← Authors

Hao Wu

116 papers · 2013–2026 · 19 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (5) 🐝 Cross-Pollinator (8) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (19) πŸƒ Academic Marathon (12) 🏠 Conference Loyalist (21) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (14) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (463) ⚑ Prolific Year (17) πŸš€ Conference Pioneer πŸ’Ž Century Club (108) πŸ”₯ Unstoppable (11) πŸ“ˆ Trend Setter ❓ The Questioner

Conferences

AAAI (21) NIPS (12) ICML (11) EMNLP (9) SEMEVAL (7) IJCAI (7) ICLR (7) CVPR (7) ACL (7) ICCV (5) NAACL (4) ECCV (3) IJCNLP (3) MICCAI (3) NSDI (3) COLING (2) AISTATS (2) ACML (2) UAI (1)

Top co-authors

Kun Wang (7) Qiang Ning (6) Fan Xu (5) Dan Roth (5) John P. Lalor (4) Hong Yu (4) Manabu Okumura (4) Weiwei Sun (4) Jan-Willem van de Meent (4) Yuxuan Liang (3)

Research topics

Differential Privacy (2) Reinforcement Learning (1) Privacy (1) Core AI (1)

Keywords

variational inference (6) text classification (6) semi-supervised learning (5) attention mechanism (4) sentiment analysis (4) deep learning (4) few-shot learning (4) contrastive learning (4) multimodal learning (4) question answering (4) reading comprehension (4) convolutional neural network (4) large language model (4) importance sampling (3) generative model (3) unsupervised learning (3) multi-agent reinforcement learning (3) natural language inference (3) reinforcement learning (3) model compression (3)

Papers

Benchmarking LLMs’ Mathematical Reasoning with Unseen Random Variables Questions AAAI 2026
SΒ³-MSD: Large Vision-Language Model for Explainable and Generalizable Multi-modal Sarcasm Detection AAAI 2026
DeepSenseMoE: Harnessing Power of Time Series Foundation Models for Few-Shot Human Activity Recognition AAAI 2026
RacketVision: A Multiple Racket Sports Benchmark for Unified Ball and Racket Analysis AAAI 2026
NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation AAAI 2026
Think How Your Teammates Think: Active Inference Can Benefit Decentralized Execution AAAI 2026
State Proficiency-Based Adaptive Fine-Tuning for Offline-to-Online Reinforcement Learning AAAI 2026
Diverse Human Driving Vehicle Simulation in Background Traffic for Autonomous Driving Tests AAAI 2026
Learning-Augmented Frequent Directions ICLR 2025
MagicCity: Geometry-Aware 3D City Generation from Satellite Imagery with Multi-View Consistency ICCV 2025
StreamMind: Unlocking Full Frame Rate Streaming Video Dialogue through Event-Gated Cognition ICCV 2025
Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting ICCV 2025
Improved Approximations for Hard Graph Problems using Predictions ICML 2025
OneForecast: A Universal Framework for Global and Regional Weather Forecasting ICML 2025
Pixel2Feature Attack (P2FA): Rethinking the Perturbed Space to Enhance Adversarial Transferability ICML 2025
PriFold: Biological Priors Improve RNA Secondary Structure Predictions AAAI 2025
FunEditor: Achieving Complex Image Edits via Function Aggregation with Diffusion Models AAAI 2025
CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and Timeliness AAAI 2025
VERO: Verification and Zero-Shot Feedback Acquisition for Few-Shot Multimodal Aspect-Level Sentiment Classification AAAI 2025
Unlocking Smarter Device Control: Foresighted Planning with a World Model-Driven Code Execution Approach EMNLP 2025
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models ICCV 2025
MoSEs: Uncertainty-Aware AI-Generated Text Detection via Mixture of Stylistics Experts with Conditional Thresholds EMNLP 2025
Semi-Supervised Multi-Modal Medical Image Segmentation for Complex Situations MICCAI 2025
Regression-assisted Classification for CT-based Portal Hypertension Diagnosis MICCAI 2025
Causality-driven Spatio-temporal Generator for Multi-phase Contrast-enhanced CT Synthesis MICCAI 2025
Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics ICLR 2025
Learning Graph Quantized Tokenizers ICLR 2025
From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination IJCAI 2025
Profile Reconstruction from Private Sketches ICML 2024
Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE ICML 2024
UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation AAAI 2024
Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum AAAI 2024
Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model AAAI 2024
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm NIPS 2024
Faster Differentially Private Top-$k$ Selection: A Joint Exponential Mechanism with Pruning NIPS 2024
DIBS: Enhancing Dense Video Captioning with Unlabeled Videos via Pseudo Boundary Enrichment and Online Refinement CVPR 2024
LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images CVPR 2024
CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks ECCV 2024
PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology ECCV 2024
Reasoning about Network Traffic Load Property at Production Scale NSDI 2024
PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling NIPS 2024
Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model NIPS 2024
Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling NIPS 2024
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections ICLR 2024
NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling ICLR 2024
Tight Data Access Bounds for Private Top-$k$ Selection ICML 2023
A Closer Look at Few-shot Classification Again ICML 2023
A Simple Framework for Text-Supervised Semantic Segmentation CVPR 2023
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models ICML 2023
Do We Really Need Complicated Model Architectures For Temporal Networks? ICLR 2023
IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval NIPS 2023
LinkLab 2.0: A Multi-tenant Programmable IoT Testbed for Experimentation with Edge-Cloud Integration NSDI 2023
Contrastive Vision-Language Pre-training with Limited Resources ECCV 2022
L-CoDe:Language-Based Colorization Using Color-Object Decoupled Conditions AAAI 2022
A Meta-framework for Spatiotemporal Quantity Extraction from Text ACL 2022
CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training NAACL 2022
LiGCN: Label-interpretable Graph Convolutional Networks for Multi-label Text Classification NAACL 2022
Asymptotically Optimal Locally Private Heavy Hitters via Parameterized Sketches AISTATS 2022
Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction COLING 2022
Compilable Neural Code Generation with Compiler Feedback ACL 2022
Cross-Space Active Learning on Graph Convolutional Networks ICML 2022
Fusing Label Embedding into BERT: An Efficient Improvement for Text Classification IJCNLP 2021
Boosting Offline Reinforcement Learning with Residual Generative Modeling IJCAI 2021
XRJL-HKUST at SemEval-2021 Task 4: WordNet-Enhanced Dual Multi-head Co-Attention for Reading Comprehension of Abstract Meaning IJCNLP 2021
Learning proposals for probabilistic programs with inference combinators UAI 2021
XRJL-HKUST at SemEval-2021 Task 4: WordNet-Enhanced Dual Multi-head Co-Attention for Reading Comprehension of Abstract Meaning SEMEVAL 2021
Cold Start Problem For Automated Live Video Comments NAACL 2021
Conjugate Energy-Based Models ICML 2021
XRJL-HKUST at SemEval-2021 Task 4: WordNet-Enhanced Dual Multi-head Co-Attention for Reading Comprehension of Abstract Meaning ACL 2021
Fusing Label Embedding into BERT: An Efficient Improvement for Text Classification ACL 2021
Nested Variational Inference NIPS 2021
Training Spiking Neural Networks with Accumulated Spiking Flow AAAI 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling NIPS 2021
Hybrid Estimation for Open-Ended Questions with Early-Age Students’ Block-Based Programming Answers ACML 2021
Learning the Best Pooling Strategy for Visual Semantic Embedding CVPR 2021
DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction Using Aerial Images and Trajectories AAAI 2020
Stochastic Normalizing Flows NIPS 2020
A Variational Approach for Learning from Positive and Unlabeled Data NIPS 2020
A Deep Neural Network Model of Particle Thermal Radiation in Packed Bed AAAI 2020
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning AAAI 2020
A Relaxed Matching Procedure for Unsupervised BLI ACL 2020
Robust Document Distance with Wasserstein-Fisher-Rao metric ACML 2020
Warren at SemEval-2020 Task 4: ALBERT and Multi-Task Learning for Commonsense Validation COLING 2020
Structured Multi-Hashing for Model Compression CVPR 2020
TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions EMNLP 2020
Semi-Supervised Bilingual Lexicon Induction with Two-way Interaction EMNLP 2020
Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ EMNLP 2020
Amortized Population Gibbs Samplers with Neural Sufficient Statistics ICML 2020
Warren at SemEval-2020 Task 4: ALBERT and Multi-Task Learning for Commonsense Validation SEMEVAL 2020
Detecting 11K Classes: Large Scale Object Detection Without Fine-Grained Bounding Boxes ICCV 2019
Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations CVPR 2019
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds EMNLP 2019
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds IJCNLP 2019
ZQM at SemEval-2019 Task9: A Single Layer CNN Based on Pre-trained Model for Suggestion Mining SEMEVAL 2019
Structured Disentangled Representations AISTATS 2019
Safeguarded Dynamic Label Regression for Noisy Supervision AAAI 2019
NLPZZX at SemEval-2018 Task 1: Using Ensemble Method for Emotion and Sentiment Intensity Determination SEMEVAL 2018
CAGAN: Consistent Adversarial Training Enhanced GANs IJCAI 2018
Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource NAACL 2018
Mixed Precision Training ICLR 2018
NLP at IEST 2018: BiLSTM-Attention and LSTM-Attention via Soft Voting in Emotion Classification EMNLP 2018
DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision IJCAI 2018
Zewen at SemEval-2018 Task 1: An Ensemble Model for Affect Prediction in Tweets SEMEVAL 2018
Deep Generative Markov State Models NIPS 2018
Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study EMNLP 2018
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks CVPR 2018
Joint Reasoning for Temporal and Causal Relations ACL 2018
A Multi-Axis Annotation Scheme for Event Temporal Relations ACL 2018
Deep Context: A Neural Language Model for Large-scale Networked Documents IJCAI 2017
BIT at SemEval-2017 Task 1: Using Semantic Information Space to Evaluate Semantic Textual Similarity SEMEVAL 2017
Modeling Trajectories with Recurrent Neural Networks IJCAI 2017
Building an Evaluation Scale using Item Response Theory EMNLP 2016
Spectral Learning of Dynamic Systems from Nonequilibrium Data NIPS 2016
BIT at SemEval-2016 Task 1: Sentence Similarity Based on Alignments and Vector with the Weight of Information Content SEMEVAL 2016
Saul: Towards Declarative Learning Based Programming IJCAI 2015
Wire Speed Name Lookup: A GPU-based Approach NSDI 2013