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2020 – today
- 2026
[i17]Fan Nie, Junlin Wang, Harper Hua, Federico Bianchi, Yongchan Kwon, Zhenting Qi, Owen Queen, Shang Zhu, James Zou:
DSGym: A Holistic Framework for Evaluating and Training Data Science Agents. CoRR abs/2601.16344 (2026)- 2025
- [j13]Shanming Chen, Fan Nie, Jianxin Wang:
NanoFilter: enhancing phasing performance by utilizing highly consistent INDELs and SNVs in nanopore sequencing. Bioinform. 41(8) (2025) - [j12]Bin Zhang, Yu Zhang
, Yuming Feng, Wei-Zhe Zhang, Dongcen Ji, Fan Nie:
AR: An Efficient Alliance Root Service with Decentralized Trust. J. Comput. Sci. Technol. 40(4): 1138-1154 (2025) - [j11]Jian Zhang, Jiangqun Ni, Fan Nie:
DSM: Domain Shift Modeling for general deepfake detection. Signal Process. 230: 109822 (2025) - [j10]Fan Nie, Jiangqun Ni, Jian Zhang, Bin Zhang, Weizhe Zhang:
DIP: Diffusion Learning of Inconsistency Pattern for General DeepFake Detection. IEEE Trans. Multim. 27: 2155-2167 (2025) - [j9]Jian Zhang, Jiangqun Ni, Fan Nie, Jiwu Huang:
Domain-invariant and Patch-discriminative Feature Learning for General Deepfake Detection. ACM Trans. Multim. Comput. Commun. Appl. 21(2): 47:1-47:19 (2025) - [c11]Lan Feng, Fan Nie, Yuejiang Liu, Alexandre Alahi:
TAROT: Targeted Data Selection via Optimal Transport. ICML 2025 - [c10]Fan Nie, Xiaotian Hou, Shuhang Lin, James Zou, Huaxiu Yao, Linjun Zhang:
FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees. ICML 2025 - [c9]Qiao Sun, Huimin Wang, Jiahao Zhan, Fan Nie, Xin Wen, Leimeng Xu, Kun Zhan, Peng Jia, Xianpeng Lang, Hang Zhao:
Generalizing Motion Planners with Mixture of Experts for Autonomous Driving. ICRA 2025: 6033-6039 - [i16]Fan Nie, Lan Feng, Haotian Ye, Weixin Liang, Pan Lu, Huaxiu Yao, Alexandre Alahi, James Zou:
Weak-for-Strong: Training Weak Meta-Agent to Harness Strong Executors. CoRR abs/2504.04785 (2025) - [i15]Zhenting Qi, Fan Nie, Alexandre Alahi, James Zou, Himabindu Lakkaraju, Yilun Du, Eric P. Xing, Sham M. Kakade, Hanlin Zhang:
EvoLM: In Search of Lost Language Model Training Dynamics. CoRR abs/2506.16029 (2025) - [i14]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:
UQ: Assessing Language Models on Unsolved Questions. CoRR abs/2508.17580 (2025) - [i13]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:
When Visualizing is the First Step to Reasoning: MIRA, a Benchmark for Visual Chain-of-Thought. CoRR abs/2511.02779 (2025) - [i12]Fan Nie, Jiangqun Ni, Jian Zhang, Bin Zhang, Weizhe Zhang, Bin Li:
Towards Generalizable Deepfake Detection via Forgery-aware Audio-Visual Adaptation: A Variational Bayesian Approach. CoRR abs/2511.19080 (2025) - 2024
- [j8]Jun Zhang, Fan Nie, Feng Luo, Jianxin Wang:
Phasing nanopore genome assembly by integrating heterozygous variations and Hi-C data. Bioinform. 40(12) (2024) - [j7]Kaipeng Zeng, Bo Yang, Xin Zhao, Yu Zhang, Fan Nie, Xiaokang Yang, Yaohui Jin, Yanyan Xu:
Ualign: pushing the limit of template-free retrosynthesis prediction with unsupervised SMILES alignment. J. Cheminformatics 16(1): 80 (2024) - [c8]Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao:
Uncertainty-Aware Decision Transformer for Stochastic Driving Environments. CoRL 2024: 364-386 - [c7]Qitian Wu, Fan Nie, Chenxiao Yang, Junchi Yan:
Learning Divergence Fields for Shift-Robust Graph Representations. ICML 2024: 53776-53792 - [c6]Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao:
Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills. ICRA 2024: 18362-18369 - [c5]Fan Nie, Jiangqun Ni, Jian Zhang, Bin Zhang, Weizhe Zhang:
FRADE: Forgery-aware Audio-distilled Multimodal Learning for Deepfake Detection. ACM Multimedia 2024: 6297-6306 - [c4]Qitian Wu, Fan Nie, Chenxiao Yang, Tianyi Bao, Junchi Yan:
Graph Out-of-Distribution Generalization via Causal Intervention. WWW 2024: 850-860 - [i11]Qitian Wu, Fan Nie, Chenxiao Yang, Tianyi Bao, Junchi Yan:
Graph Out-of-Distribution Generalization via Causal Intervention. CoRR abs/2402.11494 (2024) - [i10]Kaipeng Zeng, Bo Yang, Xin Zhao, Yu Zhang, Fan Nie, Xiaokang Yang, Yaohui Jin, Yanyan Xu:
UAlign: Pushing the Limit of Template-free Retrosynthesis Prediction with Unsupervised SMILES Alignment. CoRR abs/2404.00044 (2024) - [i9]Qitian Wu, Fan Nie, Chenxiao Yang, Junchi Yan:
Learning Divergence Fields for Shift-Robust Graph Representations. CoRR abs/2406.04963 (2024) - [i8]Qiao Sun, Huimin Wang, Jiahao Zhan, Fan Nie, Xin Wen, Leimeng Xu, Kun Zhan, Peng Jia, Xianpeng Lang, Hang Zhao:
Generalizing Motion Planners with Mixture of Experts for Autonomous Driving. CoRR abs/2410.15774 (2024) - [i7]Fan Nie, Jiangqun Ni, Jian Zhang, Bin Zhang, Weizhe Zhang:
DIP: Diffusion Learning of Inconsistency Pattern for General DeepFake Detection. CoRR abs/2410.23663 (2024) - [i6]Fan Nie, Xiaotian Hou, Shuhang Lin, James Zou, Huaxiu Yao, Linjun Zhang:
FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees. CoRR abs/2411.02603 (2024) - [i5]Lan Feng, Fan Nie, Yuejiang Liu, Alexandre Alahi:
TAROT: Targeted Data Selection via Optimal Transport. CoRR abs/2412.00420 (2024) - 2023
- [j6]Neng Huang, Minghua Xu, Fan Nie, Peng Ni, Chuan-Le Xiao, Feng Luo, Jianxin Wang:
NanoSNP: a progressive and haplotype-aware SNP caller on low-coverage nanopore sequencing data. Bioinform. 39(1) (2023) - [j5]Yuanling Niu, Hao Kang, Pingyang Wang, Chenchen Guo, Fan Nie, Hongbin Ji, Jiarui Wu, Luonan Chen:
Why Increase of Heterogeneity Signals Pre-Deterioration During Tumor Progression: A Unified Mathematical Model. SIAM J. Appl. Math. 83(2): 791-815 (2023) - [c3]Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan:
Simplifying and Empowering Transformers for Large-Graph Representations. NeurIPS 2023 - [i4]Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan:
Simplifying and Empowering Transformers for Large-Graph Representations. CoRR abs/2306.10759 (2023) - [i3]Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao:
Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills. CoRR abs/2309.13614 (2023) - [i2]Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao:
Uncertainty-Aware Decision Transformer for Stochastic Driving Environments. CoRR abs/2309.16397 (2023) - [i1]Qitian Wu, Chenxiao Yang, Kaipeng Zeng, Fan Nie, Michael M. Bronstein, Junchi Yan:
Advective Diffusion Transformers for Topological Generalization in Graph Learning. CoRR abs/2310.06417 (2023) - 2022
- [j4]Neng Huang, Fan Nie, Peng Ni, Xin Gao, Feng Luo, Jianxin Wang:
BlockPolish: accurate polishing of long-read assembly via block divide-and-conquer. Briefings Bioinform. 23(1) (2022) - [j3]Jun Zhang, Fan Nie, Neng Huang, Peng Ni, Feng Luo, Jianxin Wang:
Fec: a fast error correction method based on two-rounds overlapping and caching. Bioinform. 38(19): 4629-4632 (2022) - [j2]Neng Huang, Fan Nie, Peng Ni, Feng Luo, Jianxin Wang:
SACall: A Neural Network Basecaller for Oxford Nanopore Sequencing Data Based on Self-Attention Mechanism. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 614-623 (2022) - [c2]Zenan Li, Qitian Wu, Fan Nie, Junchi Yan:
GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs. NeurIPS 2022 - 2021
- [j1]Neng Huang, Fan Nie, Peng Ni, Feng Luo, Xin Gao, Jianxin Wang:
NeuralPolish: a novel Nanopore polishing method based on alignment matrix construction and orthogonal Bi-GRU Networks. Bioinform. 37(19): 3120-3127 (2021)
2010 – 2019
- 2019
- [c1]Neng Huang, Fan Nie, Peng Ni, Feng Luo, Jianxin Wang:
An attention-based neural network basecaller for Oxford Nanopore sequencing data. BIBM 2019: 390-394
Coauthor Index
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