Zhiwu Lu - RankMe

200 papers A* 55A 13B 8C 2Misc 6Journal 89Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Adaptive Task Balancing for Visual Instruction Tuning via Inter-Task Contribution and Intra-Task Difficulty. WWW Yanqi Dai, Yong Wang, Zebin You, Dong Jing, Xiangxiang Chu, Zhiwu Lu
2026	J	`jnl`	Harder Is Better: Boosting Mathematical Reasoning via Difficulty-Aware GRPO and Multi-Aspect Question Reformulation. CoRR Yanqi Dai, Yuxiang Ji, Xiao Zhang, Yong Wang, Xiangxiang Chu, Zhiwu Lu
2026	J	`jnl`	Say Cheese! Detail-Preserving Portrait Collection Generation via Natural Language Edits. CoRR Zelong Sun, Jiahui Wu, Ying Ba, Dong Jing, Zhiwu Lu
2026	J	`jnl`	When would Vision-Proprioception Policies Fail in Robotic Manipulation? CoRR Jingxian Lu, Wenke Xia, Yuxuan Wu, Zhiwu Lu, Di Hu
2025	J	`jnl`	Bridging Writing Manner Gap in Visual Instruction Tuning by Creating LLM-aligned Instructions. CoRR Dong Jing, Nanyi Fei, Zhiwu Lu
2025	J	`jnl`	Calibrating Biased Distribution in VFM-derived Latent Space via Cross-Domain Geometric Consistency. CoRR Yanbiao Ma, Wei Dai, Bowei Liu, Jiayi Chen, Wenke Huang, Guancheng Wan, Zhiwu Lu, Junchi Yan
2025	J	`jnl`	CoTMR: Chain-of-Thought Multi-Scale Reasoning for Training-Free Zero-Shot Composed Image Retrieval. CoRR Zelong Sun, Dong Jing, Zhiwu Lu
2025	Misc	`conf`	Enhancing Data-Free Class-Incremental Learning via Image-Centric Dual Distillation. ICASSP Feifei Fu, Zhiwu Lu
2025	J	`jnl`	From Perception to Cognition: A Survey of Vision-Language Interactive Reasoning in Multimodal Large Language Models. CoRR Chenyue Zhou, Mingxuan Wang, Yanbiao Ma, Chenxu Wu, Wanyi Chen, Zhe Qian, Xinyu Liu, Yiwei Zhang, Junhao Wang, Hengbo Xu, Fei Luo, Xiaohua Chen, Xiaoshuai Hao, Hehan Li, Andi Zhang, Wenxuan Wang, Lingling Li, Zhiwu Lu, Yang Lu, Yike Guo
2025	J	`jnl`	Incentivizing Multimodal Reasoning in Large Models for Direct Robot Manipulation. CoRR Weiliang Tang, Dong Jing, Jia-Hui Pan, Zhiwu Lu, Yun-Hui Liu, Li Erran Li, Mingyu Ding, Chi-Wing Fu
2025	J	`jnl`	LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning. CoRR Zebin You, Shen Nie, Xiaolu Zhang, Jun Hu, Jun Zhou, Zhiwu Lu, Ji-Rong Wen, Chongxuan Li
2025	A*	`conf`	Leveraging Large Vision-Language Model as User Intent-Aware Encoder for Composed Image Retrieval. AAAI Zelong Sun, Dong Jing, Guoxing Yang, Nanyi Fei, Zhiwu Lu
2025	A*	`conf`	MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents. ICLR Yanqi Dai, Huanran Hu, Lei Wang, Shengjie Jin, Xu Chen, Zhiwu Lu
2025	J	`jnl`	Mixture of Horizons in Action Chunking. CoRR Dong Jing, Gang Wang, Jiaqi Liu, Weiliang Tang, Zelong Sun, Yunchao Yao, Zhenyu Wei, Yun-Hui Liu, Zhiwu Lu, Mingyu Ding
2024	J	`jnl`	Awaker2.5-VL: Stably Scaling MLLMs with Parameter-Efficient Mixture of Experts. CoRR Jinqiang Long, Yanqi Dai, Guoxing Yang, Hongpeng Lin, Nanyi Fei, Yizhao Gao, Zhiwu Lu
2024	J	`jnl`	CoTBal: Comprehensive Task Balancing for Multi-Task Visual Instruction Tuning. CoRR Yanqi Dai, Dong Jing, Nanyi Fei, Zhiwu Lu
2024	A*	`conf`	Dual-Enhanced Coreset Selection with Class-Wise Collaboration for Online Blurry Class Incremental Learning. CVPR Yutian Luo, Shiqi Zhao, Haoran Wu, Zhiwu Lu
2024	B	`conf`	Enhancing Class-Incremental Learning for Image Classification via Bidirectional Transport and Selective Momentum. ICMR Feifei Fu, Yizhao Gao, Zhiwu Lu
2024	A*	`conf`	FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding. NeurIPS Dong Jing, Xiaolong He, Yutian Luo, Nanyi Fei, Guoxing Yang, Wei Wei, Huiwen Zhao, Zhiwu Lu
2024	Misc	`conf`	Image Retrieval with Composed Query by Multi-Scale Multi-Modal Fusion. ICASSP Zelong Sun, Guoxing Yang, Zhiwu Lu, Hao Jiang, Guojie Zhu, Zhao Cao
2024	J	`jnl`	Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval. CoRR Zelong Sun, Dong Jing, Guoxing Yang, Nanyi Fei, Zhiwu Lu
2024	J	`jnl`	MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents. CoRR Yanqi Dai, Huanran Hu, Lei Wang, Shengjie Jin, Xu Chen, Zhiwu Lu
2024	Misc	`conf`	Multi-Level Contrastive Learning For Hybrid Cross-Modal Retrieval. ICASSP Yiming Zhao, Haoyu Lu, Shiqi Zhao, Haoran Wu, Zhiwu Lu
2024	Misc	`conf`	Progressive Image Synthesis from Semantics to Details with Denoising Diffusion GAN. ICASSP Guoxing Yang, Haoyu Lu, Chongxuan Li, Guang Zhou, Haoran Wu, Zhiwu Lu
2024	A*	`conf`	UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling. ICLR Haoyu Lu, Yuqi Huo, Guoxing Yang, Zhiwu Lu, Wei Zhan, Masayoshi Tomizuka, Mingyu Ding
2024	Misc	`conf`	Unsupervised Continual Learning of Image Representation Via Rememory-Based Simsiam. ICASSP Feifei Fu, Yizhao Gao, Zhiwu Lu, Haoran Wu, Shiqi Zhao
2024	A*	`conf`	VDT: General-purpose Video Diffusion Transformers via Mask Modeling. ICLR Haoyu Lu, Guoxing Yang, Nanyi Fei, Yuqi Huo, Zhiwu Lu, Ping Luo, Mingyu Ding
2024	—	`conf`	VEMO: A Versatile Elastic Multi-modal Model for Search-Oriented Multi-task Learning. ECIR (1) Nanyi Fei, Hao Jiang, Haoyu Lu, Jinqiang Long, Yanqi Dai, Tuo Fan, Zhao Cao, Zhiwu Lu
2023	—	`conf`	Binary Neural Network for Video Action Recognition. MMM (1) Hongfeng Han, Zhiwu Lu, Ji-Rong Wen
2023	B	`conf`	CMMT: Cross-Modal Meta-Transformer for Video-Text Retrieval. ICMR Yizhao Gao, Zhiwu Lu
2023	—	`conf`	CTDA: Contrastive Temporal Domain Adaptation for Action Segmentation. MMM (2) Hongfeng Han, Zhiwu Lu, Ji-Rong Wen
2023	J	`jnl`	Cross-modal Contrastive Learning for Generalizable and Efficient Image-text Retrieval. Mach. Intell. Res. Haoyu Lu, Yuqi Huo, Mingyu Ding, Nanyi Fei, Zhiwu Lu
2023	A	`conf`	DiST-GAN: Distillation-based Semantic Transfer for Text-Guided Face Generation. ICME Guoxing Yang, Feifei Fu, Nanyi Fei, Haoran Wu, Ruitao Ma, Zhiwu Lu
2023	A	`conf`	Improvable Gap Balancing for Multi-Task Learning. UAI Yanqi Dai, Nanyi Fei, Zhiwu Lu
2023	J	`jnl`	Improvable Gap Balancing for Multi-Task Learning. CoRR Yanqi Dai, Nanyi Fei, Zhiwu Lu
2023	B	`conf`	Learning with Adaptive Knowledge for Continual Image-Text Modeling. ICMR Yutian Luo, Yizhao Gao, Zhiwu Lu
2023	A*	`conf`	Mixup-Inspired Video Class-Incremental Learning. ICDM Jinqiang Long, Yizhao Gao, Zhiwu Lu
2023	A	`conf`	R-STAR: Robust Self-Taught Task-Wise Reweighting for Rehearsal-Based Class Incremental Learning. ECAI Yutian Luo, Yizhao Gao, Haoran Wu, Ruitao Ma, Zhiwu Lu
2023	B	`conf`	Shot Retrieval and Assembly with Text Script for Video Montage Generation. ICMR Guoxing Yang, Haoyu Lu, Zelong Sun, Zhiwu Lu
2023	—	`conf`	Song-to-Video Translation: Writing a Video from Song Lyrics Based on Multimodal Pre-training. ADMA (2) Feifei Fu, Zelong Sun, Guoxing Yang, Xiaolong He, Zhiwu Lu
2023	A	`conf`	Task-Sensitive Discriminative Mutual Attention Network for Few-Shot Learning. ECAI Baogui Xu, Chengjin Xu, Zhiwu Lu, Bing Su
2023	J	`jnl`	Text-to-Chinese-painting Method Based on Multi-domain VQGAN. Int. J. Softw. Informatics Zelong Sun, Guoxing Yang, Jingyuan Wen, Nanyi Fei, Zhiwu Lu, Jirong Wen
2023	J	`jnl`	Text2Poster: Laying out Stylized Texts on Retrieved Images. CoRR Chuhao Jin, Hongteng Xu, Ruihua Song, Zhiwu Lu
2023	J	`jnl`	TikTalk: A Multi-Modal Dialogue Dataset for Real-World Chitchat. CoRR Hongpeng Lin, Ludan Ruan, Wenke Xia, Peiyu Liu, Jingyuan Wen, Yixin Xu, Di Hu, Ruihua Song, Wayne Xin Zhao, Qin Jin, Zhiwu Lu
2023	A*	`conf`	TikTalk: A Video-Based Dialogue Dataset for Multi-Modal Chitchat in Real World. ACM Multimedia Hongpeng Lin, Ludan Ruan, Wenke Xia, Peiyu Liu, Jingyuan Wen, Yixin Xu, Di Hu, Ruihua Song, Wayne Xin Zhao, Qin Jin, Zhiwu Lu
2023	J	`jnl`	UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling. CoRR Haoyu Lu, Mingyu Ding, Yuqi Huo, Guoxing Yang, Zhiwu Lu, Masayoshi Tomizuka, Wei Zhan
2023	J	`jnl`	VDT: An Empirical Study on Video Diffusion with Transformers. CoRR Haoyu Lu, Guoxing Yang, Nanyi Fei, Yuqi Huo, Zhiwu Lu, Ping Luo, Mingyu Ding
2022	J	`jnl`	A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language. CoRR Bing Su, Dazhao Du, Zhao Yang, Yujie Zhou, Jiangmeng Li, Anyi Rao, Hao Sun, Zhiwu Lu, Ji-Rong Wen
2022	A*	`conf`	BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling. NeurIPS Yizhao Gao, Nanyi Fei, Haoyu Lu, Zhiwu Lu, Hao Jiang, Yijie Li, Zhao Cao
2022	A*	`conf`	COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval. CVPR Haoyu Lu, Nanyi Fei, Yuqi Huo, Yizhao Gao, Zhiwu Lu, Ji-Rong Wen
2022	J	`jnl`	COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval. CoRR Haoyu Lu, Nanyi Fei, Yuqi Huo, Yizhao Gao, Zhiwu Lu, Ji-Rong Wen
2022	A*	`conf`	Fast-Rate PAC-Bayesian Generalization Bounds for Meta-Learning. ICML Jiechao Guan, Zhiwu Lu
2022	A*	`conf`	Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms. NeurIPS Jiechao Guan, Yong Liu, Zhiwu Lu
2022	A*	`conf`	LGDN: Language-Guided Denoising Network for Video-Language Modeling. NeurIPS Haoyu Lu, Mingyu Ding, Nanyi Fei, Yuqi Huo, Zhiwu Lu
2022	J	`jnl`	LGDN: Language-Guided Denoising Network for Video-Language Modeling. CoRR Haoyu Lu, Mingyu Ding, Nanyi Fei, Yuqi Huo, Zhiwu Lu
2022	A*	`conf`	Learning Versatile Neural Architectures by Propagating Network Codes. ICLR Mingyu Ding, Yuqi Huo, Haoyu Lu, Linjie Yang, Zhe Wang, Zhiwu Lu, Jingdong Wang, Ping Luo
2022	J	`jnl`	Multimodal foundation models are better simulators of the human brain. CoRR Haoyu Lu, Qiongyi Zhou, Nanyi Fei, Zhiwu Lu, Mingyu Ding, Jingyuan Wen, Changde Du, Xin Zhao, Hao Sun, Huiguang He, Ji-Rong Wen
2022	—	`conf`	SST-VLM: Sparse Sampling-Twice Inspired Video-Language Model. ACCV (4) Yizhao Gao, Zhiwu Lu
2022	A*	`conf`	SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition. AAAI Zhaoxin Fan, Zhenbo Song, Hongyan Liu, Zhiwu Lu, Jun He, Xiaoyong Du
2022	—	`conf`	Supervised Contrastive Learning for Few-Shot Action Classification. ECML/PKDD (3) Hongfeng Han, Nanyi Fei, Zhiwu Lu, Ji-Rong Wen
2022	A*	`conf`	Task Relatedness-Based Generalization Bounds for Meta Learning. ICLR Jiechao Guan, Zhiwu Lu
2022	Misc	`conf`	Text2Poster: Laying Out Stylized Texts on Retrieved Images. ICASSP Chuhao Jin, Hongteng Xu, Ruihua Song, Zhiwu Lu
2022	B	`conf`	Visual Prompt Tuning for Few-Shot Text Classification. COLING Jingyuan Wen, Yutian Luo, Nanyi Fei, Guoxing Yang, Zhiwu Lu, Hao Jiang, Jie Jiang, Zhao Cao
2021	A*	`conf`	A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry. AAAI Yao Lu, Xiaoli Xu, Mingyu Ding, Zhiwu Lu, Tao Xiang
2021	A	`conf`	AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning. WACV Jianhong Zhang, Manli Zhang, Zhiwu Lu, Tao Xiang
2021	A	`conf`	Complex Action Segmentation in Compressed Videos. ICME Hongfeng Han, Guoxing Yang, Yuqi Huo, Zhiwu Lu, Ji-Rong Wen
2021	A*	`conf`	Compressed Video Contrastive Learning. NeurIPS Yuqi Huo, Mingyu Ding, Haoyu Lu, Nanyi Fei, Zhiwu Lu, Ji-Rong Wen, Ping Luo
2021	J	`jnl`	Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning. CoRR Yizhao Gao, Nanyi Fei, Guangzhen Liu, Zhiwu Lu, Tao Xiang, Songfang Huang
2021	A	`conf`	Contrastive prototype learning with augmented embeddings for few-shot learning. UAI Yizhao Gao, Nanyi Fei, Guangzhen Liu, Zhiwu Lu, Tao Xiang
2021	A*	`conf`	Counterfactual VQA: A Cause-Effect Look at Language Bias. CVPR Yulei Niu, Kaihua Tang, Hanwang Zhang, Zhiwu Lu, Xian-Sheng Hua, Ji-Rong Wen
2021	A	`conf`	Domain-Adaptive Few-Shot Learning. WACV An Zhao, Mingyu Ding, Zhiwu Lu, Tao Xiang, Yulei Niu, Jiechao Guan, Ji-Rong Wen
2021	A*	`conf`	HR-NAS: Searching Efficient High-Resolution Neural Architectures With Lightweight Transformers. CVPR Mingyu Ding, Xiaochen Lian, Linjie Yang, Peng Wang, Xiaojie Jin, Zhiwu Lu, Ping Luo
2021	J	`jnl`	HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight Transformers. CoRR Mingyu Ding, Xiaochen Lian, Linjie Yang, Peng Wang, Xiaojie Jin, Zhiwu Lu, Ping Luo
2021	A*	`conf`	IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning. ICLR Manli Zhang, Jianhong Zhang, Zhiwu Lu, Tao Xiang, Mingyu Ding, Songfang Huang
2021	A*	`conf`	L2M-GAN: Learning To Manipulate Latent Space Semantics for Facial Attribute Editing. CVPR Guoxing Yang, Nanyi Fei, Mingyu Ding, Guangzhen Liu, Zhiwu Lu, Tao Xiang
2021	J	`jnl`	Learning Versatile Neural Architectures by Propagating Network Codes. CoRR Mingyu Ding, Yuqi Huo, Haoyu Lu, Linjie Yang, Zhe Wang, Zhiwu Lu, Jingdong Wang, Ping Luo
2021	A*	`conf`	MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning. ICLR Nanyi Fei, Zhiwu Lu, Tao Xiang, Songfang Huang
2021	J	`jnl`	Pre-Trained Models: Past, Present and Future. CoRR 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
2021	J	`jnl`	Pre-trained models: Past, present and future. AI Open 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
2021	A*	`conf`	Self-Supervised Video Representation Learning with Constrained Spatiotemporal Jigsaw. IJCAI Yuqi Huo, Mingyu Ding, Haoyu Lu, Ziyuan Huang, Mingqian Tang, Zhiwu Lu, Tao Xiang
2021	J	`jnl`	Variational Context: Exploiting Visual and Textual Context for Grounding Referring Expressions. IEEE Trans. Pattern Anal. Mach. Intell. Yulei Niu, Hanwang Zhang, Zhiwu Lu, Shih-Fu Chang
2021	A	`conf`	Vid2Int: Detecting Implicit Intention from Long Dialog Videos. WACV Xiaoli Xu, Yao Lu, Zhiwu Lu, Tao Xiang
2021	A	`conf`	Weakly-Supervised Attribute Segmentation. ICME Guangzhen Liu, Zhiwu Lu
2021	J	`jnl`	WenLan 2.0: Make AI Imagine via a Multimodal Foundation Model. CoRR 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
2021	J	`jnl`	WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training. CoRR 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
2021	A*	`conf`	Z-Score Normalization, Hubness, and Few-Shot Learning. ICCV Nanyi Fei, Yizhao Gao, Zhiwu Lu, Tao Xiang
2021	J	`jnl`	Zero and Few Shot Learning With Semantic Feature Synthesis and Competitive Learning. IEEE Trans. Pattern Anal. Mach. Intell. Jiechao Guan, Zhiwu Lu, Tao Xiang, Aoxue Li, An Zhao, Ji-Rong Wen
2020	J	`jnl`	AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning. CoRR Jianhong Zhang, Manli Zhang, Zhiwu Lu, Tao Xiang, Ji-Rong Wen
2020	J	`jnl`	Counterfactual VQA: A Cause-Effect Look at Language Bias. CoRR Yulei Niu, Kaihua Tang, Hanwang Zhang, Zhiwu Lu, Xian-Sheng Hua, Ji-Rong Wen
2020	J	`jnl`	Discriminativeness-Preserved Domain Adaptation for Few-Shot Learning. IEEE Access Guangzhen Liu, Zhiwu Lu
2020	J	`jnl`	Domain-Adaptive Few-Shot Learning. CoRR An Zhao, Mingyu Ding, Zhiwu Lu, Tao Xiang, Yulei Niu, Jiechao Guan, Ji-Rong Wen, Ping Luo
2020	A*	`conf`	Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow. AAAI Mingyu Ding, Zhe Wang, Bolei Zhou, Jianping Shi, Zhiwu Lu, Ping Luo
2020	—	`conf`	Few-Shot Zero-Shot Learning: Knowledge Transfer with Less Supervision. ACCV (3) Nanyi Fei, Jiechao Guan, Zhiwu Lu, Yizhao Gao
2020	—	`conf`	Large-Scale Cross-Domain Few-Shot Learning. ACCV (3) Jiechao Guan, Manli Zhang, Zhiwu Lu
2020	—	`conf`	Learning Depth-Guided Convolutions for Monocular 3D Object Detection. CVPR Workshops Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, Ping Luo
2020	A*	`conf`	Learning Depth-Guided Convolutions for Monocular 3D Object Detection. CVPR Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, Ping Luo
2020	—	`conf`	Lightweight Action Recognition in Compressed Videos. ECCV Workshops (2) Yuqi Huo, Xiaoli Xu, Yao Lu, Yulei Niu, Mingyu Ding, Zhiwu Lu, Tao Xiang, Ji-Rong Wen
2020	J	`jnl`	Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding. CoRR Jiechao Guan, Zhiwu Lu, Tao Xiang, Timothy M. Hospedales
2020	J	`jnl`	Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning. Int. J. Comput. Vis. Aoxue Li, Zhiwu Lu, Jiechao Guan, Tao Xiang, Liwei Wang, Ji-Rong Wen
2019	A*	`conf`	Coarse-to-Fine Grained Classification. SIGIR Yuqi Huo, Yao Lu, Yulei Niu, Zhiwu Lu, Ji-Rong Wen
2019	J	`jnl`	Cross-domain mapping learning for transductive zero-shot learning. Comput. Vis. Image Underst. Mingyu Ding, Zhe Wang, Zhiwu Lu
2019	J	`jnl`	Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow. CoRR Mingyu Ding, Zhe Wang, Bolei Zhou, Jianping Shi, Zhiwu Lu, Ping Luo
2019	A*	`conf`	Face-Focused Cross-Stream Network for Deception Detection in Videos. CVPR Mingyu Ding, An Zhao, Zhiwu Lu, Tao Xiang, Ji-Rong Wen
2019	A	`conf`	Joint Projection and Subspace Learning for Zero-Shot Recognition. ICME Guangzhen Liu, Jiechao Guan, Manli Zhang, Jianhong Zhang, Zihao Wang, Zhiwu Lu
2019	A*	`conf`	Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy. CVPR Aoxue Li, Tiange Luo, Zhiwu Lu, Tao Xiang, Liwei Wang
2019	J	`jnl`	Learning Depth-Guided Convolutions for Monocular 3D Object Detection. CoRR Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, Ping Luo
2019	J	`jnl`	Mobile Video Action Recognition. CoRR Yuqi Huo, Xiaoli Xu, Yao Lu, Yulei Niu, Zhiwu Lu, Ji-Rong Wen
2019	J	`jnl`	Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation. IEEE Trans. Image Process. Yulei Niu, Zhiwu Lu, Ji-Rong Wen, Tao Xiang, Shih-Fu Chang
2019	A*	`conf`	RUM: Network Representation Learning Using Motifs. ICDE Yanlei Yu, Zhiwu Lu, Jiajun Liu, Guoping Zhao, Ji-Rong Wen
2019	A*	`conf`	Recursive Visual Attention in Visual Dialog. CVPR Yulei Niu, Hanwang Zhang, Manli Zhang, Jianhong Zhang, Zhiwu Lu, Ji-Rong Wen
2019	J	`jnl`	Variational Context: Exploiting Visual and Textual Context for Grounding Referring Expressions. CoRR Yulei Niu, Hanwang Zhang, Zhiwu Lu, Shih-Fu Chang
2019	A	`conf`	Zero-Shot Learning with Few Seen Class Samples. ICME Yuqi Huo, Jiechao Guan, Jianhong Zhang, Manli Zhang, Ji-Rong Wen, Zhiwu Lu
2018	A	`conf`	DeepInsight: Multi-Task Multi-Scale Deep Learning for Mental Disorder Diagnosis. BMVC Mingyu Ding, Yuqi Huo, Jun Hu, Zhiwu Lu
2018	A*	`conf`	Domain-Invariant Projection Learning for Zero-Shot Recognition. NeurIPS An Zhao, Mingyu Ding, Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen
2018	J	`jnl`	Domain-Invariant Projection Learning for Zero-Shot Recognition. CoRR An Zhao, Mingyu Ding, Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen
2018	—	`conf`	Extreme Reverse Projection Learning for Zero-Shot Recognition. ACCV (1) Jiechao Guan, An Zhao, Zhiwu Lu
2018	J	`jnl`	Face-Focused Cross-Stream Network for Deception Detection in Videos. CoRR Mingyu Ding, An Zhao, Zhiwu Lu, Tao Xiang, Ji-Rong Wen
2018	—	`conf`	InsightGAN: Semi-Supervised Feature Learning with Generative Adversarial Network for Drug Abuse Detection. ICONIP (3) Guangzhen Liu, Jun Hu, An Zhao, Mingyu Ding, Yuqi Huo, Zhiwu Lu
2018	J	`jnl`	Large-Scale Sparse Learning From Noisy Tags for Semantic Segmentation. IEEE Trans. Cybern. Aoxue Li, Zhiwu Lu, Liwei Wang, Peng Han, Ji-Rong Wen
2018	J	`jnl`	Recursive Visual Attention in Visual Dialog. CoRR Yulei Niu, Hanwang Zhang, Manli Zhang, Jianhong Zhang, Zhiwu Lu, Ji-Rong Wen
2018	J	`jnl`	Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning. CoRR Aoxue Li, Zhiwu Lu, Jiechao Guan, Tao Xiang, Liwei Wang, Ji-Rong Wen
2018	J	`jnl`	Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning. CoRR Zhiwu Lu, Jiechao Guan, Aoxue Li, Tao Xiang, An Zhao, Ji-Rong Wen
2018	J	`jnl`	Zero-Shot Learning with Sparse Attribute Propagation. CoRR Nanyi Fei, Jiajun Liu, Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen
2018	—	`conf`	Zero-Shot Learning with Superclasses. ICONIP (3) Yuqi Huo, Mingyu Ding, An Zhao, Jun Hu, Ji-Rong Wen, Zhiwu Lu
2017	A*	`conf`	FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation. AAAI Yulei Niu, Zhiwu Lu, Songfang Huang, Xin Gao, Ji-Rong Wen
2017	B	`conf`	Graph-boosted convolutional neural networks for semantic segmentation. IJCNN Guangzhen Liu, Peng Han, Yulei Niu, Wenwu Yuan, Zhiwu Lu, Ji-Rong Wen
2017	J	`jnl`	Learning from Weak and Noisy Labels for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Zhiwu Lu, Zhenyong Fu, Tao Xiang, Peng Han, Liwei Wang, Xin Gao
2017	J	`jnl`	Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation. CoRR Yulei Niu, Zhiwu Lu, Ji-Rong Wen, Tao Xiang, Shih-Fu Chang
2017	J	`jnl`	Multi-instance dictionary learning via multivariate performance measure optimization. Pattern Recognit. Jim Jing-Yan Wang, Ivor Wai-Hung Tsang, Xuefeng Cui, Zhiwu Lu, Xin Gao
2017	J	`jnl`	RUM: network Representation learning throUgh Multi-level structural information preservation. CoRR Yanlei Yu, Zhiwu Lu, Jiajun Liu, Guoping Zhao, Ji-Rong Wen, Kai Zheng
2017	J	`jnl`	Zero-Shot Fine-Grained Classification by Deep Feature Learning with Semantics. CoRR Aoxue Li, Zhiwu Lu, Liwei Wang, Tao Xiang, Xinqi Li, Ji-Rong Wen
2017	J	`jnl`	Zero-Shot Scene Classification for High Spatial Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. Aoxue Li, Zhiwu Lu, Liwei Wang, Tao Xiang, Ji-Rong Wen
2016	J	`jnl`	CMsearch: simultaneous exploration of protein sequence space and structure space improves not only protein homology detection but also protein structure prediction. Bioinform. Xuefeng Cui, Zhiwu Lu, Sheng Wang, Jim Jing-Yan Wang, Xin Gao
2016	J	`jnl`	Image classification by visual bag-of-words refinement and reduction. Neurocomputing Zhiwu Lu, Liwei Wang, Ji-Rong Wen
2016	A*	`conf`	Large Scale Sparse Clustering. IJCAI Ruqi Zhang, Zhiwu Lu
2016	—	`conf`	Segmentation with Selectively Propagated Constraints. ICONIP (2) Peng Han, Guangzhen Liu, Songfang Huang, Wenwu Yuan, Zhiwu Lu
2015	—	`conf`	Community Based Spammer Detection in Social Networks. WAIM Dehai Liu, Benjin Mei, Jinchuan Chen, Zhiwu Lu, Xiaoyong Du
2015	J	`jnl`	Image classification by visual bag-of-words refinement and reduction. CoRR Zhiwu Lu, Liwei Wang, Ji-Rong Wen
2015	J	`jnl`	Learning descriptive visual representation for image classification and annotation. Pattern Recognit. Zhiwu Lu, Liwei Wang
2015	J	`jnl`	Local similarity learning for pairwise constraint propagation. Multim. Tools Appl. Zhenyong Fu, Zhiwu Lu, Horace H. S. Ip, Hongtao Lu, Yunyun Wang
2015	A*	`conf`	Noise-Robust Semi-Supervised Learning by Large-Scale Sparse Coding. AAAI Zhiwu Lu, Xin Gao, Liwei Wang, Ji-Rong Wen, Songfang Huang
2015	J	`jnl`	Noise-robust semi-supervised learning via fast sparse coding. Pattern Recognit. Zhiwu Lu, Liwei Wang
2015	J	`jnl`	Pairwise Constraint Propagation on Multi-View Data. CoRR Zhiwu Lu, Liwei Wang
2015	J	`jnl`	Pairwise Constraint Propagation: A Survey. CoRR Zhenyong Fu, Zhiwu Lu
2015	J	`jnl`	Semantic Sparse Recoding of Visual Content for Image Applications. IEEE Trans. Image Process. Zhiwu Lu, Peng Han, Liwei Wang, Ji-Rong Wen
2015	A*	`conf`	Social Image Parsing by Cross-Modal Data Refinement. IJCAI Zhiwu Lu, Xin Gao, Songfang Huang, Liwei Wang, Ji-Rong Wen
2015	A*	`conf`	Weakly Supervised Matrix Factorization for Noisily Tagged Image Parsing. IJCAI Yulei Niu, Zhiwu Lu, Songfang Huang, Peng Han, Ji-Rong Wen
2014	J	`jnl`	Can Image-Level Labels Replace Pixel-Level Labels for Image Parsing. CoRR Zhiwu Lu, Liwei Wang
2014	A*	`conf`	Direct Semantic Analysis for Social Image Classification. AAAI Zhiwu Lu, Liwei Wang, Ji-Rong Wen
2014	J	`jnl`	Graph-based multimodal semi-supervised image classification. Neurocomputing Wenxuan Xie, Zhiwu Lu, Yuxin Peng, Jianguo Xiao
2014	J	`jnl`	Spatial temporal pyramid matching using temporal sparse representation for human motion retrieval. Vis. Comput. Liuyang Zhou, Zhiwu Lu, Howard Leung, Lifeng Shang
2013	J	`jnl`	Exhaustive and Efficient Constraint Propagation: A Graph-Based Learning Approach and Its Applications. Int. J. Comput. Vis. Zhiwu Lu, Yuxin Peng
2013	J	`jnl`	L Neurocomputing Guangyao Zhou, Zhiwu Lu, Yuxin Peng
2013	J	`jnl`	Latent semantic learning with structured sparse representation for human action recognition. Pattern Recognit. Zhiwu Lu, Yuxin Peng
2013	A*	`conf`	Learning Descriptive Visual Representation by Semantic Regularized Matrix Factorization. IJCAI Zhiwu Lu, Yuxin Peng
2013	B	`conf`	Multimodal semi-supervised image classification by combining tag refinement, graph-based learning and support vector regression. ICIP Wenxuan Xie, Zhiwu Lu, Yuxin Peng, Jianguo Xiao
2013	A*	`conf`	Unified Constraint Propagation on Multi-View Data. AAAI Zhiwu Lu, Yuxin Peng
2012	A*	`conf`	Heterogeneous Constraint Propagation with Constrained Sparse Representation. ICDM Zhiwu Lu, Yuxin Peng
2012	A*	`conf`	Image annotation by semantic sparse recoding of visual content. ACM Multimedia Zhiwu Lu, Yuxin Peng
2012	A*	`conf`	Modalities consensus for multi-modal constraint propagation. ACM Multimedia Zhenyong Fu, Hongtao Lu, Horace Ho-Shing Ip, Zhiwu Lu
2011	J	`jnl`	Automatic Image Annotation Based on Generalized Relevance Models. J. Signal Process. Syst. Zhiwu Lu, Horace Ho-Shing Ip
2011	A*	`conf`	Combining latent semantic learning and reduced hypergraph learning for semi-supervised image categorization. ACM Multimedia Zhiwu Lu, Yuxin Peng
2011	J	`jnl`	Combining multiple clusterings using fast simulated annealing. Pattern Recognit. Lett. Zhiwu Lu, Yuxin Peng, Horace Ho-Shing Ip
2011	J	`jnl`	Contextual Kernel and Spectral Methods for Learning the Semantics of Images. IEEE Trans. Image Process. Zhiwu Lu, Horace Ho-Shing Ip, Yuxin Peng
2011	J	`jnl`	Exhaustive and Efficient Constraint Propagation: A Semi-Supervised Learning Perspective and Its Applications CoRR Zhiwu Lu, Horace Ho-Shing Ip, Yuxin Peng
2011	A*	`conf`	Latent Semantic Learning by Efficient Sparse Coding with Hypergraph Regularization. AAAI Zhiwu Lu, Yuxin Peng
2011	J	`jnl`	Latent Semantic Learning with Structured Sparse Representation for Human Action Recognition CoRR Zhiwu Lu, Yuxin Peng
2011	A*	`conf`	Multi-modal constraint propagation for heterogeneous image clustering. ACM Multimedia Zhenyong Fu, Horace Ho-Shing Ip, Hongtao Lu, Zhiwu Lu
2011	J	`jnl`	Robust Image Analysis by L1-Norm Semi-supervised Learning CoRR Zhiwu Lu, Yuxin Peng
2011	J	`jnl`	Spatial Markov Kernels for Image Categorization and Annotation. IEEE Trans. Syst. Man Cybern. Part B Zhiwu Lu, Horace Ho-Shing Ip
2011	A*	`conf`	Spectral learning of latent semantics for action recognition. ICCV Zhiwu Lu, Yuxin Peng, Horace Ho-Shing Ip
2011	A*	`conf`	Symmetric Graph Regularized Constraint Propagation. AAAI Zhenyong Fu, Zhiwu Lu, Horace Ho-Shing Ip, Yuxin Peng, Hongtao Lu
2010	—	`conf`	Action Recognition Based on Learnt Motion Semantic Vocabulary. PCM (1) Qiong Zhao, Zhiwu Lu, Horace Ho-Shing Ip
2010	J	`jnl`	Combining Context, Consistency, and Diversity Cues for Interactive Image Categorization. IEEE Trans. Multim. Zhiwu Lu, Horace Ho-Shing Ip
2010	—	`conf`	Constrained Spectral Clustering via Exhaustive and Efficient Constraint Propagation. ECCV (6) Zhiwu Lu, Horace Ho-Shing Ip
2010	J	`jnl`	Gaussian mixture learning via robust competitive agglomeration. Pattern Recognit. Lett. Zhiwu Lu, Yuxin Peng, Horace Ho-Shing Ip
2010	J	`jnl`	Image categorization via robust pLSA. Pattern Recognit. Lett. Zhiwu Lu, Yuxin Peng, Horace Ho-Shing Ip
2009	—	`conf`	Context-based multi-label image annotation. CIVR Zhiwu Lu, Horace Ho-Shing Ip, Qizhen He
2009	J	`jnl`	Generalized Competitive Learning of Gaussian Mixture Models. IEEE Trans. Syst. Man Cybern. Part B Zhiwu Lu, Horace Ho-Shing Ip
2009	—	`conf`	Generalized Relevance Models for Automatic Image Annotation. PCM Zhiwu Lu, Horace Ho-Shing Ip
2009	C	`conf`	Image Categorization Based on a Hierarchical Spatial Markov Model. CAIP Lihua Wang, Zhiwu Lu, Horace Ho-Shing Ip
2009	A*	`conf`	Image categorization by learning with context and consistency. CVPR Zhiwu Lu, Horace Ho-Shing Ip
2009	A*	`conf`	Image categorization with spatial mismatch kernels. CVPR Zhiwu Lu, Horace Ho-Shing Ip
2009	A*	`conf`	Semantic concept annotation based on audio PLSA model. ACM Multimedia Yuxin Peng, Zhiwu Lu, Jianguo Xiao
2009	—	`conf`	View topics: automatically generated characteristic view for content-based 3D object retrieval. CIVR Qizhen He, Zhiwu Lu, Horace Ho-Shing Ip
2008	J	`jnl`	A Semi-supervised Learning Algorithm on Gaussian Mixture with Automatic Model Selection. Neural Process. Lett. Zhiwu Lu, Yuxin Peng
2008	A*	`conf`	From Comparing Clusterings to Combining Clusterings. AAAI Zhiwu Lu, Yuxin Peng, Jianguo Xiao
2008	A*	`conf`	Unsupervised learning of finite mixtures using entropy regularization and its application to image segmentation. CVPR Zhiwu Lu, Yuxin Peng, Jianguo Xiao
2007	—	`conf`	Asymptotic Convergence Properties of Entropy Regularized Likelihood Learning on Finite Mixtures with Automatic Model Selection. ISNN (1) Zhiwu Lu, Xiaoqing Lu, Zhiyuan Ye
2007	B	`conf`	Entropy Regularization, Automatic Model Selection, and Unsupervised Image Segmentation. PAKDD Zhiwu Lu, Xiaoqing Lu, Zhiyuan Ye
2007	J	`jnl`	Entropy Regularized Likelihood Learning on Gaussian Mixture: Two Gradient Implementations for Automatic Model Selection. Neural Process. Lett. Zhiwu Lu
2007	—	`conf`	Unsupervised Image Categorization Using Constrained Entropy-Regularized Likelihood Learning with Pairwise Constraints. ISNN (1) Zhiwu Lu, Xiaoqing Lu, Zhiyuan Ye
2006	—	`conf`	A Generalized Competitive Learning Algorithm on Gaussian Mixture with Automatic Model Selection. RSKT Zhiwu Lu, Xiaoqing Lu
2006	—	`conf`	A Gradient Entropy Regularized Likelihood Learning Algorithm on Gaussian Mixture with Automatic Model Selection. ISNN (1) Zhiwu Lu, Jinwen Ma
2006	—	`conf`	A Publishing Framework for Digitally Augmented Paper Documents: Towards Cross-Media Information Integration. PCM Xiaoqing Lu, Zhiwu Lu
2006	—	`conf`	A Regularized Minimum Cross-Entropy Algorithm on Mixtures of Experts for Time Series Prediction. ISNN (2) Zhiwu Lu
2006	J	`jnl`	A regularized minimum cross-entropy algorithm on mixtures of experts for time series prediction and curve detection. Pattern Recognit. Lett. Zhiwu Lu
2006	J	`jnl`	An iterative algorithm for entropy regularized likelihood learning on Gaussian mixture with automatic model selection. Neurocomputing Zhiwu Lu
2006	—	`conf`	Unsupervised Image Segmentation Using an Iterative Entropy Regularized Likelihood Learning Algorithm. ISNN (2) Zhiwu Lu
2005	C	`conf`	A Gradient BYY Harmony Learning Algorithm on Mixture of Experts for Curve Detection. IDEAL Zhiwu Lu, QianSheng Cheng, Jinwen Ma