Fan Nie

44 papers A* 9Misc 1Journal 33Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
DSGym: A Holistic Framework for Evaluating and Training Data Science Agents.
CoRR
Fan Nie, Junlin Wang, Harper Hua, Federico Bianchi, Yongchan Kwon, Zhenting Qi, Owen Queen, Shang Zhu, James Zou
2026 J jnl
Optimizing Neural Network Architecture for Medical Image Segmentation Using Monte Carlo Tree Search.
CoRR
Liping Meng, Fan Nie, Yunyun Zhang, Chao Han
2026 J jnl
Physion-Eval: Evaluating Physical Realism in Generated Video via Human Reasoning.
CoRR
Qin Zhang, Peiyu Jing, Hong-Xing Yu, Fangqiang Ding, Fan Nie, Weimin Wang, Yilun Du, James Zou, Jiajun Wu, Bing Shuai
2026 J jnl
Toward Generalizable Deepfake Detection via Forgery-Aware Audio-Visual Adaptation: A Variational Bayesian Approach.
IEEE Trans. Inf. Forensics Secur.
Fan Nie, Jiangqun Ni, Jian Zhang, Bin Zhang, Weizhe Zhang, Bin Li
2025 J jnl
AR: An Efficient Alliance Root Service with Decentralized Trust.
J. Comput. Sci. Technol.
Bin Zhang, Yu Zhang, Yuming Feng, Wei-Zhe Zhang, Dongcen Ji, Fan Nie
2025 J jnl
DIP: Diffusion Learning of Inconsistency Pattern for General DeepFake Detection.
IEEE Trans. Multim.
Fan Nie, Jiangqun Ni, Jian Zhang, Bin Zhang, Weizhe Zhang
2025 J jnl
DSM: Domain Shift Modeling for general deepfake detection.
Signal Process.
Jian Zhang, Jiangqun Ni, Fan Nie
2025 J jnl
Domain-invariant and Patch-discriminative Feature Learning for General Deepfake Detection.
ACM Trans. Multim. Comput. Commun. Appl.
Jian Zhang, Jiangqun Ni, Fan Nie, Jiwu Huang
2025 J jnl
EvoLM: In Search of Lost Language Model Training Dynamics.
CoRR
Zhenting Qi, Fan Nie, Alexandre Alahi, James Zou, Himabindu Lakkaraju, Yilun Du, Eric P. Xing, Sham M. Kakade, Hanlin Zhang
2025 A* conf
FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees.
ICML
Fan Nie, Xiaotian Hou, Shuhang Lin, James Zou, Huaxiu Yao, Linjun Zhang
2025 A* conf
Generalizing Motion Planners with Mixture of Experts for Autonomous Driving.
ICRA
Qiao Sun, Huimin Wang, Jiahao Zhan, Fan Nie, Xin Wen, Leimeng Xu, Kun Zhan, Peng Jia, Xianpeng Lang, Hang Zhao
2025 J jnl
NanoFilter: enhancing phasing performance by utilizing highly consistent INDELs and SNVs in nanopore sequencing.
Bioinform.
Shanming Chen, Fan Nie, Jianxin Wang
2025 A* conf
TAROT: Targeted Data Selection via Optimal Transport.
ICML
Lan Feng, Fan Nie, Yuejiang Liu, Alexandre Alahi
2025 J jnl
Towards Generalizable Deepfake Detection via Forgery-aware Audio-Visual Adaptation: A Variational Bayesian Approach.
CoRR
Fan Nie, Jiangqun Ni, Jian Zhang, Bin Zhang, Weizhe Zhang, Bin Li
2025 J jnl
UQ: Assessing Language Models on Unsolved Questions.
CoRR
Fan Nie, Ken Ziyu Liu, Zihao Wang, Rui Sun, Wei Liu, Weijia Shi, Huaxiu Yao, Linjun Zhang, Andrew Y. Ng, James Zou, Sanmi Koyejo, Yejin Choi, Percy Liang, Niklas Muennighoff
2025 J jnl
Weak-for-Strong: Training Weak Meta-Agent to Harness Strong Executors.
CoRR
Fan Nie, Lan Feng, Haotian Ye, Weixin Liang, Pan Lu, Huaxiu Yao, Alexandre Alahi, James Zou
2025 J jnl
When Visualizing is the First Step to Reasoning: MIRA, a Benchmark for Visual Chain-of-Thought.
CoRR
Yiyang Zhou, Haoqin Tu, Zijun Wang, Zeyu Wang, Niklas Muennighoff, Fan Nie, Yejin Choi, James Zou, Chaorui Deng, Shen Yan, Haoqi Fan, Cihang Xie, Huaxiu Yao, Qinghao Ye
2024 A* conf
Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills.
ICRA
Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao
2024 J jnl
DIP: Diffusion Learning of Inconsistency Pattern for General DeepFake Detection.
CoRR
Fan Nie, Jiangqun Ni, Jian Zhang, Bin Zhang, Weizhe Zhang
2024 A* conf
FRADE: Forgery-aware Audio-distilled Multimodal Learning for Deepfake Detection.
ACM Multimedia
Fan Nie, Jiangqun Ni, Jian Zhang, Bin Zhang, Weizhe Zhang
2024 J jnl
FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees.
CoRR
Fan Nie, Xiaotian Hou, Shuhang Lin, James Zou, Huaxiu Yao, Linjun Zhang
2024 J jnl
Generalizing Motion Planners with Mixture of Experts for Autonomous Driving.
CoRR
Qiao Sun, Huimin Wang, Jiahao Zhan, Fan Nie, Xin Wen, Leimeng Xu, Kun Zhan, Peng Jia, Xianpeng Lang, Hang Zhao
2024 A* conf
Graph Out-of-Distribution Generalization via Causal Intervention.
WWW
Qitian Wu, Fan Nie, Chenxiao Yang, Tianyi Bao, Junchi Yan
2024 J jnl
Graph Out-of-Distribution Generalization via Causal Intervention.
CoRR
Qitian Wu, Fan Nie, Chenxiao Yang, Tianyi Bao, Junchi Yan
2024 A* conf
Learning Divergence Fields for Shift-Robust Graph Representations.
ICML
Qitian Wu, Fan Nie, Chenxiao Yang, Junchi Yan
2024 J jnl
Learning Divergence Fields for Shift-Robust Graph Representations.
CoRR
Qitian Wu, Fan Nie, Chenxiao Yang, Junchi Yan
2024 J jnl
Phasing nanopore genome assembly by integrating heterozygous variations and Hi-C data.
Bioinform.
Jun Zhang, Fan Nie, Feng Luo, Jianxin Wang
2024 J jnl
TAROT: Targeted Data Selection via Optimal Transport.
CoRR
Lan Feng, Fan Nie, Yuejiang Liu, Alexandre Alahi
2024 J jnl
UAlign: Pushing the Limit of Template-free Retrosynthesis Prediction with Unsupervised SMILES Alignment.
CoRR
Kaipeng Zeng, Bo Yang, Xin Zhao, Yu Zhang, Fan Nie, Xiaokang Yang, Yaohui Jin, Yanyan Xu
2024 J jnl
Ualign: pushing the limit of template-free retrosynthesis prediction with unsupervised SMILES alignment.
J. Cheminformatics
Kaipeng Zeng, Bo Yang, Xin Zhao, Yu Zhang, Fan Nie, Xiaokang Yang, Yaohui Jin, Yanyan Xu
2024 Misc conf
Uncertainty-Aware Decision Transformer for Stochastic Driving Environments.
CoRL
Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao
2023 J jnl
Advective Diffusion Transformers for Topological Generalization in Graph Learning.
CoRR
Qitian Wu, Chenxiao Yang, Kaipeng Zeng, Fan Nie, Michael M. Bronstein, Junchi Yan
2023 J jnl
Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills.
CoRR
Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao
2023 J jnl
NanoSNP: a progressive and haplotype-aware SNP caller on low-coverage nanopore sequencing data.
Bioinform.
Neng Huang, Minghua Xu, Fan Nie, Peng Ni, Chuan-Le Xiao, Feng Luo, Jianxin Wang
2023 A* conf
Simplifying and Empowering Transformers for Large-Graph Representations.
NeurIPS
Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan
2023 J jnl
Simplifying and Empowering Transformers for Large-Graph Representations.
CoRR
Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan
2023 J jnl
Uncertainty-Aware Decision Transformer for Stochastic Driving Environments.
CoRR
Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao
2023 J jnl
Why Increase of Heterogeneity Signals Pre-Deterioration During Tumor Progression: A Unified Mathematical Model.
SIAM J. Appl. Math.
Yuanling Niu, Hao Kang, Pingyang Wang, Chenchen Guo, Fan Nie, Hongbin Ji, Jiarui Wu, Luonan Chen
2022 J jnl
BlockPolish: accurate polishing of long-read assembly via block divide-and-conquer.
Briefings Bioinform.
Neng Huang, Fan Nie, Peng Ni, Xin Gao, Feng Luo, Jianxin Wang
2022 J jnl
Fec: a fast error correction method based on two-rounds overlapping and caching.
Bioinform.
Jun Zhang, Fan Nie, Neng Huang, Peng Ni, Feng Luo, Jianxin Wang
2022 A* conf
GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs.
NeurIPS
Zenan Li, Qitian Wu, Fan Nie, Junchi Yan
2022 J jnl
SACall: A Neural Network Basecaller for Oxford Nanopore Sequencing Data Based on Self-Attention Mechanism.
IEEE ACM Trans. Comput. Biol. Bioinform.
Neng Huang, Fan Nie, Peng Ni, Feng Luo, Jianxin Wang
2021 J jnl
NeuralPolish: a novel Nanopore polishing method based on alignment matrix construction and orthogonal Bi-GRU Networks.
Bioinform.
Neng Huang, Fan Nie, Peng Ni, Feng Luo, Xin Gao, Jianxin Wang
2019 — conf
An attention-based neural network basecaller for Oxford Nanopore sequencing data.
BIBM
Neng Huang, Fan Nie, Peng Ni, Feng Luo, Jianxin Wang