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ORCIDLiu Liu 0014
Person information
- affiliation: University of Sydney, Faculty of Engineering and Information Technologies, School of Information Technologies, UBTECH Sydney Artificial Intelligence Centre, Darlington, Australia
- affiliation: University of Technology Sydney, Faculty of Engineering and Information Technology, Centre for Quantum Computation and Intelligent Systems, Sydney, Australia
Other persons with the same name
- Liu Liu — disambiguation page
- Liu Liu 0001
![[0000-0002-7142-7621]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-7142-7621")
— Beijing Jiaotong University, Institute of Broadband Wireless Mobile Communications, China - Liu Liu 0002 — Sichuan Normal University, Chengdu, China
- Liu Liu 0003 — Dalian University of Technology, School of Mathematical Sciences, China
- Liu Liu 0004 — National University of Defense Technology, College of Computer, Changsha, China
- Liu Liu 0005 — Tsinghua University, Department of Computer and Technology, Beijing, China
- Liu Liu 0006 — Fudan University, School of Computer Science, Shanghai, China
- Liu Liu 0007 — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- Liu Liu 0008 — Swinburne University of Technology, School of Software and Electrical Engineering, Hawthorn, VIC, Australia
- Liu Liu 0009 — Northwestern Polytechnical University, School of Automation, Xi'an, China
- Liu Liu 0010 — Tongji University, College of Surveying and Geo-Informatics, Shanghai, China (and 1 more)
- Liu Liu 0011 — Nanjing University of Posts and Telecommunications, China
- Liu Liu 0012 — University of Science and Technology of China, Department of Automation, Hefei, China (and 1 more)
- Liu Liu 0013 — China Agricultural University, College of Water Resources and Civil Engineering, Center for Agricultural Water Research in China, Beijing, China
- Liu Liu 0015 — Rutgers University, NJ, USA
- Liu Liu 0016 — DOCOMO Beijing Communications Laboratories Co., Ltd, Beijing, China
- Liu Liu 0017 — University of California, Santa Barbara, CA, USA
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2020 – today
- 2023
[j21]Yajing Kong, Liu Liu, Maoying Qiao, Zhen Wang, Dacheng Tao:
Trust-Region Adaptive Frequency for Online Continual Learning. Int. J. Comput. Vis. 131(7): 1825-1839 (2023)- [j20]Jianqing Zhu, Liu Liu, Yibing Zhan, Xiaobin Zhu, Huanqiang Zeng, Dacheng Tao:
Attribute-Image Person Re-identification via Modal-Consistent Metric Learning. Int. J. Comput. Vis. 131(11): 2959-2976 (2023) - [j19]Stephen J. Maybank, Liu Liu, Dacheng Tao:
Generalised Watson Distribution on the Hypersphere with Applications to Clustering. J. Math. Imaging Vis. 65(2): 302-322 (2023) - [j18]Chuang Liu, Yibing Zhan, Baosheng Yu, Liu Liu, Bo Du, Wenbin Hu, Tongliang Liu:
On exploring node-feature and graph-structure diversities for node drop graph pooling. Neural Networks 167: 559-571 (2023) - [j17]Zhihao Cheng, Li Shen, Miaoxi Zhu, Jiaxian Guo, Meng Fang, Liu Liu, Bo Du, Dacheng Tao:
Prescribed Safety Performance Imitation Learning From a Single Expert Dataset. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12236-12249 (2023) - [j16]Jun Cheng, Fusheng Hao, Fengxiang He, Liu Liu, Qieshi Zhang:
Mixer-Based Semantic Spread for Few-Shot Learning. IEEE Trans. Multim. 25: 191-202 (2023) - [j15]Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Jun Cheng:
Language-Based Image Manipulation Built on Language-Guided Ranking. IEEE Trans. Multim. 25: 6219-6231 (2023) - [j14]Jun Cheng, Fuxiang Wu, Liu Liu, Qieshi Zhang, Leszek Rutkowski, Dacheng Tao:
InDecGAN: Learning to Generate Complex Images From Captions via Independent Object-Level Decomposition and Enhancement. IEEE Trans. Multim. 25: 8279-8293 (2023) - [j13]Liu Liu, Ji Liu, Cho-Jui Hsieh, Dacheng Tao:
Stochastically Controlled Compositional Gradient for Composition Problems. IEEE Trans. Neural Networks Learn. Syst. 34(2): 611-622 (2023) - [j12]Zhihao Cheng, Liu Liu, Aishan Liu, Hao Sun, Meng Fang, Dacheng Tao:
On the Guaranteed Almost Equivalence Between Imitation Learning From Observation and Demonstration. IEEE Trans. Neural Networks Learn. Syst. 34(2): 677-689 (2023) - [j11]Zhen Wang, Liu Liu, Yiqun Duan, Dacheng Tao:
SIN: Semantic Inference Network for Few-Shot Streaming Label Learning. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9952-9965 (2023) - [j10]Xinyu Wu, Jinke Li, Liu Liu, Dacheng Tao:
The Visual Footsteps Planning System for Exoskeleton Robots Under Complex Terrain. IEEE Trans. Syst. Man Cybern. Syst. 53(8): 5149-5160 (2023) - [c15]Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Lei Wang, Jun Cheng:
Reject Decoding via Language-Vision Models for Text-to-Image Synthesis. AAAI 2023: 2785-2794 - [c14]Fusheng Hao, Fengxiang He, Liu Liu, Fuxiang Wu, Dacheng Tao, Jun Cheng:
Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification. ICCV 2023: 18859-18869 - [i15]Chuang Liu, Yibing Zhan, Baosheng Yu, Liu Liu, Bo Du, Wenbin Hu, Tongliang Liu:
On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling. CoRR abs/2306.12726 (2023) - [i14]Liu Liu, Xuanqing Liu, Cho-Jui Hsieh, Dacheng Tao:
Stochastic Optimization for Non-convex Problem with Inexact Hessian Matrix, Gradient, and Function. CoRR abs/2310.11866 (2023) - 2022
- [j9]Liu Liu, Ji Liu, Dacheng Tao:
Variance Reduced Methods for Non-Convex Composition Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5813-5825 (2022) - [j8]Jun Cheng, Fusheng Hao, Liu Liu, Dacheng Tao:
Imposing Semantic Consistency of Local Descriptors for Few-Shot Learning. IEEE Trans. Image Process. 31: 1587-1600 (2022) - [c13]Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du:
Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation. AAAI 2022: 212-220 - [c12]Zhen Wang, Liu Liu, Yiqun Duan, Dacheng Tao:
Continual Learning through Retrieval and Imagination. AAAI 2022: 8594-8602 - [c11]Zhen Wang, Liu Liu, Yiqun Duan, Yajing Kong, Dacheng Tao:
Continual Learning with Lifelong Vision Transformer. CVPR 2022: 171-181 - [c10]Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Jun Cheng:
Text-to-Image Synthesis based on Object-Guided Joint-Decoding Transformer. CVPR 2022: 18092-18101 - [c9]Yajing Kong, Liu Liu, Zhen Wang, Dacheng Tao:
Balancing Stability and Plasticity Through Advanced Null Space in Continual Learning. ECCV (26) 2022: 219-236 - [c8]Zhen Wang, Liu Liu, Yajing Kong, Jiaxian Guo, Dacheng Tao:
Online Continual Learning with Contrastive Vision Transformer. ECCV (20) 2022: 631-650 - [c7]Kaining Zhang, Liu Liu, Min-Hsiu Hsieh, Dacheng Tao:
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits. NeurIPS 2022 - [c6]Pinghua Xu, Yibing Zhan, Liu Liu, Baosheng Yu, Bo Du, Jia Wu, Wenbin Hu:
Dual-branch Density Ratio Estimation for Signed Network Embedding. WWW 2022: 1651-1662 - [i13]Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du:
Resistance Training using Prior Bias: toward Unbiased Scene Graph Generation. CoRR abs/2201.06794 (2022) - [i12]Kaining Zhang, Min-Hsiu Hsieh, Liu Liu, Dacheng Tao:
Gaussian initializations help deep variational quantum circuits escape from the barren plateau. CoRR abs/2203.09376 (2022) - [i11]Guangqian Yang, Yibing Zhan, Jinlong Li, Baosheng Yu, Liu Liu, Fengxiang He:
Exploring High-Order Structure for Robust Graph Structure Learning. CoRR abs/2203.11492 (2022) - [i10]Yajing Kong, Liu Liu, Zhen Wang, Dacheng Tao:
Balancing Stability and Plasticity through Advanced Null Space in Continual Learning. CoRR abs/2207.12061 (2022) - [i9]Zhen Wang, Liu Liu, Yajing Kong, Jiaxian Guo, Dacheng Tao:
Online Continual Learning with Contrastive Vision Transformer. CoRR abs/2207.13516 (2022) - 2021
- [j7]Jianqing Zhu, Liu Liu, Xiaobin Zhu, Huanqiang Zeng:
A spatial structural similarity triplet loss for auxiliary vehicle re-identification. Sci. China Inf. Sci. 64(7) (2021) - [j6]Fang Yan, Yuanjie Zheng, Jinyu Cong, Liu Liu, Dacheng Tao, Sujuan Hou:
Solving Jigsaw Puzzles via Nonconvex Quadratic Programming With the Projected Power Method. IEEE Trans. Multim. 23: 2310-2320 (2021) - [c5]Zhen Wang, Yiqun Duan, Liu Liu, Dacheng Tao:
Multi-label Few-shot Learning with Semantic Inference (Student Abstract). AAAI 2021: 15917-15918 - [c4]Yajing Kong, Liu Liu, Jun Wang, Dacheng Tao:
Adaptive Curriculum Learning. ICCV 2021: 5047-5056 - [c3]Sheng Wan, Yibing Zhan, Liu Liu, Baosheng Yu, Shirui Pan, Chen Gong:
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels. NeurIPS 2021: 6316-6327 - [i8]Ye Huang, Wenjing Jia, Xiangjian He, Liu Liu, Yuxin Li, Dacheng Tao:
CAA : Channelized Axial Attention for Semantic Segmentation. CoRR abs/2101.07434 (2021) - [i7]Weigang Lu, Yibing Zhan, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao:
SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks. CoRR abs/2112.11628 (2021) - 2020
- [c2]Zhen Wang, Liu Liu, Dacheng Tao:
Deep Streaming Label Learning. ICML 2020: 9963-9972 - [i6]Zhihao Cheng, Liu Liu, Aishan Liu, Hao Sun, Meng Fang, Dacheng Tao:
On the Guaranteed Almost Equivalence between Imitation Learning from Observation and Demonstration. CoRR abs/2010.08353 (2020)
2010 – 2019
- 2019
- [j5]Liu Liu, Dacheng Tao:
The Double-Accelerated Stochastic Method for Regularized Empirical Risk Minimization. IEEE Trans. Emerg. Top. Comput. Intell. 3(6): 440-451 (2019) - [j4]Liu Liu, Ji Liu, Dacheng Tao:
Dualityfree Methods for Stochastic Composition Optimization. IEEE Trans. Neural Networks Learn. Syst. 30(4): 1205-1217 (2019) - [i5]Kaining Zhang, Min-Hsiu Hsieh, Liu Liu, Dacheng Tao:
Quantum algorithm for finding the negative curvature direction in non-convex optimization. CoRR abs/1909.07622 (2019) - 2018
- [j3]Kailing Guo, Liu Liu, Xiangmin Xu, Dong Xu, Dacheng Tao:
GoDec+: Fast and Robust Low-Rank Matrix Decomposition Based on Maximum Correntropy. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2323-2336 (2018) - [i4]Liu Liu, Minhao Cheng, Cho-Jui Hsieh, Dacheng Tao:
Stochastic Zeroth-order Optimization via Variance Reduction method. CoRR abs/1805.11811 (2018) - [i3]Liu Liu, Ji Liu, Cho-Jui Hsieh, Dacheng Tao:
Stochastically Controlled Stochastic Gradient for the Convex and Non-convex Composition problem. CoRR abs/1809.02505 (2018) - [i2]Liu Liu, Xuanqing Liu, Cho-Jui Hsieh, Dacheng Tao:
Stochastic Second-order Methods for Non-convex Optimization with Inexact Hessian and Gradient. CoRR abs/1809.09853 (2018) - 2017
- [j2]Maoying Qiao, Liu Liu, Jun Yu, Chang Xu, Dacheng Tao:
Diversified dictionaries for multi-instance learning. Pattern Recognit. 64: 407-416 (2017) - [j1]Chen Gong, Dacheng Tao, Wei Liu, Liu Liu, Jie Yang:
Label Propagation via Teaching-to-Learn and Learning-to-Teach. IEEE Trans. Neural Networks Learn. Syst. 28(6): 1452-1465 (2017) - [i1]Liu Liu, Ji Liu, Dacheng Tao:
Duality-free Methods for Stochastic Composition Optimization. CoRR abs/1710.09554 (2017) - 2016
- [c1]Liu Liu, Dacheng Tao:
Sublinear Dual Coordinate Ascent for Regularized Loss Minimization. ICDM 2016: 1065-1070
Coauthor Index
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