng Chen, Yuan He, Qianqian Xu, Zhiyong Yang, Xiaochun Cao and Qingming Huang. MaxMatch: Semi-Supervised Learning with Worst-Case Consistency. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 5, pp. 5970-5987, 2023.

28 . Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao and Qingming Huang. Optimizing Partial Area Under the Top-k Curve: Theory and Practice. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 4, pp. 5053-5069, 2023.

29 . Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao and Qingming Huang. Optimizing Two-way Partial AUC with an End-to-end Framework. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 45, No. 8, pp. 10228-10246, Aug. 2023.

30 . Shilong Bao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao and Qingming Huang. Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no.1, pp. 1017-1035, 2023.

31 . Qianqian Xu, Zhiyong Yang, Yunrui Zhao, Xiaochun Cao and Qingming Huang. Rethinking Label Flipping Attack: From Sample Masking to Sample Thresholding. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 6, pp. 7668-7685, 2023.

32 . Zhiyong Yang, Qianqian Xu, Shilong Bao, Peisong Wen, Yuan He, Xiaochun Cao and Qingming Huang. AUC-Oriented Domain Adaptation: From Theory to Algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 45, No. 12, pp. 14161–14174, Dec. 2023.

33 . Difei Gao, Ruiping Wang, Shiguang Shan, Xilin Chen. CRIC: A VQA Dataset for Compositional Reasoning on Vision and Commonsense. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 5, pp. 5561-5578, May 2023.

34 . Shuqiang Jiang, Yaohui Zhu, Chenlong Liu, Xinhang Song, Xiangyang Li, Weiqing Min. Dataset Bias in Few-shot Image Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 1, pp. 229-246, 2023.

35 . Ruibing Hou, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen. Dual Compensation Residual Networks for Class Imbalanced Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 45, No. 10, pp. 11733-11752, 2023.

36 . Xinzhe Han, Shuhui Wang, Chi Su, Qingming Huang, Qi Tian. General Greedy De-bias Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 45, No. 8, pp. 9789 - 9805, 2023.

37 . Weiqing Min, Zhiling Wang, Yuxin Liu, Mengjiang Luo, Liping Kang, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang. Large Scale Visual Food Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 45, No. 8, pp. 9932-9949, 2023.

38 . Yangbangyan Jiang, Qianqian Xu, Yunrui Zhao, Zhiyong Yang, Peisong Wen, Xiaochun Cao, and Qingming Huang. Positive-Unlabeled Learning with Label Distribution Alignment. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 45, No. 12, pp. 15345–15363, Dec. 2023.

39 . Zhiyong Yang, Qianqian Xu, Wenzheng Hou, Shilong Bao, Yuan He, Xiaochun Cao and Qingming Huang. Revisiting AUC-oriented Adversarial Training with Loss-Agnostic Perturbations. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 45, No. 12, pp. 15494–15511, Dec. 2023.

40 . Zhaobo Qi, Shuhui Wang, Chi Su, Li Su, Qingming Huang, Qi Tian. Self-Regulated Learning for Egocentric Video Activity Anticipation. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 45, No. 6, pp. 6715-6730, 2023.

41 . Hao Wang, Zheng-Jun Zha, Liang Li, Xuejin Chen, Jiebo Luo. Semantic and Relation Modulation for Audio-Visual Event Localization. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 45, No. 6, pp. 7711-7725, 2023.

42 . Tianwei Cao, Qianqian Xu, Zhiyong Yang and Qingming Huang. Mitigating Confounding Bias in Practical Recommender Systems with Partially Inaccessible Exposure Status. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.

43 . Xuejing Liu, Liang Li, Shuhui Wang, Zheng-Jun Zha, Zechao Li, Qi Tian, Qingming Huang. Entity-Enhanced Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). Vol. 45, No. 3, pp. 3003-3018, 2023.

44 . Wenbin Wang, Ruiping Wang, Shiguang Shan, Xilin Chen. Importance First: Generating Scene Graph of Human Interest. International Journal of Computer Vision, vol. 131, no. 10, pp. 2489-2515, Oct. 2023.

45 . Jingyi Gao, Dongfang Yang, Shi Wang, Zhaoting Li, Licheng Wang, Kai Wang. State of health estimation of lithium-ion batteries based on Mixers-bidirectional temporal convolutional neural network. Journal of Energy Storage, Vol. 73, pp. 109248, 2023.

46 . Lingfei Ren, Ruimin Hu, Yang Liu, Dengshi Li, Junhang Wu, Yilong Zang, Wenyi Hu. Improving fraud detection via imbalanced graph structure learning. Machine Learning, 2023.

47 . Shishi Qiao, Ruiping Wang, Shiguang Shan, Xilin Chen. Hierarchical Disentangling Network for Object Representation Learning. Pattern Recognition, vol. 140, pp. 1-15, Aug. 2023.

48 . Bowen Dong, Zhuo Wang, Zhenyu Li, Zhichao Duan, Jiacheng Xu, Tengyu Pan, Rui Zhang, Ning Liu, Xiuxing Li, Jie Wang, Caiyan Liu, Liling Dong, Chenhui Mao, Jing Gao & Jianyong Wang. Toward a stable and low-resource PLM-based medical diagnostic system via prompt tuning and MoE structure. Scientific Reports, 13(1): 12595, 2023.

49 . Tianyu Zhang, Weiqing Min, Xinyang Han, Shuqiang Jiang. A Survey on Future Action Anticipation in Videos. CHINESE JOURNAL OF COMPUTERS, Vol. 46, No. 6, pp. 1315-1338, 2023.

50 . Ruibing Hou, Hong Chang, Bingpeng Ma, Rui Huang, Shiguang Shan. Temporal Multi-Scale Complementary Feature for Video Person Re-Identification. CHINESE JOURNAL OF COMPUTERS, Vol 46, No. 1, pp. 31-50, 2023.

51 . 何清, 罗平, 曹逸轩. 大语言模型的技术发展及金融领域应用展望. 金融电子化，2023.

52 . 李笑颜, 阚美娜, 梁浩, 山世光. 概率图采样图像增广驱动的弱监督物体检测. 中国图象图形学报, Vol. 28, No.7, pp. 2037-2053，2023.