Jun Rao

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 30

Top Topics

Distributed Stream Processing

Reinforcement Learning

Dynamic Programming

Top Venues

IEEE Trans. Syst. Man Cybern. Syst.

Proc. VLDB Endow.

IEEE Trans. Multim.

Publications

Jun Rao, Xv Meng, Liang Ding, Shuhan Qi, Xuebo Liu, Min Zhang, Dacheng Tao
Parameter-Efficient and Student-Friendly Knowledge Distillation. IEEE Trans. Multim. 26 (2024)
Xinyu Ma, Xuebo Liu, Derek F. Wong, Jun Rao, Bei Li, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang
3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset. LREC/COLING (2024)
Jiahui Xu, Jingcheng Wang, Jun Rao, Yanjiu Zhong, Shunyu Wu, Qifang Sun
Parallel Cross Entropy Policy Gradient Adaptive Dynamic Programming for Optimal Tracking Control of Discrete-Time Nonlinear Systems. IEEE Trans. Syst. Man Cybern. Syst. 54 (6) (2024)
Jiahui Xu, Jingcheng Wang, Yanjiu Zhong, Jun Rao, Shunyu Wu
Reinforcement Learning Controller Design for Discrete-Time-Constrained Nonlinear Systems With Weight Initialization Method. IEEE Trans. Syst. Man Cybern. Syst. 54 (4) (2024)
Jiahui Xu, Jingcheng Wang, Jun Rao, Shunyu Wu, Yanjiu Zhong
Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems With Trajectory-Based Initial Control Policy. IEEE Trans. Syst. Man Cybern. Syst. 54 (3) (2024)
Yanjiu Zhong, Jingcheng Wang, Jiahui Xu, Shunyu Wu, Jun Rao, Kangbo Dang
Prediction of Energy Consumption in Horizontal Roughing Process of Hot Rolling Strip Based on TDADE Algorithm. IEEE Trans Autom. Sci. Eng. 21 (1) (2024)
Xinyu Ma, Xuebo Liu, Derek F. Wong, Jun Rao, Bei Li, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang
3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset. CoRR (2024)
Yanjiu Zhong, Jingcheng Wang, Jun Rao, Jiahui Xu, Shunyu Wu
A Novel Series-Concatenation Hybrid Prediction Model of Energy Consumption in Hot Strip Roughing Process With Multi-Step Rolling. IEEE Trans Autom. Sci. Eng. 21 (3) (2024)
Jun Rao, Jingcheng Wang, Jiahui Xu, Shunyu Wu
Adaptive Optimal Control of Nonlinear Systems with Multiple Time-Scale Eligibility Traces. CDC (2023)
Jun Rao, Liang Ding, Shuhan Qi, Meng Fang, Yang Liu, Li Shen, Dacheng Tao
Dynamic Contrastive Distillation for Image-Text Retrieval. IEEE Trans. Multim. 25 (2023)
Yanjiu Zhong, Jingcheng Wang, Jiahui Xu, Jun Rao, Kangbo Dang
Data-driven width spread prediction model improvement and parameters optimization in hot strip rolling process. Appl. Intell. 53 (21) (2023)
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
Kora: A Cloud-Native Event Streaming Platform for Kafka. Proc. VLDB Endow. 16 (12) (2023)
Fei Wang, Liang Ding, Jun Rao, Ye Liu, Li Shen, Changxing Ding
Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining? CoRR (2023)
Shuhan Qi, Zhengying Cao, Jun Rao, Lei Wang, Jing Xiao, Xuan Wang
What is the limitation of multimodal LLMs? A deeper look into multimodal LLMs through prompt probing. Inf. Process. Manag. 60 (6) (2023)
Xue-Li Yang, Ming-Yao Liu, Han Song, Jun Rao, Yi-Hang Wu
Optimization and Invasive Monitoring for the Local Flow Velocity Maldistribution in Plate-Fin Heat Exchangers. IEEE Trans. Instrum. Meas. 72 (2023)
Xin Zhang, Wen Xie, Ziqi Dai, Jun Rao, Haokun Wen, Xuan Luo, Meishan Zhang, Min Zhang
Finetuning Language Models for Multimodal Question Answering. ACM Multimedia (2023)
Jun Rao, Liang Ding, Shuhan Qi, Meng Fang, Yang Liu, Li Shen, Dacheng Tao
Dynamic Contrastive Distillation for Image-Text Retrieval. CoRR (2022)
Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao
Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval. SIGIR (2022)
Jun Rao, Xv Meng, Liang Ding, Shuhan Qi, Dacheng Tao
Parameter-Efficient and Student-Friendly Knowledge Distillation. CoRR (2022)
Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao
Where Does the Performance Improvement Come From? - A Reproducibility Concern about Image-Text Retrieval. CoRR (2022)
Jun Rao, Tao Qian, Shuhan Qi, Yulin Wu, Qing Liao, Xuan Wang
Student Can Also be a Good Teacher: Extracting Knowledge from Vision-and-Language Model for Cross-Modal Retrieval. CIKM (2021)
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
Consistency and Completeness: Rethinking Distributed Stream Processing in Apache Kafka. SIGMOD Conference (2021)
Mingyan Wu, Shuhan Qi, Jun Rao, Jiajia Zhang, Qing Liao, Xuan Wang, Xinxin Liao
Hierarchical Semantic Enhanced Directional Graph Network for Visual Commonsense Reasoning. Trustworthy AI @ ACM Multimedia (2021)
Jun Rao, Yue Cao, Shuhan Qi, Zeyu Dong, Tao Qian, Xuan Wang
Watch and Buy: A Practical Solution for Real-time Fashion Product Identification in Live Stream. WAB @ ACM Multimedia (2021)
Jiahui Xu, Hongyuan Wang, Jun Rao, Jingcheng Wang
Zone scheduling optimization of pumps in water distribution networks with deep reinforcement learning and knowledge-assisted learning. Soft Comput. 25 (23) (2021)
Wen Wang, Wei Zhang, Jun Rao, Zhijie Qiu, Bo Zhang, Leyu Lin, Hongyuan Zha
Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation. SIGIR (2020)
Ruobing Xie, Zhijie Qiu, Jun Rao, Yi Liu, Bo Zhang, Leyu Lin
Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation. IJCAI (2020)
Ye Li, Lili Guo, Jun Rao, Lele Xu, Shan Jin
Road Segmentation Based on Hybrid Convolutional Network for High-Resolution Visible Remote Sensing Image. IEEE Geosci. Remote. Sens. Lett. 16 (4) (2019)
Jun Rao, Hao Feng, Zhiyong Chen
Exploiting user mobility for D2D assisted wireless caching networks. WCSP (2016)
Jun Rao, Hao Feng, Chenchen Yang, Zhiyong Chen, Bin Xia
Optimal caching placement for D2D assisted wireless caching networks. ICC (2016)
Guozhang Wang, Joel Koshy, Sriram Subramanian, Kartik Paramasivam, Mammad Zadeh, Neha Narkhede, Jun Rao, Jay Kreps, Joe Stein
Building a Replicated Logging System with Apache Kafka. Proc. VLDB Endow. 8 (12) (2015)
Raul Castro Fernandez, Peter R. Pietzuch, Jay Kreps, Neha Narkhede, Jun Rao, Joel Koshy, Dong Lin, Chris Riccomini, Guozhang Wang
Liquid: Unifying Nearline and Offline Big Data Integration. CIDR (2015)
Jun Rao, Hao Feng, Chenchen Yang, Zhiyong Chen, Bin Xia
Optimal Caching Placement for D2D Assisted Wireless Caching Networks. CoRR (2015)
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
Data Infrastructure at LinkedIn. ICDE (2012)
Ken Goodhope, Joel Koshy, Jay Kreps, Neha Narkhede, Richard Park, Jun Rao, Victor Yang Ye
Building LinkedIn's Real-time Activity Data Pipeline. IEEE Data Eng. Bull. 35 (2) (2012)
Yuxiao Dong, Qing Ke, Jun Rao, Bai Wang, Bin Wu
Random Walk Based Resource Allocation: Predicting and Recommending Links in Cross-Operator Mobile Communication Networks. ICDM Workshops (2011)
Jun Rao, Eugene J. Shekita, Sandeep Tata
Using Paxos to Build a Scalable, Consistent, and Highly Available Datastore CoRR (2011)
Jun Rao, Eugene J. Shekita, Sandeep Tata
Using Paxos to Build a Scalable, Consistent, and Highly Available Datastore. Proc. VLDB Endow. 4 (4) (2011)
Yuxiao Dong, Qing Ke, Jun Rao, Bin Wu
Predicting missing links via local feature of common neighbors. FSKD (2011)
Spyros Blanas, Jignesh M. Patel, Vuk Ercegovac, Jun Rao, Eugene J. Shekita, Yuanyuan Tian
A comparison of join algorithms for log processing in MaPreduce. SIGMOD Conference (2010)
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
Towards a Scalable Enterprise Content Analytics Platform. IEEE Data Eng. Bull. 32 (1) (2009)
Fengde Guo, Jun Rao
Research and Practice in Analog Circuit Experiment Teaching. ETT (2009)
Wei You, Song Fan, Songlin Wang, Chuanli Yan, Xiangzhou Zhu, Jun Rao
Predicting the Dielectric Constants of (Zr0.7Sn0.3)TiO4 Ceramics Using Artificial Neural Network. ISCID (2) (2009)
Ning Li, Jun Rao, Eugene J. Shekita, Sandeep Tata
Leveraging a scalable row store to build a distributed text index. CloudDB@CIKM (2009)
Akanksha Baid, Andrey Balmin, Heasoo Hwang, Erik Nijkamp, Jun Rao, Berthold Reinwald, Alkis Simitsis, Yannis Sismanis, Frank van Ham
DBPubs: multidimensional exploration of database publications. Proc. VLDB Endow. 1 (2) (2008)
Debabrata Dash, Jun Rao, Nimrod Megiddo, Anastasia Ailamaki, Guy M. Lohman
Dynamic faceted search for discovery-driven analysis. CIKM (2008)
Bishwaranjan Bhattacharjee, Joseph S. Glider, Richard A. Golding, Guy M. Lohman, Volker Markl, Hamid Pirahesh, Jun Rao, Robert M. Rees, Garret Swart
Impliance: A Next Generation Information Management Appliance. CIDR (2007)
Jun Rao, Sangeeta Doraiswamy, Hetal Thakkar, Latha S. Colby
A Deferred Cleansing Method for RFID Data Analytics. VLDB (2006)
Sam Lightstone, Guy M. Lohman, Peter J. Haas, Volker Markl, Jun Rao, Adam J. Storm, Maheswaran Surendra, Daniel C. Zilio
Making DB2Products Self-Managing: Strategies and Experiences. IEEE Data Eng. Bull. 29 (3) (2006)
Jun Rao, Hamid Pirahesh, C. Mohan, Guy M. Lohman
Compiled Query Execution Engine using JVM. ICDE (2006)
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
Impliance: A Next Generation Information Management Appliance CoRR (2006)
Kenneth A. Ross, John Cieslewicz, Jun Rao, Jingren Zhou
Architecture Sensitive Database Design: Examples from the Columbia Group. IEEE Data Eng. Bull. 28 (2) (2005)
Jun Rao, Hamid Pirahesh, Calisto Zuzarte
Canonical Abstraction for Outerjoin Optimization. SIGMOD Conference (2004)
Daniel C. Zilio, Jun Rao, Sam Lightstone, Guy M. Lohman, Adam J. Storm, Christian Garcia-Arellano, Scott Fadden
DB2 Design Advisor: Integrated Automatic Physical Database Design. VLDB (2004)
Kenneth A. Ross, Johannes Gehrke, Jun Rao
Reminiscences on Influential Papers. SIGMOD Rec. 32 (4) (2003)
Ihab F. Ilyas, Jun Rao, Guy M. Lohman, Dengfeng Gao, Eileen Tien Lin
Estimating Compilation Time of a Query Optimizer. SIGMOD Conference (2003)
Jun Rao, Chun Zhang, Nimrod Megiddo, Guy M. Lohman
Automating physical database design in a parallel database. SIGMOD Conference (2002)
Jun Rao, Bruce G. Lindsay, Guy M. Lohman, Hamid Pirahesh, David E. Simmen
Using EELs, a Practical Approach to Outerjoin and Antijoin Reordering. ICDE (2001)
Ashish Gupta, Inderpal Singh Mumick, Jun Rao, Kenneth A. Ross
Adapting materialized views after redefinitions: techniques and a performance study. Inf. Syst. 26 (5) (2001)
Jun Rao, Kenneth A. Ross
-Trees Cache Conscious in Main Memory. SIGMOD Conference (2000)
Jun Rao, Kenneth A. Ross
Cache Conscious Indexing for Decision-Support in Main Memory. VLDB (1999)
Jun Rao, Kenneth A. Ross
Reusing Invariants: A New Strategy for Correlated Queries. SIGMOD Conference (1998)