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2026 Conference Publication Lifting Manifolds to Mitigate Pseudo-Alignment in LLM4TSZheng, Liangwei Nathan, Liang, Wenhao, Zhang, Wei Emma, Xu, Miao, Maennel, Olaf and Chen, Weitong (2026). Lifting Manifolds to Mitigate Pseudo-Alignment in LLM4TS. New York, NY, USA: ACM. doi: 10.1145/3774904.3792280 |
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2025 Conference Publication Calibrating on Kolmogorov-Arnold networkLiang, Wenhao, Zhang, Wei Emma, Yue, Lin, Xu, Miao, Maennel, Olaf and Chen, Weitong (2025). Calibrating on Kolmogorov-Arnold network. 34th ACM International Conference on Information and Knowledge Management, Seoul, Republic of Korea, 10-14 November 2025. New York, NY, United States: ACM. doi: 10.1145/3746252.3761013 |
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2025 Conference Publication Calibrating on medical segmentation model through signed distanceLiang, Wenhao, Zhang, Wei Emma, Yue, Lin, Xu, Miao, Maennel, Olaf and Chen, Weitong (2025). Calibrating on medical segmentation model through signed distance. 34th Conference on Information and Knowledge Management-CIKM, Seoul, Republic of Korea, 10-14 November 2025. New York, NY, United States: ACM. doi: 10.1145/3746252.3761101 |
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2025 Conference Publication Adaptive spline networks in the Kolmogorov-Arnold framework: knot analysis and stability enhancementZheng, Liangwei Nathan, Zhang, Wei Emma, Yue, Lin, Xu, Miao, Maennel, Olaf and Chen, Weitong (2025). Adaptive spline networks in the Kolmogorov-Arnold framework: knot analysis and stability enhancement. 34th Conference on Information and Knowledge Management-CIKM, Seoul, Republic of Korea, 10-14 November 2025. New York, NY, United States: ACM. doi: 10.1145/3746252.3761135 |
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2025 Conference Publication Machine unlearning for streaming forgettingShen, Shaofei, Zhang, Chenhao, Zhao, Yawen, Bialkowski, Alina, Chen, Weitong and Xu, Miao (2025). Machine unlearning for streaming forgetting. 28th European Conference on Artificial Intelligence (ECAI-2025), Bologna, Italy, 25-30 October 2025. Amsterdam, Netherlands: IOS Press. doi: 10.3233/faia251194 |
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2025 Conference Publication Understanding why large language models can be ineffective in time series analysis: the impact of modality alignmentZheng, Liangwei Nathan, Dong, Chang, Zhang, Wei Emma, Yue, Lin, Xu, Miao, Maennel, Olaf and Chen, Weitong (2025). Understanding why large language models can be ineffective in time series analysis: the impact of modality alignment. 31st International Conference on Knowledge Discovery and Data Mining-KDD, Toronto, ON, Canada, 3-7 August 2025. New York, NY, United States: ACM. doi: 10.1145/3711896.3737169 |
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2025 Conference Publication Cross-view isolated sign language recognition challenge: design, results and future researchShen, Xin, Du, Heming, Xu, Miao, Liu, Miaomiao and Yu, Xin (2025). Cross-view isolated sign language recognition challenge: design, results and future research. WWW '25: The ACM Web Conference 2025, Sydney, NSW Australia, 28 April-2 May 2025. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3701716.3717522 |
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2025 Conference Publication Toward efficient data-free unlearningZhang, Chenhao, Shen, Shaofei, Chen, Weitong and Xu, Miao (2025). Toward efficient data-free unlearning. 39th AAAI Conference on Artificial Intelligence, Philadelphia, PA, United States, 25 February-4 March 2025. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v39i21.34393 |
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2024 Conference Publication Mining irregular time series data with noisy labels: A risk estimation approachHan, Kun, Koay, Abigail, Ko, Ryan K. L., Chen, Weitong and Xu, Miao (2024). Mining irregular time series data with noisy labels: A risk estimation approach. 35th Australasian Database Conference, ADC 2024, Gold Coast, QLD Australia, 16-18 December 2024. Singapore: Springer. doi: 10.1007/978-981-96-1242-0_22 |
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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 Unlearning From Weakly Supervised LearningTang, Yi, Gao, Yi, Luo, Yong-Gang, Yang, Ju-Cheng, Xu, Miao and Zhang, Min-Ling (2024). Unlearning From Weakly Supervised Learning. 33rd International Joint Conference on Artificial Intelligence (IJCAI), Jeju, South Korea, 3-9 August 2024. Freiburg, Germany: IJCAI. doi: 10.24963/ijcai.2024/553 |
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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 Machine Unlearning: Challenges in Data Quality and AccessXu, Miao (2024). Machine Unlearning: Challenges in Data Quality and Access. 33rd International Joint Conference on Artificial Intelligence (IJCAI), Jeju, South Korea, 3-9 August 2024. Freiburg, Germany: IJCAI. doi: 10.24963/ijcai.2024/987 |
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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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2024 Conference Publication What makes partial-label learning algorithms effective?Lv, Jiaqi, Liu, Yangfan, Xia, Shiyu, Xu, Ning, Xu, Miao, Niu, Gang, Zhang, Min-Ling, Sugiyama, Masashi and Geng, Xin (2024). What makes partial-label learning algorithms effective?. 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, BC, Canada, 10-15 December 2024. San Mateo, CA, United States: Morgan Kaufmann Publishers. |
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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, China, 1-4 December 2023. Piscataway, NJ United States: IEEE Computer Society. doi: 10.1109/ICDM58522.2023.00060 |
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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 |
