Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering. - Yang Deng 002; Yuexiang Xie; Yaliang Li; Min Yang 007; Nan Du 001; Wei Fan 001; Kai Lei; Ying Shen 001 (AAAI, 2019)

Feature-Aware Attentive Convolutional Neural Network for Sequence Processing. - Jingchao Dai; Kaiqi Yuan; Yuexiang Xie; Ying Shen 001 (KSEM (2), 2019)

Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. - Yang Deng 002; Wai Lam; Yuexiang Xie; Daoyuan Chen; Yaliang Li; Min Yang 007; Ying Shen 001 (AAAI, 2020)

Attentive User-Engaged Adversarial Neural Network for Community Question Answering. - Yuexiang Xie; Ying Shen 001; Yaliang Li; Min Yang 007; Kai Lei (AAAI, 2020)

Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph. - Yuexiang Xie; Zhen Wang 036; Yaliang Li; Bolin Ding; Nezihe Merve Gürel; Ce Zhang 001; Minlie Huang; Wei Lin 016; Jingren Zhou 001 (CoRR, 2020)

Generative adversarial fusion network for class imbalance credit scoring. - Kai Lei; Yuexiang Xie; Shangru Zhong; Jingchao Dai; Min Yang 007; Ying Shen 001 (Neural Comput. Appl., 2020)

Path-based reasoning with constrained type attention for knowledge graph completion. - Kai Lei; Jin Zhang; Yuexiang Xie; Desi Wen; Daoyuan Chen; Min Yang 007; Ying Shen 001 (Neural Comput. Appl., 2020)

AutoML: From Methodology to Application. - Yaliang Li; Zhen Wang 036; Yuexiang Xie; Bolin Ding; Kai Zeng 002; Ce Zhang 001 (CIKM, 2021)

Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation. - Yuexiang Xie; Fei Sun 001; Yang Deng 002; Yaliang Li; Bolin Ding (EMNLP (Findings), 2021)

FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. - Yuexiang Xie; Zhen Wang 036; Yaliang Li; Bolin Ding; Nezihe Merve Gürel; Ce Zhang 001; Minlie Huang; Wei Lin 016; Jingren Zhou 001 (KDD, 2021)

iFlood: A Stable and Effective Regularizer. - Yuexiang Xie; Zhen Wang 036; Yaliang Li; Ce Zhang 001; Jingren Zhou 001; Bolin Ding (ICLR, 2022)

Finding Meta Winning Ticket to Train Your MAML. - Dawei Gao; Yuexiang Xie; Zimu Zhou; Zhen Wang 036; Yaliang Li; Bolin Ding (KDD, 2022)

FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. - Zhen Wang 036; Weirui Kuang; Yuexiang Xie; Liuyi Yao; Yaliang Li; Bolin Ding; Jingren Zhou 001 (KDD, 2022)

Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering. - Changxin Tian; Yuexiang Xie; Yaliang Li; Nan Yang; Wayne Xin Zhao (SIGIR, 2022)

Explainable Neural Rule Learning. - Shaoyun Shi; Yuexiang Xie; Zhen Wang 036; Bolin Ding; Yaliang Li; Min Zhang 006 (WWW, 2022)

FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing. - Yuexiang Xie; Zhen Wang 036; Daoyuan Chen; Dawei Gao; Liuyi Yao; Weirui Kuang; Yaliang Li; Bolin Ding; Jingren Zhou 001 (CoRR, 2022)

A Benchmark for Federated Hetero-Task Learning. - Liuyi Yao; Dawei Gao; Zhen Wang 036; Yuexiang Xie; Weirui Kuang; Daoyuan Chen; Haohui Wang; Chenhe Dong; Bolin Ding; Yaliang Li (CoRR, 2022)

Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning. - Chenhe Dong; Yuexiang Xie; Bolin Ding; Ying Shen 001; Yaliang Li (CoRR, 2022)

Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge. - Yang Deng 002; Yuexiang Xie; Yaliang Li; Min Yang 007; Wai Lam; Ying Shen 001 (ACM Trans. Inf. Syst., 2022)

Tunable Soft Prompts are Messengers in Federated Learning. - Chenhe Dong; Yuexiang Xie; Bolin Ding; Ying Shen 001; Yaliang Li (EMNLP (Findings), 2023)

Source-Free Unsupervised Domain Adaptation for Question Answering. - Zishuo Zhao; Yuexiang Xie; Jingyou Xie; Zhenzhou Lin; Yaliang Li; Ying Shen 001 (ICASSP, 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 001 (KDD, 2023)

Counterfactual Debiasing for Generating Factually Consistent Text Summaries. - Chenhe Dong; Yuexiang Xie; Yaliang Li; Ying Shen 001 (CoRR, 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 001 (Proc. VLDB Endow., 2023)

FederatedScope: A Flexible Federated Learning Platform for Heterogeneity. - Yuexiang Xie; Zhen Wang 036; Dawei Gao; Daoyuan Chen; Liuyi Yao; Weirui Kuang; Yaliang Li; Bolin Ding; Jingren Zhou 001 (Proc. VLDB Endow., 2023)

When to Trust LLMs: Aligning Confidence with Response Quality. - Shuchang Tao; Liuyi Yao; Hanxing Ding; Yuexiang Xie; Qi Cao; Fei Sun 001; Jinyang Gao; Huawei Shen; Bolin Ding (ACL (Findings), 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 001 (KDD, 2024)

β-DPO: Direct Preference Optimization with Dynamic β. - Junkang Wu; Yuexiang Xie; Zhengyi Yang 007; Jiancan Wu; Jinyang Gao; Bolin Ding; Xiang Wang 010; Xiangnan He 001 (NeurIPS, 2024)

Data-Juicer: A One-Stop Data Processing System for Large Language Models. - Daoyuan Chen; Yilun Huang 004; Zhijian Ma; Hesen Chen; Xuchen Pan; Ce Ge; Dawei Gao; Yuexiang Xie; Zhaoyang Liu 003; Jinyang Gao; Yaliang Li; Bolin Ding; et al. (SIGMOD Conference Companion, 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 001 (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)

Exploring Selective Layer Fine-Tuning in Federated Learning. - Yuchang Sun 001; Yuexiang Xie; Bolin Ding; Yaliang Li; Jun Zhang 004 (CoRR, 2024)

Privacy-preserving Cross-domain Recommendation with Federated Graph Learning. - Changxin Tian; Yuexiang Xie; Xu Chen 017; Yaliang Li; Xin Zhao 018 (ACM Trans. Inf. Syst., 2024)

Is Sharing Neighbor Generator in Federated Graph Learning Safe? - Liuyi Yao; Zhen Wang 036; Yuexiang Xie; Yaliang Li; Weirui Kuang; Daoyuan Chen; Bolin Ding (IEEE Trans. Knowl. Data Eng., 2024)

Enhancing Multimodal Retrieval via Complementary Information Extraction and Alignment. - Delong Zeng; Yuexiang Xie; Yaliang Li; Ying Shen 001 (ACL (1), 2025)

Enhancing Factual Consistency in Text Summarization via Counterfactual Debiasing. - Zhenqing Ling; Yuexiang Xie; Chenhe Dong; Ying Shen 001 (COLING, 2025)

Language Adaptation of Large Language Models: An Empirical Study on LLaMA2. - Shumin Wang; Yuexiang Xie; Bolin Ding; Jinyang Gao; Yanyong Zhang (COLING, 2025)

Agent-Oriented Planning in Multi-Agent Systems. - Ao Li; Yuexiang Xie; Songze Li; Fugee Tsung; Bolin Ding; Yaliang Li (ICLR, 2025)

Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. - Junkang Wu; Yuexiang Xie; Zhengyi Yang 007; Jiancan Wu; Jiawei Chen 007; Jinyang Gao; Bolin Ding; Xiang Wang 010; Xiangnan He 001 (ICLR, 2025)

Knowledge Graph-Guided Retrieval Augmented Generation. - Xiangrong Zhu; Yuexiang Xie; Yi Liu; Yaliang Li; Wei Hu (NAACL (Long Papers), 2025)

KIMAs: A Configurable Knowledge Integrated Multi-Agent System. - Zitao Li; Fei Wei; Yuexiang Xie; Dawei Gao; Weirui Kuang; Zhijian Ma; Bingchen Qian; Yaliang Li; Bolin Ding (CoRR, 2025)

Comprehensive Evaluation and Analysis for NSFW Concept Erasure in Text-to-Image Diffusion Models. - Die Chen; Zhiwen Li; Cen Chen 001; Yuexiang Xie; Xiaodan Li; Jinyan Ye; Yingda Chen; Yaliang Li (CoRR, 2025)

Trinity-RFT: A General-Purpose and Unified Framework for Reinforcement Fine-Tuning of Large Language Models. - Xuchen Pan; Yanxi Chen 001; Yushuo Chen; Yuchang Sun 001; Daoyuan Chen; Wenhao Zhang; Yuexiang Xie; Yilun Huang 004; Yilei Zhang; Dawei Gao; Yaliang Li; Bolin Ding; et al. (CoRR, 2025)

On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting. - Wenhao Zhang; Yuexiang Xie; Yuchang Sun 001; Yanxi Chen 001; Guoyin Wang; Yaliang Li; Bolin Ding; Jingren Zhou 001 (CoRR, 2025)

Tree-based Models for Vertical Federated Learning: A Survey. - Bingchen Qian; Yuexiang Xie; Yaliang Li; Bolin Ding; Jingren Zhou 001 (ACM Comput. Surv., 2025)