公开(公告)号：US20250148431A1

公开(公告)日：2025-05-08

申请号：US18938823

申请日：2024-11-06

Applicant: NEC Laboratories America, Inc.

Inventor： Haoyu Wang ,  Christopher A. White ,  Haifeng Chen ,  LuAn Tang ,  Zhengzhang Chen ,  Xujiang Zhao

IPC: G06Q10/30 ,  G06Q10/0637

Abstract: Systems and methods for an agent-based carbon emission reduction system. A carbon product of a supply chain system can be limited below a carbon product threshold by performing a corrective action to monitored entities based on a calculated carbon emission. The carbon emission can be calculated based on carbon-relevant data and a calculation route by utilizing an agent-based simulation model that simulates a learned relationship between a supply chain system and the carbon-relevant data. The calculation route can be determined based on the carbon-relevant data based on a relevance of a carbon product contribution of monitored entities to a goal of the monitored entities. Carbon-relevant data can be extracted from the monitored entities.

公开(公告)号：US20240160955A1

公开(公告)日：2024-05-16

申请号：US18503517

申请日：2023-11-07

Applicant: NEC Laboratories America, Inc.

Inventor： Xujiang Zhao ,  Yanchi Liu ,  Wei Cheng ,  Haifeng Chen

IPC: G06N5/02 ,  G06F16/332

CPC classification number: G06N5/02 ,  G06F16/3329

Abstract: A computer-implemented method for optimized decision making that includes labeling text data extracted from an inquiry, and linking labeled text to a knowledge graph entity. The method may further include retrieving from the knowledge graph reasoning paths; and removing irrelevant knowledge graph reasoning paths using a language model trained artificial intelligence consistent with the labeling of the text data. The method may further include employing remaining relevant graph reasoning paths to provide an answer prediction.

公开(公告)号：US20250104824A1

公开(公告)日：2025-03-27

申请号：US18828410

申请日：2024-09-09

Applicant: NEC Laboratories America, Inc.

Inventor： Wei Cheng ,  Wenchao Yu ,  Yanchi Liu ,  Xujiang Zhao ,  Haifeng Chen ,  Yijia Xiao

IPC: G16H20/00 ,  G06F21/62 ,  G06F40/284 ,  G16H10/60

Abstract: Methods and systems include annotating a set of training data to indicate tokens that are sensitive. Instructions are generated based on the training data, including original token sequences and respective substituted token sequences. A language model is fine-tuned using the instructions with a penalty-based loss function to generate a privacy-protected language model.

公开(公告)号：US20240379200A1

公开(公告)日：2024-11-14

申请号：US18649145

申请日：2024-04-29

Applicant: NEC Laboratories America, Inc.

Inventor： Xujiang Zhao ,  Haifeng Chen ,  Wei Cheng ,  Yanchi Liu ,  Zhengzhang Chen ,  Haoyu Wang

IPC: G16H10/60 ,  G06F40/40

Abstract: Methods and systems for information extraction include configuring a language model with an information extraction instruction prompt and at least one labeled example prompt. Configuration of the language model is validated using at least one validation prompt. Errors made by the language model in response to the at least one validation prompt are corrected using a correction prompt. Information extraction is performed on an unlabeled sentence using the language model to identify a relation from the unlabeled sentence. An action is performed responsive to the identified relation.

公开(公告)号：US20250062953A1

公开(公告)日：2025-02-20

申请号：US18800726

申请日：2024-08-12

Applicant: NEC Laboratories America, Inc.

Inventor： Zhengzhang Chen ,  Haifeng Chen ,  Haoyu Wang ,  Xujiang Zhao ,  Chengyuan Deng

IPC: H04L41/08

Abstract: Systems and methods for correlation-aware explainable online change point detection. Collected data metrics from the cloud system can be transformed to correlation matrices. Correlation shifts from the correlation matrices can be captured as differences of correlation between batches of collected data metrics through determined statistics of the batches of collected data metrics across timesteps. Change points in the cloud system can be detected based on the correlation shifts to obtain detected change points. System maintenance can be performed autonomously based on the detected change points from identified system entities to optimize the cloud system with an updated configuration.

公开(公告)号：US20240378447A1

公开(公告)日：2024-11-14

申请号：US18650289

申请日：2024-04-30

Applicant: NEC Laboratories America, Inc.

Inventor： Xujiang Zhao ,  Haifeng Chen ,  Wei Cheng ,  Yanchi Liu

IPC: G06N3/09 ,  G06F40/205

Abstract: Systems and methods are provided for extracting relations from text data, including collecting labeled text data from diverse sources, including digital archives and online repositories, each source including sentences annotated with detailed grammatical structures. Initial relational data is generated from the grammatical structures by applying advanced parsing and machine learning techniques using a sophisticated rule-based algorithm. Training sets are generated for enhancing the diversity and complexity of a relation dataset by applying data augmentation techniques to the initial relational data. A neural network model is trained using an array of semantically equivalent but syntactically varied prompt templates designed to test and refine linguistic capabilities of a model. A final relation extraction output is determined by implementing a vote-based decision system integrating statistical analysis and utilizing a weighted voting mechanism to optimize extraction accuracy and reliability.

公开(公告)号：US20240136063A1

公开(公告)日：2024-04-25

申请号：US18481383

申请日：2023-10-05

Applicant: NEC Laboratories America, Inc.

Inventor： Xujiang Zhao ,  Haifeng Chen

IPC: G16H50/20 ,  G16H50/70

CPC classification number: G16H50/20 ,  G16H50/70

Abstract: Systems and methods for out-of-distribution detection of nodes in a graph includes collecting evidence to quantify predictive uncertainty of diverse labels of nodes in a graph of nodes and edges using positive evidence from labels of training nodes of a multi-label evidential graph neural network. Multi-label opinions are generated including belief and disbelief for the diverse labels. The opinions are combined into a joint belief by employing a comultiplication operation of binomial opinions. The joint belief is classified to detect out-of-distribution nodes of the graph. A corrective action is performed responsive to a detection of an out-of-distribution node. The systems and methods can employ evidential deep learning.

公开(公告)号：US20250094271A1

公开(公告)日：2025-03-20

申请号：US18829545

申请日：2024-09-10

Applicant: NEC Laboratories America, Inc.

Inventor： Zhengzhang Chen ,  Lecheng Zheng ,  Haifeng Chen ,  Yanchi Liu ,  Xujiang Zhao ,  Yuncong Chen ,  LuAn Tang

IPC: G06F11/07 ,  G06N3/08 ,  G16H10/60

Abstract: Systems and methods for log representation learning for automated system maintenance. An optimized parser can transform collected system logs into log templates. A tokenizer can tokenize the log templates partitioned into time windows to obtain log template tokens. The log template tokens can train a language model (LM) with deep learning to obtain a trained LM. The trained LM can detect anomalies from system logs to obtain detected anomalies. A corrective action can be performed on a monitored entity based on the detected anomalies.

公开(公告)号：US20230401851A1

公开(公告)日：2023-12-14

申请号：US18332057

申请日：2023-06-09

Applicant: NEC Laboratories America, Inc.

Inventor： Xuchao Zhang ,  Xujiang Zhao ,  Yuncong Chen ,  Wenchao Yu ,  Haifeng Chen ,  Wei Cheng

IPC: G06V20/40 ,  G06V20/52 ,  G06V10/82

CPC classification number: G06V20/44 ,  G06V20/52 ,  G06V10/82 ,  G06T2207/20081

Abstract: Methods and systems for event detection include training a joint neural network model with respective neural networks for audio data and video data relating to a same scene. The joint neural network model is configured to output a belief value, a disbelief value, and an uncertainty value. It is determined that an event has occurred based on the belief value, the disbelief value, and the uncertainty value.

公开(公告)号：US20230074002A1

公开(公告)日：2023-03-09

申请号：US17892192

申请日：2022-08-22

Applicant: NEC Laboratories America, Inc.

Inventor： Xuchao Zhang ,  Yuncong Chen ,  Haifeng Chen ,  Wenchao Yu ,  Wei Cheng ,  Xujiang Zhao

IPC: G01H3/08 ,  G06N3/04

Abstract: Systems and methods for Evidence-based Sound Event Early Detection is provided. The system/method includes parsing collected labeled audio corpus data and real time audio streaming data utilizing mel-spectrogram, encoding features of the parsed mel-spectrograms using a trained neural network, and generating a final predicted result for a sound event based on the belief, disbelief and uncertainty outputs from the encoded mel-spectrograms.