Yueming LYU
16 papers · 2017–2026 · 5 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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(5)
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Venues
Top co-authors
Research topics
Machine Learning
(11)
Deep Learning
(6)
Learning Types Β· Machine Learning
(6)
Computer Vision
(5)
Learning Types Β· Deep Learning
(4)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Mathematics & Optimization
(3)
Core AI
(3)
Core Methods
(3)
Models
(3)
Optimization
(3)
Reinforcement Learning
(2)
Analysis
(2)
Application Areas
(2)
Keywords
black-box optimization
(3)
quasi-monte carlo
(2)
imitation learning
(2)
diffusion model
(2)
convergence rate
(2)
action recognition
(1)
multi-task learning
(1)
stochastic gradient
(1)
bayesian inference
(1)
domain adaptation
(1)
motion synthesis
(1)
self-supervised learning
(1)
weakly supervised learning
(1)
knowledge distillation
(1)
zero-shot learning
(1)
query efficiency
(1)
sharpness-aware minimization
(1)
semantic alignment
(1)
inverse reinforcement learning
(1)
video understanding
(1)
Papers
ATM: Enhanced Alignment for Text-to-Motion Generation
WACV 2026
Beyond Weak Supervision: MLLMs-Guided Graded Knowledge Distillation for Unsupervised Camouflaged Object Detection
CVPR 2026
RunawayEvil: Jailbreaking the Image-to-Video Generative Models
CVPR 2026
Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity
ICML 2025
Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation
ICLR 2025
Image-level Memorization Detection via Inversion-based Inference Perturbation
ICLR 2025
Sharpness-Aware Black-Box Optimization
ICLR 2025
Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning
ICLR 2024
Diversified Batch Selection for Training Acceleration
ICML 2024
On Harmonizing Implicit Subpopulations
ICLR 2024
Fast Rank-1 Lattice Targeted Sampling for Black-box Optimization
NeurIPS 2023
Curriculum Loss: Robust Learning and Generalization against Label Corruption
ICLR 2020
Intrinsic Reward Driven Imitation Learning via Generative Model
ICML 2020
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo
NeurIPS 2020
MARGINALIZED AVERAGE ATTENTIONAL NETWORK FOR WEAKLY-SUPERVISED LEARNING
ICLR 2019
Spherical Structured Feature Maps for Kernel Approximation
ICML 2017