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ORCIDJun Rao
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- affiliation: Columbia University, New York City, USA
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2020 – today
- 2024
[j22]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): 555-568 (2024)- [j21]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): 4585-4598 (2024) - [j20]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: 4230-4241 (2024) - [j19]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): 1489-1501 (2024) - [j18]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): 2368-2378 (2024) - [j17]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): 3809-3821 (2024) - [c35]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: 1-13 - [c34]Jun Rao, Xuebo Liu, Lian Lian, Shengjun Cheng, Yunjie Liao, Min Zhang:
CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions. EMNLP 2024: 10064-10083 - [c33]Liangxin Liu, Xuebo Liu, Lian Lian, Shengjun Cheng, Jun Rao, Tengfei Yu, Hexuan Deng, Min Zhang:
Curriculum Consistency Learning for Conditional Sentence Generation. EMNLP 2024: 13865-13881 - [c32]Xv Meng, Jun Rao, Shuhan Qi, Lei Wang, Jing Xiao, Xuan Wang:
Harnessing the Power of Prompt Experts: Efficient Knowledge Distillation for Enhanced Language Understanding. ECML/PKDD (8) 2024: 218-234 - [i10]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 abs/2404.18413 (2024) - [i9]Jun Rao, Xuebo Liu, Zepeng Lin, Liang Ding, Jing Li, Dacheng Tao, Min Zhang:
Exploring and Enhancing the Transfer of Distribution in Knowledge Distillation for Autoregressive Language Models. CoRR abs/2409.12512 (2024) - [i8]Jun Rao, Xuebo Liu, Lian Lian, Shengjun Cheng, Yunjie Liao, Min Zhang:
CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions. CoRR abs/2410.03077 (2024) - 2023
- [j16]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): 25752-25770 (2023) - [j15]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): 103510 (2023) - [j14]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): 3822-3834 (2023) - [j13]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: 1-10 (2023) - [j12]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: 8383-8395 (2023) - [c31]Jun Rao, Jingcheng Wang, Jiahui Xu, Shunyu Wu:
Adaptive Optimal Control of Nonlinear Systems with Multiple Time-Scale Eligibility Traces. CDC 2023: 2258-2263 - [c30]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: 9420-9424 - [i7]Fei Wang, Liang Ding, Jun Rao, Ye Liu, Li Shen, Changxing Ding:
Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining? CoRR abs/2308.12898 (2023) - 2022
- [c29]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: 2727-2737 - [i6]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 abs/2203.03853 (2022) - [i5]Jun Rao, Xv Meng, Liang Ding, Shuhan Qi, Dacheng Tao:
Parameter-Efficient and Student-Friendly Knowledge Distillation. CoRR abs/2205.15308 (2022) - [i4]Jun Rao, Liang Ding, Shuhan Qi, Meng Fang, Yang Liu, Li Shen, Dacheng Tao:
Dynamic Contrastive Distillation for Image-Text Retrieval. CoRR abs/2207.01426 (2022) - 2021
- [j11]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): 14757-14767 (2021) - [c28]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: 3383-3387 - [c27]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: 23-31 - [c26]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: 27-36 - [c25]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: 2602-2613 - 2020
- [c24]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: 2732-2738 - [c23]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: 1449-1458
2010 – 2019
- 2019
- [j10]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): 613-617 (2019) - 2016
- [c22]Jun Rao, Hao Feng, Chenchen Yang, Zhiyong Chen, Bin Xia:
Optimal caching placement for D2D assisted wireless caching networks. ICC 2016: 1-6 - [c21]Jun Rao, Hao Feng, Zhiyong Chen:
Exploiting user mobility for D2D assisted wireless caching networks. WCSP 2016: 1-5 - 2015
- [j9]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): 1654-1655 (2015) - [c20]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 - [i3]Jun Rao, Hao Feng, Chenchen Yang, Zhiyong Chen, Bin Xia:
Optimal Caching Placement for D2D Assisted Wireless Caching Networks. CoRR abs/1510.07865 (2015) - 2012
- [j8]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): 33-45 (2012) - [c19]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: 1370-1381 - 2011
- [j7]Jun Rao, Eugene J. Shekita, Sandeep Tata:
Using Paxos to Build a Scalable, Consistent, and Highly Available Datastore. Proc. VLDB Endow. 4(4): 243-254 (2011) - [c18]Yuxiao Dong, Qing Ke, Jun Rao, Bin Wu:
Predicting missing links via local feature of common neighbors. FSKD 2011: 1038-1042 - [c17]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: 358-365 - [i2]Jun Rao, Eugene J. Shekita, Sandeep Tata:
Using Paxos to Build a Scalable, Consistent, and Highly Available Datastore. CoRR abs/1103.2408 (2011) - 2010
- [c16]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: 975-986
2000 – 2009
- 2009
- [j6]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): 28-35 (2009) - [c15]Ning Li, Jun Rao, Eugene J. Shekita, Sandeep Tata:
Leveraging a scalable row store to build a distributed text index. CloudDB@CIKM 2009: 29-36 - [c14]Fengde Guo, Jun Rao:
Research and Practice in Analog Circuit Experiment Teaching. ETT 2009: 144-145 - [c13]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: 395-399 - 2008
- [j5]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): 1456-1459 (2008) - [c12]Debabrata Dash, Jun Rao, Nimrod Megiddo, Anastasia Ailamaki, Guy M. Lohman:
Dynamic faceted search for discovery-driven analysis. CIKM 2008: 3-12 - 2007
- [c11]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: 351-362 - 2006
- [j4]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): 16-23 (2006) - [c10]Jun Rao, Hamid Pirahesh, C. Mohan, Guy M. Lohman:
Compiled Query Execution Engine using JVM. ICDE 2006: 23 - [c9]Jun Rao, Sangeeta Doraiswamy, Hetal Thakkar, Latha S. Colby:
A Deferred Cleansing Method for RFID Data Analytics. VLDB 2006: 175-186 - [i1]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 abs/cs/0612129 (2006) - 2005
- [j3]Kenneth A. Ross, John Cieslewicz, Jun Rao, Jingren Zhou:
Architecture Sensitive Database Design: Examples from the Columbia Group. IEEE Data Eng. Bull. 28(2): 5-10 (2005) - 2004
- [c8]Jun Rao, Hamid Pirahesh, Calisto Zuzarte:
Canonical Abstraction for Outerjoin Optimization. SIGMOD Conference 2004: 671-682 - [c7]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: 1087-1097 - 2003
- [j2]Kenneth A. Ross, Johannes Gehrke, Jun Rao:
Reminiscences on Influential Papers. SIGMOD Rec. 32(4): 104-105 (2003) - [c6]Ihab F. Ilyas, Jun Rao, Guy M. Lohman, Dengfeng Gao, Eileen Tien Lin:
Estimating Compilation Time of a Query Optimizer. SIGMOD Conference 2003: 373-384 - 2002
- [c5]Jun Rao, Chun Zhang, Nimrod Megiddo, Guy M. Lohman:
Automating physical database design in a parallel database. SIGMOD Conference 2002: 558-569 - 2001
- [j1]Ashish Gupta, Inderpal Singh Mumick, Jun Rao, Kenneth A. Ross:
Adapting materialized views after redefinitions: techniques and a performance study. Inf. Syst. 26(5): 323-362 (2001) - [c4]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: 585-594 - 2000
- [c3]Jun Rao, Kenneth A. Ross:
Making B+-Trees Cache Conscious in Main Memory. SIGMOD Conference 2000: 475-486
1990 – 1999
- 1999
- [c2]Jun Rao, Kenneth A. Ross:
Cache Conscious Indexing for Decision-Support in Main Memory. VLDB 1999: 78-89 - 1998
- [c1]Jun Rao, Kenneth A. Ross:
Reusing Invariants: A New Strategy for Correlated Queries. SIGMOD Conference 1998: 37-48
Coauthor Index
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