Junbo Zhao

Orcid: 0000-0002-8498-9666

Affiliations:

Zhejiang University, Zhejiang, China

According to our database¹, Junbo Zhao authored at least 72 papers between 2021 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Other

Bibliography

2025

Reinforcement Learning with Rubric Anchors.

[BibT_eX]

[DOI]

CoRR, August, 2025

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

[BibT_eX]

[DOI]

CoRR, August, 2025

Toward Real-World Table Agents: Capabilities, Workflows, and Design Principles for LLM-based Table Intelligence.

[BibT_eX]

[DOI]

CoRR, July, 2025

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

[BibT_eX]

[DOI]

CoRR, June, 2025

ALPS: Attention Localization and Pruning Strategy for Efficient Alignment of Large Language Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

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

[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

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

Towards Robust Incremental Learning under Ambiguous Supervision.

[BibT_eX]

[DOI]

CoRR, January, 2025

Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

DataMan: Data Manager for Pre-training Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 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

AIGT: AI Generative Table Based on Prompt.

[BibT_eX]

[DOI]

Proceedings of the 31st International Conference on Computational Linguistics, 2025

D.Va: Validate Your Demonstration First Before You Use It.

[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

ALPS: Attention Localization and Pruning Strategy for Efficient Adaptation of Large Language Models.

[BibT_eX]

[DOI]

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

2024

When Quantum Computing Meets Database: A Hybrid Sampling Framework for Approximate Query Processing.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2024

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

[BibT_eX]

[DOI]

Proc. VLDB Endow., August, 2024

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

[BibT_eX]

[DOI]

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

From Laws to Motivation: Guiding Exploration through Law-Based Reasoning and Rewards.

[BibT_eX]

[DOI]

CoRR, 2024

TableGPT2: A Large Multimodal Model with Tabular Data Integration.

[BibT_eX]

[DOI]

CoRR, 2024

A Comparative Study on Reasoning Patterns of OpenAI's o1 Model.

[BibT_eX]

[DOI]

CoRR, 2024

Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2024

Pre-Trained Model Recommendation for Downstream Fine-tuning.

[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 38: Annual Conference on Neural Information Processing Systems 2024, 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

Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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

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

DORY: Deliberative Prompt Recovery for LLM.

[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

SmartLite: A DBMS-based Serving System for DNN Inference in Resource-constrained Environments.

[BibT_eX]

[DOI]

Proc. VLDB Endow., November, 2023

Fuse feeds as one: cross-modal framework for general identification of AMPs.

[BibT_eX]

[DOI]

Briefings Bioinform., September, 2023

Towards Domain-Specific Features Disentanglement for Domain Generalization.

[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

Maybe Only 0.5% Data is Needed: A Preliminary Exploration of Low Training Data Instruction Tuning.

[BibT_eX]

[DOI]

CoRR, 2023

Better Sign Language Translation with Monolingual Data.

[BibT_eX]

[DOI]

Ru Peng

Yawen Zeng

Junbo Zhao

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

ProMix: Combating Label Noise via Maximizing Clean Sample Utility.

[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

2022

Dynamic Index Construction with Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Data Sci. Eng., 2022

Distill the Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine Translation.

[BibT_eX]

[DOI]

Ru Peng

Yawen Zeng

Junbo Zhao

CoRR, 2022

ProMix: Combating Label Noise via Maximizing Clean Sample Utility.

[BibT_eX]

[DOI]

CoRR, 2022

A Sampling-based Learning Framework for Big Databases.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 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

HybridVocab: Towards Multi-Modal Machine Translation via Multi-Aspect Alignment.

[BibT_eX]

[DOI]

Ru Peng

Yawen Zeng

Junbo Zhao

Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

Deps-SAN: Neural Machine Translation with Dependency-Scaled Self-Attention Network.

[BibT_eX]

[DOI]

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

A Comparative Study of in-Database Inference Approaches.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Boosting Neural Machine Translation with Dependency-Scaled Self-Attention Network.

[BibT_eX]

[DOI]

CoRR, 2021

Joining datasets via data augmentation in the label space for neural networks.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Junbo Zhao

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