Siwei Liu

34 papers A* 4A 1Misc 1Journal 24Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
DuSEGO: Dual Second-Order Equivariant Graph Ordinary Differential Equation.
ACM Trans. Knowl. Discov. Data
Yingxu Wang, Nan Yin, Mingyan Xiao, Xinhao Yi, Siwei Liu, Shangsong Liang
2025 J jnl
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems.
CoRR
Jinyuan Fang, Yanwen Peng, Xi Zhang, Yingxu Wang, Xinhao Yi, Guibin Zhang, Yi Xu, Bin Wu, Siwei Liu, Zihao Li, Zhaochun Ren, Nikos Aletras, Xi Wang, Han Zhou, Zaiqiao Meng
2025 J jnl
Dynamically Adaptive Reasoning via LLM-Guided MCTS for Efficient and Context-Aware KGQA.
CoRR
Yingxu Wang, Shiqi Fan, Mengzhu Wang, Siyang Gao, Siwei Liu, Nan Yin
2025 — conf
EvoAgentX: An Automated Framework for Evolving Agentic Workflows.
EMNLP (System Demonstrations)
Yingxu Wang, Siwei Liu, Jinyuan Fang, Zaiqiao Meng
2025 J jnl
EvoAgentX: An Automated Framework for Evolving Agentic Workflows.
CoRR
Yingxu Wang, Siwei Liu, Jinyuan Fang, Zaiqiao Meng
2025 J jnl
REOBench: Benchmarking Robustness of Earth Observation Foundation Models.
CoRR
Xiang Li, Yong Tao, Siyuan Zhang, Siwei Liu, Zhitong Xiong, Chunbo Luo, Lu Liu, Mykola Pechenizkiy, Xiao Xiang Zhu, Tianjin Huang
2025 J jnl
RRGMambaFormer: A hybrid Transformer-Mamba architecture for radiology report generation.
Expert Syst. Appl.
Hongzhao Li, Siwei Liu, Hui Wang, Xiaoheng Jiang, Mingyuan Jiu, Li Chen, Yang Lu, Shupan Li, Mingliang Xu
2025 J jnl
SEW: Self-Evolving Agentic Workflows for Automated Code Generation.
CoRR
Siwei Liu, Jinyuan Fang, Han Zhou, Yingxu Wang, Zaiqiao Meng
2025 J jnl
Triplet-Structured Knowledge Integration for Multi-Turn Medical Reasoning.
CoRR
Zhaohan Meng, Zaiqiao Meng, Siwei Liu, Iadh Ounis
2024 J jnl
A Decade of Deep Learning: A Survey on The Magnificent Seven.
CoRR
Dilshod Azizov, Muhammad Arslan Manzoor, Velibor Bojkovic, Yingxu Wang, Zixiao Wang, Zangir Iklassov, Kailong Zhao, Liang Li, Siwei Liu, Yu Zhong, Wei Liu, Shangsong Liang
2024 J jnl
A Social-aware Gaussian Pre-trained model for effective cold-start recommendation.
Inf. Process. Manag.
Siwei Liu, Xi Wang, Craig Macdonald, Iadh Ounis
2024 — conf
Active Learning for Multi-Class Drug-Drug Interactions Prediction.
BIBM
Ang Liu, Yafang Huang, Yuehong Wu, Siwei Liu, Shangsong Liang
2024 J jnl
BPP: a platform for automatic biochemical pathway prediction.
Briefings Bioinform.
Xinhao Yi, Siwei Liu, Yu Wu, Douglas McCloskey, Zaiqiao Meng
2024 J jnl
Degree Distribution based Spiking Graph Networks for Domain Adaptation.
CoRR
Yingxu Wang, Siwei Liu, Mengzhu Wang, Shangsong Liang, Nan Yin
2024 J jnl
DuSEGO: Dual Second-order Equivariant Graph Ordinary Differential Equation.
CoRR
Yingxu Wang, Nan Yin, Mingyan Xiao, Xinhao Yi, Siwei Liu, Shangsong Liang
2024 J jnl
Enhancing Graph Neural Networks via Memorized Global Information.
ACM Trans. Web
Ruihong Zeng, Jinyuan Fang, Siwei Liu, Zaiqiao Meng, Shangsong Liang
2024 J jnl
Heterogeneous biomedical entity representation learning for gene-disease association prediction.
Briefings Bioinform.
Zhaohan Meng, Siwei Liu, Shangsong Liang, Bhautesh Jani, Zaiqiao Meng
2024 J jnl
Messages are Never Propagated Alone: Collaborative Hypergraph Neural Network for Time-Series Forecasting.
IEEE Trans. Pattern Anal. Mach. Intell.
Nan Yin, Li Shen, Huan Xiong, Bin Gu, Chong Chen, Xian-Sheng Hua, Siwei Liu, Xiao Luo
2024 J jnl
On the Structural Memory of LLM Agents.
CoRR
Ruihong Zeng, Jinyuan Fang, Siwei Liu, Zaiqiao Meng
2024 J jnl
PASCL: Supervised Contrastive Learning with Perturbative Augmentation for Particle Decay Reconstruction.
CoRR
Junjian Lu, Siwei Liu, Dmitrii Kobylianski, Etienne Dreyer, Eilam Gross, Shangsong Liang
2024 J jnl
PASCL: supervised contrastive learning with perturbative augmentation for particle decay reconstruction.
Mach. Learn. Sci. Technol.
Junjian Lu, Siwei Liu, Dmitrii Kobylianski, Etienne Dreyer, Eilam Gross, Shangsong Liang
2023 J jnl
A Social-aware Gaussian Pre-trained Model for Effective Cold-start Recommendation.
CoRR
Siwei Liu, Xi Wang, Craig Macdonald, Iadh Ounis
2023 — —
Effective graph representation learning for ranking-based recommendation.
Siwei Liu
2023 J jnl
Graph Neural Pre-training for Recommendation with Side Information.
ACM Trans. Inf. Syst.
Siwei Liu, Zaiqiao Meng, Craig Macdonald, Iadh Ounis
2023 J jnl
HMCDA: a novel method based on the heterogeneous graph neural network and metapath for circRNA-disease associations prediction.
BMC Bioinform.
Shiyang Liang, Siwei Liu, Junliang Song, Qiang Lin, Shihong Zhao, Shuaixin Li, Jiahui Li, Shangsong Liang, Jingjie Wang
2023 A* conf
Leveraging Relational Graph Neural Network for Transductive Model Ensemble.
KDD
Zhengyu Hu, Jieyu Zhang, Haonan Wang, Siwei Liu, Shangsong Liang
2023 J jnl
Sequence pre-training-based graph neural network for predicting lncRNA-miRNA associations.
Briefings Bioinform.
Zixiao Wang, Shiyang Liang, Siwei Liu, Zhaohan Meng, Jingjie Wang, Shangsong Liang
2022 A* conf
An MLP-based Algorithm for Efficient Contrastive Graph Recommendations.
SIGIR
Siwei Liu, Iadh Ounis, Craig Macdonald
2022 Misc conf
Parameter Tuning of Reranking-based Diversification Algorithms using Total Curvature Analysis.
ICTIR
Shameem Puthiya Parambath, Siwei Liu, Christos Anagnostopoulos, Roderick Murray-Smith, Iadh Ounis
2021 J jnl
Graph Neural Pre-training for Enhancing Recommendations using Side Information.
CoRR
Zaiqiao Meng, Siwei Liu, Craig Macdonald, Iadh Ounis
2020 A* conf
A Heterogeneous Graph Neural Model for Cold-start Recommendation.
SIGIR
Siwei Liu, Iadh Ounis, Craig Macdonald, Zaiqiao Meng
2020 A conf
BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems.
RecSys
Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis, Siwei Liu, Yaxiong Wu, Xi Wang, Shangsong Liang, Yucheng Liang, Guangtao Zeng, Junhua Liang, Qiang Zhang
2020 A* conf
Enhancing Graph Neural Networks for Recommender Systems.
SIGIR
Siwei Liu
2019 — conf
Social Regularisation in a BPR-based Venue Recommendation System.
FDIA@ESSIR
Siwei Liu, Iadh Ounis, Craig Macdonald