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ORCIDKai Zhao 0011
Person information
- affiliation: Walmart AI, Bentonville, AR, USA
- affiliation (2017 - 2024): Georgia State University, Atlanta, GA, USA
- affiliation (2015 - 2017): New York University, NY, USA
- affiliation (PhD 2015): University of Helsinki, Finland
Other persons with the same name
- Kai Zhao — disambiguation page
- Kai Zhao 0001 — NEC Laboratories, Beijing, China
- Kai Zhao 0002 — Concordia University, Montreal, Canada
- Kai Zhao 0003 — Google Inc., New York, NY, USA (and 4 more)
- Kai Zhao 0004
![[0000-0003-0656-1901]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0656-1901")
— Chongqing University, School of Automation, China - Kai Zhao 0005 — SanDisk, MA, USA (and 1 more)
- Kai Zhao 0006 — Shanghai Jiao Tong University, City Key Laboratory of Automobile Engineering of Shanghai, China
- Kai Zhao 0007 — Beijing Normal University, Beijing, China (and 1 more)
- Kai Zhao 0008 — Florida State University, FL, USA (and 2 more)
- Kai Zhao 0009 — Aalborg University, Denmark (and 1 more)
- Kai Zhao 0010 — Nanyang Technological University, School of Electronic and Electrical Engineering, Singapore
- Kai Zhao 0012 — Shanghai University, School of Communication and Information Engineering, Shanghai, China (and 2 more)
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2020 – today
- 2025
[j15]Wenzhen Jia, Kai Zhao, Meng Chen, Yang Han, Xiang Li, Xuexiao Shao:
ST2SNet: Spatial-Temporal Two-Layer Synchronous Network for Traffic Flow Prediction. IEEE Trans. Comput. Soc. Syst. 12(5): 3279-3288 (2025)- [c28]Meng Chen, Hongwei Jia, Zechen Li, Wenzhen Jia, Kai Zhao, Hongjun Dai, Weiming Huang:
Cross-City Latent Space Alignment for Consistency Region Embedding. ICML 2025 - [c27]Yunpeng Qu, Kun Yuan, Jinhua Hao, Kai Zhao, Qizhi Xie, Ming Sun, Chao Zhou:
Visual Autoregressive Modeling for Image Super-Resolution. ICML 2025 - [c26]Tianao Sun, Meng Chen, Bowen Zhang, Genan Dai, Weiming Huang, Kai Zhao:
SILO: Semantic Integration for Location Prediction with Large Language Models. KDD (2) 2025: 2756-2767 - [c25]Luyi Ma, Wanjia Zhang, Kai Zhao, Abhishek Kulkarni, Lalitesh Morishetti, Anjana Ganesh, Ashish Ranjan, Aashika Padmanabhan, Jianpeng Xu, Jason H. D. Cho, Praveenkumar Kanumala, Kaushiki Nag, Sumit Dutta, Kamiya Motwani, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization. RecSys 2025: 135-144 - [c24]Ramin Giahi, Kehui Yao, Sriram Kollipara, Kai Zhao, Vahid Mirjalili, Jianpeng Xu, Topojoy Biswas, Evren Körpeoglu, Kannan Achan:
VL-CLIP: Enhancing Multimodal Recommendations via Visual Grounding and LLM-Augmented CLIP Embeddings. RecSys 2025: 482-491 - [i19]Yunpeng Qu, Kun Yuan, Jinhua Hao, Kai Zhao, Qizhi Xie, Ming Sun, Chao Zhou:
Visual Autoregressive Modeling for Image Super-Resolution. CoRR abs/2501.18993 (2025) - [i18]Jiao Chen, Kehui Yao, Reza Yousefi Maragheh, Kai Zhao, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
CARTS: Collaborative Agents for Recommendation Textual Summarization. CoRR abs/2506.17765 (2025) - [i17]Reza Yousefi Maragheh, Pratheek Vadla, Priyank Gupta, Kai Zhao, Aysenur Inan, Kehui Yao, Jianpeng Xu, Praveenkumar Kanumala, Jason H. D. Cho, Sushant Kumar:
ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation. CoRR abs/2506.21931 (2025) - [i16]Luyi Ma, Wanjia Zhang, Kai Zhao, Abhishek Kulkarni, Lalitesh Morishetti, Anjana Ganesh, Ashish Ranjan, Aashika Padmanabhan, Jianpeng Xu, Jason Cho, Praveenkumar Kanumala, Kaushiki Nag, Sumit Dutta, Kamiya Motwani, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization. CoRR abs/2507.14758 (2025) - [i15]Shreeranjani Srirangamsridharan, Ali Abavisani, Reza Yousefi Maragheh, Ramin Giahi, Kai Zhao, Jason H. D. Cho, Sushant Kumar:
MetaSynth: Multi-Agent Metadata Generation from Implicit Feedback in Black-Box Systems. CoRR abs/2510.01523 (2025) - [i14]Tao Zhang, Kehui Yao, Luyi Ma, Jiao Chen, Reza Yousefi Maragheh, Kai Zhao, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
No-Human in the Loop: Agentic Evaluation at Scale for Recommendation. CoRR abs/2511.03051 (2025) - 2024
- [j14]Xin Chen, Shaofei Feng, Min Yang, Kai Zhao, Ronghui Xu, Chaoran Cui, Meng Chen:
Modeling question difficulty for unbiased cognitive diagnosis: A causal perspective. Knowl. Based Syst. 294: 111750 (2024) - [j13]Wenzhen Jia, Kai Zhao, Shengjie Zhao:
The Hierarchical Clustering of Human Mobility Behaviors. IEEE Trans. Comput. Soc. Syst. 11(2): 1876-1887 (2024) - [j12]Tianao Sun, Kai Zhao, Meng Chen:
Human-AI Interaction: Human Behavior Routineness Shapes AI Performance. IEEE Trans. Knowl. Data Eng. 36(12): 8476-8487 (2024) - [j11]Wenzhen Jia, Shengjie Zhao, Kai Zhao:
Human Mobility Prediction Based on Trend Iteration of Spectral Clustering. IEEE Trans. Mob. Comput. 23(5): 4196-4211 (2024) - [c23]Zechen Li, Weiming Huang, Kai Zhao, Min Yang, Yongshun Gong, Meng Chen:
Urban Region Embedding via Multi-View Contrastive Prediction. AAAI 2024: 8724-8732 - [c22]Zheng Chen, Zongwei Wu, Eduard Zamfir, Kai Zhang, Yulun Zhang, Radu Timofte, Xiaokang Yang, Hongyuan Yu, Cheng Wan, Yuxin Hong, Zhijuan Huang, Yajun Zou, Yuan Huang, Jiamin Lin, Bingnan Han, Xianyu Guan, Yongsheng Yu, Daoan Zhang, Xuanwu Yin, Kunlong Zuo, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Hongyu An, Xinfeng Zhang, Zhiyuan Song, Ziyue Dong, Qing Zhao, Xiaogang Xu, Pengxu Wei, Zhi-Chao Dou, Gui-Ling Wang, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Cansu Korkmaz, A. Murat Tekalp, Yubin Wei, Xiaole Yan, Binren Li, Haonan Chen, Siqi Zhang, Sihan Chen, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Anjali Sarvaiya, Pooja Choksy, Jagrit Joshi, Shubh Kawa, Kishor P. Upla, Sushrut Patwardhan, Raghavendra Ramachandra, Sadat Hossain, Geongi Park, S. M. Nadim Uddin, Hao Xu, Yanhui Guo, Aman Urumbekov, Xingzhuo Yan, Wei Hao, Minghan Fu, Isaac Orais, Samuel Smith, Ying Liu, Wangwang Jia, Qisheng Xu, Kele Xu, Weijun Yuan, Zhan Li, Wenqing Kuang, Ruijin Guan, Ruting Deng, Zhao Zhang, Bo Wang, Suiyi Zhao, Yan Luo, Yanyan Wei, Asif Hussain Khan, Christian Micheloni, Niki Martinel:
NTIRE 2024 Challenge on Image Super-Resolution (×4): Methods and Results. CVPR Workshops 2024: 6108-6132 - [c21]Yunpeng Qu, Kun Yuan, Kai Zhao, Qizhi Xie, Jinhua Hao, Ming Sun, Chao Zhou:
XPSR: Cross-Modal Priors for Diffusion-Based Image Super-Resolution. ECCV (11) 2024: 285-303 - [c20]Hongwei Jia, Meng Chen, Weiming Huang, Kai Zhao, Yongshun Gong:
Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences. IJCAI 2024: 2090-2098 - [c19]Dabin Zhang, Meng Chen, Weiming Huang, Yongshun Gong, Kai Zhao:
Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place Names. IJCAI 2024: 2533-2541 - [c18]Tianao Sun, Ke Fu, Weiming Huang, Kai Zhao, Yongshun Gong, Meng Chen:
Going Where, by Whom, and at What Time: Next Location Prediction Considering User Preference and Temporal Regularity. KDD 2024: 2784-2793 - [i13]Yunpeng Qu, Kun Yuan, Kai Zhao, Qizhi Xie, Jinhua Hao, Ming Sun, Chao Zhou:
XPSR: Cross-modal Priors for Diffusion-based Image Super-Resolution. CoRR abs/2403.05049 (2024) - [i12]Haolan Chen, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Wei Hu:
CasSR: Activating Image Power for Real-World Image Super-Resolution. CoRR abs/2403.11451 (2024) - [i11]Zheng Chen, Zongwei Wu, Eduard Zamfir, Kai Zhang, Yulun Zhang, Radu Timofte, Xiaokang Yang, Hongyuan Yu, Cheng Wan, Yuxin Hong, Zhijuan Huang, Yajun Zou, Yuan Huang, Jiamin Lin, Bingnan Han, Xianyu Guan, Yongsheng Yu, Daoan Zhang, Xuanwu Yin, Kunlong Zuo, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Hongyu An, Xinfeng Zhang, Zhiyuan Song, Ziyue Dong, Qing Zhao, Xiaogang Xu, Pengxu Wei, Zhi-Chao Dou, Gui-Ling Wang, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Cansu Korkmaz, A. Murat Tekalp, Yubin Wei, Xiaole Yan, Binren Li, Haonan Chen, Siqi Zhang, Sihan Chen, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Anjali Sarvaiya, Pooja Choksy, Jagrit Joshi, Shubh Kawa, Kishor P. Upla, Sushrut Patwardhan, Raghavendra Ramachandra, Sadat Hossain, Geongi Park, S. M. Nadim Uddin, Hao Xu, Yanhui Guo, Aman Urumbekov, Xingzhuo Yan, Wei Hao, Minghan Fu, Isaac Orais, Samuel Smith, Ying Liu, Wangwang Jia, Qisheng Xu, Kele Xu, Weijun Yuan, Zhan Li, Wenqing Kuang, Ruijin Guan, Ruting Deng, Zhao Zhang, Bo Wang, Suiyi Zhao, Yan Luo, Yanyan Wei, Asif Hussain Khan, Christian Micheloni, Niki Martinel:
NTIRE 2024 Challenge on Image Super-Resolution (⨉4): Methods and Results. CoRR abs/2404.09790 (2024) - 2023
- [j10]Qinpei Zhao, Guangda Yang, Kai Zhao, Jiaming Yin, Weixiong Rao, Lei Chen:
Multivariate Time-Series Forecasting Model: Predictability Analysis and Empirical Study. IEEE Trans. Big Data 9(6): 1536-1548 (2023) - [j9]Chao Zhang, Kai Zhao, Meng Chen:
Beyond the Limits of Predictability in Human Mobility Prediction: Context-Transition Predictability. IEEE Trans. Knowl. Data Eng. 35(5): 4514-4526 (2023) - [c17]Zihan Wang, Kai Zhao, Yongquan He, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations. CIKM 2023: 2534-2543 - [c16]Kai Zhao, Kun Yuan, Ming Sun, Xing Wen:
Zoom-VQA: Patches, Frames and Clips Integration for Video Quality Assessment. CVPR Workshops 2023: 1302-1310 - [c15]Xiaohong Liu, Xiongkuo Min, Wei Sun, Yulun Zhang, Kai Zhang, Radu Timofte, Guangtao Zhai, Yixuan Gao, Yuqin Cao, Tengchuan Kou, Yunlong Dong, Ziheng Jia, Yilin Li, Kai Zhao, Heng Cong, Hang Shi, Zhiliang Ma, Mirko Agarla, Zhiwei Huang, Hongye Liu, Ironhead Chuang, Haotian Fan, Shiqi Zhou, Yu Lai, Wenqi Wang, Haoning Wu, Chunzheng Zhu, Shiling Zhao, Hanene Brachemi Meftah, Tengfei Shi, Azadeh Mansouri:
NTIRE 2023 Quality Assessment of Video Enhancement Challenge. CVPR Workshops 2023: 1551-1569 - [c14]Kai Zhao, Kun Yuan, Ming Sun, Mading Li, Xing Wen:
Quality-aware Pretrained Models for Blind Image Quality Assessment. CVPR 2023: 22302-22313 - [c13]Yougang Lyu, Jitai Hao, Zihan Wang, Kai Zhao, Shen Gao, Pengjie Ren, Zhumin Chen, Fang Wang, Zhaochun Ren:
Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning. EMNLP (Findings) 2023: 2198-2209 - [c12]Dabin Zhang, Ronghui Xu, Weiming Huang, Kai Zhao, Meng Chen:
Towards an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information. IJCAI 2023: 2441-2449 - [i10]Kai Zhao, Kun Yuan, Ming Sun, Mading Li, Xing Wen:
Quality-aware Pre-trained Models for Blind Image Quality Assessment. CoRR abs/2303.00521 (2023) - [i9]Kai Zhao, Kun Yuan, Ming Sun, Xing Wen:
Zoom-VQA: Patches, Frames and Clips Integration for Video Quality Assessment. CoRR abs/2304.06440 (2023) - [i8]Zihan Wang, Kai Zhao, Yongquan He, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations. CoRR abs/2305.10531 (2023) - [i7]Xiaohong Liu, Xiongkuo Min, Wei Sun, Yulun Zhang, Kai Zhang, Radu Timofte, Guangtao Zhai, Yixuan Gao, Yuqin Cao, Tengchuan Kou, Yunlong Dong, Ziheng Jia, Yilin Li, Wei Wu, Shuming Hu, Sibin Deng, Pengxiang Xiao, Ying Chen, Kai Li, Kai Zhao, Kun Yuan, Ming Sun, Heng Cong, Hao Wang, Lingzhi Fu, Yusheng Zhang, Rongyu Zhang, Hang Shi, Qihang Xu, Longan Xiao, Zhiliang Ma, Mirko Agarla, Luigi Celona, Claudio Rota, Raimondo Schettini, Zhiwei Huang, Yanan Li, Xiaotao Wang, Lei Lei, Hongye Liu, Wei Hong, Ironhead Chuang, Allen Lin, Drake Guan, Iris Chen, Kae Lou, Willy Huang, Yachun Tasi, Yvonne Kao, Haotian Fan, Fangyuan Kong, Shiqi Zhou, Hao Liu, Yu Lai, Shanshan Chen, Wenqi Wang, Haoning Wu, Chaofeng Chen, Chunzheng Zhu, Zekun Guo, Shiling Zhao, Haibing Yin, Hongkui Wang, Hanene Brachemi Meftah, Sid Ahmed Fezza, Wassim Hamidouche, Olivier Déforges, Tengfei Shi, Azadeh Mansouri, Hossein Motamednia, Amir Hossein Bakhtiari, Ahmad Mahmoudi Aznaveh:
NTIRE 2023 Quality Assessment of Video Enhancement Challenge. CoRR abs/2307.09729 (2023) - [i6]Yougang Lyu, Jitai Hao, Zihan Wang, Kai Zhao, Shen Gao, Pengjie Ren, Zhumin Chen, Fang Wang, Zhaochun Ren:
Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning. CoRR abs/2312.05762 (2023) - [i5]Zechen Li, Weiming Huang, Kai Zhao, Min Yang, Yongshun Gong, Meng Chen:
Urban Region Embedding via Multi-View Contrastive Prediction. CoRR abs/2312.09681 (2023) - 2022
- [j8]Tianao Sun, Kai Zhao, Chao Zhang, Meng Chen, Xiaohui Yu:
PR-LTTE: Link travel time estimation based on path recovery from large-scale incomplete trip data. Inf. Sci. 589: 34-45 (2022) - [j7]Shengjie Zhao, Kai Zhao, Yusen Xia, Wenzhen Jia:
Hyper-clustering enhanced spatio-temporal deep learning for traffic and demand prediction in bike-sharing systems. Inf. Sci. 612: 626-637 (2022) - [c11]Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Radu Timofte, Yuan Gong, Shanshan Lao, Shuwei Shi, Jiahao Wang, Sidi Yang, Tianhe Wu, Weihao Xia, Yujiu Yang, Mingdeng Cao, Cong Heng, Lingzhi Fu, Rongyu Zhang, Yusheng Zhang, Hao Wang, Hongjian Song, Jing Wang, Haotian Fan, Xiaoxia Hou, Ming Sun, Mading Li, Kai Zhao, Kun Yuan, Zishang Kong, Mingda Wu, Chuanchuan Zheng, Marcos V. Conde, Maxime Burchi, Longtao Feng, Tao Zhang, Yang Li, Jingwen Xu, Haiqiang Wang, Yiting Liao, Junlin Li, Kele Xu, Tao Sun, Yunsheng Xiong, Abhisek Keshari, Komal, Sadbhawana Thakur, Vinit Jakhetiya, Badri N. Subudhi, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Anil Kumar Tiwari:
NTIRE 2022 Challenge on Perceptual Image Quality Assessment. CVPR Workshops 2022: 950-966 - 2021
- [j6]Kai Zhao, Denis Khryashchev, Huy T. Vo:
Predicting Taxi and Uber Demand in Cities: Approaching the Limit of Predictability. IEEE Trans. Knowl. Data Eng. 33(6): 2723-2736 (2021) - [i4]Linfang Tian, Kai Zhao, Jiaming Yin, Huy Vo, Weixiong Rao:
The Levy Flight of Cities: Analyzing Social-Economical Trajectories with Auto-Embedding. CoRR abs/2112.14594 (2021) - 2020
- [j5]Ayman Zeidan, Eemil Lagerspetz, Kai Zhao, Petteri Nurmi, Sasu Tarkoma, Huy T. Vo:
GeoMatch: Efficient Large-scale Map Matching on Apache Spark. Trans. Data Sci. 1(3): 21:1-21:30 (2020)
2010 – 2019
- 2019
- [j4]Wenzhen Jia, Yanyan Tan, Li Liu, Jing Li, Huaxiang Zhang, Kai Zhao:
Hierarchical prediction based on two-level Gaussian mixture model clustering for bike-sharing system. Knowl. Based Syst. 178: 84-97 (2019) - [c10]Jiaming Yin, Weixiong Rao, Mingxuan Yuan, Jia Zeng, Kai Zhao, Chenxi Zhang, Jiangfeng Li, Qinpei Zhao:
Experimental Study of Multivariate Time Series Forecasting Models. CIKM 2019: 2833-2839 - [c9]Yige Zhang, Yu Xiao, Kai Zhao, Weixiong Rao:
DeepLoc: deep neural network-based telco localization. MobiQuitous 2019: 258-267 - 2018
- [c8]Ayman Zeidan, Eemil Lagerspetz, Kai Zhao, Petteri Nurmi, Sasu Tarkoma, Huy T. Vo:
GeoMatch: Efficient Large-Scale Map Matching on Apache Spark. IEEE BigData 2018: 384-391 - 2017
- [j3]Fabio Miranda, Harish Doraiswamy, Marcos Lage, Kai Zhao, Bruno Gonçalves, Luc Wilson, Mondrian Hsieh, Cláudio T. Silva:
Urban Pulse: Capturing the Rhythm of Cities. IEEE Trans. Vis. Comput. Graph. 23(1): 791-800 (2017) - 2016
- [j2]Juliana Freire, Aline Bessa, Fernando Chirigati, Huy T. Vo, Kai Zhao:
Exploring What not to Clean in Urban Data: A Study Using New York City Taxi Trips. IEEE Data Eng. Bull. 39(2): 63-77 (2016) - [c7]Kai Zhao, Denis Khryashchev, Juliana Freire, Cláudio T. Silva, Huy T. Vo:
Predicting taxi demand at high spatial resolution: Approaching the limit of predictability. IEEE BigData 2016: 833-842 - [c6]Kai Zhao, Sasu Tarkoma, Siyuan Liu, Huy T. Vo:
Urban human mobility data mining: An overview. IEEE BigData 2016: 1911-1920 - [i3]Kai Zhao, C. Mohan Prasath, Sasu Tarkoma:
Automatic City Region Analysis for Urban Routing. CoRR abs/1602.00994 (2016) - [i2]Fabio Miranda, Harish Doraiswamy, Marcos Lage, Kai Zhao, Bruno Gonçalves, Luc Wilson, Mondrian Hsieh, Cláudio T. Silva:
Urban Pulse: Capturing the Rhythm of Cities. CoRR abs/1608.06949 (2016) - 2015
- [j1]Weixiong Rao, Kai Zhao, Yan Zhang, Pan Hui, Sasu Tarkoma:
Towards Maximizing Timely Content Delivery in Delay Tolerant Networks. IEEE Trans. Mob. Comput. 14(4): 755-769 (2015) - [c5]Kai Zhao, Mohan Prasath Chinnasamy, Sasu Tarkoma:
Automatic City Region Analysis for Urban Routing. ICDM Workshops 2015: 1136-1142 - [c4]Kai Zhao:
Urban Mobility and Networking. MobiSys PhDForum 2015: 17-18 - 2014
- [i1]Kai Zhao, Mirco Musolesi, Pan Hui, Weixiong Rao, Sasu Tarkoma:
Explaining the Power-law Distribution of Human Mobility Through Transportation Modality Decomposition. CoRR abs/1408.4910 (2014) - 2013
- [c3]Samuli Hemminki, Kai Zhao, Aaron Yi Ding, Martti Rannanjärvi, Sasu Tarkoma, Petteri Nurmi:
CoSense: a collaborative sensing platform for mobile devices. SenSys 2013: 34:1-34:2 - 2012
- [c2]Weixiong Rao, Kai Zhao, Yan Zhans, Pan Hui, Sasu Tarkoma:
Maximizing timely content advertising in DTNs. SECON 2012: 254-262 - [c1]Weixiong Rao, Kai Zhao, Eemil Lagerspetz, Pan Hui, Sasu Tarkoma:
Energy-aware keyword search on mobile phones. MCC@SIGCOMM 2012: 59-64
Coauthor Index
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