Jun Rao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
11
Active years
1998–2026
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Dynamic Sampling that Adapts: Self-Aware Iterative Data Persistent Optimization for Mathematical Reasoning. | Jun Rao, Xuebo Liu, Hexuan Deng, Zepeng Lin, Zixiong Yu, Jiansheng Wei, Xiaojun Meng, Min Zhang |
| 2026 | ACL | MathAgent: Adversarial Evolution of Constraint Graphs for Mathematical Reasoning Data Synthesis. | Zixiong Yu, Jun Rao, Guhan Chen, Songtao Tian, Bohan Li, Jiansheng Wei, Min Zhang, Xiaojun Meng |
| 2025 | ACL | APT: Improving Specialist LLM Performance with Weakness Case Acquisition and Iterative Preference Training. | Jun Rao, Zepeng Lin, Xuebo Liu, Xiaopeng Ke, Lian Lian, Dong Jin, Shengjun Cheng, Jun Yu, Min Zhang |
| 2025 | EMNLP | AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs. | Xiaopeng Ke, Hexuan Deng, Xuebo Liu, Jun Rao, Zhenxi Song, Jun Yu, Min Zhang |
| 2025 | EMNLP | SeaPO: Strategic Error Amplification for Robust Preference Optimization of Large Language Models. | Jun Rao, Yunjie Liao, Xuebo Liu, Zepeng Lin, Lian Lian, Dong Jin, Shengjun Cheng, Jun Yu, Min Zhang |
| 2024 | COLING | 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 |
| 2024 | EMNLP | Curriculum Consistency Learning for Conditional Sentence Generation. | Liangxin Liu, Xuebo Liu, Lian Lian, Shengjun Cheng, Jun Rao, Tengfei Yu, Hexuan Deng, Min Zhang |
| 2024 | EMNLP | CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions. | Jun Rao, Xuebo Liu, Lian Lian, Shengjun Cheng, Yunjie Liao, Min Zhang |
| 2022 | SIGIR | 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 |
| 2021 | CIKM | 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 |
| 2021 | SIGMOD | 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 |
| 2020 | IJCAI | 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 |
| 2020 | SIGIR | 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 |
| 2015 | CIDR | 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 |
| 2012 | ICDE | 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 |
| 2011 | ICDM | 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 |
| 2010 | SIGMOD | A comparison of join algorithms for log processing in MaPreduce. | Spyros Blanas, Jignesh M. Patel, Vuk Ercegovac, Jun Rao, Eugene J. Shekita, Yuanyuan Tian |
| 2009 | CIKM | Leveraging a scalable row store to build a distributed text index. | Ning Li, Jun Rao, Eugene J. Shekita, Sandeep Tata |
| 2008 | CIKM | Dynamic faceted search for discovery-driven analysis. | Debabrata Dash, Jun Rao, Nimrod Megiddo, Anastasia Ailamaki, Guy M. Lohman |
| 2007 | CIDR | 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 |
| 2006 | ICDE | Compiled Query Execution Engine using JVM. | Jun Rao, Hamid Pirahesh, C. Mohan, Guy M. Lohman |
| 2006 | VLDB | A Deferred Cleansing Method for RFID Data Analytics. | Jun Rao, Sangeeta Doraiswamy, Hetal Thakkar, Latha S. Colby |
| 2004 | SIGMOD | Canonical Abstraction for Outerjoin Optimization. | Jun Rao, Hamid Pirahesh, Calisto Zuzarte |
| 2004 | VLDB | 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 |
| 2003 | SIGMOD | Estimating Compilation Time of a Query Optimizer. | Ihab F. Ilyas, Jun Rao, Guy M. Lohman, Dengfeng Gao, Eileen Tien Lin |
| 2002 | SIGMOD | Automating physical database design in a parallel database. | Jun Rao, Chun Zhang, Nimrod Megiddo, Guy M. Lohman |
| 2001 | ICDE | Using EELs, a Practical Approach to Outerjoin and Antijoin Reordering. | Jun Rao, Bruce G. Lindsay, Guy M. Lohman, Hamid Pirahesh, David E. Simmen |
| 2000 | SIGMOD | Making B | Jun Rao, Kenneth A. Ross |
| 1999 | VLDB | Cache Conscious Indexing for Decision-Support in Main Memory. | Jun Rao, Kenneth A. Ross |
| 1998 | SIGMOD | Reusing Invariants: A New Strategy for Correlated Queries. | Jun Rao, Kenneth A. Ross |