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ORCIDHaobo Wang 0001
Person information
- affiliation: Zhejiang University, School of Software Technology, College of Computer Science and Technology, Zhejiang, China
Other persons with the same name
- Haobo Wang — disambiguation page
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2020 – today
- 2025
[j14]Beibei Li, Yiyuan Zheng, Beihong Jin, Tao Xiang, Haobo Wang, Lei Feng:
AsyCo: an asymmetric dual-task co-training model for partial-label learning. Sci. China Inf. Sci. 68(5) (2025)- [j13]Jianan Yang
, Jimin Tan, Haobo Wang, Gang Chen, Sai Wu, Junbo Zhao:
Shift guided active learning. Mach. Learn. 114(2): 36 (2025) - [j12]Jianan Yang, Yanming Zhang, Haobo Wang, Gang Chen, Sai Wu, Junbo Zhao:
CaCOM: customizing text-to-image diffusion models in the wild via continual active selection. Mach. Learn. 114(3): 69 (2025) - [c43]Lin Long, Xijun Gu, Xinjie Sun, Wentao Ye, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao:
Bridging the Semantic Gap Between Text and Table: A Case Study on NL2SQL. ICLR 2025 - [i30]Rui Wang, Mingxuan Xia, Chang Yao, Lei Feng, Junbo Zhao, Gang Chen, Haobo Wang:
Towards Robust Incremental Learning under Ambiguous Supervision. CoRR abs/2501.13584 (2025) - [i29]Shenzhi Yang, Junbo Zhao, Shouqing Yang, Yixuan Li, Dingyu Yang, Xiaofang Zhang, Haobo Wang:
Category-free Out-of-Distribution Node Detection with Feature Resonance. CoRR abs/2502.16076 (2025) - 2024
- [j11]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): 3463-3484 (2024) - [j10]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): 3183-3198 (2024) - [j9]Zhen Zhu, Yibo Wang, Shouqing Yang, Lin Long, Runze Wu, Xiu Tang, Junbo Zhao, Haobo Wang:
CORAL: Collaborative Automatic Labeling System based on Large Language Models. Proc. VLDB Endow. 17(12): 4401-4404 (2024) - [j8]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: 2630-2640 (2024) - [j7]Shengjie Zhou, Senlin Shu, Haobo Wang, Hongxin Wei, Tao Xiang, Beibei Li:
Multiple-Instance Learning from Pairwise Comparison Bags. ACM Trans. Intell. Syst. Technol. 15(6): 127:1-127:22 (2024) - [j6]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): 124:1-124:21 (2024) - [c42]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: 16005-16013 - [c41]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: 5641-5654 - [c40]Wentao Ye, Jiaqi Hu, Liyao Li, Haobo Wang, Gang Chen, Junbo Zhao:
Data Contamination Calibration for Black-box LLMs. ACL (Findings) 2024: 10845-10861 - [c39]Qi Zhang, Yiming Zhang, Haobo Wang, Junbo Zhao:
RECOST: External Knowledge Guided Data-efficient Instruction Tuning. ACL (Findings) 2024: 10911-10921 - [c38]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: 11065-11082 - [c37]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: 7117-7132 - [c36]Ruixuan Xiao, Lei Feng, Kai Tang, Junbo Zhao, Yixuan Li, Gang Chen, Haobo Wang:
Targeted Representation Alignment for Open-World Semi-Supervised Learning. CVPR 2024: 23072-23082 - [c35]Lin Long, Haobo Wang, Zhijie Jiang, Lei Feng, Chang Yao, Gang Chen, Junbo Zhao:
Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation. CVPR 2024: 23138-23147 - [c34]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. EMNLP (Findings) 2024: 10883-10900 - [c33]Ru Peng, Heming Zou, Haobo Wang, Yawen Zeng, Zenan Huang, Junbo Zhao:
Energy-based Automated Model Evaluation. ICLR 2024 - [c32]Mingxuan Xia, Zenan Huang, Runze Wu, Gengyu Lyu, Junbo Zhao, Gang Chen, Haobo Wang:
Unbiased Multi-Label Learning from Crowdsourced Annotations. ICML 2024 - [c31]Gengyu Lyu, Weiqi Kang, Haobo Wang, Zheng Li, Zhen Yang, Songhe Feng:
Common-Individual Semantic Fusion for Multi-View Multi-Label Learning. IJCAI 2024: 4715-4723 - [c30]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: 2364-2375 - [c29]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. NeurIPS 2024 - [c28]Jianan Yang, Chenchao Gao, Zhiqing Xiao, Junbo Zhao, Sai Wu, Gang Chen, Haobo Wang:
Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild. NeurIPS 2024 - [c27]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: 4449-4459 - [i28]Ru Peng, Heming Zou, Haobo Wang, Yawen Zeng, Zenan Huang, Junbo Zhao:
Energy-based Automated Model Evaluation. CoRR abs/2401.12689 (2024) - [i27]Qi Wei, Lei Feng, Haobo Wang, Bo An:
Debiased Sample Selection for Combating Noisy Labels. CoRR abs/2401.13360 (2024) - [i26]Qi Zhang, Yiming Zhang, Haobo Wang, Junbo Zhao:
RECOST: External Knowledge Guided Data-efficient Instruction Tuning. CoRR abs/2402.17355 (2024) - [i25]Wentao Ye, Jiaqi Hu, Liyao Li, Haobo Wang, Gang Chen, Junbo Zhao:
Data Contamination Calibration for Black-box LLMs. CoRR abs/2405.11930 (2024) - [i24]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 abs/2406.04299 (2024) - [i23]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 abs/2406.14884 (2024) - [i22]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 abs/2406.15126 (2024) - [i21]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 abs/2407.15036 (2024) - [i20]Aofeng Su, Aowen Wang, Chao Ye, Chen Zhou, Ga Zhang, Gang Chen, Guangcheng Zhu, Haobo Wang, Haokai Xu, Hao Chen, Haoze Li, Haoxuan Lan, Jiaming Tian, Jing Yuan, Junbo Zhao, Junlin Zhou, Kaizhe Shou, Liangyu Zha, Lin Long, Liyao Li, Pengzuo Wu, Qi Zhang, Qingyi Huang, Saisai Yang, Tao Zhang, Wentao Ye, Wufang Zhu, Xiaomeng Hu, Xijun Gu, Xinjie Sun, Xiang Li, Yuhang Yang, Zhiqing Xiao:
TableGPT2: A Large Multimodal Model with Tabular Data Integration. CoRR abs/2411.02059 (2024) - 2023
- [j5]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: 4135-4147 (2023) - [c26]Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng:
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes. AAAI 2023: 9829-9836 - [c25]Peng Fu, Yiming Zhang, Haobo Wang, Weikang Qiu, Junbo Zhao:
Revisiting the Knowledge Injection Frameworks. EMNLP 2023: 10983-10997 - [c24]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: 14520-14535 - [c23]Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng:
iDAG: Invariant DAG Searching for Domain Generalization. ICCV 2023: 19112-19122 - [c22]Ru Peng, Qiuyang Duan, Haobo Wang, Jiachen Ma, Yanbo Jiang, Yongjun Tu, Xiu Jiang, Junbo Zhao:
CAME: Contrastive Automated Model Evaluation. ICCV 2023: 20064-20075 - [c21]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 - [c20]Jianan Yang, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao:
Towards Controlled Data Augmentations for Active Learning. ICML 2023: 39524-39542 - [c19]Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng:
Latent Processes Identification From Multi-View Time Series. IJCAI 2023: 3848-3856 - [c18]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: 4308-4316 - [c17]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: 4442-4450 - [c16]Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng:
Regression with Cost-based Rejection. NeurIPS 2023 - [c15]Haobo Wang, Yiwen Dong, Ruixuan Xiao, Fei Huang, Gang Chen, Junbo Zhao:
Debiased and Denoised Entity Recognition from Distant Supervision. NeurIPS 2023 - [c14]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 - [c13]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: 1886-1896 - [i19]Jianan Yang, Haobo Wang, Ruixuan Xiao, Sai Wu, Gang Chen, Junbo Zhao:
Controllable Textual Inversion for Personalized Text-to-Image Generation. CoRR abs/2304.05265 (2023) - [i18]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 abs/2305.05882 (2023) - [i17]Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng:
Latent Processes Identification From Multi-View Time Series. CoRR abs/2305.08164 (2023) - [i16]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 abs/2305.10235 (2023) - [i15]Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng:
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes. CoRR abs/2306.06894 (2023) - [i14]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 abs/2307.04308 (2023) - [i13]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 abs/2307.08674 (2023) - [i12]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 abs/2307.16889 (2023) - [i11]Ru Peng, Qiuyang Duan, Haobo Wang, Jiachen Ma, Yanbo Jiang, Yongjun Tu, Xiu Jiang, Junbo Zhao:
CAME: Contrastive Automated Model Evaluation. CoRR abs/2308.11111 (2023) - [i10]Hao Chen, Qi Zhang, Zenan Huang, Haobo Wang, Junbo Zhao:
Towards Domain-Specific Features Disentanglement for Domain Generalization. CoRR abs/2310.03007 (2023) - [i9]Zhiqing Xiao, Haobo Wang, Ying Jin, Lei Feng, Gang Chen, Fei Huang, Junbo Zhao:
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation. CoRR abs/2310.17594 (2023) - [i8]Peng Fu, Yiming Zhang, Haobo Wang, Weikang Qiu, Junbo Zhao:
Revisiting the Knowledge Injection Frameworks. CoRR abs/2311.01150 (2023) - [i7]Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng:
Regression with Cost-based Rejection. CoRR abs/2311.04550 (2023) - [i6]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 abs/2311.15614 (2023) - 2022
- [j4]Weiwei Liu, Haobo Wang, Xiaobo Shen, Ivor W. Tsang:
The Emerging Trends of Multi-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7955-7974 (2022) - [j3]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): 2048-2062 (2022) - [c12]Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao:
PiCO: Contrastive Label Disambiguation for Partial Label Learning. ICLR 2022 - [c11]Yuhang Ge, Xuegang Hu, Peipei Li, Haobo Wang, Junbo Zhao, Junlong Li:
Multi-label Learning with Data Self-augmentation. ICONIP (4) 2022: 336-347 - [c10]Yuren Mao, Yaobo Liang, Nan Duan, Haobo Wang, Kai Wang, Lu Chen, Yunjun Gao:
Less-forgetting Multi-lingual Fine-tuning. NeurIPS 2022 - [c9]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 - [i5]Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao:
PiCO: Contrastive Label Disambiguation for Partial Label Learning. CoRR abs/2201.08984 (2022) - [i4]Haobo Wang, Ruixuan Xiao, Yiwen Dong, Lei Feng, Junbo Zhao:
ProMix: Combating Label Noise via Maximizing Clean Sample Utility. CoRR abs/2207.10276 (2022) - [i3]Haobo Wang, Mingxuan Xia, Yixuan Li, Yuren Mao, Lei Feng, Gang Chen, Junbo Zhao:
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning. CoRR abs/2209.10365 (2022) - 2021
- [j2]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: 145-155 (2021) - [c8]Congcong Ge, Yunjun Gao, Xiaoye Miao, Bin Yao, Haobo Wang:
A Hybrid Data Cleaning Framework Using Markov Logic Networks (Extended Abstract). ICDE 2021: 2344-2345 - [c7]Shengyuan Liu, Haobo Wang, Tianlei Hu, Ke Chen:
Dual Enhancement for Multi-Label Learning with Missing Labels. MLMI 2021: 177-183 - 2020
- [j1]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: 8828087:1-8828087:13 (2020) - [c6]Haobo Wang, Chen Chen, Weiwei Liu, Ke Chen, Tianlei Hu, Gang Chen:
Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification. AAAI 2020: 6178-6185 - [c5]Haobo Wang, Zhao Li, Jiaming Huang, Pengrui Hui, Weiwei Liu, Tianlei Hu, Gang Chen:
Collaboration Based Multi-Label Propagation for Fraud Detection. IJCAI 2020: 2477-2483 - [c4]Haobo Wang, Weiwei Liu, Yang Zhao, Tianlei Hu, Ke Chen, Gang Chen:
Learning From Multi-Dimensional Partial Labels. IJCAI 2020: 2943-2949 - [c3]Haobo Wang, Yuzhou Qiang, Chen Chen, Weiwei Liu, Tianlei Hu, Zhao Li, Gang Chen:
Online Partial Label Learning. ECML/PKDD (2) 2020: 455-470 - [i2]Weiwei Liu, Xiaobo Shen, Haobo Wang, Ivor W. Tsang:
The Emerging Trends of Multi-Label Learning. CoRR abs/2011.11197 (2020)
2010 – 2019
- 2019
- [c2]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: 3304-3311 - [c1]Haobo Wang, Weiwei Liu, Yang Zhao, Chen Zhang, Tianlei Hu, Gang Chen:
Discriminative and Correlative Partial Multi-Label Learning. IJCAI 2019: 3691-3697 - [i1]Yunjun Gao, Congcong Ge, Xiaoye Miao, Haobo Wang, Bin Yao, Qing Li:
A Hybrid Data Cleaning Framework using Markov Logic Networks. CoRR abs/1903.05826 (2019)
Coauthor Index
[j13] [j12] [c43] [i30] [i29] [j10] [j9] [c42] [c41] [c40] [c39] [c38] [c36] [c35] [c34] [c33] [c32] [c28] [c27] [i28] [i26] [i25] [i23] [i22] [i20] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c17] [c15] [c14] [c13] [i19] [i17] [i16] [i14] [i13] [i11] [i10] [i9] [i8] [i6] [c12] [c11] [c9] [i5] [i4] [i3]
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