Reusing Invariants: A New Strategy for Correlated Queries. - Jun Rao; Kenneth A. Ross (SIGMOD Conference, 1998)

Cache Conscious Indexing for Decision-Support in Main Memory. - Jun Rao; Kenneth A. Ross (VLDB, 1999)

Making B+-Trees Cache Conscious in Main Memory. - Jun Rao; Kenneth A. Ross (SIGMOD Conference, 2000)

Using EELs, a Practical Approach to Outerjoin and Antijoin Reordering. - Jun Rao; Bruce G. Lindsay 001; Guy M. Lohman; Hamid Pirahesh; David E. Simmen (ICDE, 2001)

Adapting materialized views after redefinitions: techniques and a performance study. - Ashish Gupta 001; Inderpal Singh Mumick; Jun Rao; Kenneth A. Ross (Inf. Syst., 2001)

Automating physical database design in a parallel database. - Jun Rao; Chun Zhang; Nimrod Megiddo; Guy M. Lohman (SIGMOD Conference, 2002)

Estimating Compilation Time of a Query Optimizer. - Ihab F. Ilyas; Jun Rao; Guy M. Lohman; Dengfeng Gao; Eileen Tien Lin (SIGMOD Conference, 2003)

Reminiscences on Influential Papers. - Kenneth A. Ross; Johannes Gehrke; Jun Rao (SIGMOD Rec., 2003)

Canonical Abstraction for Outerjoin Optimization. - Jun Rao; Hamid Pirahesh; Calisto Zuzarte (SIGMOD Conference, 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 (VLDB, 2004)

Architecture Sensitive Database Design: Examples from the Columbia Group. - Kenneth A. Ross; John Cieslewicz; Jun Rao; Jingren Zhou 001 (IEEE Data Eng. Bull., 2005)

Compiled Query Execution Engine using JVM. - Jun Rao; Hamid Pirahesh; C. Mohan 001; Guy M. Lohman (ICDE, 2006)

A Deferred Cleansing Method for RFID Data Analytics. - Jun Rao; Sangeeta Doraiswamy; Hetal Thakkar; Latha S. Colby (VLDB, 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 001; Eugene J. Shekita; Garret Swart (CoRR, 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; Joseph S. Glider; Richard A. Golding; Guy M. Lohman; Volker Markl; Hamid Pirahesh; Jun Rao; Robert M. Rees; Garret Swart (CIDR, 2007)

Dynamic faceted search for discovery-driven analysis. - Debabrata Dash; Jun Rao; Nimrod Megiddo; Anastasia Ailamaki; Guy M. Lohman (CIKM, 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)

Leveraging a scalable row store to build a distributed text index. - Ning Li; Jun Rao; Eugene J. Shekita; Sandeep Tata (CloudDB@CIKM, 2009)

Research and Practice in Analog Circuit Experiment Teaching. - Fengde Guo; Jun Rao (ETT, 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 (ISCID (2), 2009)

Towards a Scalable Enterprise Content Analytics Platform. - Kevin S. Beyer; Vuk Ercegovac; Rajasekar Krishnamurthy; Sriram Raghavan; Jun Rao; Frederick Reiss 001; Eugene J. Shekita; David E. Simmen; Sandeep Tata; Shivakumar Vaithyanathan; Huaiyu Zhu 001 (IEEE Data Eng. Bull., 2009)

A comparison of join algorithms for log processing in MaPreduce. - Spyros Blanas; Jignesh M. Patel; Vuk Ercegovac; Jun Rao; Eugene J. Shekita; Yuanyuan Tian 001 (SIGMOD Conference, 2010)

Predicting missing links via local feature of common neighbors. - Yuxiao Dong; Qing Ke; Jun Rao; Bin Wu 001 (FSKD, 2011)

Random Walk Based Resource Allocation: Predicting and Recommending Links in Cross-Operator Mobile Communication Networks. - Yuxiao Dong; Qing Ke; Jun Rao; Bai Wang 001; Bin Wu 001 (ICDM Workshops, 2011)

Using Paxos to Build a Scalable, Consistent, and Highly Available Datastore. - Jun Rao; Eugene J. Shekita; Sandeep Tata (Proc. VLDB Endow., 2011)

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; et al. (ICDE, 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)

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 (CIDR, 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)

Optimal caching placement for D2D assisted wireless caching networks. - Jun Rao; Hao Feng; Chenchen Yang; Zhiyong Chen 002; Bin Xia 001 (ICC, 2016)

Exploiting user mobility for D2D assisted wireless caching networks. - Jun Rao; Hao Feng; Zhiyong Chen 002 (WCSP, 2016)

Road Segmentation Based on Hybrid Convolutional Network for High-Resolution Visible Remote Sensing Image. - Ye Li 013; Lili Guo; Jun Rao; Lele Xu; Shan Jin (IEEE Geosci. Remote. Sens. Lett., 2019)

Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation. - Ruobing Xie; Zhijie Qiu; Jun Rao; Yi Liu; Bo Zhang 056; Leyu Lin (IJCAI, 2020)

Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation. - Wen Wang 016; Wei Zhang 056; Jun Rao; Zhijie Qiu; Bo Zhang 056; Leyu Lin; Hongyuan Zha (SIGIR, 2020)

Student Can Also be a Good Teacher: Extracting Knowledge from Vision-and-Language Model for Cross-Modal Retrieval. - Jun Rao; Tao Qian 003; Shuhan Qi; Yulin Wu 001; Qing Liao 001; Xuan Wang 002 (CIKM, 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 003; Xuan Wang 002 (WAB @ ACM Multimedia, 2021)

Hierarchical Semantic Enhanced Directional Graph Network for Visual Commonsense Reasoning. - Mingyan Wu; Shuhan Qi; Jun Rao; Jiajia Zhang 001; Qing Liao 001; Xuan Wang 002; Xinxin Liao (Trustworthy AI @ ACM Multimedia, 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 (SIGMOD Conference, 2021)

Logarithmic rubric scoring. - Jun Rao; James D. Palmer 002 (J. Comput. Sci. Coll., 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)

Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval. - Jun Rao; Fei Wang 032; Liang Ding 006; Shuhan Qi; Yibing Zhan; Weifeng Liu 001; Dacheng Tao (SIGIR, 2022)

Parameter-Efficient and Student-Friendly Knowledge Distillation. - Jun Rao; Xv Meng; Liang Ding 006; Shuhan Qi; Dacheng Tao (CoRR, 2022)

Adaptive Optimal Control of Nonlinear Systems with Multiple Time-Scale Eligibility Traces. - Jun Rao; Jingcheng Wang; Jiahui Xu; Shunyu Wu (CDC, 2023)

Finetuning Language Models for Multimodal Question Answering. - Xin Zhang 097; Wen Xie; Ziqi Dai; Jun Rao; Haokun Wen; Xuan Luo; Meishan Zhang; Min Zhang 005 (ACM Multimedia, 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; et al. (Proc. VLDB Endow., 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)

Dynamic Contrastive Distillation for Image-Text Retrieval. - Jun Rao; Liang Ding 006; Shuhan Qi; Meng Fang; Yang Liu 039; Li Shen 008; Dacheng Tao (IEEE Trans. Multim., 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., 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 203; Jing Xiao 006; Xuan Wang 002 (Inf. Process. Manag., 2023)

3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset. - Xinyu Ma; Xuebo Liu 002; Derek F. Wong; Jun Rao; Bei Li; Liang Ding 006; Lidia S. Chao; Dacheng Tao; Min Zhang 005 (LREC/COLING, 2024)

Curriculum Consistency Learning for Conditional Sentence Generation. - Liangxin Liu; Xuebo Liu 002; Lian Lian; Shengjun Cheng; Jun Rao; Tengfei Yu; Hexuan Deng; Min Zhang 005 (EMNLP, 2024)

CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions. - Jun Rao; Xuebo Liu 002; Lian Lian; Shengjun Cheng; Yunjie Liao; Min Zhang 005 (EMNLP, 2024)

Harnessing the Power of Prompt Experts: Efficient Knowledge Distillation for Enhanced Language Understanding. - Xv Meng; Jun Rao; Shuhan Qi; Lei Wang 203; Jing Xiao 006; Xuan Wang 002 (ECML/PKDD (8), 2024)

Exploring and Enhancing the Transfer of Distribution in Knowledge Distillation for Autoregressive Language Models. - Jun Rao; Xuebo Liu 002; Zepeng Lin; Liang Ding 006; Jing Li 047; Dacheng Tao; Min Zhang 005 (CoRR, 2024)

Parameter-Efficient and Student-Friendly Knowledge Distillation. - Jun Rao; Xv Meng; Liang Ding 006; Shuhan Qi; Xuebo Liu 002; Min Zhang 005; Dacheng Tao (IEEE Trans. Multim., 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)

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., 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., 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., 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., 2024)

Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining? - Fei Wang 032; Liang Ding 006; Jun Rao; Ye Liu 014; Li Shen 008; Changxing Ding (ACM Trans. Multim. Comput. Commun. Appl., 2024)

APT: Improving Specialist LLM Performance with Weakness Case Acquisition and Iterative Preference Training. - Jun Rao; Zepeng Lin; Xuebo Liu 002; Xiaopeng Ke; Lian Lian; Dong Jin; Shengjun Cheng; Jun Yu; Min Zhang 005 (ACL (Findings), 2025)

Dynamic Sampling that Adapts: Iterative DPO for Self-Aware Mathematical Reasoning. - Jun Rao; Xuebo Liu 002; Hexuan Deng; Zepeng Lin; Zixiong Yu; Jiansheng Wei; Xiaojun Meng; Min Zhang 005 (CoRR, 2025)

REA-RL: Reflection-Aware Online Reinforcement Learning for Efficient Large Reasoning Models. - Hexuan Deng; Wenxiang Jiao; Xuebo Liu 002; Jun Rao; Min Zhang 005 (CoRR, 2025)

AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs. - Xiaopeng Ke; Hexuan Deng; Xuebo Liu 002; Jun Rao; Zhenxi Song; Jun Yu; Min Zhang 005 (CoRR, 2025)