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ORCIDShuai Lu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Shuai Lü 0001
![[0000-0002-8081-4498]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8081-4498")
(aka: Shuai Lu 0001, Shuai Lv 0001) — Jilin University, Changchun, China (and 1 more) - Shuai Lu 0002 — Southeast University, School of Electrical Engineering, Nanjing, China
- Shuai Lu 0003 — Beijing University of Chemical Technology, Department of Mathematics, Beijing, China
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2020 – today
- 2025
[j59]Hongwei Zhang, Zhidong Lu, Xiwei Chen, Shuai Lu, Le Yao:
Masked contrastive generative adversarial network for defect detection of yarn-dyed fabric. J. Supercomput. 81(1): 239 (2025)- 2024
- [j58]Shuai Lu, Taotao Bao:
Short-Term Electricity Load Forecasting Based on NeuralProphet and CNN-LSTM. IEEE Access 12: 76870-76879 (2024) - [j57]Miao Zhang, Yiqing Shen, Jun Yin, Shuai Lu, Xueqian Wang:
ADAGENT: Anomaly Detection Agent With Multimodal Large Models in Adverse Environments. IEEE Access 12: 172061-172074 (2024) - [j56]Shuai Lu, Jiaxi Zheng, Zhi Li, Xuerui Dai:
WMBAL: weighted minimum bounds for active learning. Appl. Intell. 54(3): 2551-2563 (2024) - [j55]Shuai Lu, Haibo Chen, Yilong Teng:
Multi-Scale Non-Local Spatio-Temporal Information Fusion Networks for Multi-Step Traffic Flow Forecasting. ISPRS Int. J. Geo Inf. 13(3): 71 (2024) - [j54]Yuanyuan Li, Shuai Lu, Peter Mathé, Sergei V. Pereverzev:
Two-layer networks with the ReLUk activation function: Barron spaces and derivative approximation. Numerische Mathematik 156(1): 319-344 (2024) - [j53]Sen Zou, Shuai Lu, Boxi Xu:
Increasing Stability of the First Order Linearized Inverse Schrödinger Potential Problem with Integer Power Type Nonlinearities. SIAM J. Appl. Math. 84(4): 1868-1889 (2024) - [j52]Xinyan Li, Simon Hubmer, Shuai Lu, Ronny Ramlau:
Regularization of Linear Inverse Problems with Irregular Noise Using Embedding Operators. SIAM J. Imaging Sci. 17(4): 2053-2075 (2024) - [j51]Jiduo Xing, Shuai Lu:
A network-based simulation framework for robustness assessment of accessibility in healthcare systems with the consideration of cascade failures. Simul. 100(8): 773-788 (2024) - [j50]Huangzhao Zhang, Shuai Lu, Zhuo Li, Zhi Jin, Lei Ma, Yang Liu, Ge Li:
CodeBERT-Attack: Adversarial attack against source code deep learning models via pre-trained model. J. Softw. Evol. Process. 36(3) (2024) - [j49]Hongwei Zhang, Shuaibo Liu, Chi Wang, Shuai Lu, Wenbo Xiong:
Color-patterned fabric defect detection algorithm based on triplet attention multi-scale U-shape denoising convolutional auto-encoder. J. Supercomput. 80(4): 4451-4476 (2024) - [j48]Ding Li, Qichao Zhang, Shuai Lu, Yifeng Pan, Dongbin Zhao:
Conditional Goal-Oriented Trajectory Prediction for Interacting Vehicles. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18758-18770 (2024) - [j47]Bo Yang, Hao Li, Song Xu, Hao Liu, Shuai Lu:
Systematic Methods to Eliminate the Transient Circulating Powers in the Multi-VSGs System. IEEE Trans. Smart Grid 15(1): 179-190 (2024) - [j46]Xiaolong Yang, Shuai Lu, Mu Zhou, Zengshan Tian, Weiqiang Tan:
GPS attitude measurement with baseline constrained optimization algorithm for unpiloted car. Wirel. Networks 30(5): 3375-3386 (2024) - [c37]Baizhou Huang, Shuai Lu, Xiaojun Wan, Nan Duan:
Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency. ACL (1) 2024: 1429-1450 - [c36]Lichen Zhang, Shuai Lu, Nan Duan:
Selene: Pioneering Automated Proof in Software Verification. ACL (1) 2024: 1776-1789 - [c35]Yiming Huang, Zhenghao Lin, Xiao Liu, Yeyun Gong, Shuai Lu, Fangyu Lei, Yaobo Liang, Yelong Shen, Chen Lin, Nan Duan, Weizhu Chen:
Competition-Level Problems are Effective LLM Evaluators. ACL (Findings) 2024: 13526-13544 - [c34]Miao Zhang, Yiqing Shen, Zhuowei Li, Guofeng Pan, Shuai Lu:
A Retinex Structure-based Low-light Enhancement Model Guided by Spatial Consistency. ICRA 2024: 2154-2161 - [c33]Junjie Huang, Daya Guo, Chenglong Wang, Jiazhen Gu, Shuai Lu, Jeevana Priya Inala, Cong Yan, Jianfeng Gao, Nan Duan, Michael R. Lyu:
Contextualized Data-Wrangling Code Generation in Computational Notebooks. ASE 2024: 1282-1294 - [c32]Wanjun Zhong, Ruixiang Cui, Yiduo Guo, Yaobo Liang, Shuai Lu, Yanlin Wang, Amin Saied, Weizhu Chen, Nan Duan:
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models. NAACL-HLT (Findings) 2024: 2299-2314 - [i36]Lichen Zhang, Shuai Lu, Nan Duan:
Selene: Pioneering Automated Proof in Software Verification. CoRR abs/2401.07663 (2024) - [i35]Xinyan Li, Simon Hubmer, Shuai Lu, Ronny Ramlau:
Regularization of linear inverse problems with irregular noise using embedding operators. CoRR abs/2401.15945 (2024) - [i34]Zhuowei Li, Miao Zhang, Xiaotian Lin, Meng Yin, Shuai Lu, Xueqian Wang:
GAgent: An Adaptive Rigid-Soft Gripping Agent with Vision Language Models for Complex Lighting Environments. CoRR abs/2403.10850 (2024) - [i33]Dian Feng, Yikan Liu, Shuai Lu:
Forward and backward problems for coupled subdiffusion systems. CoRR abs/2407.00588 (2024) - [i32]Yuanyuan Li, Shuai Lu:
Function and derivative approximation by shallow neural networks. CoRR abs/2407.05078 (2024) - [i31]Xiang Fu, Xinpeng Zhang, Jixiang Ma, Peng Zhao, Shuai Lu, Xu T. Liu:
High Performance Im2win and Direct Convolutions using Three Tensor Layouts on SIMD Architectures. CoRR abs/2408.00278 (2024) - [i30]Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Jianan Yao, Weidong Cui, Yeyun Gong, Chris Hawblitzel, Shuvendu K. Lahiri, Jacob R. Lorch, Shuai Lu, Fan Yang, Ziqiao Zhou, Shan Lu:
AutoVerus: Automated Proof Generation for Rust Code. CoRR abs/2409.13082 (2024) - [i29]Junjie Huang, Daya Guo, Chenglong Wang, Jiazhen Gu, Shuai Lu, Jeevana Priya Inala, Cong Yan, Jianfeng Gao, Nan Duan, Michael R. Lyu:
Contextualized Data-Wrangling Code Generation in Computational Notebooks. CoRR abs/2409.13551 (2024) - [i28]Shaonan Wu, Shuai Lu, Yeyun Gong, Nan Duan, Ping Wei:
Alchemy: Amplifying Theorem-Proving Capability through Symbolic Mutation. CoRR abs/2410.15748 (2024) - [i27]Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Hao Yu, Nan Duan, Peng Cheng, Fan Yang, Shuvendu K. Lahiri, Tao Xie, Lidong Zhou:
Automated Proof Generation for Rust Code via Self-Evolution. CoRR abs/2410.15756 (2024) - [i26]Muhammad Saeed, Arash Khalatbarisoltani, Zhongwei Deng, Wenxue Liu, Faisal Altaf, Shuai Lu, Xiaosong Hu:
Comparative Analysis of Control Observer-Based Methods for State Estimation of Lithium-Ion Batteries in Practical Scenarios. CoRR abs/2411.18867 (2024) - 2023
- [j45]Mengqin Xu, Haibo Zhou, Shuai Lu, Peiyao Zhu, Xiaofeng Wang:
Real-time panoramic map modeling method based on multisource image fusion and three-dimensional rendering. J. Electronic Imaging 32(1) (2023) - [j44]Neil K. Chada, Marco A. Iglesias, Shuai Lu, Frank Werner:
On a Dynamic Variant of the Iteratively Regularized Gauss-Newton Method with Sequential Data. SIAM J. Sci. Comput. 45(3): 3020-3046 (2023) - [j43]Wenke Yang, Qianting Ma, Jianmin He, Shuai Lu, Xi Chen:
Can green innovation subsidies reduce the systemic risk of green innovative enterprises? A simulation study. Technol. Anal. Strateg. Manag. 35(9): 1223-1239 (2023) - [j42]Yuguang Li, Shuai Lu, Qiang Ma, Xiaofei Nan, Shoutao Zhang:
Protein-Protein Interaction Site Prediction Based on Attention Mechanism and Convolutional Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3820-3829 (2023) - [c31]Ryo Sekizawa, Nan Duan, Shuai Lu, Hitomi Yanaka:
Constructing Multilingual Code Search Dataset Using Neural Machine Translation. ACL (student) 2023: 69-75 - [c30]Chenxiao Liu, Shuai Lu, Weizhu Chen, Daxin Jiang, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan, Nan Duan:
Code Execution with Pre-trained Language Models. ACL (Findings) 2023: 4984-4999 - [c29]Hojae Han, Minsoo Kim, Seung-won Hwang, Nan Duan, Shuai Lu:
Intervention-Based Alignment of Code Search with Execution Feedback. EMNLP (Findings) 2023: 2241-2263 - [c28]Shuai Lu, Jun Chu, Luanzheng Guo, Xu T. Liu:
Im2win: An Efficient Convolution Paradigm on GPU. Euro-Par 2023: 592-607 - [c27]Matthew Jin, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, Alexey Svyatkovskiy:
InferFix: End-to-End Program Repair with LLMs. ESEC/SIGSOFT FSE 2023: 1646-1656 - [i25]Matthew Jin, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, Alexey Svyatkovskiy:
InferFix: End-to-End Program Repair with LLMs. CoRR abs/2303.07263 (2023) - [i24]Yaobo Liang, Chenfei Wu, Ting Song, Wenshan Wu, Yan Xia, Yu Liu, Yang Ou, Shuai Lu, Lei Ji, Shaoguang Mao, Yun Wang, Linjun Shou, Ming Gong, Nan Duan:
TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs. CoRR abs/2303.16434 (2023) - [i23]Wanjun Zhong, Ruixiang Cui, Yiduo Guo, Yaobo Liang, Shuai Lu, Yanlin Wang, Amin Saied, Weizhu Chen, Nan Duan:
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models. CoRR abs/2304.06364 (2023) - [i22]Chenxiao Liu, Shuai Lu, Weizhu Chen, Daxin Jiang, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan, Nan Duan:
Code Execution with Pre-trained Language Models. CoRR abs/2305.05383 (2023) - [i21]Yu Chen, Jin Cheng, Shuai Lu, Masahiro Yamamoto:
Harmonic Measures and Numerical Computation of Cauchy Problems for Laplace Equations. CoRR abs/2305.14686 (2023) - [i20]Shuai Lu, Jun Chu, Luanzheng Guo, Xu T. Liu:
Im2win: An Efficient Convolution Paradigm on GPU. CoRR abs/2306.14316 (2023) - [i19]Shuai Lu, Jun Chu, Xu T. Liu:
Im2win: Memory Efficient Convolution On SIMD Architectures. CoRR abs/2306.14320 (2023) - [i18]Ryo Sekizawa, Nan Duan, Shuai Lu, Hitomi Yanaka:
Constructing Multilingual Code Search Dataset Using Neural Machine Translation. CoRR abs/2306.15604 (2023) - [i17]Baizhou Huang, Shuai Lu, Weizhu Chen, Xiaojun Wan, Nan Duan:
Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency. CoRR abs/2309.17272 (2023) - [i16]Yiming Huang, Zhenghao Lin, Xiao Liu, Yeyun Gong, Shuai Lu, Fangyu Lei, Yaobo Liang, Yelong Shen, Chen Lin, Nan Duan, Weizhu Chen:
Competition-Level Problems are Effective LLM Evaluators. CoRR abs/2312.02143 (2023) - 2022
- [j41]Mei Liang, Yaowen Chang, Fuyi Zhang, Shouli Wang, Changhui Wang, Shuai Lu, Yantao Wang:
Observer-Based Adaptive Fuzzy Output Feedback Control for a Class of Fractional-Order Nonlinear Systems with Full-State Constraints. Int. J. Fuzzy Syst. 24(2): 1046-1058 (2022) - [j40]Victor Isakov, Shuai Lu, Boxi Xu:
A linearised inverse conductivity problem for the Maxwell system at a high frequency. J. Comput. Phys. 455: 111003 (2022) - [j39]Shuai Lu, Peter Mathé:
Stochastic gradient descent for linear inverse problems in Hilbert spaces. Math. Comput. 91(336): 1763-1788 (2022) - [j38]Shuai Lu, Yuguang Li, Fei Wang, Xiaofei Nan, Shoutao Zhang:
Leveraging Sequential and Spatial Neighbors Information by Using CNNs Linked With GCNs for Paratope Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 68-74 (2022) - [c26]Shuai Lu, Nan Duan, Hojae Han, Daya Guo, Seung-won Hwang, Alexey Svyatkovskiy:
ReACC: A Retrieval-Augmented Code Completion Framework. ACL (1) 2022: 6227-6240 - [c25]Daya Guo, Shuai Lu, Nan Duan, Yanlin Wang, Ming Zhou, Jian Yin:
UniXcoder: Unified Cross-Modal Pre-training for Code Representation. ACL (1) 2022: 7212-7225 - [c24]Ding Li, Qichao Zhang, Shuai Lu, Yifeng Pan, Dongbin Zhao:
GAP: Goal-Aware Prediction with Hierarchical Interactive Representation for Vehicle Trajectory. DMBD (1) 2022: 305-319 - [c23]Hojae Han, Seung-won Hwang, Shuai Lu, Nan Duan, Seungtaek Choi:
Towards Compositional Generalization in Code Search. EMNLP 2022: 10743-10750 - [c22]Shuai Lu, Jun Chu, Xu T. Liu:
Im2win: Memory Efficient Convolution On SIMD Architectures. HPEC 2022: 1-7 - [c21]Fang Liu, Ge Li, Zhiyi Fu, Shuai Lu, Yiyang Hao, Zhi Jin:
Learning to Recommend Method Names with Global Context. ICSE 2022: 1294-1306 - [c20]Zhiyu Li, Shuai Lu, Daya Guo, Nan Duan, Shailesh Jannu, Grant Jenks, Deep Majumder, Jared Green, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan:
Automating code review activities by large-scale pre-training. ESEC/SIGSOFT FSE 2022: 1035-1047 - [i15]Fang Liu, Ge Li, Zhiyi Fu, Shuai Lu, Yiyang Hao, Zhi Jin:
Learning to Recommend Method Names with Global Context. CoRR abs/2201.10705 (2022) - [i14]Daya Guo, Shuai Lu, Nan Duan, Yanlin Wang, Ming Zhou, Jian Yin:
UniXcoder: Unified Cross-Modal Pre-training for Code Representation. CoRR abs/2203.03850 (2022) - [i13]Shuai Lu, Nan Duan, Hojae Han, Daya Guo, Seung-won Hwang, Alexey Svyatkovskiy:
ReACC: A Retrieval-Augmented Code Completion Framework. CoRR abs/2203.07722 (2022) - [i12]Zhiyu Li, Shuai Lu, Daya Guo, Nan Duan, Shailesh Jannu, Grant Jenks, Deep Majumder, Jared Green, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan:
CodeReviewer: Pre-Training for Automating Code Review Activities. CoRR abs/2203.09095 (2022) - [i11]Neil K. Chada, Marco A. Iglesias, Shuai Lu, Frank Werner:
On a Dynamic Variant of the Iteratively Regularized Gauss-Newton Method with Sequential Data. CoRR abs/2207.13499 (2022) - [i10]Ding Li, Qichao Zhang, Shuai Lu, Yifeng Pan, Dongbin Zhao:
Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation. CoRR abs/2210.15449 (2022) - 2021
- [j37]Jingxuan Zhang, He Jiang, Shuai Lu, Ge Li, Xin Chen:
DeepDir: a deep learning approach for API directive detection. Sci. China Inf. Sci. 64(9) (2021) - [j36]Shuai Lu, Pingping Niu, Frank Werner:
On the Asymptotical Regularization for Linear Inverse Problems in Presence of White Noise. SIAM/ASA J. Uncertain. Quantification 9(1): 1-28 (2021) - [c19]Shuai Lu, Yuguang Li, Xiaofei Nan, Shoutao Zhang:
Attention-based Convolutional Neural Networks for Protein-Protein Interaction Site Prediction. BIBM 2021: 141-144 - [c18]Jiapeng Cui, Kaixiang Peng, Pengxue Lang, Shuai Lu:
Fault Identification and Remaining Useful Life Prediction for Complex Equipment under Multiple Fault Modes. CAA SAFEPROCESS 2021: 1-6 - [c17]Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan:
WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach. EMNLP (Findings) 2021: 238-244 - [c16]Colin B. Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy:
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy. EMNLP (1) 2021: 4713-4722 - [c15]Shuai Lu:
Computer Aided Packaging Design of Multifunctional Stationery. ICISCAE (ACM) 2021: 133-136 - [c14]Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou:
GraphCodeBERT: Pre-training Code Representations with Data Flow. ICLR 2021 - [c13]Yichong Sun, Bo Cai, Rui Weng, Shuai Lu, Min Li, Tianyu Tan:
Bumpless Transfer Control for A Class of Hybrid Stochastic Systems and Application to Electromagnetic Oscillation Circuit. IECON 2021: 1-6 - [c12]Shuai Lu, Yuguang Li, Xiaofei Nan, Shoutao Zhang:
A Sequence-Based Antibody Paratope Prediction Model Through Combing Local-Global Information and Partner Features. ISBRA 2021: 179-190 - [c11]Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. NeurIPS Datasets and Benchmarks 2021 - [i9]Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. CoRR abs/2102.04664 (2021) - [i8]Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan:
WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach. CoRR abs/2104.01767 (2021) - [i7]Colin B. Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy:
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy. CoRR abs/2109.08780 (2021) - 2020
- [j35]Xingda Zhou, Shuai Lu:
A Novel Inverter-Side Current Control Method of LCL-Filtered Inverters Based on High-Pass- Filtered Capacitor Voltage Feedforward. IEEE Access 8: 16528-16538 (2020) - [j34]Yangming Chen, Shuai Lu, Xingda Zhou, Shibin Liang:
Two-Phase Current Injection Method for Single Line-to-Ground Fault Arc-Suppression With Revised STATCOM. IEEE Access 8: 188299-188308 (2020) - [j33]Rui Zhou, Xiang Lu, Shuai Lu, Yang Fu, Mingjie Tang:
Phone Position Independent Recognition of FineWalking Modes with Phone Sensors. Ad Hoc Sens. Wirel. Networks 46(1-2): 139-161 (2020) - [j32]Yaqian You, Jianbin Sun, Jiang Jiang, Shuai Lu:
A new modeling and inference approach for the belief rule base with attribute reliability. Appl. Intell. 50(3): 976-992 (2020) - [j31]Wonjung Lee, Yiqun Sun, Shuai Lu:
Hierarchical sparse observation models and informative prior for Bayesian inference of spatially varying parameters. J. Comput. Phys. 422: 109768 (2020) - [j30]Victor Isakov, Shuai Lu, Boxi Xu:
Linearized Inverse Schrödinger Potential Problem at a Large Wavenumber. SIAM J. Appl. Math. 80(1): 338-358 (2020) - [i6]Shuai Lu, Pingping Niu, Frank Werner:
On the asymptotical regularization for linear inverse problems in presence of white noise. CoRR abs/2004.04451 (2020) - [i5]Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou:
GraphCodeBERT: Pre-training Code Representations with Data Flow. CoRR abs/2009.08366 (2020) - [i4]Shuo Ren, Daya Guo, Shuai Lu, Long Zhou, Shujie Liu, Duyu Tang, Neel Sundaresan, Ming Zhou, Ambrosio Blanco, Shuai Ma:
CodeBLEU: a Method for Automatic Evaluation of Code Synthesis. CoRR abs/2009.10297 (2020)
2010 – 2019
- 2019
- [j29]Xingda Zhou, Shuai Lu:
Influence of Digital Delay on the Zero-Sequence Voltage Injection Neutral-Point Potential Balance Algorithm for Three-Level NPC Inverters and Its Compensation Method. IEEE Access 7: 71593-71606 (2019) - [j28]Ting Ran, Wenjuan Li, Bingling Peng, Binglan Xie, Tao Lu, Shuai Lu, Wen Liu:
Virtual Screening with a Structure-Based Pharmacophore Model to Identify Small-Molecule Inhibitors of CARM1. J. Chem. Inf. Model. 59(1): 522-534 (2019) - [j27]Sicheng Wang, Sixun Huang, Shuai Lu, Bing Yan:
3-D Ionospheric Tomography Using Model Function in the Modified L-Curve Method. IEEE Trans. Geosci. Remote. Sens. 57(6): 3135-3147 (2019) - [j26]Yingzhou Wang, Yulong Ni, Shuai Lu, Jianguo Wang, Xiuyu Zhang:
Remaining Useful Life Prediction of Lithium-Ion Batteries Using Support Vector Regression Optimized by Artificial Bee Colony. IEEE Trans. Veh. Technol. 68(10): 9543-9553 (2019) - [c10]Bolin Wei, Shuai Lu, Lili Mou, Hao Zhou, Pascal Poupart, Ge Li, Zhi Jin:
Why Do Neural Dialog Systems Generate Short and Meaningless Replies? a Comparison between Dialog and Translation. ICASSP 2019: 7290-7294 - 2018
- [j25]Litao Ding, Shuai Lu, Jin Cheng:
Weak-norm posterior contraction rate of the 4DVAR method for linear severely ill-posed problems. J. Complex. 46: 1-18 (2018) - [j24]Victor Isakov, Shuai Lu:
Increasing Stability in the Inverse Source Problem with Attenuation and Many Frequencies. SIAM J. Appl. Math. 78(1): 1-18 (2018) - [j23]Yi Zhang, Shuai Lu, Yalian Yang, Qiang Guo:
Internet-Distributed Vehicle-in-the-Loop Simulation for HEVs. IEEE Trans. Veh. Technol. 67(5): 3729-3739 (2018) - [c9]Liangbo Xie, Shuai Lu, Mu Zhou, Yi Chen, Xiaoxiao Jin:
Trajectory Reckoning Method Based on BDS Attitude Measuring and Point Positioning. CSPS (2) 2018: 1303-1311 - [c8]Xing Hu, Ge Li, Xin Xia, David Lo, Shuai Lu, Zhi Jin:
Summarizing Source Code with Transferred API Knowledge. IJCAI 2018: 2269-2275 - [i3]Shuai Lu, Peter Mathé, Sergiy Pereverzyev Jr.:
Analysis of regularized Nyström subsampling for regression functions of low smoothness. CoRR abs/1806.00826 (2018) - 2017
- [j22]Emilie Purvine, Eduardo Cotilla Sanchez, Mahantesh Halappanavar, Zhenyu Huang, Guang Lin, Shuai Lu, Shaobu Wang:
Comparative study of clustering techniques for real-time dynamic model reduction. Stat. Anal. Data Min. 10(5): 263-276 (2017) - [c7]Gang Zhao, Shuai Lu, Wenjuan Zhu, Hui Zan, Jun Li:
Strategy of Modeling and Simulation for Tujia Brocade Yarn. CYBCONF 2017: 1-5 - [c6]Shuai Lu, Jing Yang, Hongzhuan Qiu:
Research on autonomous orbit determination for earth-moon constellation based on adaptive EKF. IECON 2017: 3098-3103 - [c5]Rui Zhou, Shuai Lu, Jiesong Chen, Zhiqiang Li:
An Optimized Space Partitioning Technique to Support Two-Layer WiFi Fingerprinting. WCNC 2017: 1-6 - [i2]Bolin Wei, Shuai Lu, Lili Mou, Hao Zhou, Pascal Poupart, Ge Li, Zhi Jin:
Why Do Neural Dialog Systems Generate Short and Meaningless Replies? A Comparison between Dialog and Translation. CoRR abs/1712.02250 (2017) - 2016
- [j21]Huan Su, Feng Xu, Shuai Lu, Ya-Qiu Jin:
Iterative ADMM for Inverse FE-BI Problem: A Potential Solution to Radio Tomography of Asteroids. IEEE Trans. Geosci. Remote. Sens. 54(9): 5226-5238 (2016) - 2015
- [j20]