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Improvable Gap Balancing for Multi-Task Learning Yanqi Dai, Nanyi Fei, and Zhiwu Lu* International Conference on Uncertainty in Artificial Intelligence (UAI), 2023.
CMMT: Cross-Modal Meta-Transformer for Video-Text Retrieval Yizhao Gao and Zhiwu Lu* ACM SIGMM International Conference on Multimedia Retrieval (ICMR), 2023.
Shot Retrieval and Assembly with Text Script for Video Montage Generation Guoxing Yang, Haoyu Lu, Zelong Sun, and Zhiwu Lu* ACM SIGMM International Conference on Multimedia Retrieval (ICMR), 2023.
Learning with Adaptive Knowledge for Continual Image-Text Modeling Yutian Luo, Yizhao Gao, and Zhiwu Lu* ACM SIGMM International Conference on Multimedia Retrieval (ICMR), 2023.
DiST-GAN: Distillation-based Semantic Transfer for Text-Guided Face Generation Guoxing Yang, Feifei Fu, Nanyi Fei, Haoran Wu, Ruitao Ma, and Zhiwu Lu* IEEE International Conference on Multimedia & Expo (ICME), 2023.
BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling Yizhao Gao, Nanyi Fei, Haoyu Lu, Zhiwu Lu*, Hao Jiang, Yijie Li, and Zhao Cao Annual Conference on Neural Information Processing Systems (NeurIPS), 2022.
LGDN: Language-Guided Denoising Network for Video-Language Modeling Haoyu Lu, Mingyu Ding, Nanyi Fei, Yuqi Huo, and Zhiwu Lu* Annual Conference on Neural Information Processing Systems (NeurIPS), 2022.
Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms Jiechao Guan, Yong Liu, and Zhiwu Lu* Annual Conference on Neural Information Processing Systems (NeurIPS), 2022.
Supervised Contrastive Learning for Few-Shot Action Classification Hongfeng Han, Nanyi Fei, Zhiwu Lu*, and Ji-Rong Wen European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2022.
Visual Prompt Tuning for Few-Shot Text Classification Jingyuan Wen, Yutian Luo, Nanyi Fei, Guoxing Yang, Zhiwu Lu*, Hao Jiang, Jie Jiang and Zhao Cao International Conference on Computational Linguistics (COLING), 2022.
Towards artificial general intelligence via a multimodal foundation model Nanyi Fei, Zhiwu Lu*, Yizhao Gao, Guoxing Yang, Yuqi Huo, Jingyuan Wen, Haoyu Lu, Ruihua Song, Xin Gao, Tao Xiang, Hao Sun* and Ji-Rong Wen* Nature Communications (Nat Commun), vol. 13, article no. 3094, 2022.
Fast-Rate PAC-Bayesian Generalization Bounds for Meta-Learning Jiechao Guan and Zhiwu Lu* International Conference on Machine Learning (ICML), 2022.
COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval Haoyu Lu , Nanyi Fei, Yuqi Huo, Yizhao Gao, Zhiwu Lu*, and Ji-Rong Wen IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Learning Versatile Neural Architectures by Propagating Network Codes Mingyu Ding, Yuqi Huo, Haoyu Lu, Linjie Yang, Zhe Wang, Zhiwu Lu, Jingdong Wang, and Ping Luo International Conference on Learning Representations (ICLR), 2022.
Task Relatedness-Based Generalization Bounds for Meta Learning Jiechao Guan and Zhiwu Lu* International Conference on Learning Representations (ICLR), 2022. (Spotlight)
Compressed Video Contrastive Learning Yuqi Huo, Mingyu Ding, Haoyu Lu, Nanyi Fei, Zhiwu Lu*, Ji-Rong Wen, and Ping Luo Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS), 2021.
Z-Score Normalization, Hubness, and Few-Shot Learning Nanyi Fei, Yizhao Gao, Zhiwu Lu*, and Tao Xiang International Conference on Computer Vision (ICCV), 2021.
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning Yizhao Gao, Nanyi Fei, Guangzhen Liu, Zhiwu Lu*, and Tao Xiang International onference on Uncertainty in Artificial Intelligence (UAI), 2021.
Self-Supervised Video Representation Learning with Constrained Spatiotemporal Jigsaw Yuqi Huo, Mingyu Ding, Haoyu Lu, Ziyuan Huang, Mingqian Tang, Zhiwu Lu*, and Tao Xiang International Joint Conference on Artificial Intelligence (IJCAI), 2021.
A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry Yao Lu, Xiaoli Xu, Mingyu Ding, Zhiwu Lu*, and Tao Xiang AAAI Conference on Artificial Intelligence (AAAI), 2021.
IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning Manli Zhang, Jianhong Zhang, Zhiwu Lu*, Tao Xiang, Mingyu Ding, and Songfang Huang International Conference on Learning Representations (ICLR), 2021.
MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning Nanyi Fei, Zhiwu Lu*, Tao Xiang, and Songfang Huang International Conference on Learning Representations (ICLR), 2021.
HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight Transformers Mingyu Ding, Xiaochen Lian, Linjie Yang, Peng Wang, Xiaojie Jin, Zhiwu Lu, and Ping Luo IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. (Oral, CCF A)
Counterfactual VQA: A Cause-Effect Look at Language Bias Yulei Niu, Kaihua Tang, Hanwang Zhang, Zhiwu Lu, Xian-Sheng Hua, and Ji-Rong Wen IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
L2M-GAN: Learning to Manipulate Latent Space Semantics for Facial Attribute Editing Guoxing Yang, Nanyi Fei, Mingyu Ding, Guangzhen Liu, Zhiwu Lu*, and Tao Xiang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. (Oral, CCF A)
Variational Context: Exploiting Visual and Textual Context for Grounding Referring Expressions Yulei Niu, Hanwang Zhang, Zhiwu Lu, and Shih-Fu Chang IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 43, no. 1, pp. 347-359, 2021.
Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning Jiechao Guan, Zhiwu Lu*, Tao Xiang, Aoxue Li, An Zhao, and Ji-Rong Wen IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 43, no. 7, pp. 2510-2523, 2021.
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