← Authors

Fan Wu

50 papers · 2014–2026 · 13 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (8) 🌈 Renaissance Researcher (9) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (13) πŸƒ Academic Marathon (11) πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer πŸ”¬ Deep Specialist (10) πŸ† Grand Slam πŸ† Keyword Champion (2) πŸ‘₯ Mega-Team (29) πŸ—ƒοΈ Keyword Collector (235) ⚑ Prolific Year (8) πŸš€ Conference Pioneer πŸ’Ž Century Club (48) πŸ”₯ Unstoppable (8) πŸ“ˆ Trend Setter ❓ The Questioner (2)

Conferences

AAAI (15) NIPS (7) IJCAI (6) CVPR (4) ICLR (4) ACL (3) ICML (3) ECCV (2) EMNLP (2) AISTATS (1) ICCV (1) JMLR (1) OSDI (1)

Top co-authors

Guihai Chen (9) Zhenzhe Zheng (9) Rui Zhang (6) Chaoyue Niu (5) Fei Wu (5) Shengyu Zhang (5) Shaojie Tang (4) Bo Li (4) Jiaming Guo (4) Ruizhi Chen (4)

Keywords

mechanism design (5) graph neural network (4) attention mechanism (3) model compression (3) federated learning (3) transfer learning (3) multimodal large language model (2) mirror descent (2) device-cloud collaboration (2) multi-task learning (2) unsupervised learning (2) gradient descent (2) reinforcement learning (2) probabilistic graphical model (2) empirical risk minimization (2) benchmark evaluation (2) policy optimization (2) online advertising (2) neural network optimization (2) mutual information (2)

Papers

TTF: A Trapezoidal Temporal Fusion Framework for LTV Forecasting in Douyin AAAI 2026
EcoAgent: An Efficient Device-Cloud Collaborative Multi-Agent Framework for Mobile Automation AAAI 2026
OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations CVPR 2025
Image Over Text: Transforming Formula Recognition Evaluation with Character Detection Matching 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
Empirical Privacy Variance ICML 2025
It’s My Data Too: Private ML for Datasets with Multi-User Training Examples ICML 2025
Generative Monoculture in Large Language Models ICLR 2025
MadaKV: Adaptive Modality-Perception KV Cache Eviction for Efficient Multimodal Long-Context Inference ACL 2025
Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model ICCV 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
AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference AAAI 2025
OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use ACL 2025
Pre3: Enabling Deterministic Pushdown Automata for Faster Structured LLM Generation ACL 2025
BiKT: Enabling Bidirectional Knowledge Transfer Between Pretrained Models and Sequential Downstream Tasks EMNLP 2024
Bi-SSC: Geometric-Semantic Bidirectional Fusion for Camera-based 3D Semantic Scene Completion CVPR 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
Privately Aligning Language Models with Reinforcement Learning ICLR 2024
Truthful Auctions for Automated Bidding in Online Advertising IJCAI 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 Packages’ 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
Factor Graph Neural Networks JMLR 2023
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks ICLR 2022
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing 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
Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification? CVPR 2021
Heterogeneous Graph Information Bottleneck IJCAI 2021
Hadamard Wirtinger Flow for Sparse Phase Retrieval AISTATS 2021
Toward Understanding the Influence of Individual Clients in Federated Learning AAAI 2021
Implicit Regularization in Matrix Sensing via Mirror Descent NIPS 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
DeepETA: A Spatial-Temporal Sequential Neural Network Model for Estimating Time of Arrival in Package Delivery System AAAI 2019
Masked Graph Convolutional Network IJCAI 2019
Unsupervised Fake News Detection on Social Media: A Generative Approach 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