Xingyi Zhang
18 papers · 2022–2026 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
π Cross-Pollinator (10) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (5) π Renaissance Researcher (6)
π
Cross-Pollinator
(10)
π§
Keyword Pioneer
π
Keyword Champion
(2)
π₯
Unstoppable
(5)
π
Century Club
(13)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(74)
Conferences
AAAI (10)
IJCAI (3)
ICLR (2)
NIPS (2)
ICCV (1)
Top co-authors
Research topics
Keywords
cognitive diagnosis
(5)
knowledge tracing
(4)
neural network
(4)
model quantization
(3)
model compression
(2)
knowledge distillation
(2)
mixed precision
(2)
graph neural network
(2)
bit-width adaptation
(2)
knowledge proficiency
(2)
contrastive learning
(2)
mixed-precision quantization
(2)
evolutionary algorithm
(2)
post-training quantization
(2)
student modeling
(2)
multimodal learning
(1)
attention mechanism
(1)
self-supervised learning
(1)
collaborative filtering
(1)
affective computing
(1)
Papers
UniABG: Unified Adversarial View Bridging and Graph Correspondence for Unsupervised Cross-View Geo-Localization
AAAI 2026
PEOAT: Personalization-Guided Evolutionary Question Assembly for One-Shot Adaptive Testing
AAAI 2026
Debiased Cognitive Diagnosis: A Contrastive Counterfactual Modeling Method via Variational Autoencoder
AAAI 2026
QuEPT: Quantized Elastic Precision Transformers with One-Shot Calibration for Multi-Bit Switching
AAAI 2026
Multimodal Mixture-of-Experts with Retrieval Augmentation for Protein Active Site Identification
AAAI 2026
SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels
ICLR 2025
Explicit and Implicit Examinee-Question Relation Exploiting for Efficient Computerized Adaptive Testing
AAAI 2025
DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis
NIPS 2024
Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection
ICLR 2024
DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis
IJCAI 2024
PTMQ: Post-training Multi-Bit Quantization of Neural Networks
AAAI 2024
Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach
AAAI 2024
Boosting Neural Cognitive Diagnosis with Studentβs Affective State Modeling
AAAI 2024
EQ-Net: Elastic Quantization Neural Networks
ICCV 2023
Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing
NIPS 2023
Self-Supervised Graph Learning for Long-Tailed Cognitive Diagnosis
AAAI 2023
Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware Neural Network Approach
IJCAI 2022
MultiQuant: Training Once for Multi-bit Quantization of Neural Networks
IJCAI 2022