Jie-Jing Shao

Orcid: 0000-0001-8107-114X

According to our database¹, Jie-Jing Shao authored at least 29 papers between 2021 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2026

Revisiting the Travel Planning Capabilities of Large Language Models.

[BibT_eX]

[DOI]

CoRR, May, 2026

Lifting Traces to Logic: Programmatic Skill Induction with Neuro-Symbolic Learning for Long-Horizon Agentic Tasks.

[BibT_eX]

[DOI]

CoRR, May, 2026

Hindsight Credit Assignment for Long-Horizon LLM Agents.

[BibT_eX]

[DOI]

CoRR, March, 2026

Step Back to Leap Forward: Self-Backtracking for Symbolic Reasoning and Planning in Language Models.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Pianist Transformer: Towards Expressive Piano Performance Rendering via Scalable Self-Supervised Pre-Training.

[BibT_eX]

[DOI]

CoRR, December, 2025

Robust semi-supervised learning in open environments.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., August, 2025

When Is Prior Knowledge Helpful? Exploring the Evaluation and Selection of Unsupervised Pretext Tasks from a Neuro-Symbolic Perspective.

[BibT_eX]

[DOI]

CoRR, August, 2025

Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models.

[BibT_eX]

[DOI]

CoRR, February, 2025

Abductive Learning for Neuro-Symbolic Grounded Imitation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models.

[BibT_eX]

[DOI]

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

Curriculum Abductive Learning for Mitigating Reasoning Shortcuts.

[BibT_eX]

[DOI]

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

Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models.

[BibT_eX]

[DOI]

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

Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible.

[BibT_eX]

[DOI]

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

2024

Open-set learning under covariate shift.

[BibT_eX]

[DOI]

Jie-Jing Shao

Xiaowen Yang

Lan-Zhe Guo

Mach. Learn., April, 2024

Robust Semi-Supervised Learning in Open Environments.

[BibT_eX]

[DOI]

CoRR, 2024

ChinaTravel: A Real-World Benchmark for Language Agents in Chinese Travel Planning.

[BibT_eX]

[DOI]

CoRR, 2024

Learning for Long-Horizon Planning via Neuro-Symbolic Abductive Imitation.

[BibT_eX]

[DOI]

CoRR, 2024

Offline Imitation Learning with Model-based Reverse Augmentation.

[BibT_eX]

[DOI]

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

Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts.

[BibT_eX]

[DOI]

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

Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts.

[BibT_eX]

[DOI]

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

Safe Abductive Learning in the Presence of Inaccurate Rules.

[BibT_eX]

[DOI]

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

2023

Investigating the Limitation of CLIP Models: The Worst-Performing Categories.

[BibT_eX]

[DOI]

CoRR, 2023

Parameter-Efficient Long-Tailed Recognition.

[BibT_eX]

[DOI]

CoRR, 2023

Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

LOG: Active Model Adaptation for Label-Efficient OOD Generalization.

[BibT_eX]

[DOI]

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

Robust Semi-Supervised Learning when Not All Classes have Labels.

[BibT_eX]

[DOI]

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

Active Model Adaptation Under Unknown Shift.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability Judgment.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Towards Robust Model Reuse in the Presence of Latent Domains.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Jie-Jing Shao

Timeline

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On csauthors.net:

Bibliography

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