← Authors

Xiangyu Zhang

145 papers · 2015–2026 · 13 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🌍 Conference Polyglot (13) πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (11) 🏠 Conference Loyalist (41) πŸ† Grand Slam 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ‘‘ Triple Crown 🀝 Dynamic Duo (44) πŸ”¬ Deep Specialist (24) ⚑ Prolific Year (16) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (143) πŸ—ƒοΈ Keyword Collector (470) πŸ”₯ Unstoppable (12)

Conferences

CVPR (41) NIPS (19) ECCV (18) AAAI (13) ICCV (13) ICLR (12) ICML (9) ACL (7) EMNLP (7) IJCAI (2) INTERSPEECH (2) EACL (1) WACV (1)

Top co-authors

Jian Sun (44) Guanhong Tao (24) Tiancai Wang (23) Guangyu Shen (17) Siyuan Cheng (16) Tong Yang (13) Kaiyuan Zhang (12) Yingqi Liu (12) Shiqing Ma (12) Zheng Ge (11)

Research topics

Privacy (4) Security & Privacy (1)

Keywords

object detection (24) semantic segmentation (17) neural network (11) backdoor attack (11) convolutional neural network (10) image classification (9) adversarial attack (7) model compression (7) 3d object detection (7) diffusion model (6) adversarial learning (6) large language model (6) backdoor detection (5) neural architecture search (5) self-supervised learning (5) neural network optimization (5) autonomous driving (4) deep neural network (4) trigger inversion (4) vision transformer (4)

Papers

Poisoning with a Pill: Circumventing Detection in Federated Learning AAAI 2026
SpatialActor: Exploring Disentangled Spatial Representations for Robust Robotic Manipulation AAAI 2026
Mitigating Backdoor Attacks via Trigger Reconstruction and Model Hardening WACV 2026
Multi-matrix Factorization Attention ACL 2025
Reconstructive Visual Instruction Tuning ICLR 2025
Beyond Sequences: Two-dimensional Representation and Dependency Encoding for Code Generation ACL 2025
Exploiting the Shadows: Unveiling Privacy Leaks through Lower-Ranked Tokens in Large Language Models ACL 2025
System Prompt Hijacking via Permutation Triggers in LLM Supply Chains ACL 2025
SpeechT-RAG: Reliable Depression Detection in LLMs with Retrieval-Augmented Generation Using Speech Timing Information ACL 2025
Unhackable Temporal Reward for Scalable Video MLLMs ICLR 2025
Glad: A Streaming Scene Generator for Autonomous Driving ICLR 2025
DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation ICLR 2025
Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning ICLR 2025
JailbreakDiffBench: A Comprehensive Benchmark for Jailbreaking Diffusion Models ICCV 2025
Holistic Tokenizer for Autoregressive Image Generation ICCV 2025
Ross3D: Reconstructive Visual Instruction Tuning with 3D-Awareness ICCV 2025
Efficient Dynamic Clustering-Based Document Compression for Retrieval-Augmented-Generation EMNLP 2025
Profiler: Black-box AI-generated Text Origin Detection via Context-aware Inference Pattern Analysis EMNLP 2025
Foot-In-The-Door: A Multi-turn Jailbreak for LLMs EMNLP 2025
CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI CVPR 2025
Taming Teacher Forcing for Masked Autoregressive Video Generation CVPR 2025
Continuous Semi-Implicit Models ICML 2025
ProSec: Fortifying Code LLMs with Proactive Security Alignment ICML 2025
RepoAudit: An Autonomous LLM-Agent for Repository-Level Code Auditing ICML 2025
Perception in Reflection ICML 2025
SubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control AAAI 2025
Language Prompt for Autonomous Driving AAAI 2025
LLMDFA: Analyzing Dataflow in Code with Large Language Models NIPS 2024
When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search NIPS 2024
BiScope: AI-generated Text Detection by Checking Memorization of Preceding Tokens NIPS 2024
Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases NIPS 2024
DDAE: Towards Deep Dynamic Vision BERT Pretraining AAAI 2024
Far3D: Expanding the Horizon for Surround-View 3D Object Detection AAAI 2024
Compound Text-Guided Prompt Tuning via Image-Adaptive Cues AAAI 2024
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift AAAI 2024
Striking a Balance between Classical and Deep Learning Approaches in Natural Language Processing Pedagogy ACL 2024
LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning CVPR 2024
Panacea: Panoramic and Controllable Video Generation for Autonomous Driving CVPR 2024
LAMP: Learn A Motion Pattern for Few-Shot Video Generation CVPR 2024
Threat Behavior Textual Search by Attention Graph Isomorphism EACL 2024
Vary: Scaling up the Vision Vocabulary for Large Vision-Language Models ECCV 2024
Merlin: Empowering Multimodal LLMs with Foresight Minds ECCV 2024
Stream Query Denoising for Vectorized HD-Map Construction ECCV 2024
UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening ECCV 2024
When LLMs Meets Acoustic Landmarks: An Efficient Approach to Integrate Speech into Large Language Models for Depression Detection EMNLP 2024
Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed up Speech Diffusion Model EMNLP 2024
Sanitizing Large Language Models in Bug Detection with Data-Flow EMNLP 2024
DreamLLM: Synergistic Multimodal Comprehension and Creation ICLR 2024
Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection ICLR 2024
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks ICML 2024
Reflected Flow Matching ICML 2024
ChatSpot: Bootstrapping Multimodal LLMs via Precise Referring Instruction Tuning IJCAI 2024
Binaural Selective Attention Model for Target Speaker Extraction INTERSPEECH 2024
MERLIon CCS Challenge: A English-Mandarin code-switching child-directed speech corpus for language identification and diarization INTERSPEECH 2023
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks ICLR 2023
Reversible Column Networks ICLR 2023
Re-parameterizing Your Optimizers rather than Architectures ICLR 2023
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning ICLR 2023
Slot-guided Volumetric Object Radiance Fields NIPS 2023
ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP NIPS 2023
MEDIC: Remove Model Backdoors via Importance Driven Cloning CVPR 2023
Understanding Imbalanced Semantic Segmentation Through Neural Collapse CVPR 2023
LargeKernel3D: Scaling Up Kernels in 3D Sparse CNNs CVPR 2023
Detecting Backdoors in Pre-Trained Encoders CVPR 2023
Understanding Masked Image Modeling via Learning Occlusion Invariant Feature CVPR 2023
OnlineRefer: A Simple Online Baseline for Referring Video Object Segmentation ICCV 2023
PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images ICCV 2023
MatrixVT: Efficient Multi-Camera to BEV Transformation for 3D Perception ICCV 2023
Cross Modal Transformer: Towards Fast and Robust 3D Object Detection ICCV 2023
Syntax-Aware Retrieval Augmented Code Generation EMNLP 2023
Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection ICCV 2023
Referring Multi-Object Tracking CVPR 2023
MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors CVPR 2023
Backdooring Neural Code Search ACL 2023
RevColV2: Exploring Disentangled Representations in Masked Image Modeling NIPS 2023
BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning NIPS 2023
Differentiable Architecture Search With Random Features CVPR 2023
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking CVPR 2023
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining ICML 2023
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration NIPS 2023
Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration NIPS 2023
Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense ICML 2022
Better Trigger Inversion Optimization in Backdoor Scanning CVPR 2022
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs CVPR 2022
Bounded Adversarial Attack on Deep Content Features CVPR 2022
Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation CVPR 2022
Relieving Long-Tailed Instance Segmentation via Pairwise Class Balance CVPR 2022
Progressive End-to-End Object Detection in Crowded Scenes CVPR 2022
Focal Sparse Convolutional Networks for 3D Object Detection CVPR 2022
RepMLPNet: Hierarchical Vision MLP With Re-Parameterized Locality CVPR 2022
Complex Backdoor Detection by Symmetric Feature Differencing CVPR 2022
Self-Supervised Visual Representation Learning with Semantic Grouping NIPS 2022
LGD: Label-Guided Self-Distillation for Object Detection AAAI 2022
Anchor DETR: Query Design for Transformer-Based Detector AAAI 2022
Simple Baselines for Image Restoration ECCV 2022
PETR: Position Embedding Transformation for Multi-View 3D Object Detection ECCV 2022
MOTR: End-to-End Multiple-Object Tracking with TRansformer ECCV 2022
Revisiting the Critical Factors of Augmentation-Invariant Representation Learning ECCV 2022
Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches ECCV 2022
GL-RG: Global-Local Representation Granularity for Video Captioning IJCAI 2022
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification AAAI 2021
Spherical Motion Dynamics: Learning Dynamics of Normalized Neural Network using SGD and Weight Decay NIPS 2021
Neural Architecture Search With Random Labels CVPR 2021
You Only Look One-Level Feature CVPR 2021
Diverse Branch Block: Building a Convolution as an Inception-Like Unit CVPR 2021
Image Synthesis via Semantic Composition ICCV 2021
Dynamic Region-Aware Convolution CVPR 2021
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization ICML 2021
RepVGG: Making VGG-Style ConvNets Great Again CVPR 2021
Constrained Two-step Look-Ahead Bayesian Optimization NIPS 2021
Instance-Conditional Knowledge Distillation for Object Detection NIPS 2021
SOLQ: Segmenting Objects by Learning Queries NIPS 2021
Towards Feature Space Adversarial Attack by Style Perturbation AAAI 2021
Points As Queries: Weakly Semi-Supervised Object Detection by Points CVPR 2021
Activate or Not: Learning Customized Activation CVPR 2021
Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection AAAI 2021
Detection in Crowded Scenes: One Proposal, Multiple Predictions CVPR 2020
Rethinking Learnable Tree Filter for Generic Feature Transform NIPS 2020
LabelEnc: A New Intermediate Supervision Method for Object Detection ECCV 2020
Angle-based Search Space Shrinking for Neural Architecture Search ECCV 2020
Towards Stabilizing Batch Statistics in Backward Propagation of Batch Normalization ICLR 2020
Single Path One-Shot Neural Architecture Search with Uniform Sampling ECCV 2020
WeightNet: Revisiting the Design Space of Weight Networks ECCV 2020
Funnel Activation for Visual Recognition ECCV 2020
Learning Delicate Local Representations for Multi-Person Pose Estimation ECCV 2020
Learning Human-Object Interaction Detection Using Interaction Points CVPR 2020
Attentive Normalization for Conditional Image Generation CVPR 2020
Learning Dynamic Routing for Semantic Segmentation CVPR 2020
DetNAS: Backbone Search for Object Detection NIPS 2019
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution CVPR 2019
Bounding Box Regression With Uncertainty for Accurate Object Detection CVPR 2019
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning ICCV 2019
Objects365: A Large-Scale, High-Quality Dataset for Object Detection ICCV 2019
MegDet: A Large Mini-Batch Object Detector CVPR 2018
DetNet: Design Backbone for Object Detection ECCV 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design ECCV 2018
ExFuse: Enhancing Feature Fusion for Semantic Segmentation ECCV 2018
MetaAnchor: Learning to Detect Objects with Customized Anchors NIPS 2018
Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples NIPS 2018
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices CVPR 2018
Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network CVPR 2017
Channel Pruning for Accelerating Very Deep Neural Networks ICCV 2017
Deep Residual Learning for Image Recognition CVPR 2016
Efficient and Accurate Approximations of Nonlinear Convolutional Networks CVPR 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification ICCV 2015