Fenglong Ma
50 papers · 2019–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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πΊοΈ Taxonomy Completionist (88) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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(11)
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The Questioner
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(5)
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Venues
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Research topics
Artificial Intelligence
(37)
Machine Learning
(36)
Core AI
(33)
Deep Learning
(23)
Learning Types Β· Machine Learning
(23)
Natural Language Processing
(16)
Learning Types Β· Deep Learning
(14)
Application Areas
(10)
Core Methods
(10)
Applications
(9)
Learning Paradigms
(9)
Healthcare & Medicine
(8)
Clinical
(8)
Optimization & Theory
(7)
Models
(6)
Keywords
multimodal learning
(7)
text classification
(6)
federated learning
(6)
adversarial attack
(5)
medical imaging
(4)
large language model
(4)
semantic similarity
(4)
few-shot learning
(4)
graph neural network
(3)
contrastive learning
(3)
foundation model
(3)
multi-label classification
(3)
vision-language model
(3)
transfer learning
(3)
visual question answering
(3)
black-box attack
(3)
jailbreak attack
(3)
query efficiency
(2)
self-attention mechanism
(2)
deep learning
(2)
Papers
AutoRAN: Automated Hijacking of Safety Reasoning in Large Reasoning Models
ACL 2026
Can Factual Opinions Be Edited (Manipulated) in Large Language Models?
ACL 2026
Dynamic Token Reweighting for Robust Vision-Language Models
CVPR 2026
Enhancing Medical Large Vision-Language Models via Alignment Distillation
AAAI 2026
GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models
ACL 2026
ICDAGENT: Empowering Agentic Large Language Models for Explainable Medical Coding
ACL 2026
Multi-graph Fusion Cross-model Contrastive Learning for Recommendation
AAAI 2026
Self-Supervised Contrastive Re-Learning for Multi-Graph Multi-Label Classification
AAAI 2026
Towards Robust Multimodal Large Language Models Against Jailbreak Attacks
CVPR 2026
AdaDHP: Fine-Grained Fine-Tuning via Dual Hadamard Product and Adaptive Parameter Selection
ACL 2025
Enhancing Foundation Models with Federated Domain Knowledge Infusion
ICML 2025
Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning
ACL 2025
Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning
AAAI 2025
RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models
ICLR 2025
Shadow-Activated Backdoor Attacks on Multimodal Large Language Models
ACL 2025
BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models
EMNLP 2024
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning
ICML 2024
CoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning
COLING 2024
Depression Detection via Capsule Networks with Contrastive Learning
AAAI 2024
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models
EMNLP 2024
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection
NeurIPS 2024
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing
AAAI 2024
Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization
NeurIPS 2024
pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning
NeurIPS 2024
Recent Advances in Predictive Modeling with Electronic Health Records
IJCAI 2024
Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction
AAAI 2024
Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources
ACL 2024
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models
AAAI 2024
Zero-Resource Hallucination Prevention for Large Language Models
EMNLP 2024
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors
IJCAI 2023
Boosting Few-Shot Text Classification via Distribution Estimation
AAAI 2023
Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks
NeurIPS 2023
Hierarchical Pretraining on Multimodal Electronic Health Records
EMNLP 2023
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text
NeurIPS 2023
SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack
AAAI 2023
Towards Personalized Federated Learning via Heterogeneous Model Reassembly
NeurIPS 2023
UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation
NeurIPS 2023
VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models
NeurIPS 2023
Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation
COLING 2022
QUALIFIER: Question-Guided Self-Attentive Multimodal Fusion Network for Audio Visual Scene-Aware Dialog
WACV 2022
RealMedDial: A Real Telemedical Dialogue Dataset Collected from Online Chinese Short-Video Clips
COLING 2022
TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text
AAAI 2022
Fusion: Towards Automated ICD Coding via Feature Compression
ACL 2021
i-Algebra: Towards Interactive Interpretability of Deep Neural Networks
AAAI 2021
Knowledge-Guided Paraphrase Identification
EMNLP 2021
SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations
IJCAI 2021
Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation
ACL 2021
Weak Supervision for Fake News Detection via Reinforcement Learning
AAAI 2020
Metric Learning on Healthcare Data with Incomplete Modalities
IJCAI 2019
Multi-grained Named Entity Recognition
ACL 2019