Du, Liang

34 publications

IJCAI 2025 An Association-Based Fusion Method for Speech Enhancement Shijie Wang, Qian Guo, Lu Chen, Liang Du, Zikun Jin, Zhian Yuan, Xinyan Liang

IJCAI 2025 Dynamic Anchor-Based Ensemble Clustering via Hypergraph Reconstruction Jiaxuan Xu, Lei Duan, Xinye Wang, Liang Du

NeurIPS 2025 Improving Evolutionary Multi-View Classification via Eliminating Individual Fitness Bias Xinyan Liang, ShuaiLi, Qian Guo, Yuhua Qian, Bingbing Jiang, Tingjin Luo, Liang Du

AAAI 2025 K-HyperEdge Medoids for Clustering Ensemble Feijiang Li, Jieting Wang, Liuya Zhang, Yuhua Qian, Shuai Jin, Tao Yan, Liang Du

ECML-PKDD 2025 Late Fusion Multiple Kernel Clustering Refined via Optimal Linear Graph Filtering Henghui Jiang, Yiqing Guo, Yan Chen, Liang Du

ICML 2025 Robust Automatic Modulation Classification with Fuzzy Regularization Xinyan Liang, Ruijie Sang, Yuhua Qian, Qian Guo, Feijiang Li, Liang Du

AAAI 2025 Sharper Error Bounds in Late Fusion Multi-View Clustering with Eigenvalue Proportion Optimization Liang Du, Henghui Jiang, Xiaodong Li, Yiqing Guo, Yan Chen, Feijiang Li, Peng Zhou, Yuhua Qian

ICML 2025 Trusted Multi-View Classification with Expert Knowledge Constraints Xinyan Liang, Shijie Wang, Yuhua Qian, Qian Guo, Liang Du, Bingbing Jiang, Tingjin Luo, Feijiang Li

IJCAI 2025 View-Association-Guided Dynamic Multi-View Classification Xinyan Liang, Li Lv, Qian Guo, Bingbing Jiang, Feijiang Li, Liang Du, Lu Chen

IJCAI 2025 Wavelet Multi-Scale Region-Enhanced Network for Medical Image Segmentation Hang Lu, Liang Du, Peng Zhou

ICLR 2024 BatchPrompt: Accomplish More with Less Jianzhe Lin, Maurice Diesendruck, Liang Du, Robin Abraham

NeurIPS 2024 Fair Kernel K-Means: From Single Kernel to Multiple Kernel Peng Zhou, Rongwen Li, Liang Du

ICLR 2024 Large Language Model Cascades with Mixture of Thought Representations for Cost-Efficient Reasoning Murong Yue, Jie Zhao, Min Zhang, Liang Du, Ziyu Yao

ICLRW 2024 Large Language Model Cascades with Mixture of Thought Representations for Cost-Efficient Reasoning Murong Yue, Jie Zhao, Min Zhang, Liang Du, Ziyu Yao

UAI 2024 RE-SORT: Removing Spurious Correlation in Multilevel Interaction for CTR Prediction Songli Wu, Liang Du, Jiaqi Yang, Yuai Wang, Dechuan Zhan, Shuang Zhao, Zixun Sun

ICLRW 2023 MathPrompter: Mathematical Reasoning Using Large Language Models Shima Imani, Liang Du, Harsh Shrivastava

AAAI 2022 Modify Self-Attention via Skeleton Decomposition for Effective Point Cloud Transformer Jiayi Han, Longbin Zeng, Liang Du, Xiaoqing Ye, Weiyang Ding, Jianfeng Feng

CVPR 2021 Depth-Conditioned Dynamic Message Propagation for Monocular 3D Object Detection Li Wang, Liang Du, Xiaoqing Ye, Yanwei Fu, Guodong Guo, Xiangyang Xue, Jianfeng Feng, Li Zhang

ICCV 2021 The Devil Is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection Zhikang Zou, Xiaoqing Ye, Liang Du, Xianhui Cheng, Xiao Tan, Li Zhang, Jianfeng Feng, Xiangyang Xue, Errui Ding

AAAI 2021 Tri-Level Robust Clustering Ensemble with Multiple Graph Learning Peng Zhou, Liang Du, Yi-Dong Shen, Xuejun Li

CVPR 2020 Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection Liang Du, Xiaoqing Ye, Xiao Tan, Jianfeng Feng, Zhenbo Xu, Errui Ding, Shilei Wen

ECCV 2020 Monocular 3D Object Detection via Feature Domain Adaptation Xiaoqing Ye, Liang Du, Yifeng Shi, Yingying Li, Xiao Tan, Jianfeng Feng, Errui Ding, Shilei Wen

IJCAI 2020 Self-Paced Consensus Clustering with Bipartite Graph Peng Zhou, Liang Du, Xuejun Li

ICCV 2019 SSF-DAN: Separated Semantic Feature Based Domain Adaptation Network for Semantic Segmentation Liang Du, Jingang Tan, Hongye Yang, Jianfeng Feng, Xiangyang Xue, Qibao Zheng, Xiaoqing Ye, Xiaolin Zhang

ECCV 2018 3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation Xiaoqing Ye, Jiamao Li, Hexiao Huang, Liang Du, Xiaolin Zhang

IJCAI 2017 Top-K Supervise Feature Selection via ADMM for Integer Programming Mingyu Fan, Xiaojun Chang, Xiaoqin Zhang, Di Wang, Liang Du

CVPRW 2016 Covert Video Classification by Codebook Growing Pattern Liang Du, Haitao Lang, Ying-li Tian, Chiu C. Tan, Jie Wu, Haibin Ling

AAAI 2015 Convex Batch Mode Active Sampling via Α-Relative Pearson Divergence Hanmo Wang, Liang Du, Peng Zhou, Lei Shi, Yi-Dong Shen

CVPR 2015 Cross-Age Face Verification by Coordinating with Cross-Face Age Verification Liang Du, Haibin Ling

IJCAI 2015 Learning a Robust Consensus Matrix for Clustering Ensemble via Kullback-Leibler Divergence Minimization Peng Zhou, Liang Du, Hanmo Wang, Lei Shi, Yi-Dong Shen

IJCAI 2015 Recovery of Corrupted Multiple Kernels for Clustering Peng Zhou, Liang Du, Lei Shi, Hanmo Wang, Yi-Dong Shen

IJCAI 2015 Robust Multiple Kernel K-Means Using L21-Norm Liang Du, Peng Zhou, Lei Shi, Hanmo Wang, Mingyu Fan, Wenjian Wang, Yi-Dong Shen

AAAI 2014 Exploiting Competition Relationship for Robust Visual Recognition Liang Du, Haibin Ling

IJCAI 2013 Towards Robust Co-Clustering Liang Du, Yi-Dong Shen