Yiwei Lu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 33

Top Topics

Levenshtein Distance

Extended Abstract

Argumentation Theory

Top Venues

IEEE Intell. Syst.

Publications

Chunhui Xu, Trey Shaw, Sai Akhil Choppararu, Yiwei Lu, Shaik Naveed Farooq, Yongfang Qin, Matt Hudson, Brock Weekley, Michael Fisher, Fei He, Jose Roberto Da Silva Nascimento, Nicholas Wergeles, Trupti Joshi, Philip D. Bates, Abraham J. Koo, Doug K. Allen, Edgar B. Cahoon, Jay J. Thelen, Dong Xu
FatPlants: a comprehensive information system for lipid-related genes and metabolic pathways in plants. Database J. Biol. Databases Curation 2024 (2024)
Yiwei Lu, Guojun Zhang, Sun Sun, Hongyu Guo, Yaoliang Yu
f-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning. CoRR (2024)
Chengli Peng, Zhenyu Yang, Yiwei Lu, Zizhuo Li, Qiwen Jin
A more reliable local-global-guided network for correspondence pruning. Pattern Recognit. Lett. 181 (2024)
Yiwei Lu, Yuhui Lin, Xue Li, Alan Bundy, Burkhard Schäfer, Andrew Ireland
Logic and Theory Repair in Legal Modification. COGAI@IJCLR (2023)
Yiwei Lu, Gautam Kamath, Yaoliang Yu
Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks. ICML (2023)
Yiwei Lu, Zhe Yu, Yuhui Lin, Burkhard Schafer, Andrew Ireland, Lachlan Urquhart
A Legal System to Modify Autonomous Vehicle Designs in Transnational Contexts. JURIX (2023)
Zhe Yu, Yiwei Lu
A Structured Bipolar Argumentation Theory for Providing Explanations in Practical Reasoning. CLAR (2023)
Yiwei Lu, Yaoliang Yu, Xinlin Li, Vahid Partovi Nia
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers. NeurIPS (2023)
Yiwei Lu, Gautam Kamath, Yaoliang Yu
Exploring the Limits of Indiscriminate Data Poisoning Attacks. CoRR (2023)
Yiwei Lu, Gautam Kamath, Yaoliang Yu
Indiscriminate Data Poisoning Attacks on Neural Networks. CoRR (2022)
Mahesh Kumar Krishna Reddy, Mrigank Rochan, Yiwei Lu, Yang Wang
AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting. IEEE Trans. Multim. 24 (2022)
Yiwei Lu, Gautam Kamath, Yaoliang Yu
Indiscriminate Data Poisoning Attacks on Neural Networks. Trans. Mach. Learn. Res. 2022 (2022)
Yiwei Lu, Zhe Yu, Yuhui Lin, Burkhard Schafer, Andrew Ireland, Lachlan Urquhart
An Argumentation and Ontology Based Legal Support System for AI Vehicle Design. JURIX (2022)
Zhe Yu, Yiwei Lu
An Argumentation-Based Legal Reasoning Approach for DL-Ontology. CoRR (2022)
Yiwei Lu, Yong Yang, Ming Zhang, Rumeng Wang, Li Jiang, Bin Qin
Improved Square-Coil Configurations for Homogeneous Magnetic Field Generation. IEEE Trans. Ind. Electron. 69 (6) (2022)
Haixiao Chi, Yiwei Lu, Beishui Liao, Liaosa Xu, Yaqi Liu
An Optimized Quantitative Argumentation Debate Model for Fraud Detection in E-Commerce Transactions. IEEE Intell. Syst. 36 (2) (2021)
Yiwei Lu, Ruopeng Yang, Xuping Jiang, Dan Zhou, Changsheng Yin, Zizhuo Li
MRE: A Military Relation Extraction Model Based on BiGRU and Multi-Head Attention. Symmetry 13 (9) (2021)
Yiwei Lu, Yang Huang, Tianyu Hu
Robust Resource Scheduling for Air-Ground Cooperative Mobile Edge Computing. ICCC (2021)
Yuan Liu, Yiwei Lu, Yashuo He, Xiaonan Zhao, Cuiping Zhang
Marker Codes Using the Decoding Based on Weighted Levenshtein Distance in the Presence of Insertions/Deletions. IEEE Access 8 (2020)
Yiwei Lu, Frank Yu, Mahesh Kumar Krishna Reddy, Yang Wang
Few-shot Scene-adaptive Anomaly Detection. CoRR (2020)
Yiwei Lu, Zhe Yu
Argumentation Theory for Reasoning with Inconsistent Ontologies (Extended Abstract). Description Logics (2020)
Mahesh Kumar Krishna Reddy, Mrigank Rochan, Yiwei Lu, Yang Wang
AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting. CoRR (2020)
Zhao Kang, Xiao Lu, Yiwei Lu, Chong Peng, Wenyu Chen, Zenglin Xu
Structure learning with similarity preserving. Neural Networks 129 (2020)
Yiwei Lu, Frank Yu, Mahesh Kumar Krishna Reddy, Yang Wang
Few-Shot Scene-Adaptive Anomaly Detection. ECCV (5) (2020)
Yiwei Lu, Mahesh Kumar K., Seyed Shahabeddin Nabavi, Yang Wang
Future Frame Prediction Using Convolutional VRNN for Anomaly Detection. CoRR (2019)
Zhao Kang, Xiao Lu, Yiwei Lu, Chong Peng, Zenglin Xu
Structure Learning with Similarity Preserving. CoRR (2019)
Yiwei Lu, K. Mahesh Kumar, Seyed Shahabeddin Nabavi, Yang Wang
Future Frame Prediction Using Convolutional VRNN for Anomaly Detection. AVSS (2019)
Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu
Similarity Learning via Kernel Preserving Embedding. AAAI (2019)
Yiwei Lu, Mahesh Kumar K., Noman Mohammed, Yang Wang
Homoglyph attack detection with unpaired data. SEC (2019)
Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu
Similarity Learning via Kernel Preserving Embedding. CoRR (2019)
Ang Li, Yiwei Lu, Yang Wang
Semantic Segmentation in Compressed Videos. MMSP (2019)
Xuefeng Wang, Ruopeng Yang, Yiwei Lu, Qingfeng Wu
Military Named Entity Recognition Method Based on Deep Learning. CCIS (2018)
Hong Jiang, Yiwei Lu, Shunyou Yao
Random matrix based method for joint DOD and DOA estimation for large scale MIMO radar in non-Gaussian noise. ICASSP (2016)