Ruiyi Zhang

According to our database1, Ruiyi Zhang authored at least 56 papers between 2006 and 2022.

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Bibliography

2022
Performance measurement of decision making units through interval efficiency with slacks-based measure: an application to tourist hotels in Taipei.
J. Intell. Fuzzy Syst., 2022

Wasserstein Uncertainty Estimation for Adversarial Domain Matching.
Frontiers Big Data, 2022

Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information.
CoRR, 2022

scPretrain: multi-task self-supervised learning for cell-type classification.
Bioinform., 2022

Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Few-Shot Class-Incremental Learning for Named Entity Recognition.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Towards Uncertainty and Efficiency in Reinforcement Learning.
PhD thesis, 2021

Elastic Shape Analysis of Planar Objects Using Tensor Field Representations.
J. Math. Imaging Vis., 2021

LAFITE: Towards Language-Free Training for Text-to-Image Generation.
CoRR, 2021

SDA: Improving Text Generation with Self Data Augmentation.
CoRR, 2021

Reinforcement Learning for Flexibility Design Problems.
CoRR, 2021

EOSAFE: Security Analysis of EOSIO Smart Contracts.
Proceedings of the 30th USENIX Security Symposium, 2021

Improving Zero-Shot Voice Style Transfer via Disentangled Representation Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

Graphine: A Dataset for Graph-aware Terminology Definition Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems.
CoRR, 2020

When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications.
CoRR, 2020

Reward Constrained Interactive Recommendation with Natural Language Feedback.
CoRR, 2020

Security Analysis of EOSIO Smart Contracts.
CoRR, 2020

Figure Captioning with Relation Maps for Reasoning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Graphical Models Meet Bandits: A Variational Thompson Sampling Approach.
Proceedings of the 37th International Conference on Machine Learning, 2020

GenDICE: Generalized Offline Estimation of Stationary Values.
Proceedings of the 8th International Conference on Learning Representations, 2020

Bayesian Meta Sampling for Fast Uncertainty Adaptation.
Proceedings of the 8th International Conference on Learning Representations, 2020

Semantic Matching via Optimal Partial Transport.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Improving Text Generation with Student-Forcing Optimal Transport.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Nested-Wasserstein Self-Imitation Learning for Sequence Generation.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Improving Adversarial Text Generation by Modeling the Distant Future.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Collaborative Filtering with A Synthetic Feedback Loop.
CoRR, 2019

Figure Captioning with Reasoning and Sequence-Level Training.
CoRR, 2019

Topic-Guided Variational Autoencoders for Text Generation.
CoRR, 2019

Scalable Thompson Sampling via Optimal Transport.
CoRR, 2019

Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Improving Textual Network Learning with Variational Homophilic Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Topic-Guided Variational Auto-Encoder for Text Generation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Vision-Language Recommendation via Attribute Augmented Multimodal Reinforcement Learning.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Neural Network Based Successive Cancellation Decoding Algorithm for Polar Codes in URLLC.
Proceedings of the 16th International Symposium on Wireless Communication Systems, 2019

Variational Annealing of GANs: A Langevin Perspective.
Proceedings of the 36th International Conference on Machine Learning, 2019

Understanding and Accelerating Particle-Based Variational Inference.
Proceedings of the 36th International Conference on Machine Learning, 2019

Improving Sequence-to-Sequence Learning via Optimal Transport.
Proceedings of the 7th International Conference on Learning Representations, 2019

Neural caption generation over figures.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

A BP Neural Network Based Punctured Scheduling Scheme Within Mini-slots for Joint URLLC and eMBB Traffic.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Scalable Thompson Sampling via Optimal Transport.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Sequence Generation with Guider Network.
CoRR, 2018

Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory.
CoRR, 2018

Accelerated First-order Methods on the Wasserstein Space for Bayesian Inference.
CoRR, 2018

A Unified Particle-Optimization Framework for Scalable Bayesian Sampling.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Adversarial Text Generation via Feature-Mover's Distance.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Policy Optimization as Wasserstein Gradient Flows.
Proceedings of the 35th International Conference on Machine Learning, 2018

Variational Inference and Model Selection with Generalized Evidence Bounds.
Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Structural Weight Uncertainty for Sequential Decision-Making.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2010
Manipulation as a Security Mechanism in Sensor Networks.
Proceedings of the Advances in Social Computing, 2010

2007
Deception framework for sensor networks.
Proceedings of the Third International Conference on Security and Privacy in Communication Networks and the Workshops, 2007

2006
Sector-based routing for secure energy efficient communications.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2006


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