Chen Ling

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Cooperative Service Caching in Vehicular Edge Computing Networks Based on Transportation Correlation Analysis.
IEEE Internet Things J., June, 2024

Security Evaluation of Lightweight Block Ciphers Against Mixture Differential Cryptanalysis.
IEEE Internet Things J., June, 2024

Quantifying uncertainty in graph neural network explanations.
Frontiers Big Data, 2024

Research on public opinion effecting on stock price during crises based on model checking.
Expert Syst. Appl., 2024

TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs.
CoRR, 2024

TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations.
CoRR, 2024

Link Prediction on Textual Edge Graphs.
CoRR, 2024

GRAG: Graph Retrieval-Augmented Generation.
CoRR, 2024

Source Localization for Cross Network Information Diffusion.
CoRR, 2024

Gradient-Free Adaptive Global Pruning for Pre-trained Language Models.
CoRR, 2024

MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization.
CoRR, 2024

ELAD: Explanation-Guided Large Language Models Active Distillation.
CoRR, 2024

A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models.
CoRR, 2024

Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models.
CoRR, 2024

Gene-associated Disease Discovery Powered by Large Language Models.
CoRR, 2024

Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models.
CoRR, 2024

Helper Recommendation with seniority control in Online Health Community.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Exploring the impact of investor's sentiment tendency in varying input window length for stock price prediction.
Multim. Tools Appl., July, 2023

Motif-guided heterogeneous graph deep generation.
Knowl. Inf. Syst., July, 2023

Multimodal sentiment analysis for social media contents during public emergencies.
J. Data Inf. Sci., June, 2023

An Edge Server Placement Algorithm Based on Graph Convolution Network.
IEEE Trans. Veh. Technol., April, 2023

Understanding the Use of Images to Spread COVID-19 Misinformation on Twitter.
Proc. ACM Hum. Comput. Interact., April, 2023

Getting Meta: A Multimodal Approach for Detecting Unsafe Conversations within Instagram Direct Messages of Youth.
Proc. ACM Hum. Comput. Interact., April, 2023

K-anonymity privacy-preserving algorithm for IoT applications in virtualization and edge computing.
Clust. Comput., April, 2023

Comparative Dynamics in Differential Games: A Note on the Differentiability of Solutions.
J. Optim. Theory Appl., March, 2023

Study on the Voltage Reference Noise at Sub-Millihertz Frequencies for Developing an Ultra-Stable Temperature Measurement Subsystem.
Sensors, 2023

Open-ended Commonsense Reasoning with Unrestricted Answer Scope.
CoRR, 2023

Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty.
CoRR, 2023

A Survey on Knowledge Graphs for Healthcare: Resources, Applications, and Promises.
CoRR, 2023

Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models.
CoRR, 2023

Deep Graph Representation Learning and Optimization for Influence Maximization.
CoRR, 2023

Knowledge-enhanced Neural Machine Reasoning: A Review.
CoRR, 2023

Beyond Fish and Bicycles: Exploring the Varieties of Online Women's Ideological Spaces.
Proceedings of the 15th ACM Web Science Conference 2023, 2023

Saliency-Augmented Memory Completion for Continual Learning.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

A Survey: The Sensor-Based Method for Sign Language Recognition.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

"Learn the Facts about COVID-19": Analyzing the Use of Warning Labels on TikTok Videos.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Deep Graph Representation Learning and Optimization for Influence Maximization.
Proceedings of the International Conference on Machine Learning, 2023

Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice.
Proceedings of the 8th IEEE European Symposium on Security and Privacy, 2023

Open-ended Commonsense Reasoning with Unrestricted Answer Candidates.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A $2.81\mu \mathrm{W}$, Energy Efficient MFCC Feature Extractor for Keyword-Spotting in 65nm CMOS.
Proceedings of the 8th International Conference on Computer and Communication Systems, 2023

2022
Comparative Dynamics and Envelope Theorems of Open-Loop Stackelberg Equilibria in Differential Games.
IGTR, 2022

A First Look at Zoombombing.
IEEE Secur. Priv., 2022

SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice.
CoRR, 2022

Slapping Cats, Bopping Heads, and Oreo Shakes: Understanding Indicators of Virality in TikTok Short Videos.
Proceedings of the WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, June 26, 2022

Malware Detected and Tell Me Why: An Verifiable Malware Detection Model with Graph Metric Learning.
Proceedings of the Science of Cyber Security - 4th International Conference, 2022

STGEN: Deep Continuous-Time Spatiotemporal Graph Generation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

ConCas: Cascade Popularity Prediction Based on Topic-Aware Graph Contrastive Learning.
Proceedings of the Knowledge Science, Engineering and Management, 2022

Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Design of a sweptback wing of water-air amphibious trans-media unmanned vehicles.
Proceedings of the IPEC 2022: 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers, Dalian, China, April 14, 2022

DeepGAR: Deep Graph Learning for Analogical Reasoning.
Proceedings of the IEEE International Conference on Data Mining, 2022

2021
Dissecting the Meme Magic: Understanding Indicators of Virality in Image Memes.
Proc. ACM Hum. Comput. Interact., 2021

Leveraging Transfer Learning and Chemical Principles toward Interpretable Materials Properties.
J. Chem. Inf. Model., 2021

Sentiment classification using attention mechanism and bidirectional long short-term memory network.
Appl. Soft Comput., 2021

TG-GAN: Continuous-time Temporal Graph Deep Generative Models with Time-Validity Constraints.
Proceedings of the WWW '21: The Web Conference 2021, 2021

"Go eat a bat, Chang!": On the Emergence of Sinophobic Behavior on Web Communities in the Face of COVID-19.
Proceedings of the WWW '21: The Web Conference 2021, 2021

On Forecasting Dynamics In Online Discussion Forums.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Deep Generation of Heterogeneous Networks.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
An improved diffusion model for supply chain emergency in uncertain environment.
Soft Comput., 2020

Network perception task migration in cloud-edge fusion computing.
J. Cloud Comput., 2020

"Go eat a bat, Chang!": An Early Look on the Emergence of Sinophobic Behavior on Web Communities in the Face of COVID-19.
CoRR, 2020

SocialGrid: A TCN-enhanced Method for Online Discussion Forecasting.
CoRR, 2020

Time-constrained Adaptive Influence Maximization.
CoRR, 2020

RFRSF: Employee Turnover Prediction Based on Random Forests and Survival Analysis.
Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

Examining the Impact of Social Distance on the Reaction to a Tragedy. A Case Study on Sulli's Death.
Proceedings of the Workshop Proceedings of the 14th International AAAI Conference on Web and Social Media, 2020

NesTPP: Modeling Thread Dynamics in Online Discussion Forums.
Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020

2019
Multirate Sampled-Data Observer Design Based on a Continuous-Time Design.
IEEE Trans. Autom. Control., 2019

Nonblind Image Deblurring Based on Bi-Composition Decomposition by Local Smoothness and Nonlocal Self-Similarity Priors.
IEEE Access, 2019

Customer Purchase Intent Prediction Under Online Multi-Channel Promotion: A Feature-Combined Deep Learning Framework.
IEEE Access, 2019

Human Movements Classification Using Multi-channel Surface EMG Signals and Deep Learning Technique.
Proceedings of the 2019 International Conference on Cyberworlds, 2019

Multi-rate Sampled-data Observer Design for Nonlinear Systems with Asynchronous and Delayed Measurements.
Proceedings of the 2019 American Control Conference, 2019

2018
LinCa: A Page Loading Time Optimization Approach for Users Subject to Internet Access Restriction.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Blocking Time-Based MPTCP Scheduler for Heterogeneous Networks.
Proceedings of the Cloud Computing and Security - 4th International Conference, 2018

2017
Rodent brain extraction using B-spline based deformable model.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Security challenges and risk evaluation framework for industrial wireless sensor networks.
Proceedings of the 4th International Conference on Control, 2017

Multi-rate sampled-data observers based on a continuous-time design.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Multi-rate observer design using asynchronous inter-sample output predictions.
Proceedings of the 2017 American Control Conference, 2017

2015
Intrinsic Comparative Dynamics of Locally Differentiable Feedback Stackelberg Equilibria.
Dyn. Games Appl., 2015

2014
Semi-fragile Watermarking Scheme for H.264/AVC Video Content Authentication Based on Manifold Feature.
KSII Trans. Internet Inf. Syst., 2014

2013
DR-Marker: A Novel Diminishing-Reality-Based AR Registration.
Proceedings of the Seventh International Conference on Image and Graphics, 2013

Improved Video Denoising Algorithm Based on Spatial-Temporal Combination.
Proceedings of the Seventh International Conference on Image and Graphics, 2013

2012
The Envelope Theorem for Locally Differentiable Nash Equilibria of Discounted and Autonomous Infinite Horizon Differential Games.
Dyn. Games Appl., 2012

2011
The Evaluation of Hydraulic Engineering Scheme Based on Choquet Fuzzy Integral.
Proceedings of the Modeling Risk Management for Resources and Environment in China, 2011

A Qualitative Characterization of Symmetric Open-Loop Nash Equilibria in Discounted Infinite Horizon Differential Games.
J. Optim. Theory Appl., 2011

2010
Building the New-generation China Academic Digital Library Information System (CADLIS): A Review and Prospectus.
D Lib Mag., 2010

2006
Neural Network Approach for Multiple Fault Test of Digital Circuit.
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

2005
Computing High Dimensional MOLAP with Parallel Shell Mini-cubes.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005


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