Jun Rao

According to our database, Jun Rao authored at least 61 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Novel Series-Concatenation Hybrid Prediction Model of Energy Consumption in Hot Strip Roughing Process With Multi-Step Rolling.

Yanjiu Zhong, Jingcheng Wang, Jun Rao, Jiahui Xu, Shunyu Wu

IEEE Trans Autom. Sci. Eng., July, 2024

Parallel Cross Entropy Policy Gradient Adaptive Dynamic Programming for Optimal Tracking Control of Discrete-Time Nonlinear Systems.

Jiahui Xu, Jingcheng Wang, Jun Rao, Yanjiu Zhong, Shunyu Wu, Qifang Sun

IEEE Trans. Syst. Man Cybern. Syst., June, 2024

Reinforcement Learning Controller Design for Discrete-Time-Constrained Nonlinear Systems With Weight Initialization Method.

Jiahui Xu, Jingcheng Wang, Yanjiu Zhong, Jun Rao, Shunyu Wu

IEEE Trans. Syst. Man Cybern. Syst., April, 2024

Prediction of Energy Consumption in Horizontal Roughing Process of Hot Rolling Strip Based on TDADE Algorithm.

Yanjiu Zhong, Jingcheng Wang, Jiahui Xu, Shunyu Wu, Jun Rao, Kangbo Dang

IEEE Trans Autom. Sci. Eng., January, 2024

Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems With Trajectory-Based Initial Control Policy.

Jiahui Xu, Jingcheng Wang, Jun Rao, Shunyu Wu, Yanjiu Zhong

IEEE Trans. Syst. Man Cybern. Syst., 2024

Parameter-Efficient and Student-Friendly Knowledge Distillation.

Jun Rao, Xv Meng, Liang Ding, Shuhan Qi, Xuebo Liu, Min Zhang, Dacheng Tao

IEEE Trans. Multim., 2024

Exploring and Enhancing the Transfer of Distribution in Knowledge Distillation for Autoregressive Language Models.

Jun Rao, Xuebo Liu, Zepeng Lin, Liang Ding, Jing Li, Dacheng Tao, Min Zhang

CoRR, 2024

Harnessing the Power of Prompt Experts: Efficient Knowledge Distillation for Enhanced Language Understanding.

Xv Meng, Jun Rao, Shuhan Qi, Lei Wang, Jing Xiao, Xuan Wang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024

CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions.

Jun Rao, Xuebo Liu, Lian Lian, Shengjun Cheng, Yunjie Liao, Min Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Curriculum Consistency Learning for Conditional Sentence Generation.

Liangxin Liu, Xuebo Liu, Lian Lian, Shengjun Cheng, Jun Rao, Tengfei Yu, Hexuan Deng, Min Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset.

Xinyu Ma, Xuebo Liu, Derek F. Wong, Jun Rao, Bei Li, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

What is the limitation of multimodal LLMs? A deeper look into multimodal LLMs through prompt probing.

Shuhan Qi, Zhengying Cao, Jun Rao, Lei Wang, Jing Xiao, Xuan Wang

Inf. Process. Manag., November, 2023

Data-driven width spread prediction model improvement and parameters optimization in hot strip rolling process.

Yanjiu Zhong, Jingcheng Wang, Jiahui Xu, Jun Rao, Kangbo Dang

Appl. Intell., November, 2023

Dynamic Contrastive Distillation for Image-Text Retrieval.

Jun Rao, Liang Ding, Shuhan Qi, Meng Fang, Yang Liu, Li Shen, Dacheng Tao

IEEE Trans. Multim., 2023

Optimization and Invasive Monitoring for the Local Flow Velocity Maldistribution in Plate-Fin Heat Exchangers.

Xue-Li Yang, Ming-Yao Liu, Han Song, Jun Rao, Yi-Hang Wu

IEEE Trans. Instrum. Meas., 2023

Kora: A Cloud-Native Event Streaming Platform for Kafka.

Anna Povzner, Prince Mahajan, Jason Gustafson, Jun Rao, Ismael Juma, Feng Min, Shriram Sridharan, Nikhil Bhatia, Gopi K. Attaluri, Adithya Chandra, Stanislav Kozlovski, Rajini Sivaram, Lucas Bradstreet, Bob Barrett, Dhruvil Shah, David Jacot, David Arthur, Manveer Chawla, Ron Dagostino, Colin Mccabe, Manikumar Reddy Obili, Kowshik Prakasam, Jose Garcia Sancio, Vikas Singh, Alok Nikhil, Kamal Gupta

Proc. VLDB Endow., 2023

Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining?

Fei Wang, Liang Ding, Jun Rao, Ye Liu, Li Shen, Changxing Ding

CoRR, 2023

Finetuning Language Models for Multimodal Question Answering.

Xin Zhang, Wen Xie, Ziqi Dai, Jun Rao, Haokun Wen, Xuan Luo, Meishan Zhang, Min Zhang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Adaptive Optimal Control of Nonlinear Systems with Multiple Time-Scale Eligibility Traces.

Jun Rao, Jingcheng Wang, Jiahui Xu, Shunyu Wu

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Parameter-Efficient and Student-Friendly Knowledge Distillation.

Jun Rao, Xv Meng, Liang Ding, Shuhan Qi, Dacheng Tao

CoRR, 2022

Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval.

Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Zone scheduling optimization of pumps in water distribution networks with deep reinforcement learning and knowledge-assisted learning.

Jiahui Xu, Hongyuan Wang, Jun Rao, Jingcheng Wang

Soft Comput., 2021

Consistency and Completeness: Rethinking Distributed Stream Processing in Apache Kafka.

Guozhang Wang, Lei Chen, Ayusman Dikshit, Jason Gustafson, Boyang Chen, Matthias J. Sax, John Roesler, Sophie Blee-Goldman, Bruno Cadonna, Apurva Mehta, Varun Madan, Jun Rao

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Hierarchical Semantic Enhanced Directional Graph Network for Visual Commonsense Reasoning.

Mingyan Wu, Shuhan Qi, Jun Rao, Jiajia Zhang, Qing Liao, Xuan Wang, Xinxin Liao

Proceedings of the Trustworthy AI'21: Proceedings of the 1st International Workshop on Trustworthy AI for Multimedia Computing, 2021

Watch and Buy: A Practical Solution for Real-time Fashion Product Identification in Live Stream.

Jun Rao, Yue Cao, Shuhan Qi, Zeyu Dong, Tao Qian, Xuan Wang

Proceedings of the WAB'21: Proceedings of the 1st Workshop on Multimodal Product Identification in Livestreaming and WAB Challenge, 2021

Student Can Also be a Good Teacher: Extracting Knowledge from Vision-and-Language Model for Cross-Modal Retrieval.

Jun Rao, Tao Qian, Shuhan Qi, Yulin Wu, Qing Liao, Xuan Wang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation.

Wen Wang, Wei Zhang, Jun Rao, Zhijie Qiu, Bo Zhang, Leyu Lin, Hongyuan Zha

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation.

Ruobing Xie, Zhijie Qiu, Jun Rao, Yi Liu, Bo Zhang, Leyu Lin

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Road Segmentation Based on Hybrid Convolutional Network for High-Resolution Visible Remote Sensing Image.

Ye Li, Lili Guo, Jun Rao, Lele Xu, Shan Jin

IEEE Geosci. Remote. Sens. Lett., 2019

2016

Exploiting user mobility for D2D assisted wireless caching networks.

Jun Rao, Hao Feng, Zhiyong Chen

Proceedings of the 8th International Conference on Wireless Communications & Signal Processing, 2016

Optimal caching placement for D2D assisted wireless caching networks.

Jun Rao, Hao Feng, Chenchen Yang, Zhiyong Chen, Bin Xia

Proceedings of the 2016 IEEE International Conference on Communications, 2016

2015

Building a Replicated Logging System with Apache Kafka.

Guozhang Wang, Joel Koshy, Sriram Subramanian, Kartik Paramasivam, Mammad Zadeh, Neha Narkhede, Jun Rao, Jay Kreps, Joe Stein

Proc. VLDB Endow., 2015

Liquid: Unifying Nearline and Offline Big Data Integration.

Raul Castro Fernandez, Peter R. Pietzuch, Jay Kreps, Neha Narkhede, Jun Rao, Joel Koshy, Dong Lin, Chris Riccomini, Guozhang Wang

Proceedings of the Seventh Biennial Conference on Innovative Data Systems Research, 2015

2012

Building LinkedIn's Real-time Activity Data Pipeline.

Ken Goodhope, Joel Koshy, Jay Kreps, Neha Narkhede, Richard Park, Jun Rao, Victor Yang Ye

IEEE Data Eng. Bull., 2012

Data Infrastructure at LinkedIn.

Aditya Auradkar, Chavdar Botev, Shirshanka Das, Dave De Maagd, Alex Feinberg, Phanindra Ganti, Lei Gao, Bhaskar Ghosh, Kishore Gopalakrishna, Brendan Harris, Joel Koshy, Kevin Krawez, Jay Kreps, Shi Lu, Sunil Nagaraj, Neha Narkhede, Sasha Pachev, Igor Perisic, Lin Qiao, Tom Quiggle, Jun Rao, Bob Schulman, Abraham Sebastian, Oliver Seeliger, Adam Silberstein, Boris Shkolnik, Chinmay Soman, Roshan Sumbaly, Kapil Surlaker, Sajid Topiwala, Cuong Tran, Balaji Varadarajan, Jemiah Westerman, Zach White, David Zhang, Jason Zhang

Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

2011

Using Paxos to Build a Scalable, Consistent, and Highly Available Datastore.

Jun Rao, Eugene J. Shekita, Sandeep Tata

Proc. VLDB Endow., 2011

Random Walk Based Resource Allocation: Predicting and Recommending Links in Cross-Operator Mobile Communication Networks.

Yuxiao Dong, Qing Ke, Jun Rao, Bai Wang, Bin Wu

Proceedings of the Data Mining Workshops (ICDMW), 2011

Predicting missing links via local feature of common neighbors.

Yuxiao Dong, Qing Ke, Jun Rao, Bin Wu

Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

2010

A comparison of join algorithms for log processing in MaPreduce.

Spyros Blanas, Jignesh M. Patel, Vuk Ercegovac, Jun Rao, Eugene J. Shekita, Yuanyuan Tian

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

2009

Towards a Scalable Enterprise Content Analytics Platform.

Kevin S. Beyer, Vuk Ercegovac, Rajasekar Krishnamurthy, Sriram Raghavan, Jun Rao, Frederick Reiss, Eugene J. Shekita, David E. Simmen, Sandeep Tata, Shivakumar Vaithyanathan, Huaiyu Zhu

IEEE Data Eng. Bull., 2009

Predicting the Dielectric Constants of (Zr0.7Sn0.3)TiO4 Ceramics Using Artificial Neural Network.

Wei You, Song Fan, Songlin Wang, Chuanli Yan, Xiangzhou Zhu, Jun Rao

Proceedings of the 2009 Second International Symposium on Computational Intelligence and Design, 2009

Research and Practice in Analog Circuit Experiment Teaching.

Fengde Guo, Jun Rao

Proceedings of the ETT 2009, 2009

Leveraging a scalable row store to build a distributed text index.

Ning Li, Jun Rao, Eugene J. Shekita, Sandeep Tata

Proceedings of the First International CIKM Workshop on Cloud Data Management, 2009

2008

DBPubs: multidimensional exploration of database publications.

Akanksha Baid, Andrey Balmin, Heasoo Hwang, Erik Nijkamp, Jun Rao, Berthold Reinwald, Alkis Simitsis, Yannis Sismanis, Frank van Ham

Proc. VLDB Endow., 2008

Dynamic faceted search for discovery-driven analysis.

Debabrata Dash, Jun Rao, Nimrod Megiddo, Anastasia Ailamaki, Guy M. Lohman

Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007

Impliance: A Next Generation Information Management Appliance.

Bishwaranjan Bhattacharjee, Joseph S. Glider, Richard A. Golding, Guy M. Lohman, Volker Markl, Hamid Pirahesh, Jun Rao, Robert M. Rees, Garret Swart

Proceedings of the Third Biennial Conference on Innovative Data Systems Research, 2007

2006

Making DB2Products Self-Managing: Strategies and Experiences.

Sam Lightstone, Guy M. Lohman, Peter J. Haas, Volker Markl, Jun Rao, Adam J. Storm, Maheswaran Surendra, Daniel C. Zilio

IEEE Data Eng. Bull., 2006

Impliance: A Next Generation Information Management Appliance

Bishwaranjan Bhattacharjee, Vuk Ercegovac, Joseph S. Glider, Richard A. Golding, Guy M. Lohman, Volker Markl, Hamid Pirahesh, Jun Rao, Robert M. Rees, Frederick Reiss, Eugene J. Shekita, Garret Swart

CoRR, 2006

A Deferred Cleansing Method for RFID Data Analytics.

Jun Rao, Sangeeta Doraiswamy, Hetal Thakkar, Latha S. Colby

Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

Compiled Query Execution Engine using JVM.

Jun Rao, Hamid Pirahesh, C. Mohan, Guy M. Lohman

Proceedings of the 22nd International Conference on Data Engineering, 2006

2005

Architecture Sensitive Database Design: Examples from the Columbia Group.

Kenneth A. Ross, John Cieslewicz, Jun Rao, Jingren Zhou

IEEE Data Eng. Bull., 2005

2004

DB2 Design Advisor: Integrated Automatic Physical Database Design.

Daniel C. Zilio, Jun Rao, Sam Lightstone, Guy M. Lohman, Adam J. Storm, Christian Garcia-Arellano, Scott Fadden

Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004

Canonical Abstraction for Outerjoin Optimization.

Jun Rao, Hamid Pirahesh, Calisto Zuzarte

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

2003

Reminiscences on Influential Papers.

Kenneth A. Ross, Johannes Gehrke, Jun Rao

SIGMOD Rec., 2003

Estimating Compilation Time of a Query Optimizer.

Ihab F. Ilyas, Jun Rao, Guy M. Lohman, Dengfeng Gao, Eileen Tien Lin

Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, 2003

2002

Automating physical database design in a parallel database.

Jun Rao, Chun Zhang, Nimrod Megiddo, Guy M. Lohman

Proceedings of the 2002 ACM SIGMOD International Conference on Management of Data, 2002

2001

Adapting materialized views after redefinitions: techniques and a performance study.

Ashish Gupta, Inderpal Singh Mumick, Jun Rao, Kenneth A. Ross

Inf. Syst., 2001

Using EELs, a Practical Approach to Outerjoin and Antijoin Reordering.

Jun Rao, Bruce G. Lindsay, Guy M. Lohman, Hamid Pirahesh, David E. Simmen

Proceedings of the 17th International Conference on Data Engineering, 2001

2000

Making B⁺-Trees Cache Conscious in Main Memory.

Jun Rao, Kenneth A. Ross

Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, 2000

1999

Cache Conscious Indexing for Decision-Support in Main Memory.

Jun Rao, Kenneth A. Ross

Proceedings of the VLDB'99, 1999

1998

Reusing Invariants: A New Strategy for Correlated Queries.

Jun Rao, Kenneth A. Ross

Proceedings of the SIGMOD 1998, 1998