Yuancheng Xu
13 papers · 2023–2026 · 7 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (37) π€ Dynamic Duo (10) π Grand Slam
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Triple Crown
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Keyword Collector
(72)
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Prolific Year Β· Productive
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Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(9)
Core AI
(9)
Machine Learning
(7)
Deep Learning
(5)
Models
(4)
Computer Vision
(3)
Learning Types Β· Machine Learning
(3)
Analysis
(2)
Application Areas Β· Machine Learning
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory
(2)
Processing
(2)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Application Areas Β· Deep Learning
(1)
Keywords
large language model
(3)
image classification
(2)
vision-language model
(2)
video generation
(2)
data poisoning
(1)
robustness
(1)
adversarial robustness
(1)
sequential decision making
(1)
model security
(1)
preference alignment
(1)
data augmentation
(1)
text generation
(1)
autoregressive generation
(1)
point cloud
(1)
markov decision process
(1)
adversarial training
(1)
depth estimation
(1)
kl regularization
(1)
optical flow
(1)
policy gradient
(1)
Papers
Vista4D: Video Reshooting with 4D Point Clouds
CVPR 2026
Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?
AAAI 2025
GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment
ICLR 2025
Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise
CVPR 2025
PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model
ICML 2025
Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension
ICCV 2025
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate
ICML 2024
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences
ACL 2024
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation
ICLR 2024
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models
NeurIPS 2024
WAVES: Benchmarking the Robustness of Image Watermarks
ICML 2024
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder
NeurIPS 2023
Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness
ICLR 2023