Haobo Wang

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 110

Top Venues

Publications

Qi Zhang, Yiming Zhang, Haobo Wang, Junbo Zhao
RECOST: External Knowledge Guided Data-efficient Instruction Tuning. ACL (Findings) (2024)
Ru Peng, Heming Zou, Haobo Wang, Yawen Zeng, Zenan Huang, Junbo Zhao
Energy-based Automated Model Evaluation. ICLR (2024)
Lin Long, Rui Wang, Ruixuan Xiao, Junbo Zhao, Xiao Ding, Gang Chen, Haobo Wang
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey. ACL (Findings) (2024)
Senlin Shu, Haobo Wang, Zhuowei Wang, Bo Han, Tao Xiang, Bo An, Lei Feng
Online binary classification from similar and dissimilar data. Mach. Learn. 113 (6) (2024)
Qi Zhang, Yiming Zhang, Haobo Wang, Junbo Zhao
RECOST: External Knowledge Guided Data-efficient Instruction Tuning. CoRR (2024)
Chao Ye, Guoshan Lu, Haobo Wang, Liyao Li, Sai Wu, Gang Chen, Junbo Zhao
Towards Cross-Table Masked Pretraining for Web Data Mining. WWW (2024)
Mingxuan Xia, Junbo Zhao, Gengyu Lyu, Zenan Huang, Tianlei Hu, Gang Chen, Haobo Wang
A Separation and Alignment Framework for Black-Box Domain Adaptation. AAAI (2024)
Wentao Ye, Jiaqi Hu, Liyao Li, Haobo Wang, Gang Chen, Junbo Zhao
Data Contamination Calibration for Black-box LLMs. CoRR (2024)
Cheng Peng, Haobo Wang, Jue Wang, Lidan Shou, Ke Chen, Gang Chen, Chang Yao
Learning Label-Adaptive Representation for Large-Scale Multi-Label Text Classification. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Haobo Wang, Cheng Peng, Hede Dong, Lei Feng, Weiwei Liu, Tianlei Hu, Ke Chen, Gang Chen
On the Value of Head Labels in Multi-Label Text Classification. ACM Trans. Knowl. Discov. Data 18 (5) (2024)
Kai Tang, Junbo Zhao, Xiao Ding, Runze Wu, Lei Feng, Gang Chen, Haobo Wang
Learning Geometry-Aware Representations for New Intent Discovery. ACL (1) (2024)
Yuquan Sun, Haobo Wang, Lingyi Wang, Bing Hu, Wei Wu
Multi-IRSs enhanced UAV secure semantic communication system. Phys. Commun. 66 (2024)
Yiming Zhang, Hantao Yang, Haobo Wang, Jake Zhao
Fast Adaptation via Prompted Data: An Efficient Cross-Domain Fine-tuning Method for Large Language Models. LREC/COLING (2024)
Shichao Xiong, Kai-Ming Li, Haobo Wang, Siyuan Zhao, Ying Luo, Qun Zhang
Sparse Aperture High-Resolution RID ISAR Imaging of Maneuvering Target Based on Parametric Efficient Sparse Bayesian Learning. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Jianfei Ren, Ying Luo, Hang Yuan, Lei Zhang, Haobo Wang
ISAR Imaging for Micro-Motion Target Based on FGSR Low-Rank Representation. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Zhonghao Wang, Danyu Sun, Sheng Zhou, Haobo Wang, Jiapei Fan, Longtao Huang, Jiajun Bu
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise. CoRR (2024)
Wentao Ye, Jiaqi Hu, Liyao Li, Haobo Wang, Gang Chen, Junbo Zhao
Data Contamination Calibration for Black-box LLMs. ACL (Findings) (2024)
Beibei Li, Yiyuan Zheng, Beihong Jin, Tao Xiang, Haobo Wang, Lei Feng
AsyCo: An Asymmetric Dual-task Co-training Model for Partial-label Learning. CoRR (2024)
Cheng Peng, Haobo Wang, Ke Chen, Lidan Shou, Chang Yao, Runze Wu, Gang Chen
CoMAL: Contrastive Active Learning for Multi-Label Text Classification. KDD (2024)
Ruixuan Xiao, Wentao Ma, Ke Wang, Yuchuan Wu, Junbo Zhao, Haobo Wang, Fei Huang, Yongbin Li
FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents. CoRR (2024)
Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Lin Long, Rui Wang, Ruixuan Xiao, Junbo Zhao, Xiao Ding, Gang Chen, Haobo Wang
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey. CoRR (2024)
Qi Wei, Lei Feng, Haobo Wang, Bo An
Debiased Sample Selection for Combating Noisy Labels. CoRR (2024)
Ru Peng, Heming Zou, Haobo Wang, Yawen Zeng, Zenan Huang, Junbo Zhao
Energy-based Automated Model Evaluation. CoRR (2024)
Peng Fu, Yiming Zhang, Haobo Wang, Weikang Qiu, Junbo Zhao
Revisiting the Knowledge Injection Frameworks. EMNLP (2023)
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
TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT. CoRR (2023)
Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng
Regression with Cost-based Rejection. NeurIPS (2023)
Ruixuan Xiao, Yiwen Dong, Haobo Wang, Lei Feng, Runze Wu, Gang Chen, Junbo Zhao
ProMix: Combating Label Noise via Maximizing Clean Sample Utility. IJCAI (2023)
Chao Ye, Guoshan Lu, Haobo Wang, Liyao Li, Sai Wu, Gang Chen, Junbo Zhao
CT-BERT: Learning Better Tabular Representations Through Cross-Table Pre-training. CoRR (2023)
Yulai Zhao, Haobo Wang, Junzhe Lin, Qingkai Han, Yang Liu
Effect of internal excitation induced by non-uniform contact of roller bearings on nonlinear vibration and stability of rotor system under combined loads. Commun. Nonlinear Sci. Numer. Simul. 125 (2023)
Ruixuan Xiao, Yiwen Dong, Junbo Zhao, Runze Wu, Minmin Lin, Gang Chen, Haobo Wang
FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models. CoRR (2023)
Hao Chen, Qi Zhang, Zenan Huang, Haobo Wang, Junbo Zhao
Towards Domain-Specific Features Disentanglement for Domain Generalization. CoRR (2023)
Jianan Yang, Haobo Wang, Ruixuan Xiao, Sai Wu, Gang Chen, Junbo Zhao
Controllable Textual Inversion for Personalized Text-to-Image Generation. CoRR (2023)
Haobo Wang, Yiwen Dong, Ruixuan Xiao, Fei Huang, Gang Chen, Junbo Zhao
Debiased and Denoised Entity Recognition from Distant Supervision. NeurIPS (2023)
Yuan-Peng Zhang, Jingye Guan, Haobo Wang, Kai-Ming Li, Ying Luo, Qun Zhang
Generalized Zero-Shot Space Target Recognition Based on Global-Local Visual Feature Embedding Network. Remote. Sens. 15 (21) (2023)
Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes. AAAI (2023)
Zhiqing Xiao, Haobo Wang, Ying Jin, Lei Feng, Gang Chen, Fei Huang, Junbo Zhao
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation. CoRR (2023)
Ru Peng, Qiuyang Duan, Haobo Wang, Jiachen Ma, Yanbo Jiang, Yongjun Tu, Xiu Jiang, Junbo Zhao
CAME: Contrastive Automated Model Evaluation. CoRR (2023)
Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen
Deep Partial Multi-Label Learning with Graph Disambiguation. IJCAI (2023)
Haobo Wang, Lingyi Wang, Wei Wu
Resource Allocation and Intelligent Trajectory Optimization for UAV-Assisted Semantic Communication System. ICCT (2023)
Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng
iDAG: Invariant DAG Searching for Domain Generalization. ICCV (2023)
Zhiqing Xiao, Haobo Wang, Ying Jin, Lei Feng, Gang Chen, Fei Huang, Junbo Zhao
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation. NeurIPS (2023)
Haobo Wang, Hangyuan Lv, Zhong Luo
Analysis of Mechanical Properties and Fatigue Life of Microturbine Angular Contact Ball Bearings under Eccentric Load Conditions. Sensors 23 (9) (2023)
Renyu Zhu, Haoyu Liu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Haobo Wang
Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective. CoRR (2023)
Ru Peng, Qiuyang Duan, Haobo Wang, Jiachen Ma, Yanbo Jiang, Yongjun Tu, Xiu Jiang, Junbo Zhao
CAME: Contrastive Automated Model Evaluation. ICCV (2023)
Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes. CoRR (2023)
Wentao Ye, Mingfeng Ou, Tianyi Li, Yipeng Chen, Xuetao Ma, Yifan Yanggong, Sai Wu, Jie Fu, Gang Chen, Haobo Wang, Junbo Zhao
Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility. CoRR (2023)
Haobo Wang, Tongguang Yang, Qingkai Han, Zhong Luo
Approach to the Quantitative Diagnosis of Rolling Bearings Based on Optimized VMD and Lempel-Ziv Complexity under Varying Conditions. Sensors 23 (8) (2023)
Yangjie Cao, Haobo Wang, Chenxi Zhu, Yan Zhuang, Jie Li, Xianfu Chen
Improving the Transferability of Adversarial Examples with Diverse Gradients. IJCNN (2023)
Xia Xiao, Jiaying Huang, Haobo Wang, Chengde Zhang, Xinzhong Chen
OpenMetaRec: Open-metapath heterogeneous dual attention network for paper recommendation. Expert Syst. Appl. 231 (2023)
Peng Fu, Yiming Zhang, Haobo Wang, Weikang Qiu, Junbo Zhao
Revisiting the Knowledge Injection Frameworks. CoRR (2023)
Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng
Regression with Cost-based Rejection. CoRR (2023)
Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng
Latent Processes Identification From Multi-View Time Series. IJCAI (2023)
Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng
Latent Processes Identification From Multi-View Time Series. CoRR (2023)
Xiang Wen, Shiwei Zhao, Haobo Wang, Runze Wu, Manhu Qu, Tianlei Hu, Gang Chen, Jianrong Tao, Changjie Fan
Multi-Source Multi-Label Learning for User Profiling in Online Games. IEEE Trans. Multim. 25 (2023)
Guoshan Lu, Haobo Wang, Saisai Yang, Jing Yuan, Guozheng Yang, Cheng Zang, Gang Chen, Junbo Zhao
Catch: Collaborative Feature Set Search for Automated Feature Engineering. WWW (2023)
Haonan Fan, Qin Dong, Naixuan Guo, Jun Xue, Rongrong Zhang, Haobo Wang, Mingfeng Shi
Raspberry Pi-based design of intelligent household classified garbage bin. Internet Things 24 (2023)
Jianan Yang, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao
Towards Controlled Data Augmentations for Active Learning. ICML (2023)
Liyao Li, Haobo Wang, Liangyu Zha, Qingyi Huang, Sai Wu, Gang Chen, Junbo Zhao
Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering. ICLR (2023)
Ruixuan Xiao, Yiwen Dong, Junbo Zhao, Runze Wu, Minmin Lin, Gang Chen, Haobo Wang
FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models. EMNLP (2023)
Haobo Wang, Yinghua Zhou
Image Defogging Method based on Multi-Scale and Frequency Domain Features. ICIAI (2023)
Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen
Deep Partial Multi-Label Learning with Graph Disambiguation. CoRR (2023)
Mingzheng Hou, Ziliang Feng, Haobo Wang, Zhiwei Shen, Sheng Li
An adaptive regression based single-image super-resolution. Multim. Tools Appl. 81 (20) (2022)
Haobo Wang, Mingxuan Xia, Yixuan Li, Yuren Mao, Lei Feng, Gang Chen, Junbo Zhao
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning. CoRR (2022)
Zhuohui Duan, Haobo Wang, Haikun Liu, Xiaofei Liao, Hai Jin, Yu Zhang, Fubing Mao
CLIMBER: defending phase change memory against inconsistent write attacks. DAC (2022)
Congcong Ge, Yunjun Gao, Xiaoye Miao, Bin Yao, Haobo Wang
A Hybrid Data Cleaning Framework Using Markov Logic Networks. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Haobo Wang, Mingxuan Xia, Yixuan Li, Yuren Mao, Lei Feng, Gang Chen, Junbo Zhao
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning. NeurIPS (2022)
Chenxi Zhu, Haobo Wang, Yan Zhuang, Jie Li, Yangjie Cao
A Sparsity-Limitation-Based High-Dimensional Distribution Searching Algorithm for Adversarial Attack. J. Sensors 2022 (2022)
Haobo Wang, Ruixuan Xiao, Yiwen Dong, Lei Feng, Junbo Zhao
ProMix: Combating Label Noise via Maximizing Clean Sample Utility. CoRR (2022)
Yulai Zhao, Haobo Wang, Xiaoguo Gao, Qingkai Han, Yang Liu
Improved Time Synchronous Averaging and Its Application in Data-Driven Rotor Fault Diagnosis. IEEE Trans. Instrum. Meas. 71 (2022)
Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao
PiCO: Contrastive Label Disambiguation for Partial Label Learning. CoRR (2022)
Haobo Wang, Kaiming Li, Xiao-fei Lu, Qun Zhang, Ying Luo, Le Kang
ISAR Resolution Enhancement Method Exploiting Generative Adversarial Network. Remote. Sens. 14 (5) (2022)
Yuren Mao, Yaobo Liang, Nan Duan, Haobo Wang, Kai Wang, Lu Chen, Yunjun Gao
Less-forgetting Multi-lingual Fine-tuning. NeurIPS (2022)
Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao
PiCO: Contrastive Label Disambiguation for Partial Label Learning. ICLR (2022)
Yuhang Ge, Xuegang Hu, Peipei Li, Haobo Wang, Junbo Zhao, Junlong Li
Multi-label Learning with Data Self-augmentation. ICONIP (4) (2022)
Weiwei Liu, Haobo Wang, Xiaobo Shen, Ivor W. Tsang
The Emerging Trends of Multi-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Zhao Li, Yuying Xing, Jiaming Huang, Haobo Wang, Jianliang Gao, Guoxian Yu
Large-scale online multi-view graph neural network and applications. Future Gener. Comput. Syst. 116 (2021)
Shengyuan Liu, Haobo Wang, Tianlei Hu, Ke Chen
Dual Enhancement for Multi-Label Learning with Missing Labels. MLMI (2021)
Abhinav Goel, Caleb Tung, Xiao Hu, Haobo Wang, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu
Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks. CoRR (2021)
Congcong Ge, Yunjun Gao, Xiaoye Miao, Bin Yao, Haobo Wang
A Hybrid Data Cleaning Framework Using Markov Logic Networks (Extended Abstract). ICDE (2021)
Abhinav Goel, Caleb Tung, Xiao Hu, Haobo Wang, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu
Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks. ISLPED (2021)
Haobo Wang, Yuzhou Qiang, Chen Chen, Weiwei Liu, Tianlei Hu, Zhao Li, Gang Chen
Online Partial Label Learning. ECML/PKDD (2) (2020)
Zhao Li, Haobo Wang, Donghui Ding, Shichang Hu, Zhen Zhang, Weiwei Liu, Jianliang Gao, Zhiqiang Zhang, Ji Zhang
Deep Interest-Shifting Network with Meta-Embeddings for Fresh Item Recommendation. Complex. 2020 (2020)
Haobo Wang, Hang Hu, Xinyu Da, Lei Ni, Yu Pan, Yonghui Xu
Secure Transmission Design for Dual-Polarized Satellite System via DL-MPWFRFT and Improved Chaotic Phase Modulation. WCSP (2020)
Haobo Wang, Chen Chen, Weiwei Liu, Ke Chen, Tianlei Hu, Gang Chen
Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification. AAAI (2020)
Weiwei Liu, Xiaobo Shen, Haobo Wang, Ivor W. Tsang
The Emerging Trends of Multi-Label Learning. CoRR (2020)
Jian Zhao, Liang Li, Zhao Xu, Xiaoyu Wang, Haobo Wang, Xianjun Shao
Full-Scale Distribution System Topology Identification Using Markov Random Field. IEEE Trans. Smart Grid 11 (6) (2020)
Haobo Wang, Weiwei Liu, Yang Zhao, Tianlei Hu, Ke Chen, Gang Chen
Learning From Multi-Dimensional Partial Labels. IJCAI (2020)
Junfeng Jiang, Qiushi Chen, Jie Xue, Haobo Wang, Zhijun Chen
A Novel Method about the Representation and Discrimination of Traffic State. Sensors 20 (18) (2020)
Xiao Hu, Haobo Wang, Anirudh Vegesana, Somesh Dube, Kaiwen Yu, Gore Kao, Shuo-Han Chen, Yung-Hsiang Lu, George K. Thiruvathukal, Ming Yin
Crowdsourcing Detection of Sampling Biases in Image Datasets. WWW (2020)
Haobo Wang, Zhao Li, Jiaming Huang, Pengrui Hui, Weiwei Liu, Tianlei Hu, Gang Chen
Collaboration Based Multi-Label Propagation for Fraud Detection. IJCAI (2020)
Zihao Huang, Gang Huang, Zhijun Chen, Chaozhong Wu, Xiaofeng Ma, Haobo Wang
Multi-Regional Online Car-Hailing Order Quantity Forecasting Based on the Convolutional Neural Network. Inf. 10 (6) (2019)
Yunjun Gao, Congcong Ge, Xiaoye Miao, Haobo Wang, Bin Yao, Qing Li
A Hybrid Data Cleaning Framework using Markov Logic Networks. CoRR (2019)
Chen Chen, Haobo Wang, Weiwei Liu, Xingyuan Zhao, Tianlei Hu, Gang Chen
Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification. AAAI (2019)
Haobo Wang, Weiwei Liu, Yang Zhao, Chen Zhang, Tianlei Hu, Gang Chen
Discriminative and Correlative Partial Multi-Label Learning. IJCAI (2019)
Nathan Wong, Ethan Liang, Haobo Wang, Sudarsan V. S. Ranganathan, Richard D. Wesel
Decoding Flash Memory with Progressive Reads and Independent vs. Joint Encoding of Bits in a Cell. GLOBECOM (2019)
Haobo Wang, Sudarsan V. S. Ranganathan, Richard D. Wesel
Variable-Length Coding With Shared Incremental Redundancy: Design Methods and Examples. IEEE Trans. Commun. 67 (9) (2019)
Haobo Wang, Yinliang Yue, Shuibing He, Weiping Wang
KT-Store: A Key-Order and Write-Order Hybrid Key-Value Store with High Write and Range-Query Performance. NPC (2018)
Haobo Wang, Richard D. Wesel
Channel Code Analysis and Design Using Multiple Variable-Length Codes in Parallel without Feedback. GLOBECOM (2018)
Lidong Chen, Yinliang Yue, Haobo Wang, Jianhua Wu
A Priority and Fairness Mixed Compaction Scheduling Mechanism for LSM-tree Based KV-Stores. ICA3PP (1) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Haobo Wang