← Authors

Fan Zhou

97 papers · 2017–2026 · 14 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (13) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (8) πŸ—ΊοΈ Taxonomy Completionist (18) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏠 Conference Loyalist (37) 🀝 Dynamic Duo (28) πŸ† Grand Slam πŸ‘₯ Mega-Team (28) πŸ”¬ Deep Specialist (19) πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (407) ⚑ Prolific Year (22) πŸ’Ž Century Club (91) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (9)

Conferences

AAAI (42) NIPS (13) IJCAI (10) ICML (7) ACL (5) ICLR (5) AISTATS (3) EMNLP (3) JMLR (3) ICCV (2) ALT (1) COLING (1) EACL (1) ECCV (1)

Top co-authors

Ting Zhong (30) Goce Trajcevski (17) Kunpeng Zhang (14) Qiang Gao (11) Xovee Xu (11) Zhangtao Cheng (8) Wenxin Tai (8) Liu Yu (6) Ping Kuang (5) Zhiyuan Wang (5)

Keywords

graph neural network (14) domain adaptation (7) multimodal learning (6) large language model (5) semi-supervised learning (5) contrastive learning (5) uncertainty quantification (4) causal inference (4) pretrained language model (4) generative model (4) diffusion model (4) distributional reinforcement learning (4) time series forecasting (4) variational autoencoder (4) knowledge transfer (3) representation learning (3) disentangled representation (3) self-supervised learning (3) data augmentation (3) deep neural network (3)

Papers

Modality-Balanced Collaborative Distillation for Multi-Modal Domain Generalization AAAI 2026
Causally-Grounded Dual-Path Attention Intervention for Object Hallucination Mitigation in LVLMs AAAI 2026
Shedding the Facades, Connecting the Domains: Detecting Shifting Multimodal Hate Video with Test-Time Adaptation AAAI 2026
Beyond Graph Priors: A Co-Evolving Framework Under Uncertainty for Enterprise Resilience Assessment AAAI 2026
Learning to Curate Context: Jointly Optimizing Retrieval and Prediction for Multimodal Social Media Popularity AAAI 2026
Breach in the Shield: Unveiling the Vulnerabilities of Large Language Models EACL 2026
Enhancing Prediction Performance through Influence Measure ICLR 2025
Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale ICML 2025
Free-MoRef: Instantly Multiplexing Context Perception Capabilities of Video-MLLMs within Single Inference ICCV 2025
You Only Query Twice: Multimodal Rumor Detection via Evidential Evaluation from Dual Perspectives COLING 2025
Structure-aware Domain Knowledge Injection for Large Language Models ACL 2025
Diving into Self-Evolving Training for Multimodal Reasoning ICML 2025
Redundancy Undermines the Trustworthiness of Self-Interpretable GNNs ICML 2025
Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning AAAI 2025
In-context Prompt-augmented Micro-video Popularity Prediction AAAI 2025
Improving Multimodal Social Media Popularity Prediction via Selective Retrieval Knowledge Augmentation AAAI 2025
Borrowing Eyes for the Blind Spot: Overcoming Data Scarcity in Malicious Video Detection via Cross-Domain Retrieval Augmentation ICCV 2025
Natural Evolution-based Dual-Level Aggregation for Temporal Knowledge Graph Reasoning EMNLP 2024
EasyTPP: Towards Open Benchmarking Temporal Point Processes ICLR 2024
Lemur: Harmonizing Natural Language and Code for Language Agents ICLR 2024
Continuous Invariance Learning ICLR 2024
Enhancing LLM’s Cognition via Structurization NIPS 2024
OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI NIPS 2024
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting AAAI 2024
Generalizing across Temporal Domains with Koopman Operators AAAI 2024
Interpreting Temporal Knowledge Graph Reasoning (Student Abstract) AAAI 2024
Spatial-Temporal Augmentation for Crime Prediction (Student Abstract) AAAI 2024
Disentanglement-Guided Spatial-Temporal Graph Neural Network for Metro Flow Forecasting (Student Abstract) AAAI 2024
Shallow Diffusion for Fast Speech Enhancement (Student Abstract) AAAI 2024
Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract) AAAI 2024
Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract) AAAI 2024
Amplifying Diversity and Quality in Commonsense Knowledge Graph Completion (Student Abstract) AAAI 2024
Biases Mitigation and Expressiveness Preservation in Language Models: A Comprehensive Pipeline (Student Abstract) AAAI 2024
Dissecting Human and LLM Preferences ACL 2024
Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator IJCAI 2024
Revitalizing Real Image Deraining via a Generic Paradigm towards Multiple Rainy Patterns IJCAI 2024
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning NIPS 2024
MarvelOVD: Marrying Object Recognition and Vision-Language Models for Robust Open-Vocabulary Object Detection ECCV 2024
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution NIPS 2024
Over-parameterized Deep Nonparametric Regression for Dependent Data with Its Applications to Reinforcement Learning JMLR 2023
Gap Minimization for Knowledge Sharing and Transfer JMLR 2023
Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning ACL 2023
Universal Bias Reduction in Estimation of Smooth Additive Function in High Dimensions ALT 2023
Adversarial Learning of Distributional Reinforcement Learning ICML 2023
Variance Control for Distributional Reinforcement Learning ICML 2023
Somali Information Retrieval Corpus: Bridging the Gap between Query Translation and Dedicated Language Resources EMNLP 2023
Open Anomalous Trajectory Recognition via Probabilistic Metric Learning IJCAI 2023
Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making NIPS 2023
Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork NIPS 2023
DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement NIPS 2023
De-biased Teacher: Rethinking IoU Matching for Semi-supervised Object Detection AAAI 2023
Overcoming Forgetting in Fine-Grained Urban Flow Inference via Adaptive Knowledge Replay AAAI 2023
Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment AAAI 2023
SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies AAAI 2023
Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement AAAI 2023
CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract) AAAI 2023
Exploring Hypergraph of Earnings Call for Risk Prediction (Student Abstract) AAAI 2023
Mobility Prediction via Sequential Trajectory Disentanglement (Student Abstract) AAAI 2023
Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract) AAAI 2023
A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract) AAAI 2023
Learning Dynamic Temporal Relations with Continuous Graph for Multivariate Time Series Forecasting (Student Abstract) AAAI 2023
DyCVAE: Learning Dynamic Causal Factors for Non-stationary Series Domain Generalization (Student Abstract) AAAI 2023
Directional diffusion models for graph representation learning NIPS 2023
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning NIPS 2023
Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks IJCAI 2022
Learning Latent Seasonal-Trend Representations for Time Series Forecasting NIPS 2022
Dynamic Manifold Learning for Land Deformation Forecasting AAAI 2022
PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model AAAI 2022
Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract) AAAI 2022
A Probabilistic Framework for Land Deformation Prediction (Student Abstract) AAAI 2022
Conditional Collaborative Filtering Process for Top-K Recommender System (Student Abstract) AAAI 2022
Large-Scale IP Usage Identification via Deep Ensemble Learning (Student Abstract) AAAI 2022
Fine-Grained Urban Flow Inference via Normalizing Flow (Student Abstract) AAAI 2022
Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract) AAAI 2022
Exploring Image Regions Not Well Encoded by an INN AISTATS 2022
TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data EMNLP 2022
Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding ICML 2022
Double-Check Soft Teacher for Semi-Supervised Object Detection IJCAI 2022
Principal Subspace Estimation Under Information Diffusion AISTATS 2021
Multi-task Learning by Leveraging the Semantic Information AAAI 2021
Forecasting Reservoir Inflow via Recurrent Neural ODEs AAAI 2021
Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning IJCAI 2021
Rate-Optimal Subspace Estimation on Random Graphs NIPS 2021
Land Deformation Prediction via Slope-Aware Graph Neural Networks AAAI 2021
Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay AAAI 2021
Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations ICML 2021
Deep Active Learning: Unified and Principled Method for Query and Training AISTATS 2020
Enhancing Urban Flow Maps via Neural ODEs IJCAI 2020
Non-Crossing Quantile Regression for Distributional Reinforcement Learning NIPS 2020
Relational State-Space Model for Stochastic Multi-Object Systems ICLR 2020
Interpreting Twitter User Geolocation ACL 2020
Interpretable Operational Risk Classification with Semi-Supervised Variational Autoencoder ACL 2020
The Sup-norm Perturbation of HOSVD and Low Rank Tensor Denoising JMLR 2019
Graph-Based Semi-Supervised Learning with Non-ignorable Non-response NIPS 2019
On the Convergence Properties of a K-step Averaging Stochastic Gradient Descent Algorithm for Nonconvex Optimization IJCAI 2018
Trajectory-User Linking via Variational AutoEncoder IJCAI 2018
Identifying Human Mobility via Trajectory Embeddings IJCAI 2017