Fanghua Ye

Orcid: 0000-0002-1063-6534

Affiliations:
  • University College London, Department of Computer Science, UK
  • Sun Yat-sen University, School of Data and Computer Science, Guangzhou, China (former)


According to our database1, Fanghua Ye authored at least 43 papers between 2017 and 2024.

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Bibliography

2024
Anchor-based Large Language Models.
CoRR, 2024

Benchmarking LLMs via Uncertainty Quantification.
CoRR, 2024

Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models.
CoRR, 2024

2023
Training-free Zero-shot Composed Image Retrieval with Local Concept Reranking.
CoRR, 2023

Lending Interaction Wings to Recommender Systems with Conversational Agents.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Turn-Level Active Learning for Dialogue State Tracking.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Auto-weighted Robust Federated Learning with Corrupted Data Sources.
ACM Trans. Intell. Syst. Technol., 2022

MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluation.
Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022

MetaASSIST: Robust Dialogue State Tracking with Meta Learning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

ASSIST: Towards Label Noise-Robust Dialogue State Tracking.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Multi-Stage Network Embedding for Exploring Heterogeneous Edges.
ACM Trans. Knowl. Discov. Data, 2021

Enhancing Graph Neural Networks via auxiliary training for semi-supervised node classification.
Knowl. Based Syst., 2021

Learning deep discriminative representations with pseudo supervision for image clustering.
Inf. Sci., 2021

Slot Self-Attentive Dialogue State Tracking.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Outlier-Resilient Web Service QoS Prediction.
Proceedings of the WWW '21: The Web Conference 2021, 2021

2020
Finding skyline communities in multi-valued networks.
VLDB J., 2020

Nonuniform Hyper-Network Embedding with Dual Mechanism.
ACM Trans. Inf. Syst., 2020

Homophily Preserving Community Detection.
IEEE Trans. Neural Networks Learn. Syst., 2020

Outlier Resilient Collaborative Web Service QoS Prediction.
CoRR, 2020

A Game Generative Network Framework with its Application to Relationship Inference.
CoRR, 2020

Unsupervised Few-Bits Semantic Hashing with Implicit Topics Modeling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Modeling Heterogeneous Edges to Represent Networks with Graph Auto-Encoder.
Proceedings of the Database Systems for Advanced Applications, 2020

2019
STD: An Automatic Evaluation Metric for Machine Translation Based on Word Embeddings.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

Digging into it: Community detection via hidden attributes analysis.
Neurocomputing, 2019

Discrete Overlapping Community Detection with Pseudo Supervision.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

A Semi-supervised Classification Approach for Multiple Time-Varying Networks with Total Variation.
Proceedings of the Database Systems for Advanced Applications, 2019

Hyper2vec: Biased Random Walk for Hyper-network Embedding.
Proceedings of the Database Systems for Advanced Applications, 2019

Nonnegative Spectral Clustering for Large-Scale Semi-supervised Learning.
Proceedings of the Database Systems for Advanced Applications, 2019

Deep Heterogeneous Social Network Alignment.
Proceedings of the 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 2019

2018
Identifying Influential Individuals on Large-Scale Social Networks: A Community Based Approach.
IEEE Access, 2018

BGN: Identifying Influential Nodes in Complex Networks via Backward Generating Networks.
IEEE Access, 2018

Skyline Community Search in Multi-valued Networks.
Proceedings of the 2018 International Conference on Management of Data, 2018

Measuring Cohesion of Software Systems Using Weighted Directed Complex Networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Identifying Influential Nodes in Complex Networks via Semi-Local Centrality.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

An Adaptive Semi-local Algorithm for Node Ranking in Large Complex Networks.
Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

Adaptive Affinity Learning for Accurate Community Detection.
Proceedings of the IEEE International Conference on Data Mining, 2018

Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Finding weighted k-truss communities in large networks.
Inf. Sci., 2017

Efficient Influential Individuals Discovery on Service-Oriented Social Networks: A Community-Based Approach.
Proceedings of the Service-Oriented Computing - 15th International Conference, 2017

DC-RSF: A Dynamic and Customized Reputation System Framework for Joint Cloud Computing.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems Workshops, 2017


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