Yuexiang Xie

Orcid: 0009-0005-6545-7882

According to our database1, Yuexiang Xie authored at least 27 papers between 2019 and 2023.

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

Timeline

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Bibliography

2023
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity.
Proc. VLDB Endow., 2023

FS-Real: A Real-World Cross-Device Federated Learning Platform.
Proc. VLDB Endow., 2023

Data-Juicer: A One-Stop Data Processing System for Large Language Models.
CoRR, 2023

FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning.
CoRR, 2023

Counterfactual Debiasing for Generating Factually Consistent Text Summaries.
CoRR, 2023

FS-REAL: Towards Real-World Cross-Device Federated Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Source-Free Unsupervised Domain Adaptation for Question Answering.
Proceedings of the IEEE International Conference on Acoustics, 2023

Tunable Soft Prompts are Messengers in Federated Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge.
ACM Trans. Inf. Syst., 2022

Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning.
CoRR, 2022

A Benchmark for Federated Hetero-Task Learning.
CoRR, 2022

FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing.
CoRR, 2022

Explainable Neural Rule Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Finding Meta Winning Ticket to Train Your MAML.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

iFlood: A Stable and Effective Regularizer.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

AutoML: From Methodology to Application.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Path-based reasoning with constrained type attention for knowledge graph completion.
Neural Comput. Appl., 2020

Generative adversarial fusion network for class imbalance credit scoring.
Neural Comput. Appl., 2020

Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph.
CoRR, 2020

Attentive User-Engaged Adversarial Neural Network for Community Question Answering.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Feature-Aware Attentive Convolutional Neural Network for Sequence Processing.
Proceedings of the Knowledge Science, Engineering and Management, 2019

Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019


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