Yuexiang XIE

Alibaba DAMO Academy
Email: yuexiang.xyx@alibaba-inc.com

Yuexiang Xie*, Zhen Wang*, Daoyuan Chen, Dawei Gao, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou. FederatedScope: A Flexible Federated Learning Platform for Heterogeneity. VLDB, 2023. [code]

Yuexiang Xie, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding. iFlood: A Stable and Effective Regularizer. In ICLR, 2022.
Chenhe Dong*, Yuexiang Xie*, Bolin Ding, Ying Shen, Yaliang Li. Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning. arXiv, 2022.
Dawei Gao, Yuexiang Xie, Zimu Zhou, Zhen Wang, Yaliang Li, Bolin Ding. Finding Meta Winning Ticket to Train Your MAML. In KDD, 2022.
Changxin Tian, Yuexiang Xie, Yaliang Li, Nan Yang, Wayne Xin Zhao. Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering. In SIGIR, 2022.
Shaoyun Shi, Yuexiang Xie, Zhen Wang, Bolin Ding, Yaliang Li, Min Zhang. Explainable Neural Rule Learning. In WWW, 2022. [code]
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. In KDD, 2022, Best Paper Award at Applied Data Science Track. [code]
Yaliang Li, Bolin Ding, Zhen Wang, Yuexiang Xie, Dawei Gao, Liuyi Yao, Daoyuan Chen, Weirui Kuang, Hongzhu Shi, Jingren Zhou. A Practical Introduction to Federated Learning. In KDD 2022 Tutorial. [website]
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. arXiv, 2022. [code]

Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding. Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation. In EMNLP, 2021. [code]
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. In KDD, 2021.
Yang Deng*, Yuexiang Xie*, Yaliang Li, Min Yang, Wai Lam, Ying Shen. Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge. In TOIS, 2021.
Yaliang Li, Zhen Wang, Yuexiang Xie, Bolin Ding, Kai Zeng, Ce Zhang. AutoML: From Methodology to Application. In CIKM Tutorial, 2021. [website]

Yuexiang Xie, Ying Shen, Yaliang Li, Min Yang, Kai Lei. Attentive User-Engaged Adversarial Neural Network for Community Question Answering. In AAAI, 2020.
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. In AAAI, 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. In AAAI, 2019.
Kai Lei, Yuexiang Xie, Shangru Zhong, Jingchao Dai, Min Yang, Ying Shen. Generative Adversarial Fusion Network for Class Imbalance Credit Scoring. In Neural Computing and Application, 2019.
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. In Neural Computing and Application, 2019.
Jingchao Dai, Kaiqi Yuan, Yuexiang Xie, Ying Shen. Feature-Aware Attentive Convolutional Neural Network for Sequence Processing. In KSEM, 2019.