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2020 – today
- 2024
[c12]Lijun Lyu
, Nirmal Roy, Harrie Oosterhuis, Avishek Anand:
Is Interpretable Machine Learning Effective at Feature Selection for Neural Learning-to-Rank? ECIR (4) 2024: 384-402- [c11]Harrie Oosterhuis, Lijun Lyu, Avishek Anand:
Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions. ICML 2024 - [i6]Lijun Lyu, Nirmal Roy, Harrie Oosterhuis, Avishek Anand:
Is Interpretable Machine Learning Effective at Feature Selection for Neural Learning-to-Rank? CoRR abs/2405.07782 (2024) - [i5]Harrie Oosterhuis, Lijun Lyu, Avishek Anand:
Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions. CoRR abs/2407.11778 (2024) - 2023
- [c10]Lijun Lyu, Avishek Anand:
Listwise Explanations for Ranking Models Using Multiple Explainers. ECIR (1) 2023: 653-668 - 2022
- [j3]Behnam Zahednejad, Lijun Lyu:
An improved integral distinguisher scheme based on neural networks. Int. J. Intell. Syst. 37(10): 7584-7613 (2022) - [c9]Lijun Lyu, Yi Tu, Yingjie Zhang:
Improving the Deep-Learning-Based Differential Distinguisher and Applications to Simeck. CSCWD 2022: 465-470 - [c8]Yumeng Wang, Lijun Lyu, Avishek Anand:
BERT Rankers are Brittle: A Study using Adversarial Document Perturbations. ICTIR 2022: 115-120 - [c7]Lijun Lyu, Yi Tu, Yingjie Zhang:
Deep Learning Assisted Key Recovery Attack for Round-Reduced Simeck32/64. ISC 2022: 443-463 - [i4]Yumeng Wang, Lijun Lyu, Avishek Anand:
BERT Rankers are Brittle: a Study using Adversarial Document Perturbations. CoRR abs/2206.11724 (2022) - [i3]Avishek Anand, Lijun Lyu, Maximilian Idahl, Yumeng Wang, Jonas Wallat, Zijian Zhang:
Explainable Information Retrieval: A Survey. CoRR abs/2211.02405 (2022) - 2021
- [j2]Lijun Lyu, Maria Koutraki, Besnik Fetahu, Martin Krickl:
Neural OCR Post-Hoc Correction of Historical Corpora. Trans. Assoc. Comput. Linguistics 9: 479-493 (2021) - [c6]Yingjie Zhang, Lijun Lyu, Kexin Qiao, Zhiyu Zhang, Siwei Sun, Lei Hu:
Automatic Key Recovery of Feistel Ciphers: Application to SIMON and SIMECK. ISPEC 2021: 147-167 - [i2]Lijun Lyu, Maria Koutraki, Martin Krickl, Besnik Fetahu:
Neural OCR Post-Hoc Correction of Historical Corpora. CoRR abs/2102.00583 (2021) - [i1]Maximilian Idahl, Lijun Lyu, Ujwal Gadiraju, Avishek Anand:
Towards Benchmarking the Utility of Explanations for Model Debugging. CoRR abs/2105.04505 (2021)
2010 – 2019
- 2019
- [c5]Xinlei Qiao, Kai Gao, Hua Huang, Lijun Lyu, Wentao Lin, Lijun Jin:
Temperature Rise Prediction of GIS Electrical Contact Using an Improved Kalman Filter. IECON 2019: 167-172 - [c4]Kai Gao, Lijun Lyu, Hua Huang, ChenZhao Fu, Fuchun Chen, Lijun Jin:
Insulation Defect Detection of Electrical Equipment Based on Infrared and Ultraviolet Photoelectric Sensing Technology. IECON 2019: 2184-2189 - 2018
- [c3]Lijun Lyu, Besnik Fetahu:
Real-time Event-based News Suggestion for Wikipedia Pages from News Streams. WWW (Companion Volume) 2018: 1793-1799 - 2017
- [c2]Jun Yin, Chuyan Ma, Lijun Lyu, Jian Song, Guang Zeng, Chuangui Ma, Fushan Wei:
Improved Cryptanalysis of an ISO Standard Lightweight Block Cipher with Refined MILP Modelling. Inscrypt 2017: 404-426 - 2015
- [j1]Junjie Xie, Lijun Lyu, Yuhui Deng, Laurence T. Yang:
Improving Routing Performance via Dynamic Programming in Large-Scale Data Centers. IEEE Internet Things J. 2(4): 321-328 (2015) - 2014
- [c1]Lijun Lyu, Junjie Xie, Yuhui Deng, Yongtao Zhou:
Athena: A Fault-Tolerant, Efficient and Applicable Routing Mechanism for Data Centers. ICA3PP (1) 2014: 549-562
Coauthor Index
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