2019年8月—现在，中国人民大学高瓴人工智能学院，教授
2013年9月—2019年7月，中国人民大学信息学院，副教授
2011年5月—2013年7月，北京大学计算机所，助理研究员
计算机视觉：多模态大模型，大模型后训练，图像可控生成，视频生成，具身智能
机器学习：连续学习，强化学习，自监督学习，元学习，小样本学习
南风窗报道：https://mp.weixin.qq.com/s/pV6xZ4wTIJH0UoBfMft8Sg
量子位报道：https://mp.weixin.qq.com/s/oXAx-b0ci7R8WHOYsf10gg
机器之心报道：https://mp.weixin.qq.com/s/qpg_UPGO_T4kpeZAm_pniw
对研究有浓厚兴趣，自我驱动力强，有较好的动手能力（指导学生获得2021年CCF优博、2025年吴玉章奖）
研究生课：《高级机器学习》，《小样本学习》，《自然语言处理》
本科生课：《迁移学习》，《统计学习》
国家自然科学基金重点项目（课题），面向智慧教育的多模态模型构建方法，2025.01-2029.12，主持
国家自然科学基金面上项目，大规模多模态预训练的关键问题研究，2024.01-2027.12，主持
华为-人大联合项目，基于多任务自监督与稀疏激活的多模态语义模型，2022.02-2023.02，主持
联通-人大联合项目，面向联通业务场景的大规模预训练模型，2022.07-2023.11，主持
阿里达摩院合作项目，面向视觉语言的多模态特征学习，2020.09-2021.09，主持
国家自然科学基金面上项目，小样本学习关键问题研究，2020.01-2023.12，主持
国家自然科学基金面上项目，噪声环境下的弱监督图像语义分割研究，2016.01-2019.12，主持
2025
CoTMR: Chain-of-Thought Multi-Scale Reasoning for Training-Free Zero-Shot Composed Image Retrieval
Zelong Sun, Dong Jing, and Zhiwu Lu
International Conference on Computer Vision (ICCV), 2025. (CCF A)
MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents
Yanqi Dai, Huanran Hu, Lei Wang, Shengjie Jin, Xu Chen*, and Zhiwu Lu*
International Conference on Learning Representations (ICLR), 2025.
下载： 论文文档
Enhancing Data-Free Class-Incremental Learning via Image-Centric Dual Distillation
Feifei Fu and Zhiwu Lu*
IEEE International Conference on Acoustics, Speech and SP (ICASSP), 2025. (CCF B)
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Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval
Zelong Sun, Dong Jing, Guoxing Yang, Nanyi Fei, and Zhiwu Lu*
AAAI Conference on Artificial Intelligence (AAAI), 2025. (CCF A)
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2024
FineCLIP: Self-distilled Region-based CLIP for Better Fine-Grained Understanding
Dong Jing, Xiaolong He, Yutian Luo, Nanyi Fei, Guoxing Yang, Wei Wei, Huiwen Zhao, Zhiwu Lu*
Annual Conference on Neural Information Processing Systems (NeurIPS), 2024. (CCF A)
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Enhancing Class-Incremental Learning for Image Classification via Bidirectional Transport and Selective Momentum
Feifei Fu, Yizhao Gao, Zhiwu Lu*
International Conference on Multimedia Retrieval (ICMR), 2024. (CCF B)
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Dual-Enhanced Coreset Selection with Class-wise Collaboration for Online Blurry Class Incremental Learning
Yutian Luo, Shiqi Zhao, Haoran Wu, and Zhiwu Lu*
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (CCF A)
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UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling
Haoyu Lu, Yuqi Huo, Guoxing Yang, Zhiwu Lu*, Wei Zhan, Masayoshi Tomizuka, and Mingyu Ding
International Conference on Learning Representations (ICLR), 2024.
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VDT: General-purpose Video Diffusion Transformers via Mask Modeling
Haoyu Lu, Guoxing Yang, Nanyi Fei, Yuqi Huo, Zhiwu Lu*, Ping Luo, and Mingyu Ding
International Conference on Learning Representations (ICLR), 2024.
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VEMO: A Versatile Elastic Multi-Modal Model for Search-Oriented Multi-Task Learning
Nanyi Fei, Hao Jiang, Haoyu Lu, Jinqiang Long, Yanqi Dai, Tuo Fan, Zhao Cao, and Zhiwu Lu*
European Conference on Information Retrieval (ECIR), 2024.
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Unsupervised Continual Learning of Image Representation via Rememory-Based SimSiam
Feifei Fu, Yizhao Gao, Zhiwu Lu*, Haoran Wu, and Shiqi Zhao
IEEE International Conference on Acoustics, Speech and SP (ICASSP), 2024. (CCF B)
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Image Retrieval with Composed Query by Multi-Scale Multi-Modal Fusion
Zelong Sun, Guoxing Yang, Zhiwu Lu*, Hao Jiang, Guojie Zhu, and Zhao Cao
IEEE International Conference on Acoustics, Speech and SP (ICASSP), 2024. (CCF B)
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Multi-level Contrastive Learning for Hybrid Cross-modal Retrieval
Yiming Zhao, Haoyu Lu, Shiqi Zhao, Haoran Wu, and Zhiwu Lu*
IEEE International Conference on Acoustics, Speech and SP (ICASSP), 2024. (CCF B)
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Progressive Image Synthesis from Semantics to Details with Denoising Diffusion GAN
Guoxing Yang, Haoyu Lu, Chongxuan Li, Guang Zhou, Haoran Wu, and Zhiwu Lu*
IEEE International Conference on Acoustics, Speech and SP (ICASSP), 2024. (CCF B)
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2023
Mixup-Inspired Video Class-Incremental Learning
Jinqiang Long, Yizhao Gao, and Zhiwu Lu*
IEEE International Conference on Data Mining (ICDM), 2023. (CCF B)
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R-STAR: Robust Self-Taught Task-Wise Reweighting for Rehearsal-Based Class Incremental Learning
Yutian Luo, Yizhao Gao, Haoran Wu, Ruitao Ma, and Zhiwu Lu*
European Conference on Artificial Intelligence (ECAI), 2023. (CCF B)
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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. (CCF B)
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CMMT: Cross-Modal Meta-Transformer for Video-Text Retrieval
Yizhao Gao and Zhiwu Lu*
ACM SIGMM International Conference on Multimedia Retrieval (ICMR), 2023. (CCF B)
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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. (CCF B)
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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. (CCF B)
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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. (CCF B)
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2022
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. (Spotlight, CCF A)
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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. (Spotlight, CCF A)
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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. (Spotlight, CCF A)
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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. (CCF B)
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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. (CCF B)
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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. (CCF A)
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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. (CCF A)
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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.
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Task Relatedness-Based Generalization Bounds for Meta Learning
Jiechao Guan and Zhiwu Lu*
International Conference on Learning Representations (ICLR), 2022. (Spotlight)
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指导学生获得2025年吴玉章奖
指导学生获得2025年“京东杯”创业大赛特等奖
南风窗2024年度科学家
昇腾AI创新大赛2023全国总决赛应用赛道银奖
中国人民大学2022年度优秀科研成果奖特等奖
Top 25 Nature Communications social science and human behavior articles of 2022
AISTATS 2022 Top reviewer
NeurIPS 2021 Outstanding Reviewer Award
指导学生获得2021年CCF优博
指导学生获得2021年百度奖学金
2021年设计首个公开的中文通用图文预训练模型文澜BriVL
ICONIP 2018最佳学生论文奖亚军
2015年IBM SUR Award
中国人民大学2015届优秀学士学位论文指导老师
计算机图形学国际会议CGI 2014最佳论文奖
Reviewer for IEEE TPAMI, IJCV, IEEE TIP, IEEE TMM, IEEE TNNLS, IEEE TKDE, TOIS
SPC/PC Member of ICML, NeurIPS, CVPR, ICCV, ECCV, AAAI, IJCAI, UAI
Member of CCF, ACM, IEEE
邮箱：luzhiwu(@)ruc.edu.cn
个人网页：https://gsai.ruc.edu.cn/luzhiwu
