Athena: A Fault-Tolerant, Efficient and Applicable Routing Mechanism for Data Centers. - Lijun Lyu; Junjie Xie; Yuhui Deng; Yongtao Zhou (ICA3PP (1), 2014)

Improving Routing Performance via Dynamic Programming in Large-Scale Data Centers. - Junjie Xie; Lijun Lyu; Yuhui Deng; Laurence T. Yang (IEEE Internet Things J., 2015)

Improved Cryptanalysis of an ISO Standard Lightweight Block Cipher with Refined MILP Modelling. - Jun Yin; Chuyan Ma; Lijun Lyu; Jian Song 001; Guang Zeng; Chuangui Ma; Fushan Wei (Inscrypt, 2017)

Real-time Event-based News Suggestion for Wikipedia Pages from News Streams. - Lijun Lyu; Besnik Fetahu (WWW (Companion Volume), 2018)

Insulation Defect Detection of Electrical Equipment Based on Infrared and Ultraviolet Photoelectric Sensing Technology. - Kai Gao; Lijun Lyu; Hua Huang; ChenZhao Fu; Fuchun Chen; Lijun Jin (IECON, 2019)

Temperature Rise Prediction of GIS Electrical Contact Using an Improved Kalman Filter. - Xinlei Qiao; Kai Gao; Hua Huang; Lijun Lyu; Wentao Lin; Lijun Jin (IECON, 2019)

Automatic Key Recovery of Feistel Ciphers: Application to SIMON and SIMECK. - Yingjie Zhang; Lijun Lyu; Kexin Qiao; Zhiyu Zhang; Siwei Sun; Lei Hu (ISPEC, 2021)

Towards Benchmarking the Utility of Explanations for Model Debugging. - Maximilian Idahl; Lijun Lyu; Ujwal Gadiraju; Avishek Anand (CoRR, 2021)

Neural OCR Post-Hoc Correction of Historical Corpora. - Lijun Lyu; Maria Koutraki; Besnik Fetahu; Martin Krickl (Trans. Assoc. Comput. Linguistics, 2021)

Improving the Deep-Learning-Based Differential Distinguisher and Applications to Simeck. - Lijun Lyu; Yi Tu; Yingjie Zhang (CSCWD, 2022)

BERT Rankers are Brittle: A Study using Adversarial Document Perturbations. - Yumeng Wang 001; Lijun Lyu; Avishek Anand (ICTIR, 2022)

Deep Learning Assisted Key Recovery Attack for Round-Reduced Simeck32/64. - Lijun Lyu; Yi Tu; Yingjie Zhang (ISC, 2022)

Explainable Information Retrieval: A Survey. - Avishek Anand; Lijun Lyu; Maximilian Idahl; Yumeng Wang 001; Jonas Wallat; Zijian Zhang 006 (CoRR, 2022)

An improved integral distinguisher scheme based on neural networks. - Behnam Zahednejad; Lijun Lyu (Int. J. Intell. Syst., 2022)

Listwise Explanations for Ranking Models Using Multiple Explainers. - Lijun Lyu; Avishek Anand (ECIR (1), 2023)

Is Interpretable Machine Learning Effective at Feature Selection for Neural Learning-to-Rank? - Lijun Lyu; Nirmal Roy; Harrie Oosterhuis; Avishek Anand (ECIR (4), 2024)

Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions. - Harrie Oosterhuis; Lijun Lyu; Avishek Anand (ICML, 2024)