Semi-supervisedly Co-embedding Attributed Networks. - Zaiqiao Meng; Shangsong Liang; Jinyuan Fang; Teng Xiao (NeurIPS, 2019)

Gaussian Process with Graph Convolutional Kernel for Relational Learning. - Jinyuan Fang; Shangsong Liang; Zaiqiao Meng; Qiang Zhang 026 (KDD, 2021)

Structure-Aware Random Fourier Kernel for Graphs. - Jinyuan Fang; Qiang Zhang 026; Zaiqiao Meng; Shangsong Liang (NeurIPS, 2021)

Variational Continual Bayesian Meta-Learning. - Qiang Zhang 026; Jinyuan Fang; Zaiqiao Meng; Shangsong Liang; Emine Yilmaz (NeurIPS, 2021)

Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network. - Guanzheng Chen; Jinyuan Fang; Zaiqiao Meng; Qiang Zhang 026; Shangsong Liang (AAAI, 2022)

Hyperspherical Variational Co-embedding for Attributed Networks. - Jinyuan Fang; Shangsong Liang; Zaiqiao Meng; Maarten de Rijke (ACM Trans. Inf. Syst., 2022)

MANNER: A Variational Memory-Augmented Model for Cross Domain Few-Shot Named Entity Recognition. - Jinyuan Fang; Xiaobin Wang; Zaiqiao Meng; Pengjun Xie; Fei Huang 002; Yong Jiang 005 (ACL (1), 2023)

KGPR: Knowledge Graph Enhanced Passage Ranking. - Jinyuan Fang; Zaiqiao Meng; Craig Macdonald (CIKM, 2023)

Adaptive Compositional Continual Meta-Learning. - Bin Wu 025; Jinyuan Fang; Xiangxiang Zeng; Shangsong Liang; Qiang Zhang 026 (ICML, 2023)

Enhancing Conversational Recommendation Systems with Representation Fusion. - Yingxu Wang; Xiaoru Chen; Jinyuan Fang; Zaiqiao Meng; Shangsong Liang (ACM Trans. Web, 2023)

REANO: Optimising Retrieval-Augmented Reader Models through Knowledge Graph Generation. - Jinyuan Fang; Zaiqiao Meng; Craig MacDonald (ACL (1), 2024)

TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation. - Jinyuan Fang; Zaiqiao Meng; Craig MacDonald (EMNLP (Findings), 2024)

On the Structural Memory of LLM Agents. - Ruihong Zeng; Jinyuan Fang; Siwei Liu 001; Zaiqiao Meng (CoRR, 2024)

Heterogeneous Graph Contrastive Learning With Metapath-Based Augmentations. - Xiaoru Chen; Yingxu Wang; Jinyuan Fang; Zaiqiao Meng; Shangsong Liang (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces. - Jiahang Cao; Jinyuan Fang; Zaiqiao Meng; Shangsong Liang (ACM Comput. Surv., 2024)

Enhancing Graph Neural Networks via Memorized Global Information. - Ruihong Zeng; Jinyuan Fang; Siwei Liu 001; Zaiqiao Meng; Shangsong Liang (ACM Trans. Web, 2024)

KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation. - Jinyuan Fang; Zaiqiao Meng; Craig MacDonald (ACL (1), 2025)

KEIR @ ECIR 2025: The Second Workshop on Knowledge-Enhanced Information Retrieval. - Zihan Wang; Jinyuan Fang; Giacomo Frisoni; Zhuyun Dai; Zaiqiao Meng; Gianluca Moro; Emine Yilmaz (ECIR (5), 2025)

Constructing and Evaluating Declarative RAG Pipelines in PyTerrier. - Craig Macdonald; Jinyuan Fang; Andrew Parry; Zaiqiao Meng (SIGIR, 2025)

Enhancing mobile app recommendations through adaptive fusion of long-term stability and short-term interests. - Chen Yang 008; Jinyuan Fang; Chuang Wang 003; Zeyi Fan; Eric Wing Kuen See-To; Ben Niu 002 (Inf. Sci., 2025)

SEW: Self-Evolving Agentic Workflows for Automated Code Generation. - Siwei Liu 001; Jinyuan Fang; Han Zhou; Yingxu Wang; Zaiqiao Meng (CoRR, 2025)

EvoAgentX: An Automated Framework for Evolving Agentic Workflows. - Yingxu Wang; Siwei Liu 001; Jinyuan Fang; Zaiqiao Meng (CoRR, 2025)

Am I on the Right Track? What Can Predicted Query Performance Tell Us about the Search Behaviour of Agentic RAG. - Fangzheng Tian; Jinyuan Fang; Debasis Ganguly; Zaiqiao Meng; Craig Macdonald (CoRR, 2025)

A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems. - Jinyuan Fang; Yanwen Peng; Xi Zhang; Yingxu Wang; Xinhao Yi; Guibin Zhang; Yi Xu; Bin Wu; Siwei Liu; Zihao Li; Zhaochun Ren; Nikos Aletras; et al. (CoRR, 2025)