Haifeng Liu - RankMe

75 papers A* 27A 1Journal 41Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decouple Searching from Training: Scaling Data Mixing via Model Merging for Large Language Model Pre-training. CoRR Shengrui Li, Fei Zhao, Kaiyan Zhao, Jieying Ye, Haifeng Liu, Fangcheng Shi, Zheyong Xie, Yao Hu, Shaosheng Cao
2026	J	`jnl`	LEViT: Locally Enhanced Vision Transformer for Efficient Object Re-Identification. IEEE Trans. Multim. Shenqi Lai, Yuhui Wang, Mingyuan Fan, Junshi Huang, Haifeng Liu, Deng Cai, Xueming Qian, Yaxiong Wang
2025	—	`conf`	Balance Discriminability and Integrality for Robust Salient Object Detection. ICANN (2) Senbo Yan, Chuer Yu, Haifeng Liu, Deng Cai
2025	A*	`conf`	Depth Any Video with Scalable Synthetic Data. ICLR Honghui Yang, Di Huang, Wei Yin, Chunhua Shen, Haifeng Liu, Xiaofei He, Binbin Lin, Wanli Ouyang, Tong He
2025	A	`conf`	Towards Label-Free 3D Visual Grounding with Vision Foundation Models. IROS Xiaopei Wu, Yuenan Hou, Binbin Lin, Xinge Zhu, Yuexin Ma, Haifeng Liu, Deng Cai, Xiao Sun
2024	J	`jnl`	Depth Any Video with Scalable Synthetic Data. CoRR Honghui Yang, Di Huang, Wei Yin, Chunhua Shen, Haifeng Liu, Xiaofei He, Binbin Lin, Wanli Ouyang, Tong He
2024	A*	`conf`	Semi-supervised 3D Object Detection with PatchTeacher and PillarMix. AAAI Xiaopei Wu, Liang Peng, Liang Xie, Yuenan Hou, Binbin Lin, Xiaoshui Huang, Haifeng Liu, Deng Cai, Wanli Ouyang
2024	J	`jnl`	Semi-supervised 3D Object Detection with PatchTeacher and PillarMix. CoRR Xiaopei Wu, Liang Peng, Liang Xie, Yuenan Hou, Binbin Lin, Xiaoshui Huang, Haifeng Liu, Deng Cai, Wanli Ouyang
2024	A*	`conf`	TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation. CVPR Xiaopei Wu, Yuenan Hou, Xiaoshui Huang, Binbin Lin, Tong He, Xinge Zhu, Yuexin Ma, Boxi Wu, Haifeng Liu, Deng Cai, Wanli Ouyang
2024	J	`jnl`	TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation. CoRR Xiaopei Wu, Yuenan Hou, Xiaoshui Huang, Binbin Lin, Tong He, Xinge Zhu, Yuexin Ma, Boxi Wu, Haifeng Liu, Deng Cai, Wanli Ouyang
2024	A*	`conf`	TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training. AAAI Yuqi Lin, Minghao Chen, Kaipeng Zhang, Hengjia Li, Mingming Li, Zheng Yang, Dongqin Lv, Binbin Lin, Haifeng Liu, Deng Cai
2023	A*	`conf`	CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation. CVPR Yuqi Lin, Minghao Chen, Wenxiao Wang, Boxi Wu, Ke Li, Binbin Lin, Haifeng Liu, Xiaofei He
2023	J	`jnl`	TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without Training. CoRR Yuqi Lin, Minghao Chen, Kaipeng Zhang, Hengjia Li, Mingming Li, Zheng Yang, Dongqin Lv, Binbin Lin, Haifeng Liu, Deng Cai
2022	J	`jnl`	Boosting Semi-Supervised 3D Object Detection with Semi-Sampling. CoRR Xiaopei Wu, Yang Zhao, Liang Peng, Hua Chen, Xiaoshui Huang, Binbin Lin, Haifeng Liu, Deng Cai, Wanli Ouyang
2022	J	`jnl`	CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation. CoRR Yuqi Lin, Minghao Chen, Wenxiao Wang, Boxi Wu, Ke Li, Binbin Lin, Haifeng Liu, Xiaofei He
2022	—	`conf`	DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection. ECCV (1) Liang Peng, Xiaopei Wu, Zheng Yang, Haifeng Liu, Deng Cai
2022	J	`jnl`	DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection. CoRR Liang Peng, Xiaopei Wu, Zheng Yang, Haifeng Liu, Deng Cai
2022	A*	`conf`	Domain Reconstruction and Resampling for Robust Salient Object Detection. ACM Multimedia Senbo Yan, Liang Peng, Chuer Yu, Zheng Yang, Haifeng Liu, Deng Cai
2022	—	`conf`	Lidar Point Cloud Guided Monocular 3D Object Detection. ECCV (1) Liang Peng, Fei Liu, Zhengxu Yu, Senbo Yan, Dan Deng, Zheng Yang, Haifeng Liu, Deng Cai
2022	J	`jnl`	PointCSE: Context-sensitive encoders for efficient 3D object detection from point cloud. Int. J. Mach. Learn. Cybern. Kuoliang Wu, Guodong Xu, Zili Liu, Haifeng Liu, Deng Cai, Xiaofei He
2022	A*	`conf`	Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion. CVPR Xiaopei Wu, Liang Peng, Honghui Yang, Liang Xie, Chenxi Huang, Chengqi Deng, Haifeng Liu, Deng Cai
2022	J	`jnl`	Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion. CoRR Xiaopei Wu, Liang Peng, Honghui Yang, Liang Xie, Chenxi Huang, Chengqi Deng, Haifeng Liu, Deng Cai
2021	A*	`conf`	Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework. ICML Wenxiao Wang, Minghao Chen, Shuai Zhao, Long Chen, Jinming Hu, Haifeng Liu, Deng Cai, Xiaofei He, Wei Liu
2021	J	`jnl`	Complementary Pseudo Labels For Unsupervised Domain Adaptation On Person Re-identification. CoRR Hao Feng, Minghao Chen, Jinming Hu, Dong Shen, Haifeng Liu, Deng Cai
2021	J	`jnl`	Complementary Pseudo Labels for Unsupervised Domain Adaptation On Person Re-Identification. IEEE Trans. Image Process. Hao Feng, Minghao Chen, Jinming Hu, Dong Shen, Haifeng Liu, Deng Cai
2021	J	`jnl`	Lidar Point Cloud Guided Monocular 3D Object Detection. CoRR Liang Peng, Fei Liu, Zhengxu Yu, Senbo Yan, Dan Deng, Zheng Yang, Haifeng Liu, Deng Cai
2021	A*	`conf`	RESA: Recurrent Feature-Shift Aggregator for Lane Detection. AAAI Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang, Haifeng Liu, Deng Cai
2021	J	`jnl`	SparsePoint: Fully End-to-End Sparse 3D Object Detector. CoRR Zili Liu, Guodong Xu, Honghui Yang, Haifeng Liu, Deng Cai
2021	J	`jnl`	TTFNeXt for real-time object detection. Neurocomputing Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai
2020	J	`jnl`	Accelerate Your CNN from Three Dimensions: A Comprehensive Pruning Framework. CoRR Wenxiao Wang, Minghao Chen, Shuai Zhao, Jinming Hu, Boxi Wu, Zhengxu Yu, Deng Cai, Haifeng Liu
2020	J	`jnl`	Addressing the Item Cold-Start Problem by Attribute-Driven Active Learning. IEEE Trans. Knowl. Data Eng. Yu Zhu, Jinghao Lin, Shibi He, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai
2020	A*	`conf`	Adversarial-Learned Loss for Domain Adaptation. AAAI Minghao Chen, Shuai Zhao, Haifeng Liu, Deng Cai
2020	J	`jnl`	Adversarial-Learned Loss for Domain Adaptation. CoRR Minghao Chen, Shuai Zhao, Haifeng Liu, Deng Cai
2020	J	`jnl`	Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds. CoRR Guodong Xu, Wenxiao Wang, Zili Liu, Liang Xie, Zheng Yang, Haifeng Liu, Deng Cai
2020	J	`jnl`	RESA: Recurrent Feature-Shift Aggregator for Lane Detection. CoRR Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang, Haifeng Liu, Deng Cai
2020	A*	`conf`	Training-Time-Friendly Network for Real-Time Object Detection. AAAI Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai
2019	J	`jnl`	DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration. CoRR Wenxiao Wang, Shuai Zhao, Minghao Chen, Jinming Hu, Deng Cai, Haifeng Liu
2019	J	`jnl`	On the Diversity of Conditional Image Synthesis With Semantic Layouts. IEEE Trans. Image Process. Zichen Yang, Haifeng Liu, Deng Cai
2019	J	`jnl`	Training-Time-Friendly Network for Real-Time Object Detection. CoRR Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai
2018	J	`jnl`	Addressing the Item Cold-start Problem by Attribute-driven Active Learning. CoRR Yu Zhu, Jinhao Lin, Shibi He, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai
2018	J	`jnl`	Deep Rotation Equivariant Network. Neurocomputing Junying Li, Zichen Yang, Haifeng Liu, Deng Cai
2018	A*	`conf`	PixelLink: Detecting Scene Text via Instance Segmentation. AAAI Dan Deng, Haifeng Liu, Xuelong Li, Deng Cai
2018	J	`jnl`	PixelLink: Detecting Scene Text via Instance Segmentation. CoRR Dan Deng, Haifeng Liu, Xuelong Li, Deng Cai
2017	J	`jnl`	Deep Rotation Equivariant Network. CoRR Junying Li, Zichen Yang, Haifeng Liu, Deng Cai
2017	J	`jnl`	On the Diversity of Realistic Image Synthesis. CoRR Zichen Yang, Haifeng Liu, Deng Cai
2017	A*	`conf`	User Personalized Satisfaction Prediction via Multiple Instance Deep Learning. WWW Zheqian Chen, Ben Gao, Huimin Zhang, Zhou Zhao, Haifeng Liu, Deng Cai
2017	A*	`conf`	What to Do Next: Modeling User Behaviors by Time-LSTM. IJCAI Yu Zhu, Hao Li, Yikang Liao, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai
2016	J	`jnl`	A-Optimal Non-negative Projection with Hessian regularization. Neurocomputing Zheng Yang, Haifeng Liu, Deng Cai, Zhaohui Wu
2016	J	`jnl`	Atom Decomposition Based Subgradient Descent for matrix classification. Neurocomputing Wenqing Chu, Yao Hu, Chen Zhao, Haifeng Liu, Deng Cai
2016	J	`jnl`	Heterogeneous hypergraph embedding for document recommendation. Neurocomputing Yu Zhu, Ziyu Guan, Shulong Tan, Haifeng Liu, Deng Cai, Xiaofei He
2014	J	`jnl`	Active learning on manifolds. Neurocomputing Cheng Li, Haifeng Liu, Deng Cai
2014	J	`jnl`	Constrained Concept Factorization for Image Representation. IEEE Trans. Cybern. Haifeng Liu, Genmao Yang, Zhaohui Wu, Deng Cai
2014	J	`jnl`	Local Coordinate Concept Factorization for Image Representation. IEEE Trans. Neural Networks Learn. Syst. Haifeng Liu, Zheng Yang, Ji Yang, Zhaohui Wu, Xuelong Li
2014	A*	`conf`	Matrix Completion for Cross-view Pairwise Constraint Propagation. ACM Multimedia Zheng Yang, Yao Hu, Haifeng Liu, Huajun Chen, Zhaohui Wu
2014	J	`jnl`	Spatially correlated nonnegative matrix factorization. Neurocomputing Xinlei Chen, Cheng Li, Haifeng Liu, Deng Cai
2012	A*	`conf`	A-Optimal Non-negative Projection for image representation. CVPR Haifeng Liu, Zheng Yang, Zhaohui Wu, Xuelong Li
2012	J	`jnl`	Constrained Nonnegative Matrix Factorization for Image Representation. IEEE Trans. Pattern Anal. Mach. Intell. Haifeng Liu, Zhaohui Wu, Xuelong Li, Deng Cai, Thomas S. Huang
2012	J	`jnl`	Locally discriminative topic modeling. Pattern Recognit. Hao Wu, Jiajun Bu, Chun Chen, Jianke Zhu, Lijun Zhang, Haifeng Liu, Can Wang, Deng Cai
2012	A*	`conf`	Metric learning with two-dimensional smoothness for visual analysis. CVPR Xinlei Chen, Zifei Tong, Haifeng Liu, Deng Cai
2011	A*	`conf`	Locality-Constrained Concept Factorization. IJCAI Haifeng Liu, Zheng Yang, Zhaohui Wu
2011	J	`jnl`	Optimized cluster-based filtering algorithm for graph metadata. Inf. Sci. Haifeng Liu, Zhaohui Wu, Milenko Petrovic, Hans-Arno Jacobsen
2010	—	`—`	Management of Uncertainties in Publish/Subscribe System. Haifeng Liu
2010	A*	`conf`	Non-Negative Matrix Factorization with Constraints. AAAI Haifeng Liu, Zhaohui Wu
2010	—	`conf`	Predictive publish/subscribe matching. DEBS Vinod Muthusamy, Haifeng Liu, Hans-Arno Jacobsen
2005	A*	`conf`	CMS-ToPSS: Efficient Dissemination of RSS Documents. VLDB Milenko Petrovic, Haifeng Liu, Hans-Arno Jacobsen
2005	J	`jnl`	Efficient and scalable filtering of graph-based metadata. J. Web Semant. Haifeng Liu, Milenko Petrovic, Hans-Arno Jacobsen
2005	A*	`conf`	G-ToPSS: fast filtering of graph-based metadata. WWW Milenko Petrovic, Haifeng Liu, Hans-Arno Jacobsen
2005	A*	`conf`	Image clustering with tensor representation. ACM Multimedia Xiaofei He, Deng Cai, Haifeng Liu, Jiawei Han
2004	A*	`conf`	A-ToPSS: A Publish/Subscribe System Supporting Imperfect Information Processing. VLDB Haifeng Liu, Hans-Arno Jacobsen
2004	A*	`conf`	Learning block importance models for web pages. WWW Ruihua Song, Haifeng Liu, Ji-Rong Wen, Wei-Ying Ma
2004	J	`jnl`	Learning important models for web page blocks based on layout and content analysis. SIGKDD Explor. Ruihua Song, Haifeng Liu, Ji-Rong Wen, Wei-Ying Ma
2004	A*	`conf`	Locality preserving indexing for document representation. SIGIR Xiaofei He, Deng Cai, Haifeng Liu, Wei-Ying Ma
2004	A*	`conf`	Modeling Uncertainties in Publish/Subscribe Systems. ICDE Haifeng Liu, Hans-Arno Jacobsen
2003	—	`conf`	Approximate matching in publish/ subscribe. CIRA Haifeng Liu, Hans-Arno Jacobsen
2002	A*	`conf`	A-TOPSS - A Publish/Subscribe System Supporting Approximate Matching. VLDB Haifeng Liu, Hans-Arno Jacobsen