Wei Shen
100 papers · 2013–2026 · 15 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (12) π Conference Polyglot (15) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (13)
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(13)
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Renaissance Researcher
(12)
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Taxonomy Completionist
(118)
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Conference Loyalist
(23)
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Triple Crown
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Grand Slam
π₯
Mega-Team
(21)
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Deep Specialist
(15)
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Keyword Champion
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Dynamic Duo
(18)
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Topic Evolution
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Century Club
(92)
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Unstoppable
(6)
ποΈ
Keyword Collector
(347)
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The Questioner
β‘
Prolific Year
(10)
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Conference Pioneer
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Trend Setter
Conferences
CVPR (23)
AAAI (16)
ECCV (9)
EMNLP (8)
ICCV (8)
ICLR (8)
ICML (7)
ACL (5)
NIPS (5)
IJCAI (3)
MICCAI (3)
WACV (2)
AISTATS (1)
MIDL (1)
NAACL (1)
Top co-authors
Research topics
Keywords
image segmentation
(7)
transfer learning
(7)
large language model
(7)
convolutional neural network
(6)
vision-language model
(6)
attention mechanism
(5)
semantic segmentation
(5)
object detection
(5)
segment anything model
(4)
reinforcement learning
(4)
medical image segmentation
(4)
contrastive learning
(4)
computer vision
(4)
parameter-efficient fine-tuning
(4)
neural radiance field
(3)
self-supervised learning
(3)
representation learning
(3)
language model alignment
(3)
vision transformer
(3)
reinforcement learning from human feedback
(3)
Papers
Pre-DPO: Improving Data Utilization in Direct Preference Optimization Using a Guiding Reference Model
AAAI 2026
Efficient Segmentation with Multimodal Large Language Model via Token Routing
AAAI 2026
WorldGrow: Generating Infinite 3D World
AAAI 2026
Dereflection Any Image with Diffusion Priors and Diversified Data
AAAI 2026
A Novel Retrieve-Read-Group Paradigm for Open Knowledge Base Canonicalization
AAAI 2026
Few-step Flow for 3D Generation via Marginal-Data Transport Distillation
AAAI 2026
Unveiling the Unknown: Open-Set Entity Typing via Two-Stage Generation
ACL 2026
CP-CLIP: Customized Parameter Generation for Open-vocabulary Semantic Segmentation
AAAI 2026
FATE: Feature-Adapted Parameter Tuning for Vision-Language Models
AAAI 2025
Label-Free Backdoor Attacks in Vertical Federated Learning
AAAI 2025
A Triple-View Framework for Fine-Grained Emotion Classification with Clustering-Guided Contrastive Learning
ACL 2025
LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models
ACL 2025
Mitigating Posterior Salience Attenuation in Long-Context LLMs with Positional Contrastive Decoding
ACL 2025
EndoDAV: Depth Any Video in Endoscopy with Spatiotemporal Accuracy
MICCAI 2025
Policy Filtration for RLHF to Mitigate Noise in Reward Models
ICML 2025
On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures
ICML 2025
AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence
ICML 2025
Tackling View-Dependent Semantics in 3D Language Gaussian Splatting
ICML 2025
Unleashing the Power of Task-Specific Directions in Parameter Efficient Fine-tuning
ICLR 2025
Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning
ICLR 2025
Learning LLM-as-a-Judge for Preference Alignment
ICLR 2025
RMB: Comprehensively benchmarking reward models in LLM alignment
ICLR 2025
A Token-level Text Image Foundation Model for Document Understanding
ICCV 2025
Generalized Tensor-based Parameter-Efficient Fine-Tuning via Lie Group Transformations
ICCV 2025
Learning from LLM Agents: In-Context Generative Models for Text Casing in E-Commerce Ads
EMNLP 2025
Joint Enhancement of Relational Reasoning for Long-Context LLMs
EMNLP 2025
OpenRLHF: A Ray-based Easy-to-use, Scalable and High-performance RLHF Framework
EMNLP 2025
Domain Generalization in CLIP via Learning with Diverse Text Prompts
CVPR 2025
Marten: Visual Question Answering with Mask Generation for Multi-modal Document Understanding
CVPR 2025
Understanding Fine-tuning CLIP for Open-vocabulary Semantic Segmentation in Hyperbolic Space
CVPR 2025
Star with Bilinear Mapping
CVPR 2025
Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation
CVPR 2025
Segment Any 3D Gaussians
AAAI 2025
UniProcessor: A Text-induced Unified Low-level Image Processor
ECCV 2024
Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation
NIPS 2024
ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization
AAAI 2024
SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction
AAAI 2024
Partial Label Learning with a Partner
AAAI 2024
LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin
ACL 2024
Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization
AISTATS 2024
Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model
CVPR 2024
PosFormer: Recognizing Complex Handwritten Mathematical Expression with Position Forest Transformer
ECCV 2024
Tendency-driven Mutual Exclusivity for Weakly Supervised Incremental Semantic Segmentation
ECCV 2024
Bridging Synthetic and Real Worlds for Pre-training Scene Text Detectors
ECCV 2024
Reward Modeling Requires Automatic Adjustment Based on Data Quality
EMNLP 2024
Leveraging Web-Crawled Data for High-Quality Fine-Tuning
EMNLP 2024
Improving Generalization of Alignment with Human Preferences through Group Invariant Learning
ICLR 2024
Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback
ICML 2024
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
ICML 2024
EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting
MICCAI 2024
Missing as Masking: Arbitrary Cross-modal Feature Reconstruction for Incomplete Multimodal Brain Tumor Segmentation
MICCAI 2024
Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation
CVPR 2023
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery
CVPR 2023
Intriguing Findings of Frequency Selection for Image Deblurring
AAAI 2023
CL-QR: Cross-Lingual Enhanced Query Reformulation for Multi-lingual Conversational AI Agents
EMNLP 2023
Self-Supervised Implicit Glyph Attention for Text Recognition
CVPR 2023
Low-Resource Personal Attribute Prediction from Conversations
AAAI 2023
Improving Contextual Query Rewrite for Conversational AI Agents through User-preference Feedback Learning
EMNLP 2023
NeRFVS: Neural Radiance Fields for Free View Synthesis via Geometry Scaffolds
CVPR 2023
Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback
EMNLP 2023
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning
AAAI 2023
Segment Anything in 3D with NeRFs
NIPS 2023
Self-Supervised Character-to-Character Distillation for Text Recognition
ICCV 2023
Agglomerative Transformer for Human-Object Interaction Detection
ICCV 2023
USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation
ICCV 2023
Video-based Human-Object Interaction Detection from Tubelet Tokens
NIPS 2022
Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation
MIDL 2022
Enhancing Self-Attention with Knowledge-Assisted Attention Maps
NAACL 2022
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation
ECCV 2022
End-to-End Human-Gaze-Target Detection With Transformers
CVPR 2022
ContrastMask: Contrastive Learning To Segment Every Thing
CVPR 2022
Image BERT Pre-training with Online Tokenizer
ICLR 2022
BΓ©zierPalm: A Free Lunch for Palmprint Recognition
ECCV 2022
Iwin: Human-Object Interaction Detection via Transformer with Irregular Windows
ECCV 2022
Community Question Answering Entity Linking via Leveraging Auxiliary Data
IJCAI 2022
Shape-Texture Debiased Neural Network Training
ICLR 2021
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
ICLR 2021
Looking Here or There? Gaze Following in 360-Degree Images
ICCV 2021
Glance-and-Gaze Vision Transformer
NIPS 2021
Dual Attention Guided Gaze Target Detection in the Wild
CVPR 2021
Deeply Shape-Guided Cascade for Instance Segmentation
CVPR 2021
Deep Distance Transform for Tubular Structure Segmentation in CT Scans
CVPR 2020
Robust Face Detection via Learning Small Faces on Hard Images
WACV 2020
Resisting Large Data Variations via Introspective Transformation Network
WACV 2020
Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation
ECCV 2020
Gradually Updated Neural Networks for Large-Scale Image Recognition
ICML 2018
Few-Shot Image Recognition by Predicting Parameters From Activations
CVPR 2018
Single-Shot Object Detection With Enriched Semantics
CVPR 2018
Deep Regression Forests for Age Estimation
CVPR 2018
Hi-Fi: Hierarchical Feature Integration for Skeleton Detection
IJCAI 2018
Deep Co-Training for Semi-Supervised Image Recognition
ECCV 2018
Label Distribution Learning Forests
NIPS 2017
Learning Residual Images for Face Attribute Manipulation
CVPR 2017
Multi-Stage Multi-Recursive-Input Fully Convolutional Networks for Neuronal Boundary Detection
ICCV 2017
ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond
ICCV 2017
Object Skeleton Extraction in Natural Images by Fusing Scale-Associated Deep Side Outputs
CVPR 2016
Multi-Oriented Text Detection With Fully Convolutional Networks
CVPR 2016
DeepContour: A Deep Convolutional Feature Learned by Positive-Sharing Loss for Contour Detection
CVPR 2015
Symmetry-Based Text Line Detection in Natural Scenes
CVPR 2015
Improving Traffic Prediction with Tweet Semantics
IJCAI 2013