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ORCIDZhiwu Lu 0001
Person information
- affiliation: Renmin University of China, School of Information, Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China
- affiliation (PhD 2011): City University of Hong Kong
- affiliation: Peking University, Beijing, China
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2020 – today
- 2024
[c98]Nanyi Fei
, Hao Jiang, Haoyu Lu, Jinqiang Long, Yanqi Dai, Tuo Fan, Zhao Cao, Zhiwu Lu:
VEMO: A Versatile Elastic Multi-modal Model for Search-Oriented Multi-task Learning. ECIR (1) 2024: 56-72- [i40]Yanqi Dai, Dong Jing, Nanyi Fei, Zhiwu Lu:
CoTBal: Comprehensive Task Balancing for Multi-Task Visual Instruction Tuning. CoRR abs/2403.04343 (2024) - 2023
- [j36]Haoyu Lu, Yuqi Huo, Mingyu Ding, Nanyi Fei, Zhiwu Lu:
Cross-modal Contrastive Learning for Generalizable and Efficient Image-text Retrieval. Mach. Intell. Res. 20(4): 569-582 (2023) - [j35]Zelong Sun, Guoxing Yang, Jingyuan Wen, Nanyi Fei, Zhiwu Lu, Jirong Wen:
Text-to-Chinese-painting Method Based on Multi-domain VQGAN. Int. J. Softw. Informatics 13(2): 197-219 (2023) - [c97]Feifei Fu, Zelong Sun, Guoxing Yang, Xiaolong He, Zhiwu Lu:
Song-to-Video Translation: Writing a Video from Song Lyrics Based on Multimodal Pre-training. ADMA (2) 2023: 198-213 - [c96]Yutian Luo, Yizhao Gao, Haoran Wu, Ruitao Ma, Zhiwu Lu:
R-STAR: Robust Self-Taught Task-Wise Reweighting for Rehearsal-Based Class Incremental Learning. ECAI 2023: 1648-1655 - [c95]Baogui Xu, Chengjin Xu, Zhiwu Lu, Bing Su:
Task-Sensitive Discriminative Mutual Attention Network for Few-Shot Learning. ECAI 2023: 2784-2791 - [c94]Jinqiang Long, Yizhao Gao, Zhiwu Lu:
Mixup-Inspired Video Class-Incremental Learning. ICDM 2023: 1181-1186 - [c93]Guoxing Yang, Feifei Fu, Nanyi Fei, Haoran Wu, Ruitao Ma, Zhiwu Lu:
DiST-GAN: Distillation-based Semantic Transfer for Text-Guided Face Generation. ICME 2023: 840-845 - [c92]Yizhao Gao, Zhiwu Lu:
CMMT: Cross-Modal Meta-Transformer for Video-Text Retrieval. ICMR 2023: 76-84 - [c91]Guoxing Yang, Haoyu Lu, Zelong Sun, Zhiwu Lu:
Shot Retrieval and Assembly with Text Script for Video Montage Generation. ICMR 2023: 298-306 - [c90]Yutian Luo, Yizhao Gao, Zhiwu Lu:
Learning with Adaptive Knowledge for Continual Image-Text Modeling. ICMR 2023: 472-480 - [c89]Hongpeng Lin, Ludan Ruan, Wenke Xia, Peiyu Liu, Jingyuan Wen, Yixin Xu, Di Hu, Ruihua Song, Wayne Xin Zhao, Qin Jin, Zhiwu Lu:
TikTalk: A Video-Based Dialogue Dataset for Multi-Modal Chitchat in Real World. ACM Multimedia 2023: 1303-1313 - [c88]Hongfeng Han, Zhiwu Lu, Ji-Rong Wen:
Binary Neural Network for Video Action Recognition. MMM (1) 2023: 95-106 - [c87]Hongfeng Han, Zhiwu Lu, Ji-Rong Wen:
CTDA: Contrastive Temporal Domain Adaptation for Action Segmentation. MMM (2) 2023: 562-574 - [c86]Yanqi Dai, Nanyi Fei, Zhiwu Lu:
Improvable Gap Balancing for Multi-Task Learning. UAI 2023: 496-506 - [i39]Chuhao Jin, Hongteng Xu, Ruihua Song, Zhiwu Lu:
Text2Poster: Laying out Stylized Texts on Retrieved Images. CoRR abs/2301.02363 (2023) - [i38]Hongpeng Lin, Ludan Ruan, Wenke Xia, Peiyu Liu, Jingyuan Wen, Yixin Xu, Di Hu, Ruihua Song, Wayne Xin Zhao, Qin Jin, Zhiwu Lu:
TikTalk: A Multi-Modal Dialogue Dataset for Real-World Chitchat. CoRR abs/2301.05880 (2023) - [i37]Haoyu Lu, Mingyu Ding, Yuqi Huo, Guoxing Yang, Zhiwu Lu, Masayoshi Tomizuka, Wei Zhan:
UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling. CoRR abs/2302.06605 (2023) - [i36]Haoyu Lu, Guoxing Yang, Nanyi Fei, Yuqi Huo, Zhiwu Lu, Ping Luo, Mingyu Ding:
VDT: An Empirical Study on Video Diffusion with Transformers. CoRR abs/2305.13311 (2023) - [i35]Yanqi Dai, Nanyi Fei, Zhiwu Lu:
Improvable Gap Balancing for Multi-Task Learning. CoRR abs/2307.15429 (2023) - 2022
- [c85]Zhaoxin Fan, Zhenbo Song, Hongyan Liu, Zhiwu Lu, Jun He, Xiaoyong Du:
SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition. AAAI 2022: 551-560 - [c84]Yizhao Gao, Zhiwu Lu:
SST-VLM: Sparse Sampling-Twice Inspired Video-Language Model. ACCV (4) 2022: 537-553 - [c83]Jingyuan Wen, Yutian Luo, Nanyi Fei, Guoxing Yang, Zhiwu Lu, Hao Jiang, Jie Jiang, Zhao Cao:
Visual Prompt Tuning for Few-Shot Text Classification. COLING 2022: 5560-5570 - [c82]Haoyu Lu, Nanyi Fei, Yuqi Huo, Yizhao Gao, Zhiwu Lu, Ji-Rong Wen:
COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval. CVPR 2022: 15671-15680 - [c81]Chuhao Jin, Hongteng Xu, Ruihua Song, Zhiwu Lu:
Text2Poster: Laying Out Stylized Texts on Retrieved Images. ICASSP 2022: 4823-4827 - [c80]Mingyu Ding, Yuqi Huo, Haoyu Lu, Linjie Yang, Zhe Wang, Zhiwu Lu, Jingdong Wang, Ping Luo:
Learning Versatile Neural Architectures by Propagating Network Codes. ICLR 2022 - [c79]Jiechao Guan, Zhiwu Lu:
Task Relatedness-Based Generalization Bounds for Meta Learning. ICLR 2022 - [c78]Jiechao Guan, Zhiwu Lu:
Fast-Rate PAC-Bayesian Generalization Bounds for Meta-Learning. ICML 2022: 7930-7948 - [c77]Yizhao Gao, Nanyi Fei, Haoyu Lu, Zhiwu Lu, Hao Jiang, Yijie Li, Zhao Cao:
BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling. NeurIPS 2022 - [c76]Jiechao Guan, Yong Liu, Zhiwu Lu:
Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms. NeurIPS 2022 - [c75]Haoyu Lu, Mingyu Ding, Nanyi Fei, Yuqi Huo, Zhiwu Lu:
LGDN: Language-Guided Denoising Network for Video-Language Modeling. NeurIPS 2022 - [c74]Hongfeng Han, Nanyi Fei, Zhiwu Lu, Ji-Rong Wen:
Supervised Contrastive Learning for Few-Shot Action Classification. ECML/PKDD (3) 2022: 512-528 - [i34]Haoyu Lu, Nanyi Fei, Yuqi Huo, Yizhao Gao, Zhiwu Lu, Ji-Rong Wen:
COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval. CoRR abs/2204.07441 (2022) - [i33]Haoyu Lu, Qiongyi Zhou, Nanyi Fei, Zhiwu Lu, Mingyu Ding, Jingyuan Wen, Changde Du, Xin Zhao, Hao Sun, Huiguang He, Ji-Rong Wen:
Multimodal foundation models are better simulators of the human brain. CoRR abs/2208.08263 (2022) - [i32]Bing Su, Dazhao Du, Zhao Yang, Yujie Zhou, Jiangmeng Li, Anyi Rao, Hao Sun, Zhiwu Lu, Ji-Rong Wen:
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language. CoRR abs/2209.05481 (2022) - [i31]Haoyu Lu, Mingyu Ding, Nanyi Fei, Yuqi Huo, Zhiwu Lu:
LGDN: Language-Guided Denoising Network for Video-Language Modeling. CoRR abs/2209.11388 (2022) - 2021
- [j34]Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Yuan Yao, Ao Zhang, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu:
Pre-trained models: Past, present and future. AI Open 2: 225-250 (2021) - [j33]Yulei Niu, Hanwang Zhang, Zhiwu Lu, Shih-Fu Chang:
Variational Context: Exploiting Visual and Textual Context for Grounding Referring Expressions. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 347-359 (2021) - [j32]Jiechao Guan, Zhiwu Lu, Tao Xiang, Aoxue Li, An Zhao, Ji-Rong Wen:
Zero and Few Shot Learning With Semantic Feature Synthesis and Competitive Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2510-2523 (2021) - [c73]Yao Lu, Xiaoli Xu, Mingyu Ding, Zhiwu Lu, Tao Xiang:
A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry. AAAI 2021: 2260-2268 - [c72]Guoxing Yang, Nanyi Fei, Mingyu Ding, Guangzhen Liu, Zhiwu Lu, Tao Xiang:
L2M-GAN: Learning To Manipulate Latent Space Semantics for Facial Attribute Editing. CVPR 2021: 2951-2960 - [c71]Mingyu Ding, Xiaochen Lian, Linjie Yang, Peng Wang, Xiaojie Jin, Zhiwu Lu, Ping Luo:
HR-NAS: Searching Efficient High-Resolution Neural Architectures With Lightweight Transformers. CVPR 2021: 2982-2992 - [c70]Yulei Niu, Kaihua Tang, Hanwang Zhang, Zhiwu Lu, Xian-Sheng Hua, Ji-Rong Wen:
Counterfactual VQA: A Cause-Effect Look at Language Bias. CVPR 2021: 12700-12710 - [c69]Nanyi Fei, Yizhao Gao, Zhiwu Lu, Tao Xiang:
Z-Score Normalization, Hubness, and Few-Shot Learning. ICCV 2021: 142-151 - [c68]Nanyi Fei, Zhiwu Lu, Tao Xiang, Songfang Huang:
MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning. ICLR 2021 - [c67]Manli Zhang, Jianhong Zhang, Zhiwu Lu, Tao Xiang, Mingyu Ding, Songfang Huang:
IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning. ICLR 2021 - [c66]Hongfeng Han, Guoxing Yang, Yuqi Huo, Zhiwu Lu, Ji-Rong Wen:
Complex Action Segmentation in Compressed Videos. ICME 2021: 1-6 - [c65]Guangzhen Liu, Zhiwu Lu:
Weakly-Supervised Attribute Segmentation. ICME 2021: 1-6 - [c64]Yuqi Huo, Mingyu Ding, Haoyu Lu, Ziyuan Huang, Mingqian Tang, Zhiwu Lu, Tao Xiang:
Self-Supervised Video Representation Learning with Constrained Spatiotemporal Jigsaw. IJCAI 2021: 751-757 - [c63]Yuqi Huo, Mingyu Ding, Haoyu Lu, Nanyi Fei, Zhiwu Lu, Ji-Rong Wen, Ping Luo:
Compressed Video Contrastive Learning. NeurIPS 2021: 14176-14187 - [c62]Yizhao Gao, Nanyi Fei, Guangzhen Liu, Zhiwu Lu, Tao Xiang:
Contrastive prototype learning with augmented embeddings for few-shot learning. UAI 2021: 140-150 - [c61]An Zhao, Mingyu Ding, Zhiwu Lu, Tao Xiang, Yulei Niu, Jiechao Guan, Ji-Rong Wen:
Domain-Adaptive Few-Shot Learning. WACV 2021: 1389-1398 - [c60]Xiaoli Xu, Yao Lu, Zhiwu Lu, Tao Xiang:
Vid2Int: Detecting Implicit Intention from Long Dialog Videos. WACV 2021: 3298-3307 - [c59]Jianhong Zhang, Manli Zhang, Zhiwu Lu, Tao Xiang:
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning. WACV 2021: 3481-3490 - [i30]Yizhao Gao, Nanyi Fei, Guangzhen Liu, Zhiwu Lu, Tao Xiang, Songfang Huang:
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning. CoRR abs/2101.09499 (2021) - [i29]Yuqi Huo, Manli Zhang, Guangzhen Liu, Haoyu Lu, Yizhao Gao, Guoxing Yang, Jingyuan Wen, Heng Zhang, Baogui Xu, Weihao Zheng, Zongzheng Xi, Yueqian Yang, Anwen Hu, Jinming Zhao, Ruichen Li, Yida Zhao, Liang Zhang, Yuqing Song, Xin Hong, Wanqing Cui, Dan Yang Hou, Yingyan Li, Junyi Li, Peiyu Liu, Zheng Gong, Chuhao Jin, Yuchong Sun, Shizhe Chen, Zhiwu Lu, Zhicheng Dou, Qin Jin, Yanyan Lan, Wayne Xin Zhao, Ruihua Song, Ji-Rong Wen:
WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training. CoRR abs/2103.06561 (2021) - [i28]Mingyu Ding, Yuqi Huo, Haoyu Lu, Linjie Yang, Zhe Wang, Zhiwu Lu, Jingdong Wang, Ping Luo:
Learning Versatile Neural Architectures by Propagating Network Codes. CoRR abs/2103.13253 (2021) - [i27]Mingyu Ding, Xiaochen Lian, Linjie Yang, Peng Wang, Xiaojie Jin, Zhiwu Lu, Ping Luo:
HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight Transformers. CoRR abs/2106.06560 (2021) - [i26]Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu:
Pre-Trained Models: Past, Present and Future. CoRR abs/2106.07139 (2021) - [i25]Nanyi Fei, Zhiwu Lu, Yizhao Gao, Guoxing Yang, Yuqi Huo, Jingyuan Wen, Haoyu Lu, Ruihua Song, Xin Gao, Tao Xiang, Hao Sun, Ji-Rong Wen:
WenLan 2.0: Make AI Imagine via a Multimodal Foundation Model. CoRR abs/2110.14378 (2021) - 2020
- [j31]Guangzhen Liu, Zhiwu Lu:
Discriminativeness-Preserved Domain Adaptation for Few-Shot Learning. IEEE Access 8: 168405-168413 (2020) - [j30]Aoxue Li, Zhiwu Lu, Jiechao Guan, Tao Xiang, Liwei Wang, Ji-Rong Wen:
Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning. Int. J. Comput. Vis. 128(12): 2810-2827 (2020) - [c58]Mingyu Ding, Zhe Wang, Bolei Zhou, Jianping Shi, Zhiwu Lu, Ping Luo:
Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow. AAAI 2020: 10713-10720 - [c57]Jiechao Guan, Manli Zhang, Zhiwu Lu:
Large-Scale Cross-Domain Few-Shot Learning. ACCV (3) 2020: 474-491 - [c56]Nanyi Fei, Jiechao Guan, Zhiwu Lu, Yizhao Gao:
Few-Shot Zero-Shot Learning: Knowledge Transfer with Less Supervision. ACCV (3) 2020: 592-608 - [c55]Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, Ping Luo:
Learning Depth-Guided Convolutions for Monocular 3D Object Detection. CVPR Workshops 2020: 4306-4315 - [c54]Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, Ping Luo:
Learning Depth-Guided Convolutions for Monocular 3D Object Detection. CVPR 2020: 11669-11678 - [c53]Yuqi Huo, Xiaoli Xu, Yao Lu, Yulei Niu, Mingyu Ding, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Lightweight Action Recognition in Compressed Videos. ECCV Workshops (2) 2020: 337-352 - [i24]Jianhong Zhang, Manli Zhang, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning. CoRR abs/2002.12641 (2020) - [i23]An Zhao, Mingyu Ding, Zhiwu Lu, Tao Xiang, Yulei Niu, Jiechao Guan, Ji-Rong Wen, Ping Luo:
Domain-Adaptive Few-Shot Learning. CoRR abs/2003.08626 (2020) - [i22]Yulei Niu, Kaihua Tang, Hanwang Zhang, Zhiwu Lu, Xian-Sheng Hua, Ji-Rong Wen:
Counterfactual VQA: A Cause-Effect Look at Language Bias. CoRR abs/2006.04315 (2020) - [i21]Jiechao Guan, Zhiwu Lu, Tao Xiang, Timothy M. Hospedales:
Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding. CoRR abs/2012.01602 (2020)
2010 – 2019
- 2019
- [j29]Mingyu Ding, Zhe Wang, Zhiwu Lu:
Cross-domain mapping learning for transductive zero-shot learning. Comput. Vis. Image Underst. 187 (2019) - [j28]Yulei Niu, Zhiwu Lu, Ji-Rong Wen, Tao Xiang, Shih-Fu Chang:
Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation. IEEE Trans. Image Process. 28(4): 1720-1731 (2019) - [c52]Yulei Niu, Hanwang Zhang, Manli Zhang, Jianhong Zhang, Zhiwu Lu, Ji-Rong Wen:
Recursive Visual Attention in Visual Dialog. CVPR 2019: 6679-6688 - [c51]Aoxue Li, Tiange Luo, Zhiwu Lu, Tao Xiang, Liwei Wang:
Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy. CVPR 2019: 7212-7220 - [c50]Mingyu Ding, An Zhao, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Face-Focused Cross-Stream Network for Deception Detection in Videos. CVPR 2019: 7802-7811 - [c49]Yanlei Yu, Zhiwu Lu, Jiajun Liu, Guoping Zhao, Ji-Rong Wen:
RUM: Network Representation Learning Using Motifs. ICDE 2019: 1382-1393 - [c48]Guangzhen Liu, Jiechao Guan, Manli Zhang, Jianhong Zhang, Zihao Wang, Zhiwu Lu:
Joint Projection and Subspace Learning for Zero-Shot Recognition. ICME 2019: 1228-1233 - [c47]Yuqi Huo, Jiechao Guan, Jianhong Zhang, Manli Zhang, Ji-Rong Wen, Zhiwu Lu:
Zero-Shot Learning with Few Seen Class Samples. ICME 2019: 1336-1341 - [c46]Yuqi Huo, Yao Lu, Yulei Niu, Zhiwu Lu, Ji-Rong Wen:
Coarse-to-Fine Grained Classification. SIGIR 2019: 1033-1036 - [i20]Yulei Niu, Hanwang Zhang, Zhiwu Lu, Shih-Fu Chang:
Variational Context: Exploiting Visual and Textual Context for Grounding Referring Expressions. CoRR abs/1907.03609 (2019) - [i19]Yuqi Huo, Xiaoli Xu, Yao Lu, Yulei Niu, Zhiwu Lu, Ji-Rong Wen:
Mobile Video Action Recognition. CoRR abs/1908.10155 (2019) - [i18]Mingyu Ding, Zhe Wang, Bolei Zhou, Jianping Shi, Zhiwu Lu, Ping Luo:
Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow. CoRR abs/1911.12739 (2019) - [i17]Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, Ping Luo:
Learning Depth-Guided Convolutions for Monocular 3D Object Detection. CoRR abs/1912.04799 (2019) - 2018
- [j27]Aoxue Li, Zhiwu Lu, Liwei Wang, Peng Han, Ji-Rong Wen:
Large-Scale Sparse Learning From Noisy Tags for Semantic Segmentation. IEEE Trans. Cybern. 48(1): 253-263 (2018) - [c45]Jiechao Guan, An Zhao, Zhiwu Lu:
Extreme Reverse Projection Learning for Zero-Shot Recognition. ACCV (1) 2018: 125-141 - [c44]Mingyu Ding, Yuqi Huo, Jun Hu, Zhiwu Lu:
DeepInsight: Multi-Task Multi-Scale Deep Learning for Mental Disorder Diagnosis. BMVC 2018: 115 - [c43]Guangzhen Liu, Jun Hu, An Zhao, Mingyu Ding, Yuqi Huo, Zhiwu Lu:
InsightGAN: Semi-Supervised Feature Learning with Generative Adversarial Network for Drug Abuse Detection. ICONIP (3) 2018: 411-422 - [c42]Yuqi Huo, Mingyu Ding, An Zhao, Jun Hu, Ji-Rong Wen, Zhiwu Lu:
Zero-Shot Learning with Superclasses. ICONIP (3) 2018: 460-472 - [c41]An Zhao, Mingyu Ding, Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Domain-Invariant Projection Learning for Zero-Shot Recognition. NeurIPS 2018: 1027-1038 - [i16]An Zhao, Mingyu Ding, Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Domain-Invariant Projection Learning for Zero-Shot Recognition. CoRR abs/1810.08326 (2018) - [i15]Aoxue Li, Zhiwu Lu, Jiechao Guan, Tao Xiang, Liwei Wang, Ji-Rong Wen:
Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning. CoRR abs/1810.08329 (2018) - [i14]Zhiwu Lu, Jiechao Guan, Aoxue Li, Tao Xiang, An Zhao, Ji-Rong Wen:
Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning. CoRR abs/1810.08332 (2018) - [i13]Yulei Niu, Hanwang Zhang, Manli Zhang, Jianhong Zhang, Zhiwu Lu, Ji-Rong Wen:
Recursive Visual Attention in Visual Dialog. CoRR abs/1812.02664 (2018) - [i12]Nanyi Fei, Jiajun Liu, Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Zero-Shot Learning with Sparse Attribute Propagation. CoRR abs/1812.04427 (2018) - [i11]Mingyu Ding, An Zhao, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Face-Focused Cross-Stream Network for Deception Detection in Videos. CoRR abs/1812.04429 (2018) - 2017
- [j26]Zhiwu Lu, Zhenyong Fu, Tao Xiang, Peng Han, Liwei Wang, Xin Gao:
Learning from Weak and Noisy Labels for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 39(3): 486-500 (2017) - [j25]Jim Jing-Yan Wang, Ivor Wai-Hung Tsang, Xuefeng Cui, Zhiwu Lu, Xin Gao:
Multi-instance dictionary learning via multivariate performance measure optimization. Pattern Recognit. 66: 448-459 (2017) - [j24]Aoxue Li, Zhiwu Lu, Liwei Wang, Tao Xiang, Ji-Rong Wen:
Zero-Shot Scene Classification for High Spatial Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 55(7): 4157-4167 (2017) - [c40]Yulei Niu, Zhiwu Lu, Songfang Huang, Xin Gao, Ji-Rong Wen:
FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation. AAAI 2017: 1474-1480 - [c39]Guangzhen Liu, Peng Han, Yulei Niu, Wenwu Yuan, Zhiwu Lu, Ji-Rong Wen:
Graph-boosted convolutional neural networks for semantic segmentation. IJCNN 2017: 612-618 - [i10]Aoxue Li, Zhiwu Lu, Liwei Wang, Tao Xiang, Xinqi Li, Ji-Rong Wen:
Zero-Shot Fine-Grained Classification by Deep Feature Learning with Semantics. CoRR abs/1707.00785 (2017) - [i9]Yulei Niu, Zhiwu Lu, Ji-Rong Wen, Tao Xiang, Shih-Fu Chang:
Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation. CoRR abs/1709.01220 (2017) - [i8]Yanlei Yu, Zhiwu Lu, Jiajun Liu, Guoping Zhao, Ji-Rong Wen, Kai Zheng:
RUM: network Representation learning throUgh Multi-level structural information preservation. CoRR abs/1710.02836 (2017) - 2016
- [j23]Xuefeng Cui, Zhiwu Lu, Sheng Wang, Jim Jing-Yan Wang, Xin Gao:
CMsearch: simultaneous exploration of protein sequence space and structure space improves not only protein homology detection but also protein structure prediction. Bioinform. 32(12): 332-340 (2016) - [j22]Zhiwu Lu, Liwei Wang, Ji-Rong Wen:
Image classification by visual bag-of-words refinement and reduction. Neurocomputing 173: 373-384 (2016) - [c38]Peng Han, Guangzhen Liu, Songfang Huang, Wenwu Yuan, Zhiwu Lu:
Segmentation with Selectively Propagated Constraints. ICONIP (2) 2016: 585-592 - [c37]Ruqi Zhang, Zhiwu Lu:
Large Scale Sparse Clustering. IJCAI 2016: 2336-2342 - 2015
- [j21]Zhenyong Fu, Zhiwu Lu, Horace H. S. Ip, Hongtao Lu, Yunyun Wang:
Local similarity learning for pairwise constraint propagation. Multim. Tools Appl. 74(11): 3739-3758 (2015) - [j20]Zhiwu Lu, Liwei Wang:
Learning descriptive visual representation for image classification and annotation. Pattern Recognit. 48(2): 498-508 (2015) - [j19]Zhiwu Lu, Liwei Wang:
Noise-robust semi-supervised learning via fast sparse coding. Pattern Recognit. 48(2): 605-612 (2015) - [j18]Zhiwu Lu, Peng Han, Liwei Wang, Ji-Rong Wen:
Semantic Sparse Recoding of Visual Content for Image Applications. IEEE Trans. Image Process. 24(1): 176-188 (2015) - [c36]Zhiwu Lu, Xin Gao, Liwei Wang, Ji-Rong Wen, Songfang Huang:
Noise-Robust Semi-Supervised Learning by Large-Scale Sparse Coding. AAAI 2015: 2828-2834 - [c35]Zhiwu Lu, Xin Gao, Songfang Huang, Liwei Wang, Ji-Rong Wen:
Social Image Parsing by Cross-Modal Data Refinement. IJCAI 2015: 2169-2175 - [c34]Yulei Niu, Zhiwu Lu, Songfang Huang, Peng Han, Ji-Rong Wen:
Weakly Supervised Matrix Factorization for Noisily Tagged Image Parsing. IJCAI 2015: 3749-3755 - [c33]Dehai Liu, Benjin Mei, Jinchuan Chen, Zhiwu Lu, Xiaoyong Du:
Community Based Spammer Detection in Social Networks. WAIM 2015: 554-558 - [i7]Zhiwu Lu, Liwei Wang:
Pairwise Constraint Propagation on Multi-View Data. CoRR abs/1501.04284 (2015) - [i6]Zhiwu Lu, Liwei Wang, Ji-Rong Wen:
Image classification by visual bag-of-words refinement and reduction. CoRR abs/1501.04292 (2015) - [i5]Zhenyong Fu, Zhiwu Lu:
Pairwise Constraint Propagation: A Survey. CoRR abs/1502.05752 (2015) - 2014
- [j17]Wenxuan Xie, Zhiwu Lu, Yuxin Peng, Jianguo Xiao:
Graph-based multimodal semi-supervised image classification. Neurocomputing 138: 167-179 (2014) - [j16]Liuyang Zhou, Zhiwu Lu, Howard Leung, Lifeng Shang:
Spatial temporal pyramid matching using temporal sparse representation for human motion retrieval. Vis. Comput. 30(6-8): 845-854 (2014) - [c32]Zhiwu Lu, Liwei Wang, Ji-Rong Wen:
Direct Semantic Analysis for Social Image Classification. AAAI 2014: 1258-1264 - [i4]Zhiwu Lu, Liwei Wang:
Can Image-Level Labels Replace Pixel-Level Labels for Image Parsing. CoRR abs/1403.1626 (2014) - 2013
- [j15]Zhiwu Lu, Yuxin Peng:
Exhaustive and Efficient Constraint Propagation: A Graph-Based Learning Approach and Its Applications. Int. J. Comput. Vis. 103(3): 306-325 (2013) - [j14]Guangyao Zhou, Zhiwu Lu, Yuxin Peng:
L1-graph construction using structured sparsity. Neurocomputing 120: 441-452 (2013) - [j13]Zhiwu Lu, Yuxin Peng:
Latent semantic learning with structured sparse representation for human action recognition. Pattern Recognit. 46(7): 1799-1809 (2013) - [c31]Zhiwu Lu, Yuxin Peng:
Unified Constraint Propagation on Multi-View Data. AAAI 2013: 640-646 - [c30]Wenxuan Xie, Zhiwu Lu, Yuxin Peng, Jianguo Xiao:
Multimodal semi-supervised image classification by combining tag refinement, graph-based learning and support vector regression. ICIP 2013: 4307-4311 - [c29]Zhiwu Lu, Yuxin Peng:
Learning Descriptive Visual Representation by Semantic Regularized Matrix Factorization. IJCAI 2013: 1523-1529 - 2012
- [c28]Zhiwu Lu, Yuxin Peng:
Heterogeneous Constraint Propagation with Constrained Sparse Representation. ICDM 2012: 1002-1007 - [c27]Zhiwu Lu, Yuxin Peng:
Image annotation by semantic sparse recoding of visual content. ACM Multimedia 2012: 499-508 - [c26]Zhenyong Fu, Hongtao Lu, Horace Ho-Shing Ip, Zhiwu Lu:
Modalities consensus for multi-modal constraint propagation. ACM Multimedia 2012: 773-776 - 2011
- [j12]Zhiwu Lu, Yuxin Peng, Horace Ho-Shing Ip:
Combining multiple clusterings using fast simulated annealing. Pattern Recognit. Lett. 32(15): 1956-1961 (2011) - [j11]Zhiwu Lu, Horace Ho-Shing Ip, Yuxin Peng:
Contextual Kernel and Spectral Methods for Learning the Semantics of Images. IEEE Trans. Image Process. 20(6): 1739-1750 (2011) - [j10]Zhiwu Lu, Horace Ho-Shing Ip:
Spatial Markov Kernels for Image Categorization and Annotation. IEEE Trans. Syst. Man Cybern. Part B 41(4): 976-989 (2011) - [j9]Zhiwu Lu, Horace Ho-Shing Ip:
Automatic Image Annotation Based on Generalized Relevance Models. J. Signal Process. Syst. 65(1): 23-33 (2011) - [c25]Zhenyong Fu, Zhiwu Lu, Horace Ho-Shing Ip, Yuxin Peng, Hongtao Lu:
Symmetric Graph Regularized Constraint Propagation. AAAI 2011: 350-355 - [c24]Zhiwu Lu, Yuxin Peng:
Latent Semantic Learning by Efficient Sparse Coding with Hypergraph Regularization. AAAI 2011: 411-416 - [c23]Zhiwu Lu, Yuxin Peng, Horace Ho-Shing Ip:
Spectral learning of latent semantics for action recognition. ICCV 2011: 1503-1510 - [c22]Zhenyong Fu, Horace Ho-Shing Ip, Hongtao Lu, Zhiwu Lu:
Multi-modal constraint propagation for heterogeneous image clustering. ACM Multimedia 2011: 143-152 - [c21]Zhiwu Lu, Yuxin Peng:
Combining latent semantic learning and reduced hypergraph learning for semi-supervised image categorization. ACM Multimedia 2011: 1409-1412 - [i3]Zhiwu Lu, Horace Ho-Shing Ip, Yuxin Peng:
Exhaustive and Efficient Constraint Propagation: A Semi-Supervised Learning Perspective and Its Applications. CoRR abs/1109.4684 (2011) - [i2]Zhiwu Lu, Yuxin Peng:
Latent Semantic Learning with Structured Sparse Representation for Human Action Recognition. CoRR abs/1109.4979 (2011) - [i1]Zhiwu Lu, Yuxin Peng:
Robust Image Analysis by L1-Norm Semi-supervised Learning. CoRR abs/1110.3109 (2011) - 2010
- [j8]Zhiwu Lu, Yuxin Peng, Horace Ho-Shing Ip:
Image categorization via robust pLSA. Pattern Recognit. Lett. 31(1): 36-43 (2010) - [j7]Zhiwu Lu, Yuxin Peng, Horace Ho-Shing Ip:
Gaussian mixture learning via robust competitive agglomeration. Pattern Recognit. Lett. 31(7): 539-547 (2010) - [j6]Zhiwu Lu, Horace Ho-Shing Ip:
Combining Context, Consistency, and Diversity Cues for Interactive Image Categorization. IEEE Trans. Multim. 12(3): 194-203 (2010) - [c20]Zhiwu Lu, Horace Ho-Shing Ip:
Constrained Spectral Clustering via Exhaustive and Efficient Constraint Propagation. ECCV (6) 2010: 1-14 - [c19]Qiong Zhao, Zhiwu Lu, Horace Ho-Shing Ip:
Action Recognition Based on Learnt Motion Semantic Vocabulary. PCM (1) 2010: 193-202
2000 – 2009
- 2009
- [j5]Zhiwu Lu, Horace Ho-Shing Ip:
Generalized Competitive Learning of Gaussian Mixture Models. IEEE Trans. Syst. Man Cybern. Part B 39(4): 901-909 (2009) - [c18]Lihua Wang, Zhiwu Lu, Horace Ho-Shing Ip:
Image Categorization Based on a Hierarchical Spatial Markov Model. CAIP 2009: 766-773 - [c17]Qizhen He, Zhiwu Lu, Horace Ho-Shing Ip:
View topics: automatically generated characteristic view for content-based 3D object retrieval. CIVR 2009 - [c16]Zhiwu Lu, Horace Ho-Shing Ip, Qizhen He:
Context-based multi-label image annotation. CIVR 2009 - [c15]Zhiwu Lu, Horace Ho-Shing Ip:
Image categorization with spatial mismatch kernels. CVPR 2009: 397-404 - [c14]Zhiwu Lu, Horace Ho-Shing Ip:
Image categorization by learning with context and consistency. CVPR 2009: 2719-2726 - [c13]Yuxin Peng, Zhiwu Lu, Jianguo Xiao:
Semantic concept annotation based on audio PLSA model. ACM Multimedia 2009: 841-844 - [c12]Zhiwu Lu, Horace Ho-Shing Ip:
Generalized Relevance Models for Automatic Image Annotation. PCM 2009: 245-255 - 2008
- [j4]Zhiwu Lu, Yuxin Peng:
A Semi-supervised Learning Algorithm on Gaussian Mixture with Automatic Model Selection. Neural Process. Lett. 27(1): 57-66 (2008) - [c11]Zhiwu Lu, Yuxin Peng, Jianguo Xiao:
From Comparing Clusterings to Combining Clusterings. AAAI 2008: 665-670 - [c10]Zhiwu Lu, Yuxin Peng, Jianguo Xiao:
Unsupervised learning of finite mixtures using entropy regularization and its application to image segmentation. CVPR 2008 - 2007
- [j3]Zhiwu Lu:
Entropy Regularized Likelihood Learning on Gaussian Mixture: Two Gradient Implementations for Automatic Model Selection. Neural Process. Lett. 25(1): 17-30 (2007) - [c9]Zhiwu Lu, Xiaoqing Lu, Zhiyuan Ye:
Asymptotic Convergence Properties of Entropy Regularized Likelihood Learning on Finite Mixtures with Automatic Model Selection. ISNN (1) 2007: 986-993 - [c8]Zhiwu Lu, Xiaoqing Lu, Zhiyuan Ye:
Unsupervised Image Categorization Using Constrained Entropy-Regularized Likelihood Learning with Pairwise Constraints. ISNN (1) 2007: 1193-1200 - [c7]Zhiwu Lu, Xiaoqing Lu, Zhiyuan Ye:
Entropy Regularization, Automatic Model Selection, and Unsupervised Image Segmentation. PAKDD 2007: 173-182 - 2006
- [j2]Zhiwu Lu:
An iterative algorithm for entropy regularized likelihood learning on Gaussian mixture with automatic model selection. Neurocomputing 69(13-15): 1674-1677 (2006) - [j1]Zhiwu Lu:
A regularized minimum cross-entropy algorithm on mixtures of experts for time series prediction and curve detection. Pattern Recognit. Lett. 27(9): 947-955 (2006) - [c6]Zhiwu Lu, Jinwen Ma:
A Gradient Entropy Regularized Likelihood Learning Algorithm on Gaussian Mixture with Automatic Model Selection. ISNN (1) 2006: 464-469 - [c5]Zhiwu Lu:
Unsupervised Image Segmentation Using an Iterative Entropy Regularized Likelihood Learning Algorithm. ISNN (2) 2006: 492-497 - [c4]Zhiwu Lu:
A Regularized Minimum Cross-Entropy Algorithm on Mixtures of Experts for Time Series Prediction. ISNN (2) 2006: 753-758 - [c3]Xiaoqing Lu, Zhiwu Lu:
A Publishing Framework for Digitally Augmented Paper Documents: Towards Cross-Media Information Integration. PCM 2006: 494-501 - [c2]Zhiwu Lu, Xiaoqing Lu:
A Generalized Competitive Learning Algorithm on Gaussian Mixture with Automatic Model Selection. RSKT 2006: 560-567 - 2005
- [c1]Zhiwu Lu, QianSheng Cheng, Jinwen Ma:
A Gradient BYY Harmony Learning Algorithm on Mixture of Experts for Curve Detection. IDEAL 2005: 250-257
Coauthor Index
Horace Ho-Shing Ip
aka: Horace H. S. Ip
aka: Horace H. S. Ip
Ji-Rong Wen
aka: Jirong Wen
aka: Jirong Wen
[j35] [c88] [c87] [c82] [c74] [i34] [i33] [i32] [j34] [j32] [c70] [c66] [c63] [c61] [i29] [i26] [i25] [j30] [c53] [i24] [i23] [i22] [j28] [c52] [c50] [c49] [c47] [c46] [i19] [j27] [c42] [c41] [i16] [i15] [i14] [i13] [i12] [i11] [j24] [c40] [c39] [i10] [i9] [i8] [j22] [j18] [c36] [c35] [c34] [i6] [c32]
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