Zhiyuan Wang
19 papers · 2022–2026 · 8 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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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (46) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird ποΈ Keyword Collector (90)
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(11)
Core AI
(9)
Deep Learning
(8)
Natural Language Processing
(5)
Application Areas
(5)
Learning Types Β· Machine Learning
(5)
Applications
(4)
Core Methods
(4)
Learning Types Β· Deep Learning
(4)
Optimization & Theory
(4)
Data Science & Analytics
(3)
Methods
(3)
Models
(3)
Mathematics & Optimization
(2)
Keywords
large language model
(7)
uncertainty quantification
(5)
conformal prediction
(4)
variational autoencoder
(3)
prediction set
(3)
calibration set
(2)
variational inference
(1)
domain generalization
(1)
false discovery rate
(1)
knowledge extraction
(1)
image fusion
(1)
information extraction
(1)
natural language generation
(1)
question answering
(1)
joint learning
(1)
probabilistic modeling
(1)
neural architecture search
(1)
semantic search
(1)
decision making
(1)
text annotation
(1)
Papers
COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees
AAAI 2026
Diagnosing Hidden Instabilities in Model Editing via Uncertainty Quantification
ACL 2026
MAPS: Multi-Agent Personality Shaping for Collaborative Reasoning
AAAI 2026
Neo-Classic: A Benchmark for Evaluating Linguistic-Aesthetic Reasoning in Classical Chinese Poetry
ACL 2026
GradInvDiff: Stealing Medical Privacy in Federated Learning via Diffusion-Based Gradient Inversion
MICCAI 2025
HyKGE: A Hypothesis Knowledge Graph Enhanced RAG Framework for Accurate and Reliable Medical LLMs Responses
ACL 2025
ORMind: A Cognitive-Inspired End-to-End Reasoning Framework for Operations Research
ACL 2025
PanComplex: Leveraging Complex-Valued Neural Networks for Enhanced Pansharpening
IJCAI 2025
Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models
ICLR 2025
SConU: Selective Conformal Uncertainty in Large Language Models
ACL 2025
ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees
EMNLP 2024
ITAKE: Interactive Unstructured Text Annotation and Knowledge Extraction System with LLMs and ModelOps
ACL 2024
LitePred: Transferable and Scalable Latency Prediction for Hardware-Aware Neural Architecture Search
NSDI 2024
DyCVAE: Learning Dynamic Causal Factors for Non-stationary Series Domain Generalization (Student Abstract)
AAAI 2023
Learning Dynamic Temporal Relations with Continuous Graph for Multivariate Time Series Forecasting (Student Abstract)
AAAI 2023
VecoCare: Visit Sequences-Clinical Notes Joint Learning for Diagnosis Prediction in Healthcare Data
IJCAI 2023
Large-Scale IP Usage Identification via Deep Ensemble Learning (Student Abstract)
AAAI 2022
Learning Latent Seasonal-Trend Representations for Time Series Forecasting
NeurIPS 2022
PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model
AAAI 2022