Fan Wu
53 papers · 2014–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (13) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π Academic Marathon (11)
π
Academic Marathon
(11)
πΊοΈ
Taxonomy Completionist
(11)
π§
Keyword Pioneer
π¬
Deep Specialist
(10)
π
Grand Slam
π
Keyword Champion
(2)
π₯
Mega-Team
(29)
ποΈ
Keyword Collector
(235)
β‘
Prolific Year
(8)
π
Conference Pioneer
π
Century Club
(48)
π₯
Unstoppable
(8)
π
Trend Setter
β
The Questioner
(2)
Conferences
AAAI (15)
NIPS (7)
ACL (6)
IJCAI (6)
CVPR (4)
ICLR (4)
ICML (3)
ECCV (2)
EMNLP (2)
AISTATS (1)
ICCV (1)
JMLR (1)
OSDI (1)
Top co-authors
Keywords
mechanism design
(5)
graph neural network
(4)
transfer learning
(3)
large language model
(3)
attention mechanism
(3)
model compression
(3)
federated learning
(3)
probabilistic graphical model
(2)
gradient descent
(2)
vision-language model
(2)
multi-task learning
(2)
mutual information
(2)
reinforcement learning
(2)
mirror descent
(2)
unsupervised learning
(2)
neural network optimization
(2)
benchmark evaluation
(2)
policy optimization
(2)
online advertising
(2)
document parsing
(2)
Papers
TTF: A Trapezoidal Temporal Fusion Framework for LTV Forecasting in Douyin
AAAI 2026
MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
ACL 2026
FinReporting: An Agentic Workflow for Localized Reporting of Cross-Jurisdiction Financial Disclosure
ACL 2026
EcoAgent: An Efficient Device-Cloud Collaborative Multi-Agent Framework for Mobile Automation
AAAI 2026
LaCo: Layer-wise Compensation for Pruned Large Language Models
ACL 2026
OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations
CVPR 2025
Optimizing the Battery-Swapping Problem in Urban E-Bike Systems with Reinforcement Learning
IJCAI 2025
Device-Cloud Collaborative Correction for On-Device Recommendation
IJCAI 2025
Image Over Text: Transforming Formula Recognition Evaluation with Character Detection Matching
CVPR 2025
Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model
ICCV 2025
Generative Monoculture in Large Language Models
ICLR 2025
MergeNet: Knowledge Migration Across Heterogeneous Models, Tasks, and Modalities
AAAI 2025
Learning Optimal Auctions with Correlated Value Distributions
AAAI 2025
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning?
AAAI 2025
OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use
ACL 2025
AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference
AAAI 2025
Pre3: Enabling Deterministic Pushdown Automata for Faster Structured LLM Generation
ACL 2025
MadaKV: Adaptive Modality-Perception KV Cache Eviction for Efficient Multimodal Long-Context Inference
ACL 2025
Empirical Privacy Variance
ICML 2025
Itβs My Data Too: Private ML for Datasets with Multi-User Training Examples
ICML 2025
Bi-SSC: Geometric-Semantic Bidirectional Fusion for Camera-based 3D Semantic Scene Completion
CVPR 2024
Privately Aligning Language Models with Reinforcement Learning
ICLR 2024
BiKT: Enabling Bidirectional Knowledge Transfer Between Pretrained Models and Sequential Downstream Tasks
EMNLP 2024
VIGC: Visual Instruction Generation and Correction
AAAI 2024
G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection
AAAI 2024
OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning
AAAI 2024
Factor Graph Neural Networks
JMLR 2023
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning
NIPS 2023
Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning
NIPS 2023
Context Shift Reduction for Offline Meta-Reinforcement Learning
NIPS 2023
GMDNet: A Graph-Based Mixture Density Network for Estimating Packagesβ Multimodal Travel Time Distribution
AAAI 2023
Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising
AAAI 2023
Understanding the Impact of Adversarial Robustness on Accuracy Disparity
ICML 2023
Truthful Auctions for Automated Bidding in Online Advertising
IJCAI 2023
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks
ICLR 2022
SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination
ECCV 2022
Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning
OSDI 2022
Federated Submodel Optimization for Hot and Cold Data Features
NIPS 2022
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing
ICLR 2022
Hadamard Wirtinger Flow for Sparse Phase Retrieval
AISTATS 2021
Heterogeneous Graph Information Bottleneck
IJCAI 2021
Toward Understanding the Influence of Individual Clients in Federated Learning
AAAI 2021
Implicit Regularization in Matrix Sensing via Mirror Descent
NIPS 2021
Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification?
CVPR 2021
A Continuous-Time Mirror Descent Approach to Sparse Phase Retrieval
NIPS 2020
Mechanism Design with Predicted Task Revenue for Bike Sharing Systems
AAAI 2020
Factor Graph Neural Networks
NIPS 2020
Unsupervised Fake News Detection on Social Media: A Generative Approach
AAAI 2019
Masked Graph Convolutional Network
IJCAI 2019
DeepETA: A Spatial-Temporal Sequential Neural Network Model for Estimating Time of Arrival in Package Delivery System
AAAI 2019
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network
ECCV 2018
Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations
IJCAI 2018
Domain Adaptation for CRF-based Chinese Word Segmentation using Free Annotations
EMNLP 2014