Haobo Wang

Orcid: 0000-0001-8586-3048

Affiliations:

Zhejiang University, School of Software Technology, College of Computer Science and Technology, Zhejiang, China

According to our database¹, Haobo Wang authored at least 114 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Hyperbolic Enhanced Representation Learning for Incomplete Multi-view Clustering.

[BibT_eX]

[DOI]

CoRR, April, 2026

Can LLMs Learn to Reason Robustly under Noisy Supervision?

[BibT_eX]

[DOI]

CoRR, April, 2026

Toward real-world Table Agents: capabilities, workflows, and design principles for LLM-based table intelligence.

[BibT_eX]

[DOI]

World Wide Web (WWW), March, 2026

LADA: Label Disambiguation and Domain-Aware Learning for Domain Generalization.

[BibT_eX]

[DOI]

Mach. Learn., March, 2026

W2S: Weak-to-Strong Prompt Correction for Large Language Models.

[BibT_eX]

[DOI]

Mach. Learn., March, 2026

FastBUS: A Fast Bayesian Framework for Unified Weakly-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, March, 2026

Stop Unnecessary Reflection: Training LRMs for Efficient Reasoning with Adaptive Reflection and Length Coordinated Penalty.

[BibT_eX]

[DOI]

CoRR, February, 2026

Supervised Fine-Tuning Needs to Unlock the Potential of Token Priority.

[BibT_eX]

[DOI]

CoRR, February, 2026

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping.

[BibT_eX]

[DOI]

CoRR, January, 2026

A Syllogistic Probe: Tracing the Evolution of Logic Reasoning in Large Language Models.

[BibT_eX]

[DOI]

CoRR, January, 2026

Semantic Web-Based Latent Alignment and Label Propagation Model for Multi-Label Learning with Missing Labels.

[BibT_eX]

[DOI]

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2026

Reinforcement Learning with Verbalized Probabilities for LLM Classification.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

Bridge-SQL: Bridging Single- and Multi-Turn Text-to-SQL via Preference-Aligned Question Rewriting.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2026

Dual Graph Disambiguation for Multi-Instance Partial-Label Learning.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

An Invariant Latent Space Perspective on Language Model Inversion.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Group-aware Multiscale Ensemble Learning for Test-Time Multimodal Sentiment Analysis.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

GMCoT: a graph-augmented multimodal chain-of-thought reasoning framework for multi-label zero-shot learning.

[BibT_eX]

[DOI]

Frontiers Inf. Technol. Electron. Eng., December, 2025

TableGPT-R1: Advancing Tabular Reasoning Through Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, December, 2025

TraPO: A Semi-Supervised Reinforcement Learning Framework for Boosting LLM Reasoning.

[BibT_eX]

[DOI]

CoRR, December, 2025

Table as a Modality for Large Language Models.

[BibT_eX]

[DOI]

CoRR, December, 2025

Simplified Graph Contrastive Learning Model Without Augmentation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., October, 2025

SPA++: Generalized Graph Spectral Alignment for Versatile Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, August, 2025

CoLA: Model Collaboration for Log-based Anomaly Detection.

[BibT_eX]

[DOI]

Proc. VLDB Endow., July, 2025

The Effects of Data Augmentation on Confidence Estimation for LLMs.

[BibT_eX]

[DOI]

CoRR, June, 2025

FLoE: Fisher-Based Layer Selection for Efficient Sparse Adaptation of Low-Rank Experts.

[BibT_eX]

[DOI]

CoRR, June, 2025

Adaptive Thinking via Mode Policy Optimization for Social Language Agents.

[BibT_eX]

[DOI]

CoRR, May, 2025

CaCOM: customizing text-to-image diffusion models in the wild via continual active selection.

[BibT_eX]

[DOI]

Mach. Learn., March, 2025

How to Steer LLM Latents for Hallucination Detection?

[BibT_eX]

[DOI]

CoRR, March, 2025

Category-free Out-of-Distribution Node Detection with Feature Resonance.

[BibT_eX]

[DOI]

CoRR, February, 2025

Shift guided active learning.

[BibT_eX]

[DOI]

Mach. Learn., January, 2025

AsyCo: an asymmetric dual-task co-training model for partial-label learning.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2025

Towards Robust Incremental Learning Under Ambiguous Supervision.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

A Timestep-Adaptive Frequency-Enhancement Framework for Diffusion-based Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Tensorized Multi-View Multi-Label Classification via Laplace Tensor Rank.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Steer LLM Latents for Hallucination Detection.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Representation Surgery in Model Merging with Probabilistic Modeling.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Bridging the Semantic Gap Between Text and Table: A Case Study on NL2SQL.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Enhance Multi-View Classification Through Multi-Scale Alignment and Expanded Boundary.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Ensembling Prompting Strategies for Zero-Shot Hierarchical Text Classification with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Towards Reverse Engineering of Language Models: A Survey.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Towards Transferable Personality Representation Learning based on Triplet Comparisons and Its Applications.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

CrowdAgent: Multi-Agent Managed Multi-Source Annotation System.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

LongTableBench: Benchmarking Long-Context Table Reasoning across Real-World Formats and Domains.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Large Margin Representation Learning for Robust Cross-lingual Named Entity Recognition.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

RealHiTBench: A Comprehensive Realistic Hierarchical Table Benchmark for Evaluating LLM-Based Table Analysis.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Multi-Instance Multi-Label Classification from Crowdsourced Labels.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Multiple-Instance Learning from Pairwise Comparison Bags.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., December, 2024

CORAL: Collaborative Automatic Labeling System based on Large Language Models.

[BibT_eX]

[DOI]

Proc. VLDB Endow., August, 2024

On the Value of Head Labels in Multi-Label Text Classification.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, June, 2024

Online binary classification from similar and dissimilar data.

[BibT_eX]

[DOI]

Mach. Learn., June, 2024

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

[BibT_eX]

[DOI]

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

Learning Label-Adaptive Representation for Large-Scale Multi-Label Text Classification.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2024

TableGPT2: A Large Multimodal Model with Tabular Data Integration.

[BibT_eX]

[DOI]

CoRR, 2024

Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond.

[BibT_eX]

[DOI]

CoRR, 2024

Debiased Sample Selection for Combating Noisy Labels.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Cross-Table Masked Pretraining for Web Data Mining.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

CoMAL: Contrastive Active Learning for Multi-Label Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Common-Individual Semantic Fusion for Multi-View Multi-Label Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Unbiased Multi-Label Learning from Crowdsourced Annotations.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Energy-based Automated Model Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Targeted Representation Alignment for Open-World Semi-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Fast Adaptation via Prompted Data: An Efficient Cross-Domain Fine-tuning Method for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

RECOST: External Knowledge Guided Data-efficient Instruction Tuning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Data Contamination Calibration for Black-box LLMs.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Learning Geometry-Aware Representations for New Intent Discovery.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

[BibT_eX]

[DOI]

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

2023

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

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Towards Domain-Specific Features Disentanglement for Domain Generalization.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Catch: Collaborative Feature Set Search for Automated Feature Engineering.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

SPA: A Graph Spectral Alignment Perspective for Domain Adaptation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Regression with Cost-based Rejection.

[BibT_eX]

[DOI]

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

ProMix: Combating Label Noise via Maximizing Clean Sample Utility.

[BibT_eX]

[DOI]

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

Deep Partial Multi-Label Learning with Graph Disambiguation.

[BibT_eX]

[DOI]

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

Latent Processes Identification From Multi-View Time Series.

[BibT_eX]

[DOI]

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

Towards Controlled Data Augmentations for Active Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

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

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CAME: Contrastive Automated Model Evaluation.

[BibT_eX]

[DOI]

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

iDAG: Invariant DAG Searching for Domain Generalization.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Revisiting the Knowledge Injection Frameworks.

[BibT_eX]

[DOI]

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

A Generalized Unbiased Risk Estimator for Learning with Augmented Classes.

[BibT_eX]

[DOI]

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

2022

A Hybrid Data Cleaning Framework Using Markov Logic Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

The Emerging Trends of Multi-Label Learning.

[BibT_eX]

[DOI]

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

ProMix: Combating Label Noise via Maximizing Clean Sample Utility.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

PiCO: Contrastive Label Disambiguation for Partial Label Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

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

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2021

Dual Enhancement for Multi-Label Learning with Missing Labels.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2020

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

[BibT_eX]

[DOI]

Complex., 2020

Online Partial Label Learning.

[BibT_eX]

[DOI]

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

Collaboration Based Multi-Label Propagation for Fraud Detection.

[BibT_eX]

[DOI]

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

Learning From Multi-Dimensional Partial Labels.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2019

A Hybrid Data Cleaning Framework using Markov Logic Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Discriminative and Correlative Partial Multi-Label Learning.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Haobo Wang

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