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2020 – today
- 2026
[j9]Jiye Zhang
, Gaolin Yang, Jinhan Xie, Yifan Ge, Xiuhua Jiang, Jiangbo Xu:
GranuMamba: A multi-granularity state space model for co-speech gesture generation. Expert Syst. Appl. 331: 133415 (2026)- [c7]Zhenyu Bao, Qing Li, Jinhan Xie, Kanglin Liu:
CPOStream: Collaborating Prediction and Observation for Flicker-Free Streamable Free-Viewpoint Video with 3DGS. AAAI 2026: 2426-2434 - 2025
- [j8]Haochen Li, Jinhan Xie, Chi Zhang, Yuchen Zhang, Yaomin Zhao:
A transformer-based convolutional method to model inverse cascade in forced two-dimensional turbulence. J. Comput. Phys. 520: 113475 (2025) - [c6]Jinhan Xie, Kanglin Liu, Zhenyu Bao, Qing Li:
APasco: High Fidelity Audio-Driven Portrait Animation Based on Audio-Lip Multi-Head Cross-Attention and 3D Dense Geometric Prior. ECAI 2025: 3258-3265 - [c5]Qiangqiang Zhang, Ting Li, Xinwei Feng, Xiaodong Yan, Jinhan Xie:
Online Differentially Private Conformal Prediction for Uncertainty Quantification. ICML 2025 - [c4]Zhaoyang Zhang, Ziqi Chen, Qiao Liu, Jinhan Xie, Hongtu Zhu:
Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation. KDD (2) 2025: 3912-3920 - [c3]Chenfei Gu, Qiangqiang Zhang, Ting Li, Jinhan Xie, Niansheng Tang:
Online robust locally differentially private learning for nonparametric regression. NeurIPS 2025 - [c2]Qiangqiang Zhang, Chenfei Gu, Xinwei Feng, Jinhan Xie, Ting Li:
Online Locally Differentially Private Conformal Prediction via Binary Inquiries. NeurIPS 2025 - [i4]Wenxing Guo, Jinhan Xie, Jianya Lu, Bei Jiang, Hongsheng Dai, Linglong Kong:
Online federated learning framework for classification. CoRR abs/2503.15210 (2025) - [i3]Enze Shi, Jinhan Xie, Bei Jiang, Linglong Kong, Xuming He:
Non-Asymptotic Analysis of Online Local Private Learning with SGD. CoRR abs/2507.07041 (2025) - 2024
- [j7]Dongxiao Han, Jinhan Xie, Jin Liu, Liuquan Sun, Jian Huang, Bei Jiang, Linglong Kong:
Inference on High-dimensional Single-index Models with Streaming Data. J. Mach. Learn. Res. 25: 337:1-337:68 (2024) - [j6]Wei Dong, Chen Xu, Jinhan Xie, Niansheng Tang:
Tuning-free sparse clustering via alternating hard-thresholding. J. Multivar. Anal. 203: 105330 (2024) - [j5]Qiangqiang Fan, Jinhan Xie, Zhaoyang Dong, Yang Wang:
The Effect of Ambient Illumination and Text Color on Visual Fatigue under Negative Polarity. Sensors 24(11): 3516 (2024) - [i2]Zhaoyang Zhang, Ziqi Chen, Qiao Liu, Jinhan Xie, Hongtu Zhu:
Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation. CoRR abs/2411.04899 (2024) - 2022
- [j4]Shenggang Hu, Jabir Alshehabi Al-Ani, Karen D. Hughes, Nicole Denier, Alla Konnikov, Lei Ding, Jinhan Xie, Yang Hu, Monideepa Tarafdar, Bei Jiang, Linglong Kong, Hongsheng Dai:
Balancing Gender Bias in Job Advertisements With Text-Level Bias Mitigation. Frontiers Big Data 5: 805713 (2022) - [c1]Lei Ding, Dengdeng Yu, Jinhan Xie, Wenxing Guo, Shenggang Hu, Meichen Liu, Linglong Kong, Hongsheng Dai, Yanchun Bao, Bei Jiang:
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving. AAAI 2022: 11864-11872 - 2021
- [i1]Lei Ding, Dengdeng Yu, Jinhan Xie, Wenxing Guo, Shenggang Hu, Meichen Liu, Linglong Kong, Hongsheng Dai, Yanchun Bao, Bei Jiang:
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving. CoRR abs/2112.05194 (2021) - 2020
- [j3]Jinhan Xie, Meiling Hao, Wenxin Liu, Yuanyuan Lin:
Fused variable screening for massive imbalanced data. Comput. Stat. Data Anal. 141: 94-108 (2020) - [j2]Xiaoxia Li, Niansheng Tang, Jinhan Xie, Xiaodong Yan:
A nonparametric feature screening method for ultrahigh-dimensional missing response. Comput. Stat. Data Anal. 142 (2020)
2010 – 2019
- 2018
- [j1]Xiaodong Yan, Nian-Sheng Tang, Jinhan Xie, Xianwen Ding, Zhiqiang Wang:
Fused mean-variance filter for feature screening. Comput. Stat. Data Anal. 122: 18-32 (2018)
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