Yuexiang Xie

According to our database, Yuexiang Xie authored at least 36 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Is Sharing Neighbor Generator in Federated Graph Learning Safe?

Liuyi Yao, Zhen Wang, Yuexiang Xie, Yaliang Li, Weirui Kuang, Daoyuan Chen, Bolin Ding

IEEE Trans. Knowl. Data Eng., December, 2024

Privacy-preserving Cross-domain Recommendation with Federated Graph Learning.

Changxin Tian, Yuexiang Xie, Xu Chen, Yaliang Li, Xin Zhao

ACM Trans. Inf. Syst., September, 2024

Agent-Oriented Planning in Multi-Agent Systems.

Ao Li, Yuexiang Xie, Songze Li, Fugee Tsung, Bolin Ding, Yaliang Li

CoRR, 2024

Exploring Selective Layer Fine-Tuning in Federated Learning.

Yuchang Sun, Yuexiang Xie, Bolin Ding, Yaliang Li, Jun Zhang

CoRR, 2024

Understanding Byzantine Robustness in Federated Learning with A Black-box Server.

Fangyuan Zhao, Yuexiang Xie, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li

CoRR, 2024

Very Large-Scale Multi-Agent Simulation in AgentScope.

Xuchen Pan, Dawei Gao, Yuexiang Xie, Zhewei Wei, Yaliang Li, Bolin Ding, Ji-Rong Wen, Jingren Zhou

CoRR, 2024

β-DPO: Direct Preference Optimization with Dynamic β.

Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He

CoRR, 2024

Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization.

Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He

CoRR, 2024

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

Daoyuan Chen, Yilun Huang, Zhijian Ma, Hesen Chen, Xuchen Pan, Ce Ge, Dawei Gao, Yuexiang Xie, Zhaoyang Liu, Jinyang Gao, Yaliang Li, Bolin Ding, Jingren Zhou

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

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

Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

When to Trust LLMs: Aligning Confidence with Response Quality.

Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

FederatedScope: A Flexible Federated Learning Platform for Heterogeneity.

Yuexiang Xie, Zhen Wang, Dawei Gao, Daoyuan Chen, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou

Proc. VLDB Endow., 2023

FS-Real: A Real-World Cross-Device Federated Learning Platform.

Dawei Gao, Daoyuan Chen, Zitao Li, Yuexiang Xie, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou

Proc. VLDB Endow., 2023

Counterfactual Debiasing for Generating Factually Consistent Text Summaries.

Chenhe Dong, Yuexiang Xie, Yaliang Li, Ying Shen

CoRR, 2023

FS-REAL: Towards Real-World Cross-Device Federated Learning.

Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Source-Free Unsupervised Domain Adaptation for Question Answering.

Zishuo Zhao, Yuexiang Xie, Jingyou Xie, Zhenzhou Lin, Yaliang Li, Ying Shen

Proceedings of the IEEE International Conference on Acoustics, 2023

Tunable Soft Prompts are Messengers in Federated Learning.

Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li

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.

Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Wai Lam, Ying Shen

ACM Trans. Inf. Syst., 2022

Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning.

Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li

CoRR, 2022

A Benchmark for Federated Hetero-Task Learning.

Liuyi Yao, Dawei Gao, Zhen Wang, Yuexiang Xie, Weirui Kuang, Daoyuan Chen, Haohui Wang, Chenhe Dong, Bolin Ding, Yaliang Li

CoRR, 2022

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

Yuexiang Xie, Zhen Wang, Daoyuan Chen, Dawei Gao, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, 2022

Explainable Neural Rule Learning.

Shaoyun Shi, Yuexiang Xie, Zhen Wang, Bolin Ding, Yaliang Li, Min Zhang

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.

Changxin Tian, Yuexiang Xie, Yaliang Li, Nan Yang, Wayne Xin Zhao

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.

Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou

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.

Dawei Gao, Yuexiang Xie, Zimu Zhou, Zhen Wang, Yaliang Li, Bolin Ding

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.

Yuexiang Xie, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data.

Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou

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.

Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

AutoML: From Methodology to Application.

Yaliang Li, Zhen Wang, Yuexiang Xie, Bolin Ding, Kai Zeng, Ce Zhang

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.

Kai Lei, Jin Zhang, Yuexiang Xie, Desi Wen, Daoyuan Chen, Min Yang, Ying Shen

Neural Comput. Appl., 2020

Generative adversarial fusion network for class imbalance credit scoring.

Kai Lei, Yuexiang Xie, Shangru Zhong, Jingchao Dai, Min Yang, Ying Shen

Neural Comput. Appl., 2020

Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph.

Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou

CoRR, 2020

Attentive User-Engaged Adversarial Neural Network for Community Question Answering.

Yuexiang Xie, Ying Shen, Yaliang Li, Min Yang, Kai Lei

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering.

Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Feature-Aware Attentive Convolutional Neural Network for Sequence Processing.

Jingchao Dai, Kaiqi Yuan, Yuexiang Xie, Ying Shen

Proceedings of the Knowledge Science, Engineering and Management, 2019

Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering.

Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019