Hao Wu
119 papers · 2013–2026 · 19 conferences · across top CS/AI conferences
Achievements
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Hot Topic Early Bird
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(19)
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(12)
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(21)
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Topic Pioneer
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(14)
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Keyword Champion
(2)
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Keyword Collector
(463)
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(17)
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Century Club
(108)
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(11)
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β
The Questioner
Conferences
AAAI (21)
NIPS (12)
ICML (11)
ACL (10)
EMNLP (9)
SEMEVAL (7)
IJCAI (7)
ICLR (7)
CVPR (7)
ICCV (5)
NAACL (4)
ECCV (3)
IJCNLP (3)
MICCAI (3)
NSDI (3)
COLING (2)
AISTATS (2)
ACML (2)
UAI (1)
Top co-authors
Research topics
Keywords
variational inference
(6)
text classification
(6)
large language model
(6)
semi-supervised learning
(5)
convolutional neural network
(4)
reinforcement learning
(4)
sentiment analysis
(4)
few-shot learning
(4)
multimodal learning
(4)
question answering
(4)
contrastive learning
(4)
attention mechanism
(4)
deep learning
(4)
reading comprehension
(4)
importance sampling
(3)
generative model
(3)
unsupervised learning
(3)
multi-agent reinforcement learning
(3)
natural language inference
(3)
model compression
(3)
Papers
State Proficiency-Based Adaptive Fine-Tuning for Offline-to-Online Reinforcement Learning
AAAI 2026
Benchmarking LLMsβ Mathematical Reasoning with Unseen Random Variables Questions
AAAI 2026
Think How Your Teammates Think: Active Inference Can Benefit Decentralized Execution
AAAI 2026
Calibrating Inference Time Alignment with Sequence-level Risk Accumulation
ACL 2026
Diverse Human Driving Vehicle Simulation in Background Traffic for Autonomous Driving Tests
AAAI 2026
SΒ³-MSD: Large Vision-Language Model for Explainable and Generalizable Multi-modal Sarcasm Detection
AAAI 2026
FLAIR: Steering LLM Mathematical Problem Solving based on A Fuzzy-Logic-AssIsted Reasoner
ACL 2026
When Efficiency Meets Safety: A Benchmark Security Analysis of KV Cache Compression in Large Language Models
ACL 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
Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics
ICLR 2025
Unlocking Smarter Device Control: Foresighted Planning with a World Model-Driven Code Execution Approach
EMNLP 2025
MoSEs: Uncertainty-Aware AI-Generated Text Detection via Mixture of Stylistics Experts with Conditional Thresholds
EMNLP 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
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
From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination
IJCAI 2025
Pixel2Feature Attack (P2FA): Rethinking the Perturbed Space to Enhance Adversarial Transferability
ICML 2025
OneForecast: A Universal Framework for Global and Regional Weather Forecasting
ICML 2025
Improved Approximations for Hard Graph Problems using Predictions
ICML 2025
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models
ICCV 2025
Learning Graph Quantized Tokenizers
ICLR 2025
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
Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling
NIPS 2024
Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model
NIPS 2024
PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling
NIPS 2024
Faster Differentially Private Top-$k$ Selection: A Joint Exponential Mechanism with Pruning
NIPS 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
PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology
ECCV 2024
CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks
ECCV 2024
Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE
ICML 2024
Profile Reconstruction from Private Sketches
ICML 2024
Reasoning about Network Traffic Load Property at Production Scale
NSDI 2024
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm
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
NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling
ICLR 2024
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections
ICLR 2024
Tight Data Access Bounds for Private Top-$k$ Selection
ICML 2023
IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval
NIPS 2023
A Simple Framework for Text-Supervised Semantic Segmentation
CVPR 2023
Do We Really Need Complicated Model Architectures For Temporal Networks?
ICLR 2023
A Closer Look at Few-shot Classification Again
ICML 2023
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
ICML 2023
LinkLab 2.0: A Multi-tenant Programmable IoT Testbed for Experimentation with Edge-Cloud Integration
NSDI 2023
Asymptotically Optimal Locally Private Heavy Hitters via Parameterized Sketches
AISTATS 2022
Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction
COLING 2022
LiGCN: Label-interpretable Graph Convolutional Networks for Multi-label Text Classification
NAACL 2022
CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training
NAACL 2022
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
Compilable Neural Code Generation with Compiler Feedback
ACL 2022
Cross-Space Active Learning on Graph Convolutional Networks
ICML 2022
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
NIPS 2021
Learning the Best Pooling Strategy for Visual Semantic Embedding
CVPR 2021
Conjugate Energy-Based Models
ICML 2021
Hybrid Estimation for Open-Ended Questions with Early-Age Studentsβ Block-Based Programming Answers
ACML 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
ACL 2021
Fusing Label Embedding into BERT: An Efficient Improvement for Text Classification
IJCNLP 2021
XRJL-HKUST at SemEval-2021 Task 4: WordNet-Enhanced Dual Multi-head Co-Attention for Reading Comprehension of Abstract Meaning
IJCNLP 2021
Fusing Label Embedding into BERT: An Efficient Improvement for Text Classification
ACL 2021
Cold Start Problem For Automated Live Video Comments
NAACL 2021
XRJL-HKUST at SemEval-2021 Task 4: WordNet-Enhanced Dual Multi-head Co-Attention for Reading Comprehension of Abstract Meaning
SEMEVAL 2021
Learning proposals for probabilistic programs with inference combinators
UAI 2021
Training Spiking Neural Networks with Accumulated Spiking Flow
AAAI 2021
Nested Variational Inference
NIPS 2021
Structured Multi-Hashing for Model Compression
CVPR 2020
Amortized Population Gibbs Samplers with Neural Sufficient Statistics
ICML 2020
A Deep Neural Network Model of Particle Thermal Radiation in Packed Bed
AAAI 2020
A Relaxed Matching Procedure for Unsupervised BLI
ACL 2020
Stochastic Normalizing Flows
NIPS 2020
Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ
EMNLP 2020
A Variational Approach for Learning from Positive and Unlabeled Data
NIPS 2020
TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions
EMNLP 2020
Robust Document Distance with Wasserstein-Fisher-Rao metric
ACML 2020
Semi-Supervised Bilingual Lexicon Induction with Two-way Interaction
EMNLP 2020
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning
AAAI 2020
Warren at SemEval-2020 Task 4: ALBERT and Multi-Task Learning for Commonsense Validation
SEMEVAL 2020
Warren at SemEval-2020 Task 4: ALBERT and Multi-Task Learning for Commonsense Validation
COLING 2020
DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction Using Aerial Images and Trajectories
AAAI 2020
Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations
CVPR 2019
Safeguarded Dynamic Label Regression for Noisy Supervision
AAAI 2019
Detecting 11K Classes: Large Scale Object Detection Without Fine-Grained Bounding Boxes
ICCV 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
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
Zewen at SemEval-2018 Task 1: An Ensemble Model for Affect Prediction in Tweets
SEMEVAL 2018
CAGAN: Consistent Adversarial Training Enhanced GANs
IJCAI 2018
DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision
IJCAI 2018
Joint Reasoning for Temporal and Causal Relations
ACL 2018
Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource
NAACL 2018
Deep Generative Markov State Models
NIPS 2018
A Multi-Axis Annotation Scheme for Event Temporal Relations
ACL 2018
NLPZZX at SemEval-2018 Task 1: Using Ensemble Method for Emotion and Sentiment Intensity Determination
SEMEVAL 2018
Mixed Precision Training
ICLR 2018
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks
CVPR 2018
NLP at IEST 2018: BiLSTM-Attention and LSTM-Attention via Soft Voting in Emotion Classification
EMNLP 2018
Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study
EMNLP 2018
BIT at SemEval-2017 Task 1: Using Semantic Information Space to Evaluate Semantic Textual Similarity
SEMEVAL 2017
Deep Context: A Neural Language Model for Large-scale Networked Documents
IJCAI 2017
Modeling Trajectories with Recurrent Neural Networks
IJCAI 2017
BIT at SemEval-2016 Task 1: Sentence Similarity Based on Alignments and Vector with the Weight of Information Content
SEMEVAL 2016
Building an Evaluation Scale using Item Response Theory
EMNLP 2016
Spectral Learning of Dynamic Systems from Nonequilibrium Data
NIPS 2016
Saul: Towards Declarative Learning Based Programming
IJCAI 2015
Wire Speed Name Lookup: A GPU-based Approach
NSDI 2013