Zijing Ou

41 papers A* 8A 2B 1Journal 26Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Diffusion Alignment Beyond KL: Variance Minimisation as Effective Policy Optimiser.
CoRR
Zijing Ou, Jacob Si, Junyi Zhu, Ondrej Bohdal, Mete Ozay, Taha Ceritli, Yingzhen Li
2026 J jnl
TabRep: Training Tabular Diffusion Models with a Simple and Effective Continuous Representation.
Trans. Mach. Learn. Res.
Jacob Si, Zijing Ou, Mike Qu, Zhengrui Xiang, Yingzhen Li
2025 J jnl
Discrete Neural Flow Samplers with Locally Equivariant Transformer.
CoRR
Zijing Ou, Ruixiang Zhang, Yingzhen Li
2025 — conf
Entropy-Based Decoding for Retrieval-Augmented Large Language Models.
NAACL (Long Papers)
Zexuan Qiu, Zijing Ou, Bin Wu, Jingjing Li, Aiwei Liu, Irwin King
2025 A* conf
Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching.
ICLR
Zijing Ou, Mingtian Zhang, Andi Zhang, Tim Z. Xiao, Yingzhen Li, David Barber
2025 J jnl
Memory-Driven Self-Improvement for Decision Making with Large Language Models.
CoRR
Xue Yan, Zijing Ou, Mengyue Yang, Yan Song, Haifeng Zhang, Yingzhen Li, Jun Wang
2025 J jnl
Neural Flow Samplers with Shortcut Models.
CoRR
Wuhao Chen, Zijing Ou, Yingzhen Li
2025 J jnl
Neural Mutual Information Estimation with Vector Copulas.
CoRR
Yanzhi Chen, Zijing Ou, Adrian Weller, Michael U. Gutmann
2025 J jnl
TabRep: Training Tabular Diffusion Models with a Simple and Effective Continuous Representation.
CoRR
Jacob Si, Zijing Ou, Mike Qu, Zhengrui Xiang, Yingzhen Li
2025 A* conf
Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion.
ICML
Ruixiang Zhang, Shuangfei Zhai, Yizhe Zhang, James Thornton, Zijing Ou, Joshua M. Susskind, Navdeep Jaitly
2025 J jnl
Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion.
CoRR
Ruixiang Zhang, Shuangfei Zhai, Yizhe Zhang, James Thornton, Zijing Ou, Joshua M. Susskind, Navdeep Jaitly
2025 J jnl
Test-Time Alignment of Discrete Diffusion Models with Sequential Monte Carlo.
CoRR
Chinmay Pani, Zijing Ou, Yingzhen Li
2025 J jnl
Towards Training One-Step Diffusion Models Without Distillation.
CoRR
Mingtian Zhang, Jiajun He, Wenlin Chen, Zijing Ou, José Miguel Hernández-Lobato, Bernhard Schölkopf, David Barber
2025 J jnl
VarDiU: A Variational Diffusive Upper Bound for One-Step Diffusion Distillation.
CoRR
Leyang Wang, Mingtian Zhang, Zijing Ou, David Barber
2024 J jnl
Diffusion Model With Optimal Covariance Matching.
CoRR
Zijing Ou, Mingtian Zhang, Andi Zhang, Tim Z. Xiao, Yingzhen Li, David Barber
2024 A* conf
Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces.
NeurIPS
Tobias Schröder, Zijing Ou, Yingzhen Li, Andrew B. Duncan
2024 J jnl
Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces.
CoRR
Tobias Schröder, Zijing Ou, Yingzhen Li, Andrew B. Duncan
2024 J jnl
Entropy-Based Decoding for Retrieval-Augmented Large Language Models.
CoRR
Zexuan Qiu, Zijing Ou, Bin Wu, Jingjing Li, Aiwei Liu, Irwin King
2024 J jnl
Mutual Information Multinomial Estimation.
CoRR
Yanzhi Chen, Zijing Ou, Adrian Weller, Yingzhen Li
2023 A* conf
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models.
NeurIPS
Tobias Schröder, Zijing Ou, Jen Lim, Yingzhen Li, Sebastian J. Vollmer, Andrew B. Duncan
2023 J jnl
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models.
CoRR
Tobias Schröder, Zijing Ou, Jen Ning Lim, Yingzhen Li, Sebastian J. Vollmer, Andrew B. Duncan
2023 J jnl
Training Discrete Energy-Based Models with Energy Discrepancy.
CoRR
Tobias Schröder, Zijing Ou, Yingzhen Li, Andrew B. Duncan
2022 A* conf
Learning Neural Set Functions Under the Optimal Subset Oracle.
NeurIPS
Zijing Ou, Tingyang Xu, Qinliang Su, Yingzhen Li, Peilin Zhao, Yatao Bian
2022 J jnl
Learning Set Functions Under the Optimal Subset Oracle via Equivariant Variational Inference.
CoRR
Zijing Ou, Tingyang Xu, Qinliang Su, Yingzhen Li, Peilin Zhao, Yatao Bian
2022 A conf
MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction.
CIKM
Wangjie Jiang, Zhihao Ye, Zijing Ou, Ruihui Zhao, Jianguang Zheng, Yi Liu, Bang Liu, Siheng Li, Yujiu Yang, Yefeng Zheng
2022 J jnl
MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction.
CoRR
Wangjie Jiang, Zhihao Ye, Zijing Ou, Ruihui Zhao, Jianguang Zheng, Yi Liu, Siheng Li, Bang Liu, Yujiu Yang, Yefeng Zheng
2022 J jnl
Modeling Semantic Composition with Syntactic Hypergraph for Video Question Answering.
CoRR
Zenan Xu, Wanjun Zhong, Qinliang Su, Zijing Ou, Fuwei Zhang
2022 A* conf
Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation.
ICDE
Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenghua Lin, Yefeng Zheng, Bang Liu
2021 — conf
Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management.
NAACL-HLT
Zhengxu Hou, Bang Liu, Ruihui Zhao, Zijing Ou, Yafei Liu, Xi Chen, Yefeng Zheng
2021 J jnl
Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management.
CoRR
Zhengxu Hou, Bang Liu, Ruihui Zhao, Zijing Ou, Yafei Liu, Xi Chen, Yefeng Zheng
2021 — conf
Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval.
ACL/IJCNLP (1)
Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen, Yefeng Zheng
2021 J jnl
Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval.
CoRR
Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen, Yefeng Zheng
2021 A conf
Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network.
WSDM
Yuanzhen Xie, Zijing Ou, Liang Chen, Yang Liu, Kun Xu, Carl Yang, Zibin Zheng
2021 — conf
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization.
EMNLP (Findings)
Zijing Ou, Qinliang Su, Jianxing Yu, Ruihui Zhao, Yefeng Zheng, Bang Liu
2021 J jnl
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization.
CoRR
Zijing Ou, Qinliang Su, Jianxing Yu, Ruihui Zhao, Yefeng Zheng, Bang Liu
2021 J jnl
Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation.
CoRR
Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenghua Lin, Yefeng Zheng, Bang Liu
2021 A* conf
Unsupervised Hashing with Contrastive Information Bottleneck.
IJCAI
Zexuan Qiu, Qinliang Su, Zijing Ou, Jianxing Yu, Changyou Chen
2021 J jnl
Unsupervised Hashing with Contrastive Information Bottleneck.
CoRR
Zexuan Qiu, Qinliang Su, Zijing Ou, Jianxing Yu, Changyou Chen
2020 B conf
Embedding Dynamic Attributed Networks by Modeling the Evolution Processes.
COLING
Zenan Xu, Zijing Ou, Qinliang Su, Jianxing Yu, Xiaojun Quan, Zhenkun Lin
2020 J jnl
Embedding Dynamic Attributed Networks by Modeling the Evolution Processes.
CoRR
Zenan Xu, Zijing Ou, Qinliang Su, Jianxing Yu, Xiaojun Quan, Zhenkun Lin
2019 A* conf
ISLF: Interest Shift and Latent Factors Combination Model for Session-based Recommendation.
IJCAI
Jing Song, Hong Shen, Zijing Ou, Junyi Zhang, Teng Xiao, Shangsong Liang