Yang Cao
81 papers · 2016–2026 · 11 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+14 more ↓ Show less ↑
π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (12) π Conference Polyglot (11)
π
Renaissance Researcher
(11)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Conference Loyalist
(21)
π€
Dynamic Duo
(27)
π
Keyword Champion
(2)
π
Grand Slam
π¬
Deep Specialist
(10)
π§¬
Topic Evolution
π
Trend Setter
β‘
Prolific Year
(9)
ποΈ
Keyword Collector
(338)
π
Century Club
(72)
π₯
Unstoppable
(10)
Conferences
CVPR (21)
AAAI (14)
IJCAI (13)
ICCV (10)
NIPS (6)
ECCV (4)
ACL (3)
ICLR (3)
ICML (3)
AISTATS (2)
EMNLP (2)
Top co-authors
Research topics
Keywords
convolutional neural network
(8)
semantic segmentation
(6)
event camera
(5)
large language model
(5)
representation learning
(4)
knowledge distillation
(4)
domain adaptation
(4)
federated learning
(4)
diffusion model
(4)
vision-language model
(3)
image segmentation
(3)
human-object interaction
(3)
pose estimation
(3)
variational autoencoder
(3)
class-incremental learning
(3)
optimal transport
(3)
image restoration
(3)
feature extraction
(3)
continual learning
(3)
object affordance
(3)
Papers
Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models
AAAI 2026
Differentially Private Subspace Fine-Tuning for Large Language Models
AAAI 2026
IΒ²B-LPO: Latent Policy Optimization via Iterative Information Bottleneck
ACL 2026
IdeFN: Identifying Unclicked Space False Negatives via Relaxed Partial Optimal Transport for Conversion Rate Prediction
AAAI 2026
Retrieval-driven Reasoning for Deliberative Visual Classification
AAAI 2026
Otter: Mitigating Background Distractions of Wide-Angle Few-Shot Action Recognition with Enhanced RWKV
AAAI 2026
E-MaT:Event-oriented Mamba for Egocentric Point Tracking
AAAI 2026
APPSI-139: A Parallel Corpus of English Application Privacy Policy Summarization and Interpretation
ACL 2026
Privacy on the Fly: A Predictive Adversarial Transformation Network for Mobile Sensor Data
AAAI 2026
Towards Realistic Data Generation for Real-World Super-Resolution
ICLR 2025
Boosting Image De-Raining via Central-Surrounding Synergistic Convolution
AAAI 2025
Federated Graph Condensation with Information Bottleneck Principles
AAAI 2025
Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations
AAAI 2025
CODEMENV: Benchmarking Large Language Models on Code Migration
ACL 2025
MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking
ICCV 2025
SIGMAN: Scaling 3D Human Gaussian Generation with Millions of Assets
ICCV 2025
HERO: Human Reaction Generation from Videos
ICCV 2025
EMoTive: Event-guided Trajectory Modeling for 3D Motion Estimation
ICCV 2025
MMGIA: Gradient Inversion Attack Against Multimodal Federated Learning via Intermodal Correlation
IJCAI 2025
Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation
IJCAI 2025
INFP: INdustrial Video Anomaly Detection via Frequency Prioritization
IJCAI 2025
Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration
IJCAI 2025
UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation
ICML 2025
Benchmarking Large Vision-Language Models via Directed Scene Graph for Comprehensive Image Captioning
CVPR 2025
GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding
CVPR 2025
QMambaBSR: Burst Image Super-Resolution with Query State Space Model
CVPR 2025
MMAR: Towards Lossless Multi-Modal Auto-Regressive Probabilistic Modeling
CVPR 2025
Improved Video VAE for Latent Video Diffusion Model
CVPR 2025
Text Anomaly Detection with Simplified Isolation Kernel
EMNLP 2025
Curr-ReFT: Overcoming Training Bottlenecks in Small-scale Vision-Language Models via Curriculum Reinforcement Finetuning
EMNLP 2025
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning
ICLR 2025
Bidirectional Progressive Transformer for Interaction Intention Anticipation
ECCV 2024
EgoChoir: Capturing 3D Human-Object Interaction Regions from Egocentric Views
NIPS 2024
UNIT: Unifying Image and Text Recognition in One Vision Encoder
NIPS 2024
Hypercorrelation Evolution for Video Class-Incremental Learning
AAAI 2024
A Generalized Shuffle Framework for Privacy Amplification: Strengthening Privacy Guarantees and Enhancing Utility
AAAI 2024
Traffic Scene Parsing through the TSP6K Dataset
CVPR 2024
TRIP: Temporal Residual Learning with Image Noise Prior for Image-to-Video Diffusion Models
CVPR 2024
LEMON: Learning 3D Human-Object Interaction Relation from 2D Images
CVPR 2024
Improving Virtual Try-On with Garment-focused Diffusion Models
ECCV 2024
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning
ICML 2024
Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation
IJCAI 2024
Detecting Change Intervalswith Isolation Distributional Kernel (Abstract Reprint)
IJCAI 2024
Customizable Image Synthesis with Multiple Subjects
NIPS 2023
Leverage Interactive Affinity for Affordance Learning
CVPR 2023
Cones: Concept Neurons in Diffusion Models for Customized Generation
ICML 2023
CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object Detection
NIPS 2023
Decoupling-and-Aggregating for Image Exposure Correction
CVPR 2023
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection
CVPR 2023
Grounding 3D Object Affordance from 2D Interactions in Images
ICCV 2023
Self-Organizing Pathway Expansion for Non-Exemplar Class-Incremental Learning
ICCV 2023
Spatial-Aware Token for Weakly Supervised Object Localization
ICCV 2023
S2N: Suppression-Strengthen Network for Event-Based Recognition under Variant Illuminations
ECCV 2022
Towards Data-Efficient Detection Transformers
ECCV 2022
FP-DETR: Detection Transformer Advanced by Fully Pre-training
ICLR 2022
Uncertainty-Aware Hierarchical Refinement for Incremental Implicitly-Refined Classification
NIPS 2022
Dreaming To Prune Image Deraining Networks
CVPR 2022
ProgressiveMotionSeg: Mutually Reinforced Framework for Event-Based Motion Segmentation
AAAI 2022
Learning Affordance Grounding From Exocentric Images
CVPR 2022
Exploring Figure-Ground Assignment Mechanism in Perceptual Organization
NIPS 2022
Multi-Grained Spatio-Temporal Features Perceived Network for Event-Based Lip-Reading
CVPR 2022
Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning
CVPR 2022
Background Activation Suppression for Weakly Supervised Object Localization
CVPR 2022
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning
CVPR 2021
FLAME: Differentially Private Federated Learning in the Shuffle Model
AAAI 2021
One-Shot Affordance Detection
IJCAI 2021
Adaptively Multi-Objective Adversarial Training for Dialogue Generation
IJCAI 2020
Self-Supervised Tuning for Few-Shot Segmentation
IJCAI 2020
Deep Structure-Revealed Network for Texture Recognition
CVPR 2020
Deep Degradation Prior for Low-Quality Image Classification
CVPR 2020
One-Shot Texture Retrieval with Global Context Metric
IJCAI 2019
Deep Multiple-Attribute-Perceived Network for Real-World Texture Recognition
ICCV 2019
EGNet: Edge Guidance Network for Salient Object Detection
ICCV 2019
VAEGAN: A Collaborative Filtering Framework based on Adversarial Variational Autoencoders
IJCAI 2019
Integral Object Mining via Online Attention Accumulation
ICCV 2019
Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection
CVPR 2019
Nearly Optimal Adaptive Procedure with Change Detection for Piecewise-Stationary Bandit
AISTATS 2019
Nearly second-order optimality of online joint detection and estimation via one-sample update schemes
AISTATS 2018
Enhanced-alignment Measure for Binary Foreground Map Evaluation
IJCAI 2018
Fast Haze Removal for Nighttime Image Using Maximum Reflectance Prior
CVPR 2017
PARecommender: A Pattern-Based System for Route Recommendation
IJCAI 2016