ProitMTA: A Multi-Target Model Poisoning Attack Framework for Federated Recommendation Systems with Proxy Items (Comming Soon)
[CCF A]TKDE, 2026
Dongyi Zheng(PhD)&Qing Liao*, etc.
Improving Heterogeneous Graph Contrastive Learning Robustness via Hierarchical Vulnerability Protection (Code)
[CCF A]KDD, 2026
Jinhao Cui(PhD)&Qing Liao*, etc.
Cognitive Policy-Driven LLM for Diagnosis and Intervention of Cognitive Distortions in Emotional Support Conversation (Comming Soon)
[CCF A]ACL, 2026
Lin Zhong(PhD)&Qing Liao*, etc.
Modeling Multi-Dimensional Cognitive States in Large Language Models under Cognitive Crowding (Comming Soon)
[CCF A]ACL, 2026
Lin Zhong(PhD)&Qing Liao*, etc.
Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRA in Continual Learning (Code)
[CCF A]NeurIPS, 2025
Chaoyang Li(PhD)&Qing Liao*, etc.
Bridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and Segmentation (Code)
[CCF A]NeurIPS, 2025
Jianyang Qin(PhD)&Qing Liao*, etc.
IntelliTopo: An IaC Generation Service for Industrial Network Topology Construction (欢迎公司交流)
[CCF A]ASE, 2025
Mingyu Shao(PhD)&Qing Liao*, etc.
CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and Language (Code)
[CCF A]SIGIR, 2025
Lin Zhong(PhD)&Qing Liao*, etc.
Overcoming Catastrophic Forgetting in Federated Continual Graph Learning for Resource-Limited Mobile Devices (Code)
[CCF A]IEEE TMC, 2025
Jiyuan Feng(PhD)&Qing Liao*, etc.
TaylorS: A Multi-Order Expansion Structure for Urban Spatio-Temporal Forecasting (Code)
[CCF A]IEEE TKDE, 2025
Jianyang Qin(PhD)&Qing Liao*, etc.
CGoFed: Constrained Gradient Optimization Strategy for Federated Class Incremental Learning (Code)
[CCF A]IEEE TKDE, 2025
Jiyuan Feng(PhD)&Qing Liao*, etc.
Adaptive Data and Task Joint Scheduling for Multi-Task Learning (Code)
[CCF A]ICDE, 2025
Zeyu Liu(Master)&Qing Liao*, etc.
Joint Scheduling of Causal Prompts and Tasks for Multi-Task Learning (Code)
[CCF A]CVPR, 2025
Chaoyang Li(PhD)&Qing Liao*, etc.
Multi-Task Causal Contrastive Learning (Code)
IEEE TNNLS, 2025
Chaoyang Li(PhD)&Qing Liao*, etc.
FedCSR: A Federated Framework for Multi-Platform Cross-Domain Sequential Recommendation with Dual Contrastive Learning (Code)
COLING, 2025
Dongyi Zheng(PhD)&Qing Liao*, etc.
MUSE-Net: Disentangling Multi-Periodicity for Traffic Flow Forecasting (Code)
[CCF A]IEEE ICDE, 2024
Jianyang Qin(PhD)&Qing Liao*, etc.
SGCL: Semantic-aware Graph Contrastive Learning with Lipschitz Graph Augmentation (Code)
[CCF A]IEEE ICDE, 2024
Jinhao Cui(Master)&Qing Liao*, etc.
Towards Task-Conflicts Momentum-Calibrated Approach for Multi-task Learning (Code)
[CCF A]IEEE ICDE, 2024
Heyan Chai(PhD)&Qing Liao*, etc.
FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning (Code)
IEEE SDM, 2024
Hongyu Zhang(Master)&Qing Liao*, etc.
Learning From Easy to Hard: Multi-task Learning With Data Scheduling (Code)
IEEE ICASSP, 2024
Zeyu Liu(Master)&Qing Liao*, etc.
MG-SIN: Multi-Graph Sparse Interaction Network for Multi-Task Stance Detection (Code)
IEEE TNNLS, 2023
Heyan Chai(PhD)&Qing Liao*, etc.
Improving Gradient Trade-offs between Tasks in Multi-task Text Classification (Code)
[CCF A]ACL, 2023
Heyan Chai(PhD)&Qing Liao*, etc.
Temporal-Relational Matching Network for Few-shot Temporal Knowledge Graph Completion (Code)
DASFAA, 2023
Xing Gong(Master)&Qing Liao*, etc.
FedGR:Federated Learning with Gravitation Regulation for Double Imbalance Distribution (Code)
DASFAA, 2023
Songyue Guo(Master)&Qing Liao*, etc.
A Model-Agnostic Approach to Mitigate Gradient Interference for Multi-Task Learning (Code)
IEEE TCYB, 2022
Heyan Chai(PhD)&Qing Liao*, etc.
Affective Knowledge Enhanced Multiple-Graph Fusion Networks for Aspect-based Sentiment Analysis (Code)
EMNLP, 2022
Siyu Tang(Master)&Qing Liao*, etc.