Shuang Wu
53 papers · 2008–2026 · 15 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (18) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (7) π Conference Polyglot (15)
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Interdisciplinary Bridge
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Academic Marathon
(17)
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(18)
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Grand Slam
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Triple Crown
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Dynamic Duo
(12)
π₯
Mega-Team
(69)
π§¬
Topic Evolution
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Keyword Champion
(2)
β‘
Prolific Year
(9)
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Conference Pioneer
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Keyword Collector
(221)
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Century Club
(52)
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Trend Setter
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Unstoppable
(8)
Conferences
CVPR (9)
NIPS (8)
IJCAI (6)
AAAI (5)
ICLR (5)
ICML (5)
ECCV (4)
ACL (3)
INTERSPEECH (2)
CORL (1)
ICCV (1)
IJCNLP (1)
MICCAI (1)
UAI (1)
WACV (1)
Top co-authors
Research topics
Keywords
federated learning
(5)
convolutional neural network
(3)
generative adversarial network
(3)
adversarial attack
(3)
adversarial example
(3)
mutual information
(3)
regret bound
(2)
motion perception
(2)
diffusion model
(2)
data-free learning
(2)
human pose estimation
(2)
adversarial robustness
(2)
psychophysical experiment
(2)
action recognition
(2)
adversarial training
(2)
uncertainty quantification
(2)
online learning
(2)
knowledge distillation
(2)
bayesian inference
(2)
information bottleneck
(2)
Papers
GenPT: Beyond Self-Report for Reliable LLM Psychometrics via Generative Projective Testing
ACL 2026
MARS: Unleashing the Power of Variance Reduction for Training Large Models
ICML 2025
High-quality Text-to-3D Character Generation with SparseCubes and Sparse Transformers.
ICLR 2025
A Cross-Modal Densely Guided Knowledge Distillation Based on Modality Rebalancing Strategy for Enhanced Unimodal Emotion Recognition
IJCAI 2025
Instruct Where the Model Fails: Generative Data Augmentation via Guided Self-contrastive Fine-tuning
AAAI 2025
DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation
MICCAI 2024
Re-thinking Data Availability Attacks Against Deep Neural Networks
CVPR 2024
Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection
AAAI 2024
UniVoxel: Fast Inverse Rendering by Unified Voxelization of Scene Representation
ECCV 2024
Dynamic Multimodal Information Bottleneck for Multimodality Classification
WACV 2024
Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer
NIPS 2024
Attack Can Benefit: An Adversarial Approach to Recognizing Facial Expressions under Noisy Annotations
AAAI 2023
Content-based Unrestricted Adversarial Attack
NIPS 2023
Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition
CVPR 2023
PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training
CORL 2023
Quality-Similar Diversity via Population Based Reinforcement Learning
ICLR 2023
Curriculum-based Co-design of Morphology and Control of Voxel-based Soft Robots
ICLR 2023
Online Map Vectorization for Autonomous Driving: A Rasterization Perspective
NIPS 2023
Delving into the Adversarial Robustness of Federated Learning
AAAI 2023
Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization
IJCAI 2023
Multi-faceted Distillation of Base-Novel Commonality for Few-Shot Object Detection
ECCV 2022
Self-Aware Personalized Federated Learning
NIPS 2022
DENSE: Data-Free One-Shot Federated Learning
NIPS 2022
ActPerFL: Active Personalized Federated Learning
ACL 2022
Detecting Camouflaged Object in Frequency Domain
CVPR 2022
Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation
CVPR 2022
Towards Efficient Data Free Black-Box Adversarial Attack
CVPR 2022
Towards Practical Certifiable Patch Defense With Vision Transformer
CVPR 2022
Shape Matters: Deformable Patch Attack
ECCV 2022
Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations
ECCV 2022
Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game
ICLR 2022
Greedy when Sure and Conservative when Uncertain about the Opponents
ICML 2022
Understanding Policy Gradient Algorithms: A Sensitivity-Based Approach
ICML 2022
Federated Learning with Label Distribution Skew via Logits Calibration
ICML 2022
Copy Motion From One to Another: Fake Motion Video Generation
IJCAI 2022
Understanding and Mitigating Data Contamination in Deep Anomaly Detection: A Kernel-based Approach
IJCAI 2022
Music-to-Dance Generation with Optimal Transport
IJCAI 2022
Residual bootstrap exploration for stochastic linear bandit
UAI 2022
MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition
ACL 2021
MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition
IJCNLP 2021
State-Aware Value Function Approximation with Attention Mechanism for Restless Multi-armed Bandits
IJCAI 2021
Aggregated Multi-GANs for Controlled 3D Human Motion Prediction
AAAI 2021
Deep Dual Consecutive Network for Human Pose Estimation
CVPR 2021
Motion Prediction Using Trajectory Cues
ICCV 2021
EEG-Based Short-Time Auditory Attention Detection Using Multi-Task Deep Learning
INTERSPEECH 2020
Neural Entrainment to Natural Speech Envelope Based on Subject Aligned EEG Signals
INTERSPEECH 2020
Towards Natural and Accurate Future Motion Prediction of Humans and Animals
CVPR 2019
Convolution with even-sized kernels and symmetric padding
NIPS 2019
Training and Inference with Integers in Deep Neural Networks
ICLR 2018
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin
ICML 2016
Zero-shot Event Detection using Multi-modal Fusion of Weakly Supervised Concepts
CVPR 2014
A unified model of short-range and long-range motion perception
NIPS 2010
Model selection and velocity estimation using novel priors for motion patterns
NIPS 2008