Yangming Li

Orcid: 0000-0002-9794-8054

According to our database1, Yangming Li authored at least 78 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Bellman Diffusion: Generative Modeling as Learning a Linear Operator in the Distribution Space.
CoRR, 2024

A Study of Posterior Stability for Time-Series Latent Diffusion.
CoRR, 2024

Risk-Sensitive Diffusion: Learning the Underlying Distribution from Noisy Samples.
CoRR, 2024

On Error Propagation of Diffusion Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Optimization of Iterative Decoding for Polar Product Codes.
Proceedings of the IEEE VTS Asia Pacific Wireless Communications Symposium, 2024

2023
Automatic summarization of endoscopic skull base surgical videos through object detection and hidden Markov modeling.
Comput. Medical Imaging Graph., September, 2023

Deep causal learning for robotic intelligence.
Frontiers Neurorobotics, June, 2023

TS-Diffusion: Generating Highly Complex Time Series with Diffusion Models.
CoRR, 2023

Do Diffusion Models Suffer Error Propagation? Theoretical Analysis and Consistency Regularization.
CoRR, 2023

3 Dimensional Dense Reconstruction: A Review of Algorithms and Dataset.
CoRR, 2023

A Simple Yet Effective Approach to Structured Knowledge Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Multi-domain Spoken Language Understanding Using Domain- and Task-aware Parameterization.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022

Efficient Sub-structured Knowledge Distillation.
CoRR, 2022

Real-time virtual intraoperative CT in endoscopic sinus surgery.
Int. J. Comput. Assist. Radiol. Surg., 2022

Rethinking Negative Sampling for Handling Missing Entity Annotations.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Knowing Where to Leverage: Context-Aware Graph Convolutional Network With an Adaptive Fusion Layer for Contextual Spoken Language Understanding.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Real-time Virtual Intraoperative CT for Image Guided Surgery.
CoRR, 2021

Real-time Informative Surgical Skill Assessment with Gaussian Process Learning.
CoRR, 2021

Rethinking Negative Sampling for Unlabeled Entity Problem in Named Entity Recognition.
CoRR, 2021

Neural Sequence Segmentation as Determining the Leftmost Segments.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Dense Depth Estimation from Stereo Endoscopy Videos Using Unsupervised Optical Flow Methods.
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

Learning Surgical Motion Pattern from Small Data in Endoscopic Sinus and Skull Base Surgeries.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition.
Proceedings of the 9th International Conference on Learning Representations, 2021

Fine-grained Entity Typing without Knowledge Base.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Segmenting Natural Language Sentences via Lexical Unit Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

TexSmart: A System for Enhanced Natural Language Understanding.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Rewriter-Evaluator Architecture for Neural Machine Translation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Interpretable NLG for Task-oriented Dialogue Systems with Heterogeneous Rendering Machines.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Discrete Computational Neural Dynamics Models for Solving Time-Dependent Sylvester Equation With Applications to Robotics and MIMO Systems.
IEEE Trans. Ind. Informatics, 2020

Towards Better Surgical Instrument Segmentation in Endoscopic Vision: Multi-Angle Feature Aggregation and Contour Supervision.
IEEE Robotics Autom. Lett., 2020

TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis.
CoRR, 2020

Rewriter-Evaluator Framework for Neural Machine Translation.
CoRR, 2020

Multi-Domain Spoken Language Understanding Using Domain- and Task-Aware Parameterization.
CoRR, 2020

LC-GAN: Image-to-image Translation Based on Generative Adversarial Network for Endoscopic Images.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Collaborative Robotics Toolkit (CRTK): Open Software Framework for Surgical Robotics Research.
Proceedings of the Fourth IEEE International Conference on Robotic Computing, 2020

Slot-consistent NLG for Task-oriented Dialogue Systems with Iterative Rectification Network.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Handling Rare Entities for Neural Sequence Labeling.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Span-Based Neural Buffer: Towards Efficient and Effective Utilization of Long-Distance Context for Neural Sequence Models.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Model-Based Recurrent Neural Network With Randomness for Efficient Control With Applications.
IEEE Trans. Ind. Informatics, 2019

Robotic Supervised Autonomy: A Review.
CoRR, 2019

Raven: Open Surgical Robotic Platforms.
CoRR, 2019

Surgical Instrument Segmentation for Endoscopic Vision with Data Fusion of rediction and Kinematic Pose.
Proceedings of the International Conference on Robotics and Automation, 2019

Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Neural Dynamics for Cooperative Control of Redundant Robot Manipulators.
IEEE Trans. Ind. Informatics, 2018

STMVO: biologically inspired monocular visual odometry.
Neural Comput. Appl., 2018

Editorial: Neural & Bio-inspired Processing and Robot Control.
Frontiers Neurorobotics, 2018

Soft-obstacle Avoidance for Redundant Manipulators with Recurrent Neural Network.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

A Novel Recurrent Neural Network for Improving Redundant Manipulator Motion Planning Completeness.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Distributed Recurrent Neural Networks for Cooperative Control of Manipulators: A Game-Theoretic Perspective.
IEEE Trans. Neural Networks Learn. Syst., 2017

Gaussian Process Regression for Sensorless Grip Force Estimation of Cable-Driven Elongated Surgical Instruments.
IEEE Robotics Autom. Lett., 2017

Improving control precision and motion adaptiveness for surgical robot with recurrent neural network.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Roboscope: A flexible and bendable surgical robot for single portal Minimally Invasive Surgery.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
Simulation Results on Selector Adaptation in Behavior Trees.
CoRR, 2016

Hysteresis model of longitudinally loaded cable for cable driven robots and identification of the parameters.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Dynamic modeling of cable driven elongated surgical instruments for sensorless grip force estimation.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Unscented Kalman Filter and 3D vision to improve cable driven surgical robot joint angle estimation.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015
Atlas and feature based 3D pathway visualization enhancement for skull base pre-operative fast planning from head CT.
Proceedings of the Medical Imaging 2015: Image-Guided Procedures, 2015

Improving position precision of a servo-controlled elastic cable driven surgical robot using Unscented Kalman Filter.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2014
Fast and Robust Data Association Using Posterior Based Approximate Joint Compatibility Test.
IEEE Trans. Ind. Informatics, 2014

Nonlinearly Activated Neural Network for Solving Time-Varying Complex Sylvester Equation.
IEEE Trans. Cybern., 2014

2013
Selective Positive-Negative Feedback Produces the Winner-Take-All Competition in Recurrent Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2013

Using Laplacian Eigenmap as Heuristic Information to Solve Nonlinear Constraints Defined on a Graph and Its Application in Distributed Range-Free Localization of Wireless Sensor Networks.
Neural Process. Lett., 2013

A class of finite-time dual neural networks for solving quadratic programming problems and its <i>k</i>-winners-take-all application.
Neural Networks, 2013

Decentralized control of collaborative redundant manipulators with partial command coverage via locally connected recurrent neural networks.
Neural Comput. Appl., 2013

A biologically inspired solution to simultaneous localization and consistent mapping in dynamic environments.
Neurocomputing, 2013

Perception, Reaction, and Cognition in Wireless Sensor Networks.
Int. J. Distributed Sens. Networks, 2013

2012
Decentralized kinematic control of a class of collaborative redundant manipulators via recurrent neural networks.
Neurocomputing, 2012

IPJC: The Incremental Posterior Joint Compatibility test for fast feature cloud matching.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

2011
Structure tensors for general purpose LIDAR feature extraction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010
A General Purpose Feature Extractor for Light Detection and Ranging Data.
Sensors, 2010

Extracting general-purpose features from LIDAR data.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2007
A quadtree based neural network approach to real-time path planning.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2007

SP-NN: A novel neural network approach for path planning.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2007

Data fusion based on RBF and nonparametric estimation for localization in Wireless Sensor Networks.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2007

Energy efficient head node selection algorithm in wireless sensor networks.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2007


  Loading...