Zeyu Zheng - RankMe

105 papers A* 15A 2B 2C 2Misc 10Journal 59Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Energy-Efficient Edge Coprocessor for Neural Rendering With Explicit Data Reuse Strategies. IEEE Trans. Very Large Scale Integr. Syst. Binzhe Yuan, Xiangyu Zhang, Zeyu Zheng, Yuefeng Zhang, Haochuan Wan, Zhechen Yuan, Junsheng Chen, Yunxiang He, Junran Ding, Xiaoming Zhang, Chaolin Rao, Wenyan Su, Pingqiang Zhou, Jingyi Yu, Xin Lou
2026	J	`jnl`	An integrated IoT and blockchain lightweight framework for secure smart cities. Discov. Internet Things Kai Guo, Chengyuan Zhan, Muqing Niu, Xiang Li, Zeyu Zheng, Ashutosh Sharma
2026	J	`jnl`	Dual-Modality Multi-Stage Adversarial Safety Training: Robustifying Multimodal Web Agents Against Cross-Modal Attacks. CoRR Haoyu Liu, Dingcheng Li, Lukas Rutishauser, Zeyu Zheng
2026	J	`jnl`	Enhanced language models for predicting and understanding HIV care disengagement: a case study in Tanzania. npj Digit. Medicine Waverly Wei, Junzhe Shao, Rita Qiuran Lyu, Rebecca Hemono, Xinwei Ma, Joseph Giorgio, Zeyu Zheng, Feng Ji, Xiaoya Zhang, Emmanuel Katabaro, Matilda Mlowe, Amon Sabasaba, Caroline Lister, Siraji Shabani, Prosper Njau, Sandra I. McCoy, Jingshen Wang
2026	J	`jnl`	From Physician Expertise to Clinical Agents: Preserving, Standardizing, and Scaling Physicians' Medical Expertise with Lightweight LLM. CoRR Chanyong Luo, Jirui Dai, Zhendong Wang, Kui Chen, Jiaxi Yang, Bingjie Lu, Jing Wang, Jiaxin Hao, Bing Li, Ruiyang He, Yiyu Qiao, Chenkai Zhang, Kaiyu Wang, Zhi Liu, Zeyu Zheng, Yan Li, Xiaohong Gu
2026	A*	`conf`	Guiding Generative Recommender Systems with Structured Human Priors via Multi-head Decoding. WWW Yunkai Zhang, Qiang Zhang, Diji Yang, Ryan Lin, Ruizhong Qiu, Benyu Zhang, Hanchao Yu, Jason Liu, Yinglong Xia, Zhuokai Zhao, Lizhu Zhang, Xiangjun Fan, Zhuoran Yu, Abhishek Kumar, Zeyu Zheng
2026	J	`jnl`	In-Context Reinforcement Learning for Tool Use in Large Language Models. CoRR Yaoqi Ye, Yiran Zhao, Keyu Duan, Zeyu Zheng, Kenji Kawaguchi, Cihang Xie, Michael Qizhe Shieh
2026	J	`jnl`	Kestrel: Grounding Self-Refinement for LVLM Hallucination Mitigation. CoRR Jiawei Mao, Hardy Chen, Haoqin Tu, Yuhan Wang, Letian Zhang, Zeyu Zheng, Huaxiu Yao, Zirui Wang, Cihang Xie, Yuyin Zhou
2026	J	`jnl`	MagicGUI-RMS: A Multi-Agent Reward Model System for Self-Evolving GUI Agents via Automated Feedback Reflux. CoRR Zecheng Li, Zhihui Cao, Wenke Huang, Yudong Zhang, Keying Qi, Rui Wang, Zeyu Zheng, Jian Zhao, Hao Zhu, Hengxin Wu, Yuran Wang, Guitao Fan, Guokun Wu, Yicong Liu, Zhilin Gao, Haikun Xu, He Yang, Minqi Xiang, Xingyu Liu, Zuojian Wang
2026	J	`jnl`	MetaClaw: Just Talk - An Agent That Meta-Learns and Evolves in the Wild. CoRR Peng Xia, Jianwen Chen, Xinyu Yang, Haoqin Tu, Jiaqi Liu, Kaiwen Xiong, Siwei Han, Shi Qiu, Haonian Ji, Yuyin Zhou, Zeyu Zheng, Cihang Xie, Huaxiu Yao
2026	J	`jnl`	OpenVision 3: A Family of Unified Visual Encoder for Both Understanding and Generation. CoRR Letian Zhang, Sucheng Ren, Yanqing Liu, Xianhang Li, Zeyu Wang, Yuyin Zhou, Huaxiu Yao, Zeyu Zheng, Weili Nie, Guilin Liu, Zhiding Yu, Cihang Xie
2026	J	`jnl`	Preventing Learning Stagnation in PPO by Scaling to 1 Million Parallel Environments. CoRR Michael Beukman, Khimya Khetarpal, Zeyu Zheng, Will Dabney, Jakob N. Foerster, Michael Dennis, Clare Lyle
2026	J	`jnl`	SimpleMem: Efficient Lifelong Memory for LLM Agents. CoRR Jiaqi Liu, Yaofeng Su, Peng Xia, Siwei Han, Zeyu Zheng, Cihang Xie, Mingyu Ding, Huaxiu Yao
2026	J	`jnl`	SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning. CoRR Peng Xia, Jianwen Chen, Hanyang Wang, Jiaqi Liu, Kaide Zeng, Yu Wang, Siwei Han, Yiyang Zhou, Xujiang Zhao, Haifeng Chen, Zeyu Zheng, Cihang Xie, Huaxiu Yao
2026	J	`jnl`	Spiral RoPE: Rotate Your Rotary Positional Embeddings in the 2D Plane. CoRR Haoyu Liu, Sucheng Ren, Tingyu Zhu, Peng Wang, Cihang Xie, Alan L. Yuille, Zeyu Zheng, Feng Wang
2026	J	`jnl`	The Generalized Trifference Problem. IEEE Trans. Inf. Theory Anurag Bishnoi, Bartlomiej Kielak, Benedek Kovács, Zoltán Lóránt Nagy, Gábor Somlai, Máté Vizer, Zeyu Zheng
2026	J	`jnl`	Time series adaptive mode decomposition (TAMD): Method for improving forecasting accuracy in the apparel industry. Pattern Recognit. Guangbao Zhou, Pengliang Liu, Quanle Lin, Miao Qian, Zhong Xiang, Zeyu Zheng, Lixian Liu
2025	J	`jnl`	A Survey of Process Reward Models: From Outcome Signals to Process Supervisions for Large Language Models. CoRR Congming Zheng, Jiachen Zhu, Zhuoying Ou, Yuxiang Chen, Kangning Zhang, Rong Shan, Zeyu Zheng, Mengyue Yang, Jianghao Lin, Yong Yu, Weinan Zhang
2025	J	`jnl`	A traditional Chinese medicine prescription recommendation model based on contrastive pre-training and hierarchical structure network. Expert Syst. Appl. Hailong Hu, Yaqian Li, Zeyu Zheng, Wenjun Hu, Riyang Lin, Yanlei Kang
2025	J	`jnl`	Don't Waste It: Guiding Generative Recommenders with Structured Human Priors via Multi-head Decoding. CoRR Yunkai Zhang, Qiang Zhang, Feng Lin, Ruizhong Qiu, Hanchao Yu, Jiayi Liu, Yinglong Xia, Zhuoran Yu, Zeyu Zheng, Diji Yang
2025	A*	`conf`	Efficient Fine-Grained Guidance for Diffusion Model Based Symbolic Music Generation. ICML Tingyu Zhu, Haoyu Liu, Ziyu Wang, Zhimin Jiang, Zeyu Zheng
2025	J	`jnl`	IDA-Bench: Evaluating LLMs on Interactive Guided Data Analysis. CoRR Hanyu Li, Haoyu Liu, Tingyu Zhu, Tianyu Guo, Zeyu Zheng, Xiaotie Deng, Michael I. Jordan
2025	J	`jnl`	Improving LLM Interpretability and Performance via Guided Embedding Refinement for Sequential Recommendation. CoRR Nanshan Jia, Chenfei Yuan, Yuhang Wu, Zeyu Zheng
2025	J	`jnl`	Insight Miner: A Time Series Analysis Dataset for Cross-Domain Alignment with Natural Language. CoRR Yunkai Zhang, Yawen Zhang, Ming Zheng, Kezhen Chen, Chongyang Gao, Ruian Ge, Siyuan Teng, Amine Jelloul, Jinmeng Rao, Xiaoyuan Guo, Chiang-Wei Fang, Zeyu Zheng, Jie Yang
2025	J	`jnl`	Interactive dual contrastive fusion for multi-view clustering with local structure preservation. Neurocomputing Hongwei Yin, Dongliang Zhang, Wenjun Hu, Ke Zhang, Zeyu Zheng
2025	J	`jnl`	OBLR-PO: A Theoretical Framework for Stable Reinforcement Learning. CoRR Zixun Huang, Jiayi Sheng, Zeyu Zheng
2025	J	`jnl`	OpenVision 2: A Family of Generative Pretrained Visual Encoders for Multimodal Learning. CoRR Yanqing Liu, Xianhang Li, Letian Zhang, Zirui Wang, Zeyu Zheng, Yuyin Zhou, Cihang Xie
2025	J	`jnl`	Reinforcement-Learning Portfolio Allocation with Dynamic Embedding of Market Information. CoRR Jinghai He, Cheng Hua, Chunyang Zhou, Zeyu Zheng
2025	J	`jnl`	SOCRATES: Simulation Optimization with Correlated Replicas and Adaptive Trajectory Evaluations. CoRR Haoting Zhang, Haoxian Chen, Donglin Zhan, Hanyang Zhao, Henry Lam, Wenpin Tang, David D. Yao, Zeyu Zheng
2025	J	`jnl`	Scaling up Multi-Turn Off-Policy RL and Multi-Agent Tree Search for LLM Step-Provers. CoRR Ran Xin, Zeyu Zheng, Yanchen Nie, Kun Yuan, Xia Xiao
2025	J	`jnl`	Seed-Prover 1.5: Mastering Undergraduate-Level Theorem Proving via Learning from Experience. CoRR Jiangjie Chen, Wenxiang Chen, Jiacheng Du, Jinyi Hu, Zhicheng Jiang, Allan Jie, Xiaoran Jin, Xing Jin, Chenggang Li, Wenlei Shi, Zhihong Wang, Mingxuan Wang, Chenrui Wei, Shufa Wei, Huajian Xin, Fan Yang, Weihao Gao, Zheng Yuan, Tianyang Zhan, Zeyu Zheng, Tianxi Zhou, Thomas Hanwen Zhu
2025	J	`jnl`	The generalized trifference problem. CoRR Anurag Bishnoi, Bartlomiej Kielak, Benedek Kovács, Zoltán Lóránt Nagy, Gábor Somlai, Máté Vizer, Zeyu Zheng
2025	J	`jnl`	Where on Earth? A Vision-Language Benchmark for Probing Model Geolocation Skills Across Scales. CoRR Zhaofang Qian, Hardy Chen, Zeyu Wang, Li Zhang, Zijun Wang, Xiaoke Huang, Hui Liu, Xianfeng Tang, Zeyu Zheng, Haoqin Tu, Cihang Xie, Yuyin Zhou
2024	—	`conf`	Disentangling the Causes of Plasticity Loss in Neural Networks. CoLLAs Clare Lyle, Zeyu Zheng, Khimya Khetarpal, Hado van Hasselt, Razvan Pascanu, James Martens, Will Dabney
2024	J	`jnl`	Disentangling the Causes of Plasticity Loss in Neural Networks. CoRR Clare Lyle, Zeyu Zheng, Khimya Khetarpal, Hado van Hasselt, Razvan Pascanu, James Martens, Will Dabney
2024	Misc	`conf`	Enhancing Language Model with Both Human and Artificial Intelligence Feedback Data. WSC Haoting Zhang, Jinghai He, Jingxu Xu, Jingshen Wang, Zeyu Zheng
2024	A*	`conf`	Generalized Preference Optimization: A Unified Approach to Offline Alignment. ICML Yunhao Tang, Zhaohan Daniel Guo, Zeyu Zheng, Daniele Calandriello, Rémi Munos, Mark Rowland, Pierre Harvey Richemond, Michal Valko, Bernardo Ávila Pires, Bilal Piot
2024	J	`jnl`	Generalized Preference Optimization: A Unified Approach to Offline Alignment. CoRR Yunhao Tang, Zhaohan Daniel Guo, Zeyu Zheng, Daniele Calandriello, Rémi Munos, Mark Rowland, Pierre Harvey Richemond, Michal Valko, Bernardo Ávila Pires, Bilal Piot
2024	A*	`conf`	Human Alignment of Large Language Models through Online Preference Optimisation. ICML 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
2024	J	`jnl`	Human Alignment of Large Language Models through Online Preference Optimisation. CoRR 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
2024	Misc	`conf`	Large Language Model Assisted Experiment Design with Generative Human-Behavior Agents. WSC Haoyu Liu, Yifu Tang, Zizhao Zhang, Zeyu Zheng, Tingyu Zhu
2024	A*	`conf`	Normalization and effective learning rates in reinforcement learning. NeurIPS Clare Lyle, Zeyu Zheng, Khimya Khetarpal, James Martens, Hado Philip van Hasselt, Razvan Pascanu, Will Dabney
2024	J	`jnl`	Normalization and effective learning rates in reinforcement learning. CoRR Clare Lyle, Zeyu Zheng, Khimya Khetarpal, James Martens, Hado van Hasselt, Razvan Pascanu, Will Dabney
2024	J	`jnl`	Structured Diffusion Models with Mixture of Gaussians as Prior Distribution. CoRR Nanshan Jia, Tingyu Zhu, Haoyu Liu, Zeyu Zheng
2024	J	`jnl`	Symbolic Music Generation with Fine-grained Interactive Textural Guidance. CoRR Tingyu Zhu, Haoyu Liu, Zhimin Jiang, Zeyu Zheng
2024	J	`jnl`	TCM-KDIF: An Information Interaction Framework Driven by Knowledge-Data and Its Clinical Application in Traditional Chinese Medicine. IEEE Internet Things J. Zhi Liu, Jiaxi Yang, Kui Chen, Tao Yang, Xiaochen Li, Bingjie Lu, Dianzheng Fu, Zeyu Zheng, Changyong Luo
2024	J	`jnl`	Understanding the performance gap between online and offline alignment algorithms. CoRR Yunhao Tang, Zhaohan Daniel Guo, Zeyu Zheng, Daniele Calandriello, Yuan Cao, Eugene Tarassov, Rémi Munos, Bernardo Ávila Pires, Michal Valko, Yong Cheng, Will Dabney
2023	Misc	`conf`	A Preliminary Study of Regularization Framework for Constructing Task-Specific Simulators. WSC Dilara Aykanat, Zeyu Zheng, Nian Si
2023	—	`conf`	Prediction of Empathy Induced by Synthesized Speech using Hilbert Marginal Spectrum Analysis. ICBEA Zhihao Wang, Zhao Qing, Zeyu Zheng, Zhiheng Xiong, Luyun Lai, Yu Sun
2023	A*	`conf`	Understanding Plasticity in Neural Networks. ICML Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Ávila Pires, Razvan Pascanu, Will Dabney
2023	J	`jnl`	Understanding plasticity in neural networks. CoRR Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Ávila Pires, Razvan Pascanu, Will Dabney
2022	A*	`conf`	Adaptive Pairwise Weights for Temporal Credit Assignment. AAAI Zeyu Zheng, Risto Vuorio, Richard L. Lewis, Satinder Singh
2022	—	`—`	Advances in Deep Reinforcement Learning: Intrinsic Rewards, Temporal Credit Assignment, State Representations, and Value-equivalent Models Zeyu Zheng
2022	J	`jnl`	GrASP: Gradient-Based Affordance Selection for Planning. CoRR Vivek Veeriah, Zeyu Zheng, Richard L. Lewis, Satinder Singh
2022	A*	`conf`	Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization. NeurIPS Tianyi Lin, Zeyu Zheng, Michael I. Jordan
2022	J	`jnl`	Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization. CoRR Tianyi Lin, Zeyu Zheng, Michael I. Jordan
2022	—	`conf`	Research on the Form of "Four-Steps" Open Project Practical Teaching Activities. ICCSE (3) Gang Cen, Zeping Yang, Yuefeng Cen, Zeyu Zheng
2022	J	`jnl`	Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations. CoRR Nelson Vadori, Leo Ardon, Sumitra Ganesh, Thomas Spooner, Selim Amrouni, Jared Vann, Mengda Xu, Zeyu Zheng, Tucker Balch, Manuela Veloso
2021	J	`jnl`	Automated multi-layer optical design via deep reinforcement learning. Mach. Learn. Sci. Technol. Haozhu Wang, Zeyu Zheng, Chengang Ji, L. Jay Guo
2021	J	`jnl`	Continuous Conditional Generative Adversarial Networks (cGAN) with Generator Regularization. CoRR Yufeng Zheng, Yunkai Zhang, Zeyu Zheng
2021	Misc	`conf`	Instructions for Authors of Papers Using Latex. WSC Sojung Kim, Ben Feng, Katy Smith, Sara Masoud, Zeyu Zheng
2021	A*	`conf`	Learning State Representations from Random Deep Action-conditional Predictions. NeurIPS Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard L. Lewis, Satinder Singh
2021	J	`jnl`	Learning State Representations from Random Deep Action-conditional Predictions. CoRR Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard L. Lewis, Satinder Singh
2021	Misc	`conf`	Learning to Simulate Sequentially Generated Data via Neural Networks and Wasserstein Training. WSC Tingyu Zhu, Zeyu Zheng
2021	Misc	`conf`	Neural Network-Assisted Simulation Optimization with Covariates. WSC Haoting Zhang, Jinghai He, Donglin Zhan, Zeyu Zheng
2021	A	`conf`	On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification. AISTATS Tianyi Lin, Zeyu Zheng, Elynn Y. Chen, Marco Cuturi, Michael I. Jordan
2021	J	`jnl`	Pairwise Weights for Temporal Credit Assignment. CoRR Zeyu Zheng, Risto Vuorio, Richard L. Lewis, Satinder Singh
2021	J	`jnl`	Pose estimation at night in infrared images using a lightweight multi-stage attention network. Signal Image Video Process. Ying Zang, Chunpeng Fan, Zeyu Zheng, Dongsheng Yang
2020	J	`jnl`	Automated Optical Multi-layer Design via Deep Reinforcement Learning. CoRR Haozhu Wang, Zeyu Zheng, Chengang Ji, L. Jay Guo
2020	J	`jnl`	Doubly Stochastic Generative Arrivals Modeling. CoRR Yufeng Zheng, Zeyu Zheng
2020	J	`jnl`	On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification. CoRR Tianyi Lin, Zeyu Zheng, Elynn Y. Chen, Marco Cuturi, Michael I. Jordan
2020	A*	`conf`	What Can Learned Intrinsic Rewards Capture? ICML Zeyu Zheng, Junhyuk Oh, Matteo Hessel, Zhongwen Xu, Manuel Kroiss, Hado van Hasselt, David Silver, Satinder Singh
2020	A*	`conf`	When Demands Evolve Larger and Noisier: Learning and Earning in a Growing Environment. ICML Feng Zhu, Zeyu Zheng
2019	Misc	`conf`	Heterogeneous Assets Market Design. WSC Yu An, Zeyu Zheng
2019	Misc	`conf`	Model Loss and Distribution Analysis of Regression Problems in Machine Learning. ICMLC Nan Yang, Zeyu Zheng, Tianran Wang
2019	J	`jnl`	Ques-Chain: an Ethereum Based E-Voting System. CoRR Qixuan Zhang, Bowen Xu, Haotian Jing, Zeyu Zheng
2019	—	`conf`	Remaining Useful Life Estimation by Empirical Mode Decomposition and Ensemble Deep Convolution Neural Networks. ICPHM Qingfeng Yao, Tianji Yang, Zhi Liu, Zeyu Zheng
2019	J	`jnl`	What Can Learned Intrinsic Rewards Capture? CoRR Zeyu Zheng, Junhyuk Oh, Matteo Hessel, Zhongwen Xu, Manuel Kroiss, Hado van Hasselt, David Silver, Satinder Singh
2018	Misc	`conf`	A Scalable Approach to Enhancing stochastic Kriging with Gradients. WSC Haojun Huo, Xiaowei Zhang, Zeyu Zheng
2018	Misc	`conf`	Data-Driven Ranking and Selection: High-dimensional covariates and General Dependence. WSC Xiaocheng Li, Xiaowei Zhang, Zeyu Zheng
2018	A*	`conf`	On Learning Intrinsic Rewards for Policy Gradient Methods. NeurIPS Zeyu Zheng, Junhyuk Oh, Satinder Singh
2018	J	`jnl`	On Learning Intrinsic Rewards for Policy Gradient Methods. CoRR Zeyu Zheng, Junhyuk Oh, Satinder Singh
2018	—	`conf`	The Application Research of AlphaGo Double Decision System in Network Bad Information Recognition. ICIC (3) Hui Chen, Zeyu Zheng, Qiurui Chen, Lanjiang Yang, Xingnan Chen, Shijue Zheng
2017	—	`conf`	Parallelizing Sequential Graph Computations. SIGMOD Conference Wenfei Fan, Jingbo Xu, Yinghui Wu, Wenyuan Yu, Jiaxin Jiang, Zeyu Zheng, Bohan Zhang, Yang Cao, Chao Tian
2017	—	`conf`	Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. USENIX ATC Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing
2017	J	`jnl`	Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. CoRR Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing
2017	—	`conf`	Using machine learning to predict obesity in high school students. BIBM Zeyu Zheng, Karen Ruggiero
2016	C	`conf`	Degree of Integration into Social Networks (DISN) Evaluation Model Based on Micro-Blogging Platforms and Information Dissemination Prediction. CIT Xi Chen, Jianwei Li, Zeyu Zheng, Tianran Wang
2014	J	`jnl`	Least Maintenance Batch Scheduling in Cloud Data Center Networks. IEEE Commun. Lett. Zeyu Zheng, Jinfan Wang, Jing Ren, Weigang Hou, Jianping Wang
2013	A*	`conf`	Coordinated resource provisioning and maintenance scheduling in cloud data centers. INFOCOM Zeyu Zheng, Minming Li, Xun Xiao, Jianping Wang
2013	—	`conf`	Extracting Events with Informal Temporal References in Personal Histories in Online Communities. ACL (2) Miaomiao Wen, Zeyu Zheng, Hyeju Jang, Guang Xiang, Carolyn Penstein Rosé
2013	J	`jnl`	Green Grooming in a More Realistic and Multidomain Optical Network. JOCN Weigang Hou, Lei Guo, Zeyu Zheng, Xu Zhang
2013	—	`conf`	On routing and aggregation of many-to-many sessions over green WDM optical networks. ICC Weigang Hou, Lei Guo, Zeyu Zheng
2012	A	`conf`	A Supervised Approach to Predict Company Acquisition with Factual and Topic Features Using Profiles and News Articles on TechCrunch. ICWSM Guang Xiang, Zeyu Zheng, Miaomiao Wen, Jason I. Hong, Carolyn Penstein Rosé, Chao Liu
2012	J	`jnl`	On the relay selection for cooperative wireless networks with physical-layer network coding. Wirel. Networks Zeyu Zheng, Shengli Fu, Kejie Lu, Jianping Wang, Biao Chen
2012	J	`jnl`	Service Composition in Service-Oriented Wireless Sensor Networks with Persistent Queries CoRR Xiumin Wang, Jianping Wang, Zeyu Zheng, Yinlong Xu, Mei Yang
2012	—	`conf`	Supporting collaboration in Wikipedia between language communities. ICIC Ranjitha Gurunath Kulkarni, Gaurav Trivedi, Tushar Suresh, Miaomiao Wen, Zeyu Zheng, Carolyn P. Rosé
2010	A*	`conf`	A Novel Contrast Co-learning Framework for Generating High Quality Training Data. ICDM Zeyu Zheng, Jun Yan, Shuicheng Yan, Ning Liu, Zheng Chen, Ming Zhang
2010	A*	`conf`	A co-learning framework for learning user search intents from rule-generated training data. SIGIR Jun Yan, Zeyu Zheng, Li Jiang, Yan Li, Shuicheng Yan, Zheng Chen
2010	—	`conf`	Wavelength Assignment Scheme of ONUs in Hybrid TDM/WDM Fiber-Wireless Networks. ICC Shifang Dai, Zeyu Zheng, Jianping Wang, Xinming Zhang
2009	—	`conf`	A Study of Network Throughput Gain in Optical-Wireless (FiWi) Networks Subject to Peer-to-Peer Communications. ICC Zeyu Zheng, Jianping Wang, Jin Wang
2009	B	`conf`	Almost Optimal Distributed M2M Multicasting in Wireless Mesh Networks. MASS Qin Xin, Fredrik Manne, Yan Zhang, Jianping Wang, Zeyu Zheng
2009	B	`conf`	ONU Placement in Fiber-Wireless (FiWi) Networks Considering Peer-to-Peer Communications. GLOBECOM Zeyu Zheng, Jianping Wang, Xiumin Wang
2009	—	`conf`	Service Composition in Service-Oriented Wireless Sensor Networks with Persistent Queries. CCNC Xiumin Wang, Jianping Wang, Zeyu Zheng, Yinlong Xu, Mei Yang
2006	C	`conf`	A Natural Language Model of Computing with Words in Web Pages. PACLIC Zeyu Zheng, Ping Zhang