Kai Yang
32 papers · 2016–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (12) π Academic Marathon (9) π Conference Polyglot (12) πΊοΈ Taxonomy Completionist (73)
πΊοΈ
Taxonomy Completionist
(73)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Grand Slam
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Keyword Champion
(2)
π
Century Club
(31)
β
The Questioner
ποΈ
Keyword Collector
(141)
π₯
Unstoppable
(10)
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Trend Setter
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Prolific Year
(6)
Conferences
AAAI (9)
ICML (6)
IJCAI (3)
NIPS (3)
CVPR (2)
EMNLP (2)
WACV (2)
ACL (1)
COLING (1)
ICCV (1)
ICLR (1)
INTERSPEECH (1)
Top co-authors
Keywords
diagnosis prediction
(2)
knowledge graph
(2)
gpu acceleration
(2)
neural network
(2)
attention mechanism
(2)
representation learning
(2)
bilevel optimization
(2)
reward model
(2)
large language model
(2)
graph neural network
(2)
convolutional neural network
(2)
anomaly detection
(1)
robust optimization
(1)
bayesian inference
(1)
image restoration
(1)
domain generalization
(1)
sample efficiency
(1)
learning theory
(1)
non-convex optimization
(1)
hyperparameter optimization
(1)
Papers
RoS-Guard: Robust and Scalable Online Change Detection with Delay-Optimal Guarantees
AAAI 2026
Contextures: Representations from Contexts
ICML 2025
DTZO: Distributed Trilevel Zeroth Order Learning with Provable Non-Asymptotic Convergence
ICML 2025
GPU-Accelerated Parallel Bilevel Optimization for Roubst 6G ISAC
AAAI 2025
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning
AAAI 2025
How Numerical Precision Affects Arithmetical Reasoning Capabilities of LLMs
ACL 2025
Robust Beamforming for Downlink Multi-Cell Systems: A Bilevel Optimization Perspective
AAAI 2024
Interpreting Temporal Knowledge Graph Reasoning (Student Abstract)
AAAI 2024
Improving IP Geolocation With Target-Centric IP Graph (Student Abstract)
AAAI 2024
Triadic-OCD: Asynchronous Online Change Detection with Provable Robustness, Optimality, and Convergence
ICML 2024
Do Efficient Transformers Really Save Computation?
ICML 2024
Exploration and Anti-Exploration with Distributional Random Network Distillation
ICML 2024
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
CVPR 2024
BATON: Aligning Text-to-Audio Model Using Human Preference Feedback
IJCAI 2024
Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation
ICML 2024
Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization
NIPS 2024
Provably Convergent Federated Trilevel Learning
AAAI 2024
ASM: Adaptive Skinning Model for High-Quality 3D Face Modeling
ICCV 2023
Few-Shot Object Counting With Similarity-Aware Feature Enhancement
WACV 2023
Auditory Attention Detection in Real-Life Scenarios Using Common Spatial Patterns from EEG
INTERSPEECH 2023
Asynchronous Distributed Bilevel Optimization
ICLR 2023
KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations
AAAI 2023
VecoCare: Visit Sequences-Clinical Notes Joint Learning for Diagnosis Prediction in Healthcare Data
IJCAI 2023
A Unified Model for Multi-class Anomaly Detection
NIPS 2022
Distributed Distributionally Robust Optimization with Non-Convex Objectives
NIPS 2022
DualSANet: Dual Spatial Attention Network for Iris Recognition
WACV 2021
COTSAE: CO-Training of Structure and Attribute Embeddings for Entity Alignment
AAAI 2020
Group-Wise Correlation Stereo Network
CVPR 2019
SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-Domain Text-to-SQL Task
EMNLP 2018
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
EMNLP 2018
Autoencoder Regularized Network For Driving Style Representation Learning
IJCAI 2017
Exploring Topic Discriminating Power of Words in Latent Dirichlet Allocation
COLING 2016