KAI ZHAO
73 papers · 2008–2026 · 17 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (17) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (11) π Interdisciplinary Bridge π Academic Marathon (17)
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Taxonomy Completionist
(11)
π§
Keyword Pioneer
π
Academic Marathon
(17)
π€
Dynamic Duo
(15)
π
Grand Slam
π±
Topic Pioneer
π₯
Unstoppable
(13)
π
Conference Pioneer
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(223)
β
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π
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π
Century Club
(65)
Conferences
AAAI (13)
IJCAI (8)
CVPR (8)
ACL (7)
EMNLP (7)
ICML (5)
ICLR (4)
NIPS (4)
ECCV (3)
MICCAI (3)
NAACL (3)
ICCV (2)
COLING (2)
IJCNLP (1)
INTERSPEECH (1)
UAI (1)
WACV (1)
Top co-authors
Research topics
Keywords
graph neural network
(10)
representation learning
(6)
attention mechanism
(4)
contrastive learning
(4)
node classification
(3)
convolutional neural network
(3)
multimodal learning
(3)
object detection
(3)
reinforcement learning
(3)
semantic annotation
(2)
multi-scale feature
(2)
hyperbolic embedding
(2)
magnetic resonance imaging
(2)
adversarial robustness
(2)
neural network optimization
(2)
transfer learning
(2)
chain-of-thought reasoning
(2)
self-supervised learning
(2)
face recognition
(2)
loss function
(2)
Papers
CEC-Zero: Zero-Supervision Character Error Correction with Self-Generated Rewards
AAAI 2026
Beyond Predictive Resampling: Learning Input-Agnostic Downsampling for Efficient Aligned Vision Recognition
AAAI 2026
Temporal Dynamics Enhancer for Directly Trained Spiking Object Detectors
AAAI 2026
Robust Explanations for User Trust in Enterprise NLP Systems
ACL 2026
LAMCL: A Length-aware Momentum Contrastive Learning Framework for Multiscale Machine-Revised Text Detection
ACL 2026
Community-Aware Assessment of Social Textual Engagement and Resonance: A Human-Centric Perspective on User-Generated Content Evaluation
ACL 2026
SABER: Switchable and Balanced Training for Efficient LLM Reasoning
AAAI 2026
PCFormer: Accelerating Privacy-preserving Transformer Inference by Partition and Combination
AAAI 2026
Rethinking Graph Neural Networks From A Geometric Perspective Of Node Features
ICLR 2025
Cross-City Latent Space Alignment for Consistency Region Embedding
ICML 2025
Neural Variable-Order Fractional Differential Equation Networks
AAAI 2025
Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation
AAAI 2025
Visual Autoregressive Modeling for Image Super-Resolution
ICML 2025
CD-PolypNet: Cross-Domain Polyp Segmentation Network with Internal Feature Distillation and Dual-Stream Boundary Focus via Large Vision Model
MICCAI 2025
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders
ICLR 2025
Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer
ICML 2025
Enhancing Diversity for Data-free Quantization
CVPR 2025
Urban Region Embedding via Multi-View Contrastive Prediction
AAAI 2024
Distributed-Order Fractional Graph Operating Network
NIPS 2024
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations
AAAI 2024
DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition
AAAI 2024
Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study
AAAI 2024
Chronic Poisoning: Backdoor Attack against Split Learning
AAAI 2024
Learning Visual Abstract Reasoning through Dual-Stream Networks
AAAI 2024
CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation
WACV 2024
Multi-modality 3D CNN Transformer for Assisting Clinical Decision in Intracerebral Hemorrhage
MICCAI 2024
Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection
MICCAI 2024
XPSR: Cross-modal Priors for Diffusion-based Image Super-Resolution
ECCV 2024
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
IJCAI 2024
Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place Names
IJCAI 2024
Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences
IJCAI 2024
Self-Promoted Clustering-based Contrastive Learning for Brain Networks Pretraining
IJCAI 2024
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
ICLR 2024
Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback
ICLR 2024
Quality-Aware Pre-Trained Models for Blind Image Quality Assessment
CVPR 2023
Towards an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information
IJCAI 2023
Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning
EMNLP 2023
HypLiLoc: Towards Effective LiDAR Pose Regression With Hyperbolic Fusion
CVPR 2023
RPG-Palm: Realistic Pseudo-data Generation for Palmprint Recognition
ICCV 2023
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks
ICML 2023
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks
ICML 2023
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
NIPS 2023
Graph Neural Convection-Diffusion with Heterophily
IJCAI 2023
BΓ©zierPalm: A Free Lunch for Palmprint Recognition
ECCV 2022
On the Robustness of Graph Neural Diffusion to Topology Perturbations
NIPS 2022
ContrastMask: Contrastive Learning To Segment Every Thing
CVPR 2022
A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation
IJCAI 2022
Structured sparsification with joint optimization of group convolution and channel shuffle
UAI 2021
Deep Hough Transform for Semantic Line Detection
ECCV 2020
Optimizing the F-Measure for Threshold-Free Salient Object Detection
ICCV 2019
RegularFace: Deep Face Recognition via Exclusive Regularization
CVPR 2019
Translate-to-Recognize Networks for RGB-D Scene Recognition
CVPR 2019
Hi-Fi: Hierarchical Feature Integration for Skeleton Detection
IJCAI 2018
Deep Regression Forests for Age Estimation
CVPR 2018
Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks
INTERSPEECH 2017
Label Distribution Learning Forests
NIPS 2017
When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size)
EMNLP 2017
Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank
EMNLP 2017
Object Skeleton Extraction in Natural Images by Fusing Scale-Associated Deep Side Outputs
CVPR 2016
Textual Entailment with Structured Attentions and Composition
COLING 2016
Type-Driven Incremental Semantic Parsing with Polymorphism
NAACL 2015
Search-Aware Tuning for Hierarchical Phrase-based Decoding
EMNLP 2015
Learning Translation Models from Monolingual Continuous Representations
NAACL 2015
Scalable Large-Margin Structured Learning: Theory and Algorithms
IJCNLP 2015
Scalable Large-Margin Structured Learning: Theory and Algorithms
ACL 2015
Scalable Large-Margin Structured Learning: Theory and Algorithms
ACL 2014
Hierarchical MT Training using Max-Violation Perceptron
ACL 2014
Online Learning for Inexact Hypergraph Search
EMNLP 2013
Max-Violation Perceptron and Forced Decoding for Scalable MT Training
EMNLP 2013
Minibatch and Parallelization for Online Large Margin Structured Learning
NAACL 2013
Efficient Implementation of Beam-Search Incremental Parsers
ACL 2013
Optimal Incremental Parsing via Best-First Dynamic Programming
EMNLP 2013
A Method for Automatic POS Guessing of Chinese Unknown Words
COLING 2008