← Authors

Wei Fan

62 papers · 2009–2026 · 11 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (11) 🐝 Cross-Pollinator (11) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (16) πŸ—ΊοΈ Taxonomy Completionist (14) 🌈 Renaissance Researcher (12) 🀝 Dynamic Duo (10) πŸ‘‘ Triple Crown πŸ† Keyword Champion πŸ† Grand Slam πŸ’Ž Century Club (60) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (8) πŸš€ Conference Pioneer ⚑ Prolific Year (11) πŸ—ƒοΈ Keyword Collector (301)

Conferences

AAAI (16) IJCAI (10) EMNLP (7) NIPS (7) ICML (6) ACL (4) COLING (3) ICLR (3) WACV (3) CVPR (2) NAACL (1)

Top co-authors

Kun Yi (10) Xian Wu (10) Qi Zhang (9) Yangqiu Song (8) Shen Ge (7) Yaliang Li (7) Nan Du (7) Haoran Li (6) Pengyang Wang (6) Liang Hu (4)

Research topics

Privacy (2)

Keywords

neural network (6) large language model (5) attention mechanism (5) time series forecasting (5) multimodal learning (4) medical imaging (4) frequency domain (4) distribution shift (3) knowledge distillation (3) domain adaptation (3) transfer learning (3) representation learning (3) image captioning (2) zero-shot learning (2) text summarization (2) question answering (2) contrastive learning (2) question generation (2) data augmentation (2) multi-task learning (2)

Papers

MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion AAAI 2026
iMAD: Intelligent Multi-Agent Debate for Efficient and Accurate LLM Inference AAAI 2026
Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining AAAI 2025
Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory NAACL 2025
RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming IJCAI 2025
Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion IJCAI 2025
Actor-Critics Can Achieve Optimal Sample Efficiency ICML 2025
De-AntiFake: Rethinking the Protective Perturbations Against Voice Cloning Attacks ICML 2025
DRL: Decomposed Representation Learning for Tabular Anomaly Detection ICLR 2025
Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding AAAI 2025
On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions EMNLP 2025
Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting AAAI 2025
AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation ACL 2024
FilterNet: Harnessing Frequency Filters for Time Series Forecasting NIPS 2024
Hybrid Reinforcement Learning Breaks Sample Size Barriers In Linear MDPs NIPS 2024
PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models ACL 2024
GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory EMNLP 2024
Text-Tuple-Table: Towards Information Integration in Text-to-Table Generation via Global Tuple Extraction EMNLP 2024
NegotiationToM: A Benchmark for Stress-testing Machine Theory of Mind on Negotiation Surrounding EMNLP 2024
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration ICLR 2024
MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization ICML 2024
Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows IJCAI 2024
Decoupled Invariant Attention Network for Multivariate Time-series Forecasting IJCAI 2024
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting IJCAI 2024
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization IJCAI 2024
HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis IJCAI 2024
Background-Mixed Augmentation for Weakly Supervised Change Detection AAAI 2023
Multi-step Jailbreaking Privacy Attacks on ChatGPT EMNLP 2023
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting AAAI 2023
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective NIPS 2023
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting NIPS 2023
Feature and Instance Joint Selection: A Reinforcement Learning Perspective IJCAI 2022
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting ICLR 2022
MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution WACV 2022
TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction EMNLP 2022
U-BERT: Pre-training User Representations for Improved Recommendation AAAI 2021
Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation CVPR 2021
Multiplex Graph Neural Network for Extractive Text Summarization EMNLP 2021
Audio-Oriented Multimodal Machine Comprehension via Dynamic Inter- and Intra-modality Attention AAAI 2021
Federated Learning for Vision-and-Language Grounding Problems AAAI 2020
DGGAN: Depth-image Guided Generative Adversarial Networks for Disentangling RGB and Depth Images in 3D Hand Pose Estimation WACV 2020
Automatic Distractor Generation for Multiple Choice Questions in Standard Tests COLING 2020
Prophet Attention: Predicting Attention with Future Attention NIPS 2020
Shape-Aware Organ Segmentation by Predicting Signed Distance Maps AAAI 2020
Object-Guided Instance Segmentation for Biological Images AAAI 2020
Self-Supervised, Semi-Supervised, Multi-Context Learning for the Combined Classification and Segmentation of Medical Images (Student Abstract) AAAI 2020
On the Generation of Medical Question-Answer Pairs AAAI 2020
PSENet: Psoriasis Severity Evaluation Network AAAI 2020
Entity Synonym Discovery via Multipiece Bilateral Context Matching IJCAI 2020
Nonparametric Structure Regularization Machine for 2D Hand Pose Estimation WACV 2020
Multi-grained Named Entity Recognition ACL 2019
MNN: Multimodal Attentional Neural Networks for Diagnosis Prediction IJCAI 2019
Joint Slot Filling and Intent Detection via Capsule Neural Networks ACL 2019
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering AAAI 2019
Cooperative Denoising for Distantly Supervised Relation Extraction COLING 2018
Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge COLING 2018
Rank-One Matrix Pursuit for Matrix Completion ICML 2014
Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion NIPS 2014
Hash-SVM: Scalable Kernel Machines for Large-Scale Visual Classification CVPR 2014
A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models ICML 2014
Joint Transfer and Batch-mode Active Learning ICML 2013
Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models NIPS 2009