Zhi Zhou

Orcid: 0000-0001-7408-1200

Affiliations:

Nanjing University, Key Laboratory for Novel Software Technology, Nanjing, China

According to our database¹, Zhi Zhou authored at least 51 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

On the Learnability of Test-Time Adaptation: A Recovery Complexity Perspective.

[BibT_eX]

[DOI]

CoRR, May, 2026

VT-Bench: A Unified Benchmark for Visual-Tabular Multi-Modal Learning.

[BibT_eX]

[DOI]

CoRR, May, 2026

LAST: Leveraging Tools as Hints to Enhance Spatial Reasoning for Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, April, 2026

Thinking with Tables: Enhancing Multi-Modal Tabular Understanding via Neuro-Symbolic Reasoning.

[BibT_eX]

[DOI]

CoRR, March, 2026

NeSy-Route: A Neuro-Symbolic Benchmark for Constrained Route Planning in Remote Sensing.

[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

FormalML: A Benchmark for Evaluating Formal Subgoal Completion in Machine Learning Theory.

[BibT_eX]

[DOI]

CoRR, October, 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

Automated Text-to-Table for Reasoning-Intensive Table QA: Pipeline Design and Benchmarking Insights.

[BibT_eX]

[DOI]

CoRR, May, 2025

NeSyGeo: A Neuro-Symbolic Framework for Multimodal Geometric Reasoning Data Generation.

[BibT_eX]

[DOI]

CoRR, May, 2025

Realistic Evaluation of TabPFN v2 in Open Environments.

[BibT_eX]

[DOI]

CoRR, May, 2025

Micro Text Classification Based on Balanced Positive-Unlabeled Learning.

[BibT_eX]

[DOI]

CoRR, March, 2025

A Smooth Transition Between Induction and Deduction: Fast Abductive Learning Based on Probabilistic Symbol Perception.

[BibT_eX]

[DOI]

CoRR, February, 2025

LawGPT: Knowledge-Guided Data Generation and Its Application to Legal LLM.

[BibT_eX]

[DOI]

CoRR, February, 2025

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

[BibT_eX]

[DOI]

CoRR, February, 2025

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning.

[BibT_eX]

[DOI]

CoRR, February, 2025

Contrast-Aware Calibration for Fine-Tuned CLIP: Leveraging Image-Text Alignment.

[BibT_eX]

[DOI]

CoRR, January, 2025

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environment.

[BibT_eX]

[DOI]

CoRR, January, 2025

Pre-Trained Vision-Language Model Selection and Reuse for Downstream Tasks.

[BibT_eX]

[DOI]

CoRR, January, 2025

A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

CGI: Identifying Conditional Generative Models with Example Images.

[BibT_eX]

[DOI]

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

BMIP: Bi-directional Modality Interaction Prompt Learning for VLM.

[BibT_eX]

[DOI]

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

Fully Test-Time Adaptation for Feature Decrement in Tabular Data.

[BibT_eX]

[DOI]

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

Vision-Language Model Selection and Reuse for Downstream Adaptation.

[BibT_eX]

[DOI]

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

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments.

[BibT_eX]

[DOI]

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

VCSearch: Bridging the Gap Between Well-Defined and Ill-Defined Problems in Mathematical Reasoning.

[BibT_eX]

[DOI]

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

Fully Test-time Adaptation for Tabular Data.

[BibT_eX]

[DOI]

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

2024

Rts: learning robustly from time series data with noisy label.

[BibT_eX]

[DOI]

Zhi Zhou

Yi-Xuan Jin

Yufeng Li

Frontiers Comput. Sci., December, 2024

You Only Submit One Image to Find the Most Suitable Generative Model.

[BibT_eX]

[DOI]

CoRR, 2024

Enabling Small Models for Zero-Shot Classification through Model Label Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Robustness Assessment of Mathematical Reasoning in the Presence of Missing and Contradictory Conditions.

[BibT_eX]

[DOI]

CoRR, 2024

LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model.

[BibT_eX]

[DOI]

CoRR, 2024

LAMDA-SSL: a comprehensive semi-supervised learning toolkit.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2024

Neuro-Symbolic Data Generation for Math Reasoning.

[BibT_eX]

[DOI]

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

LSPAN: Spectrally Localized Augmentation for Graph Consistency Learning.

[BibT_eX]

[DOI]

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

DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection.

[BibT_eX]

[DOI]

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

Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors.

[BibT_eX]

[DOI]

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

Robust Test-Time Adaptation for Zero-Shot Prompt Tuning.

[BibT_eX]

[DOI]

Dingchu Zhang

Zhi Zhou

Yufeng Li

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

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

Identifying Useful Learnwares for Heterogeneous Label Spaces.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

ODS: Test-Time Adaptation in the Presence of Open-World Data Shift.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

USB: A Unified Semi-supervised Learning Benchmark.

[BibT_eX]

[DOI]

CoRR, 2022

LAMDA-SSL: Semi-Supervised Learning in Python.

[BibT_eX]

[DOI]

CoRR, 2022

USB: A Unified Semi-supervised Learning Benchmark for Classification.

[BibT_eX]

[DOI]

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

2021

STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

2020

RECORD: Resource Constrained Semi-Supervised Learning under Distribution Shift.

[BibT_eX]

[DOI]

Lan-Zhe Guo

Zhi Zhou

Yufeng Li

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Zhi Zhou

Timeline

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