mingyan liu
17 papers · 2017–2024 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
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Interdisciplinary Bridge
🧭
Keyword Pioneer
🌍
Conference Polyglot
(8)
🏆
Grand Slam
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Keyword Collector
(69)
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Conference Pioneer
📈
Trend Setter
💎
Century Club
(17)
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Unstoppable
(8)
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The Questioner
(2)
Conferences
NIPS (4)
ICLR (3)
AAAI (2)
ICCV (2)
ICML (2)
IJCAI (2)
CVPR (1)
ECCV (1)
Top co-authors
Keywords
adversarial example
(3)
algorithmic fairness
(2)
adversarial attack
(2)
markov decision process
(2)
online learning
(2)
game theory
(2)
long-term fairness
(2)
fairness constraint
(2)
adversarial robustness
(2)
equilibrium analysis
(2)
human pose estimation
(1)
privacy preservation
(1)
convergence analysis
(1)
community detection
(1)
reinforcement learning
(1)
sequential decision making
(1)
edge detection
(1)
model robustness
(1)
nash equilibrium
(1)
object detection
(1)
Papers
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts
AAAI 2024
Fair Classifiers that Abstain without Harm
ICLR 2024
DensePure: Understanding Diffusion Models for Adversarial Robustness
ICLR 2023
Long-Term Fairness with Unknown Dynamics
NIPS 2023
Fairness Interventions as (Dis)Incentives for Strategic Manipulation
ICML 2022
Can Shape Structure Features Improve Model Robustness Under Diverse Adversarial Settings?
ICCV 2021
Multi-Scale Games: Representing and Solving Games on Networks with Group Structure
AAAI 2021
How do fair decisions fare in long-term qualification?
NIPS 2020
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations
NIPS 2020
Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness
NIPS 2019
MeshAdv: Adversarial Meshes for Visual Recognition
CVPR 2019
AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos
ICCV 2019
Spatially Transformed Adversarial Examples
ICLR 2018
Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms
ICML 2018
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation
ECCV 2018
Generating Adversarial Examples with Adversarial Networks
IJCAI 2018
Crowd Learning: Improving Online Decision Making Using Crowdsourced Data
IJCAI 2017