Yuexiang Xie
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
14
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents. | Yi Yu, Liuyi Yao, Yuexiang Xie, Qingquan Tan, Jiaqi Feng, Yaliang Li, Libing Wu |
| 2025 | ACL | Enhancing Multimodal Retrieval via Complementary Information Extraction and Alignment. | Delong Zeng, Yuexiang Xie, Yaliang Li, Ying Shen |
| 2025 | COLING | Enhancing Factual Consistency in Text Summarization via Counterfactual Debiasing. | Zhenqing Ling, Yuexiang Xie, Chenhe Dong, Ying Shen |
| 2025 | COLING | Language Adaptation of Large Language Models: An Empirical Study on LLaMA2. | Shumin Wang, Yuexiang Xie, Bolin Ding, Jinyang Gao, Yanyong Zhang |
| 2025 | ICLR | Agent-Oriented Planning in Multi-Agent Systems. | Ao Li, Yuexiang Xie, Songze Li, Fugee Tsung, Bolin Ding, Yaliang Li |
| 2025 | ICLR | 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 |
| 2025 | ISIT | Exploring Selective Layer Fine-Tuning in Federated Learning. | Yuchang Sun, Yuexiang Xie, Bolin Ding, Yaliang Li, Jun Zhang |
| 2025 | NAACL | Knowledge Graph-Guided Retrieval Augmented Generation. | Xiangrong Zhu, Yuexiang Xie, Yi Liu, Yaliang Li, Wei Hu |
| 2024 | ACL | 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 |
| 2024 | KDD | 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 |
| 2024 | SIGMOD | 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 |
| 2023 | EMNLP | Tunable Soft Prompts are Messengers in Federated Learning. | Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li |
| 2023 | ICASSP | Source-Free Unsupervised Domain Adaptation for Question Answering. | Zishuo Zhao, Yuexiang Xie, Jingyou Xie, Zhenzhou Lin, Yaliang Li, Ying Shen |
| 2023 | KDD | 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 |
| 2022 | ICLR | iFlood: A Stable and Effective Regularizer. | Yuexiang Xie, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding |
| 2022 | KDD | Finding Meta Winning Ticket to Train Your MAML. | Dawei Gao, Yuexiang Xie, Zimu Zhou, Zhen Wang, Yaliang Li, Bolin Ding |
| 2022 | KDD | 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 |
| 2022 | WWW | Explainable Neural Rule Learning. | Shaoyun Shi, Yuexiang Xie, Zhen Wang, Bolin Ding, Yaliang Li, Min Zhang |
| 2022 | SIGIR | Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering. | Changxin Tian, Yuexiang Xie, Yaliang Li, Nan Yang, Wayne Xin Zhao |
| 2021 | CIKM | AutoML: From Methodology to Application. | Yaliang Li, Zhen Wang, Yuexiang Xie, Bolin Ding, Kai Zeng, Ce Zhang |
| 2021 | EMNLP | Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation. | Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding |
| 2021 | KDD | FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. | Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Grel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou |
| 2020 | AAAI | 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 |
| 2020 | AAAI | Attentive User-Engaged Adversarial Neural Network for Community Question Answering. | Yuexiang Xie, Ying Shen, Yaliang Li, Min Yang, Kai Lei |
| 2019 | AAAI | 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 |
| 2019 | KSEM | Feature-Aware Attentive Convolutional Neural Network for Sequence Processing. | Jingchao Dai, Kaiqi Yuan, Yuexiang Xie, Ying Shen |