PPaperPicks

Qing Liao

Harbin Institute of Technology, School of Computer Science and Technology, Shenzhen, China

20 papers at tracked venues · 17 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Cause-CSD: A Challenge Multimodal Conversational Stance Cause Detection Dataset and Effective Method
  2. Cognitive Policy-Driven LLM for Diagnosis and Intervention of Cognitive Distortions in Emotional Support Conversation
  3. Debiased Dual-Invariant Defense for Adversarially Robust Person Re-Identification
  4. Improving Heterogeneous Graph Contrastive Learning Robustness via Hierarchical Vulnerability Protection
  5. Modeling Multi-Dimensional Cognitive States in Large Language Models under Cognitive Crowding
  6. TwiUSD: A Benchmark Dataset and Structure-Aware LLM Framework for User Stance Detection
  7. Adaptive Data and Task Joint Scheduling for Multi-Task Learning
  8. Bridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and Segmentation
  9. CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and Language
  10. Cross-Modal Causal Scheduling for Enhancing Target-Oriented Multi-modal Sentiment Classification
  11. Joint Scheduling of Causal Prompts and Tasks for Multi-Task Learning
  12. Robust and Consistent Anchor Graph Learning for Multi-View Clustering (Extended Abstract)
  13. S3E: Self-Supervised State Estimation for Radar-Inertial System
  14. Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRA in Continual Learning
  15. Conditional Backdoor Attack via JPEG Compression
  16. FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning
  17. FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling
  18. MUSE-Net: Disentangling Multi-Periodicity for Traffic Flow Forecasting
  19. SGCL: Semantic-aware Graph Contrastive Learning with Lipschitz Graph Augmentation
  20. Towards Task-Conflicts Momentum-Calibrated Approach for Multi-task Learning