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2024 Conference Publication Emotionally guided symbolic music generation using diffusion models: the AGE-DM approachZhang, Mingzhe, Ferris, Laura J., Yue, Lin and Xu, Miao (2024). Emotionally guided symbolic music generation using diffusion models: the AGE-DM approach. MMAsia '24, Auckland, New Zealand, 3 - 6 December 2024. New York, NY, United States: ACM. doi: 10.1145/3696409.3700289 |
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2024 Conference Publication Irregularity-informed time series analysis: adaptive modelling of spatial and temporal dynamicsZheng, Liangwei Nathan, Li, Zhengyang, Dong, Chang George, Zhang, Wei Emma, Yue, Lin, Xu, Miao, Maennel, Olaf and Chen, Weitong (2024). Irregularity-informed time series analysis: adaptive modelling of spatial and temporal dynamics. 33rd ACM International Conference on Information and Knowledge Management (CIKM), Boise, ID, United States, 21-25 October 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3627673.3679716 |
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2024 Conference Publication Inspecting prediction confidence for detecting black-box backdoor attacks Wang, Tong, Yao, Yuan, Xu, Feng, Xu, Miao, An, Shengwei and Wang, Ting (2024). Inspecting prediction confidence for detecting black-box backdoor attacks . Thirty-Eighth AAAI Conference on Artificial Intelligence, Vancouver, Canada, 20-27 February 2024. Washington, DC, United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v38i1.27780 |
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2024 Conference Publication CaMU: Disentangling Causal Effects in Deep Model UnlearningShen, Shaofei, Zhang, Chenhao, Bialkowski, Alina, Chen, Weitong and Xu, Miao (2024). CaMU: Disentangling Causal Effects in Deep Model Unlearning. 2024 SIAM InternationalConference on Data Mining (SDM'24), Houston, TX United States, 18 - 20 April 2024. Philadelphia, PA United States: Society for Industrial and Applied Mathematics Publications. doi: 10.1137/1.9781611978032.89 |
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2024 Conference Publication Label-agnostic forgetting: a supervision-free unlearning in deep modelsShen, Shaofei, Zhang, Chenhao, Zhao, Yawen, Chen, Weitong, Bialkowski, Alina and Xu, Miao (2024). Label-agnostic forgetting: a supervision-free unlearning in deep models. 12th International Conference on Learning Representations, ICLR 2024, Vienna, Austria, 7-11 May 2024. Vienna, Austria: International Conference on Learning Representations, ICLR. |
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2023 Conference Publication Unbiased risk estimator to multi-labeled complementary label learningGao, Yi, Xu, Miao and Zhang, Min-Ling (2023). Unbiased risk estimator to multi-labeled complementary label learning. 32nd International Joint Conference on Artificial Intelligence (IJCAI), Macao, Peoples Republic of China, 19-25 August 2023. Freiburg, Germany: International Joint Conference on Artificial Intelligence. doi: 10.24963/ijcai.2023/415 |
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2023 Conference Publication Death comes but why: an interpretable illness severity predictions in ICUShen, Shaofei, Xu, Miao, Yue, Lin, Boots, Robert and Chen, Weitong (2023). Death comes but why: an interpretable illness severity predictions in ICU. Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data, Nanjing, China, 11-13 August 2022. Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-25158-0_6 |
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2023 Conference Publication A progressive sampling method for dual -node imbalanced learning with restricted data accessQiu, Yixuan, Chen, Weitong and Xu, Miao (2023). A progressive sampling method for dual -node imbalanced learning with restricted data access. 23rd IEEE International Conference on Data Mining (IEEE ICDM), Shanghai, Peoples R China, 1-4 December 2023. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/ICDM58522.2023.00060 |
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2022 Conference Publication Positive-unlabeled learning using random forests via recursive greedy risk minimizationWilton, Jonathan, Koay, Abigail M. Y., Ko, Ryan K. L., Miao Xu and Ye, Nan (2022). Positive-unlabeled learning using random forests via recursive greedy risk minimization. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, United States, 29 November - 1 December 2022. New Orleans, LA, United States: Neural information processing systems foundation. |
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2022 Conference Publication Fair Representation Learning: An Alternative to Mutual InformationLiu, Ji, Li, Zenan, Yao, Yuan, Xu, Feng, Ma, Xiaoxing, Xu, Miao and Tong, Hanghang (2022). Fair Representation Learning: An Alternative to Mutual Information. KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC United States, 14 - 18 August 2022. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3534678.3539302 |
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2022 Conference Publication Towards better generalization for neural network-based SAT solversZhang, Chenhao, Zhang, Yanjun, Mao, Jeff, Chen, Weitong, Yue, Lin, Bai, Guangdong and Xu, Miao (2022). Towards better generalization for neural network-based SAT solvers. 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, 16-19 May 2022. CHAM: Springer Science and Business Media Deutschland GmbH. doi: 10.1007/978-3-031-05936-0_16 |
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2022 Conference Publication A boosting algorithm for training from only unlabeled dataZhao, Yawen, Yue, Lin and Xu, Miao (2022). A boosting algorithm for training from only unlabeled data. 18th International Conference on Advanced Data Mining and Applications, ADMA 2022, Brisbane, QLD, Australia, 28-30 November 2022. Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-22137-8_34 |
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2022 Conference Publication Improving traffic load prediction with multi-modality: a case study of BrisbaneTran, Khai Phan, Chen, Weitong and Xu, Miao (2022). Improving traffic load prediction with multi-modality: a case study of Brisbane. 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, 2-4 February 2022. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-97546-3_21 |
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2022 Conference Publication Investigating active positive-unlabeled learning with deep networksHan, Kun, Chen, Weitong and Xu, Miao (2022). Investigating active positive-unlabeled learning with deep networks. Australasian Joint Conference on Artificial Intelligence (AI), Electr Network, 2-4 February 2022. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-030-97546-3_49 |
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2022 Conference Publication ESTD: Empathy Style Transformer with Discriminative MechanismZhang, Mingzhe, Yue, Lin and Xu, Miao (2022). ESTD: Empathy Style Transformer with Discriminative Mechanism. 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, 28-30 November 2022. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-22137-8_5 |
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2022 Conference Publication What leads to arrhythmia: active causal representation learning of ECG classificationShen, Shaofei, Chen, Weitong and Xu, Miao (2022). What leads to arrhythmia: active causal representation learning of ECG classification. 35th Australasian Joint Conference, AI 2022, Perth, WA, Australia, 5-8 December 2022. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-22695-3_35 |
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2022 Conference Publication STCT: Spatial-temporal conv-transformer network for cardiac arrhythmias recognitionQiu, Yixuan, Chen, Weitong, Yue, Lin, Xu, Miao and Zhu, Baofeng (2022). STCT: Spatial-temporal conv-transformer network for cardiac arrhythmias recognition. International Conference on Advanced Data Mining and Applications, Sydney, NSW, Australia, 2-4 February 2022. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-95405-5_7 |
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2021 Conference Publication Multi-hop reading on memory neural network with selective coverage for medication recommendationWang, Yanda, Chen, Weitong, Pi, Dechang, Yue, Lin, Xu, Miao and Li, Xue (2021). Multi-hop reading on memory neural network with selective coverage for medication recommendation. ACM International Conference on Information & Knowledge Management, Virtual Event, 1-5 November 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3459637.3482278 |
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2021 Conference Publication Positive-unlabeled learning from imbalanced dataSu, Guangxin, Chen, Weitong and Xu, Miao (2021). Positive-unlabeled learning from imbalanced data. Thirtieth International Joint Conference on Artificial Intelligence, Montreal, Canada, 19-27 August 2021. California, United States: International Joint Conferences on Artificial Intelligence Organization. doi: 10.24963/ijcai.2021/412 |
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2021 Conference Publication Self-supervised adversarial distribution regularization for medication recommendationWang, Yanda, Chen, Weitong, PI, Dechang, Yue, Lin, Wang, Sen and Xu, Miao (2021). Self-supervised adversarial distribution regularization for medication recommendation. Thirtieth International Joint Conference on Artificial Intelligence, Montreal, Canada, 19-27 August 2021. California, United States: International Joint Conferences on Artificial Intelligence Organization. doi: 10.24963/ijcai.2021/431 |
