Yuexiang Xie

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 42

Top Topics

Learning Platform

Question Answering

Top Venues

Proc. VLDB Endow.

Publications

Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. CoRR (2024)
Xuchen Pan, Dawei Gao, Yuexiang Xie, Zhewei Wei, Yaliang Li, Bolin Ding, Ji-Rong Wen, Jingren Zhou
Very Large-Scale Multi-Agent Simulation in AgentScope. CoRR (2024)
Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding
When to Trust LLMs: Aligning Confidence with Response Quality. CoRR (2024)
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
Data-Juicer: A One-Stop Data Processing System for Large Language Models. SIGMOD Conference Companion (2024)
Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding
When to Trust LLMs: Aligning Confidence with Response Quality. ACL (Findings) (2024)
Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
β-DPO: Direct Preference Optimization with Dynamic β. CoRR (2024)
Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. KDD (2024)
Changxin Tian, Yuexiang Xie, Xu Chen, Yaliang Li, Xin Zhao
Privacy-preserving Cross-domain Recommendation with Federated Graph Learning. ACM Trans. Inf. Syst. 42 (5) (2024)
Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou
FS-REAL: Towards Real-World Cross-Device Federated Learning. KDD (2023)
Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li
Tunable Soft Prompts are Messengers in Federated Learning. CoRR (2023)
Dawei Gao, Daoyuan Chen, Zitao Li, Yuexiang Xie, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou
FS-Real: A Real-World Cross-Device Federated Learning Platform. Proc. VLDB Endow. 16 (12) (2023)
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
Data-Juicer: A One-Stop Data Processing System for Large Language Models. CoRR (2023)
Yuexiang Xie, Zhen Wang, Dawei Gao, Daoyuan Chen, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity. Proc. VLDB Endow. 16 (5) (2023)
Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. CoRR (2023)
Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li
Tunable Soft Prompts are Messengers in Federated Learning. EMNLP (Findings) (2023)
Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou
FS-Real: Towards Real-World Cross-Device Federated Learning. CoRR (2023)
Zishuo Zhao, Yuexiang Xie, Jingyou Xie, Zhenzhou Lin, Yaliang Li, Ying Shen
Source-Free Unsupervised Domain Adaptation for Question Answering. ICASSP (2023)
Chenhe Dong, Yuexiang Xie, Yaliang Li, Ying Shen
Counterfactual Debiasing for Generating Factually Consistent Text Summaries. CoRR (2023)
Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. KDD (2022)
Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. CoRR (2022)
Shaoyun Shi, Yuexiang Xie, Zhen Wang, Bolin Ding, Yaliang Li, Min Zhang
Explainable Neural Rule Learning. WWW (2022)
Changxin Tian, Yuexiang Xie, Yaliang Li, Nan Yang, Wayne Xin Zhao
Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering. SIGIR (2022)
Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Wai Lam, Ying Shen
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge. ACM Trans. Inf. Syst. 40 (1) (2022)
Yuexiang Xie, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding
iFlood: A Stable and Effective Regularizer. ICLR (2022)
Yuexiang Xie, Zhen Wang, Daoyuan Chen, Dawei Gao, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou
FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing. CoRR (2022)
Liuyi Yao, Dawei Gao, Zhen Wang, Yuexiang Xie, Weirui Kuang, Daoyuan Chen, Haohui Wang, Chenhe Dong, Bolin Ding, Yaliang Li
A Benchmark for Federated Hetero-Task Learning. CoRR (2022)
Dawei Gao, Yuexiang Xie, Zimu Zhou, Zhen Wang, Yaliang Li, Bolin Ding
Finding Meta Winning Ticket to Train Your MAML. KDD (2022)
Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li
Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning. CoRR (2022)
Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou
FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. KDD (2021)
Yaliang Li, Zhen Wang, Yuexiang Xie, Bolin Ding, Kai Zeng, Ce Zhang
AutoML: From Methodology to Application. CIKM (2021)
Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Wai Lam, Ying Shen
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge. CoRR (2021)
Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding
Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation. CoRR (2021)
Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding
Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation. EMNLP (Findings) (2021)
Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen
Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. AAAI (2020)
Yuexiang Xie, Ying Shen, Yaliang Li, Min Yang, Kai Lei
Attentive User-Engaged Adversarial Neural Network for Community Question Answering. AAAI (2020)
Kai Lei, Yuexiang Xie, Shangru Zhong, Jingchao Dai, Min Yang, Ying Shen
Generative adversarial fusion network for class imbalance credit scoring. Neural Comput. Appl. 32 (12) (2020)
Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou
Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph. CoRR (2020)
Kai Lei, Jin Zhang, Yuexiang Xie, Desi Wen, Daoyuan Chen, Min Yang, Ying Shen
Path-based reasoning with constrained type attention for knowledge graph completion. Neural Comput. Appl. 32 (11) (2020)
Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering. AAAI (2019)
Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen
Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. CoRR (2019)
Jingchao Dai, Kaiqi Yuan, Yuexiang Xie, Ying Shen
Feature-Aware Attentive Convolutional Neural Network for Sequence Processing. KSEM (2) (2019)
Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering. CoRR (2018)