Liang Du

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 88

Top Venues

Georgia Institute of Technology, Atlanta, GA, USA (PHD)

Education History

Georgia Institute of Technology, Atlanta, GA, USA

PHD

Publications

Boao Hu, Xu Wang, Peng Zhou, Liang Du
Multi-view Outlier Detection via Graphs Denoising. Inf. Fusion 101 (2024)
Murong Yue, Jie Zhao, Min Zhang, Liang Du, Ziyu Yao
Large Language Model Cascades with Mixture of Thought Representations for Cost-Efficient Reasoning. ICLR (2024)
Liang Du, Hao Jiang, Dongsheng Ye, Hao Li
An unclosed structures-preserving embedding model for signed networks. Neurocomputing 576 (2024)
Jianzhe Lin, Maurice Diesendruck, Liang Du, Robin Abraham
BatchPrompt: Accomplish more with less. ICLR (2024)
Yuling Zhang, Anpeng Wu, Kun Kuang, Liang Du, Zixun Sun, Zhi Wang
Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution Populations. ICDE (2024)
Yuling Zhang, Anpeng Wu, Kun Kuang, Liang Du, Zixun Sun, Zhi Wang
Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution Populations. CoRR (2024)
Hao Li, Hao Jiang, Jiajun Fan, Dongsheng Ye, Liang Du
Dynamic Neural Dowker Network: Approximating Persistent Homology in Dynamic Directed Graphs. KDD (2024)
Hao Li, Hao Jiang, Dongsheng Ye, Qiang Wang, Liang Du, Yuanyuan Zeng, Liu yuan, Yingxue Wang, Cheng Chen
DHGAT: Hyperbolic representation learning on dynamic graphs via attention networks. Neurocomputing 568 (2024)
Yan Chen, Liang Du, Lei Duan
Fast Asymmetric Factorization for Large Scale Multiple Kernel Clustering. CoRR (2024)
Jean Ghislain Billa, Min Oh, Liang Du
Supervisory Prompt Training. CoRR (2024)
Murong Yue, Jie Zhao, Min Zhang, Liang Du, Ziyu Yao
Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning. CoRR (2023)
Jianzhe Lin, Maurice Diesendruck, Liang Du, Robin Abraham
BatchPrompt: Accomplish more with less. CoRR (2023)
Peng Zhou, Xia Wang, Liang Du
Bi-level ensemble method for unsupervised feature selection. Inf. Fusion 100 (2023)
Songli Wu, Liang Du, Jia-Qi Yang, Yuai Wang, De-Chuan Zhan, Shuang Zhao, Zixun Sun
REFORM: Removing False Correlation in Multi-level Interaction for CTR Prediction. CoRR (2023)
Peiling Cui, Yanbin Li, Jinlei Li, Liang Du, Yang Wu
Synchronous Vibration Force Suppression of Magnetically Suspended CMG Based on Modified Double SOGI-FLL. IEEE Trans. Ind. Electron. 70 (11) (2023)
Kainan Guan, Guang Yang, Liang Du, Zhengguang Li, Xinhua Yang
Method for fusion of neighborhood rough set and XGBoost in welding process decision-making. J. Intell. Manuf. 34 (3) (2023)
Chen Zhu, Liang Du, Xin Wang, Wenwu Zhu
DELTA: Direct Embedding Enhancement and Leverage Truncated Conscious Attention for Recommendation System. CoRR (2023)
Shima Imani, Liang Du, Harsh Shrivastava
MathPrompter: Mathematical Reasoning using Large Language Models. ACL (industry) (2023)
Shima Imani, Liang Du, Harsh Shrivastava
MathPrompter: Mathematical Reasoning using Large Language Models. CoRR (2023)
Jiayi Han, Longbin Zeng, Liang Du, Weiyang Ding, Jianfeng Feng
Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning. CoRR (2023)
Jixian Mo, Ruobin Gao, Jiahui Liu, Liang Du, Kum Fai Yuen
Annual dilated convolutional LSTM network for time charter rate forecasting. Appl. Soft Comput. 126 (2022)
Xiaoyuan Fan, Daniel Moscovitz, Liang Du, Walid Saad
A Data-Driven Democratized Control Architecture for Regional Transmission Operators. ISGT (2022)
Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, David Z. W. Wang
Time Series Forecasting Using Online Performance-based Ensemble Deep Random Vector Functional Link Neural Network. IJCNN (2022)
Jiayi Han, Longbin Zeng, Liang Du, Xiaoqing Ye, Weiyang Ding, Jianfeng Feng
Modify Self-Attention via Skeleton Decomposition for Effective Point Cloud Transformer. AAAI (2022)
Zheyuan Zhou, Liang Du, Xiaoqing Ye, Zhikang Zou, Xiao Tan, Li Zhang, Xiangyang Xue, Jianfeng Feng
SGM3D: Stereo Guided Monocular 3D Object Detection. IEEE Robotics Autom. Lett. 7 (4) (2022)
Liang Du, Xiaoqing Ye, Xiao Tan, Edward Johns, Bo Chen, Errui Ding, Xiangyang Xue, Jianfeng Feng
AGO-Net: Association-Guided 3D Point Cloud Object Detection Network. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, David Z. W. Wang
Bayesian optimization based dynamic ensemble for time series forecasting. Inf. Sci. 591 (2022)
Yue He, Minyue Jiang, Xiaoqing Ye, Liang Du, Zhikang Zou, Wei Zhang, Xiao Tan, Errui Ding
Repainting and Imitating Learning for Lane Detection. ACM Multimedia (2022)
Yan Chen, Lei Wang, Liang Du, Lei Duan
A Trace Ratio Maximization Method for Parameter Free Multiple Kernel Clustering. DASFAA (2) (2022)
Peiling Cui, Liang Du, Xinxiu Zhou, Jinlei Li, Yanbin Li, Yang Wu
Harmonic Vibration Control of MSCMG Based on Multisynchronous Rotating Frame Transformation. IEEE Trans. Ind. Electron. 69 (2) (2022)
Jiayi Han, Liang Du, Xiaoqing Ye, Li Zhang, Jianfeng Feng
The devil is in the face: Exploiting harmonious representations for facial expression recognition. Neurocomputing 486 (2022)
Zhihui Guo, Pramod Kumar Sharma, Andy Martinez, Liang Du, Robin Abraham
Multilingual Molecular Representation Learning via Contrastive Pre-training. ACL (1) (2022)
Yue He, Minyue Jiang, Xiaoqing Ye, Liang Du, Zhikang Zou, Wei Zhang, Xiao Tan, Errui Ding
Repainting and Imitating Learning for Lane Detection. CoRR (2022)
Peng Zhou, Xia Wang, Liang Du, Xuejun Li
Clustering ensemble via structured hypergraph learning. Inf. Fusion 78 (2022)
Bicheng Sun, Peng Zhou, Liang Du, Xuejun Li
Active deep image clustering. Knowl. Based Syst. 252 (2022)
Kainan Guan, Liang Du, Xinhua Yang
Relationship Extraction and Processing for Knowledge Graph of Welding Manufacturing. IEEE Access 10 (2022)
Liang Du, Xiaoqing Ye, Xiao Tan, Edward Johns, Bo Chen, Errui Ding, Xiangyang Xue, Jianfeng Feng
AGO-Net: Association-Guided 3D Point Cloud Object Detection Network. CoRR (2022)
Ruobin Gao, Liang Du, Ponnuthurai Nagaratnam Suganthan, Qin Zhou, Kum Fai Yuen
Random vector functional link neural network based ensemble deep learning for short-term load forecasting. Expert Syst. Appl. 206 (2022)
Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, David Z. W. Wang
Graph ensemble deep random vector functional link network for traffic forecasting. Appl. Soft Comput. 131 (2022)
Liang Du, Kang Yang, Yunhui Liang, Xiaolin Lv
Direct Alignment Maximization for Clustering Ensemble. ICMLSC (2021)
Ruobin Gao, Liang Du, Ponnuthurai N. Suganthan, Qin Zhou, Kum Fai Yuen
Random vector functional link neural network based ensemble deep learning for short-term load forecasting. CoRR (2021)
Zheyuan Zhou, Liang Du, Xiaoqing Ye, Zhikang Zou, Xiao Tan, Errui Ding, Li Zhang, Xiangyang Xue, Jianfeng Feng
SGM3D: Stereo Guided Monocular 3D Object Detection. CoRR (2021)
Xiaoyuan Fan, Daniel Moscovitz, Liang Du, Walid Saad
A Data-Driven Democratized Control Architecture for Regional Transmission Operators. CoRR (2021)
Xiaolin Lv, Liang Du
Graph-based Kullback-Leibler Divergence Minimization for Unsupervised Feature Selection. ICMLSC (2021)
Liang Du, Yuan Tao, Tianmei Chen, Qing Wang, Hanyu Lv
An Advanced PBFT-based Consensus Algorithm for a Bidding Consortium Blockchain. ICBCT (2021)
Ruobin Gao, Liang Du, Kum Fai Yuen, Ponnuthurai Nagaratnam Suganthan
Walk-forward empirical wavelet random vector functional link for time series forecasting. Appl. Soft Comput. 108 (2021)
Zhikang Zou, Xiaoqing Ye, Liang Du, Xianhui Cheng, Xiao Tan, Li Zhang, Jianfeng Feng, Xiangyang Xue, Errui Ding
The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection. CoRR (2021)
Peng Zhou, Liang Du, Xinwang Liu, Yi-Dong Shen, Mingyu Fan, Xuejun Li
Self-Paced Clustering Ensemble. IEEE Trans. Neural Networks Learn. Syst. 32 (4) (2021)
Zhi Chen, Xiaoqing Ye, Liang Du, Wei Yang, Liusheng Huang, Xiao Tan, Zhenbo Shi, Fumin Shen, Errui Ding
AggNet for Self-supervised Monocular Depth Estimation: Go An Aggressive Step Furthe. ACM Multimedia (2021)
Zhikang Zou, Xiaoqing Ye, Liang Du, Xianhui Cheng, Xiao Tan, Li Zhang, Jianfeng Feng, Xiangyang Xue, Errui Ding
The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection. ICCV (2021)
Zhihui Guo, Pramod Kumar Sharma, Liang Du, Robin Abraham
MM-Deacon: Multimodal molecular domain embedding analysis via contrastive learning. CoRR (2021)
Xiao-Yong Wei, Zhen-Qun Yang, Xu-Lu Zhang, Ga Liao, Ailin Sheng, S. Kevin Zhou, Yongkang Wu, Liang Du
Deep Collocative Learning for Immunofixation Electrophoresis Image Analysis. IEEE Trans. Medical Imaging 40 (7) (2021)
Li Wang, Liang Du, Xiaoqing Ye, Yanwei Fu, Guodong Guo, Xiangyang Xue, Jianfeng Feng, Li Zhang
Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detection. CoRR (2021)
Li Wang, Liang Du, Xiaoqing Ye, Yanwei Fu, Guodong Guo, Xiangyang Xue, Jianfeng Feng, Li Zhang
Depth-Conditioned Dynamic Message Propagation for Monocular 3D Object Detection. CVPR (2021)
Ruobin Gao, Liang Du, Okan Duru, Kum Fai Yuen
Time series forecasting based on echo state network and empirical wavelet transformation. Appl. Soft Comput. 102 (2021)
Peng Zhou, Liang Du, Yi-Dong Shen, Xuejun Li
Tri-level Robust Clustering Ensemble with Multiple Graph Learning. AAAI (2021)
Peng Zhou, Liang Du, Xuejun Li
Self-paced Consensus Clustering with Bipartite Graph. IJCAI (2020)
Liang Du, Xiaoqing Ye, Xiao Tan, Jianfeng Feng, Zhenbo Xu, Errui Ding, Shilei Wen
Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection. CoRR (2020)
Liang Du, Jingang Tan, Xiangyang Xue, Lili Chen, Hongkai Wen, Jianfeng Feng, Jiamao Li, Xiaolin Zhang
3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection. ICRA (2020)
Lin Mu, Haiying Zhang, Liang Du, Jie Gui, Aidan Li, Xi Zhang
Discriminative Multiple Kernel Concept Factorization for Data Representation. IEEE Access 8 (2020)
Ruobin Gao, Liang Du, Kum Fai Yuen
Robust empirical wavelet fuzzy cognitive map for time series forecasting. Eng. Appl. Artif. Intell. 96 (2020)
Peng Zhou, Jiangyong Chen, Mingyu Fan, Liang Du, Yi-Dong Shen, Xuejun Li
Unsupervised feature selection for balanced clustering. Knowl. Based Syst. 193 (2020)
Peng Zhou, Liang Du, Xuejun Li, Yi-Dong Shen, Yuhua Qian
Unsupervised feature selection with adaptive multiple graph learning. Pattern Recognit. 105 (2020)
Liang Du, Haiying Zhang, Xin Ren, Xiaolin Lv
Manifold Adaptive Multiple Kernel K-Means for Clustering. CoRR (2020)
Liang Du, Jingang Tan, Xiangyang Xue, Lili Chen, Hongkai Wen, Jianfeng Feng, Jiamao Li, Xiaolin Zhang
3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection. CoRR (2020)
Hua Zhao, Liang Du, Jianglai Wei, Yalong Fan
Local Sensitive Dual Concept Factorization for Unsupervised Feature Selection. IEEE Access 8 (2020)
Liang Du, Haiying Zhang, Xin Ren, Xiaolin Lv
Manifold Adaptive Multiple Kernel K-Means for Clustering. ACAI (2020)
Xiaoqing Ye, Liang Du, Yifeng Shi, Yingying Li, Xiao Tan, Jianfeng Feng, Errui Ding, Shilei Wen
Monocular 3D Object Detection via Feature Domain Adaptation. ECCV (9) (2020)
Liang Du, Xin Ren, Peng Zhou, Zhiguo Hu
Unsupervised Dual Learning for Feature and Instance Selection. IEEE Access 8 (2020)
Liang Du, Xiaoqing Ye, Xiao Tan, Jianfeng Feng, Zhenbo Xu, Errui Ding, Shilei Wen
Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection. CVPR (2020)
Jingang Tan, Lili Chen, Liang Du, Jiamao Li, Xiaolin Zhang
BVMSOD: Bionic Vision Mechanism based Salient Object Detection. CBS (2019)
Peng Zhou, Yi-Dong Shen, Liang Du, Fan Ye
Incremental Multi-view Support Vector Machine. SDM (2019)
Liang Du, Jingang Tan, Hongye Yang, Jianfeng Feng, Xiangyang Xue, Qibao Zheng, Xiaoqing Ye, Xiaolin Zhang
SSF-DAN: Separated Semantic Feature Based Domain Adaptation Network for Semantic Segmentation. ICCV (2019)
Liang Du, Xiaolin Lv
Consensus Graph Weighting via Trace Ratio Criterion for Multi-view Unsupervised Feature Selection. ICDM Workshops (2019)
Wenjun Shi, Dongchen Zhu, Liang Du, Guanghui Zhang, Jiamao Li, Xiaolin Zhang
A Hierarchical Attention Fused Descriptor for 3D Point Matching. IEEE Access 7 (2019)
Peng Zhou, Fan Ye, Liang Du
Unsupervised Robust Multiple Kernel Learning via Extracting Local and Global Noises. IEEE Access 7 (2019)
Liang Du, Jiamao Li, Xiaoqing Ye, Xiaolin Zhang
Weakly Supervised Deep Depth Prediction Leveraging Ground Control Points for Guidance. IEEE Access 7 (2019)
Peng Zhou, Yi-Dong Shen, Liang Du, Fan Ye, Xuejun Li
Incremental multi-view spectral clustering. Knowl. Based Syst. 174 (2019)
Liang Du, Chaohong Ren, Xiaolin Lv, Yan Chen, Peng Zhou, Zhiguo Hu
Local Graph Reconstruction for Parameter Free Unsupervised Feature Selection. IEEE Access 7 (2019)
Xiaoqing Ye, Jiamao Li, Hexiao Huang, Liang Du, Xiaolin Zhang
3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation. ECCV (7) (2018)
Mingyu Fan, Xiaoqin Zhang, Liang Du, Liang Chen, Dacheng Tao
Semi-Supervised Learning Through Label Propagation on Geodesics. IEEE Trans. Cybern. 48 (5) (2018)
Dongsen Sun, Liang Du, Xiaonan Lu, Lijun He
An Energy-Stored Quasi-Z Source Converter Based Interlinking Converter for Hybrid AC/DC Microgrids. IECON (2018)
Xiaoyuan Fan, Liang Du, Dongliang Duan
Synchrophasor Data Correction Under GPS Spoofing Attack: A State Estimation-Based Approach. IEEE Trans. Smart Grid 9 (5) (2018)
Mingyu Fan, Xiaojun Chang, Xiaoqin Zhang, Di Wang, Liang Du
Top-k Supervise Feature Selection via ADMM for Integer Programming. IJCAI (2017)
Zhijian Lin, Liang Du, Zhibin Gao, Lianfen Huang, Xiaojiang Du, Mohsen Guizani
Analysis of discovery and access procedure for D2D communication in 5G cellular network. WCNC (2016)
Liang Du, Haitao Lang, Ying-li Tian, Chiu C. Tan, Jie Wu, Haibin Ling
Covert Video Classification by Codebook Growing Pattern. CVPR Workshops (2016)
Zhijian Lin, Liang Du, Zhibin Gao, Lianfen Huang, Xiaojiang Du
Efficient device-to-device discovery and access procedure for 5G cellular network. Wirel. Commun. Mob. Comput. 16 (10) (2016)
Liang Du, Haibin Ling
Dynamic Scene Classification Using Redundant Spatial Scenelets. IEEE Trans. Cybern. 46 (9) (2016)
Li Huang, Yilin Wang, Zi Yang Meng, Liang Du, Philipp Werner, Xi Dai
: An open source continuous-time quantum Monte Carlo impurity solver toolkit. Comput. Phys. Commun. 195 (2015)
Liang Du, Haibin Ling
Cross-age face verification by coordinating with cross-face age verification. CVPR (2015)
Peng Zhou, Liang Du, Mingyu Fan, Yi-Dong Shen
An LLE based Heterogeneous Metric Learning for Cross-media Retrieval. SDM (2015)
Peng Zhou, Liang Du, Lei Shi, Hanmo Wang, Yi-Dong Shen
Recovery of Corrupted Multiple Kernels for Clustering. IJCAI (2015)
Liang Du, Yi-Dong Shen
Unsupervised Feature Selection with Adaptive Structure Learning. KDD (2015)
Hanmo Wang, Liang Du, Peng Zhou, Lei Shi, Yi-Dong Shen
Convex Batch Mode Active Sampling via α-Relative Pearson Divergence. AAAI (2015)
Nannan Gu, Mingyu Fan, Liang Du, Dongchun Ren
Efficient sequential feature selection based on adaptive eigenspace model. Neurocomputing 161 (2015)
Liang Du, Yi-Dong Shen
Unsupervised Feature Selection with Adaptive Structure Learning. CoRR (2015)
Liang Du, Peng Zhou, Lei Shi, Hanmo Wang, Mingyu Fan, Wenjian Wang, Yi-Dong Shen
Robust Multiple Kernel K-means Using L21-Norm. IJCAI (2015)
Peng Zhou, Liang Du, Hanmo Wang, Lei Shi, Yi-Dong Shen
Learning a Robust Consensus Matrix for Clustering Ensemble via Kullback-Leibler Divergence Minimization. IJCAI (2015)
Hanmo Wang, Liang Du, Peng Zhou, Lei Shi, Yuhua Qian, Yi-Dong Shen
Experimental Design with Multiple Kernels. ICDM (2015)
Lei Shi, Liang Du, Yi-Dong Shen
Robust Spectral Learning for Unsupervised Feature Selection. ICDM (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Liang Du