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2023 Conference Publication Semi-decentralized federated ego graph learning for recommendationQu, Liang, Tang, Ningzhi, Zheng, Ruiqi, Nguyen, Quoc Viet Hung, Huang, Zi, Shi, Yuhui and Yin, Hongzhi (2023). Semi-decentralized federated ego graph learning for recommendation. The ACM Web Conference 2023, Austin, TX United States, 30 April - 4 May 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3543507.3583337 |
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2023 Conference Publication Beyond double ascent via recurrent neural tangent kernel in sequential recommendationQiu, Ruihong, Huang, Zi and Yin, Hongzhi (2023). Beyond double ascent via recurrent neural tangent kernel in sequential recommendation. 22nd IEEE International Conference on Data Mining (ICDM), Orlando, FL USA, 28 November-1 December 2022. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/icdm54844.2022.00053 |
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2023 Conference Publication Abstract then Play: A Skill-centric Reinforcement Learning Framework for Text-based GamesZhu, Anjie, Zhang, Peng-Fei, Zhang, Yi, Huang, Zi and Shao, Jie (2023). Abstract then Play: A Skill-centric Reinforcement Learning Framework for Text-based Games. 61st Annual Meeting of the Association for Computational Linguistics (ACL’23), Toronto, Canada, 9-14 July 2024. Toronto, Canada: Association for Computational Linguistics (ACL). doi: 10.18653/v1/2023.findings-acl.836 |
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2023 Conference Publication RVD: a handheld device-based fundus video dataset for retinal vessel segmentationKhan, Md Wahiduzzaman, Sheng, Hongwei, Zhang, Hu, Du, Heming, Wang, Sen, Coroneo, Minas Theodore, Hajati, Farshid, Shariflou, Sahar, Kalloniatis, Michael, Phu, Jack, Agar, Ashish, Huang, Zi, Golzan, Mojtaba and Yu, Xin (2023). RVD: a handheld device-based fundus video dataset for retinal vessel segmentation. 37th Conference on Neural Information Processing Systems (NeurIPS 2023) Track on Datasets and Benchmarks, New Orleans, LA, United States, 10 - 16 December 2023. Maryland Heights, MO, United States: Morgan Kaufmann Publishers. doi: 10.52202/075280-0801 |
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2023 Conference Publication FFM: injecting out-of-domain knowledge via factorized frequency modificationWang, Zijian, Luo, Yadan, Huang, Zi and Baktashmotlagh, Mahsa (2023). FFM: injecting out-of-domain knowledge via factorized frequency modification. 23rd IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, United States, 3-7 January 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/wacv56688.2023.00412 |
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2022 Conference Publication Robust learning with adversarial perturbations and label noise: a two-pronged defense approachZhang, Peng-Fei, Huang, Zi, Luo, Xin and Zhao, Pengfei (2022). Robust learning with adversarial perturbations and label noise: a two-pronged defense approach. 4th ACM International Conference on Multimedia in Asia, Tokyo, Japan, 13-16 December 2022. New York, NY, United States: ACM. doi: 10.1145/3551626.3564934 |
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2022 Conference Publication IDEAL: high-order-ensemble adaptation network forlearning with noisy labelsZhang, Peng-Fei, Huang, Zi, Bai, Guangdong and Xu, Xin-Shun (2022). IDEAL: high-order-ensemble adaptation network forlearning with noisy labels. MM '22: The 30th ACM International Conference on Multimedia, Lisbon, Portugal, 10-14 October 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3503161.3548053 |
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2022 Conference Publication Scrutinizing Privacy Policy Compliance of Virtual Personal Assistant AppsXie, Fuman, Zhang, Yanjun, Yan, Chuan, Li, Suwan, Bu, Lei, Chen, Kai, Huang, Zi and Bai, Guangdong (2022). Scrutinizing Privacy Policy Compliance of Virtual Personal Assistant Apps. ASE '22: 37th IEEE/ACM International Conference on Automated Software Engineering, Rochester, MI United States, 10 - 14 October 2022. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3551349.3560416 |
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2022 Conference Publication Machine unlearning for image retrieval : a generative scrubbing approachZhang, Peng-Fei, Bai, Guangdong, Huang, Zi and Xu, Xin-Shun (2022). Machine unlearning for image retrieval : a generative scrubbing approach. MM '22: The 30th ACM International Conference on Multimedia, Lisbon, Portugal, 10-14 October 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3503161.3548378 |
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2022 Conference Publication Discovering domain disentanglement for generalized multi-source domain adaptationWang, Zixin, Luo, Yadan, Zhang, Peng-Fei, Wang, Sen and Huang, Zi (2022). Discovering domain disentanglement for generalized multi-source domain adaptation. 2022 IEEE International Conference on Multimedia and Expo (ICME), Taipei, Taiwan, 18-22 July 2022. Piscataway, NJ United States: IEEE Computer Society. doi: 10.1109/icme52920.2022.9859733 |
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2022 Conference Publication Uniting heterogeneity, inductiveness, and efficiency for graph representation learning (Extended Abstract)Chen, Tong, Yin, Hongzhi, Ren, Jie, Huang, Zi, Zhang, Xiangliang and Wang, Hao (2022). Uniting heterogeneity, inductiveness, and efficiency for graph representation learning (Extended Abstract). 2022 IEEE 38th International Conference on Data Engineering (ICDE), Kuala Lumpur, Malaysia, 9-12 May 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/icde53745.2022.00143 |
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2022 Conference Publication PipA!ack: poisoning federated recommender systems for manipulating item promotionZhang, Shijie, Yin, Hongzhi, Chen, Tong, Huang, Zi, Nguyen, Quoc Viet Hung and Cui, Lizhen (2022). PipA!ack: poisoning federated recommender systems for manipulating item promotion. WSDM '22: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, Virtual, AZ, United States, 21 - 25 February 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3488560.3498386 |
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2022 Conference Publication Contrastive learning for representation degeneration problem in sequential recommendationQiu, Ruihong, Huang, Zi, Yin, Hongzhi and Wang, Zijian (2022). Contrastive learning for representation degeneration problem in sequential recommendation. WSDM '22: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, Virtual, AZ, United States, 21 - 25 February 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3488560.3498433 |
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2022 Conference Publication Improved feature distillation via projector ensembleChen, Yudong, Wang, Sen, Liu, Jiajun, Xu, Xuwei, de Hoog, Frank and Huang, Zi (2022). Improved feature distillation via projector ensemble. 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. doi: 10.52202/068431-0878 |
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2021 Conference Publication Joint-teaching: learning to refine knowledge for resource-constrained unsupervised cross-modal retrievalZhang, Peng-Fei, Duan, Jiasheng, Huang, Zi and Yin, Hongzhi (2021). Joint-teaching: learning to refine knowledge for resource-constrained unsupervised cross-modal retrieval. MM '21: ACM Multimedia Conference, Virtual, 20-24 October 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3474085.3475286 |
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2021 Conference Publication Domain adaptive semantic segmentation without source dataYou, Fuming, Li, Jingjing, Zhu, Lei, Chen, Zhi and Huang, Zi (2021). Domain adaptive semantic segmentation without source data. MM '21: Proceedings of the 29th ACM International Conference on Multimedia, Virtual, 20-24 October 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3474085.3475482 |
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2021 Conference Publication Imbalanced Source-free Domain AdaptationLi, Xinhao, Li, Jingjing, Zhu, Lei, Wang, Guoqing and Huang, Zi (2021). Imbalanced Source-free Domain Adaptation. MM '21: ACM Multimedia Conference, Online, 20 - 24 October 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3474085.3475487 |
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2021 Conference Publication Semantics disentangling for generalized zero-shot learningChen, Zhi, Luo, Yadan, Qiu, Ruihong, Wang, Sen, Huang, Zi, Li, Jingjing and Zhang, Zheng (2021). Semantics disentangling for generalized zero-shot learning. 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, QC Canada, 10-17 October 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/iccv48922.2021.00859 |
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2021 Conference Publication Learning Transferrable and Interpretable Representations for Domain GeneralizationDu, Zhekai, Li, Jingjing, Lu, Ke, Zhu, Lei and Huang, Zi (2021). Learning Transferrable and Interpretable Representations for Domain Generalization. MM '21: ACM Multimedia Conference, Online, 20 - 24 October 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3474085.3475488 |
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2021 Conference Publication Mitigating Generation Shifts for Generalized Zero-Shot LearningChen, Zhi, Luo, Yadan, Wang, Sen, Qiu, Ruihong, Li, Jingjing and Huang, Zi (2021). Mitigating Generation Shifts for Generalized Zero-Shot Learning. MM '21: ACM Multimedia Conference, Online, 20 - 24 October 2021. Washington, DC United States: Association for Computing Machinery. doi: 10.1145/3474085.3475258 |
