PPaperPicks

Huan Liu

Arizona State University, School of Computing, Informatics, and Decision Systems Engineering, Tempe, AZ, USA

52 papers at tracked venues · 25 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. CausalBench+: Causal-Informed Machine Learning Benchmarking
  2. Causality Guided Representation Learning for Cross-Style Hate Speech Detection
  3. Cross-Domain Fake News Detection on Unseen Domains via LLM-Based Domain-Aware User Modeling
  4. Explaining the 'Unexplainable' Large Language Models
  5. Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens
  6. Model Editing as a Double-Edged Sword: Steering Agent Behavior Toward Beneficence or Harm
  7. On Causal and Anticausal LLM-based Data Synthesis
  8. RAIN: Redundancy-Aware Latent Injection for Quality-Preserving Image Watermarking
  9. Report on the Workshop on Benchmarking Causal Models (CausalBench) 2026
  10. ToolPRMBench: Evaluating and Advancing Process Reward Models for Tool-using Agents
  11. Workshop on Benchmarking Causal Models (CausalBench)
  12. AI4DE: The 1st International Workshop on AI for Data Editing
  13. An Interventional Approach to Real-Time Disaster Assessment via Causal Attribution
  14. Building Safer Sites: A Large-Scale Multi-Level Dataset for Construction Safety Benchmark
  15. C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection
  16. CausalBench-ER: Causally-Informed Explanations and Recommendations for Reproducible Benchmarking
  17. CausalBench: Causal Learning Research Streamlined
  18. CyberBOT: Ontology-Grounded Retrieval Augmented Generation for Reliable Cybersecurity Education
  19. From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge
  20. Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era
  21. GraphRCG: Self-Conditioned Graph Generation
  22. HGMP: Heterogeneous Graph Multi-Task Prompt Learning
  23. Heterogeneous Temporal Hypergraph Neural Network
    IJCAI 2025 · Huan Liu
  24. In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents
  25. Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract)
  26. ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks
  27. RelKD 2025: The Third International Workshop on Resource-Efficient Learning for Knowledge Discovery
  28. RelWeb 2025: The International Workshop on Resource-Efficient Learning for the Web
  29. Resource-Efficient Learning for the Web
  30. SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention
  31. Tuning-Free Accountable Intervention for LLM Deployment - a Metacognitive Approach
  32. VidEvo: Evolving Video Editing through Exhaustive Temporal Modeling
  33. Window Token Concatenation for Efficient Visual Large Language Models
  34. A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News Recommendation
  35. Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey
  36. Causality Guided Disentanglement for Cross-Platform Hate Speech Detection
  37. CyberQ: Generating Questions and Answers for Cybersecurity Education Using Knowledge Graph-Augmented LLMs
  38. DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature
  39. Defending Against Social Engineering Attacks in the Age of LLMs
  40. Disinformation Detection: An Evolving Challenge in the Age of LLMs
  41. Facial Affective Behavior Analysis with Instruction Tuning
  42. Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models
  43. Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning
  44. JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning
  45. Label Distribution Learning-Enhanced Dual-KNN for Text Classification
  46. Large Language Models for Data Annotation and Synthesis: A Survey
  47. RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery
  48. ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and Refinement
    SIGIR 2024 ·
    Saurabh Bhausaheb Zinjad
  49. Rethinking the Up-Sampling Operations in CNN-Based Generative Network for Generalizable Deepfake Detection
  50. Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention
  51. Sterling: Synergistic Representation Learning on Bipartite Graphs
  52. User Migration across Multiple Social Media Platforms