Yi Yu
51 papers · 2016–2026 · 18 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (17) π Renaissance Researcher (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (9)
π
Academic Marathon
(9)
π
Cross-Pollinator
(13)
πΊοΈ
Taxonomy Completionist
(83)
π
Keyword Champion
(8)
π
Grand Slam
π
Triple Crown
π
Century Club
(46)
ποΈ
Keyword Collector
(209)
π₯
Unstoppable
(6)
β‘
Prolific Year
(7)
Conferences
CVPR (10)
NIPS (8)
AAAI (6)
ICML (4)
AISTATS (3)
IJCAI (3)
ACL (3)
ICCV (2)
ICLR (2)
JMLR (2)
EACL (1)
ECCV (1)
EMNLP (1)
IJCNLP (1)
INTERSPEECH (1)
MIDL (1)
NAACL (1)
OSDI (1)
Top co-authors
Research topics
Keywords
change point detection
(8)
adversarial attack
(5)
oriented object detection
(5)
image restoration
(3)
high-dimensional regression
(3)
diffusion model
(3)
foundation model
(2)
unsupervised learning
(2)
local differential privacy
(2)
backdoor attack
(2)
zero-shot learning
(2)
convolutional neural network
(2)
weakly supervised learning
(2)
adversarial learning
(2)
image compression
(2)
weakly-supervised learning
(2)
autonomous driving
(2)
image reconstruction
(2)
adversarial perturbation
(2)
multi-document summarization
(2)
Papers
Unlocking 2D Promptable Foundation Models for 3D Vessel Segmentation by Automatic Prompt Generation
MIDL 2026
From Pretrain to Pain: Adversarial Vulnerability of Video Foundation Models Without Task Knowledge
AAAI 2026
Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents
ACL 2026
Every Little Bit Helps: Exploring Better Utilization of Unlabeled Data for Semi-supervised Singing Melody Extraction Using Multi-bands Diffusion Model
AAAI 2026
SAVER: Mitigating Hallucinations in Large Vision-Language Models via Style-Aware Visual Early Revision
AAAI 2026
Backdoor Attacks Against No-Reference Image Quality Assessment Models via a Scalable Trigger
AAAI 2025
Transfer Learning for Nonparametric Contextual Dynamic Pricing
ICML 2025
EvoBench: Towards Real-world LLM-Generated Text Detection Benchmarking for Evolving Large Language Models
ACL 2025
One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs
ICML 2025
PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection
ICLR 2025
Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking
ICCV 2025
Enduring, Efficient and Robust Trajectory Prediction Attack in Autonomous Driving via Optimization-Driven Multi-Frame Perturbation Framework
CVPR 2025
X-Boundary: Establishing Exact Safety Boundary to Shield LLMs from Jailbreak Attacks without Compromising Usability
EMNLP 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
CVPR 2025
Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances
CVPR 2025
MMLF: Multi-query Multi-passage Late Fusion Retrieval
NAACL 2025
MTL-UE: Learning to Learn Nothing for Multi-Task Learning
ICML 2025
Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing
ICLR 2024
Transferable Adversarial Attacks on SAM and Its Downstream Models
NIPS 2024
Scalable Motion Style Transfer with Constrained Diffusion Generation
AAAI 2024
Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI
CVPR 2024
PointOBB: Learning Oriented Object Detection via Single Point Supervision
CVPR 2024
Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point Supervision
CVPR 2024
Syllable-level lyrics generation from melody exploiting character-level language model
EACL 2024
Towards Physical World Backdoor Attacks against Skeleton Action Recognition
ECCV 2024
Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders
ICML 2024
Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger
CVPR 2023
Change point detection and inference in multivariate non-parametric models under mixing conditions
NIPS 2023
Defcon: Preventing Overload with Graceful Feature Degradation
OSDI 2023
Raw Image Reconstruction With Learned Compact Metadata
CVPR 2023
H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection
NIPS 2023
Phase-Shifting Coder: Predicting Accurate Orientation in Oriented Object Detection
CVPR 2023
ExposureDiffusion: Learning to Expose for Low-light Image Enhancement
ICCV 2023
Network change point localisation under local differential privacy
NIPS 2022
Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond
CVPR 2022
Optimal partition recovery in general graphs
AISTATS 2022
Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients
AISTATS 2022
Feature Distillation Interaction Weighting Network for Lightweight Image Super-resolution
AAAI 2022
Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer
IJCAI 2022
Change point localization in dependent dynamic nonparametric random dot product graphs
JMLR 2022
Functional Linear Regression with Mixed Predictors
JMLR 2022
Change-point Detection for Sparse and Dense Functional Data in General Dimensions
NIPS 2022
Adversarially Robust Change Point Detection
NIPS 2021
Locally private online change point detection
NIPS 2021
Localizing Changes in High-Dimensional Regression Models
AISTATS 2021
Lattice partition recovery with dyadic CART
NIPS 2021
Multi-TimeLine Summarization (MTLS): Improving Timeline Summarization by Generating Multiple Summaries
IJCNLP 2021
Multi-TimeLine Summarization (MTLS): Improving Timeline Summarization by Generating Multiple Summaries
ACL 2021
End-to-End Named Entity Recognition from English Speech
INTERSPEECH 2020
Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination
IJCAI 2018
Scale-Adaptive Low-Resolution Person Re-Identification via Learning a Discriminating Surface
IJCAI 2016