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2023 Conference Publication How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their TransferabilityWang, Zijian, Luo, Yadan, Zheng, Liang, Huang, Zi and Baktashmotlagh, Mahsa (2023). How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability. IEEE/CVF International Conference on Computer Vision 2023 (ICCV), Paris, France, 2-6 October 2023. Paris, France: Computer Vision Foundation. doi: 10.1109/iccv51070.2023.00511 |
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2023 Conference Publication KECOR: Kernel Coding Rate Maximization for Active 3D Object DetectionLuo, Yadan, Chen, Zhuoxiao, Fang, Zhen, Zhang, Zheng, Baktashmotlagh, Mahsa and Huang, Zi (2023). KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection. IEEE/CVF International Conference on Computer Vision 2023 (ICCV), Paris, France, 2-6 October 2021. Paris, France: Computer Vision Foundation. doi: 10.1109/iccv51070.2023.01676 |
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2023 Conference Publication Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-LabelingChen, Zhuoxiao, Luo, Yadan, Wang, Zheng, Baktashmotlagh, Mahsa and Huang, Zi (2023). Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling. IEEE/CVF International Conference on Computer Vision 2023 (ICCV), Paris, France, 2-6 October 2023. Paris, France: Computer Vision Foundation. doi: 10.1109/iccv51070.2023.00344 |
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2023 Conference Publication ICMR 2023 Program Chairs Welcome MessageMazaris, Vasileios, Papadopoulos, Symeon, Popescu, Adrian and Huang, Zi Helen (2023). ICMR 2023 Program Chairs Welcome Message. ICMR 2023, Thessaloniki, Greece, 12 – 15 June 2023. Association for Computing Machinery. |
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2023 Journal Article Video captioning by learning from global sentence and looking aheadNiu, Tian-Zi, Chen, Zhen-Duo, Luo, Xin, Zhang, Peng-Fei, Huang, Zi and Xu, Xin-Shun (2023). Video captioning by learning from global sentence and looking ahead. ACM Transactions on Multimedia Computing, Communications, and Applications, 19 (5s) 171, 1-20. doi: 10.1145/3587252 |
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2023 Conference Publication Object-goal visual navigation via effective exploration of relations among historical navigation statesDu, Heming, Li, Lincheng, Huang, Zi and Yu, Xin (2023). Object-goal visual navigation via effective exploration of relations among historical navigation states. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, BC, Canada, 17-24 June 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/cvpr52729.2023.00252 |
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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 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 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 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 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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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 |
