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ORCIDXingjian Li 0002
Person information
- affiliation: Baidu, Inc., China
- affiliation: University of Macau, Macau, SAR, China
- affiliation (former): High Performance Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, China
Other persons with the same name
- Xingjian Li
- Xingjian Li 0001
![[0000-0002-0668-7080]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0668-7080")
— University of Electronic Science and Technology of China, Chengdu, China - Xingjian Li 0003 — Microsoft, Redmond, WA, USA (and 1 more)
- Xingjian Li 0004 — Nanyang Institute of Technology, Nanyang, Henan, China
- Xingjian Li 0005 — Emory University, Department of Mathematics, Atlanta, GA, USA
- Xingjian Li 0006 — Tsinghua University, China
- Xingjian Li 0007 — Tianjin University, College of Intelligence and Computing, China
- Xingjian Li 0008 — North Carolina State University, Department of Electrical and Computer Engineering, Raleigh, NC, USA
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2020 – today
- 2024
[j12]Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Cheng-Zhong Xu, Dejing Dou:
Towards accurate knowledge transfer via target-awareness representation disentanglement. Mach. Learn. 113(2): 699-723 (2024)- [c20]Xingjian Li, Pengkun Yang, Yangcheng Gu, Xueying Zhan, Tianyang Wang, Min Xu, Chengzhong Xu:
Deep Active Learning with Noise Stability. AAAI 2024: 13655-13663 - [c19]Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou:
G-LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint). AAAI 2024: 22705 - [i21]Haoran Li, Xingjian Li, Jiahua Shi, Huaming Chen, Bo Du, Daisuke Kihara, Johan Barthelemy, Jun Shen, Min Xu:
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo Labeling. CoRR abs/2406.18610 (2024) - 2023
- [j11]Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou:
G-LIME: Statistical learning for local interpretations of deep neural networks using global priors. Artif. Intell. 314: 103823 (2023) - [j10]Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu:
Large-scale knowledge distillation with elastic heterogeneous computing resources. Concurr. Comput. Pract. Exp. 35(26) (2023) - [j9]Xingjian Li, Abulikemu Abuduweili, Humphrey Shi, Pengkun Yang, Dejing Dou, Haoyi Xiong, Chengzhong Xu:
Semi-supervised transfer learning with hierarchical self-regularization. Pattern Recognit. 144: 109831 (2023) - [j8]Xingjian Li, Haoyi Xiong, Cheng-Zhong Xu, Dejing Dou:
SMILE: Sample-to-feature Mixup for Efficient Transfer Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c18]Jicun Li, Xingjian Li, Tianyang Wang, Shi Wang, Yanan Cao, Cheng-Zhong Xu, Dejing Dou:
Improving Bert Fine-Tuning via Stabilizing Cross-Layer Mutual Information. ICASSP 2023: 1-5 - [c17]Andong Deng, Xingjian Li, Di Hu, Tianyang Wang, Haoyi Xiong, Cheng-Zhong Xu:
Towards Inadequately Pre-trained Models in Transfer Learning. ICCV 2023: 19340-19351 - [c16]Zeren Zhang, Xingjian Li, Tao Hong, Tianyang Wang, Jinwen Ma, Haoyi Xiong, Cheng-Zhong Xu:
Overcoming Catastrophic Forgetting for Fine-Tuning Pre-trained GANs. ECML/PKDD (5) 2023: 293-308 - [i20]Wenke Xia, Xingjian Li, Andong Deng, Haoyi Xiong, Dejing Dou, Di Hu:
Robust Cross-Modal Knowledge Distillation for Unconstrained Videos. CoRR abs/2304.07775 (2023) - 2022
- [j7]Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Zeyu Chen, Dejing Dou:
InterpretDL: Explaining Deep Models in PaddlePaddle. J. Mach. Learn. Res. 23: 197:1-197:6 (2022) - [j6]Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou:
Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond. Knowl. Inf. Syst. 64(12): 3197-3234 (2022) - [j5]Xingjian Li, Haoyi Xiong, Haozhe An, Cheng-Zhong Xu, Dejing Dou:
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization. Neural Process. Lett. 54(6): 4735-4749 (2022) - [j4]Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Ji Liu, Cheng-Zhong Xu, Dejing Dou:
Knowledge Distillation with Attention for Deep Transfer Learning of Convolutional Networks. ACM Trans. Knowl. Discov. Data 16(3): 42:1-42:20 (2022) - [j3]Haoyi Xiong, Ruosi Wan, Jian Zhao, Zeyu Chen, Xingjian Li, Zhanxing Zhu, Jun Huan:
GrOD: Deep Learning with Gradients Orthogonal Decomposition for Knowledge Transfer, Distillation, and Adversarial Training. ACM Trans. Knowl. Discov. Data 16(6): 117:1-117:25 (2022) - [c15]Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu:
Boosting Active Learning via Improving Test Performance. AAAI 2022: 8566-8574 - [i19]Andong Deng, Xingjian Li, Zhibing Li, Di Hu, Chengzhong Xu, Dejing Dou:
Inadequately Pre-trained Models are Better Feature Extractors. CoRR abs/2203.04668 (2022) - [i18]Xingjian Li, Pengkun Yang, Tianyang Wang, Xueying Zhan, Min Xu, Dejing Dou, Chengzhong Xu:
Deep Active Learning with Noise Stability. CoRR abs/2205.13340 (2022) - [i17]Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo:
Fine-tuning Pre-trained Language Models with Noise Stability Regularization. CoRR abs/2206.05658 (2022) - [i16]Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu:
Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources. CoRR abs/2207.06667 (2022) - 2021
- [j2]Xingjian Li, Dou Goodman, Ji Liu, Tao Wei, Dejing Dou:
Improving Adversarial Robustness via Attention and Adversarial Logit Pairing. Frontiers Artif. Intell. 4: 752831 (2021) - [j1]Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Cheng-Zhong Xu, Dejing Dou:
"In-Network Ensemble": Deep Ensemble Learning with Diversified Knowledge Distillation. ACM Trans. Intell. Syst. Technol. 12(5): 63:1-63:19 (2021) - [c14]Dong Wang, Di Hu, Xingjian Li, Dejing Dou:
Temporal Relational Modeling with Self-Supervision for Action Segmentation. AAAI 2021: 2729-2737 - [c13]Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou:
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning. CVPR 2021: 6923-6932 - [c12]Daxiang Dong, Ji Liu, Xi Wang, Weibao Gong, An Qin, Xingjian Li, Dianhai Yu, Patrick Valduriez, Dejing Dou:
Elastic Deep Learning Using Knowledge Distillation with Heterogeneous Computing Resources. Euro-Par Workshops 2021: 116-128 - [c11]Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo:
Noise Stability Regularization for Improving BERT Fine-tuning. NAACL-HLT 2021: 3229-3241 - [i15]Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou:
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning. CoRR abs/2103.02193 (2021) - [i14]Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou:
Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond. CoRR abs/2103.10689 (2021) - [i13]Xingjian Li, Haoyi Xiong, Chengzhong Xu, Dejing Dou:
SMILE: Self-Distilled MIxup for Efficient Transfer LEarning. CoRR abs/2103.13941 (2021) - [i12]Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo:
Noise Stability Regularization for Improving BERT Fine-tuning. CoRR abs/2107.04835 (2021) - [i11]Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu:
Boosting Active Learning via Improving Test Performance. CoRR abs/2112.05683 (2021) - 2020
- [c10]Qi Kang, Ji Liu, Sijia Yang, Haoyi Xiong, Haozhe An, Xingjian Li, Zhi Feng, Licheng Wang, Dejing Dou:
Quasi-optimal Data Placement for Secure Multi-tenant Data Federation on the Cloud. IEEE BigData 2020: 1954-1963 - [c9]Qingzhong Wang, Jiuniu Wang, Antoni B. Chan, Siyu Huang, Haoyi Xiong, Xingjian Li, Dejing Dou:
Neighbours Matter: Image Captioning with Similar Images. BMVC 2020 - [c8]Kafeng Wang, Xitong Gao, Yiren Zhao, Xingjian Li, Dejing Dou, Cheng-Zhong Xu:
Pay Attention to Features, Transfer Learn Faster CNNs. ICLR 2020 - [c7]Xingjian Li, Haoyi Xiong, Haozhe An, Cheng-Zhong Xu, Dejing Dou:
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr. ICML 2020: 6010-6019 - [i10]Xingjian Li, Haoyi Xiong, Haozhe An, Dejing Dou, Chengzhong Xu:
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization. CoRR abs/2004.12443 (2020) - [i9]Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou:
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr. CoRR abs/2007.03349 (2020) - [i8]Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou:
XMixup: Efficient Transfer Learning with Auxiliary Samples by Cross-domain Mixup. CoRR abs/2007.10252 (2020) - [i7]Xiao Zhang, Xingjian Li, Dejing Dou, Ji Wu:
Measuring Information Transfer in Neural Networks. CoRR abs/2009.07624 (2020) - [i6]Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Zhi Ye, Zhipeng Wang, Chengzhong Xu, Dejing Dou:
Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement. CoRR abs/2010.08532 (2020) - [i5]Dong Wang, Di Hu, Xingjian Li, Dejing Dou:
Temporal Relational Modeling with Self-Supervision for Action Segmentation. CoRR abs/2012.07508 (2020)
2010 – 2019
- 2019
- [c6]Ruosi Wan, Haoyi Xiong, Xingjian Li, Zhanxing Zhu, Jun Huan:
Towards Making Deep Transfer Learning Never Hurt. ICDM 2019: 578-587 - [c5]Xingjian Li, Haoyi Xiong, Hanchao Wang, Yuxuan Rao, Liping Liu, Jun Huan:
Delta: Deep Learning Transfer using Feature Map with Attention for Convolutional Networks. ICLR (Poster) 2019 - [i4]Xingjian Li, Haoyi Xiong, Hanchao Wang, Yuxuan Rao, Liping Liu, Jun Huan:
DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks. CoRR abs/1901.09229 (2019) - [i3]Yingzhen Yang, Xingjian Li, Jun Huan:
An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity. CoRR abs/1902.00873 (2019) - [i2]Dou Goodman, Xingjian Li, Ji Liu, Dejing Dou, Tao Wei:
Improving Adversarial Robustness via Attention and Adversarial Logit Pairing. CoRR abs/1908.11435 (2019) - [i1]Ruosi Wan, Haoyi Xiong, Xingjian Li, Zhanxing Zhu, Jun Huan:
Towards Making Deep Transfer Learning Never Hurt. CoRR abs/1911.07489 (2019) - 2012
- [c4]Jiajia Li, Xingjian Li, Guangming Tan, Mingyu Chen, Ninghui Sun:
An optimized large-scale hybrid DGEMM design for CPUs and ATI GPUs. ICS 2012: 377-386 - 2011
- [c3]Bo Duan, Wendi Wang, Xingjian Li, Chunming Zhang, Peiheng Zhang, Ninghui Sun:
Floating-point mixed-radix FFT core generation for FPGA and comparison with GPU and CPU. FPT 2011: 1-6 - [c2]Linchuan Li, Xingjian Li, Guangming Tan, Mingyu Chen, Peiheng Zhang:
Experience of parallelizing cryo-EM 3D reconstruction on a CPU-GPU heterogeneous system. HPDC 2011: 195-204 - [c1]Yipeng Wang, Xingjian Li, Jiao Meng, Yong Zhao, Zhibin Zhang, Li Guo:
Biprominer: Automatic Mining of Binary Protocol Features. PDCAT 2011: 179-184
Coauthor Index
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