Xiaolin Hu
70 papers · 2014–2026 · 12 conferences · across top CS/AI conferences
Achievements
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(121)
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Keyword Pioneer
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Conference Loyalist
(27)
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Triple Crown
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Deep Specialist
(13)
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Keyword Champion
(2)
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Grand Slam
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Topic Evolution
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Conference Pioneer
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Unstoppable
(12)
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Prolific Year
(11)
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Keyword Collector
(265)
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Trend Setter
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Century Club
(66)
Conferences
CVPR (27)
ICLR (9)
NIPS (9)
AAAI (8)
ECCV (4)
ICCV (4)
ICML (3)
INTERSPEECH (2)
ACL (1)
COLING (1)
CORL (1)
IJCAI (1)
Top co-authors
Keywords
convolutional neural network
(11)
object detection
(10)
semantic segmentation
(6)
model compression
(6)
neural network
(6)
adversarial attack
(6)
adversarial learning
(4)
recurrent neural network
(4)
image classification
(4)
pedestrian detection
(3)
autonomous driving
(3)
knowledge distillation
(3)
feature pyramid
(3)
instance segmentation
(3)
low-rank adaptation
(3)
metric learning
(2)
sequence modeling
(2)
network pruning
(2)
attention mechanism
(2)
face recognition
(2)
Papers
Between a Rock and a Hard Place: The Tension Between Ethical Reasoning and Safety Alignment in LLMs
ACL 2026
Put the Space of LoRA Initialization to the Extreme to Preserve Pre-trained Knowledge
AAAI 2026
FGNet: Leveraging Feature-Guided Attention to Refine SAM2 for 3D EM Neuron Segmentation
AAAI 2026
VaccineRAG: Boosting Multimodal Large Language Modelsβ Immunity to Harmful RAG Samples
AAAI 2026
Towards Auto-Regressive Next-Token Prediction: In-context Learning Emerges from Generalization
ICLR 2025
PBCAT: Patch-Based Composite Adversarial Training against Physically Realizable Attacks on Object Detection
ICCV 2025
ADBM: Adversarial Diffusion Bridge Model for Reliable Adversarial Purification
ICLR 2025
Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology
AAAI 2025
PMSS: Pretrained Matrices Skeleton Selection for LLM Fine-tuning
COLING 2025
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization
IJCAI 2025
TIGER: Time-frequency Interleaved Gain Extraction and Reconstruction for Efficient Speech Separation
ICLR 2025
SonicSim: A customizable simulation platform for speech processing in moving sound source scenarios
ICLR 2025
Improving Accuracy and Calibration via Differentiated Deep Mutual Learning
CVPR 2025
GlyphMastero: A Glyph Encoder for High-Fidelity Scene Text Editing
CVPR 2025
SAM-REF: Introducing Image-Prompt Synergy during Interaction for Detail Enhancement in the Segment Anything Model
CVPR 2025
MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting
CVPR 2025
Efficient Neuron Segmentation in Electron Microscopy by Affinity-Guided Queries
ICLR 2025
ADePT: Adaptive Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning
ICLR 2025
Infrared Adversarial Car Stickers
CVPR 2024
CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics
NIPS 2024
Full-Distance Evasion of Pedestrian Detectors in the Physical World
NIPS 2024
Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective
CORL 2024
RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation
ICLR 2024
Controllable Navigation Instruction Generation with Chain of Thought Prompting
ECCV 2024
PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition
ECCV 2024
IIANet: An Intra- and Inter-Modality Attention Network for Audio-Visual Speech Separation
ICML 2024
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective
NIPS 2024
SAFDNet: A Simple and Effective Network for Fully Sparse 3D Object Detection
CVPR 2024
Language-Driven Anchors for Zero-Shot Adversarial Robustness
CVPR 2024
Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling
CVPR 2023
Visual Recognition by Request
CVPR 2023
Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses
ICLR 2023
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation
ICML 2023
HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds
NIPS 2023
Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model
INTERSPEECH 2023
An efficient encoder-decoder architecture with top-down attention for speech separation
ICLR 2023
Adversarial Texture for Fooling Person Detectors in the Physical World
CVPR 2022
On the Use of Deep Mask Estimation Module for Neural Source Separation Systems
INTERSPEECH 2022
NP-Match: When Neural Processes meet Semi-Supervised Learning
ICML 2022
Active Pointly-Supervised Instance Segmentation
ECCV 2022
Infrared Invisible Clothing: Hiding From Infrared Detectors at Multiple Angles in Real World
CVPR 2022
RSG: A Simple but Effective Module for Learning Imbalanced Datasets
CVPR 2021
Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network
NIPS 2021
Fooling Thermal Infrared Pedestrian Detectors in Real World Using Small Bulbs
AAAI 2021
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection
CVPR 2021
RefineMask: Towards High-Quality Instance Segmentation With Fine-Grained Features
CVPR 2021
Look Closer To Segment Better: Boundary Patch Refinement for Instance Segmentation
CVPR 2021
DAM: Discrepancy Alignment Metric for Face Recognition
ICCV 2021
Boosting Decision-based Black-box Adversarial Attacks with Random Sign Flip
ECCV 2020
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection
NIPS 2020
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning
NIPS 2020
Dynamic Network Pruning with Interpretable Layerwise Channel Selection
AAAI 2020
Pruning from Scratch
AAAI 2020
Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition
CVPR 2020
Online Knowledge Distillation via Collaborative Learning
CVPR 2020
Knowledge Distillation via Route Constrained Optimization
ICCV 2019
Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose Estimation
AAAI 2019
Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization
ICCV 2019
Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift
CVPR 2019
Selective Kernel Networks
CVPR 2019
Interpret Neural Networks by Identifying Critical Data Routing Paths
CVPR 2018
Boosting Adversarial Attacks With Momentum
CVPR 2018
High Performance Visual Tracking With Siamese Region Proposal Network
CVPR 2018
Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser
CVPR 2018
Scale-Aware Face Detection
CVPR 2017
Gated Recurrent Convolution Neural Network for OCR
NIPS 2017
Joint Training of Cascaded CNN for Face Detection
CVPR 2016
Recurrent Convolutional Neural Network for Object Recognition
CVPR 2015
Convolutional Neural Networks with Intra-Layer Recurrent Connections for Scene Labeling
NIPS 2015
A Reverse Hierarchy Model for Predicting Eye Fixations
CVPR 2014