Chuan Guo
51 papers · 2016–2026 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (70) 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🏆
Grand Slam
🔬
Deep Specialist
(16)
👑
Triple Crown
🧬
Topic Evolution
🏆
Keyword Champion
(3)
🧭
Keyword Pioneer
🌈
Renaissance Researcher
(7)
🔥
Unstoppable · Silver
❓
The Questioner
(2)
⚡
Prolific Year · Prolific
🚀
Conference Pioneer
💎
Century Club · Silver
📈
Trend Setter
🗃️
Keyword Collector
(226)
Venues
Top co-authors
Research topics
Machine Learning
(35)
Deep Learning
(28)
Application Areas
(21)
Computer Vision
(19)
Artificial Intelligence
(17)
Learning Types · Machine Learning
(15)
Models
(15)
Analysis
(13)
Core AI
(12)
Learning Types · Deep Learning
(11)
Architectures
(9)
Core Methods
(8)
Generation
(8)
Optimization & Theory
(7)
Security & Privacy
(6)
Keywords
differential privacy
(8)
adversarial attack
(6)
diffusion model
(6)
federated learning
(4)
privacy attack
(4)
neural network
(4)
motion generation
(4)
black-box attack
(3)
adversarial robustness
(3)
large language model
(3)
adversarial image
(3)
text-to-motion generation
(3)
adversarial perturbation
(3)
representation learning
(3)
fisher information
(3)
human motion generation
(3)
generative model
(2)
data privacy
(2)
query complexity
(2)
motion capture
(2)
Papers
HandX: Scaling Bimanual Motion and Interaction Generation
CVPR 2026
LLaMo: Scaling Pretrained Language Models for Unified Motion Understanding and Generation with Continuous Autoregressive Tokens
CVPR 2026
Pressure2Motion: Hierarchical Human Motion Reconstruction from Ground Pressure with Text Guidance
CVPR 2026
AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs
ICML 2025
InterMask: 3D Human Interaction Generation via Collaborative Masked Modeling
ICLR 2025
MaskControl: Spatio-Temporal Control for Masked Motion Synthesis
ICCV 2025
MotionDreamer: One-to-Many Motion Synthesis with Localized Generative Masked Transformer
ICLR 2025
Ponimator: Unfolding Interactive Pose for Versatile Human-human Interaction Animation
ICCV 2025
SceneMI: Motion In-betweening for Modeling Human-Scene Interaction
ICCV 2025
Déjà Vu Memorization in Vision–Language Models
NeurIPS 2024
Differentially Private Representation Learning via Image Captioning
ICML 2024
Generative Human Motion Stylization in Latent Space
ICLR 2024
GSD: View-Guided Gaussian Splatting Diffusion for 3D Reconstruction
ECCV 2024
Measuring Dejavu Memorization Efficiently
NeurIPS 2024
MoMask: Generative Masked Modeling of 3D Human Motions
CVPR 2024
MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation
AAAI 2024
ViP: A Differentially Private Foundation Model for Computer Vision
ICML 2024
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano
ICML 2023
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information
NeurIPS 2023
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis
ICML 2023
Does Label Differential Privacy Prevent Label Inference Attacks?
AISTATS 2023
Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning
NeurIPS 2023
Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning
UAI 2023
Origins of Low-Dimensional Adversarial Perturbations
AISTATS 2023
Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design
ICML 2023
Private Prediction Strikes Back! Private Kernelized Nearest Neighbors with Individual Rényi Filter
UAI 2023
TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration
ICCV 2023
Bounding Training Data Reconstruction in Private (Deep) Learning
ICML 2022
Generating Diverse and Natural 3D Human Motions From Text
CVPR 2022
Measuring Data Leakage in Machine-Learning Models with Fisher Information (Extended Abstract)
IJCAI 2022
On the Importance of Difficulty Calibration in Membership Inference Attacks
ICLR 2022
Privacy-aware compression for federated data analysis
UAI 2022
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection
ICLR 2022
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts
ECCV 2022
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining
NeurIPS 2021
EventHPE: Event-Based 3D Human Pose and Shape Estimation
ICCV 2021
Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems
NeurIPS 2021
Gradient-based Adversarial Attacks against Text Transformers
EMNLP 2021
Making Paper Reviewing Robust to Bid Manipulation Attacks
ICML 2021
Measuring data leakage in machine-learning models with Fisher information
UAI 2021
Online Adaptation to Label Distribution Shift
NeurIPS 2021
ReAct: Out-of-distribution Detection With Rectified Activations
NeurIPS 2021
Certified Data Removal from Machine Learning Models
ICML 2020
A New Defense Against Adversarial Images: Turning a Weakness into a Strength
NeurIPS 2019
Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces
NeurIPS 2019
Low Frequency Adversarial Perturbation
UAI 2019
Simple Black-box Adversarial Attacks
ICML 2019
Countering Adversarial Images using Input Transformations
ICLR 2018
Discovering and Exploiting Additive Structure for Bayesian Optimization
AISTATS 2017
On Calibration of Modern Neural Networks
ICML 2017
Supervised Word Mover's Distance
NeurIPS 2016