Zhitang Chen - RankMe

95 papers A* 16A 11B 3Misc 1Journal 54Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	A²Flow: Automating Agentic Workflow Generation via Self-Adaptive Abstraction Operators. AAAI Mingming Zhao, Xiaokang Wei, Yuanqi Shao, Kaiwen Zhou, Lin Yang, Siwei Rao, Junhui Zhan, Zhitang Chen
2026	A*	`conf`	Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation. AAAI Haoyu Lei, Kaiwen Zhou, Yinchuan Li, Zhitang Chen, Farzan Farnia
2025	J	`jnl`	A CoRR Mingming Zhao, Xiaokang Wei, Yuanqi Shao, Kaiwen Zhou, Lin Yang, Siwei Rao, Junhui Zhan, Zhitang Chen
2025	J	`jnl`	Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Energy-guided Sampling. CoRR Haoyu Lei, Kaiwen Zhou, Yinchuan Li, Zhitang Chen, Farzan Farnia
2025	J	`jnl`	Cooperative Multi-Model Training for Personalized Federated Learning Over Heterogeneous Devices. IEEE J. Sel. Top. Signal Process. Jian Xu, Shuo Wan, Yinchuan Li, Sichun Luo, Zhilin Chen, Yunfeng Shao, Zhitang Chen, Shao-Lun Huang, Linqi Song
2025	J	`jnl`	Generative Models in Decision Making: A Survey. CoRR Yinchuan Li, Xinyu Shao, Jianping Zhang, Haozhi Wang, Leo Maxime Brunswic, Kaiwen Zhou, Jiqian Dong, Kaiyang Guo, Xiu Li, Zhitang Chen, Jun Wang, Jianye Hao
2025	J	`jnl`	Learning Design-Score Manifold to Guide Diffusion Models for Offline Optimization. CoRR Tailin Zhou, Zhilin Chen, Wenlong Lyu, Zhitang Chen, Danny H. K. Tsang, Jun Zhang
2025	J	`jnl`	Proximalized Preference Optimization for Diverse Feedback Types: A Decomposed Perspective on DPO. CoRR Kaiyang Guo, Yinchuan Li, Zhitang Chen
2024	J	`jnl`	Causal Coordinated Concurrent Reinforcement Learning. CoRR Tim Tse, Isaac Chan, Zhitang Chen
2024	J	`jnl`	Causal Discovery by Kernel Deviance Measures with Heterogeneous Transforms. CoRR Tim Tse, Zhitang Chen, Shengyu Zhu, Yue Liu
2024	J	`jnl`	On Low-Rank Directed Acyclic Graphs and Causal Structure Learning. IEEE Trans. Neural Networks Learn. Syst. Zhuangyan Fang, Shengyu Zhu, Jiji Zhang, Yue Liu, Zhitang Chen, Yangbo He
2024	A*	`conf`	Sampling is as easy as keeping the consistency: convergence guarantee for Consistency Models. ICML Junlong Lyu, Zhitang Chen, Shoubo Feng
2023	Misc	`conf`	A Novel Extrapolation Technique to Accelerate WMMSE. ICASSP Kaiwen Zhou, Zhilin Chen, Guochen Liu, Zhitang Chen
2023	J	`jnl`	A Unified Framework for Layout Pattern Analysis With Deep Causal Estimation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Ran Chen, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Bei Yu, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao
2023	J	`jnl`	Contrastive-ACE: Domain Generalization Through Alignment of Causal Mechanisms. IEEE Trans. Image Process. Yunqi Wang, Furui Liu, Zhitang Chen, Yik-Chung Wu, Jianye Hao, Guangyong Chen, Pheng-Ann Heng
2023	J	`jnl`	Convergence guarantee for consistency models. CoRR Junlong Lyu, Zhitang Chen, Shoubo Feng
2023	J	`jnl`	Efficient Bayesian Optimization with Deep Kernel Learning and Transformer Pre-trained on Multiple Heterogeneous Datasets. CoRR Wenlong Lyu, Shoubo Hu, Jie Chuai, Zhitang Chen
2023	A*	`conf`	Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs. NeurIPS Lin Yang, Junlong Lyu, Wenlong Lyu, Zhitang Chen
2023	J	`jnl`	Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs. CoRR Lin Yang, Junlong Lyu, Wenlong Lyu, Zhitang Chen
2023	J	`jnl`	FastGR: Global Routing on CPU-GPU With Heterogeneous Task Graph Scheduler. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Siting Liu, Yuan Pu, Peiyu Liao, Hongzhong Wu, Rui Zhang, Zhitang Chen, Wenlong Lv, Yibo Lin, Bei Yu
2023	A*	`conf`	FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler (Extended Abstract). IJCAI Siting Liu, Yuan Pu, Peiyu Liao, Hongzhong Wu, Rui Zhang, Zhitang Chen, Wenlong Lv, Yibo Lin, Bei Yu
2023	A*	`conf`	Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network. AAAI Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng
2023	J	`jnl`	Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network. CoRR Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng
2023	J	`jnl`	Reweighted Interacting Langevin Diffusions: an Accelerated Sampling Methodfor Optimization. CoRR Junlong Lyu, Zhitang Chen, Wenlong Lyu, Jianye Hao
2022	A	`conf`	Batch Sequential Black-Box Optimization with Embedding Alignment Cells for Logic Synthesis. ICCAD Chang Feng, Wenlong Lyu, Zhitang Chen, Junjie Ye, Mingxuan Yuan, Jianye Hao
2022	A	`conf`	DREAMPlace 4.0: Timing-driven Global Placement with Momentum-based Net Weighting. DATE Peiyu Liao, Siting Liu, Zhitang Chen, Wenlong Lv, Yibo Lin, Bei Yu
2022	A	`conf`	FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler. DATE Siting Liu, Peiyu Liao, Rui Zhang, Zhitang Chen, Wenlong Lv, Yibo Lin, Bei Yu
2022	J	`jnl`	Generalizable Information Theoretic Causal Representation. CoRR Mengyue Yang, Xinyu Cai, Furui Liu, Xu Chen, Zhitang Chen, Jianye Hao, Jun Wang
2022	—	`conf`	GraphHO: A Graph-based Handover Optimization System for Cellular Networks. ISWCS Lin Yang, Min Cheng, Jun Qu, Zhitang Chen
2022	A	`conf`	Masked Gradient-Based Causal Structure Learning. SDM Ignavier Ng, Shengyu Zhu, Zhuangyan Fang, Haoyang Li, Zhitang Chen, Jun Wang
2022	A*	`conf`	Out-of-distribution Generalization with Causal Invariant Transformations. CVPR Ruoyu Wang, Mingyang Yi, Zhitang Chen, Shengyu Zhu
2022	J	`jnl`	Out-of-distribution Generalization with Causal Invariant Transformations. CoRR Ruoyu Wang, Mingyang Yi, Zhitang Chen, Shengyu Zhu
2022	A*	`conf`	Para-CFlows: $C^k$-universal diffeomorphism approximators as superior neural surrogates. NeurIPS Junlong Lyu, Zhitang Chen, Chang Feng, Wenjing Cun, Shengyu Zhu, Yanhui Geng, Zhijie Xu, Chen Yongwei
2022	A	`conf`	RCANet: Root Cause Analysis via Latent Variable Interaction Modeling for Yield Improvement. ITC Xiaopeng Zhang, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Evangeline F. Y. Young, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao
2022	J	`jnl`	Reframed GES with a Neural Conditional Dependence Measure. CoRR Xinwei Shen, Shengyu Zhu, Jiji Zhang, Shoubo Hu, Zhitang Chen
2022	A	`conf`	Reframed GES with a neural conditional dependence measure. UAI Xinwei Shen, Shengyu Zhu, Jiji Zhang, Shoubo Hu, Zhitang Chen
2022	J	`jnl`	Universality of parametric Coupling Flows over parametric diffeomorphisms. CoRR Junlong Lyu, Zhitang Chen, Chang Feng, Wenjing Cun, Shengyu Zhu, Yanhui Geng, Zhijie Xu, Yongwei Chen
2022	J	`jnl`	Weakly Supervised Disentangled Generative Causal Representation Learning. J. Mach. Learn. Res. Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang
2021	A	`conf`	A Unified Framework for Layout Pattern Analysis with Deep Causal Estimation. ICCAD Ran Chen, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Bei Yu, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao
2021	J	`jnl`	Asymptotically Optimal One- and Two-Sample Testing With Kernels. IEEE Trans. Inf. Theory Shengyu Zhu, Biao Chen, Zhitang Chen, Pengfei Yang
2021	A*	`conf`	CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models. CVPR Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang
2021	J	`jnl`	Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms. CoRR Yunqi Wang, Furui Liu, Zhitang Chen, Qing Lian, Shoubo Hu, Jianye Hao, Yik-Chung Wu
2021	J	`jnl`	High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning. CoRR Antoine Grosnit, Rasul Tutunov, Alexandre Max Maraval, Ryan-Rhys Griffiths, Alexander I. Cowen-Rivers, Lin Yang, Lin Zhu, Wenlong Lyu, Zhitang Chen, Jun Wang, Jan Peters, Haitham Bou-Ammar
2021	J	`jnl`	Learning to Construct Nested Polar Codes: An Attention-Based Set-to-Element Model. IEEE Commun. Lett. Yang Li, Zhitang Chen, Guochen Liu, Yik-Chung Wu, Kai-Kit Wong
2021	A*	`conf`	Ordering-Based Causal Discovery with Reinforcement Learning. IJCAI Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang
2021	J	`jnl`	Ordering-Based Causal Discovery with Reinforcement Learning. CoRR Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang
2021	J	`jnl`	Physics Constrained Flow Neural Network for Short-Timescale Predictions in Data Communications Networks. CoRR Xiangle Cheng, James He, Shihan Xiao, Yingxue Zhang, Zhitang Chen, Pascal Poupart, Fenglin Li
2021	J	`jnl`	gCastle: A Python Toolbox for Causal Discovery. CoRR Keli Zhang, Shengyu Zhu, Marcus Kalander, Ignavier Ng, Junjian Ye, Zhitang Chen, Lujia Pan
2020	A*	`conf`	Causal Discovery with Reinforcement Learning. ICLR Shengyu Zhu, Ignavier Ng, Zhitang Chen
2020	J	`jnl`	Causal World Models by Unsupervised Deconfounding of Physical Dynamics. CoRR Minne Li, Mengyue Yang, Furui Liu, Xu Chen, Zhitang Chen, Jun Wang
2020	J	`jnl`	CausalVAE: Structured Causal Disentanglement in Variational Autoencoder. CoRR Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang
2020	J	`jnl`	Clustering Causal Additive Noise Models. CoRR Vahid Partovi Nia, Xinlin Li, Masoud Asgharian, Shoubo Hu, Zhitang Chen, Yanhui Geng
2020	J	`jnl`	Decoder-free Robustness Disentanglement without (Additional) Supervision. CoRR Yifei Wang, Dan Peng, Furui Liu, Zhenguo Li, Zhitang Chen, Jiansheng Yang
2020	J	`jnl`	Discriminative training of feed-forward and recurrent sum-product networks by extended Baum-Welch. Int. J. Approx. Reason. Haonan Duan, Abdullah Rashwan, Pascal Poupart, Zhitang Chen
2020	J	`jnl`	Disentangled Generative Causal Representation Learning. CoRR Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang
2020	J	`jnl`	Low Rank Directed Acyclic Graphs and Causal Structure Learning. CoRR Zhuangyan Fang, Shengyu Zhu, Jiji Zhang, Yue Liu, Zhitang Chen, Yangbo He
2020	A*	`conf`	Stable Learning via Differentiated Variable Decorrelation. KDD Zheyan Shen, Peng Cui, Jiashuo Liu, Tong Zhang, Bo Li, Zhitang Chen
2019	A*	`conf`	A Collaborative Learning Based Approach for Parameter Configuration of Cellular Networks. INFOCOM Jie Chuai, Zhitang Chen, Guochen Liu, Xueying Guo, Xiaoxiao Wang, Xin Liu, Chongming Zhu, Feiyi Shen
2019	J	`jnl`	A Graph Autoencoder Approach to Causal Structure Learning. CoRR Ignavier Ng, Shengyu Zhu, Zhitang Chen, Zhuangyan Fang
2019	J	`jnl`	Asymptotically Optimal One- and Two-Sample Testing with Kernels. CoRR Shengyu Zhu, Biao Chen, Zhitang Chen, Pengfei Yang
2019	J	`jnl`	Causal Discovery by Kernel Intrinsic Invariance Measure. CoRR Zhitang Chen, Shengyu Zhu, Yue Liu, Tim Tse
2019	J	`jnl`	Causal Discovery with Reinforcement Learning. CoRR Shengyu Zhu, Zhitang Chen
2019	A	`conf`	Domain Generalization via Multidomain Discriminant Analysis. UAI Shoubo Hu, Kun Zhang, Zhitang Chen, Laiwan Chan
2019	J	`jnl`	Domain Generalization via Multidomain Discriminant Analysis. CoRR Shoubo Hu, Kun Zhang, Zhitang Chen, Laiwan Chan
2019	—	`conf`	Kernel-based Multi-Task Contextual Bandits in Cellular Network Configuration. IEEE BigData Xiaoxiao Wang, Xueying Guo, Jie Chuai, Zhitang Chen, Xin Liu
2019	J	`jnl`	Masked Gradient-Based Causal Structure Learning. CoRR Ignavier Ng, Zhuangyan Fang, Shengyu Zhu, Zhitang Chen
2019	J	`jnl`	Model-free inference of diffusion networks using RKHS embeddings. Data Min. Knowl. Discov. Shoubo Hu, Bogdan Cautis, Zhitang Chen, Laiwan Chan, Yanhui Geng, Xiuqiang He
2019	J	`jnl`	Recognizing Motor Imagery Between Hand and Forearm in the Same Limb in a Hybrid Brain Computer Interface Paradigm: An Online Study. IEEE Access Zhitang Chen, Zhongpeng Wang, Kun Wang, Weibo Yi, Hongzhi Qi
2019	A	`conf`	Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests for Goodness of Fit. AISTATS Shengyu Zhu, Biao Chen, Pengfei Yang, Zhitang Chen
2018	—	`conf`	A Hybrid Brain Computer Interface Driven by Motor Imagery of Right Hand Versus Right Forearm. iCAST Zhitang Chen, Xin Zhao, Zhongpeng Wang, Kun Wang, Weibo Yi, Feng He, Hongzhi Qi
2018	J	`jnl`	A Kernel Embedding-Based Approach for Nonstationary Causal Model Inference. Neural Comput. Shoubo Hu, Zhitang Chen, Laiwan Chan
2018	J	`jnl`	A Kernel Embedding-based Approach for Nonstationary Causal Model Inference. CoRR Shoubo Hu, Zhitang Chen, Laiwan Chan
2018	A*	`conf`	Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models. NeurIPS Shoubo Hu, Zhitang Chen, Vahid Partovi Nia, Lai-Wan Chan, Yanhui Geng
2018	J	`jnl`	Causal Inference and Mechanism Clustering of a Mixture of Additive Noise Models. CoRR Shoubo Hu, Zhitang Chen, Vahid Partovi Nia, Laiwan Chan, Yanhui Geng
2018	A*	`conf`	Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning. ICML Thomas G. Dietterich, George Trimponias, Zhitang Chen
2018	J	`jnl`	Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning. CoRR Thomas G. Dietterich, George Trimponias, Zhitang Chen
2018	—	`conf`	Discriminative Training of Sum-Product Networks by Extended Baum-Welch. PGM Abdullah Rashwan, Pascal Poupart, Zhitang Chen
2018	J	`jnl`	Exponentially Consistent Kernel Two-Sample Tests. CoRR Shengyu Zhu, Biao Chen, Zhitang Chen
2018	A	`conf`	Faster Policy Adaptation in Environments with Exogeneity: A State Augmentation Approach. AAMAS Zhuoshu Li, Zhitang Chen, Pascal Poupart, Sanmay Das, Yanhui Geng
2018	J	`jnl`	Kernel-based Multi-Task Contextual Bandits in Cellular Network Configuration. CoRR Xiaoxiao Wang, Xueying Guo, Jie Chuai, Zhitang Chen, Xin Liu
2018	J	`jnl`	Learning-Based Joint Configuration for Cellular Networks. IEEE Internet Things J. Xueying Guo, George Trimponias, Xiaoxiao Wang, Zhitang Chen, Yanhui Geng, Xin Liu
2018	J	`jnl`	Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests for Goodness of Fit. CoRR Shengyu Zhu, Biao Chen, Pengfei Yang, Zhitang Chen
2017	—	`conf`	Cellular network configuration via online learning and joint optimization. IEEE BigData Xueying Guo, George Trimponias, Xiaoxiao Wang, Zhitang Chen, Yanhui Geng, Xin Liu
2017	—	`conf`	Online Bayesian Transfer Learning for Sequential Data Modeling. ICLR (Poster) Priyank Jaini, Zhitang Chen, Pablo Carbajal, Edith Law, Laura Middleton, Kayla Regan, Mike Schaekermann, George Trimponias, James Tung, Pascal Poupart
2017	—	`conf`	Seq2Img: A sequence-to-image based approach towards IP traffic classification using convolutional neural networks. IEEE BigData Zhitang Chen, Ke He, Jian Li, Yanhui Geng
2016	—	`conf`	Online Algorithms for Sum-Product Networks with Continuous Variables. Probabilistic Graphical Models Priyank Jaini, Abdullah Rashwan, Han Zhao, Yue Liu, Ershad Banijamali, Zhitang Chen, Pascal Poupart
2016	A	`conf`	Online Relative Entropy Policy Search using Reproducing Kernel Hilbert Space Embeddings. AISTATS Zhitang Chen, Pascal Poupart, Yanhui Geng
2016	B	`conf`	Online flow size prediction for improved network routing. ICNP Pascal Poupart, Zhitang Chen, Priyank Jaini, Fred Fung, Hengky Susanto, Yanhui Geng, Li Chen, Kai Chen, Hao Jin
2016	B	`conf`	Predicting future traffic using Hidden Markov Models. ICNP Zhitang Chen, Jiayao Wen, Yanhui Geng
2014	J	`jnl`	Causal Discovery via Reproducing Kernel Hilbert Space Embeddings. Neural Comput. Zhitang Chen, Kun Zhang, Laiwan Chan, Bernhard Schölkopf
2013	J	`jnl`	Causality in Linear Nongaussian Acyclic Models in the Presence of Latent Gaussian Confounders. Neural Comput. Zhitang Chen, Laiwan Chan
2013	A*	`conf`	Nonlinear Causal Discovery for High Dimensional Data: A Kernelized Trace Method. ICDM Zhitang Chen, Kun Zhang, Laiwan Chan
2012	—	`conf`	Causal Discovery for Linear Non-Gaussian Acyclic Models in the Presence of Latent Gaussian Confounders. LVA/ICA Zhitang Chen, Laiwan Chan
2012	—	`conf`	Causal discovery with scale-mixture model for spatiotemporal variance dependencies. NIPS Zhitang Chen, Kun Zhang, Laiwan Chan
2011	B	`conf`	New approaches for solving permutation indeterminacy and scaling ambiguity in frequency domain separation of convolved mixtures. IJCNN Zhitang Chen, Laiwan Chan