Chen, Zhitang

20 publications

NeurIPS 2025 Proximalized Preference Optimization for Diverse Feedback Types: A Decomposed Perspective on DPO Kaiyang Guo, Yinchuan Li, Zhitang Chen

ICML 2024 Sampling Is as Easy as Keeping the Consistency: Convergence Guarantee for Consistency Models Junlong Lyu, Zhitang Chen, Shoubo Feng

NeurIPS 2023 Efficient Robust Bayesian Optimization for Arbitrary Uncertain Inputs Lin Yang, Junlong Lyu, Wenlong Lyu, Zhitang Chen

IJCAI 2023 FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler (Extended Abstract) Siting Liu, Yuan Pu, Peiyu Liao, Hongzhong Wu, Rui Zhang, Zhitang Chen, Wenlong Lv, Yibo Lin, Bei Yu

AAAI 2023 Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng

CVPR 2022 Out-of-Distribution Generalization with Causal Invariant Transformations Ruoyu Wang, Mingyang Yi, Zhitang Chen, Shengyu Zhu

NeurIPS 2022 Para-CFlows: $C^k$-Universal Diffeomorphism Approximators as Superior Neural Surrogates Junlong Lyu, Zhitang Chen, Chang Feng, Wenjing Cun, Shengyu Zhu, Yanhui Geng, Zhijie Xu, Chen Yongwei

UAI 2022 Reframed GES with a Neural Conditional Dependence Measure Xinwei Shen, Shengyu Zhu, Jiji Zhang, Shoubo Hu, Zhitang Chen

JMLR 2022 Weakly Supervised Disentangled Generative Causal Representation Learning Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang

CVPR 2021 CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang

IJCAI 2021 Ordering-Based Causal Discovery with Reinforcement Learning Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang

ICLR 2020 Causal Discovery with Reinforcement Learning Shengyu Zhu, Ignavier Ng, Zhitang Chen

UAI 2019 Domain Generalization via Multidomain Discriminant Analysis Shoubo Hu, Kun Zhang, Zhitang Chen, Laiwan Chan

AISTATS 2019 Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests for Goodness of Fit Shengyu Zhu, Biao Chen, Pengfei Yang, Zhitang Chen

NeurIPS 2018 Causal Inference and Mechanism Clustering of a Mixture of Additive Noise Models Shoubo Hu, Zhitang Chen, Vahid Partovi Nia, Laiwan Chan, Yanhui Geng

ICML 2018 Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning Thomas Dietterich, George Trimponias, Zhitang Chen

ICLR 2017 Online Bayesian Transfer Learning for Sequential Data Modeling Priyank Jaini, Zhitang Chen, Pablo Carbajal, Edith Law, Laura Middleton, Kayla Regan, Mike Schaekermann, George Trimponias, James Tung, Pascal Poupart

PGM 2016 Online Algorithms for Sum-Product Networks with Continuous Variables Priyank Jaini, Abdullah Rashwan, Han Zhao, Yue Liu, Ershad Banijamali, Zhitang Chen, Pascal Poupart

AISTATS 2016 Online Relative Entropy Policy Search Using Reproducing Kernel Hilbert Space Embeddings Zhitang Chen, Pascal Poupart, Yanhui Geng

NeurIPS 2012 Causal Discovery with Scale-Mixture Model for Spatiotemporal Variance Dependencies Zhitang Chen, Kun Zhang, Laiwan Chan