Xingyi Zhang

18 papers · 2022–2026 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (37) 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 🏆 Keyword Champion (2)

📈 Trend Setter 🔥 Unstoppable · Bronze ⚡ Prolific Year · Productive 💎 Century Club · Bronze 🗃️ Keyword Collector (85)

Venues

AAAI (10) IJCAI (3) ICLR (2) NeurIPS (2) ICCV (1)

Top co-authors

Haiping Ma (8) Shangshang Yang (7) Ke Xu (5) Xiaoshan Yu (5) Ziwen Wang (4) Shanshan Wang (3) Hengshu Zhu (3) Ye Tian (2) Siyu Song (2) Changqian Wang (2)

Research topics

Machine Learning (16) Deep Learning (10) Artificial Intelligence (9) Core Methods (9) Application Areas (7) Core AI (7) Learning Types (6) Architectures (5) Optimization & Theory (4) Techniques (4) Interdisciplinary (3) Education (2) Learning Paradigms (2) Social (2) Healthcare & Medicine (1)

Keywords

cognitive diagnosis (6) graph neural network (5) knowledge tracing (4) neural network (4) model quantization (3) mixed-precision quantization (3) post-training quantization (2) bit-width adaptation (2) knowledge distillation (2) contrastive learning (2) student modeling (2) model compression (2) mixed precision (2) evolutionary algorithm (2) representation learning (2) knowledge proficiency (2) collaborative filtering (1) graph classification (1) cognitive modeling (1) anomaly detection (1)

Papers

Debiased Cognitive Diagnosis: A Contrastive Counterfactual Modeling Method via Variational Autoencoder AAAI 2026 Multimodal Mixture-of-Experts with Retrieval Augmentation for Protein Active Site Identification AAAI 2026 PEOAT: Personalization-Guided Evolutionary Question Assembly for One-Shot Adaptive Testing AAAI 2026 QuEPT: Quantized Elastic Precision Transformers with One-Shot Calibration for Multi-Bit Switching AAAI 2026 UniABG: Unified Adversarial View Bridging and Graph Correspondence for Unsupervised Cross-View Geo-Localization AAAI 2026 Explicit and Implicit Examinee-Question Relation Exploiting for Efficient Computerized Adaptive Testing AAAI 2025 SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels ICLR 2025 Boosting Neural Cognitive Diagnosis with Student’s Affective State Modeling AAAI 2024 DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis IJCAI 2024 DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis NeurIPS 2024 Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach AAAI 2024 PTMQ: Post-training Multi-Bit Quantization of Neural Networks AAAI 2024 Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection ICLR 2024 EQ-Net: Elastic Quantization Neural Networks ICCV 2023 Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing NeurIPS 2023 Self-Supervised Graph Learning for Long-Tailed Cognitive Diagnosis AAAI 2023 MultiQuant: Training Once for Multi-bit Quantization of Neural Networks IJCAI 2022 Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware Neural Network Approach IJCAI 2022