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# Yuexiang XIE
Alibaba DAMO Academy
Email: yuexiang.xyx@alibaba-inc.com
Email: yuexiang.xyx AT alibaba-inc.com


### Education
Expand All @@ -15,44 +15,85 @@ Email: [email protected]

+ July 2020 - Now, Alibaba DAMO Academy, Hang Zhou.


### Publications
|[google scholar](https://scholar.google.com.hk/citations?user=fhWk0gEAAAAJ&hl=zh-CN) | [dblp](https://dblp.org/pid/232/2045.html)|

#### 2023
+ **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](https://arxiv.org/abs/2204.05011). *In VLDB, 2023*. [[code](https://github.com/alibaba/FederatedScope)]
+ Chenhe Dong, **Yuexiang Xie**, Yaliang Li, Ying Shen. [Counterfactual Debiasing for Generating Factually Consistent Text Summaries](https://arxiv.org/pdf/2305.10736.pdf). *arXiv, 2023*.
+ Zishuo Zhao, **Yuexiang Xie**, Jingyou Xie, Zhenzhou Lin, Yaliang Li, Ying Shen. [Source-Free Unsupervised Domain Adaptation for Question Answering](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10095248). *In ICASSP, 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](https://arxiv.org/pdf/2303.13363.pdf). *In KDD, 2023*.

#### 2022
+ **Yuexiang Xie**, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding. [iFlood: A Stable and Effective Regularizer](https://openreview.net/forum?id=MsHnJPaBUZE). *In ICLR, 2022*.
+ Chenhe Dong\*, **Yuexiang Xie\***, Bolin Ding, Ying Shen, Yaliang Li. [Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning](https://arxiv.org/abs/2212.05789). *arXiv, 2022*.
+ Dawei Gao, **Yuexiang Xie**, Zimu Zhou, Zhen Wang, Yaliang Li, Bolin Ding. [Finding Meta Winning Ticket to Train Your MAML](https://dl.acm.org/doi/10.1145/3534678.3539467). *In KDD, 2022*.
+ Changxin Tian, **Yuexiang Xie**, Yaliang Li, Nan Yang, Wayne Xin Zhao. [Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering](https://dl.acm.org/doi/pdf/10.1145/3477495.3531889). *In SIGIR, 2022*.
+ Shaoyun Shi, **Yuexiang Xie**, Zhen Wang, Bolin Ding, Yaliang Li, Min Zhang. [Explainable Neural Rule Learning](https://dl.acm.org/doi/fullHtml/10.1145/3485447.3512023). *In WWW, 2022*. [[code](https://github.com/Shuriken13/ENRL)]
+ 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](https://arxiv.org/abs/2204.05562). *In KDD, 2022, **Best Paper Award at Applied Data Science Track***. [[code](https://github.com/alibaba/FederatedScope/tree/master/federatedscope/gfl)]
+ 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](https://joneswong.github.io/KDD22FLTutorial/)]
+ 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](https://arxiv.org/abs/2206.03436). *arXiv, 2022*. [[code](https://github.com/alibaba/FederatedScope/tree/master/benchmark/B-FHTL)]

#### 2021
+ **Yuexiang Xie**, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding. [Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation](https://aclanthology.org/2021.findings-emnlp.10/). *In EMNLP, 2021*. [[code](https://github.com/xieyxclack/factual_coco)]
+ **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](https://arxiv.org/abs/2007.14573). *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](https://arxiv.org/abs/2104.05216). *In TOIS, 2021*.
+ Yaliang Li, Zhen Wang, **Yuexiang Xie**, Bolin Ding, Kai Zeng, Ce Zhang. [AutoML: From Methodology to Application](https://dl.acm.org/doi/abs/10.1145/3459637.3483279). *In CIKM Tutorial, 2021*. [[website](https://www.cikm2021.org/programme/tutorials/automl-from-methodology-to-application)]

#### 2020
+ **Yuexiang Xie**, Ying Shen, Yaliang Li, Min Yang, Kai Lei. [Attentive User-Engaged Adversarial Neural Network for Community Question Answering](https://ojs.aaai.org/index.php/AAAI/article/view/6472). *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](https://arxiv.org/abs/1911.09801). *In AAAI, 2020*.

#### 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](https://arxiv.org/abs/1812.02354). *In AAAI, 2019*.
+ Kai Lei, **Yuexiang Xie**, Shangru Zhong, Jingchao Dai, Min Yang, Ying Shen. [Generative Adversarial Fusion Network for Class Imbalance Credit Scoring](https://link.springer.com/article/10.1007/s00521-019-04335-1). *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](https://link.springer.com/article/10.1007/s00521-019-04181-1). *In Neural Computing and Application, 2019*.
+ Jingchao Dai, Kaiqi Yuan, **Yuexiang Xie**, Ying Shen. [Feature-Aware Attentive Convolutional Neural Network for Sequence Processing](https://link.springer.com/chapter/10.1007/978-3-030-29563-9_28). *In KSEM, 2019*.


### Awards & Scholarships

+ Best Paper Award at Applied Data Science Track, KDD'22
+ KDD Cup, AutoML Track, 4/149, May 2020.
+ National Scholarship, Sep 2014.


### Publications ([google scholar](https://scholar.google.com.hk/citations?user=fhWk0gEAAAAJ&hl=zh-CN), [dblp](https://dblp.org/pid/232/2045.html))

+ [FederatedScope: A Flexible Federated Learning Platform for Heterogeneity](https://arxiv.org/abs/2204.05011)
+ **Yuexiang Xie\***, Zhen Wang\*, Daoyuan Chen, Dawei Gao, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou
+ *In VLDB, 2023* [[code](https://github.com/alibaba/FederatedScope)]
+ [Counterfactual Debiasing for Generating Factually Consistent Text Summaries](https://arxiv.org/pdf/2305.10736.pdf)
+ Chenhe Dong, **Yuexiang Xie**, Yaliang Li, Ying Shen
+ *arXiv, 2023*
+ [Source-Free Unsupervised Domain Adaptation for Question Answering](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10095248)
+ Zishuo Zhao, **Yuexiang Xie**, Jingyou Xie, Zhenzhou Lin, Yaliang Li, Ying Shen
+ *In ICASSP, 2023*
+ [FS-Real: Towards Real-World Cross-Device Federated Learning](https://arxiv.org/pdf/2303.13363.pdf)
+ Daoyuan Chen, Dawei Gao, **Yuexiang Xie**, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou
+ *In KDD, 2023*
+ [iFlood: A Stable and Effective Regularizer](https://openreview.net/forum?id=MsHnJPaBUZE)
+ **Yuexiang Xie**, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding
+ *In ICLR, 2022*
+ [Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning](https://arxiv.org/abs/2212.05789)
+ Chenhe Dong\*, **Yuexiang Xie\***, Bolin Ding, Ying Shen, Yaliang Li
+ *arXiv, 2022*
+ [Finding Meta Winning Ticket to Train Your MAML](https://dl.acm.org/doi/10.1145/3534678.3539467)
+ Dawei Gao, **Yuexiang Xie**, Zimu Zhou, Zhen Wang, Yaliang Li, Bolin Ding
+ *In KDD, 2022*
+ [Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering](https://dl.acm.org/doi/pdf/10.1145/3477495.3531889)
+ Changxin Tian, **Yuexiang Xie**, Yaliang Li, Nan Yang, Wayne Xin Zhao
+ *In SIGIR, 2022*
+ [Explainable Neural Rule Learning](https://dl.acm.org/doi/fullHtml/10.1145/3485447.3512023)
+ Shaoyun Shi, **Yuexiang Xie**, Zhen Wang, Bolin Ding, Yaliang Li, Min Zhang
+ *In WWW, 2022* [[code](https://github.com/Shuriken13/ENRL)]
+ [FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning](https://arxiv.org/abs/2204.05562)
+ Zhen Wang, Weirui Kuang, **Yuexiang Xie**, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou
+ *In KDD, 2022, **Best Paper Award at Applied Data Science Track***. [[code](https://github.com/alibaba/FederatedScope/tree/master/federatedscope/gfl)]
+ A Practical Introduction to Federated Learning
+ Yaliang Li, Bolin Ding, Zhen Wang, **Yuexiang Xie**, Dawei Gao, Liuyi Yao, Daoyuan Chen, Weirui Kuang, Hongzhu Shi, Jingren Zhou
+ *In KDD Tutorial, 2022* [[website](https://joneswong.github.io/KDD22FLTutorial/)]
+ [A Benchmark for Federated Hetero-Task Learning](https://arxiv.org/abs/2206.03436)
+ Liuyi Yao, Dawei Gao, Zhen Wang, **Yuexiang Xie**, Weirui Kuang, Daoyuan Chen, Haohui Wang, Chenhe Dong, Bolin Ding, Yaliang Li
+ *arXiv, 2022* [[code](https://github.com/alibaba/FederatedScope/tree/master/benchmark/B-FHTL)]
+ [Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation](https://aclanthology.org/2021.findings-emnlp.10/)
+ **Yuexiang Xie**, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding
+ *In EMNLP, 2021* [[code](https://github.com/xieyxclack/factual_coco)]
+ [FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data](https://arxiv.org/abs/2007.14573)
+ **Yuexiang Xie\***, Zhen Wang\*, Yaliang, Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou
+ *In KDD, 2021*
+ [Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge](https://arxiv.org/abs/2104.05216)
+ Yang Deng\*, **Yuexiang Xie\***, Yaliang Li, Min Yang, Wai Lam, Ying Shen
+ *In TOIS, 2021*
+ [AutoML: From Methodology to Application](https://dl.acm.org/doi/abs/10.1145/3459637.3483279)
+ Yaliang Li, Zhen Wang, **Yuexiang Xie**, Bolin Ding, Kai Zeng, Ce Zhang
+ *In CIKM Tutorial, 2021* [[website](https://www.cikm2021.org/programme/tutorials/automl-from-methodology-to-application)]
+ [Attentive User-Engaged Adversarial Neural Network for Community Question Answering](https://ojs.aaai.org/index.php/AAAI/article/view/6472)
+ **Yuexiang Xie**, Ying Shen, Yaliang Li, Min Yang, Kai Lei
+ *In AAAI, 2020*
+ [Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering](https://arxiv.org/abs/1911.09801)
+ Yang Deng, Wai Lam, **Yuexiang Xie**, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen
+ *In AAAI, 2020*
+ [Multi-task Learning with Multi-view Attention for Answer Selection and Knowledge Base Question Answering](https://arxiv.org/abs/1812.02354)
+ Yang Deng, **Yuexiang Xie**, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen
+ *In AAAI, 2019*
+ [Generative Adversarial Fusion Network for Class Imbalance Credit Scoring](https://link.springer.com/article/10.1007/s00521-019-04335-1)
+ Kai Lei, **Yuexiang Xie**, Shangru Zhong, Jingchao Dai, Min Yang, Ying Shen
+ *In Neural Computing and Application, 2019*
+ [Path-based Reasoning with Constrained Type Attention for Knowledge Graph Completion](https://link.springer.com/article/10.1007/s00521-019-04181-1)
+ Kai Lei, Jin Zhang, **Yuexiang Xie**, Desi Wen, Daoyuan Chen, Min Yang, Ying Shen
+ *In Neural Computing and Application, 2019*
+ [Feature-Aware Attentive Convolutional Neural Network for Sequence Processing](https://link.springer.com/chapter/10.1007/978-3-030-29563-9_28)
+ Jingchao Dai, Kaiqi Yuan, **Yuexiang Xie**, Ying Shen
+ *In KSEM, 2019*


### Program Committee Memberships
+ NeurIPS'23, ICML'23, KDD'23
+ NeurIPS'22, KDD'22
+ AAAI'21
+ TNNLS

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