Ruizhe Zhang
14 papers · 2021–2025 · 5 venues · across top CS/AI venues
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (38) 🌍 Conference Polyglot · Silver ⚡ Prolific Year · Productive 🌈 Renaissance Researcher (5)
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Century Club · Bronze
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Machine Learning
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Optimization & Theory · Machine Learning
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Artificial Intelligence
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Natural Language Processing
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Resources & Methods
(5)
Mathematics & Optimization
(4)
Core AI
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Optimization
(4)
Computer Science
(3)
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Optimization & Theory · Deep Learning
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Keywords
retrieval-augmented generation
(5)
large language model
(2)
quantum algorithm
(2)
link prediction
(1)
convex optimization
(1)
similarity search
(1)
neural network training
(1)
graph classification
(1)
question answering
(1)
information retrieval
(1)
semantic search
(1)
natural language understanding
(1)
neural network optimization
(1)
computational complexity
(1)
low-rank approximation
(1)
efficient computing
(1)
simulated annealing
(1)
rademacher complexity
(1)
algorithm design
(1)
text classification
(1)
Papers
HyKGE: A Hypothesis Knowledge Graph Enhanced RAG Framework for Accurate and Reliable Medical LLMs Responses
ACL 2025
KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models
AAAI 2025
Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning
ACL 2025
TC–RAG: Turing–Complete RAG’s Case study on Medical LLM Systems
ACL 2025
A General Algorithm for Solving Rank-one Matrix Sensing
AISTATS 2024
Fast Dynamic Sampling for Determinantal Point Processes
AISTATS 2024
LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models
NeurIPS 2024
Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK
JMLR 2024
RAGraph: A General Retrieval-Augmented Graph Learning Framework
NeurIPS 2024
Bypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing
NeurIPS 2023
Fast Distance Oracles for Any Symmetric Norm
NeurIPS 2022
Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants
NeurIPS 2022
Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits
NeurIPS 2022
Does Preprocessing Help Training Over-parameterized Neural Networks?
NeurIPS 2021