publications | Lizhu Zhang

2026

RecSys

CORAL: An LLM-Native Harness for Production Recommender Systems

Muhammad Rafay Azhar, Yuhang Zhou, Gilbert Jiang, Yuchen Wang, Rahul Sharma, Matthew DeSousa, Jiayi Liu, Xin Guo, Lizhu Zhang, and Xiangjun Fan

In OARS Workshop at ACM RecSys, 2026

Workshop Accepted

arXiv Bib HTML

@inproceedings{azhar2026coral,
  title = {CORAL: An LLM-Native Harness for Production Recommender Systems},
  author = {Azhar, Muhammad Rafay and Zhou, Yuhang and Jiang, Gilbert and Wang, Yuchen and Sharma, Rahul and DeSousa, Matthew and Liu, Jiayi and Guo, Xin and Zhang, Lizhu and Fan, Xiangjun},
  booktitle = {OARS Workshop at ACM RecSys},
  year = {2026},
  note = {Workshop Accepted},
}

arXiv

Remember When It Matters: Proactive Memory Agent for Long-Horizon Agents

Yifan Wu^†, Lizhu Zhang^†, Yuhang Zhou, Mingyi Wang, Bo Peng, Serena Li, Xiangjun Fan, and Zhuokai Zhao

arXiv preprint arXiv:2607.08716, 2026

arXiv Bib HTML

@article{wu2026proactivememory,
  title = {Remember When It Matters: Proactive Memory Agent for Long-Horizon Agents},
  author = {Wu, Yifan and Zhang, Lizhu and Zhou, Yuhang and Wang, Mingyi and Peng, Bo and Li, Serena and Fan, Xiangjun and Zhao, Zhuokai},
  journal = {arXiv preprint arXiv:2607.08716},
  year = {2026},
}

arXiv

SWE-Together: Evaluating Coding Agents in Interactive User Sessions

Yifan Wu, Zhuokai Zhao, Songlin Li, Ho Hin Lee, Jiacheng Zhu, Shirley Wu, Tianhe Yu, Serena Li, Lizhu Zhang, Xiangjun Fan, and Shengzhi Li

arXiv preprint arXiv:2606.29957, 2026

arXiv Bib HTML

@article{wu2026swetogether,
  title = {SWE-Together: Evaluating Coding Agents in Interactive User Sessions},
  author = {Wu, Yifan and Zhao, Zhuokai and Li, Songlin and Lee, Ho Hin and Zhu, Jiacheng and Wu, Shirley and Yu, Tianhe and Li, Serena and Zhang, Lizhu and Fan, Xiangjun and Li, Shengzhi},
  journal = {arXiv preprint arXiv:2606.29957},
  year = {2026},
}

arXiv

SAGE-OPD: Selective Agent-Guided Intervention for Multi-Turn On-Policy Distillation

Yuhang Zhou^†, Lizhu Zhang^†, Yifan Wu, Mingyi Wang, Bo Peng, Jiayi Liu, Xiangjun Fan, and Zhuokai Zhao

arXiv preprint arXiv:2606.19659, 2026

arXiv Bib HTML

@article{zhou2026sageopd,
  title = {SAGE-OPD: Selective Agent-Guided Intervention for Multi-Turn On-Policy Distillation},
  author = {Zhou, Yuhang and Zhang, Lizhu and Wu, Yifan and Wang, Mingyi and Peng, Bo and Liu, Jiayi and Fan, Xiangjun and Zhao, Zhuokai},
  journal = {arXiv preprint arXiv:2606.19659},
  year = {2026},
}

arXiv

OmniOPD: Logit-Free On-Policy Distillation via Speculative Verification

Yuhang Zhou^†, Lizhu Zhang^†, Yifan Wu, Mingyi Wang, Bo Peng, Jiayi Liu, Xiangjun Fan, and Zhuokai Zhao

arXiv preprint arXiv:2606.01476, 2026

arXiv Bib HTML

@article{zhou2026omniopd,
  title = {OmniOPD: Logit-Free On-Policy Distillation via Speculative Verification},
  author = {Zhou, Yuhang and Zhang, Lizhu and Wu, Yifan and Wang, Mingyi and Peng, Bo and Liu, Jiayi and Fan, Xiangjun and Zhao, Zhuokai},
  journal = {arXiv preprint arXiv:2606.01476},
  year = {2026},
}

arXiv

Agentic Recommender System with Hierarchical Belief-State Memory

Xiang Shen, Yuhang Zhou, Yifan Wu, Zhuokai Zhao, Siyu Lin, Lei Huang, Qianqian Zhong, Lizhu Zhang, Benyu Zhang, Xiangjun Fan, and Hong Yan

arXiv preprint arXiv:2605.14401, 2026

arXiv Bib HTML

@article{shen2026beliefstate,
  title = {Agentic Recommender System with Hierarchical Belief-State Memory},
  author = {Shen, Xiang and Zhou, Yuhang and Wu, Yifan and Zhao, Zhuokai and Lin, Siyu and Huang, Lei and Zhong, Qianqian and Zhang, Lizhu and Zhang, Benyu and Fan, Xiangjun and Yan, Hong},
  journal = {arXiv preprint arXiv:2605.14401},
  year = {2026},
}

CoLM

Synthetic Sandbox for Training Machine Learning Engineering Agents

Yuhang Zhou^†, Lizhu Zhang^†, Yifan Wu, Jiayi Liu, Xiangjun Fan, Zhuokai Zhao, and Hong Yan

In Conference on Language Modeling (CoLM), 2026

Conference Accepted

arXiv Bib HTML

@inproceedings{zhou2026syntheticsandbox,
  title = {Synthetic Sandbox for Training Machine Learning Engineering Agents},
  author = {Zhou, Yuhang and Zhang, Lizhu and Wu, Yifan and Liu, Jiayi and Fan, Xiangjun and Zhao, Zhuokai and Yan, Hong},
  booktitle = {Conference on Language Modeling (CoLM)},
  year = {2026},
  note = {Conference Accepted},
}

ICML

Token-Level LLM Collaboration via FusionRoute

Nuoya Xiong, Yuhang Zhou, Hanqing Zeng, Zhaorun Chen, Furong Huang, Shuchao Bi, Zhuokai Zhao, and Lizhu Zhang^*

In International Conference on Machine Learning (ICML), 2026

Conference Accepted

arXiv Bib HTML

@inproceedings{xiong2026fusionroute,
  title = {Token-Level LLM Collaboration via FusionRoute},
  author = {Xiong, Nuoya and Zhou, Yuhang and Zeng, Hanqing and Chen, Zhaorun and Huang, Furong and Bi, Shuchao and Zhao, Zhuokai and Zhang, Lizhu},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  note = {Conference Accepted},
}

ACL

Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table Understanding

Yuhang Zhou, Mingrui Zhang, Ke Li, Mingyi Wang, Qiao Liu, Qifei Wang, Jiayi Liu, Fei Liu, Serena Li, Weiwei Li, Mingze Gao, Abhishek Kumar, Xiangjun Fan, Zhuokai Zhao, and Lizhu Zhang^*

In Annual Meeting of the Association for Computational Linguistics (ACL), 2026

Main Conference

arXiv Bib HTML

@inproceedings{zhou2026mixtureofminds,
  title = {Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table Understanding},
  author = {Zhou, Yuhang and Zhang, Mingrui and Li, Ke and Wang, Mingyi and Liu, Qiao and Wang, Qifei and Liu, Jiayi and Liu, Fei and Li, Serena and Li, Weiwei and Gao, Mingze and Kumar, Abhishek and Fan, Xiangjun and Zhao, Zhuokai and Zhang, Lizhu},
  booktitle = {Annual Meeting of the Association for Computational Linguistics (ACL)},
  year = {2026},
  note = {Main Conference},
}

ACL

TARo: Token-level Adaptive Routing for LLM Test-time Alignment

Arushi Rai, Qiang Zhang, Hanqing Zeng, Yunkai Zhang, Dipesh Tamboli, Xiangjun Fan, Zhuokai Zhao, and Lizhu Zhang^*

In Annual Meeting of the Association for Computational Linguistics (ACL), 2026

Findings

arXiv Bib HTML

@inproceedings{rai2026taro,
  title = {TARo: Token-level Adaptive Routing for LLM Test-time Alignment},
  author = {Rai, Arushi and Zhang, Qiang and Zeng, Hanqing and Zhang, Yunkai and Tamboli, Dipesh and Fan, Xiangjun and Zhao, Zhuokai and Zhang, Lizhu},
  booktitle = {Annual Meeting of the Association for Computational Linguistics (ACL)},
  year = {2026},
  note = {Findings},
}

NeurIPS

EBPO: Empirical Bayes Shrinkage for Stabilizing Group-Relative Policy Optimization

Kevin Han, Yuhang Zhou, Mingze Gao, Gedi Zhou, Serena Li, Abhishek Kumar, Xiangjun Fan, Weiwei Li, and Lizhu Zhang^*

In Advances in Neural Information Processing Systems (NeurIPS), 2026

Conference Submission

arXiv Bib HTML

@inproceedings{han2026ebpo,
  title = {EBPO: Empirical Bayes Shrinkage for Stabilizing Group-Relative Policy Optimization},
  author = {Han, Kevin and Zhou, Yuhang and Gao, Mingze and Zhou, Gedi and Li, Serena and Kumar, Abhishek and Fan, Xiangjun and Li, Weiwei and Zhang, Lizhu},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  note = {Conference Submission},
}

ICML

StreamMem: Query-Agnostic KV Cache Memory for Streaming Video Understanding

Yanlai Yang, Zhuokai Zhao, Satya Narayan Shukla, Aashu Singh, Shlok Kumar Mishra, Lizhu Zhang^*, and Mengye Ren

In International Conference on Machine Learning (ICML), 2026

Conference Submission

arXiv Bib HTML

@inproceedings{yang2026streammem,
  title = {StreamMem: Query-Agnostic KV Cache Memory for Streaming Video Understanding},
  author = {Yang, Yanlai and Zhao, Zhuokai and Shukla, Satya Narayan and Singh, Aashu and Mishra, Shlok Kumar and Zhang, Lizhu and Ren, Mengye},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  note = {Conference Submission},
}

WWW

RecoWorld: Building Simulated Environments for Agentic Recommender Systems

Fei Liu, Xinyu Lin, Hanchao Yu, Mingze Gao, Qifan Wang, Lizhu Zhang, Benyu Zhang, and Xiangjun Fan

In HCRS Workshop at The Web Conference, 2026

Oral, Best Paper Award

arXiv Bib HTML

@inproceedings{liu2026recoworld,
  title = {RecoWorld: Building Simulated Environments for Agentic Recommender Systems},
  author = {Liu, Fei and Lin, Xinyu and Yu, Hanchao and Gao, Mingze and Wang, Qifan and Zhang, Lizhu and Zhang, Benyu and Fan, Xiangjun},
  booktitle = {HCRS Workshop at The Web Conference},
  year = {2026},
  note = {Oral, Best Paper Award},
}

WWW

Guiding Generative Recommender Systems with Structured Human Priors via Multi-head Decoding

Yunkai Zhang, Qiang Zhang, Diji Yang, Ryan Lin, Ruizhong Qiu, Benyu Zhang, Hanchao Yu, Jason Liu, Yinglong Xia, Zhuokai Zhao, Lizhu Zhang, and Xiangjun Fan

In The Web Conference (WWW), 2026

Oral

Bib

@inproceedings{zhang2026genrec,
  title = {Guiding Generative Recommender Systems with Structured Human Priors via Multi-head Decoding},
  author = {Zhang, Yunkai and Zhang, Qiang and Yang, Diji and Lin, Ryan and Qiu, Ruizhong and Zhang, Benyu and Yu, Hanchao and Liu, Jason and Xia, Yinglong and Zhao, Zhuokai and Zhang, Lizhu and Fan, Xiangjun},
  booktitle = {The Web Conference (WWW)},
  year = {2026},
  note = {Oral},
}

NeurIPS

Let it Calm: Exploratory Annealed Decoding for Verifiable Reinforcement Learning

Chenghao Yang, Lin Gui, Chenxiao Yang, Victor Veitch, Lizhu Zhang^*, and Zhuokai Zhao

In Advances in Neural Information Processing Systems (NeurIPS), 2026

Conference Submission

arXiv Bib HTML

@inproceedings{yang2026calm,
  title = {Let it Calm: Exploratory Annealed Decoding for Verifiable Reinforcement Learning},
  author = {Yang, Chenghao and Gui, Lin and Yang, Chenxiao and Veitch, Victor and Zhang, Lizhu and Zhao, Zhuokai},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  note = {Conference Submission},
}

NeurIPS

Exploring System-1 and System-2 Communication for Latent Reasoning in LLMs

Julian Coda-Forno, Zhuokai Zhao, Qiang Zhang, Dipesh Tamboli, Weiwei Li, Xiangjun Fan, Lizhu Zhang, Eric Schulz, and Hsiao-Ping Tseng

In Advances in Neural Information Processing Systems (NeurIPS), 2026

Conference Submission

arXiv Bib HTML

@inproceedings{codaforno2026system12,
  title = {Exploring System-1 and System-2 Communication for Latent Reasoning in LLMs},
  author = {Coda-Forno, Julian and Zhao, Zhuokai and Zhang, Qiang and Tamboli, Dipesh and Li, Weiwei and Fan, Xiangjun and Zhang, Lizhu and Schulz, Eric and Tseng, Hsiao-Ping},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  note = {Conference Submission},
}

ACL

MOFA: LLM-Driven Reasoning for Constraint-Aware Feature Selection in Industrial ML Systems

Yuhang Zhou, Zhuokai Zhao, Ke Li, Spilios Evmorfos, Gökalp Demirci, Mingyi Wang, Qiao Liu, Qifei Wang, Serena Li, Weiwei Li, Mingze Gao, Gedi Zhou, Abhishek Kumar, Xiangjun Fan, Lizhu Zhang, and Jiayi Liu

In Annual Meeting of the Association for Computational Linguistics (ACL), 2026

Industry Track Submission

arXiv Bib HTML

@inproceedings{zhou2026mofa,
  title = {MOFA: LLM-Driven Reasoning for Constraint-Aware Feature Selection in Industrial ML Systems},
  author = {Zhou, Yuhang and Zhao, Zhuokai and Li, Ke and Evmorfos, Spilios and Demirci, Gökalp and Wang, Mingyi and Liu, Qiao and Wang, Qifei and Li, Serena and Li, Weiwei and Gao, Mingze and Zhou, Gedi and Kumar, Abhishek and Fan, Xiangjun and Zhang, Lizhu and Liu, Jiayi},
  booktitle = {Annual Meeting of the Association for Computational Linguistics (ACL)},
  year = {2026},
  note = {Industry Track Submission},
}

KDD

NEXT: Causality-Driven Video Recommendation via Vision-Language Model Reasoning

Yuming Liu, Hongye Yang, Harrison Zhao, Ellie Zhu, Bokai Cao, Lei Huang, Lizhu Zhang, and Xiangjun Fan

In ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2026

ADS Track Cycle 2 Submission

arXiv Bib HTML

@inproceedings{liu2026next,
  title = {NEXT: Causality-Driven Video Recommendation via Vision-Language Model Reasoning},
  author = {Liu, Yuming and Yang, Hongye and Zhao, Harrison and Zhu, Ellie and Cao, Bokai and Huang, Lei and Zhang, Lizhu and Fan, Xiangjun},
  booktitle = {ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
  year = {2026},
  note = {ADS Track Cycle 2 Submission},
}

KDD

ConnectionMind: Leveraging Social Networks and Large Language Models for Personalized Recommendation at Meta

Haoyu Han, Yuming Liu, Lei Huang, Lizhu Zhang, Jiliang Tang, and Xiangjun Fan

In ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2026

ADS Track Cycle 2 Submission

arXiv Bib HTML

@inproceedings{han2026connectionmind,
  title = {ConnectionMind: Leveraging Social Networks and Large Language Models for Personalized Recommendation at Meta},
  author = {Han, Haoyu and Liu, Yuming and Huang, Lei and Zhang, Lizhu and Tang, Jiliang and Fan, Xiangjun},
  booktitle = {ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
  year = {2026},
  note = {ADS Track Cycle 2 Submission},
}

Enhancing Generative Recommender Systems via Human Preference with Multi-task Decoding

Yunkai Zhang, Qiang Zhang, Diji Yang, Zhuokai Zhao, Ruizhong Qiu, Ryan Feng Lin, Yinglong Xia, Jiayi Liu, Hanchao Yu, Lizhu Zhang, Xiangjun Fan, Zeyu Zheng, and Benyu Zhang

In , 2026

Bib

@inproceedings{zhang2026multitask,
  title = {Enhancing Generative Recommender Systems via Human Preference with Multi-task Decoding},
  author = {Zhang, Yunkai and Zhang, Qiang and Yang, Diji and Zhao, Zhuokai and Qiu, Ruizhong and Lin, Ryan Feng and Xia, Yinglong and Liu, Jiayi and Yu, Hanchao and Zhang, Lizhu and Fan, Xiangjun and Zheng, Zeyu and Zhang, Benyu},
  year = {2026},
}

2025

NeurIPS

Thought Communication in Multiagent Collaboration

Yujia Zheng, Zhuokai Zhao, Zijian Li, Yaqi Xie, Mingze Gao, Lizhu Zhang^*, and Kun Zhang

In Advances in Neural Information Processing Systems (NeurIPS), 2025

Spotlight

arXiv Bib HTML

@inproceedings{zheng2025thought,
  title = {Thought Communication in Multiagent Collaboration},
  author = {Zheng, Yujia and Zhao, Zhuokai and Li, Zijian and Xie, Yaqi and Gao, Mingze and Zhang, Lizhu and Zhang, Kun},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  note = {Spotlight},
}

NeurIPS

S’MoRE: Structural Mixture of Residual Experts for Parameter-Efficient LLM Fine-tuning

Hanqing Zeng, Yinglong Xia, Zhuokai Zhao, Lizhu Zhang, Xiangjun Fan, and Benyu Zhang

In Advances in Neural Information Processing Systems (NeurIPS), 2025

Poster

arXiv Bib HTML

@inproceedings{zeng2025smore,
  title = {S'MoRE: Structural Mixture of Residual Experts for Parameter-Efficient LLM Fine-tuning},
  author = {Zeng, Hanqing and Xia, Yinglong and Zhao, Zhuokai and Zhang, Lizhu and Fan, Xiangjun and Zhang, Benyu},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  note = {Poster},
}

Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment

Chaoqi Wang, Zhuokai Zhao, Yibo Jiang, Zhaorun Chen, Chen Zhu, Yuxin Chen, Jiayi Liu, Lizhu Zhang, Xiangjun Fan, Hao Ma, and Sinong Wang

In , 2025

arXiv Bib HTML

@inproceedings{wang2025causalrewards,
  title = {Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment},
  author = {Wang, Chaoqi and Zhao, Zhuokai and Jiang, Yibo and Chen, Zhaorun and Zhu, Chen and Chen, Yuxin and Liu, Jiayi and Zhang, Lizhu and Fan, Xiangjun and Ma, Hao and Wang, Sinong},
  year = {2025},
}

ICDM

Efficient Sequential Recommendation for Long Term User Interest Via Personalization

Qiang Zhang, Hanchao Yu, Ivan Ji, Chen Yuan, Renqin Cai, Rui Li, Lizhu Zhang, Xiangjun Fan, and Benyu Zhang

In IEEE International Conference on Data Mining (ICDM), 2025

arXiv Bib HTML

@inproceedings{zhang2025seqrec,
  title = {Efficient Sequential Recommendation for Long Term User Interest Via Personalization},
  author = {Zhang, Qiang and Yu, Hanchao and Ji, Ivan and Yuan, Chen and Cai, Renqin and Li, Rui and Zhang, Lizhu and Fan, Xiangjun and Zhang, Benyu},
  booktitle = {IEEE International Conference on Data Mining (ICDM)},
  year = {2025},
}

ICCV

CAFE: Unifying Representation and Generation with Contrastive Autoregressive Fine-tuning

Hao Yu, Zhuokai Zhao, Shen Yan, Lukasz Korycki, Jianyu Wang, Baosheng He, Jiayi Liu, Lizhu Zhang, Xiangjun Fan, and Hanchao Yu

In ICCV Workshop on Findings, 2025

arXiv Bib HTML

@inproceedings{yu2025cafe,
  title = {CAFE: Unifying Representation and Generation with Contrastive Autoregressive Fine-tuning},
  author = {Yu, Hao and Zhao, Zhuokai and Yan, Shen and Korycki, Lukasz and Wang, Jianyu and He, Baosheng and Liu, Jiayi and Zhang, Lizhu and Fan, Xiangjun and Yu, Hanchao},
  booktitle = {ICCV Workshop on Findings},
  year = {2025},
}

GEM: Empowering LLM for both Embedding Generation and Language Understanding

Caojin Zhang, Qiang Zhang, Ke Li, Sai Vidyaranya Nuthalapati, Benyu Zhang, Serena Li, Lizhu Zhang, and Xiangjun Fan

In , 2025

arXiv Bib HTML

@inproceedings{zhang2025gem,
  title = {GEM: Empowering LLM for both Embedding Generation and Language Understanding},
  author = {Zhang, Caojin and Zhang, Qiang and Li, Ke and Nuthalapati, Sai Vidyaranya and Zhang, Benyu and Li, Serena and Zhang, Lizhu and Fan, Xiangjun},
  year = {2025},
}

Accelerating LLM-Based Embeddings: Empowering Global Lens for Efficient Token Reduction

Shichao Pei, Ruizhe Zhang, Xiaohui Chen, Feijie Wu, Lizhu Zhang, Xiangjun Fan, Duen Horng Chau, and David Yang

In , 2025

Bib

@inproceedings{pei2025accelerating,
  title = {Accelerating LLM-Based Embeddings: Empowering Global Lens for Efficient Token Reduction},
  author = {Pei, Shichao and Zhang, Ruizhe and Chen, Xiaohui and Wu, Feijie and Zhang, Lizhu and Fan, Xiangjun and Chau, Duen Horng and Yang, David},
  year = {2025},
}

2016

Patent

Image cache collaboration between clients in remote desktop environments

Lizhu Zhang

2016

US Patent Application US20160246787A1

Bib

@misc{zhang2016image,
  title = {Image cache collaboration between clients in remote desktop environments},
  author = {Zhang, Lizhu},
  year = {2016},
  note = {US Patent Application US20160246787A1},
}

2015

Patent

Copying/pasting items in a virtual desktop infrastructure (VDI) environment

Lizhu Zhang

2015

US Patent Application US20150095795A1

Bib

@misc{zhang2015vdi,
  title = {Copying/pasting items in a virtual desktop infrastructure (VDI) environment},
  author = {Zhang, Lizhu},
  year = {2015},
  note = {US Patent Application US20150095795A1},
}

2013

VMware

Providing Efficient and Seamless Desktop Services in Ubiquitous Computing Environments

Lizhu Zhang, Wenlong Shao, and Jim Grandy

VMware Technical Journal, 2013

Bib

@article{zhang2013vmware,
  title = {Providing Efficient and Seamless Desktop Services in Ubiquitous Computing Environments},
  author = {Zhang, Lizhu and Shao, Wenlong and Grandy, Jim},
  journal = {VMware Technical Journal},
  year = {2013},
}

2012

Patent

Multi-touch interface gestures for keyboard and/or mouse inputs

Robert Lee Thompson, Xueliang Hua, Zheng Zhang, Juan Casares, Wenlong Shao, and Lizhu Zhang

2012

US Patent Application 20120054671

Bib

@misc{thompson2012multitouch,
  title = {Multi-touch interface gestures for keyboard and/or mouse inputs},
  author = {Thompson, Robert Lee and Hua, Xueliang and Zhang, Zheng and Casares, Juan and Shao, Wenlong and Zhang, Lizhu},
  year = {2012},
  note = {US Patent Application 20120054671},
}

2011

TWEB

Recommending friends and locations based on individual location history

Yu Zheng^†, Lizhu Zhang^†, Zhengxin Ma, Xing Xie, and Wei-Ying Ma

ACM Transactions on the Web, 2011

Bib

@article{zheng2011recommending,
  title = {Recommending friends and locations based on individual location history},
  author = {Zheng, Yu and Zhang, Lizhu and Ma, Zhengxin and Xie, Xing and Ma, Wei-Ying},
  journal = {ACM Transactions on the Web},
  year = {2011},
}

Patent

Mining Correlation Between Locations Using Location History

Yu Zheng, Lizhu Zhang, and Xing Xie

2011

US Patent Application 20110208425

Bib

@misc{zheng2011correlation_patent,
  title = {Mining Correlation Between Locations Using Location History},
  author = {Zheng, Yu and Zhang, Lizhu and Xie, Xing},
  year = {2011},
  note = {US Patent Application 20110208425},
}

2010

Patent

Identifying Interesting Locations

Yu Zheng, Lizhu Zhang, Xing Xie, and Wei-Ying Ma

2010

US Patent Application 20100211308

Bib

@misc{zheng2010identifying_patent,
  title = {Identifying Interesting Locations},
  author = {Zheng, Yu and Zhang, Lizhu and Xie, Xing and Ma, Wei-Ying},
  year = {2010},
  note = {US Patent Application 20100211308},
}

2009

WWW

Mining interesting locations and travel sequences from GPS trajectories

Yu Zheng^†, Lizhu Zhang^†, Xing Xie, and Wei-Ying Ma

In Proceedings of the 18th International Conference on World Wide Web (WWW), 2009

Bib

@inproceedings{zheng2009mininglocations,
  title = {Mining interesting locations and travel sequences from GPS trajectories},
  author = {Zheng, Yu and Zhang, Lizhu and Xie, Xing and Ma, Wei-Ying},
  booktitle = {Proceedings of the 18th International Conference on World Wide Web (WWW)},
  year = {2009},
}

GIS

Mining correlation between locations using human location history

Yu Zheng^†, Lizhu Zhang^†, Xing Xie, and Wei-Ying Ma

In Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS), 2009

Bib

@inproceedings{zheng2009correlation,
  title = {Mining correlation between locations using human location history},
  author = {Zheng, Yu and Zhang, Lizhu and Xie, Xing and Ma, Wei-Ying},
  booktitle = {Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS)},
  year = {2009},
}