Yuyi Wang

Orcid: 0000-0001-7273-9873

Affiliations:
  • CRRC Zhuzhou Institute, China
  • ETH Zurich, DISCO Group, Zurich, Switzerland (PhD 2022)
  • Sun Yat-Sen University, Guangzhou, China (former)
  • Katholieke Universiteit Leuven, Belgium (PhD 2015)


According to our database1, Yuyi Wang authored at least 81 papers between 2012 and 2024.

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Bibliography

2024
Delayed packing attack and countermeasure against transaction information based applications.
Inf. Sci., January, 2024

Toward Reliable High-Speed Railway Pantograph-Catenary System State Detection: Multitask Deep Neural Networks With Runtime Reliability Monitoring.
IEEE Trans. Instrum. Meas., 2024

Dumbo-MPC: Efficient Fully Asynchronous MPC with Optimal Resilience.
IACR Cryptol. ePrint Arch., 2024

A Simple Distributed Algorithm for Sparse Fractional Covering and Packing Problems.
CoRR, 2024

Bridging Weighted First Order Model Counting and Graph Polynomials.
CoRR, 2024

Music Style Transfer With Diffusion Model.
CoRR, 2024

A Unified Framework of Multi-Stage Multi-Winner Voting: An Axiomatic Exploration.
CoRR, 2024

Lifted algorithms for symmetric weighted first-order model sampling.
Artif. Intell., 2024

Grouped Logit Distillation Enhanced with Superclass Awareness for Efficient Knowledge Transfer.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

A More Practical Algorithm for Weighted First-Order Model Counting with Linear Order Axiom.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
Limits of multi-relational graphs.
Mach. Learn., January, 2023

GaSaver: A Static Analysis Tool for Saving Gas.
IEEE Trans. Sustain. Comput., 2023

Randomized Algorithm for MPMD on Two Sources.
Proceedings of the Web and Internet Economics - 19th International Conference, 2023

On Exact Sampling in the Two-Variable Fragment of First-Order Logic.
Proceedings of the 38th Annual ACM/IEEE Symposium on Logic in Computer Science, 2023

Graph Neural Network with Neighborhood Reconnection.
Proceedings of the Knowledge Science, Engineering and Management, 2023

On Discovering Interesting Combinatorial Integer Sequences.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Nash equilibria of two-round auctions.
Proceedings of the Fifth International Conference on Distributed Artificial Intelligence, 2023

2022
The power of patience: action delay in online algorithms.
PhD thesis, 2022

Quadratic Optimization based Clique Expansion for overlapping community detection.
Knowl. Based Syst., 2022

Continuous Temporal Graph Networks for Event-Based Graph Data.
CoRR, 2022

Online Matching with Convex Delay Costs.
CoRR, 2022

Efficient Submodular Optimization under Noise: Local Search is Robust.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AGTGAN: Unpaired Image Translation for Photographic Ancient Character Generation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Arbitrage Attack: Miners of the World, Unite!
Proceedings of the Financial Cryptography and Data Security, 2022

Complex Handwriting Trajectory Recovery: Evaluation Metrics and Algorithm.
Proceedings of the Computer Vision - ACCV 2022, 2022

Domain-Lifted Sampling for Universal Two-Variable Logic and Extensions.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Query complexity of generalized Simon's problem.
Inf. Comput., 2021

Online k-Way Matching with Delays and the H-Metric.
CoRR, 2021

Ultrarobust support vector registration.
Appl. Intell., 2021

Automatic Conjecturing of P-Recursions Using Lifted Inference.
Proceedings of the Inductive Logic Programming - 30th International Conference, 2021

Fast Algorithms for Relational Marginal Polytopes.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Quantum generative adversarial network for generating discrete distribution.
Inf. Sci., 2020

Target Location Problem for Multi-commodity Flow.
CoRR, 2020

Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs.
CoRR, 2020

Causal Inference under Networked Interference.
CoRR, 2020

Quantum Machine Learning Algorithm for Knowledge Graphs.
CoRR, 2020

Quantum speedup of twin support vector machines.
Sci. China Inf. Sci., 2020

Space Complexity of Streaming Algorithms on Universal Quantum Computers.
Proceedings of the Theory and Applications of Models of Computation, 2020

Lifted Weight Learning of Markov Logic Networks (Revisited One More Time).
Proceedings of the International Conference on Probabilistic Graphical Models, 2020

The k-Server Problem with Delays on the Uniform Metric Space.
Proceedings of the 31st International Symposium on Algorithms and Computation, 2020

Ride the Lightning: The Game Theory of Payment Channels.
Proceedings of the Financial Cryptography and Data Security, 2020

Controllable Multi-Character Psychology-Oriented Story Generation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Graph Hawkes Neural Network for Forecasting on Temporal Knowledge Graphs.
Proceedings of the Conference on Automated Knowledge Base Construction, 2020

Domain-Liftability of Relational Marginal Polytopes.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Improving Neural Relation Extraction with Positive and Unlabeled Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Minimum cost perfect matching with delays for two sources.
Theor. Comput. Sci., 2019

Almost tight bound on the query complexity of generalized Simon's problem.
CoRR, 2019

Variational Quantum Circuit Model for Knowledge Graphs Embedding.
CoRR, 2019

McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Bitcoin Security Under Temporary Dishonest Majority.
Proceedings of the Financial Cryptography and Data Security, 2019

Online Payment Network Design.
Proceedings of the Data Privacy Management, Cryptocurrencies and Blockchain Technology, 2019

High Dimensional Clustering with r-nets.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Towards Secure and Efficient Payment Channels.
CoRR, 2018

Algorithmic Blockchain Channel Design.
CoRR, 2018

Natural Language Multitasking: Analyzing and Improving Syntactic Saliency of Hidden Representations.
CoRR, 2018

Byzantine Preferential Voting.
Proceedings of the Web and Internet Economics - 14th International Conference, 2018

Disentangling the Latent Space of (Variational) Autoencoders for NLP.
Proceedings of the Advances in Computational Intelligence Systems, 2018

PAC-Reasoning in Relational Domains.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

VC-Dimension Based Generalization Bounds for Relational Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

MIDI-VAE: Modeling Dynamics and Instrumentation of Music with Applications to Style Transfer.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Impatient Online Matching.
Proceedings of the 29th International Symposium on Algorithms and Computation, 2018

Algorithmic Channel Design.
Proceedings of the 29th International Symposium on Algorithms and Computation, 2018

Symbolic Music Genre Transfer with CycleGAN.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Payment Network Design with Fees.
Proceedings of the Data Privacy Management, Cryptocurrencies and Blockchain Technology, 2018

On the ERM Principle With Networked Data.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Relational Marginal Problems: Theory and Estimation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Teaching a Machine to Read Maps With Deep Reinforcement Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
JamBot: Music Theory Aware Chord Based Generation of Polyphonic Music with LSTMs.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Variable-Version Lovász Local Lemma: Beyond Shearer's Bound.
Proceedings of the 58th IEEE Annual Symposium on Foundations of Computer Science, 2017

Min-Cost Bipartite Perfect Matching with Delays.
Proceedings of the Approximation, 2017

Learning from Networked Examples.
Proceedings of the International Conference on Algorithmic Learning Theory, 2017

2016
Community Detection: a Refined Axiomization and Beyond.
CoRR, 2016

Bounds for Learning from Evolutionary-Related Data in the Realizable Case.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Communities in Preference Networks: Refined Axioms and Beyond.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Shortest Paths on Evolving Graphs.
Proceedings of the Computational Social Networks - 5th International Conference, 2016

2015
From Graph Patterns to Networked Statistics ; Van patronen in grafen tot statistieken voor networken.
PhD thesis, 2015

2014
U-statistics on network-structured data with kernels of degree larger than one.
Proceedings of the 1st ECML/PKDD Workshop on Statistically Sound Data Mining, 2014

Graph and Network Pattern Mining.
Proceedings of the Mining User Generated Content., 2014

2013
An efficiently computable subgraph pattern support measure: counting independent observations.
Data Min. Knowl. Discov., 2013

Learning from networked examples in a k-partite graph.
CoRR, 2013

2012
An Efficiently Computable Support Measure for Frequent Subgraph Pattern Mining.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012


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