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2023 Conference Publication Exploring active 3D object detection from a generalization perspectiveLuo, Yadan, Chen, Zhuoxiao, Wang, Zijian, Yu, Xin, Huang, Zi and Baktashmotlagh, Mahsa (2023). Exploring active 3D object detection from a generalization perspective. 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, 1 - 5 May 2023. New York, NY, United States: Cornell Tech. doi: 10.48550/arXiv.2301.09249 |
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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 Journal Article Source-free progressive graph learning for open-set domain adaptationLuo, Yadan, Wang, Zijian, Chen, Zhuoxiao, Huang, Zi and Baktashmotlagh, Mahsa (2023). Source-free progressive graph learning for open-set domain adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45 (9), 1-16. doi: 10.1109/tpami.2023.3270288 |
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2023 Journal Article DeHIN: a decentralized framework for embedding large-scale heterogeneous information networksImran, Mubashir, Yin, Hongzhi, Chen, Tong, Huang, Zi and Zheng, Kai (2023). DeHIN: a decentralized framework for embedding large-scale heterogeneous information networks. IEEE Transactions on Knowledge and Data Engineering, 35 (4), 3645-3657. doi: 10.1109/TKDE.2022.3141951 |
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2023 Journal Article Interpretable signed link prediction with signed infomax hyperbolic graphLuo, Yadan, Huang, Zi, Chen, Hongxu, Yang, Yang, Yin, Hongzhi and Baktashmotlagh, Mahsa (2023). Interpretable signed link prediction with signed infomax hyperbolic graph. IEEE Transactions on Knowledge and Data Engineering, 35 (4), 3991-4002. doi: 10.1109/TKDE.2021.3139035 |
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2023 Journal Article A multi-layer memory sharing network for video captioningNiu, Tian-Zi, Dong, Shan-Shan, Chen, Zhen-Duo, Luo, Xin, Huang, Zi, Guo, Shanqing and Xu, Xin-Shun (2023). A multi-layer memory sharing network for video captioning. Pattern Recognition, 136 109202, 1-11. doi: 10.1016/j.patcog.2022.109202 |
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2023 Journal Article Editorial for Special Issue on Large-scale Pre-training: Data, Models, and Fine-tuningWen, Ji-Rong, Huang, Zi and Zhang, Hanwang (2023). Editorial for Special Issue on Large-scale Pre-training: Data, Models, and Fine-tuning. Machine Intelligence Research, 20 (2), 145-146. doi: 10.1007/s11633-023-1431-y |
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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 Journal Article Uniting heterogeneity, inductiveness, and efficiency for graph representation learningChen, Tong, Yin, Hongzhi, Ren, Jie, Huang, Zi, Zhang, Xiangliang and Wang, Hao (2023). Uniting heterogeneity, inductiveness, and efficiency for graph representation learning. IEEE Transactions on Knowledge and Data Engineering, 35 (2), 2103-2117. doi: 10.1109/TKDE.2021.3100529 |
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2023 Journal Article GSMFlow: generation shifts mitigating flow for generalized zero-shot learningChen, Zhi, Luo, Yadan, Wang, Sen, Li, Jingjing and Huang, Zi (2023). GSMFlow: generation shifts mitigating flow for generalized zero-shot learning. IEEE Transactions on Multimedia, 25 (99), 5374-5385. doi: 10.1109/tmm.2022.3190678 |
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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. |
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2023 Journal Article Proactive privacy-preserving learning for cross-modal retrievalZhang, Peng-Fei, Bai, Guangdong, Yin, Hongzhi and Huang, Zi (2023). Proactive privacy-preserving learning for cross-modal retrieval. ACM Transactions on Information Systems, 41 (2) 35, 1-23. doi: 10.1145/3545799 |
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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 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 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 Journal Article Special issue on responsible data management and data scienceHuang, Zi, Shen, Yanyan and Srivastava, Divesh (2022). Special issue on responsible data management and data science. VLDB Journal, 31 (5), 823-823. doi: 10.1007/s00778-022-00761-1 |
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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 |
