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ORCIDLiu Liu 0014
Person information
- affiliation: Tencent AI Lab
- affiliation (former): University of Sydney, Faculty of Engineering and Information Technologies, School of Information Technologies, UBTECH Sydney Artificial Intelligence Centre, Darlington, Australia
- affiliation (former): 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
- Liu Liu 0018 — Massachusetts Institute of Technology, USA
- Liu Liu 0019 — Saarland University, Saarbrücken, Germany
- Liu Liu 0020 — Fujitsu Research and Development Center, Beijing, China
- Liu Liu 0021 — University of Tennessee, Department of Electrical Engineering and Computer Science, Knoxville, TN, USA
- Liu Liu 0022 — Shanghai Jiao Tong University, MoE Key Lab of Artificial Intelligence, China
- Liu Liu 0023 — University of Notre Dame, Department of Computer Science and Engineering, Notre Dame, IN, USA
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2020 – today
- 2026
[j32]Hanyao Wang, Yibing Zhan, Liu Liu, Liang Ding, Yan Yang, Jun Yu:
Towards alleviating hallucination in text-to-image retrieval for CLIP in zero-shot learning. Neurocomputing 671: 132640 (2026)- [j31]Jingyi Zhuang, Baihui Sa, Jinjie Zheng, Liu Liu, Jianqing Zhu, Huanqiang Zeng:
Structure-Aware Alignment for Day-Night Cross-Domain Vehicle Re-Identification. IEEE Signal Process. Lett. 33: 634-638 (2026) - 2025
- [j30]Hanxiao Wu, Yutao Chen, Yi Xie, Jianqing Zhu, Liu Liu, Huanqiang Zeng:
Memory-augmented shuffled meta learning for visible-infrared person re-identification. Neural Networks 191: 107812 (2025) - [j29]Fusheng Hao, Liu Liu, Fuxiang Wu, Qieshi Zhang, Jun Cheng:
Textual Embeddings are Good Class-Aware Visual Prompts for Adapting Vision-Language Models. IEEE Signal Process. Lett. 32: 2992-2996 (2025) - [j28]Liu Liu, Xuanqing Liu, Cho-Jui Hsieh, Dacheng Tao:
Stochastic Optimization for Nonconvex Problem With Inexact Hessian Matrix, Gradient, and Function. IEEE Trans. Neural Networks Learn. Syst. 36(1): 1651-1663 (2025) - [j27]Fusheng Hao, Liu Liu, Fuxiang Wu, Qieshi Zhang, Jun Cheng:
Class-Irrelevant Feature Removal for Few-Shot Image Classification. IEEE Trans. Neural Networks Learn. Syst. 36(5): 9577-9591 (2025) - [c27]Shibo Feng, Peilin Zhao, Liu Liu, Pengcheng Wu, Zhiqi Shen:
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting. AAAI 2025: 746-754 - [c26]Jiatong Li, Bokai Ji, Guangxia Li, Peilin Zhao, Liu Liu, Zhigang Ren:
Thermal-Delay Aware Deep Reinforcement Learning for HVAC System Control. BuildSys 2025: 277-281 - [c25]Jiatong Li, Bokai Ji, Guangxia Li, Peilin Zhao, Liu Liu, Zhigang Ren:
Tackling Non-Stationarity in HVAC Control with TimeGPT-Enhanced Deep Reinforcement Learning. BuildSys 2025: 384-388 - [c24]Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao:
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks (Extended Abstract). ICDE 2025: 4708-4709 - [c23]Chengqian Gao, Haonan Li, Liu Liu, Zeke Xie, Peilin Zhao, Zhiqiang Xu:
Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples. ICML 2025 - [c22]Shoukai Xu, Zihao Lian, Mingkui Tan, Liu Liu, Zhong Zhang, Peilin Zhao:
Test-time Adapted Reinforcement Learning with Action Entropy Regularization. ICML 2025 - [c21]Zhipeng Zhou, Liu Liu, Peilin Zhao, Wei Gong:
Injecting Imbalance Sensitivity for Multi-Task Learning. IJCAI 2025: 7236-7244 - [i37]Shibo Feng, Peilin Zhao, Liu Liu, Pengcheng Wu, Zhiqi Shen:
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting. CoRR abs/2502.08302 (2025) - [i36]Chengqian Gao, Haonan Li, Liu Liu, Zeke Xie, Peilin Zhao, Zhiqiang Xu:
Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples. CoRR abs/2502.09650 (2025) - [i35]Zhipeng Zhou, Liu Liu, Peilin Zhao, Wei Gong:
Injecting Imbalance Sensitivity for Multi-Task Learning. CoRR abs/2503.08006 (2025) - [i34]Yanwei Ren, Haotian Zhang, Fuxiang Wu, Jiayan Qiu, Jiaxing Huang, Baosheng Yu, Liu Liu:
SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation. CoRR abs/2506.06470 (2025) - [i33]Haotian Zhang, Liu Liu, Baosheng Yu, Jiayan Qiu, Yanwei Ren, Xianglong Liu:
LARGO: Low-Rank Regulated Gradient Projection for Robust Parameter Efficient Fine-Tuning. CoRR abs/2506.12394 (2025) - [i32]Chenghao Li, Liu Liu, Baosheng Yu, Jiayan Qiu, Yibing Zhan:
Re-Initialization Token Learning for Tool-Augmented Large Language Models. CoRR abs/2506.14248 (2025) - [i31]Yanwei Ren, Liu Liu, Baosheng Yu, Jiayan Qiu, Quan Chen:
Instruction Learning Paradigms: A Dual Perspective on White-box and Black-box LLMs. CoRR abs/2506.21573 (2025) - [i30]Xuanbo Liu, Liu Liu, Fuxiang Wu, Fusheng Hao, Xianglong Liu:
Gradient-based Fine-Tuning through Pre-trained Model Regularization. CoRR abs/2507.00016 (2025) - [i29]Xiaohan Yi, Guikun Xu, Xi Xiao, Zhong Zhang, Liu Liu, Yatao Bian, Peilin Zhao:
CrystalDiT: A Diffusion Transformer for Crystal Generation. CoRR abs/2508.16614 (2025) - [i28]Haotian Zhang, Liu Liu, Baosheng Yu, Jiayan Qiu, Likang Xiao, Yanwei Ren, Quan Chen, Xianglong Liu:
ContextPRM: Leveraging Contextual Coherence for multi-domain Test-Time Scaling. CoRR abs/2509.24460 (2025) - [i27]Yitong Cui, Liu Liu, Baosheng Yu, Jiayan Qiu, Xikai Zhang, Likang Xiao, Yixing Liu, Quan Chen:
SPOGW: a Score-based Preference Optimization method via Group-Wise comparison for workflows. CoRR abs/2510.04089 (2025) - [i26]Yuxin Pan, Zhiguang Cao, Chengyang Gu, Liu Liu, Peilin Zhao, Yize Chen, Fangzhen Lin:
Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP. CoRR abs/2510.21453 (2025) - [i25]Xiangyang Wu, Liu Liu, Baosheng Yu, Jiayan Qiu, Zhenwei Shi:
Remodeling Semantic Relationships in Vision-Language Fine-Tuning. CoRR abs/2511.08238 (2025) - 2024
- [j26]Jianqing Zhu, Hanxiao Wu, Yutao Chen, Heng Xu, Yuqing Fu, Huanqiang Zeng, Liu Liu, Zhen Lei:
Cross-modal group-relation optimization for visible-infrared person re-identification. Neural Networks 179: 106576 (2024) - [j25]Qianqian Zhao, Jiajun Su, Jianqing Zhu, Liu Liu, Huanqiang Zeng:
Modality-Consistent Attention for Visible-Infrared Vehicle Re-Identification. IEEE Signal Process. Lett. 31: 1910-1914 (2024) - [j24]Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao:
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 36(11): 7030-7043 (2024) - [j23]Yajing Kong, Liu Liu, Huanhuan Chen, Janusz Kacprzyk, Dacheng Tao:
Overcoming Catastrophic Forgetting in Continual Learning by Exploring Eigenvalues of Hessian Matrix. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16196-16210 (2024) - [c20]Zixuan Liu, Liu Liu, Xueqian Wang, Peilin Zhao:
DFWLayer: Differentiable Frank-Wolfe Optimization Layer. Tiny Papers @ ICLR 2024 - [c19]Zhipeng Zhou, Liu Liu, Peilin Zhao, Wei Gong:
Pareto Deep Long-Tailed Recognition: A Conflict-Averse Solution. ICLR 2024 - [i24]Haoyu Wang, Guozheng Ma, Ziqiao Meng, Zeyu Qin, Li Shen, Zhong Zhang, Bingzhe Wu, Liu Liu, Yatao Bian, Tingyang Xu, Xueqian Wang, Peilin Zhao:
Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping. CoRR abs/2402.07610 (2024) - [i23]Hanyao Wang, Yibing Zhan, Liu Liu, Liang Ding, Jun Yu:
Balanced Similarity with Auxiliary Prompts: Towards Alleviating Text-to-Image Retrieval Bias for CLIP in Zero-shot Learning. CoRR abs/2402.18400 (2024) - [i22]Kaining Zhang, Junyu Liu, Liu Liu, Liang Jiang, Min-Hsiu Hsieh, Dacheng Tao:
The curse of random quantum data. CoRR abs/2408.09937 (2024) - 2023
- [j22]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) - [j21]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) - [j20]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) - [j19]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) - [j18]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) - [j17]Zixuan Liu, Liu Liu, Bingzhe Wu, Lanqing Li, Xueqian Wang, Bo Yuan, Peilin Zhao:
Dynamics Adapted Imitation Learning. Trans. Mach. Learn. Res. 2023 (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) - [c18]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 - [c17]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 - [c16]Fu-Yun Wang, Da-Wei Zhou, Liu Liu, Han-Jia Ye, Yatao Bian, De-Chuan Zhan, Peilin Zhao:
BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion. ICLR 2023 - [i21]Ziniu Li, Ke Xu, Liu Liu, Lanqing Li, Deheng Ye, Peilin Zhao:
Deploying Offline Reinforcement Learning with Human Feedback. CoRR abs/2303.07046 (2023) - [i20]Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Qinghua Hu, Bingzhe Wu, Changqing Zhang, Jianhua Yao:
Reweighted Mixup for Subpopulation Shift. CoRR abs/2304.04148 (2023) - [i19]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) - [i18]Zixuan Liu, Liu Liu, Xueqian Wang, Peilin Zhao:
Differentiable Frank-Wolfe Optimization Layer. CoRR abs/2308.10806 (2023) - [i17]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) - [c15]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 - [c14]Ye Huang, Di Kang, Wenjing Jia, Liu Liu, Xiangjian He:
Channelized Axial Attention - considering Channel Relation within Spatial Attention for Semantic Segmentation. AAAI 2022: 1016-1025 - [c13]Zhen Wang, Liu Liu, Yiqun Duan, Dacheng Tao:
Continual Learning through Retrieval and Imagination. AAAI 2022: 8594-8602 - [c12]Zhen Wang, Liu Liu, Yiqun Duan, Yajing Kong, Dacheng Tao:
Continual Learning with Lifelong Vision Transformer. CVPR 2022: 171-181 - [c11]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 - [c10]Yajing Kong, Liu Liu, Zhen Wang, Dacheng Tao:
Balancing Stability and Plasticity Through Advanced Null Space in Continual Learning. ECCV (26) 2022: 219-236 - [c9]Zhen Wang, Liu Liu, Yajing Kong, Jiaxian Guo, Dacheng Tao:
Online Continual Learning with Contrastive Vision Transformer. ECCV (20) 2022: 631-650 - [c8]Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao:
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup. NeurIPS 2022 - [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 - [i16]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) - [i15]Liu Liu, Ziyang Tang, Lanqing Li, Dijun Luo:
Robust Imitation Learning from Corrupted Demonstrations. CoRR abs/2201.12594 (2022) - [i14]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) - [i13]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) - [i12]Yajing Kong, Liu Liu, Zhen Wang, Dacheng Tao:
Balancing Stability and Plasticity through Advanced Null Space in Continual Learning. CoRR abs/2207.12061 (2022) - [i11]Zhen Wang, Liu Liu, Yajing Kong, Jiaxian Guo, Dacheng Tao:
Online Continual Learning with Contrastive Vision Transformer. CoRR abs/2207.13516 (2022) - [i10]Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao:
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup. CoRR abs/2209.08928 (2022) - [i9]Chengqian Gao, Ke Xu, Liu Liu, Deheng Ye, Peilin Zhao, Zhiqiang Xu:
Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation. CoRR abs/2210.10469 (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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