Liu Liu

102 papers A* 24Journal 73Unranked 5
YearRankTypeTitle / Venue / Authors
2026 A* conf
CrystalDiT: Simple Diffusion Transformers for Crystal Generation.
AAAI
Xiaohan Yi, Guikun Xu, Zhong Zhang, Liu Liu, Yatao Bian, Xi Xiao, Peilin Zhao
2026 J jnl
Diffusion-Based Text-Guided Image Generation With Fine-Grained Spatial Object-Attribute Relationships.
IEEE Trans. Circuits Syst. Video Technol.
Fuxiang Wu, Liu Liu, Fusheng Hao, Ziliang Ren, Dacheng Tao, Xinyu Wu, Jun Cheng
2026 J jnl
NoisePO: Efficient Semantic Noise Generation and Ranking for Diffusion-Based Text-to-Image Synthesis.
IEEE Trans. Image Process.
Fuxiang Wu, Liu Liu, Fusheng Hao, Chengqun Song, Dacheng Tao, Jun Cheng
2026 J jnl
Recycling Failures: Salvaging Exploration in RLVR via Fine-Grained Off-Policy Guidance.
CoRR
Yanwei Ren, Haotian Zhang, Likang Xiao, Xikai Zhang, Jiaxing Huang, Jiayan Qiu, Baosheng Yu, Quan Chen, Liu Liu
2026 A* conf
Remodeling Semantic Relationships in Vision-Language Fine-Tuning.
AAAI
Xiangyang Wu, Liu Liu, Baosheng Yu, Jiayan Qiu, Zhenwei Shi
2026 J jnl
Structure-Aware Alignment for Day-Night Cross-Domain Vehicle Re-Identification.
IEEE Signal Process. Lett.
Jingyi Zhuang, Baihui Sa, Jinjie Zheng, Liu Liu, Jianqing Zhu, Huanqiang Zeng
2026 J jnl
Towards alleviating hallucination in text-to-image retrieval for CLIP in zero-shot learning.
Neurocomputing
Hanyao Wang, Yibing Zhan, Liu Liu, Liang Ding, Yan Yang, Jun Yu
2025 J jnl
Class-Irrelevant Feature Removal for Few-Shot Image Classification.
IEEE Trans. Neural Networks Learn. Syst.
Fusheng Hao, Liu Liu, Fuxiang Wu, Qieshi Zhang, Jun Cheng
2025 J jnl
ContextPRM: Leveraging Contextual Coherence for multi-domain Test-Time Scaling.
CoRR
Haotian Zhang, Liu Liu, Baosheng Yu, Jiayan Qiu, Likang Xiao, Yanwei Ren, Quan Chen, Xianglong Liu
2025 J jnl
CrystalDiT: A Diffusion Transformer for Crystal Generation.
CoRR
Xiaohan Yi, Guikun Xu, Xi Xiao, Zhong Zhang, Liu Liu, Yatao Bian, Peilin Zhao
2025 J jnl
Gradient-based Fine-Tuning through Pre-trained Model Regularization.
CoRR
Xuanbo Liu, Liu Liu, Fuxiang Wu, Fusheng Hao, Xianglong Liu
2025 A* conf
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting.
AAAI
Shibo Feng, Peilin Zhao, Liu Liu, Pengcheng Wu, Zhiqi Shen
2025 J jnl
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting.
CoRR
Shibo Feng, Peilin Zhao, Liu Liu, Pengcheng Wu, Zhiqi Shen
2025 J jnl
Harmonizing Metric Discrepancy for Cross-Modal Object Re-Identification.
IEEE Trans. Circuits Syst. Video Technol.
Linhan Huang, Yutao Chen, Liu Liu, Jianqing Zhu, Huanqiang Zeng
2025 A* conf
Injecting Imbalance Sensitivity for Multi-Task Learning.
IJCAI
Zhipeng Zhou, Liu Liu, Peilin Zhao, Wei Gong
2025 J jnl
Injecting Imbalance Sensitivity for Multi-Task Learning.
CoRR
Zhipeng Zhou, Liu Liu, Peilin Zhao, Wei Gong
2025 J jnl
Instruction Learning Paradigms: A Dual Perspective on White-box and Black-box LLMs.
CoRR
Yanwei Ren, Liu Liu, Baosheng Yu, Jiayan Qiu, Quan Chen
2025 J jnl
LARGO: Low-Rank Regulated Gradient Projection for Robust Parameter Efficient Fine-Tuning.
CoRR
Haotian Zhang, Liu Liu, Baosheng Yu, Jiayan Qiu, Yanwei Ren, Xianglong Liu
2025 J jnl
Memory-augmented shuffled meta learning for visible-infrared person re-identification.
Neural Networks
Hanxiao Wu, Yutao Chen, Yi Xie, Jianqing Zhu, Liu Liu, Huanqiang Zeng
2025 J jnl
Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP.
CoRR
Yuxin Pan, Zhiguang Cao, Chengyang Gu, Liu Liu, Peilin Zhao, Yize Chen, Fangzhen Lin
2025 A* conf
Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples.
ICML
Chengqian Gao, Haonan Li, Liu Liu, Zeke Xie, Peilin Zhao, Zhiqiang Xu
2025 J jnl
Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples.
CoRR
Chengqian Gao, Haonan Li, Liu Liu, Zeke Xie, Peilin Zhao, Zhiqiang Xu
2025 J jnl
Re-Initialization Token Learning for Tool-Augmented Large Language Models.
CoRR
Chenghao Li, Liu Liu, Baosheng Yu, Jiayan Qiu, Yibing Zhan
2025 J jnl
Remodeling Semantic Relationships in Vision-Language Fine-Tuning.
CoRR
Xiangyang Wu, Liu Liu, Baosheng Yu, Jiayan Qiu, Zhenwei Shi
2025 J jnl
SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation.
CoRR
Yanwei Ren, Haotian Zhang, Fuxiang Wu, Jiayan Qiu, Jiaxing Huang, Baosheng Yu, Liu Liu
2025 J jnl
SPOGW: a Score-based Preference Optimization method via Group-Wise comparison for workflows.
CoRR
Yitong Cui, Liu Liu, Baosheng Yu, Jiayan Qiu, Xikai Zhang, Likang Xiao, Yixing Liu, Quan Chen
2025 A* conf
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks (Extended Abstract).
ICDE
Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao
2025 J jnl
Stochastic Optimization for Nonconvex Problem With Inexact Hessian Matrix, Gradient, and Function.
IEEE Trans. Neural Networks Learn. Syst.
Liu Liu, Xuanqing Liu, Cho-Jui Hsieh, Dacheng Tao
2025 — conf
Tackling Non-Stationarity in HVAC Control with TimeGPT-Enhanced Deep Reinforcement Learning.
BuildSys
Jiatong Li, Bokai Ji, Guangxia Li, Peilin Zhao, Liu Liu, Zhigang Ren
2025 A* conf
Test-time Adapted Reinforcement Learning with Action Entropy Regularization.
ICML
Shoukai Xu, Zihao Lian, Mingkui Tan, Liu Liu, Zhong Zhang, Peilin Zhao
2025 J jnl
Textual Embeddings are Good Class-Aware Visual Prompts for Adapting Vision-Language Models.
IEEE Signal Process. Lett.
Fusheng Hao, Liu Liu, Fuxiang Wu, Qieshi Zhang, Jun Cheng
2025 — conf
Thermal-Delay Aware Deep Reinforcement Learning for HVAC System Control.
BuildSys
Jiatong Li, Bokai Ji, Guangxia Li, Peilin Zhao, Liu Liu, Zhigang Ren
2024 J jnl
Balanced Similarity with Auxiliary Prompts: Towards Alleviating Text-to-Image Retrieval Bias for CLIP in Zero-shot Learning.
CoRR
Hanyao Wang, Yibing Zhan, Liu Liu, Liang Ding, Jun Yu
2024 J jnl
Cross-modal group-relation optimization for visible-infrared person re-identification.
Neural Networks
Jianqing Zhu, Hanxiao Wu, Yutao Chen, Heng Xu, Yuqing Fu, Huanqiang Zeng, Liu Liu, Zhen Lei
2024 — conf
DFWLayer: Differentiable Frank-Wolfe Optimization Layer.
Tiny Papers @ ICLR
Zixuan Liu, Liu Liu, Xueqian Wang, Peilin Zhao
2024 J jnl
Modality-Consistent Attention for Visible-Infrared Vehicle Re-Identification.
IEEE Signal Process. Lett.
Qianqian Zhao, Jiajun Su, Jianqing Zhu, Liu Liu, Huanqiang Zeng
2024 J jnl
Overcoming Catastrophic Forgetting in Continual Learning by Exploring Eigenvalues of Hessian Matrix.
IEEE Trans. Neural Networks Learn. Syst.
Yajing Kong, Liu Liu, Huanhuan Chen, Janusz Kacprzyk, Dacheng Tao
2024 A* conf
Pareto Deep Long-Tailed Recognition: A Conflict-Averse Solution.
ICLR
Zhipeng Zhou, Liu Liu, Peilin Zhao, Wei Gong
2024 J jnl
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks.
IEEE Trans. Knowl. Data Eng.
Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao
2024 J jnl
Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping.
CoRR
Haoyu Wang, Guozheng Ma, Ziqiao Meng, Zeyu Qin, Li Shen, Zhong Zhang, Bingzhe Wu, Liu Liu, Yatao Bian, Tingyang Xu, Xueqian Wang, Peilin Zhao
2024 J jnl
The curse of random quantum data.
CoRR
Kaining Zhang, Junyu Liu, Liu Liu, Liang Jiang, Min-Hsiu Hsieh, Dacheng Tao
2023 J jnl
Attribute-Image Person Re-identification via Modal-Consistent Metric Learning.
Int. J. Comput. Vis.
Jianqing Zhu, Liu Liu, Yibing Zhan, Xiaobin Zhu, Huanqiang Zeng, Dacheng Tao
2023 A* conf
BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion.
ICLR
Fu-Yun Wang, Da-Wei Zhou, Liu Liu, Han-Jia Ye, Yatao Bian, De-Chuan Zhan, Peilin Zhao
2023 A* conf
Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification.
ICCV
Fusheng Hao, Fengxiang He, Liu Liu, Fuxiang Wu, Dacheng Tao, Jun Cheng
2023 J jnl
Deploying Offline Reinforcement Learning with Human Feedback.
CoRR
Ziniu Li, Ke Xu, Liu Liu, Lanqing Li, Deheng Ye, Peilin Zhao
2023 J jnl
Differentiable Frank-Wolfe Optimization Layer.
CoRR
Zixuan Liu, Liu Liu, Xueqian Wang, Peilin Zhao
2023 J jnl
Dynamics Adapted Imitation Learning.
Trans. Mach. Learn. Res.
Zixuan Liu, Liu Liu, Bingzhe Wu, Lanqing Li, Xueqian Wang, Bo Yuan, Peilin Zhao
2023 J jnl
Generalised Watson Distribution on the Hypersphere with Applications to Clustering.
J. Math. Imaging Vis.
Stephen J. Maybank, Liu Liu, Dacheng Tao
2023 J jnl
InDecGAN: Learning to Generate Complex Images From Captions via Independent Object-Level Decomposition and Enhancement.
IEEE Trans. Multim.
Jun Cheng, Fuxiang Wu, Liu Liu, Qieshi Zhang, Leszek Rutkowski, Dacheng Tao
2023 J jnl
Language-Based Image Manipulation Built on Language-Guided Ranking.
IEEE Trans. Multim.
Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Jun Cheng
2023 J jnl
Mixer-Based Semantic Spread for Few-Shot Learning.
IEEE Trans. Multim.
Jun Cheng, Fusheng Hao, Fengxiang He, Liu Liu, Qieshi Zhang
2023 J jnl
On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling.
CoRR
Chuang Liu, Yibing Zhan, Baosheng Yu, Liu Liu, Bo Du, Wenbin Hu, Tongliang Liu
2023 J jnl
On exploring node-feature and graph-structure diversities for node drop graph pooling.
Neural Networks
Chuang Liu, Yibing Zhan, Baosheng Yu, Liu Liu, Bo Du, Wenbin Hu, Tongliang Liu
2023 J jnl
On the Guaranteed Almost Equivalence Between Imitation Learning From Observation and Demonstration.
IEEE Trans. Neural Networks Learn. Syst.
Zhihao Cheng, Liu Liu, Aishan Liu, Hao Sun, Meng Fang, Dacheng Tao
2023 J jnl
Prescribed Safety Performance Imitation Learning From a Single Expert Dataset.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhihao Cheng, Li Shen, Miaoxi Zhu, Jiaxian Guo, Meng Fang, Liu Liu, Bo Du, Dacheng Tao
2023 A* conf
Reject Decoding via Language-Vision Models for Text-to-Image Synthesis.
AAAI
Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Lei Wang, Jun Cheng
2023 J jnl
Reweighted Mixup for Subpopulation Shift.
CoRR
Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Qinghua Hu, Bingzhe Wu, Changqing Zhang, Jianhua Yao
2023 J jnl
SIN: Semantic Inference Network for Few-Shot Streaming Label Learning.
IEEE Trans. Neural Networks Learn. Syst.
Zhen Wang, Liu Liu, Yiqun Duan, Dacheng Tao
2023 J jnl
Stochastic Optimization for Non-convex Problem with Inexact Hessian Matrix, Gradient, and Function.
CoRR
Liu Liu, Xuanqing Liu, Cho-Jui Hsieh, Dacheng Tao
2023 J jnl
Stochastically Controlled Compositional Gradient for Composition Problems.
IEEE Trans. Neural Networks Learn. Syst.
Liu Liu, Ji Liu, Cho-Jui Hsieh, Dacheng Tao
2023 J jnl
The Visual Footsteps Planning System for Exoskeleton Robots Under Complex Terrain.
IEEE Trans. Syst. Man Cybern. Syst.
Xinyu Wu, Jinke Li, Liu Liu, Dacheng Tao
2023 J jnl
Trust-Region Adaptive Frequency for Online Continual Learning.
Int. J. Comput. Vis.
Yajing Kong, Liu Liu, Maoying Qiao, Zhen Wang, Dacheng Tao
2022 — conf
Balancing Stability and Plasticity Through Advanced Null Space in Continual Learning.
ECCV (26)
Yajing Kong, Liu Liu, Zhen Wang, Dacheng Tao
2022 J jnl
Balancing Stability and Plasticity through Advanced Null Space in Continual Learning.
CoRR
Yajing Kong, Liu Liu, Zhen Wang, Dacheng Tao
2022 A* conf
Channelized Axial Attention - considering Channel Relation within Spatial Attention for Semantic Segmentation.
AAAI
Ye Huang, Di Kang, Wenjing Jia, Liu Liu, Xiangjian He
2022 A* conf
Continual Learning through Retrieval and Imagination.
AAAI
Zhen Wang, Liu Liu, Yiqun Duan, Dacheng Tao
2022 A* conf
Continual Learning with Lifelong Vision Transformer.
CVPR
Zhen Wang, Liu Liu, Yiqun Duan, Yajing Kong, Dacheng Tao
2022 A* conf
Dual-branch Density Ratio Estimation for Signed Network Embedding.
WWW
Pinghua Xu, Yibing Zhan, Liu Liu, Baosheng Yu, Bo Du, Jia Wu, Wenbin Hu
2022 A* conf
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits.
NeurIPS
Kaining Zhang, Liu Liu, Min-Hsiu Hsieh, Dacheng Tao
2022 J jnl
Exploring High-Order Structure for Robust Graph Structure Learning.
CoRR
Guangqian Yang, Yibing Zhan, Jinlong Li, Baosheng Yu, Liu Liu, Fengxiang He
2022 J jnl
Gaussian initializations help deep variational quantum circuits escape from the barren plateau.
CoRR
Kaining Zhang, Min-Hsiu Hsieh, Liu Liu, Dacheng Tao
2022 J jnl
Imposing Semantic Consistency of Local Descriptors for Few-Shot Learning.
IEEE Trans. Image Process.
Jun Cheng, Fusheng Hao, Liu Liu, Dacheng Tao
2022 — conf
Online Continual Learning with Contrastive Vision Transformer.
ECCV (20)
Zhen Wang, Liu Liu, Yajing Kong, Jiaxian Guo, Dacheng Tao
2022 J jnl
Online Continual Learning with Contrastive Vision Transformer.
CoRR
Zhen Wang, Liu Liu, Yajing Kong, Jiaxian Guo, Dacheng Tao
2022 A* conf
Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation.
AAAI
Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du
2022 J jnl
Resistance Training using Prior Bias: toward Unbiased Scene Graph Generation.
CoRR
Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du
2022 J jnl
Robust Imitation Learning from Corrupted Demonstrations.
CoRR
Liu Liu, Ziyang Tang, Lanqing Li, Dijun Luo
2022 J jnl
Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation.
CoRR
Chengqian Gao, Ke Xu, Liu Liu, Deheng Ye, Peilin Zhao, Zhiqiang Xu
2022 A* conf
Text-to-Image Synthesis based on Object-Guided Joint-Decoding Transformer.
CVPR
Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Jun Cheng
2022 A* conf
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup.
NeurIPS
Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao
2022 J jnl
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup.
CoRR
Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao
2022 J jnl
Variance Reduced Methods for Non-Convex Composition Optimization.
IEEE Trans. Pattern Anal. Mach. Intell.
Liu Liu, Ji Liu, Dacheng Tao
2021 J jnl
A spatial structural similarity triplet loss for auxiliary vehicle re-identification.
Sci. China Inf. Sci.
Jianqing Zhu, Liu Liu, Xiaobin Zhu, Huanqiang Zeng
2021 A* conf
Adaptive Curriculum Learning.
ICCV
Yajing Kong, Liu Liu, Jun Wang, Dacheng Tao
2021 J jnl
CAA : Channelized Axial Attention for Semantic Segmentation.
CoRR
Ye Huang, Wenjing Jia, Xiangjian He, Liu Liu, Yuxin Li, Dacheng Tao
2021 A* conf
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels.
NeurIPS
Sheng Wan, Yibing Zhan, Liu Liu, Baosheng Yu, Shirui Pan, Chen Gong
2021 A* conf
Multi-label Few-shot Learning with Semantic Inference (Student Abstract).
AAAI
Zhen Wang, Yiqun Duan, Liu Liu, Dacheng Tao
2021 J jnl
SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks.
CoRR
Weigang Lu, Yibing Zhan, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao
2021 J jnl
Solving Jigsaw Puzzles via Nonconvex Quadratic Programming With the Projected Power Method.
IEEE Trans. Multim.
Fang Yan, Yuanjie Zheng, Jinyu Cong, Liu Liu, Dacheng Tao, Sujuan Hou
2020 A* conf
Deep Streaming Label Learning.
ICML
Zhen Wang, Liu Liu, Dacheng Tao
2020 J jnl
On the Guaranteed Almost Equivalence between Imitation Learning from Observation and Demonstration.
CoRR
Zhihao Cheng, Liu Liu, Aishan Liu, Hao Sun, Meng Fang, Dacheng Tao
2019 J jnl
Dualityfree Methods for Stochastic Composition Optimization.
IEEE Trans. Neural Networks Learn. Syst.
Liu Liu, Ji Liu, Dacheng Tao
2019 J jnl
Quantum algorithm for finding the negative curvature direction in non-convex optimization.
CoRR
Kaining Zhang, Min-Hsiu Hsieh, Liu Liu, Dacheng Tao
2019 J jnl
The Double-Accelerated Stochastic Method for Regularized Empirical Risk Minimization.
IEEE Trans. Emerg. Top. Comput. Intell.
Liu Liu, Dacheng Tao
2018 J jnl
GoDec+: Fast and Robust Low-Rank Matrix Decomposition Based on Maximum Correntropy.
IEEE Trans. Neural Networks Learn. Syst.
Kailing Guo, Liu Liu, Xiangmin Xu, Dong Xu, Dacheng Tao
2018 J jnl
Stochastic Second-order Methods for Non-convex Optimization with Inexact Hessian and Gradient.
CoRR
Liu Liu, Xuanqing Liu, Cho-Jui Hsieh, Dacheng Tao
2018 J jnl
Stochastic Zeroth-order Optimization via Variance Reduction method.
CoRR
Liu Liu, Minhao Cheng, Cho-Jui Hsieh, Dacheng Tao
2018 J jnl
Stochastically Controlled Stochastic Gradient for the Convex and Non-convex Composition problem.
CoRR
Liu Liu, Ji Liu, Cho-Jui Hsieh, Dacheng Tao
2017 J jnl
Diversified dictionaries for multi-instance learning.
Pattern Recognit.
Maoying Qiao, Liu Liu, Jun Yu, Chang Xu, Dacheng Tao
2017 J jnl
Duality-free Methods for Stochastic Composition Optimization.
CoRR
Liu Liu, Ji Liu, Dacheng Tao
2017 J jnl
Label Propagation via Teaching-to-Learn and Learning-to-Teach.
IEEE Trans. Neural Networks Learn. Syst.
Chen Gong, Dacheng Tao, Wei Liu, Liu Liu, Jie Yang
2016 A* conf
Sublinear Dual Coordinate Ascent for Regularized Loss Minimization.
ICDM
Liu Liu, Dacheng Tao