Junfeng Fang
28 papers · 2023–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (14) π Conference Polyglot (7) π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (27)
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Dynamic Duo
(11)
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Grand Slam
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Keyword Collector
(79)
β
The Questioner
β‘
Prolific Year
(20)
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Century Club
(26)
Conferences
ACL (7)
ICLR (7)
ICML (6)
EMNLP (3)
NIPS (2)
AAAI (1)
ICCV (1)
IJCAI (1)
Top co-authors
Research topics
Keywords
knowledge editing
(5)
large language model
(5)
vision-language model
(4)
hallucination mitigation
(3)
graph neural network
(3)
attention mechanism
(2)
multimodal large language model
(2)
large vision-language model
(2)
model editing
(2)
knowledge distillation
(1)
multi-modal learning
(1)
test-time adaptation
(1)
language model alignment
(1)
model safety
(1)
prototype learning
(1)
vision-language alignment
(1)
knowledge graph
(1)
multimodal learning
(1)
direct preference optimization
(1)
image clustering
(1)
Papers
Hierarchical Semantic Alignment for Image Clustering
AAAI 2026
Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation
ACL 2026
Neuron-Level Sequential Editing for Large Language Models
ACL 2025
Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts
ACL 2025
Context-DPO: Aligning Language Models for Context-Faithfulness
ACL 2025
Forget the Token and Pixel: Rethinking Gradient Ascent for Concept Unlearning in Multimodal Generative Models
ACL 2025
Safety in Large Reasoning Models: A Survey
EMNLP 2025
Knowledge Graph-Driven Memory Editing with Directional Interventions
EMNLP 2025
Steering LVLMs via Sparse Autoencoder for Hallucination Mitigation
EMNLP 2025
Dynamic Multimodal Prototype Learning in Vision-Language Models
ICCV 2025
Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck
ICLR 2025
Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence
ACL 2025
On the Role of Attention Heads in Large Language Model Safety
ICLR 2025
AnyEdit: Edit Any Knowledge Encoded in Language Models
ICML 2025
Reinforced Lifelong Editing for Language Models
ICML 2025
DAMA: Data- and Model-aware Alignment of Multi-modal LLMs
ICML 2025
Multi-agent Architecture Search via Agentic Supernet
ICML 2025
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
ICML 2025
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
ICLR 2025
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
ICLR 2025
Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness
ICLR 2025
AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models
ICLR 2025
MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction
IJCAI 2024
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
ICML 2024
MolTC: Towards Molecular Relational Modeling In Language Models
ACL 2024
Towards Neuron Attributions in Multi-Modal Large Language Models
NIPS 2024
Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective
ICLR 2023
Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis
NIPS 2023