Zizhao Zhang

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

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Bibliography

2026
CondenseGraph: Communication-Efficient Distributed GNN Training via On-the-Fly Graph Condensation.
CoRR, January, 2026

Causal inference-based knowledge graph completion using multi-head attention for fault diagnosis.
Knowl. Based Syst., 2026

Graph-structured data analysis of component failure in autonomous cargo ships based on feature fusion.
Inf. Softw. Technol., 2026

2025
COMPASS: Enhancing Agent Long-Horizon Reasoning with Evolving Context.
CoRR, October, 2025

Deep Researcher with Test-Time Diffusion.
CoRR, July, 2025

The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input.
CoRR, January, 2025

Research on constructing and reasoning the collision knowledge graph of autonomous navigation ship based on enhanced BERT model.
Expert Syst. Appl., 2025

SkillVerse : Assessing and Enhancing LLMs with Tree Evaluation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs.
CoRR, 2024

Large Language Model Assisted Experiment Design with Generative Human-Behavior Agents.
Proceedings of the Winter Simulation Conference, 2024

Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

MMPGCN: Multi-hop Message Passing Graph Convolutional Network for Knowledge Graph Completion.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

CodecLM: Aligning Language Models with Tailored Synthetic Data.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

OpenResearcher: Unleashing AI for Accelerated Scientific Research.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2023
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation.
Medical Image Anal., December, 2023

Plant image recognition with deep learning: A review.
Comput. Electron. Agric., September, 2023

Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning.
CoRR, 2023

StraIT: Non-autoregressive Generation with Stratified Image Transformer.
CoRR, 2023

Unifying Distribution Alignment as a Loss for Imbalanced Semi-supervised Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

AutoGT: Automated Graph Transformer Architecture Search.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

ScalableMap: Scalable Map Learning for Online Long-Range Vectorized HD Map Construction.
Proceedings of the Conference on Robot Learning, 2023

QueryForm: A Simple Zero-shot Form Entity Query Framework.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Exploit Customer Life-time Value with Memoryless Experiments.
CoRR, 2022

Learning Instance-Specific Adaptation for Cross-Domain Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Prompt for Continual Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Aggregating Nested Transformers.
CoRR, 2021

Improved Transformer for High-Resolution GANs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

PseudoSeg: Designing Pseudo Labels for Semantic Segmentation.
Proceedings of the 9th International Conference on Learning Representations, 2021

Learning Fast Sample Re-weighting Without Reward Data.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Improved Consistency Regularization for GANs.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Image Augmentations for GAN Training.
CoRR, 2020

A Simple Semi-Supervised Learning Framework for Object Detection.
CoRR, 2020

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Consistency Regularization for Generative Adversarial Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

Distance-Based Learning from Errors for Confidence Calibration.
Proceedings of the 8th International Conference on Learning Representations, 2020

Consistency-Based Semi-supervised Active Learning: Towards Minimizing Labeling Cost.
Proceedings of the Computer Vision - ECCV 2020, 2020

Distilling Effective Supervision From Severe Label Noise.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
IEG: Robust Neural Network Training to Tackle Severe Label Noise.
CoRR, 2019

2018
Photographic Text-to-Image Synthesis With a Hierarchically-Nested Adversarial Network.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018


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