Guangzhong Sun

Orcid: 0000-0002-0794-7681

According to our database1, Guangzhong Sun authored at least 113 papers between 2004 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
AdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks.
Neural Networks, January, 2024

Pool-based active learning framework for concept prerequisite learning.
J. Intell. Fuzzy Syst., January, 2024

2023
Theoretical guarantee for crowdsourcing learning with unsure option.
Pattern Recognit., May, 2023

Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models.
CoRR, 2023

FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data.
CoRR, 2023

AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks.
CoRR, 2023

Synthesizing Proxy Applications for MPI Programs.
CoRR, 2023

UA-FedRec: Untargeted Attack on Federated News Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Scalable Tracing of MPI Events and Performance Metrics.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

EC-SpMM: Efficient Compilation of SpMM Kernel on GPUs.
Proceedings of the 52nd International Conference on Parallel Processing, 2023

Longtriever: a Pre-trained Long Text Encoder for Dense Document Retrieval.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

GPU Occupancy Prediction of Deep Learning Models Using Graph Neural Network.
Proceedings of the IEEE International Conference on Cluster Computing, 2023

Automated HPC Workload Generation Combining Statistical Modeling and Autoregressive Analysis.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2023

Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Lossy Compression of Communication Traces Using Recurrent Neural Networks.
IEEE Trans. Parallel Distributed Syst., 2022

Multi-Net strategy: Accelerating physics-informed neural networks for solving partial differential equations.
Softw. Pract. Exp., 2022

Robust Quantity-Aware Aggregation for Federated Learning.
CoRR, 2022

A Mutually Reinforced Framework for Pretrained Sentence Embeddings.
CoRR, 2022

UA-FedRec: Untargeted Attack on Federated News Recommendation.
CoRR, 2022

Exercise recommendation method based on knowledge tracing and concept prerequisite relations.
CCF Trans. Pervasive Comput. Interact., 2022

Accelerating GNN Inference by Soft Channel Pruning.
Proceedings of the 13th IEEE International Symposium on Parallel Architectures, 2022

An Efficient Ambient Noise Cross-Correlation Algorithm on Heterogeneous CPU-GPU Cluster.
Proceedings of the 13th IEEE International Symposium on Parallel Architectures, 2022

Effective and Efficient Query-aware Snippet Extraction for Web Search.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Knowledge Enhanced Multi-Interest Network for the Generation of Recommendation Candidates.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Agatha: Smart Contract for DNN Computation.
CoRR, 2021

GraphFormers: GNN-nested Language Models for Linked Text Representation.
CoRR, 2021

Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks.
CoRR, 2021

DebiasedRec: Bias-aware User Modeling and Click Prediction for Personalized News Recommendation.
CoRR, 2021

GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Performance Analysis of Graph Neural Network Frameworks.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2021

A High Performance Computing Method for Noise Cross-Correlation Functions of Seismic Data.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

An Efficient Channel-level Pruning for CNNs without Fine-tuning.
Proceedings of the International Joint Conference on Neural Networks, 2021

DSP-PIGAN: A Precision-Consistency Machine Learning Algorithm for Solving Partial Differential Equations.
Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021

SCG_FBS: A Code Grading Model for Students' Program in Programming Education.
Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021

Active Learning for Concept Prerequisite Learning in Wikipedia.
Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021

Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Automated Performance Modeling of HPC Applications Using Machine Learning.
IEEE Trans. Computers, 2020

A Solution to Privacy Preservation in Publishing Human Trajectories.
KSII Trans. Internet Inf. Syst., 2020

Fast Training of POI Recommendation Models Using Gradient Compression.
Proceedings of the Spatial Data and Intelligence - First International Conference, 2020

KRED: Knowledge-Aware Document Representation for News Recommendations.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Using Small-Scale History Data to Predict Large-Scale Performance of HPC Application.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

An Active Learning Method for Empirical Modeling in Performance Tuning.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

Assessing Student Contributions in Wiki-based Collaborative Writing System.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

KT-XL: A Knowledge Tracing Model for Predicting Learning Performance Based on Transformer-XL.
Proceedings of the ACM TUR-C'20: ACM Turing Celebration Conference, 2020

2019
Fast and Accurate Knowledge-Aware Document Representation Enhancement for News Recommendations.
CoRR, 2019

Accelerating Rule-matching Systems with Learned Rankers.
Proceedings of the 2019 USENIX Annual Technical Conference, 2019

Constructing Skeleton for Parallel Applications with Machine Learning Methods.
Proceedings of the 48th International Conference on Parallel Processing, 2019

News Graph: An Enhanced Knowledge Graph for News Recommendation.
Proceedings of the Second Workshop on Knowledge-aware and Conversational Recommender Systems, 2019

CLS-PROG: an intelligent tool for classifying programs in online judge systems.
Proceedings of the ACM Turing Celebration Conference - China, 2019

A cognitive diagnosis framework based on peer assessment.
Proceedings of the ACM Turing Celebration Conference - China, 2019

2018
Students performance modeling based on behavior pattern.
J. Ambient Intell. Humaniz. Comput., 2018

Metis: Robustly Tuning Tail Latencies of Cloud Systems.
Proceedings of the 2018 USENIX Annual Technical Conference, 2018

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

The framework of a new online judge system for programming education.
Proceedings of ACM Turing Celebration Conference - China, 2018

2017
Robust Spammer Detection in Microblogs: Leveraging User Carefulness.
ACM Trans. Intell. Syst. Technol., 2017

Restaurant Survival Analysis with Heterogeneous Information.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

CCCFNet: A Content-Boosted Collaborative Filtering Neural Network for Cross Domain Recommender Systems.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Poor performance discovery of college students based on behavior pattern.
Proceedings of the 2017 IEEE SmartWorld, 2017

A Multifaceted Model for Cross Domain Recommendation Systems.
Proceedings of the Knowledge Science, Engineering and Management, 2017

Automated Performance Modeling Based on Runtime Feature Detection and Machine Learning.
Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

2016
SPLZ: An efficient algorithm for single source shortest path problem using compression method.
GeoInformatica, 2016

Predicting Social Status via Social Networks: A Case Study on University, Occupation, and Region.
CoRR, 2016

Build Smart Campus Using Human Behavioral Data.
Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016

2015
Highlights from ACM SIGSPATIAL China chapter in 2014.
ACM SIGSPATIAL Special, 2015

A Scheme for Activity Trajectory Dataset Publishing with Privacy Preserved.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

Lifting the Predictability of Human Mobility on Activity Trajectories.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
Highlights from ACM SIGSPATIAL China Chapter in 2013.
ACM SIGSPATIAL Special, 2014

A dynamic path planning algorithm for multi-core navigation device.
Proceedings of the International Conference on Smart Computing, 2014

A Novel Density Based Clustering Algorithm and its Parallelization.
Proceedings of the 15th International Conference on Parallel and Distributed Computing, 2014

A Parallel Implementation of Acoustic Propagation Model on Cloud Platform.
Proceedings of the Sixth International Symposium on Parallel Architectures, 2014

GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

A Novel Dummy-Based Mechanism to Protect Privacy on Trajectories.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013
A New Progressive Algorithm for a Multiple Longest Common Subsequences Problem and Its Efficient Parallelization.
IEEE Trans. Parallel Distributed Syst., 2013

T-Drive: Enhancing Driving Directions with Taxi Drivers' Intelligence.
IEEE Trans. Knowl. Data Eng., 2013

Design, Conduct and Analysis of a Biased Voting Experiment on Human Behavior.
Proceedings of the Behavior and Social Computing, 2013

An Efficient Pre-computation Technique for Approximation Distance Query in Road Networks.
Proceedings of the 2013 IEEE 14th International Conference on Mobile Data Management, Milan, Italy, June 3-6, 2013, 2013

Reconstructing Individual Mobility from Smart Card Transactions: A Space Alignment Approach.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Efficient processing of top-k queries: selective NRA algorithms.
J. Intell. Inf. Syst., 2012

Users sleeping time analysis based on micro-blogging data.
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

Improve Indirect Branch Prediction with Private Cache in Dynamic Binary Translation.
Proceedings of the 14th IEEE International Conference on High Performance Computing and Communication & 9th IEEE International Conference on Embedded Software and Systems, 2012

2011
Parallel and SIMD Optimization of Image Feature Extraction.
Proceedings of the International Conference on Computational Science, 2011

Performance Optimization of Top-k Queries on GPU.
Proceedings of the Fourth International Symposium on Parallel Architectures, 2011

Driving with knowledge from the physical world.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Where to find my next passenger.
Proceedings of the UbiComp 2011: Ubiquitous Computing, 13th International Conference, 2011

2010
Parallelization and optimization of Mfold on shared memory system.
Parallel Comput., 2010

Drive Smartly as a Taxi Driver.
Proceedings of the Symposia and Workshops on Ubiquitous, 2010

Efficient Pipelining Parallel Methods for Image Compositing in Sort-Last Rendering.
Proceedings of the Network and Parallel Computing, IFIP International Conference, 2010

An Interactive-Voting Based Map Matching Algorithm.
Proceedings of the Eleventh International Conference on Mobile Data Management, 2010

Protecting Privacy in Location-Based Services Using K-Anonymity without Cloaked Region.
Proceedings of the Eleventh International Conference on Mobile Data Management, 2010

Efficient Parallel Top-k Computation Algorithm Using Symmetry Breaking.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2010

T-drive: driving directions based on taxi trajectories.
Proceedings of the 18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2010

CkNN monitoring based on parallel pre-computing.
Proceedings of the 18th International Conference on Geoinformatics: GIScience in Change, 2010

2009
A New Approach for Analyzing Average Time Complexity of Population-Based Evolutionary Algorithms on Unimodal Problems.
IEEE Trans. Syst. Man Cybern. Part B, 2009

Selective-NRA Algorithms for Top-k Queries.
Proceedings of the Advances in Data and Web Management, Joint International Conferences, 2009

Efficient Top-<i>k</i> Query Algorithms Using <i>K</i>-Skyband Partition.
Proceedings of the Scalable Information Systems, 4th International ICST Conference, 2009

Parallel Algorithms for Solving Markov Decision Process.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2009

An efficient pre-computation technique for approximation KNN search in road networks.
Proceedings of the 2009 International Workshop on Location Based Social Networks, 2009

Distributed Pipeline Programming Framework for State-Based Pattern.
Proceedings of the Eighth International Conference on Grid and Cooperative Computing, 2009

2008
Improving stability for peer-to-peer multicast overlays by active measurements.
J. Syst. Archit., 2008

2007
Models of parallel computation: a survey and classification.
Frontiers Comput. Sci. China, 2007

Adaptive Scheduling Strategy for Data Stream Management System.
Proceedings of the Advances in Data and Web Management, 2007

Study on Parallel Machine Scheduling Problem with Buffer.
Proceedings of the Proceeding of the Second International Multi-Symposium of Computer and Computational Sciences (IMSCCS 2007), 2007

Single Data Copying for MPI Communication Optimization on Shared Memory System.
Proceedings of the Computational Science, 2007

A Selective Push Algorithm for Cooperative Cache Consistency Maintenance over MANETs.
Proceedings of the Embedded and Ubiquitous Computing, International Conference, 2007

2006
Study on Parallel Computing.
J. Comput. Sci. Technol., 2006

Improved algorithm for finding next-to-shortest paths.
Inf. Process. Lett., 2006

Study on Scheduling Strategy for Global Computing Application.
Proceedings of the Seventh International Conference on Parallel and Distributed Computing, 2006

Job Scheduling for Campus-scale Global Computing with Machine Availability Constraints.
Proceedings of the Interdisciplinary and Multidisciplinary Research in Computer Science, 2006

An Effective Scheduling Algorithm for Homogeneous System.
Proceedings of the Grid and Cooperative Computing, 2006

2005
Incentives for Participating in a Hybrid Peer-to-Peer System.
Proceedings of the Sixth International Conference on Parallel and Distributed Computing, 2005

2004
VAST: A Service Based Resource Integration System for Grid Society.
Proceedings of the Parallel and Distributed Processing and Applications, 2004


  Loading...