Joey Tianyi Zhou
79 papers · 2012–2026 · 17 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (17) πΊοΈ Taxonomy Completionist (14) π Interdisciplinary Bridge π Academic Marathon (13)
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Cross-Pollinator
(15)
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Renaissance Researcher
(9)
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Triple Crown
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Grand Slam
π€
Dynamic Duo
(13)
ποΈ
Keyword Collector
(299)
β
The Questioner
β‘
Prolific Year
(6)
π
Conference Pioneer
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Trend Setter
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Century Club
(77)
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Unstoppable
(7)
Conferences
NIPS (14)
CVPR (10)
AAAI (9)
ICLR (8)
ACL (7)
EMNLP (6)
ICML (5)
ECCV (4)
ICCV (4)
IJCAI (2)
INTERSPEECH (2)
JMLR (2)
WACV (2)
AISTATS (1)
ACML (1)
IJCNLP (1)
NAACL (1)
Top co-authors
Keywords
representation learning
(5)
domain adaptation
(4)
contrastive learning
(4)
semantic segmentation
(4)
multimodal learning
(4)
neural network
(4)
adversarial attack
(4)
adversarial learning
(4)
dataset distillation
(4)
video understanding
(3)
model robustness
(3)
neural network training
(3)
backdoor attack
(3)
multi-view clustering
(3)
transfer learning
(3)
synthetic dataset
(3)
metric learning
(2)
coreset selection
(2)
zero-shot learning
(2)
medical imaging
(2)
Papers
Poisoned Distillation: Injecting Backdoors into Distilled Datasets Without Raw Data Access
AAAI 2026
Robust Semi-paired Multimodal Learning for Cross-modal Retrieval
AAAI 2026
KPL: Training-Free Medical Knowledge Mining of Vision-Language Models
AAAI 2025
PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction
WACV 2025
Identifying and Mitigating Social Bias Knowledge in Language Models
NAACL 2025
Deep Unsupervised Hashing via External Guidance
ICML 2025
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator
ICLR 2025
Agent Trading Arena: A Study on Numerical Understanding in LLM-Based Agents
EMNLP 2025
CondenseLM: LLMs-driven Text Dataset Condensation via Reward Matching
EMNLP 2025
Learning with Noisy Triplet Correspondence for Composed Image Retrieval
CVPR 2025
ProjAttacker: A Configurable Physical Adversarial Attack for Face Recognition via Projector
CVPR 2025
DiffPO: Diffusion-styled Preference Optimization for Inference Time Alignment of Large Language Models
ACL 2025
Understanding Large Language Model Vulnerabilities to Social Bias Attacks
ACL 2025
Multisize Dataset Condensation
ICLR 2024
The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection
NIPS 2024
Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment
NIPS 2024
PointCVaR: Risk-Optimized Outlier Removal for Robust 3D Point Cloud Classification
AAAI 2024
Noisy-Correspondence Learning for Text-to-Image Person Re-identification
CVPR 2024
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning
CVPR 2024
CrossGLG: LLM Guides One-shot Skeleton-based 3D Action Recognition in a Cross-level Manner
ECCV 2024
STSP: Spatial-Temporal Subspace Projection for Video Class-incremental Learning
ECCV 2024
Direct Distillation between Different Domains
ECCV 2024
Shortcuts Arising from Contrast: Towards Effective and Lightweight Clean-Label Attacks in Prompt-Based Learning
EMNLP 2024
MedCoT: Medical Chain of Thought via Hierarchical Expert
EMNLP 2024
Video-Text Prompting for Weakly Supervised Spatio-Temporal Video Grounding
EMNLP 2024
VPL: Visual Proxy Learning Framework for Zero-Shot Medical Image Diagnosis
EMNLP 2024
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data
ICLR 2024
Data-independent Module-aware Pruning for Hierarchical Vision Transformers
ICLR 2024
You Only Condense Once: Two Rules for Pruning Condensed Datasets
NIPS 2023
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer
NIPS 2023
Provable Dynamic Fusion for Low-Quality Multimodal Data
ICML 2023
dugMatting: Decomposed-Uncertainty-Guided Matting
ICML 2023
Calibrating Multimodal Learning
ICML 2023
Minimizing the Accumulated Trajectory Error To Improve Dataset Distillation
CVPR 2023
Real-Time Multi-Person Eyeblink Detection in the Wild for Untrimmed Video
CVPR 2023
A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation From a Single RGB Image
CVPR 2023
Fast Model DeBias with Machine Unlearning
NIPS 2023
Meta Knowledge Condensation for Federated Learning
ICLR 2023
Sequential Subset Matching for Dataset Distillation
NIPS 2023
Towards Distribution-Agnostic Generalized Category Discovery
NIPS 2023
Frequency Guidance Matters in Few-Shot Learning
ICCV 2023
Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering
ICCV 2023
Cross-modal Active Complementary Learning with Self-refining Correspondence
NIPS 2023
C3P: Cross-Domain Pose Prior Propagation for Weakly Supervised 3D Human Pose Estimation
ECCV 2022
XAI Beyond Classification: Interpretable Neural Clustering
JMLR 2022
Multi-Scale Adaptive Network for Single Image Denoising
NIPS 2022
Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation
WACV 2022
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks
ICLR 2022
Sharpness-Aware Training for Free
NIPS 2022
Parallel Attention Network with Sequence Matching for Video Grounding
ACL 2021
Contrastive Clustering
AAAI 2021
Trusted Multi-View Classification
ICLR 2021
PointBA: Towards Backdoor Attacks in 3D Point Cloud
ICCV 2021
Parallel Attention Network with Sequence Matching for Video Grounding
IJCNLP 2021
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions
NIPS 2021
3DV: 3D Dynamic Voxel for Action Recognition in Depth Video
CVPR 2020
Hooks in the Headline: Learning to Generate Headlines with Controlled Styles
ACL 2020
Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering
ACL 2020
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games
NIPS 2020
Partially View-aligned Clustering
NIPS 2020
Speaker and Phoneme-Aware Speech Bandwidth Extension with Residual Dual-Path Network
INTERSPEECH 2020
Unsupervised Domain Adaptation on Reading Comprehension
AAAI 2020
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
AAAI 2020
Multi-Task Learning for End-to-End Noise-Robust Bandwidth Extension
INTERSPEECH 2020
Span-based Localizing Network for Natural Language Video Localization
ACL 2020
Query-efficient Meta Attack to Deep Neural Networks
ICLR 2020
Multi-class Heterogeneous Domain Adaptation
JMLR 2019
A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation From a Single Depth Image
ICCV 2019
Inter-Class Angular Loss for Convolutional Neural Networks
AAAI 2019
CPM-Nets: Cross Partial Multi-View Networks
NIPS 2019
Multi-view Spectral Clustering Network
IJCAI 2019
COMIC: Multi-view Clustering Without Parameter Selection
ICML 2019
Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective
AAAI 2019
Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition
ACL 2019
MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks With Privileged Information
CVPR 2017
Transfer Hashing with Privileged Information
IJCAI 2016
Exploit Bounding Box Annotations for Multi-Label Object Recognition
CVPR 2016
Heterogeneous Domain Adaptation for Multiple Classes
AISTATS 2014
Multi-view Positive and Unlabeled Learning
ACML 2012