← Authors

Yefeng Zheng

116 papers · 2018–2026 · 17 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (19) 🧭 Keyword Pioneer 🌍 Conference Polyglot (17) πŸƒ Academic Marathon (8) 🐝 Cross-Pollinator (9) πŸ‘‘ Domain Dominant (32) πŸ† Grand Slam πŸ† Keyword Champion (2) 🧬 Topic Evolution 🀝 Dynamic Duo (37) πŸ”¬ Deep Specialist (18) ❓ The Questioner (3) ⚑ Prolific Year (8) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (439) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (9) πŸ’Ž Century Club (115)

Conferences

AAAI (16) ACL (13) CVPR (13) MICCAI (13) COLING (12) EMNLP (11) NIPS (7) IJCAI (7) ICCV (6) ECCV (5) IJCNLP (5) NAACL (2) ICLR (2) ICML (1) EACL (1) SEMEVAL (1) WACV (1)

Top co-authors

Xian Wu (37) Yuexiang Li (23) Yawen Huang (20) Ziheng Zhang (15) Kai Ma (14) Xi Chen (13) Ruihui Zhao (12) Dong Wei (12) Yunyan Zhang (12) Huimin Wang (11)

Research topics

Techniques (1)

Keywords

large language model (15) semantic segmentation (8) medical imaging (7) medical image segmentation (7) contrastive learning (6) generative adversarial network (6) relation extraction (6) domain generalization (5) entity extraction (5) graph neural network (5) knowledge graph (4) fraud detection (4) domain adaptation (4) transfer learning (4) multimodal learning (4) representation learning (4) image generation (4) few-shot learning (4) variational inference (3) unsupervised learning (3)

Papers

Multimodal Mixture-of-Experts with Retrieval Augmentation for Protein Active Site Identification AAAI 2026
QUOTA: Quantifying Objects with Text-to-Image Models for Any Domain WACV 2026
T2: An Adaptive Test-Time Scaling Strategy for Contextual Question Answering EMNLP 2025
MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models EMNLP 2025
D-CAM: Learning Generalizable Weakly-Supervised Medical Image Segmentation from Domain-invariant CAM MICCAI 2025
A Survey on Foundation Language Models for Single-cell Biology ACL 2025
Training-free LLM Merging for Multi-task Learning ACL 2025
Model Merging for Knowledge Editing ACL 2025
Can We Trust AI Doctors? A Survey of Medical Hallucination in Large Language and Large Vision-Language Models ACL 2025
A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs ACL 2025
NightAdapter: Learning a Frequency Adapter for Generalizable Night-time Scene Segmentation CVPR 2025
Monte Carlo Tree Search Based Prompt Autogeneration for Jailbreak Attacks against LLMs COLING 2025
Conservative-Radical Complementary Learning for Class-incremental Medical Image Analysis with Pre-trained Foundation Models MICCAI 2025
A Prior-Driven Lightweight Network for Endoscopic Exposure Correction MICCAI 2025
A Multimodal Contrastive Learning for Detecting Aortic Dissection on 3D Non-Contrast CT with Anatomy Simplification MICCAI 2025
A Layered Debating Multi-Agent System for Similar Disease Diagnosis NAACL 2025
TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency MICCAI 2025
RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation MICCAI 2025
PD-INR: Prior-Driven Implicit Neural Representations for TOF-PET Reconstruction MICCAI 2025
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation AAAI 2025
Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data ICCV 2025
TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure Segmentation ICCV 2025
Guiding Large Language Models for Biomedical Entity Linking via Restrictive and Contrastive Decoding EMNLP 2025
A Simple yet Mighty Hartley Diffusion Versatilist for Generalizable Dense Vision Tasks ICCV 2025
RareSyn: Health Record Synthesis for Rare Disease Diagnosis EMNLP 2025
MoME: Mixture of Multimodal Experts for Cancer Survival Prediction MICCAI 2024
LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation NIPS 2024
Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading NIPS 2024
MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey NIPS 2024
Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation NIPS 2024
Learning Generalized Medical Image Segmentation from Decoupled Feature Queries AAAI 2024
Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation AAAI 2024
Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation AAAI 2024
Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal AAAI 2024
Federated Learning via Input-Output Collaborative Distillation AAAI 2024
Pre-trained Online Contrastive Learning for Insurance Fraud Detection AAAI 2024
imapScore: Medical Fact Evaluation Made Easy ACL 2024
Alignment before Awareness: Towards Visual Question Localized-Answering in Robotic Surgery via Optimal Transport and Answer Semantics COLING 2024
Biomedical Entity Linking as Multiple Choice Question Answering COLING 2024
JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning COLING 2024
Knowledge-aware Attention Network for Medication Effectiveness Prediction COLING 2024
MKeCL: Medical Knowledge-Enhanced Contrastive Learning for Few-shot Disease Diagnosis COLING 2024
Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models COLING 2024
Tune-An-Ellipse: CLIP Has Potential to Find What You Want CVPR 2024
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification CVPR 2024
Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models CVPR 2024
DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection EMNLP 2024
Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding EMNLP 2024
Can LLMs Replace Clinical Doctors? Exploring Bias in Disease Diagnosis by Large Language Models EMNLP 2024
Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization ICML 2024
TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing IJCAI 2024
Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach IJCAI 2024
FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation MICCAI 2024
Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation MICCAI 2024
Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets MICCAI 2024
Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation MICCAI 2024
TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification MICCAI 2024
ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation AAAI 2023
Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation AAAI 2023
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities AAAI 2023
Dynamically Masked Discriminator for GANs NIPS 2023
CSS: A Large-scale Cross-schema Chinese Text-to-SQL Medical Dataset ACL 2023
CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation ACL 2023
Learning Visual Prior via Generative Pre-Training NIPS 2023
ICA-Proto: Iterative Cross Alignment Prototypical Network for Incremental Few-Shot Relation Classification EACL 2023
SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation CVPR 2023
FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs ICCV 2023
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion ICCV 2023
AdaptiveMix: Improving GAN Training via Feature Space Shrinkage CVPR 2023
Interactive Segmentation As Gaussion Process Classification CVPR 2023
Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network IJCAI 2023
Relation-aware Ensemble Learning for Knowledge Graph Embedding EMNLP 2023
Dialogue Medical Information Extraction with Medical-Item Graph and Dialogue-Status Enriched Representation EMNLP 2023
Identify Event Causality with Knowledge and Analogy AAAI 2023
Combating Mode Collapse via Offline Manifold Entropy Estimation AAAI 2023
Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction IJCAI 2022
β€œMy nose is running.” β€œAre you also coughing?”: Building A Medical Diagnosis Agent with Interpretable Inquiry Logics IJCAI 2022
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation ECCV 2022
Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning AAAI 2022
Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning EMNLP 2022
Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks ECCV 2022
PAC-Bayes Information Bottleneck ICLR 2022
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words COLING 2022
Multi-modal Contrastive Representation Learning for Entity Alignment COLING 2022
Finding Influential Instances for Distantly Supervised Relation Extraction COLING 2022
DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis COLING 2022
Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management NAACL 2021
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization EMNLP 2021
CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse ACL 2021
OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding ACL 2021
Multi-Anchor Active Domain Adaptation for Semantic Segmentation ICCV 2021
PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction ACL 2021
Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting ACL 2021
Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval ACL 2021
Stabilized Medical Image Attacks ICLR 2021
Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding IJCAI 2021
Alternative Baselines for Low-Shot 3D Medical Image Segmentation---An Atlas Perspective AAAI 2021
Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval IJCNLP 2021
Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting IJCNLP 2021
PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction IJCNLP 2021
OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding IJCNLP 2021
CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse IJCNLP 2021
CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse SEMEVAL 2021
Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling CVPR 2021
Calibrated RGB-D Salient Object Detection CVPR 2021
From Rain Generation to Rain Removal CVPR 2021
Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift IJCAI 2020
Dual Adversarial Network for Deep Active Learning ECCV 2020
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback NIPS 2020
LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation CVPR 2020
Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation ECCV 2020
Deep Image Clustering with Category-Style Representation ECCV 2020
An Industry Evaluation of Embedding-based Entity Alignment COLING 2020
Generative Adversarial Networks for Video-to-Video Domain Adaptation AAAI 2020
X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks CVPR 2019
Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network CVPR 2018