Fan Nie

Orcid: 0009-0001-6867-498X

According to our database¹, Fan Nie authored at least 37 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2026

F2Mamba: Forgery-Guided Vision Mamba With Multi-Scale Frequency Perception for General Image Forgery Localization.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., June, 2026

Automated Benchmark Auditing for AI Agents and Large Language Models.

[BibT_eX]

[DOI]

CoRR, May, 2026

Peer-Predictive Self-Training for Language Model Reasoning.

[BibT_eX]

[DOI]

CoRR, April, 2026

Physion-Eval: Evaluating Physical Realism in Generated Video via Human Reasoning.

[BibT_eX]

[DOI]

CoRR, March, 2026

Optimizing Neural Network Architecture for Medical Image Segmentation Using Monte Carlo Tree Search.

[BibT_eX]

[DOI]

CoRR, February, 2026

DSGym: A Holistic Framework for Evaluating and Training Data Science Agents.

[BibT_eX]

[DOI]

CoRR, January, 2026

Toward Generalizable Deepfake Detection via Forgery-Aware Audio-Visual Adaptation: A Variational Bayesian Approach.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2026

2025

Towards Generalizable Deepfake Detection via Forgery-aware Audio-Visual Adaptation: A Variational Bayesian Approach.

[BibT_eX]

[DOI]

CoRR, November, 2025

When Visualizing is the First Step to Reasoning: MIRA, a Benchmark for Visual Chain-of-Thought.

[BibT_eX]

[DOI]

CoRR, November, 2025

UQ: Assessing Language Models on Unsolved Questions.

[BibT_eX]

[DOI]

CoRR, August, 2025

AR: An Efficient Alliance Root Service with Decentralized Trust.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., July, 2025

EvoLM: In Search of Lost Language Model Training Dynamics.

[BibT_eX]

[DOI]

CoRR, June, 2025

Weak-for-Strong: Training Weak Meta-Agent to Harness Strong Executors.

[BibT_eX]

[DOI]

CoRR, April, 2025

Domain-invariant and Patch-discriminative Feature Learning for General Deepfake Detection.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., February, 2025

DIP: Diffusion Learning of Inconsistency Pattern for General DeepFake Detection.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2025

DSM: Domain Shift Modeling for general deepfake detection.

[BibT_eX]

[DOI]

Jian Zhang

Jiangqun Ni

Fan Nie

Signal Process., 2025

NanoFilter: enhancing phasing performance by utilizing highly consistent INDELs and SNVs in nanopore sequencing.

[BibT_eX]

[DOI]

Shanming Chen

Fan Nie

Jianxin Wang

Bioinform., 2025

Generalizing Motion Planners with Mixture of Experts for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees.

[BibT_eX]

[DOI]

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

TAROT: Targeted Data Selection via Optimal Transport.

[BibT_eX]

[DOI]

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

2024

Ualign: pushing the limit of template-free retrosynthesis prediction with unsupervised SMILES alignment.

[BibT_eX]

[DOI]

J. Cheminformatics, December, 2024

Phasing nanopore genome assembly by integrating heterozygous variations and Hi-C data.

[BibT_eX]

[DOI]

Bioinform., 2024

Graph Out-of-Distribution Generalization via Causal Intervention.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

FRADE: Forgery-aware Audio-distilled Multimodal Learning for Deepfake Detection.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Learning Divergence Fields for Shift-Robust Graph Representations.

[BibT_eX]

[DOI]

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

Uncertainty-Aware Decision Transformer for Stochastic Driving Environments.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

Why Increase of Heterogeneity Signals Pre-Deterioration During Tumor Progression: A Unified Mathematical Model.

[BibT_eX]

[DOI]

SIAM J. Appl. Math., April, 2023

NanoSNP: a progressive and haplotype-aware SNP caller on low-coverage nanopore sequencing data.

[BibT_eX]

[DOI]

Bioinform., January, 2023

Advective Diffusion Transformers for Topological Generalization in Graph Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Simplifying and Empowering Transformers for Large-Graph Representations.

[BibT_eX]

[DOI]

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

2022

SACall: A Neural Network Basecaller for Oxford Nanopore Sequencing Data Based on Self-Attention Mechanism.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Fec: a fast error correction method based on two-rounds overlapping and caching.

[BibT_eX]

[DOI]

Bioinform., 2022

BlockPolish: accurate polishing of long-read assembly via block divide-and-conquer.

[BibT_eX]

[DOI]

Briefings Bioinform., 2022

GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs.

[BibT_eX]

[DOI]

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

2021

NeuralPolish: a novel Nanopore polishing method based on alignment matrix construction and orthogonal Bi-GRU Networks.

[BibT_eX]

[DOI]

Bioinform., 2021

2019

An attention-based neural network basecaller for Oxford Nanopore sequencing data.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Fan Nie

Timeline

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Links

On csauthors.net:

Bibliography

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