← Authors

Fei Wang

143 papers · 2012–2026 · 21 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌍 Conference Polyglot (21) πŸ—ΊοΈ Taxonomy Completionist (20) πŸƒ Academic Marathon (13) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🏠 Conference Loyalist (28) 🌟 Keyword Trendsetter Combo (3) 🀝 Dynamic Duo (33) πŸ‘‘ Triple Crown πŸ† Keyword Champion πŸ† Grand Slam πŸ‘₯ Mega-Team (40) πŸ”¬ Deep Specialist (27) πŸ”₯ Unstoppable (9) ⚑ Prolific Year (22) πŸš€ Conference Pioneer ❓ The Questioner (4) πŸ“ˆ Trend Setter πŸ’Ž Century Club (142) πŸ—ƒοΈ Keyword Collector (55)

Conferences

CVPR (28) AAAI (15) NIPS (14) EMNLP (12) ICCV (12) NAACL (11) ACL (9) IJCAI (9) ICLR (8) ECCV (7) INTERSPEECH (3) ICML (3) IJCNLP (2) COLING (2) AACL (2) CONLL (1) JMLR (1) MICCAI (1) MLHC (1) OSDI (1) UAI (1)

Top co-authors

Chen Qian (33) Muhao Chen (28) Shan You (23) Chang Xu (15) Changshui Zhang (13) Tao Huang (9) Mingkai Zheng (9) Chaowei Xiao (8) Wenxuan Zhou (7) Nan Xu (7)

Research topics

Education (2)

Keywords

large language model (16) representation learning (11) model compression (9) neural architecture search (7) attention mechanism (7) contrastive learning (6) image classification (5) knowledge distillation (5) object detection (5) neural network (5) diffusion model (5) semi-supervised learning (5) convolutional neural network (5) self-supervised learning (4) data augmentation (3) relation extraction (3) action recognition (3) domain adaptation (3) multimodal learning (3) one-shot learning (3)

Papers

APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift AAAI 2026
Leveraging Global Stereo Consistency for Category-Level Shape and 6D Pose Estimation from Stereo Images CVPR 2025
MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models AAAI 2025
Local Causal Discovery for Structural Evidence of Direct Discrimination AAAI 2025
Editing Memories Through Few Targeted Neurons AAAI 2025
BadJudge: Backdoor Vulnerabilities of LLM-As-A-Judge ICLR 2025
Rethinking Large Language Model Architectures for Sequential Recommendations AACL 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
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding ICLR 2025
Geometric Feature Embedding for Effective 3D Few-Shot Class Incremental Learning ICML 2025
MMAD: Multi-label Micro-Action Detection in Videos ICCV 2025
Diffusion-based Realistic Listening Head Generation via Hybrid Motion Modeling CVPR 2025
IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory ACL 2025
SudoLM: Learning Access Control of Parametric Knowledge with Authorization Alignment ACL 2025
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models ACL 2025
Conditional Causal Representation Learning for Heterogeneous Single-cell RNA Data Integration and Prediction IJCAI 2025
Rethinking Large Language Model Architectures for Sequential Recommendations IJCNLP 2025
HiLoTs: High-Low Temporal Sensitive Representation Learning for Semi-Supervised LiDAR Segmentation in Autonomous Driving CVPR 2025
Fine-Grained 3D Gaussian Head Avatars Modeling from Static Captures via Joint Reconstruction and Registration ICCV 2025
PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-Resolution ICCV 2025
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning NAACL 2025
Aligning to Constraints for Data-Efficient Language Model Customization NAACL 2025
Enhancing LLM Capabilities Beyond Scaling Up EMNLP 2024
MassSpecGym: A benchmark for the discovery and identification of molecules NIPS 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
Sketch2Vox: Learning 3D Reconstruction from a Single Monocular Sketch Image ECCV 2024
Deceptive Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination? NAACL 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
mDPO: Conditional Preference Optimization for Multimodal Large Language Models EMNLP 2024
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models EMNLP 2024
Monotonic Paraphrasing Improves Generalization of Language Model Prompting EMNLP 2024
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE NAACL 2024
Rethinking Tabular Data Understanding with Large Language Models NAACL 2024
Exploring Spatio-Temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis MICCAI 2024
EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within Transformer AAAI 2024
Conversational Question Answering with Language Models Generated Reformulations over Knowledge Graph ACL 2024
Contrastive Instruction Tuning ACL 2024
Self-Improvement Programming for Temporal Knowledge Graph Question Answering COLING 2024
A Density-driven Iterative Prototype Optimization for Transductive Few-shot Learning IJCAI 2024
CLAP: Collaborative Adaptation for Patchwork Learning ICLR 2024
Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs UAI 2024
Microkernel Goes General: Performance and Compatibility in the HongMeng Production Microkernel OSDI 2024
Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling NIPS 2024
Frequency Decoupling for Motion Magnification via Multi-Level Isomorphic Architecture CVPR 2024
Person-in-WiFi 3D: End-to-End Multi-Person 3D Pose Estimation with Wi-Fi CVPR 2024
Harnessing the Power of MLLMs for Transferable Text-to-Image Person ReID CVPR 2024
Locate and Beamform: Two-dimensional Locating All-neural Beamformer for Multi-channel Speech Separation INTERSPEECH 2023
Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer AACL 2023
A Causal View of Entity Bias in (Large) Language Models EMNLP 2023
DamoFD: Digging into Backbone Design on Face Detection ICLR 2023
Masked Distillation with Receptive Tokens ICLR 2023
SimMatchV2: Semi-Supervised Learning with Graph Consistency ICCV 2023
Dense Retrieval as Indirect Supervision for Large-space Decision Making EMNLP 2023
Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier ICCV 2023
FairLISA: Fair User Modeling with Limited Sensitive Attributes Information NIPS 2023
Knowledge Diffusion for Distillation NIPS 2023
How Fragile is Relation Extraction under Entity Replacements? EMNLP 2023
SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation CVPR 2023
Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields CVPR 2023
How Fragile is Relation Extraction under Entity Replacements? CONLL 2023
Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer IJCNLP 2023
SDNet: Stream-attention and Dual-feature Learning Network for Ad-hoc Array Speech Separation INTERSPEECH 2023
UV Volumes for Real-Time Rendering of Editable Free-View Human Performance CVPR 2023
Learning Attention from Attention: Efficient Self-Refinement Transformer for Face Super-Resolution IJCAI 2023
Robust Natural Language Understanding with Residual Attention Debiasing ACL 2023
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models ICML 2023
Improving Factuality of Abstractive Summarization without Sacrificing Summary Quality ACL 2023
SimMatch: Semi-Supervised Learning With Similarity Matching CVPR 2022
Green Hierarchical Vision Transformer for Masked Image Modeling NIPS 2022
Contrastive Graph Structure Learning via Information Bottleneck for Recommendation NIPS 2022
Knowledge Distillation from A Stronger Teacher NIPS 2022
Deep Recurrent Neural Network with Multi-Scale Bi-directional Propagation for Video Deblurring AAAI 2022
Uncertainty-Aware Learning against Label Noise on Imbalanced Datasets AAAI 2022
BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis ACL 2022
DyRep: Bootstrapping Training With Dynamic Re-Parameterization CVPR 2022
MogFace: Towards a Deeper Appreciation on Face Detection CVPR 2022
GreedyNASv2: Greedier Search With a Greedy Path Filter CVPR 2022
Face2Exp: Combating Data Biases for Facial Expression Recognition CVPR 2022
A Keypoint-Based Global Association Network for Lane Detection CVPR 2022
Learning Where To Learn in Cross-View Self-Supervised Learning CVPR 2022
HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors ECCV 2022
ScaleNet: Searching for the Model to Scale ECCV 2022
ViTAS: Vision Transformer Architecture Search ECCV 2022
Salience Allocation as Guidance for Abstractive Summarization EMNLP 2022
Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing EMNLP 2022
Zero-Shot Cross-Lingual Sequence Tagging as Seq2Seq Generation for Joint Intent Classification and Slot Filling EMNLP 2022
Relational Surrogate Loss Learning ICLR 2022
IDPT: Interconnected Dual Pyramid Transformer for Face Super-Resolution IJCAI 2022
Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning NAACL 2022
Fast Multi-view Discrete Clustering with Anchor Graphs AAAI 2021
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models JMLR 2021
Adversarial Example Detection Using Latent Neighborhood Graph ICCV 2021
Locally Free Weight Sharing for Network Width Search ICLR 2021
ReSSL: Relational Self-Supervised Learning with Weak Augmentation NIPS 2021
BCNet: Searching for Network Width With Bilaterally Coupled Network CVPR 2021
Prioritized Architecture Sampling With Monto-Carlo Tree Search CVPR 2021
Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation CVPR 2021
Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search CVPR 2021
Learning To Restore Hazy Video: A New Real-World Dataset and a New Method CVPR 2021
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets ICML 2021
Reformulating HOI Detection As Adaptive Set Prediction CVPR 2021
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning NIPS 2021
Weakly Supervised Contrastive Learning ICCV 2021
Robust Speaker Extraction Network Based on Iterative Refined Adaptation INTERSPEECH 2021
Learning With Privileged Tasks ICCV 2021
Table-based Fact Verification With Salience-aware Learning EMNLP 2021
CorefQA: Coreference Resolution as Query-based Span Prediction ACL 2020
PPDM: Parallel Point Detection and Matching for Real-Time Human-Object Interaction Detection CVPR 2020
CentripetalNet: Pursuing High-Quality Keypoint Pairs for Object Detection CVPR 2020
Local Correlation Consistency for Knowledge Distillation ECCV 2020
GreedyNAS: Towards Fast One-Shot NAS With Greedy Supernet CVPR 2020
Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space NIPS 2020
A Real-Time Cross-Modality Correlation Filtering Method for Referring Expression Comprehension CVPR 2020
ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding NIPS 2020
Multi-Scale Boosted Dehazing Network With Dense Feature Fusion CVPR 2020
Neural Cognitive Diagnosis for Intelligent Education Systems AAAI 2020
Federated Patient Hashing AAAI 2020
A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation AAAI 2020
Structure-Based Drug-Drug Interaction Detection via Expressive Graph Convolutional Networks and Deep Sets (Student Abstract) AAAI 2020
Deep Comprehensive Correlation Mining for Image Clustering ICCV 2019
On Boosting Single-Frame 3D Human Pose Estimation via Monocular Videos ICCV 2019
Glyce: Glyph-vectors for Chinese Character Representations NIPS 2019
Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios AAAI 2019
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition AAAI 2019
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization AAAI 2019
Person-in-WiFi: Fine-Grained Person Perception Using WiFi ICCV 2019
Discriminative Feature Learning With Consistent Attention Regularization for Person Re-Identification ICCV 2019
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders IJCAI 2018
The Devil of Face Recognition is in the Noise ECCV 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
Boosted Sparse and Low-Rank Tensor Regression NIPS 2018
Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction IJCAI 2018
Backpropagation with Callbacks: Foundations for Efficient and Expressive Differentiable Programming NIPS 2018
Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study IJCAI 2017
Residual Attention Network for Image Classification CVPR 2017
Listening to the Crowd: Automated Analysis of Events via Aggregated Twitter Sentiment IJCAI 2013
Active Learning from Relative Queries IJCAI 2013
Exploiting Discourse Relations for Sentiment Analysis COLING 2012