Zijing Ou
12 papers · 2019–2025 · 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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๐ฃ Hot Topic Early Bird ๐ Conference Polyglot ยท Silver ๐ Academic Marathon ยท Sprint ๐ Interdisciplinary Bridge ยท Bronze ๐บ๏ธ Taxonomy Completionist (30)
๐๏ธ
Keyword Collector
(70)
๐
Trend Setter
๐
Century Club ยท Bronze
๐ฅ
Unstoppable ยท Bronze
๐
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(7)
Core Methods
(6)
Artificial Intelligence
(5)
Models
(5)
Learning Types
(4)
Optimization & Theory
(4)
Architectures
(3)
Data Science & Analytics
(2)
Applications
(2)
Bayesian & Probabilistic
(2)
Core AI
(2)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Keywords
energy-based model
(3)
neural network
(2)
document hashing
(2)
probabilistic modeling
(2)
markov chain monte carlo
(2)
mutual information
(2)
diffusion model
(2)
reward modeling
(1)
metric learning
(1)
contrastive learning
(1)
attention mechanism
(1)
question answering
(1)
information retrieval
(1)
synthetic data generation
(1)
collaborative filtering
(1)
information bottleneck
(1)
link prediction
(1)
diffusion process
(1)
graph embedding
(1)
variational inference
(1)
Papers
Entropy-Based Decoding for Retrieval-Augmented Large Language Models
NAACL 2025
Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching
ICLR 2025
Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion
ICML 2025
Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces
NeurIPS 2024
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
NeurIPS 2023
Learning Neural Set Functions Under the Optimal Subset Oracle
NeurIPS 2022
Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management
NAACL 2021
Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval
ACL 2021
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization
EMNLP 2021
Unsupervised Hashing with Contrastive Information Bottleneck
IJCAI 2021
Embedding Dynamic Attributed Networks by Modeling the Evolution Processes
COLING 2020
ISLF: Interest Shift and Latent Factors Combination Model for Session-based Recommendation
IJCAI 2019