Liu Liu

Orcid: 0000-0002-8128-2788

Affiliations:

Tencent AI Lab
University of Sydney, Faculty of Engineering and Information Technologies, School of Information Technologies, UBTECH Sydney Artificial Intelligence Centre, Darlington, Australia (former)
University of Technology Sydney, Faculty of Engineering and Information Technology, Centre for Quantum Computation and Intelligent Systems, Sydney, Australia (former)

According to our database¹, Liu Liu authored at least 62 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2024

Modality-Consistent Attention for Visible-Infrared Vehicle Re-Identification.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2024

Cross-modal group-relation optimization for visible-infrared person re-identification.

[BibT_eX]

[DOI]

Neural Networks, 2024

The curse of random quantum data.

[BibT_eX]

[DOI]

CoRR, 2024

Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping.

[BibT_eX]

[DOI]

CoRR, 2024

Pareto Deep Long-Tailed Recognition: A Conflict-Averse Solution.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DFWLayer: Differentiable Frank-Wolfe Optimization Layer.

[BibT_eX]

[DOI]

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023

SIN: Semantic Inference Network for Few-Shot Streaming Label Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Prescribed Safety Performance Imitation Learning From a Single Expert Dataset.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

On exploring node-feature and graph-structure diversities for node drop graph pooling.

[BibT_eX]

[DOI]

Neural Networks, October, 2023

Trust-Region Adaptive Frequency for Online Continual Learning.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., July, 2023

Generalised Watson Distribution on the Hypersphere with Applications to Clustering.

[BibT_eX]

[DOI]

Stephen J. Maybank

Liu Liu

Dacheng Tao

J. Math. Imaging Vis., April, 2023

Stochastically Controlled Compositional Gradient for Composition Problems.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., February, 2023

On the Guaranteed Almost Equivalence Between Imitation Learning From Observation and Demonstration.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., February, 2023

The Visual Footsteps Planning System for Exoskeleton Robots Under Complex Terrain.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2023

Language-Based Image Manipulation Built on Language-Guided Ranking.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

InDecGAN: Learning to Generate Complex Images From Captions via Independent Object-Level Decomposition and Enhancement.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Mixer-Based Semantic Spread for Few-Shot Learning.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Dynamics Adapted Imitation Learning.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Attribute-Image Person Re-identification via Modal-Consistent Metric Learning.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2023

Stochastic Optimization for Non-convex Problem with Inexact Hessian Matrix, Gradient, and Function.

[BibT_eX]

[DOI]

CoRR, 2023

Differentiable Frank-Wolfe Optimization Layer.

[BibT_eX]

[DOI]

CoRR, 2023

Reweighted Mixup for Subpopulation Shift.

[BibT_eX]

[DOI]

CoRR, 2023

Deploying Offline Reinforcement Learning with Human Feedback.

[BibT_eX]

[DOI]

CoRR, 2023

BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Reject Decoding via Language-Vision Models for Text-to-Image Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Imposing Semantic Consistency of Local Descriptors for Few-Shot Learning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Variance Reduced Methods for Non-Convex Composition Optimization.

[BibT_eX]

[DOI]

Liu Liu

Ji Liu

Dacheng Tao

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation.

[BibT_eX]

[DOI]

CoRR, 2022

Exploring High-Order Structure for Robust Graph Structure Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Gaussian initializations help deep variational quantum circuits escape from the barren plateau.

[BibT_eX]

[DOI]

CoRR, 2022

Robust Imitation Learning from Corrupted Demonstrations.

[BibT_eX]

[DOI]

CoRR, 2022

Dual-branch Density Ratio Estimation for Signed Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Online Continual Learning with Contrastive Vision Transformer.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Balancing Stability and Plasticity Through Advanced Null Space in Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Text-to-Image Synthesis based on Object-Guided Joint-Decoding Transformer.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Continual Learning with Lifelong Vision Transformer.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Channelized Axial Attention - considering Channel Relation within Spatial Attention for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Continual Learning through Retrieval and Imagination.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Solving Jigsaw Puzzles via Nonconvex Quadratic Programming With the Projected Power Method.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2021

SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2021

CAA : Channelized Axial Attention for Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

A spatial structural similarity triplet loss for auxiliary vehicle re-identification.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2021

Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adaptive Curriculum Learning.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Multi-label Few-shot Learning with Semantic Inference (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Deep Streaming Label Learning.

[BibT_eX]

[DOI]

Zhen Wang

Liu Liu

Dacheng Tao

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Dualityfree Methods for Stochastic Composition Optimization.

[BibT_eX]

[DOI]

Liu Liu

Ji Liu

Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., 2019

The Double-Accelerated Stochastic Method for Regularized Empirical Risk Minimization.

[BibT_eX]

[DOI]

Liu Liu

Dacheng Tao

IEEE Trans. Emerg. Top. Comput. Intell., 2019

Quantum algorithm for finding the negative curvature direction in non-convex optimization.

[BibT_eX]

[DOI]

CoRR, 2019

2018

GoDec+: Fast and Robust Low-Rank Matrix Decomposition Based on Maximum Correntropy.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Stochastic Second-order Methods for Non-convex Optimization with Inexact Hessian and Gradient.

[BibT_eX]

[DOI]

CoRR, 2018

Stochastically Controlled Stochastic Gradient for the Convex and Non-convex Composition problem.

[BibT_eX]

[DOI]

CoRR, 2018

Stochastic Zeroth-order Optimization via Variance Reduction method.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Label Propagation via Teaching-to-Learn and Learning-to-Teach.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2017

Diversified dictionaries for multi-instance learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

Duality-free Methods for Stochastic Composition Optimization.

[BibT_eX]

[DOI]

Liu Liu

Ji Liu

Dacheng Tao

CoRR, 2017

2016

Sublinear Dual Coordinate Ascent for Regularized Loss Minimization.

[BibT_eX]

[DOI]

Liu Liu

Dacheng Tao

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Liu Liu

Timeline

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