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Ou, Zijing
14 publications
TMLR
2026
TabRep: Training Tabular Diffusion Models with a Simple and Effective Continuous Representation
Jacob Si
,
Zijing Ou
,
Mike Qu
,
Zhengrui Xiang
,
Yingzhen Li
NeurIPS
2025
Discrete Neural Flow Samplers with Locally Equivariant Transformer
Zijing Ou
,
Ruixiang Zhang
,
Yingzhen Li
ICLR
2025
Improving Probabilistic Diffusion Models with Optimal Diagonal Covariance Matching
Zijing Ou
,
Mingtian Zhang
,
Andi Zhang
,
Tim Z. Xiao
,
Yingzhen Li
,
David Barber
ICLRW
2025
Neural Flow Samplers with Shortcut Models
Wuhao Chen
,
Zijing Ou
,
Yingzhen Li
NeurIPS
2025
Neural Mutual Information Estimation with Vector Copulas
Yanzhi Chen
,
Zijing Ou
,
Adrian Weller
,
Michael U. Gutmann
ICML
2025
Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion
Ruixiang Zhang
,
Shuangfei Zhai
,
Yizhe Zhang
,
James Thornton
,
Zijing Ou
,
Joshua M. Susskind
,
Navdeep Jaitly
ICLRW
2025
Towards Training One-Step Diffusion Models Without Distillation
Mingtian Zhang
,
Jiajun He
,
Wenlin Chen
,
Zijing Ou
,
José Miguel Hernández-Lobato
,
Bernhard Schölkopf
,
David Barber
NeurIPS
2024
Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces
Tobias Schröder
,
Zijing Ou
,
Yingzhen Li
,
Andrew Duncan
NeurIPSW
2024
Entropy-Based Decoding for Retrieval-Augmented Large Language Models
Zexuan Qiu
,
Zijing Ou
,
Bin Wu
,
Jingjing Li
,
Aiwei Liu
,
Irwin King
NeurIPS
2023
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
Tobias Schröder
,
Zijing Ou
,
Jen Lim
,
Yingzhen Li
,
Sebastian Vollmer
,
Andrew Duncan
ICMLW
2023
Training Discrete EBMs with Energy Discrepancy
Tobias Schröder
,
Zijing Ou
,
Yingzhen Li
,
Andrew B. Duncan
NeurIPS
2022
Learning Neural Set Functions Under the Optimal Subset Oracle
Zijing Ou
,
Tingyang Xu
,
Qinliang Su
,
Yingzhen Li
,
Peilin Zhao
,
Yatao Bian
IJCAI
2021
Unsupervised Hashing with Contrastive Information Bottleneck
Zexuan Qiu
,
Qinliang Su
,
Zijing Ou
,
Jianxing Yu
,
Changyou Chen
IJCAI
2019
ISLF: Interest Shift and Latent Factors Combination Model for Session-Based Recommendation
Jing Song
,
Hong Shen
,
Zijing Ou
,
Junyi Zhang
,
Teng Xiao
,
Shangsong Liang