- Hongming Li, Shujian Yu, José C. Príncipe:
Causal Recurrent Variational Autoencoder for Medical Time Series Generation. CoRR abs/2301.06574 (2023) - Shujian Yu, Hongming Li, Sigurd Løkse, Robert Jenssen, José C. Príncipe:
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making. CoRR abs/2301.08970 (2023) - Wenhao Zhu, Qianfeng Zhao, Yunzhe Lv, Shujian Huang, Siheng Zhao, Sizhe Liu, Jiajun Chen:
kNN-BOX: A Unified Framework for Nearest Neighbor Generation. CoRR abs/2302.13574 (2023) - Qiang Li, Shujian Yu, Kristoffer H. Madsen, Vince D. Calhoun, Armin Iraji:
Higher-order Organization in the Human Brain from Matrix-Based Rényi's Entropy. CoRR abs/2303.11994 (2023) - Min Liu, Yu Bao, Chengqi Zhao, Shujian Huang:
Selective Knowledge Distillation for Non-Autoregressive Neural Machine Translation. CoRR abs/2303.17910 (2023) - Jiawei Mao, Shujian Guo, Yuanqi Chang, Xuesong Yin, Binling Nie:
Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classification. CoRR abs/2305.05871 (2023) - Shuo Ye, Shujian Yu, Wenjin Hou, Yu Wang, Xinge You:
Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual Categorization. CoRR abs/2306.04893 (2023) - Luis Pedro Silvestrin, Shujian Yu, Mark Hoogendoorn:
Revisiting the Robustness of the Minimum Error Entropy Criterion: A Transfer Learning Case Study. CoRR abs/2307.08572 (2023) - Wenhao Zhu, Yunzhe Lv, Qingxiu Dong, Fei Yuan, Jingjing Xu, Shujian Huang, Lingpeng Kong, Jiajun Chen, Lei Li:
Extrapolating Large Language Models to Non-English by Aligning Languages. CoRR abs/2308.04948 (2023) - Xiang Geng, Zhejian Lai, Yu Zhang, Shimin Tao, Hao Yang, Jiajun Chen, Shujian Huang:
NJUNLP's Participation for the WMT2023 Quality Estimation Shared Task. CoRR abs/2309.13230 (2023) - Fei Zhao, Taotian Pang, Zhen Wu, Zheng Ma, Shujian Huang, Xinyu Dai:
Dynamic Demonstrations Controller for In-Context Learning. CoRR abs/2310.00385 (2023) - Francesco Alesiani, Shujian Yu, Mathias Niepert:
Continual Invariant Risk Minimization. CoRR abs/2310.13977 (2023) - Peng Ding, Jun Kuang, Dan Ma, Xuezhi Cao, Yunsen Xian, Jiajun Chen, Shujian Huang:
A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily. CoRR abs/2311.08268 (2023) - Xiaoyun Xu, Shujian Yu, Jingzheng Wu, Stjepan Picek:
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness. CoRR abs/2312.04960 (2023) - 2022
- Shujiang Tang, Yujie Feng, Mingjun Li:
Novel weighted essentially non-oscillatory schemes with adaptive weights. Appl. Math. Comput. 420: 126893 (2022) - Qiang Li, Greg Ver Steeg, Shujian Yu, Jesus Malo:
Functional Connectome of the Human Brain with Total Correlation. Entropy 24(12): 1725 (2022) - Zhijing Yang, Shujian Lai, Xiaobin Hong, Yukai Shi, Yongqiang Cheng, Chunmei Qing:
DFAEN: Double-order knowledge fusion and attentional encoding network for texture recognition. Expert Syst. Appl. 209: 118223 (2022) - Wanqi Zhou, Shujian Yu, Badong Chen:
Causality detection with matrix-based transfer entropy. Inf. Sci. 613: 357-375 (2022) - Shujian Wang, Ming Xu, Xunhe Zhang, Yuting Wang:
Fitting Nonlinear Equations with the Levenberg-Marquardt Method on Google Earth Engine. Remote. Sens. 14(9): 2055 (2022) - Chunpeng Wang, Qixian Hao, Shujiang Xu, Bin Ma, Zhiqiu Xia, Qi Li, Jian Li, Yun-Qing Shi:
RD-IWAN: Residual Dense Based Imperceptible Watermark Attack Network. IEEE Trans. Circuits Syst. Video Technol. 32(11): 7460-7472 (2022) - Shujian Wang, Rendong Pi, Jian Li, Xinming Guo, Youfu Lu, Tao Li, Yuan Tian:
Object Tracking Based on the Fusion of Roadside LiDAR and Camera Data. IEEE Trans. Instrum. Meas. 71: 1-14 (2022) - Shiyu Duan, Shujian Yu, José C. Príncipe:
Modularizing Deep Learning via Pairwise Learning With Kernels. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1441-1451 (2022) - Tieliang Gong, Yuxin Dong, Shujian Yu, Bo Dong:
Computationally Efficient Approximations for Matrix-Based Rényi's Entropy. IEEE Trans. Signal Process. 70: 6170-6184 (2022) - Ammar Shaker, Shujian Yu, Daniel Oñoro-Rubio:
Learning to Transfer with von Neumann Conditional Divergence. AAAI 2022: 8231-8239 - Yu Bao, Hao Zhou, Shujian Huang, Dongqi Wang, Lihua Qian, Xinyu Dai, Jiajun Chen, Lei Li:
latent-GLAT: Glancing at Latent Variables for Parallel Text Generation. ACL (1) 2022: 8398-8409 - Yu Zhang, Xiang Geng, Shujian Huang, Jiajun Chen:
NJUNLP's Submission for CCMT 2022 Quality Estimation Task. CCMT 2022: 143-150 - Yawen Ouyang, Zhen Wu, Xinyu Dai, Shujian Huang, Jiajun Chen:
Towards Multi-label Unknown Intent Detection. COLING 2022: 626-635 - Zewei Sun, Shujian Huang, Xinyu Dai, Jiajun Chen:
Alleviating the Inequality of Attention Heads for Neural Machine Translation. COLING 2022: 5246-5250 - Fei Zhao, Zhen Wu, Siyu Long, Xinyu Dai, Shujian Huang, Jiajun Chen:
Learning from Adjective-Noun Pairs: A Knowledge-enhanced Framework for Target-Oriented Multimodal Sentiment Classification. COLING 2022: 6784-6794 - Zheng Ma, Shi Zong, Mianzhi Pan, Jianbing Zhang, Shujian Huang, Xinyu Dai, Jiajun Chen:
Probing Cross-modal Semantics Alignment Capability from the Textual Perspective. EMNLP (Findings) 2022: 5739-5749