Yuexiang Xie - RankMe

67 papers A* 14A 1B 3Misc 1Journal 40Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents. CoRR Yi Yu, Liuyi Yao, Yuexiang Xie, Qingquan Tan, Jiaqi Feng, Yaliang Li, Libing Wu
2026	J	`jnl`	Enhancing Multimodal Retrieval via Complementary Information Extraction and Alignment. CoRR Delong Zeng, Yuexiang Xie, Yaliang Li, Ying Shen
2026	J	`jnl`	IntentRL: Training Proactive User-intent Agents for Open-ended Deep Research via Reinforcement Learning. CoRR Haohao Luo, Zexi Li, Yuexiang Xie, Wenhao Zhang, Yaliang Li, Ying Shen
2026	J	`jnl`	On the Entropy Dynamics in Reinforcement Fine-Tuning of Large Language Models. CoRR Shumin Wang, Yuexiang Xie, Wenhao Zhang, Yuchang Sun, Yanxi Chen, Yaliang Li, Yanyong Zhang
2025	A*	`conf`	Agent-Oriented Planning in Multi-Agent Systems. ICLR Ao Li, Yuexiang Xie, Songze Li, Fugee Tsung, Bolin Ding, Yaliang Li
2025	J	`jnl`	AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications. CoRR Dawei Gao, Zitao Li, Yuexiang Xie, Weirui Kuang, Liuyi Yao, Bingchen Qian, Zhijian Ma, Yue Cui, Haohao Luo, Shen Li, Lu Yi, Yi Yu, Shiqi He, Zhiling Luo, Wenmeng Zhou, Zhicheng Zhang, Xuguang He, Ziqian Chen, Weikai Liao, Farruh Isakulovich Kushnazarov, Yaliang Li, Bolin Ding, Jingren Zhou
2025	J	`jnl`	Comprehensive Evaluation and Analysis for NSFW Concept Erasure in Text-to-Image Diffusion Models. CoRR Die Chen, Zhiwen Li, Cen Chen, Yuexiang Xie, Xiaodan Li, Jinyan Ye, Yingda Chen, Yaliang Li
2025	B	`conf`	Enhancing Factual Consistency in Text Summarization via Counterfactual Debiasing. COLING Zhenqing Ling, Yuexiang Xie, Chenhe Dong, Ying Shen
2025	—	`conf`	Enhancing Multimodal Retrieval via Complementary Information Extraction and Alignment. ACL (1) Delong Zeng, Yuexiang Xie, Yaliang Li, Ying Shen
2025	B	`conf`	Exploring Selective Layer Fine-Tuning in Federated Learning. ISIT Yuchang Sun, Yuexiang Xie, Bolin Ding, Yaliang Li, Jun Zhang
2025	J	`jnl`	KIMAs: A Configurable Knowledge Integrated Multi-Agent System. CoRR Zitao Li, Fei Wei, Yuexiang Xie, Dawei Gao, Weirui Kuang, Zhijian Ma, Bingchen Qian, Yaliang Li, Bolin Ding
2025	—	`conf`	Knowledge Graph-Guided Retrieval Augmented Generation. NAACL (Long Papers) Xiangrong Zhu, Yuexiang Xie, Yi Liu, Yaliang Li, Wei Hu
2025	J	`jnl`	Knowledge Graph-Guided Retrieval Augmented Generation. CoRR Xiangrong Zhu, Yuexiang Xie, Yi Liu, Yaliang Li, Wei Hu
2025	B	`conf`	Language Adaptation of Large Language Models: An Empirical Study on LLaMA2. COLING Shumin Wang, Yuexiang Xie, Bolin Ding, Jinyang Gao, Yanyong Zhang
2025	J	`jnl`	On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting. CoRR Wenhao Zhang, Yuexiang Xie, Yuchang Sun, Yanxi Chen, Guoyin Wang, Yaliang Li, Bolin Ding, Jingren Zhou
2025	—	`conf`	Parameter-Efficient Federated Knowledge Graph Embedding Learning and Unlearning. ISWC (1) Xiangrong Zhu, Yuexiang Xie, Yang Liu, Yaliang Li, Wei Hu
2025	A*	`conf`	Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. ICLR Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2025	J	`jnl`	Tree-based Models for Vertical Federated Learning: A Survey. CoRR Bingchen Qian, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou
2025	J	`jnl`	Tree-based Models for Vertical Federated Learning: A Survey. ACM Comput. Surv. Bingchen Qian, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou
2025	J	`jnl`	Trinity-RFT: A General-Purpose and Unified Framework for Reinforcement Fine-Tuning of Large Language Models. CoRR Xuchen Pan, Yanxi Chen, Yushuo Chen, Yuchang Sun, Daoyuan Chen, Wenhao Zhang, Yuexiang Xie, Yilun Huang, Yilei Zhang, Dawei Gao, Yaliang Li, Bolin Ding, Jingren Zhou
2024	J	`jnl`	Agent-Oriented Planning in Multi-Agent Systems. CoRR Ao Li, Yuexiang Xie, Songze Li, Fugee Tsung, Bolin Ding, Yaliang Li
2024	—	`conf`	Data-Juicer: A One-Stop Data Processing System for Large Language Models. SIGMOD Conference Companion 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
2024	J	`jnl`	Exploring Selective Layer Fine-Tuning in Federated Learning. CoRR Yuchang Sun, Yuexiang Xie, Bolin Ding, Yaliang Li, Jun Zhang
2024	A*	`conf`	FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. KDD Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou
2024	J	`jnl`	Is Sharing Neighbor Generator in Federated Graph Learning Safe? IEEE Trans. Knowl. Data Eng. Liuyi Yao, Zhen Wang, Yuexiang Xie, Yaliang Li, Weirui Kuang, Daoyuan Chen, Bolin Ding
2024	J	`jnl`	Privacy-preserving Cross-domain Recommendation with Federated Graph Learning. ACM Trans. Inf. Syst. Changxin Tian, Yuexiang Xie, Xu Chen, Yaliang Li, Xin Zhao
2024	J	`jnl`	Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. CoRR Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2024	J	`jnl`	Understanding Byzantine Robustness in Federated Learning with A Black-box Server. CoRR Fangyuan Zhao, Yuexiang Xie, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li
2024	J	`jnl`	Very Large-Scale Multi-Agent Simulation in AgentScope. CoRR Xuchen Pan, Dawei Gao, Yuexiang Xie, Zhewei Wei, Yaliang Li, Bolin Ding, Ji-Rong Wen, Jingren Zhou
2024	—	`conf`	When to Trust LLMs: Aligning Confidence with Response Quality. ACL (Findings) Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding
2024	J	`jnl`	When to Trust LLMs: Aligning Confidence with Response Quality. CoRR Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding
2024	A*	`conf`	β-DPO: Direct Preference Optimization with Dynamic β. NeurIPS Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2024	J	`jnl`	β-DPO: Direct Preference Optimization with Dynamic β. CoRR Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2023	J	`jnl`	Counterfactual Debiasing for Generating Factually Consistent Text Summaries. CoRR Chenhe Dong, Yuexiang Xie, Yaliang Li, Ying Shen
2023	J	`jnl`	Data-Juicer: A One-Stop Data Processing System for Large Language Models. CoRR 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	A*	`conf`	FS-REAL: Towards Real-World Cross-Device Federated Learning. KDD Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou
2023	J	`jnl`	FS-Real: A Real-World Cross-Device Federated Learning Platform. Proc. VLDB Endow. Dawei Gao, Daoyuan Chen, Zitao Li, Yuexiang Xie, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou
2023	J	`jnl`	FS-Real: Towards Real-World Cross-Device Federated Learning. CoRR Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou
2023	J	`jnl`	FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. CoRR Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou
2023	J	`jnl`	FederatedScope: A Flexible Federated Learning Platform for Heterogeneity. Proc. VLDB Endow. Yuexiang Xie, Zhen Wang, Dawei Gao, Daoyuan Chen, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou
2023	Misc	`conf`	Source-Free Unsupervised Domain Adaptation for Question Answering. ICASSP Zishuo Zhao, Yuexiang Xie, Jingyou Xie, Zhenzhou Lin, Yaliang Li, Ying Shen
2023	—	`conf`	Tunable Soft Prompts are Messengers in Federated Learning. EMNLP (Findings) Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li
2023	J	`jnl`	Tunable Soft Prompts are Messengers in Federated Learning. CoRR Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li
2022	J	`jnl`	A Benchmark for Federated Hetero-Task Learning. CoRR Liuyi Yao, Dawei Gao, Zhen Wang, Yuexiang Xie, Weirui Kuang, Daoyuan Chen, Haohui Wang, Chenhe Dong, Bolin Ding, Yaliang Li
2022	J	`jnl`	Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning. CoRR Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li
2022	J	`jnl`	Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge. ACM Trans. Inf. Syst. Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Wai Lam, Ying Shen
2022	A*	`conf`	Explainable Neural Rule Learning. WWW Shaoyun Shi, Yuexiang Xie, Zhen Wang, Bolin Ding, Yaliang Li, Min Zhang
2022	A*	`conf`	FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. KDD Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou
2022	J	`jnl`	FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. CoRR Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou
2022	J	`jnl`	FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing. CoRR Yuexiang Xie, Zhen Wang, Daoyuan Chen, Dawei Gao, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou
2022	A*	`conf`	Finding Meta Winning Ticket to Train Your MAML. KDD Dawei Gao, Yuexiang Xie, Zimu Zhou, Zhen Wang, Yaliang Li, Bolin Ding
2022	A*	`conf`	Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering. SIGIR Changxin Tian, Yuexiang Xie, Yaliang Li, Nan Yang, Wayne Xin Zhao
2022	A*	`conf`	iFlood: A Stable and Effective Regularizer. ICLR Yuexiang Xie, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding
2021	A	`conf`	AutoML: From Methodology to Application. CIKM Yaliang Li, Zhen Wang, Yuexiang Xie, Bolin Ding, Kai Zeng, Ce Zhang
2021	J	`jnl`	Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge. CoRR Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Wai Lam, Ying Shen
2021	A*	`conf`	FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. KDD Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou
2021	—	`conf`	Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation. EMNLP (Findings) Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding
2021	J	`jnl`	Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation. CoRR Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding
2020	A*	`conf`	Attentive User-Engaged Adversarial Neural Network for Community Question Answering. AAAI Yuexiang Xie, Ying Shen, Yaliang Li, Min Yang, Kai Lei
2020	J	`jnl`	Generative adversarial fusion network for class imbalance credit scoring. Neural Comput. Appl. Kai Lei, Yuexiang Xie, Shangru Zhong, Jingchao Dai, Min Yang, Ying Shen
2020	J	`jnl`	Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph. CoRR Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou
2020	A*	`conf`	Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. AAAI Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen
2020	J	`jnl`	Path-based reasoning with constrained type attention for knowledge graph completion. Neural Comput. Appl. Kai Lei, Jin Zhang, Yuexiang Xie, Desi Wen, Daoyuan Chen, Min Yang, Ying Shen
2019	—	`conf`	Feature-Aware Attentive Convolutional Neural Network for Sequence Processing. KSEM (2) Jingchao Dai, Kaiqi Yuan, Yuexiang Xie, Ying Shen
2019	J	`jnl`	Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. CoRR Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen
2019	A*	`conf`	Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering. AAAI Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen
2018	J	`jnl`	Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering. CoRR Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen