Zhenjie Zhang

Orcid: 0000-0001-6557-0758

According to our database1, Zhenjie Zhang authored at least 127 papers between 2005 and 2024.

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

Timeline

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Bibliography

2024
Observer-Based Fuzzy Adaptive Fault-Tolerant Control for NSC System of USV With Sideslip Angle and Steering Machine Fault.
IEEE Trans. Intell. Veh., January, 2024

Compatible multi-model output fusion for complex systems modeling via set operation-based focus data identification.
J. Comput. Sci., 2024

Aggressive Post-Training Compression on Extremely Large Language Models.
CoRR, 2024

Proof of Quality: A Costless Paradigm for Trustless Generative AI Model Inference on Blockchains.
CoRR, 2024

Fault diagnosis method via one vs rest evidence classifier considering imprecise feature samples.
Appl. Soft Comput., 2024

Infrared Image Enhancement Based on Multiple Scale Retinex and Sequential Guided Image Filter.
Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning, 2024

2023
Rotating machinery fault diagnosis based on feature extraction via an unsupervised graph neural network.
Appl. Intell., September, 2023

CN-MgMP: a multi-granularity module partition approach for complex mechanical products based on complex network.
Appl. Intell., July, 2023

NIOT: A Novel Inference Optimization of Transformers on Modern CPUs.
IEEE Trans. Parallel Distributed Syst., June, 2023

A Scalable Query-Aware Enormous Database Generator for Database Evaluation.
IEEE Trans. Knowl. Data Eng., May, 2023

On the size-dependent bending and buckling of the partially covered laminated microplate.
Eng. Comput., February, 2023

GENET: Unleashing the Power of Side Information for Recommendation via Hypergraph Pre-training.
CoRR, 2023

Functional importance evaluation approach for cloud manufacturing services based on complex network and evidential reasoning rule.
Comput. Ind. Eng., 2023

Practical Edge Kernels for Integer-Only Vision Transformers Under Post-training Quantization.
Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

Amortized Variational Inference via Nosé-Hoover Thermostat Hamiltonian Monte Carlo.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
ByteGraph: A High-Performance Distributed Graph Database in ByteDance.
Proc. VLDB Endow., 2022

Intelligent identification for vertical track irregularity based on multi-level evidential reasoning rule model.
Appl. Intell., 2022

Speech Fusion to Face: Bridging the Gap Between Human's Vocal Characteristics and Facial Imaging.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

HARL: Hierarchical Adaptive Reinforcement Learning Based Auto Scheduler for Neural Networks.
Proceedings of the 51st International Conference on Parallel Processing, 2022

Effectiveness of Malicious Behavior and Its Impact on Crowdsourcing.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022

AIS-Based Vessel Traffic Flow Prediction Using Combined EMD-LSTM Method.
Proceedings of the 4th International Conference on Advanced Information Science and System, 2022

2021
Causal Discovery with Confounding Cascade Nonlinear Additive Noise Models.
ACM Trans. Intell. Syst. Technol., 2021

Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems.
ACM Trans. Intell. Syst. Technol., 2021

A novel nonlinear causal inference approach using vector-based belief rule base.
Int. J. Intell. Syst., 2021

TransMask: A Compact and Fast Speech Separation Model Based on Transformer.
Proceedings of the IEEE International Conference on Acoustics, 2021

Time Series Domain Adaptation via Sparse Associative Structure Alignment.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
DACH: Domain Adaptation Without Domain Information.
IEEE Trans. Neural Networks Learn. Syst., 2020

A novel complex manufacturing business process decomposition approach in cloud manufacturing.
Comput. Ind. Eng., 2020

X-TaSNet: Robust and Accurate Time-Domain Speaker Extraction Network.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

GAZEV: GAN-Based Zero-Shot Voice Conversion Over Non-Parallel Speech Corpus.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Meta Multi-Task Learning for Speech Emotion Recognition.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

PA-Tree: Polled-Mode Asynchronous B+ Tree for NVMe.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

DRS+: Load Shedding Meets Resource Auto-Scaling in Distributed Stream Processing.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

2019
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems.
CoRR, 2019

Causal Discovery with Cascade Nonlinear Additive Noise Models.
CoRR, 2019

NADAQ: Natural Language Database Querying Based on Deep Learning.
IEEE Access, 2019

Elasticutor: Rapid Elasticity for Realtime Stateful Stream Processing.
Proceedings of the 2019 International Conference on Management of Data, 2019

Causal Discovery with Cascade Nonlinear Additive Noise Model.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

An Algorithm for Solving the Important Links of the Transportation Network Based on Connect Reliability.
Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019

2018
Distributed Stream Rebalance for Stateful Operator Under Workload Variance.
IEEE Trans. Parallel Distributed Syst., 2018

Sophisticated Merging Over Random Partitions: A Scalable and Robust Causal Discovery Approach.
IEEE Trans. Neural Networks Learn. Syst., 2018

A component-driven distributed framework for real-time video dehazing.
Multim. Tools Appl., 2018

Touchstone: Generating Enormous Query-Aware Test Databases.
Proceedings of the 2018 USENIX Annual Technical Conference, 2018

Causal Discovery from Discrete Data using Hidden Compact Representation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

An Encoder-Decoder Framework Translating Natural Language to Database Queries.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Heterogeneous Embedding Propagation for Large-Scale E-Commerce User Alignment.
Proceedings of the IEEE International Conference on Data Mining, 2018

Waterwheel: Realtime Indexing and Temporal Range Query Processing over Massive Data Streams.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

HaaS: Cloud-Based Real-Time Data Analytics with Heterogeneity-Aware Scheduling.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

SELF: Structural Equational Likelihood Framework for Causal Discovery.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
DRS: Auto-Scaling for Real-Time Stream Analytics.
IEEE/ACM Trans. Netw., 2017

Understanding Social Causalities Behind Human Action Sequences.
IEEE Trans. Neural Networks Learn. Syst., 2017

DITIR: Distributed Index for High Throughput Trajectory Insertion and Real-time Temporal Range Query.
Proc. VLDB Endow., 2017

An Encoder-Decoder Framework Translating Natural Language to Database Queries.
CoRR, 2017

SADA: A General Framework to Support Robust Causation Discovery with Theoretical Guarantee.
CoRR, 2017

PrivSuper: A Superset-First Approach to Frequent Itemset Mining under Differential Privacy.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Vibration Analysis for IoT Enabled Predictive Maintenance.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Distributed Publish/Subscribe Query Processing on the Spatio-Textual Data Stream.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Parallel Stream Processing Against Workload Skewness and Variance.
Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing, 2017

Component-Based Distributed Framework for Coherent and Real-Time Video Dehazing.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

Data Driven Chiller Plant Energy Optimization with Domain Knowledge.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
A General Recommendation Model for Heterogeneous Networks.
IEEE Trans. Knowl. Data Eng., 2016

Optimal Linear Aggregate Query Processing under Approximate Differential Privacy.
CoRR, 2016

Auction-based cloud service differentiation with service level objectives.
Comput. Networks, 2016

An index scheme for fast data stream to distributed append-only store.
Proceedings of the 19th International Workshop on Web and Databases, 2016

Elastic Pipelining in an In-Memory Database Cluster.
Proceedings of the 2016 International Conference on Management of Data, 2016

Multi-Domain Manifold Learning for Drug-Target Interaction Prediction.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Convex Optimization for Linear Query Processing under Approximate Differential Privacy.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Mercury: Metro density prediction with recurrent neural network on streaming CDR data.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Distributed Representations for Building Profiles of Users and Items from Text Reviews.
Proceedings of the COLING 2016, 2016

Cost-Effective Stream Join Algorithm on Cloud System.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Enhancing Topic Modeling on Short Texts with Crowdsourcing.
Proceedings of The 8th Asian Conference on Machine Learning, 2016

2015
Optimizing Batch Linear Queries under Exact and Approximate Differential Privacy.
ACM Trans. Database Syst., 2015

Efficient Similarity Join Based on Earth Mover's Distance Using MapReduce.
IEEE Trans. Knowl. Data Eng., 2015

NUMA-Aware Scalable and Efficient In-Memory Aggregation on Large Domains.
IEEE Trans. Knowl. Data Eng., 2015

Optimal Operator State Migration for Elastic Data Stream Processing.
CoRR, 2015

Deterministic identification of specific individuals from GWAS results.
Bioinform., 2015

LiveTraj: Real-Time Trajectory Tracking over Live Video Streams.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Dish comment summarization based on bilateral topic analysis.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

PABIRS: A data access middleware for distributed file systems.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

A general graph-based model for recommendation in event-based social networks.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Chronos: An elastic parallel framework for stream benchmark generation and simulation.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

DRS: Dynamic Resource Scheduling for Real-Time Analytics over Fast Streams.
Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

2014
K-Anonymity for Crowdsourcing Database.
IEEE Trans. Knowl. Data Eng., 2014

A general framework of hierarchical clustering and its applications.
Inf. Sci., 2014

2013
Differentially private histogram publication.
VLDB J., 2013

Efficient and Effective KNN Sequence Search with Approximate n-grams.
Proc. VLDB Endow., 2013

Causal gene identification using combinatorial V-structure search.
Neural Networks, 2013

Low-rank quadratic semidefinite programming.
Neurocomputing, 2013

PrivGene: differentially private model fitting using genetic algorithms.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Resa: realtime elastic streaming analytics in the cloud.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

SADA: A General Framework to Support Robust Causation Discovery.
Proceedings of the 30th International Conference on Machine Learning, 2013

C-Cube: Elastic continuous clustering in the cloud.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Query optimization for differentially private data management systems.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

ABACUS: An Auction-Based Approach to Cloud Service Differentiation.
Proceedings of the 2013 IEEE International Conference on Cloud Engineering, 2013

2012
An adaptive updating protocol for reducing moving object database workload.
VLDB J., 2012

Functional Mechanism: Regression Analysis under Differential Privacy.
Proc. VLDB Endow., 2012

Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy.
Proc. VLDB Endow., 2012

Differential privacy in data publication and analysis.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

DP-tree: indexing multi-dimensional data under differential privacy (abstract only).
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Demonstration of Damson: Differential Privacy for Analysis of Large Data.
Proceedings of the 18th IEEE International Conference on Parallel and Distributed Systems, 2012

Differentially Private Histogram Publication.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

EUDEMON: A System for Online Video Frame Copy Detection by Earth Mover's Distance.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

Supporting top-K item exchange recommendations in large online communities.
Proceedings of the 15th International Conference on Extending Database Technology, 2012

RDF pattern matching using sortable views.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Flexible and Efficient Resolution of Skyline Query Size Constraints.
IEEE Trans. Knowl. Data Eng., 2011

What is Unequal among the Equals? Ranking Equivalent Rules from Gene Expression Data.
IEEE Trans. Knowl. Data Eng., 2011

Collaborative Filtering with Personalized Skylines.
IEEE Trans. Knowl. Data Eng., 2011

BASSUM: A Bayesian semi-supervised method for classification feature selection.
Pattern Recognit., 2011

Compressive mechanism: utilizing sparse representation in differential privacy.
Proceedings of the 10th annual ACM workshop on Privacy in the electronic society, 2011

2010
Understanding the meaning of a shifted sky: a general framework on extending skyline query.
VLDB J., 2010

Efficient and Effective Similarity Search over Probabilistic Data based on Earth Mover's Distance.
Proc. VLDB Endow., 2010

An Adaptive Updating Protocol for Reducing Moving Object Databases Workload.
Proc. VLDB Endow., 2010

Bed-tree: an all-purpose index structure for string similarity search based on edit distance.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

2009
On domination game analysis for microeconomic data mining.
ACM Trans. Knowl. Discov. Data, 2009

Similarity Search on Bregman Divergence: Towards Non-Metric Indexing.
Proc. VLDB Endow., 2009

Effectively Indexing Uncertain Moving Objects for Predictive Queries.
Proc. VLDB Endow., 2009

Kernel-based skyline cardinality estimation.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

Minimizing the communication cost for continuous skyline maintenance.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

2008
Continuous k-Means Monitoring over Moving Objects.
IEEE Trans. Knowl. Data Eng., 2008

Estimating local optimums in EM algorithm over Gaussian mixture model.
Proceedings of the Machine Learning, 2008

Uncertain Clustering: Models, Methods and Applications.
Proceedings of the 14th International Conference on Management of Data, 2008

2006
Relaxed space bounding for moving objects: a case for the buddy tree.
SIGMOD Rec., 2006

A false negative approach to mining frequent itemsets from high speed transactional data streams.
Inf. Sci., 2006

Finding k-dominant skylines in high dimensional space.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2006

On the Lower Bound of Local Optimums in K-Means Algorithm.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

On High Dimensional Skylines.
Proceedings of the Advances in Database Technology, 2006

2005
Discovering strong skyline points in high dimensional spaces.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005


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