← Authors

Yi Yu

49 papers · 2016–2026 · 17 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (17) πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (13) πŸ—ΊοΈ Taxonomy Completionist (83) πŸ† Keyword Champion (8) πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ’Ž Century Club (46) πŸ—ƒοΈ Keyword Collector (209) πŸ”₯ Unstoppable (6) ⚑ Prolific Year (7)

Conferences

CVPR (10) NIPS (8) AAAI (6) ICML (4) AISTATS (3) IJCAI (3) JMLR (2) ICLR (2) ICCV (2) ACL (2) EMNLP (1) ECCV (1) IJCNLP (1) INTERSPEECH (1) EACL (1) NAACL (1) OSDI (1)

Top co-authors

Wenhan Yang (9) Song Xia (7) Alex Kot (6) Alex C. Kot (6) Xudong Jiang (5) Yufei Wang (5) Xue Yang (5) Yap-Peng Tan (5) Alessandro Rinaldo (4) Junchi Yan (4)

Research topics

Privacy (2)

Keywords

change point detection (8) adversarial attack (5) oriented object detection (5) image restoration (3) high-dimensional regression (3) diffusion model (3) multi-document summarization (2) adversarial learning (2) news article (2) backdoor attack (2) convolutional neural network (2) weakly supervised learning (2) unsupervised learning (2) local differential privacy (2) image compression (2) weakly-supervised learning (2) autonomous driving (2) image reconstruction (2) adversarial perturbation (2) timeline summarization (2)

Papers

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
From Pretrain to Pain: Adversarial Vulnerability of Video Foundation Models Without Task Knowledge AAAI 2026
MTL-UE: Learning to Learn Nothing for Multi-Task Learning ICML 2025
Backdoor Attacks Against No-Reference Image Quality Assessment Models via a Scalable Trigger AAAI 2025
EvoBench: Towards Real-world LLM-Generated Text Detection Benchmarking for Evolving Large Language Models ACL 2025
Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances CVPR 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems CVPR 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
Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking ICCV 2025
PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection ICLR 2025
One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs ICML 2025
Transfer Learning for Nonparametric Contextual Dynamic Pricing ICML 2025
MMLF: Multi-query Multi-passage Late Fusion Retrieval NAACL 2025
Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing ICLR 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
Scalable Motion Style Transfer with Constrained Diffusion Generation AAAI 2024
Transferable Adversarial Attacks on SAM and Its Downstream Models NIPS 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
Defcon: Preventing Overload with Graceful Feature Degradation OSDI 2023
H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection NIPS 2023
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
Phase-Shifting Coder: Predicting Accurate Orientation in Oriented Object Detection CVPR 2023
Raw Image Reconstruction With Learned Compact Metadata CVPR 2023
ExposureDiffusion: Learning to Expose for Low-light Image Enhancement ICCV 2023
Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients AISTATS 2022
Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond CVPR 2022
Change point localization in dependent dynamic nonparametric random dot product graphs JMLR 2022
Functional Linear Regression with Mixed Predictors JMLR 2022
Network change point localisation under local differential privacy NIPS 2022
Change-point Detection for Sparse and Dense Functional Data in General Dimensions NIPS 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
Optimal partition recovery in general graphs AISTATS 2022
Adversarially Robust Change Point Detection NIPS 2021
Locally private online change point detection NIPS 2021
Multi-TimeLine Summarization (MTLS): Improving Timeline Summarization by Generating Multiple Summaries ACL 2021
Lattice partition recovery with dyadic CART NIPS 2021
Localizing Changes in High-Dimensional Regression Models AISTATS 2021
Multi-TimeLine Summarization (MTLS): Improving Timeline Summarization by Generating Multiple Summaries IJCNLP 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