Fei Wang
147 papers · 1999–2026 · 21 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.
Achievements
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πΊοΈ Taxonomy Completionist (181) π Interdisciplinary Bridge Β· Gold π Conference Polyglot Β· Diamond π Academic Marathon Β· Ultra π£ Hot Topic Early Bird
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Conference Loyalist
(33)
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Grand Slam
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Triple Crown
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Deep Specialist
(27)
π
Keyword Trendsetter Combo
(3)
π§¬
Topic Evolution
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Keyword Champion
(2)
π§
Keyword Pioneer
π₯
Mega-Team Β· Squad
π€
Dynamic Duo
(33)
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Conference Pioneer
π₯
Unstoppable Β· Silver
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The Questioner
(3)
β‘
Prolific Year Β· Absurd
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Century Club Β· Gold
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Renaissance Researcher
(12)
ποΈ
Keyword Collector
(663)
Venues
Top co-authors
Research topics
Machine Learning
(91)
Deep Learning
(68)
Artificial Intelligence
(62)
Core AI
(54)
Learning Types Β· Machine Learning
(43)
Computer Vision
(39)
Application Areas
(39)
Core Methods
(39)
Learning Types Β· Deep Learning
(34)
Natural Language Processing
(30)
Analysis
(29)
Architectures
(21)
Optimization & Theory
(18)
Resources & Methods
(15)
Models
(12)
Keywords
large language model
(15)
representation learning
(11)
model compression
(9)
neural architecture search
(9)
attention mechanism
(7)
contrastive learning
(6)
image classification
(6)
object detection
(6)
multimodal learning
(6)
knowledge distillation
(6)
neural network
(5)
convolutional neural network
(5)
semi-supervised learning
(5)
diffusion model
(5)
self-supervised learning
(4)
image restoration
(4)
multi-task learning
(4)
deep neural network
(4)
semantic segmentation
(3)
action recognition
(3)
Papers
APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift
AAAI 2026
Localizing, Structuring, and Rendering: Bridging 3D and 2D Vision-Language-Action Models for Robotic Manipulation
CVPR 2026
MA-Bench: Towards Fine-grained Micro-Action Understanding
CVPR 2026
MimicTalker: A Multimodal Interactive and Memory-Enhanced Framework for Real-Time Dyadic 3D Head Generation
CVPR 2026
Multimodal Protein Language Models for Enzyme Kinetic Parameters: From Substrate Recognition to Conformational Adaptation
CVPR 2026
Parameterized Prompt for Incremental Object Detection
CVPR 2026
Rethinking Depression Prediction from a Fine-Grained Subscore Modeling Perspective via Multi-Task Learning
ACL 2026
Aligning to Constraints for Data-Efficient Language Model Customization
NAACL 2025
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
ACL 2025
BadJudge: Backdoor Vulnerabilities of LLM-As-A-Judge
ICLR 2025
Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset
ICLR 2025
CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases
NAACL 2025
Conditional Causal Representation Learning for Heterogeneous Single-cell RNA Data Integration and Prediction
IJCAI 2025
Diffusion-based Realistic Listening Head Generation via Hybrid Motion Modeling
CVPR 2025
Editing Memories Through Few Targeted Neurons
AAAI 2025
Fine-Grained 3D Gaussian Head Avatars Modeling from Static Captures via Joint Reconstruction and Registration
ICCV 2025
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning
NAACL 2025
Geometric Feature Embedding for Effective 3D Few-Shot Class Incremental Learning
ICML 2025
HiLoTs: High-Low Temporal Sensitive Representation Learning for Semi-Supervised LiDAR Segmentation in Autonomous Driving
CVPR 2025
IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory
ACL 2025
Leveraging Global Stereo Consistency for Category-Level Shape and 6D Pose Estimation from Stereo Images
CVPR 2025
Local Causal Discovery for Structural Evidence of Direct Discrimination
AAAI 2025
MMAD: Multi-label Micro-Action Detection in Videos
ICCV 2025
MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models
AAAI 2025
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding
ICLR 2025
PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-Resolution
ICCV 2025
Rethinking Large Language Model Architectures for Sequential Recommendations
IJCNLP 2025
SudoLM: Learning Access Control of Parametric Knowledge with Authorization Alignment
ACL 2025
A Density-driven Iterative Prototype Optimization for Transductive Few-shot Learning
IJCAI 2024
CLAP: Collaborative Adaptation for Patchwork Learning
ICLR 2024
Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking
NAACL 2024
Combating Security and Privacy Issues in the Era of Large Language Models
NAACL 2024
Contrastive Instruction Tuning
ACL 2024
Conversational Question Answering with Language Models Generated Reformulations over Knowledge Graph
ACL 2024
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models
EMNLP 2024
Deceptive Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination?
NAACL 2024
Enhancing LLM Capabilities Beyond Scaling Up
EMNLP 2024
EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within Transformer
AAAI 2024
Exploring Spatio-Temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis
MICCAI 2024
Frequency Decoupling for Motion Magnification via Multi-Level Isomorphic Architecture
CVPR 2024
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE
NAACL 2024
Harnessing the Power of MLLMs for Transferable Text-to-Image Person ReID
CVPR 2024
Instructional Fingerprinting of Large Language Models
NAACL 2024
Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models
NAACL 2024
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing
EMNLP 2024
Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs
UAI 2024
MassSpecGym: A benchmark for the discovery and identification of molecules
NeurIPS 2024
mDPO: Conditional Preference Optimization for Multimodal Large Language Models
EMNLP 2024
Microkernel Goes General: Performance and Compatibility in the HongMeng Production Microkernel
OSDI 2024
Monotonic Paraphrasing Improves Generalization of Language Model Prompting
EMNLP 2024
Person-in-WiFi 3D: End-to-End Multi-Person 3D Pose Estimation with Wi-Fi
CVPR 2024
Rethinking Tabular Data Understanding with Large Language Models
NAACL 2024
Self-Improvement Programming for Temporal Knowledge Graph Question Answering
COLING 2024
Sketch2Vox: Learning 3D Reconstruction from a Single Monocular Sketch Image
ECCV 2024
Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling
NeurIPS 2024
A Causal View of Entity Bias in (Large) Language Models
EMNLP 2023
Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier
ICCV 2023
DamoFD: Digging into Backbone Design on Face Detection
ICLR 2023
Dense Retrieval as Indirect Supervision for Large-space Decision Making
EMNLP 2023
FairLISA: Fair User Modeling with Limited Sensitive Attributes Information
NeurIPS 2023
How Fragile is Relation Extraction under Entity Replacements?
CoNLL 2023
Improving Factuality of Abstractive Summarization without Sacrificing Summary Quality
ACL 2023
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
ICML 2023
Knowledge Diffusion for Distillation
NeurIPS 2023
Learning Attention from Attention: Efficient Self-Refinement Transformer for Face Super-Resolution
IJCAI 2023
Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields
CVPR 2023
Locate and Beamform: Two-dimensional Locating All-neural Beamformer for Multi-channel Speech Separation
Interspeech 2023
Masked Distillation with Receptive Tokens
ICLR 2023
Robust Natural Language Understanding with Residual Attention Debiasing
ACL 2023
SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation
CVPR 2023
SDNet: Stream-attention and Dual-feature Learning Network for Ad-hoc Array Speech Separation
Interspeech 2023
Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer
IJCNLP 2023
SimMatchV2: Semi-Supervised Learning with Graph Consistency
ICCV 2023
UV Volumes for Real-Time Rendering of Editable Free-View Human Performance
CVPR 2023
A Keypoint-Based Global Association Network for Lane Detection
CVPR 2022
BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis
ACL 2022
Contrastive Graph Structure Learning via Information Bottleneck for Recommendation
NeurIPS 2022
Deep Recurrent Neural Network with Multi-Scale Bi-directional Propagation for Video Deblurring
AAAI 2022
Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing
EMNLP 2022
DyRep: Bootstrapping Training With Dynamic Re-Parameterization
CVPR 2022
Face2Exp: Combating Data Biases for Facial Expression Recognition
CVPR 2022
GreedyNASv2: Greedier Search With a Greedy Path Filter
CVPR 2022
Green Hierarchical Vision Transformer for Masked Image Modeling
NeurIPS 2022
HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors
ECCV 2022
IDPT: Interconnected Dual Pyramid Transformer for Face Super-Resolution
IJCAI 2022
Knowledge Distillation from A Stronger Teacher
NeurIPS 2022
Learning Where To Learn in Cross-View Self-Supervised Learning
CVPR 2022
MogFace: Towards a Deeper Appreciation on Face Detection
CVPR 2022
Relational Surrogate Loss Learning
ICLR 2022
Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning
NAACL 2022
Salience Allocation as Guidance for Abstractive Summarization
EMNLP 2022
ScaleNet: Searching for the Model to Scale
ECCV 2022
SimMatch: Semi-Supervised Learning With Similarity Matching
CVPR 2022
Uncertainty-Aware Learning against Label Noise on Imbalanced Datasets
AAAI 2022
ViTAS: Vision Transformer Architecture Search
ECCV 2022
Zero-Shot Cross-Lingual Sequence Tagging as Seq2Seq Generation for Joint Intent Classification and Slot Filling
EMNLP 2022
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning
NeurIPS 2021
Adversarial Example Detection Using Latent Neighborhood Graph
ICCV 2021
BCNet: Searching for Network Width With Bilaterally Coupled Network
CVPR 2021
Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation
CVPR 2021
Fast Multi-view Discrete Clustering with Anchor Graphs
AAAI 2021
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets
ICML 2021
Learning To Restore Hazy Video: A New Real-World Dataset and a New Method
CVPR 2021
Learning With Privileged Tasks
ICCV 2021
Locally Free Weight Sharing for Network Width Search
ICLR 2021
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models
JMLR 2021
Prioritized Architecture Sampling With Monto-Carlo Tree Search
CVPR 2021
Reformulating HOI Detection As Adaptive Set Prediction
CVPR 2021
ReSSL: Relational Self-Supervised Learning with Weak Augmentation
NeurIPS 2021
Robust Speaker Extraction Network Based on Iterative Refined Adaptation
Interspeech 2021
Table-based Fact Verification With Salience-aware Learning
EMNLP 2021
Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search
CVPR 2021
Weakly Supervised Contrastive Learning
ICCV 2021
A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation
AAAI 2020
Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space
NeurIPS 2020
A Real-Time Cross-Modality Correlation Filtering Method for Referring Expression Comprehension
CVPR 2020
CentripetalNet: Pursuing High-Quality Keypoint Pairs for Object Detection
CVPR 2020
CorefQA: Coreference Resolution as Query-based Span Prediction
ACL 2020
Federated Patient Hashing
AAAI 2020
GreedyNAS: Towards Fast One-Shot NAS With Greedy Supernet
CVPR 2020
ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding
NeurIPS 2020
Local Correlation Consistency for Knowledge Distillation
ECCV 2020
Multi-Scale Boosted Dehazing Network With Dense Feature Fusion
CVPR 2020
Neural Cognitive Diagnosis for Intelligent Education Systems
AAAI 2020
PPDM: Parallel Point Detection and Matching for Real-Time Human-Object Interaction Detection
CVPR 2020
Structure-Based Drug-Drug Interaction Detection via Expressive Graph Convolutional Networks and Deep Sets (Student Abstract)
AAAI 2020
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization
AAAI 2019
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition
AAAI 2019
Deep Comprehensive Correlation Mining for Image Clustering
ICCV 2019
Discriminative Feature Learning With Consistent Attention Regularization for Person Re-Identification
ICCV 2019
Glyce: Glyph-vectors for Chinese Character Representations
NeurIPS 2019
On Boosting Single-Frame 3D Human Pose Estimation via Monocular Videos
ICCV 2019
Person-in-WiFi: Fine-Grained Person Perception Using WiFi
ICCV 2019
Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios
AAAI 2019
Backpropagation with Callbacks: Foundations for Efficient and Expressive Differentiable Programming
NeurIPS 2018
Boosted Sparse and Low-Rank Tensor Regression
NeurIPS 2018
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders
IJCAI 2018
Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses
ECCV 2018
Integrating Hypertension Phenotype and Genotype with Hybrid Non-negative Matrix Factorization
MLHC 2018
Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction
IJCAI 2018
The Devil of Face Recognition is in the Noise
ECCV 2018
Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study
IJCAI 2017
Residual Attention Network for Image Classification
CVPR 2017
Active Learning from Relative Queries
IJCAI 2013
Listening to the Crowd: Automated Analysis of Events via Aggregated Twitter Sentiment
IJCAI 2013
Exploiting Discourse Relations for Sentiment Analysis
COLING 2012
Semi-Supervised Mean Fields
AISTATS 1999