PPaperPicks

Fenglong Ma

48 papers at tracked venues · 39 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. AutoRAN: Automated Hijacking of Safety Reasoning in Large Reasoning Models
  2. Can Factual Opinions Be Edited (Manipulated) in Large Language Models?
  3. Enhancing Medical Large Vision-Language Models via Alignment Distillation
  4. GPR: Empowering Generation with Graph-Pretrained Retriever
  5. GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models
  6. Hierarchical Graph-Bag-Network for Self-Supervised Multi-Graph Learning
  7. ICDAGENT: Empowering Agentic Large Language Models for Explainable Medical Coding
  8. Multi-graph Fusion Cross-model Contrastive Learning for Recommendation
  9. Pru-CoT: Towards Efficient Reasoning Distillation via Pruning Chain-of-Thought
  10. SEP-Attack: A Simple and Effective Paradigm for Transfer-Based Textual Adversarial Attack
  11. Self-Supervised Contrastive Re-Learning for Multi-Graph Multi-Label Classification
  12. AdaDHP: Fine-Grained Fine-Tuning via Dual Hadamard Product and Adaptive Parameter Selection
  13. Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis
  14. Brain Effective Connectivity Estimation via Fourier Spatiotemporal Attention
  15. Coloring Learning for Heterophilic Graph Representation
  16. Enhancing Foundation Models with Federated Domain Knowledge Infusion
  17. Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning
  18. HQA-VLAttack: Towards High Quality Adversarial Attack on Vision-Language Pre-Trained Models
  19. MedDiTPro: A Prompt-Guided Diffusion Transformer for Multimodal Longitudinal Medical Data Synthesis
  20. Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning
  21. RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models
  22. SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models
  23. Shadow-Activated Backdoor Attacks on Multimodal Large Language Models
  24. Toward Generalizable, General-Purpose, and Multimodal Knowledge Editing for Foundation Models
  25. Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift
  26. Two-Stage Decoupling Framework for Variable-Length Glaucoma Prognosis
  27. Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions
  28. BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models
  29. Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning
  30. Clinical Trial Retrieval via Multi-grained Similarity Learning
  31. Depression Detection via Capsule Networks with Contrastive Learning
  32. Disentangling ID and Modality Effects for Session-based Recommendation
  33. FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models
  34. FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection
  35. FineRec: Exploring Fine-grained Sequential Recommendation
  36. Generative AI in the Wild: Prospects, Challenges, and Strategies
  37. Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality
  38. Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing
  39. MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation
  40. Mitigating Pooling Bias in E-commerce Search via False Negative Estimation
  41. Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization
  42. Recent Advances in Predictive Modeling with Electronic Health Records
  43. Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models
  44. Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction
  45. Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources
  46. VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models
  47. Zero-Resource Hallucination Prevention for Large Language Models
  48. pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning