Haobo Wang

According to our database, Haobo Wang authored at least 81 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning.

Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Sparse Aperture High-Resolution RID ISAR Imaging of Maneuvering Target Based on Parametric Efficient Sparse Bayesian Learning.

Shichao Xiong, Kai-Ming Li, Haobo Wang, Siyuan Zhao, Ying Luo, Qun Zhang

IEEE Geosci. Remote. Sens. Lett., 2024

RECOST: External Knowledge Guided Data-efficient Instruction Tuning.

Qi Zhang, Yiming Zhang, Haobo Wang, Junbo Zhao

CoRR, 2024

Debiased Sample Selection for Combating Noisy Labels.

Qi Wei, Lei Feng, Haobo Wang, Bo An

CoRR, 2024

Energy-based Automated Model Evaluation.

Ru Peng, Heming Zou, Haobo Wang, Yawen Zeng, Zenan Huang, Junbo Zhao

CoRR, 2024

A Separation and Alignment Framework for Black-Box Domain Adaptation.

Mingxuan Xia, Junbo Zhao, Gengyu Lyu, Zenan Huang, Tianlei Hu, Gang Chen, Haobo Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Raspberry Pi-based design of intelligent household classified garbage bin.

Haonan Fan, Qin Dong, Naixuan Guo, Jun Xue, Rongrong Zhang, Haobo Wang, Mingfeng Shi

Internet Things, December, 2023

Generalized Zero-Shot Space Target Recognition Based on Global-Local Visual Feature Embedding Network.

Yuan-Peng Zhang, Jingye Guan, Haobo Wang, Kai-Ming Li, Ying Luo, Qun Zhang

Remote. Sens., November, 2023

OpenMetaRec: Open-metapath heterogeneous dual attention network for paper recommendation.

Xia Xiao, Jiaying Huang, Haobo Wang, Chengde Zhang, Xinzhong Chen

Expert Syst. Appl., November, 2023

Effect of internal excitation induced by non-uniform contact of roller bearings on nonlinear vibration and stability of rotor system under combined loads.

Yulai Zhao, Haobo Wang, Junzhe Lin, Qingkai Han, Yang Liu

Commun. Nonlinear Sci. Numer. Simul., October, 2023

Multi-Source Multi-Label Learning for User Profiling in Online Games.

Xiang Wen, Shiwei Zhao, Haobo Wang, Runze Wu, Manhu Qu, Tianlei Hu, Gang Chen, Jianrong Tao, Changjie Fan

IEEE Trans. Multim., 2023

Approach to the Quantitative Diagnosis of Rolling Bearings Based on Optimized VMD and Lempel-Ziv Complexity under Varying Conditions.

Haobo Wang, Tongguang Yang, Qingkai Han, Zhong Luo

Sensors, 2023

Analysis of Mechanical Properties and Fatigue Life of Microturbine Angular Contact Ball Bearings under Eccentric Load Conditions.

Haobo Wang, Hangyuan Lv, Zhong Luo

Sensors, 2023

Towards Domain-Specific Features Disentanglement for Domain Generalization.

Hao Chen, Qi Zhang, Zenan Huang, Haobo Wang, Junbo Zhao

CoRR, 2023

Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective.

Renyu Zhu, Haoyu Liu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Haobo Wang

CoRR, 2023

TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT.

Liangyu Zha, Junlin Zhou, Liyao Li, Rui Wang, Qingyi Huang, Saisai Yang, Jing Yuan, Changbao Su, Xiang Li, Aofeng Su, Tao Zhang, Chen Zhou, Kaizhe Shou, Miao Wang, Wufang Zhu, Guoshan Lu, Chao Ye, Yali Ye, Wentao Ye, Yiming Zhang, Xinglong Deng, Jie Xu, Haobo Wang, Gang Chen, Junbo Zhao

CoRR, 2023

CT-BERT: Learning Better Tabular Representations Through Cross-Table Pre-training.

Chao Ye, Guoshan Lu, Haobo Wang, Liyao Li, Sai Wu, Gang Chen, Junbo Zhao

CoRR, 2023

Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility.

Wentao Ye, Mingfeng Ou, Tianyi Li, Yipeng Chen, Xuetao Ma, Yifan Yanggong, Sai Wu, Jie Fu, Gang Chen, Haobo Wang, Junbo Zhao

CoRR, 2023

Controllable Textual Inversion for Personalized Text-to-Image Generation.

Jianan Yang, Haobo Wang, Ruixuan Xiao, Sai Wu, Gang Chen, Junbo Zhao

CoRR, 2023

Catch: Collaborative Feature Set Search for Automated Feature Engineering.

Guoshan Lu, Haobo Wang, Saisai Yang, Jing Yuan, Guozheng Yang, Cheng Zang, Gang Chen, Junbo Zhao

Proceedings of the ACM Web Conference 2023, 2023

SPA: A Graph Spectral Alignment Perspective for Domain Adaptation.

Zhiqing Xiao, Haobo Wang, Ying Jin, Lei Feng, Gang Chen, Fei Huang, Junbo Zhao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Debiased and Denoised Entity Recognition from Distant Supervision.

Haobo Wang, Yiwen Dong, Ruixuan Xiao, Fei Huang, Gang Chen, Junbo Zhao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Regression with Cost-based Rejection.

Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving the Transferability of Adversarial Examples with Diverse Gradients.

Yangjie Cao, Haobo Wang, Chenxi Zhu, Yan Zhuang, Jie Li, Xianfu Chen

Proceedings of the International Joint Conference on Neural Networks, 2023

ProMix: Combating Label Noise via Maximizing Clean Sample Utility.

Ruixuan Xiao, Yiwen Dong, Haobo Wang, Lei Feng, Runze Wu, Gang Chen, Junbo Zhao

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Deep Partial Multi-Label Learning with Graph Disambiguation.

Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Latent Processes Identification From Multi-View Time Series.

Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Towards Controlled Data Augmentations for Active Learning.

Jianan Yang, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao

Proceedings of the International Conference on Machine Learning, 2023

Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering.

Liyao Li, Haobo Wang, Liangyu Zha, Qingyi Huang, Sai Wu, Gang Chen, Junbo Zhao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Image Defogging Method based on Multi-Scale and Frequency Domain Features.

Haobo Wang, Yinghua Zhou

Proceedings of the 2023 7th International Conference on Innovation in Artificial Intelligence, 2023

CAME: Contrastive Automated Model Evaluation.

Ru Peng, Qiuyang Duan, Haobo Wang, Jiachen Ma, Yanbo Jiang, Yongjun Tu, Xiu Jiang, Junbo Zhao

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

iDAG: Invariant DAG Searching for Domain Generalization.

Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng

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

Resource Allocation and Intelligent Trajectory Optimization for UAV-Assisted Semantic Communication System.

Haobo Wang, Lingyi Wang, Wei Wu

Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models.

Ruixuan Xiao, Yiwen Dong, Junbo Zhao, Runze Wu, Minmin Lin, Gang Chen, Haobo Wang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Revisiting the Knowledge Injection Frameworks.

Peng Fu, Yiming Zhang, Haobo Wang, Weikang Qiu, Junbo Zhao

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Generalized Unbiased Risk Estimator for Learning with Augmented Classes.

Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng

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

2022

A Hybrid Data Cleaning Framework Using Markov Logic Networks.

Congcong Ge, Yunjun Gao, Xiaoye Miao, Bin Yao, Haobo Wang

IEEE Trans. Knowl. Data Eng., 2022

Improved Time Synchronous Averaging and Its Application in Data-Driven Rotor Fault Diagnosis.

Yulai Zhao, Haobo Wang, Xiaoguo Gao, Qingkai Han, Yang Liu

IEEE Trans. Instrum. Meas., 2022

ISAR Resolution Enhancement Method Exploiting Generative Adversarial Network.

Haobo Wang, Kaiming Li, Xiaofei Lu, Qun Zhang, Ying Luo, Le Kang

Remote. Sens., 2022

The Emerging Trends of Multi-Label Learning.

Weiwei Liu, Haobo Wang, Xiaobo Shen, Ivor W. Tsang

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

An adaptive regression based single-image super-resolution.

Mingzheng Hou, Ziliang Feng, Haobo Wang, Zhiwei Shen, Sheng Li

Multim. Tools Appl., 2022

A Sparsity-Limitation-Based High-Dimensional Distribution Searching Algorithm for Adversarial Attack.

Chenxi Zhu, Haobo Wang, Yan Zhuang, Jie Li, Yangjie Cao

J. Sensors, 2022

ProMix: Combating Label Noise via Maximizing Clean Sample Utility.

Haobo Wang, Ruixuan Xiao, Yiwen Dong, Lei Feng, Junbo Zhao

CoRR, 2022

SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning.

Haobo Wang, Mingxuan Xia, Yixuan Li, Yuren Mao, Lei Feng, Gang Chen, Junbo Zhao

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

Less-forgetting Multi-lingual Fine-tuning.

Yuren Mao, Yaobo Liang, Nan Duan, Haobo Wang, Kai Wang, Lu Chen, Yunjun Gao

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

Multi-label Learning with Data Self-augmentation.

Yuhang Ge, Xuegang Hu, Peipei Li, Haobo Wang, Junbo Zhao, Junlong Li

Proceedings of the Neural Information Processing - 29th International Conference, 2022

PiCO: Contrastive Label Disambiguation for Partial Label Learning.

Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao

Proceedings of the Tenth International Conference on Learning Representations, 2022

CLIMBER: defending phase change memory against inconsistent write attacks.

Zhuohui Duan, Haobo Wang, Haikun Liu, Xiaofei Liao, Hai Jin, Yu Zhang, Fubing Mao

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Large-scale online multi-view graph neural network and applications.

Zhao Li, Yuying Xing, Jiaming Huang, Haobo Wang, Jianliang Gao, Guoxian Yu

Future Gener. Comput. Syst., 2021

Dual Enhancement for Multi-Label Learning with Missing Labels.

Shengyuan Liu, Haobo Wang, Tianlei Hu, Ke Chen

Proceedings of the MLMI 2021: The 4th International Conference on Machine Learning and Machine Intelligence, Hangzhou, China, September 17, 2021

Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks.

Abhinav Goel, Caleb Tung, Xiao Hu, Haobo Wang, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2021

A Hybrid Data Cleaning Framework Using Markov Logic Networks (Extended Abstract).

Congcong Ge, Yunjun Gao, Xiaoye Miao, Bin Yao, Haobo Wang

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

Full-Scale Distribution System Topology Identification Using Markov Random Field.

Jian Zhao, Liang Li, Zhao Xu, Xiaoyu Wang, Haobo Wang, Xianjun Shao

IEEE Trans. Smart Grid, 2020

A Novel Method about the Representation and Discrimination of Traffic State.

Junfeng Jiang, Qiushi Chen, Jie Xue, Haobo Wang, Zhijun Chen

Sensors, 2020

Deep Interest-Shifting Network with Meta-Embeddings for Fresh Item Recommendation.

Zhao Li, Haobo Wang, Donghui Ding, Shichang Hu, Zhen Zhang, Weiwei Liu, Jianliang Gao, Zhiqiang Zhang, Ji Zhang

Complex., 2020

Crowdsourcing Detection of Sampling Biases in Image Datasets.

Xiao Hu, Haobo Wang, Anirudh Vegesana, Somesh Dube, Kaiwen Yu, Gore Kao, Shuo-Han Chen, Yung-Hsiang Lu, George K. Thiruvathukal, Ming Yin

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Secure Transmission Design for Dual-Polarized Satellite System via DL-MPWFRFT and Improved Chaotic Phase Modulation.

Haobo Wang, Hang Hu, Xinyu Da, Lei Ni, Yu Pan, Yonghui Xu

Proceedings of the 2020 International Conference on Wireless Communications and Signal Processing (WCSP), 2020

Online Partial Label Learning.

Haobo Wang, Yuzhou Qiang, Chen Chen, Weiwei Liu, Tianlei Hu, Zhao Li, Gang Chen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Collaboration Based Multi-Label Propagation for Fraud Detection.

Haobo Wang, Zhao Li, Jiaming Huang, Pengrui Hui, Weiwei Liu, Tianlei Hu, Gang Chen

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning From Multi-Dimensional Partial Labels.

Haobo Wang, Weiwei Liu, Yang Zhao, Tianlei Hu, Ke Chen, Gang Chen

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification.

Haobo Wang, Chen Chen, Weiwei Liu, Ke Chen, Tianlei Hu, Gang Chen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Variable-Length Coding With Shared Incremental Redundancy: Design Methods and Examples.

Haobo Wang, Sudarsan V. S. Ranganathan, Richard D. Wesel

IEEE Trans. Commun., 2019

Multi-Regional Online Car-Hailing Order Quantity Forecasting Based on the Convolutional Neural Network.

Zihao Huang, Gang Huang, Zhijun Chen, Chaozhong Wu, Xiaofeng Ma, Haobo Wang

Inf., 2019

A Hybrid Data Cleaning Framework using Markov Logic Networks.

Yunjun Gao, Congcong Ge, Xiaoye Miao, Haobo Wang, Bin Yao, Qing Li

CoRR, 2019

Discriminative and Correlative Partial Multi-Label Learning.

Haobo Wang, Weiwei Liu, Yang Zhao, Chen Zhang, Tianlei Hu, Gang Chen

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Decoding Flash Memory with Progressive Reads and Independent vs. Joint Encoding of Bits in a Cell.

Nathan Wong, Ethan Liang, Haobo Wang, Sudarsan V. S. Ranganathan, Richard D. Wesel

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification.

Chen Chen, Haobo Wang, Weiwei Liu, Xingyuan Zhao, Tianlei Hu, Gang Chen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

KT-Store: A Key-Order and Write-Order Hybrid Key-Value Store with High Write and Range-Query Performance.

Haobo Wang, Yinliang Yue, Shuibing He, Weiping Wang

Proceedings of the Network and Parallel Computing, 2018

A Priority and Fairness Mixed Compaction Scheduling Mechanism for LSM-tree Based KV-Stores.

Lidong Chen, Yinliang Yue, Haobo Wang, Jianhua Wu

Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

Channel Code Analysis and Design Using Multiple Variable-Length Codes in Parallel without Feedback.

Haobo Wang, Richard D. Wesel

Proceedings of the IEEE Global Communications Conference, 2018

2017

Three-Dimensional Vehicle-to-Vehicle Channel Modeling with Multiple Moving Scatterers.

Derong Du, Xiaoping Zeng, Xin Jian, Lijuan Miao, Haobo Wang

Mob. Inf. Syst., 2017

Sequential differential optimization of incremental redundancy transmission lengths: An example with tail-biting convolutional codes.

Nathan Wong, Kasra Vakilinia, Haobo Wang, Sudarsan V. S. Ranganathan, Richard D. Wesel

Proceedings of the 2017 Information Theory and Applications Workshop, 2017

An information density approach to analyzing and optimizing incremental redundancy with feedback.

Haobo Wang, Nathan Wong, Alexander M. Baldauf, Christopher K. Bachelor, Sudarsan V. S. Ranganathan, Dariush Divsalar, Richard D. Wesel

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Approaching capacity using incremental redundancy without feedback.

Haobo Wang, Sudarsan V. S. Ranganathan, Richard D. Wesel

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016

Using Dynamic Allocation of Write Voltage to Extend Flash Memory Lifetime.

Haobo Wang, Nathan Wong, Tsung-Yi Chen, Richard D. Wesel

IEEE Trans. Commun., 2016

2015

Minimum information entropy based q-matrix learning in DINA model.

Shiwei Ye, Yuan Sun, Haobo Wang, Yi Sun

Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015

Histogram-based Flash channel estimation.

Haobo Wang, Tsung-Yi Chen, Richard D. Wesel

Proceedings of the 2015 IEEE International Conference on Communications, 2015

A latent space perturbation algorithm for Boolean Matrix completion based on weighted Frobenius norm.

Haobo Wang, Guiping Su, Yuan Sun, Shiwei Ye, Pan Liao, Yi Sun

Proceedings of the 2015 International Conference on Behavioral, 2015

Dynamic voltage allocation with quantized voltage levels and simplified channel modeling.

Haobo Wang, Nathan Wong, Richard D. Wesel

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014

Maximum likelihood estimation based DINA model and Q-matrix learning.

Yuan Sun, Shiwei Ye, Huiyang Shi, Haobo Wang, Yi Sun

Proceedings of the 2014 International Conference on Behavioral, 2014

2004

A hardware-accelerated implementation of the RSVP-TE signaling protocol.

Haobo Wang, Ramesh Karri, Malathi Veeraraghavan, Tao Li

Proceedings of IEEE International Conference on Communications, 2004