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A Multi-task Multi-stage Transitional Training Framework for Neural Chat Translation


Jan 27, 2023
Chulun Zhou, Yunlong Liang, Fandong Meng, Jie Zhou, Jinan Xu, Hongji Wang, Min Zhang, Jinsong Su

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* 16 pages, IEEE Transactions on Pattern Analysis and Machine Intelligence 

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Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning


Jan 26, 2023
Wenkai Yang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun

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When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning


Jan 25, 2023
Wenkai Yang, Yankai Lin, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun

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Transformer-Patcher: One Mistake worth One Neuron


Jan 24, 2023
Zeyu Huang, Yikang Shen, Xiaofeng Zhang, Jie Zhou, Wenge Rong, Zhang Xiong

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* accepted in ICLR 2023 

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AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware Transformers


Jan 11, 2023
Xumin Yu, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou

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* Extension of our ICCV 2021 work: arXiv:2108.08839 . Code is available at https://github.com/yuxumin/PoinTr 

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DiffTalk: Crafting Diffusion Models for Generalized Talking Head Synthesis


Jan 10, 2023
Shuai Shen, Wenliang Zhao, Zibin Meng, Wanhua Li, Zheng Zhu, Jie Zhou, Jiwen Lu

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* Project page https://sstzal.github.io/DiffTalk/ 

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Deep learning for size-agnostic inverse design of random-network 3D printed mechanical metamaterials


Dec 22, 2022
Helda Pahlavani, Kostas Tsifoutis-Kazolis, Prerak Mody, Jie Zhou, Mohammad J. Mirzaali, Amir A. Zadpoor

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Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint


Dec 18, 2022
Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu

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Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization


Dec 15, 2022
Yunlong Liang, Fandong Meng, Jinan Xu, Jiaan Wang, Yufeng Chen, Jie Zhou

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* work in progress 

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Understanding Translationese in Cross-Lingual Summarization


Dec 14, 2022
Jiaan Wang, Fandong Meng, Tingyi Zhang, Yunlong Liang, Jiarong Xu, Zhixu Li, Jie Zhou

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* Work in progress 

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