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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Zeyu Zheng 0001 — Carnegie Mellon University, PA, USA (and 1 more)
- Zeyu Zheng 0002
![[0000-0001-5653-152X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-5653-152X")
— University of California Berkeley, Berkeley, CA, USA - Zeyu Zheng 0003 — Huzhou University, Huzhou, Zhejiang, China
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2020 – today
- 2026
[j9]Guangbao Zhou, Pengliang Liu, Quanle Lin, Miao Qian, Zhong Xiang, Zeyu Zheng, Lixian Liu:
Time series adaptive mode decomposition (TAMD): Method for improving forecasting accuracy in the apparel industry. Pattern Recognit. 172: 112417 (2026)- 2025
- [j8]Hailong Hu, Yaqian Li, Zeyu Zheng, Wenjun Hu, Riyang Lin, Yanlei Kang:
A traditional Chinese medicine prescription recommendation model based on contrastive pre-training and hierarchical structure network. Expert Syst. Appl. 268: 126318 (2025) - [j7]Hongwei Yin, Dongliang Zhang, Wenjun Hu, Ke Zhang, Zeyu Zheng:
Interactive dual contrastive fusion for multi-view clustering with local structure preservation. Neurocomputing 658: 131739 (2025) - [c44]Tingyu Zhu, Haoyu Liu, Ziyu Wang, Zhimin Jiang, Zeyu Zheng:
Efficient Fine-Grained Guidance for Diffusion Model Based Symbolic Music Generation. ICML 2025 - [i30]Jinghai He, Cheng Hua, Chunyang Zhou, Zeyu Zheng:
Reinforcement-Learning Portfolio Allocation with Dynamic Embedding of Market Information. CoRR abs/2501.17992 (2025) - [i29]Nanshan Jia, Chenfei Yuan, Yuhang Wu, Zeyu Zheng:
Improving LLM Interpretability and Performance via Guided Embedding Refinement for Sequential Recommendation. CoRR abs/2504.11658 (2025) - [i28]Anurag Bishnoi, Bartlomiej Kielak, Benedek Kovács, Zoltán Lóránt Nagy, Gábor Somlai, Máté Vizer, Zeyu Zheng:
The generalized trifference problem. CoRR abs/2505.07706 (2025) - [i27]Hanyu Li, Haoyu Liu, Tingyu Zhu, Tianyu Guo, Zeyu Zheng, Xiaotie Deng, Michael I. Jordan:
IDA-Bench: Evaluating LLMs on Interactive Guided Data Analysis. CoRR abs/2505.18223 (2025) - [i26]Yanqing Liu, Xianhang Li, Letian Zhang, Zirui Wang, Zeyu Zheng, Yuyin Zhou, Cihang Xie:
OpenVision 2: A Family of Generative Pretrained Visual Encoders for Multimodal Learning. CoRR abs/2509.01644 (2025) - [i25]Ran Xin, Zeyu Zheng, Yanchen Nie, Kun Yuan, Xia Xiao:
Scaling up Multi-Turn Off-Policy RL and Multi-Agent Tree Search for LLM Step-Provers. CoRR abs/2509.06493 (2025) - [i24]Congming Zheng, Jiachen Zhu, Zhuoying Ou, Yuxiang Chen, Kangning Zhang, Rong Shan, Zeyu Zheng, Mengyue Yang, Jianghao Lin, Yong Yu, Weinan Zhang:
A Survey of Process Reward Models: From Outcome Signals to Process Supervisions for Large Language Models. CoRR abs/2510.08049 (2025) - [i23]Zhaofang Qian, Hardy Chen, Zeyu Wang, Li Zhang, Zijun Wang, Xiaoke Huang, Hui Liu, Xianfeng Tang, Zeyu Zheng, Haoqin Tu, Cihang Xie, Yuyin Zhou:
Where on Earth? A Vision-Language Benchmark for Probing Model Geolocation Skills Across Scales. CoRR abs/2510.10880 (2025) - 2024
- [j6]Zhi Liu, Jiaxi Yang, Kui Chen, Tao Yang, Xiaochen Li, Bingjie Lu, Dianzheng Fu, Zeyu Zheng, Changyong Luo:
TCM-KDIF: An Information Interaction Framework Driven by Knowledge-Data and Its Clinical Application in Traditional Chinese Medicine. IEEE Internet Things J. 11(11): 20002-20014 (2024) - [c43]Clare Lyle, Zeyu Zheng, Khimya Khetarpal, Hado van Hasselt, Razvan Pascanu, James Martens, Will Dabney:
Disentangling the Causes of Plasticity Loss in Neural Networks. CoLLAs 2024: 750-783 - [c42]Daniele Calandriello, Zhaohan Daniel Guo, Rémi Munos, Mark Rowland, Yunhao Tang, Bernardo Ávila Pires, Pierre Harvey Richemond, Charline Le Lan, Michal Valko, Tianqi Liu, Rishabh Joshi, Zeyu Zheng, Bilal Piot:
Human Alignment of Large Language Models through Online Preference Optimisation. ICML 2024 - [c41]Yunhao Tang, Zhaohan Daniel Guo, Zeyu Zheng, Daniele Calandriello, Rémi Munos, Mark Rowland, Pierre Harvey Richemond, Michal Valko, Bernardo Ávila Pires, Bilal Piot:
Generalized Preference Optimization: A Unified Approach to Offline Alignment. ICML 2024 - [c40]Clare Lyle, Zeyu Zheng, Khimya Khetarpal, James Martens, Hado Philip van Hasselt, Razvan Pascanu, Will Dabney:
Normalization and effective learning rates in reinforcement learning. NeurIPS 2024 - [c39]Haoting Zhang, Jinghai He, Jingxu Xu, Jingshen Wang, Zeyu Zheng:
Enhancing Language Model with Both Human and Artificial Intelligence Feedback Data. WSC 2024: 299-310 - [c38]Haoyu Liu, Yifu Tang, Zizhao Zhang, Zeyu Zheng, Tingyu Zhu:
Large Language Model Assisted Experiment Design with Generative Human-Behavior Agents. WSC 2024: 2751-2762 - [i22]Yunhao Tang, Zhaohan Daniel Guo, Zeyu Zheng, Daniele Calandriello, Rémi Munos, Mark Rowland, Pierre Harvey Richemond, Michal Valko, Bernardo Ávila Pires, Bilal Piot:
Generalized Preference Optimization: A Unified Approach to Offline Alignment. CoRR abs/2402.05749 (2024) - [i21]Clare Lyle, Zeyu Zheng, Khimya Khetarpal, Hado van Hasselt, Razvan Pascanu, James Martens, Will Dabney:
Disentangling the Causes of Plasticity Loss in Neural Networks. CoRR abs/2402.18762 (2024) - [i20]Daniele Calandriello, Daniel Guo, Rémi Munos, Mark Rowland, Yunhao Tang, Bernardo Ávila Pires, Pierre Harvey Richemond, Charline Le Lan, Michal Valko, Tianqi Liu, Rishabh Joshi, Zeyu Zheng, Bilal Piot:
Human Alignment of Large Language Models through Online Preference Optimisation. CoRR abs/2403.08635 (2024) - [i19]Yunhao Tang, Zhaohan Daniel Guo, Zeyu Zheng, Daniele Calandriello, Yuan Cao, Eugene Tarassov, Rémi Munos, Bernardo Ávila Pires, Michal Valko, Yong Cheng, Will Dabney:
Understanding the performance gap between online and offline alignment algorithms. CoRR abs/2405.08448 (2024) - [i18]Clare Lyle, Zeyu Zheng, Khimya Khetarpal, James Martens, Hado van Hasselt, Razvan Pascanu, Will Dabney:
Normalization and effective learning rates in reinforcement learning. CoRR abs/2407.01800 (2024) - [i17]Tingyu Zhu, Haoyu Liu, Zhimin Jiang, Zeyu Zheng:
Symbolic Music Generation with Fine-grained Interactive Textural Guidance. CoRR abs/2410.08435 (2024) - [i16]Nanshan Jia, Tingyu Zhu, Haoyu Liu, Zeyu Zheng:
Structured Diffusion Models with Mixture of Gaussians as Prior Distribution. CoRR abs/2410.19149 (2024) - 2023
- [c37]Zhihao Wang, Zhao Qing, Zeyu Zheng, Zhiheng Xiong, Luyun Lai, Yu Sun:
Prediction of Empathy Induced by Synthesized Speech using Hilbert Marginal Spectrum Analysis. ICBEA 2023: 29-35 - [c36]Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Ávila Pires, Razvan Pascanu, Will Dabney:
Understanding Plasticity in Neural Networks. ICML 2023: 23190-23211 - [c35]Dilara Aykanat, Zeyu Zheng, Nian Si:
A Preliminary Study of Regularization Framework for Constructing Task-Specific Simulators. WSC 2023: 805-816 - [i15]Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Ávila Pires, Razvan Pascanu, Will Dabney:
Understanding plasticity in neural networks. CoRR abs/2303.01486 (2023) - 2022
- [b1]Zeyu Zheng:
Advances in Deep Reinforcement Learning: Intrinsic Rewards, Temporal Credit Assignment, State Representations, and Value-equivalent Models. University of Michigan, USA, 2022 - [c34]Zeyu Zheng, Risto Vuorio, Richard L. Lewis, Satinder Singh:
Adaptive Pairwise Weights for Temporal Credit Assignment. AAAI 2022: 9225-9232 - [c33]Gang Cen, Zeping Yang, Yuefeng Cen, Zeyu Zheng:
Research on the Form of "Four-Steps" Open Project Practical Teaching Activities. ICCSE (3) 2022: 11-21 - [c32]Tianyi Lin, Zeyu Zheng, Michael I. Jordan:
Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization. NeurIPS 2022 - [i14]Vivek Veeriah, Zeyu Zheng, Richard L. Lewis, Satinder Singh:
GrASP: Gradient-Based Affordance Selection for Planning. CoRR abs/2202.04772 (2022) - [i13]Tianyi Lin, Zeyu Zheng, Michael I. Jordan:
Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization. CoRR abs/2209.05045 (2022) - [i12]Nelson Vadori, Leo Ardon, Sumitra Ganesh, Thomas Spooner, Selim Amrouni, Jared Vann, Mengda Xu, Zeyu Zheng, Tucker Balch, Manuela Veloso:
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations. CoRR abs/2210.07184 (2022) - 2021
- [j5]Haozhu Wang, Zeyu Zheng, Chengang Ji, L. Jay Guo:
Automated multi-layer optical design via deep reinforcement learning. Mach. Learn. Sci. Technol. 2(2): 25013 (2021) - [j4]Ying Zang, Chunpeng Fan, Zeyu Zheng, Dongsheng Yang:
Pose estimation at night in infrared images using a lightweight multi-stage attention network. Signal Image Video Process. 15(8): 1757-1765 (2021) - [c31]Tianyi Lin, Zeyu Zheng, Elynn Y. Chen, Marco Cuturi, Michael I. Jordan:
On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification. AISTATS 2021: 262-270 - [c30]Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard L. Lewis, Satinder Singh:
Learning State Representations from Random Deep Action-conditional Predictions. NeurIPS 2021: 23679-23691 - [c29]Sojung Kim, Ben Feng, Katy Smith, Sara Masoud, Zeyu Zheng:
Instructions for Authors of Papers Using Latex. WSC 2021: 1-21 - [c28]Haoting Zhang, Jinghai He, Donglin Zhan, Zeyu Zheng:
Neural Network-Assisted Simulation Optimization with Covariates. WSC 2021: 1-12 - [c27]Tingyu Zhu, Zeyu Zheng:
Learning to Simulate Sequentially Generated Data via Neural Networks and Wasserstein Training. WSC 2021: 1-12 - [i11]Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard L. Lewis, Satinder Singh:
Learning State Representations from Random Deep Action-conditional Predictions. CoRR abs/2102.04897 (2021) - [i10]Zeyu Zheng, Risto Vuorio, Richard L. Lewis, Satinder Singh:
Pairwise Weights for Temporal Credit Assignment. CoRR abs/2102.04999 (2021) - [i9]Yufeng Zheng, Yunkai Zhang, Zeyu Zheng:
Continuous Conditional Generative Adversarial Networks (cGAN) with Generator Regularization. CoRR abs/2103.14884 (2021) - 2020
- [c26]Zeyu Zheng, Junhyuk Oh, Matteo Hessel, Zhongwen Xu, Manuel Kroiss, Hado van Hasselt, David Silver, Satinder Singh:
What Can Learned Intrinsic Rewards Capture? ICML 2020: 11436-11446 - [c25]Feng Zhu, Zeyu Zheng:
When Demands Evolve Larger and Noisier: Learning and Earning in a Growing Environment. ICML 2020: 11629-11638 - [i8]Haozhu Wang, Zeyu Zheng, Chengang Ji, L. Jay Guo:
Automated Optical Multi-layer Design via Deep Reinforcement Learning. CoRR abs/2006.11940 (2020) - [i7]Tianyi Lin, Zeyu Zheng, Elynn Y. Chen, Marco Cuturi, Michael I. Jordan:
On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification. CoRR abs/2006.12301 (2020) - [i6]Yufeng Zheng, Zeyu Zheng:
Doubly Stochastic Generative Arrivals Modeling. CoRR abs/2012.13940 (2020)
2010 – 2019
- 2019
- [c24]Nan Yang, Zeyu Zheng, Tianran Wang:
Model Loss and Distribution Analysis of Regression Problems in Machine Learning. ICMLC 2019: 1-5 - [c23]Qingfeng Yao, Tianji Yang, Zhi Liu, Zeyu Zheng:
Remaining Useful Life Estimation by Empirical Mode Decomposition and Ensemble Deep Convolution Neural Networks. ICPHM 2019: 1-6 - [c22]Yu An, Zeyu Zheng:
Heterogeneous Assets Market Design. WSC 2019: 974-983 - [i5]Qixuan Zhang, Bowen Xu, Haotian Jing, Zeyu Zheng:
Ques-Chain: an Ethereum Based E-Voting System. CoRR abs/1905.05041 (2019) - [i4]Zeyu Zheng, Junhyuk Oh, Matteo Hessel, Zhongwen Xu, Manuel Kroiss, Hado van Hasselt, David Silver, Satinder Singh:
What Can Learned Intrinsic Rewards Capture? CoRR abs/1912.05500 (2019) - 2018
- [c21]Hui Chen, Zeyu Zheng, Qiurui Chen, Lanjiang Yang, Xingnan Chen, Shijue Zheng:
The Application Research of AlphaGo Double Decision System in Network Bad Information Recognition. ICIC (3) 2018: 284-295 - [c20]Zeyu Zheng, Junhyuk Oh, Satinder Singh:
On Learning Intrinsic Rewards for Policy Gradient Methods. NeurIPS 2018: 4649-4659 - [c19]Xiaocheng Li, Xiaowei Zhang, Zeyu Zheng:
Data-Driven Ranking and Selection: High-dimensional covariates and General Dependence. WSC 2018: 1933-1944 - [c18]Haojun Huo, Xiaowei Zhang, Zeyu Zheng:
A Scalable Approach to Enhancing stochastic Kriging with Gradients. WSC 2018: 2213-2224 - [i3]Zeyu Zheng, Junhyuk Oh, Satinder Singh:
On Learning Intrinsic Rewards for Policy Gradient Methods. CoRR abs/1804.06459 (2018) - 2017
- [c17]Zeyu Zheng, Karen Ruggiero:
Using machine learning to predict obesity in high school students. BIBM 2017: 2132-2138 - [c16]Wenfei Fan, Jingbo Xu, Yinghui Wu, Wenyuan Yu, Jiaxin Jiang, Zeyu Zheng, Bohan Zhang, Yang Cao, Chao Tian:
Parallelizing Sequential Graph Computations. SIGMOD Conference 2017: 495-510 - [c15]Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing:
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. USENIX ATC 2017: 181-193 - [i2]Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing:
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. CoRR abs/1706.03292 (2017) - 2016
- [c14]Xi Chen, Jianwei Li, Zeyu Zheng, Tianran Wang:
Degree of Integration into Social Networks (DISN) Evaluation Model Based on Micro-Blogging Platforms and Information Dissemination Prediction. CIT 2016: 172-176 - 2014
- [j3]Zeyu Zheng, Jinfan Wang, Jing Ren, Weigang Hou, Jianping Wang:
Least Maintenance Batch Scheduling in Cloud Data Center Networks. IEEE Commun. Lett. 18(6): 901-904 (2014) - 2013
- [j2]Weigang Hou, Lei Guo, Zeyu Zheng, Xu Zhang:
Green Grooming in a More Realistic and Multidomain Optical Network. JOCN 5(8): 858-869 (2013) - [c13]Miaomiao Wen, Zeyu Zheng, Hyeju Jang, Guang Xiang, Carolyn Penstein Rosé:
Extracting Events with Informal Temporal References in Personal Histories in Online Communities. ACL (2) 2013: 836-842 - [c12]Weigang Hou, Lei Guo, Zeyu Zheng:
On routing and aggregation of many-to-many sessions over green WDM optical networks. ICC 2013: 3830-3834 - [c11]Zeyu Zheng, Minming Li, Xun Xiao, Jianping Wang:
Coordinated resource provisioning and maintenance scheduling in cloud data centers. INFOCOM 2013: 345-349 - 2012
- [j1]Zeyu Zheng, Shengli Fu, Kejie Lu, Jianping Wang, Biao Chen:
On the relay selection for cooperative wireless networks with physical-layer network coding. Wirel. Networks 18(6): 653-665 (2012) - [c10]Guang Xiang, Zeyu Zheng, Miaomiao Wen, Jason I. Hong, Carolyn Penstein Rosé, Chao Liu:
A Supervised Approach to Predict Company Acquisition with Factual and Topic Features Using Profiles and News Articles on TechCrunch. ICWSM 2012 - [c9]Ranjitha Gurunath Kulkarni, Gaurav Trivedi, Tushar Suresh, Miaomiao Wen, Zeyu Zheng, Carolyn P. Rosé:
Supporting collaboration in Wikipedia between language communities. ICIC 2012: 47-56 - [i1]Xiumin Wang, Jianping Wang, Zeyu Zheng, Yinlong Xu, Mei Yang:
Service Composition in Service-Oriented Wireless Sensor Networks with Persistent Queries. CoRR abs/1202.3254 (2012) - 2010
- [c8]Shifang Dai, Zeyu Zheng, Jianping Wang, Xinming Zhang:
Wavelength Assignment Scheme of ONUs in Hybrid TDM/WDM Fiber-Wireless Networks. ICC 2010: 1-5 - [c7]Zeyu Zheng, Jun Yan, Shuicheng Yan, Ning Liu, Zheng Chen, Ming Zhang:
A Novel Contrast Co-learning Framework for Generating High Quality Training Data. ICDM 2010: 649-658 - [c6]Jun Yan, Zeyu Zheng, Li Jiang, Yan Li, Shuicheng Yan, Zheng Chen:
A co-learning framework for learning user search intents from rule-generated training data. SIGIR 2010: 895-896
2000 – 2009
- 2009
- [c5]Xiumin Wang, Jianping Wang, Zeyu Zheng, Yinlong Xu, Mei Yang:
Service Composition in Service-Oriented Wireless Sensor Networks with Persistent Queries. CCNC 2009: 1-5 - [c4]Zeyu Zheng, Jianping Wang, Xiumin Wang:
ONU Placement in Fiber-Wireless (FiWi) Networks Considering Peer-to-Peer Communications. GLOBECOM 2009: 1-7 - [c3]Zeyu Zheng, Jianping Wang, Jin Wang:
A Study of Network Throughput Gain in Optical-Wireless (FiWi) Networks Subject to Peer-to-Peer Communications. ICC 2009: 1-6 - [c2]Qin Xin, Fredrik Manne, Yan Zhang, Jianping Wang, Zeyu Zheng:
Almost Optimal Distributed M2M Multicasting in Wireless Mesh Networks. MASS 2009: 120-129 - 2006
- [c1]Zeyu Zheng, Ping Zhang:
A Natural Language Model of Computing with Words in Web Pages. PACLIC 2006
Coauthor Index
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