Patents

Chi Zhang, Xiaochuan Fan, Yong Yang, Xincheng Wang, Shiliang Diao, Lingfei Wu, and Yun Xiao，"System and Method for Validating Product Photography", Filed, February 2022.
Pin-Yu Chen, Lingfei Wu, Siyu Huo, Tengfei Ma, "A Graph Approach for Protein Structure Prediction via Machine Learning based Correction", To be filed, 2022.
Chen Wang and Lingfei Wu, "Predicting Resource Usage Behavior for Containerized Workload", To be filed, 2021.
Wenhao Yu, Lingfei Wu, Yu Deng, Qingkai Zeng, Ruchi Mahindru, Sinem Guven and Meng Jiang, "Non-Factoid Question Answering Across Tasks and Domains", Filed, June 2021.
Tengfei Ma, Manling Li, Mo Yu, Tian GAO, Lingfei Wu, "Knowledge Graph Compression", Filed, April 2021.
Rajarshi Haldar, Yu Deng, Lingfei Wu, Ruchi Mahindru, Julia Constanze Hockenmaier, Sinem Guven Kaya, "Semi-open Event Schema Induction for Question Answering", Filed, March 2021.
Lingfei Wu, Tengfei Ma, Tian Gao, Xiaojie Guo, "Automated Graph Based Information Extraction", Filed, February 2021.
Xiao Qin, Nasrullah Sheikh, Berthold Reinwald, Lingfei Wu, "Adaptive Self-adversarial Negative Sampling for Graph Neural Network Training", Filed, January 2021.
Lingfei Wu, Lei Yu, Chen Wang, Dakuo Wang, "Visual Question Generation with Answer-awareness and Region-reference", Filed, January 2021.
Lingfei Wu, Jinjun Xiong, Hongyu Gong, Suma Bhat, Wen-Mei Hwu, "Abstract Meaning Representation Parsing with Graph Translation", Filed, December 2020.
Dakuo Wang, Lingfei Wu, Yi Wang, Xuye Liu, Chuang Gan, Si Er Han, Bei Chen, Ji Hui Yang, "Learning-Based Automated Machine Learning Code Annotation in Computational Notebooks", Filed, October 2020.
Dakuo Wang, Lingfei Wu, Xuye Liu, Yi Wang, Chuang Gan, Jing Xu, Xue Ying Zhang, Jun Wang, Jing James Xu, "Learning-based Automated Machine Learning Code Annotation with Graph Neural Network", Filed, November 2020.
Lingfei Wu, Liana Fong, "Semantic Code Retrieval Using Graph Matching", Filed, October 2020.
Lingfei Wu, Chen Wang, "Querying Knowledge Graph with Sub-Graph Matching Networks", Filed, October 2020.
Lingfei Wu, Liana Fong, "Method and System for Grounded Video Description Using Spatial-Temporal Graph-to-Sequence Learning", Filed, July 2020.
Lingfei Wu, Chen Wang, "Method and System for RDF-to-Text Generation with Graph-augmented Structural Neural Encoders", Filed, July 2020.
Lingfei Wu, Yu Chen, Mohammed J. Zaki, "Method and System for Subgraph Guided Knowledge Graph Question Generation with Graph Neural Networks", Filed, July 2020.
Lingfei Wu, Tengfei Ma, "Computing Graph Similarity via Graph Matching", Filed, May 2020.
Lingfei Wu, Yu Chen, Mohammed J. Zaki, "Iterative Deep Graph Learning for Graph Neural Networks", Filed, May 2020.
Lingfei Wu, "Scalable Attributed Graph Embedding for Large-Scale Graph Analytics", Filed, May 2020.
Rajarshi Haldar, Yu Deng, Lingfei Wu, Ruchi Mahindru, Shu Tao, “Unsupervised Event Extraction”, Filed, May 2020.
Lingfei Wu, Jinjun Xiong, Hongyu Gong, Suma Bhat, and Wen-mei Hwu, "Text Style Transfer Using Reinforcement Learning", Filed, April 2020.
Chen Wang, Lingfei Wu, "Automatic Online Log Template Mining", Filed, April 2020.
Lingfei Wu, Yu Chen, Mohammed J. Zaki, “Natural Question Generation via Reinforcement Learning Based Graph-to-Sequence Model”, Filed, January 2020.
Maxwell Crouse, Ibrahim Abdelaziz, Cristina Cornelio, Veronika Thost, Lingfei Wu, Bassem Makni, Kavitha Srinivas, Achille Fokoue-Nkoutche, “Capturing the Global Structure of Logical Formulae with Graph LSTMs”, Filed, November 2019.
Lingfei Wu, Jinjun Xiong, Rajarshi Haldar, Julia Hockenmaier, “Multi-Task Multi-Perspective System for Matching Source Code and Text”, Filed, November 2019.
Lingfei Wu, Siyu Huo, Tengfei Ma, Pin-Yu Chen, Zhao Qin, Eugene Jungsup Lim, Francisco Javier Martin-Martinez, Hui Sun, Benedetto Marelli, Markus Jochen Buehler, "Designing and Folding Structural Proteins from The Primary Amid Acid Sequence", Filed, September 2019.
Lingfei Wu, Yu Chen, Mohammed J. Zaki, "Method and System for Conversational Machine Reading Comprehension via Graph Neural Networks", Filed, August 2019.
Lingfei Wu, Wei Zhang, "Semantic Parsing Using Encoded Structured Representation", Filed, July 2019.
Pin-Yu Chen, Sijia Liu, Lingfei Wu, and Chia-Yu Chen, "Method and System for Testing Adversarial Robustness of AI/ML Systems with Limited Access", Filed, February 2019.
Kun Xu, Lingfei Wu, Zhiguo Wang, and Vadim Sheinin, "Natural Language to Structured Query Generation via Paraphrasing", Filed, February 2019.
Kun Xu, Lingfei Wu, Zhiguo Wang, and Vadim Sheinin, "A Natural Language Generation System Using Graph-to-Sequence Model", Filed, November 2018.
Kun Xu, Lingfei Wu, Zhiguo Wang, and Vadim Sheinin, "Personalized Interactive Semantic Parsing Using A Graph-To-Sequence Model", Patent #10902208 Issued, January 2021.
Lingfei Wu, Kun Xu, Wei Zhang, "Graph Analytics Using Random Graph Embedding", Patent #10936658 Issued, March 2021.
Lingfei Wu, Kun Xu, Pin-Yu Chen, Chia-Yu Chen, “Computational Efficiency in Symbolic Sequence Analytics Using Random Sequence Embeddings”, Filed, May 2018.
Kun Xu, Lingfei Wu, Wei Zhang, Vadim Sheinin, “Interpretable General Reasoning System Using Key Value Memory Networks”, Filed, April 2018.
Pin-Yu Chen, Lingfei Wu, Chia-Yu CHen, Yada Zhu, “Graph Similarity Analytics”, Filed, April 2018.
Lingfei Wu, Sheng Li, Xiang Ni, and Michael Witbrock, "Efficient Large-Scale Kernel Learning Using A Distributed Processing Architecture", Patent #10997525 Issued, May 2021.
Lingfei Wu and Michael Witbrock, "Text Data Representation Learning Using Random Document Embedding", Filed, August 2017.
Lingfei Wu, Jinfeng Yi, Xiao Cao, and Michael Witbrock, “Time-Series Representation Learning via Random Time Warping”, Filed, May 2017.
Lingfei Wu, Wei Tan, Liana Fong, and Michael Witbrock, “High-Performance Block Coordinate Descent Based on L1 Regularized Random Binning”, Patent #10817294 Issued, October 27, 2020.
Lingfei Wu, Wei Tan, Liana Fong, and Michael Witbrock, “Distributed Random Binning Featurization with Hybrid Two-Level Parallelism”, Filed, March 2017.