Jun Rao

82 papers A* 13A 4Journal 44Unranked 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
Exploring and enhancing the transfer of distribution in knowledge distillation for autoregressive language models.
Knowl. Based Syst.
Jun Rao, Xuebo Liu, ZePeng Lin, Liang Ding, Jing Li, Min Zhang
2026 J jnl
Orchestrating Prompt Expertise: Enhancing Knowledge Distillation via Expert-Guided Tuning.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Xu Meng, Jun Rao, Shuhan Qi, Xuebo Liu, Lei Wang, Min Zhang, Xuan Wang
2026 J jnl
PACE: Defying the Scaling Hypothesis of Exploration in Iterative Alignment for Mathematical Reasoning.
CoRR
Jun Rao, Zixiong Yu, Xuebo Liu, Guhan Chen, Jing Li, Jiansheng Wei, Xiaojun Meng, Min Zhang
2025 J jnl
A Text-Guided Graph Neural Network for Predicting Long-Range Trajectories of Sea-Surface Objects.
IEEE Trans. Geosci. Remote. Sens.
Yuanlin Zhao, Wei Li, Xiangjun Song, Xiaoxiao Zhang, Jun Rao, Yao Gao, Jiangang Ding
2025 — conf
APT: Improving Specialist LLM Performance with Weakness Case Acquisition and Iterative Preference Training.
ACL (Findings)
Jun Rao, ZePeng Lin, Xuebo Liu, Xiaopeng Ke, Lian Lian, Dong Jin, Shengjun Cheng, Jun Yu, Min Zhang
2025 J jnl
APT: Improving Specialist LLM Performance with Weakness Case Acquisition and Iterative Preference Training.
CoRR
Jun Rao, ZePeng Lin, Xuebo Liu, Xiaopeng Ke, Lian Lian, Dong Jin, Shengjun Cheng, Jun Yu, Min Zhang
2025 A* conf
AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs.
EMNLP
Xiaopeng Ke, Hexuan Deng, Xuebo Liu, Jun Rao, Zhenxi Song, Jun Yu, Min Zhang
2025 J jnl
AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs.
CoRR
Xiaopeng Ke, Hexuan Deng, Xuebo Liu, Jun Rao, Zhenxi Song, Jun Yu, Min Zhang
2025 J jnl
Dynamic Sampling that Adapts: Iterative DPO for Self-Aware Mathematical Reasoning.
CoRR
Jun Rao, Xuebo Liu, Hexuan Deng, ZePeng Lin, Zixiong Yu, Jiansheng Wei, Xiaojun Meng, Min Zhang
2025 J jnl
End-to-End Stochastic Predict-Then-Optimize for Cost-Efficient Water-Energy Resource Scheduling.
IEEE Trans. Smart Grid
Shunyu Wu, Jingcheng Wang, Haotian Xu, Yanjiu Zhong, Jun Rao
2025 J jnl
REA-RL: Reflection-Aware Online Reinforcement Learning for Efficient Large Reasoning Models.
CoRR
Hexuan Deng, Wenxiang Jiao, Xuebo Liu, Jun Rao, Min Zhang
2025 — conf
SeaPO: Strategic Error Amplification for Robust Preference Optimization of Large Language Models.
EMNLP (Findings)
Jun Rao, Yunjie Liao, Xuebo Liu, ZePeng Lin, Lian Lian, Dong Jin, Shengjun Cheng, Jun Yu, Min Zhang
2025 J jnl
SeaPO: Strategic Error Amplification for Robust Preference Optimization of Large Language Models.
CoRR
Jun Rao, Yunjie Liao, Xuebo Liu, ZePeng Lin, Lian Lian, Dong Jin, Shengjun Cheng, Jun Yu, Min Zhang
2024 — conf
3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset.
LREC/COLING
Xinyu Ma, Xuebo Liu, Derek F. Wong, Jun Rao, Bei Li, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang
2024 J jnl
3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset.
CoRR
Xinyu Ma, Xuebo Liu, Derek F. Wong, Jun Rao, Bei Li, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang
2024 J jnl
A Novel Series-Concatenation Hybrid Prediction Model of Energy Consumption in Hot Strip Roughing Process With Multi-Step Rolling.
IEEE Trans Autom. Sci. Eng.
Yanjiu Zhong, Jingcheng Wang, Jun Rao, Jiahui Xu, Shunyu Wu
2024 J jnl
Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems With Trajectory-Based Initial Control Policy.
IEEE Trans. Syst. Man Cybern. Syst.
Jiahui Xu, Jingcheng Wang, Jun Rao, Shunyu Wu, Yanjiu Zhong
2024 J jnl
Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining?
ACM Trans. Multim. Comput. Commun. Appl.
Fei Wang, Liang Ding, Jun Rao, Ye Liu, Li Shen, Changxing Ding
2024 A* conf
CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions.
EMNLP
Jun Rao, Xuebo Liu, Lian Lian, Shengjun Cheng, Yunjie Liao, Min Zhang
2024 J jnl
CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions.
CoRR
Jun Rao, Xuebo Liu, Lian Lian, Shengjun Cheng, Yunjie Liao, Min Zhang
2024 A* conf
Curriculum Consistency Learning for Conditional Sentence Generation.
EMNLP
Liangxin Liu, Xuebo Liu, Lian Lian, Shengjun Cheng, Jun Rao, Tengfei Yu, Hexuan Deng, Min Zhang
2024 J jnl
Exploring and Enhancing the Transfer of Distribution in Knowledge Distillation for Autoregressive Language Models.
CoRR
Jun Rao, Xuebo Liu, ZePeng Lin, Liang Ding, Jing Li, Dacheng Tao, Min Zhang
2024 — conf
Harnessing the Power of Prompt Experts: Efficient Knowledge Distillation for Enhanced Language Understanding.
ECML/PKDD (8)
Xv Meng, Jun Rao, Shuhan Qi, Lei Wang, Jing Xiao, Xuan Wang
2024 J jnl
Parallel Cross Entropy Policy Gradient Adaptive Dynamic Programming for Optimal Tracking Control of Discrete-Time Nonlinear Systems.
IEEE Trans. Syst. Man Cybern. Syst.
Jiahui Xu, Jingcheng Wang, Jun Rao, Yanjiu Zhong, Shunyu Wu, Qifang Sun
2024 J jnl
Parameter-Efficient and Student-Friendly Knowledge Distillation.
IEEE Trans. Multim.
Jun Rao, Xv Meng, Liang Ding, Shuhan Qi, Xuebo Liu, Min Zhang, Dacheng Tao
2024 J jnl
Prediction of Energy Consumption in Horizontal Roughing Process of Hot Rolling Strip Based on TDADE Algorithm.
IEEE Trans Autom. Sci. Eng.
Yanjiu Zhong, Jingcheng Wang, Jiahui Xu, Shunyu Wu, Jun Rao, Kangbo Dang
2024 J jnl
Reinforcement Learning Controller Design for Discrete-Time-Constrained Nonlinear Systems With Weight Initialization Method.
IEEE Trans. Syst. Man Cybern. Syst.
Jiahui Xu, Jingcheng Wang, Yanjiu Zhong, Jun Rao, Shunyu Wu
2023 — conf
Adaptive Optimal Control of Nonlinear Systems with Multiple Time-Scale Eligibility Traces.
CDC
Jun Rao, Jingcheng Wang, Jiahui Xu, Shunyu Wu
2023 J jnl
Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining?
CoRR
Fei Wang, Liang Ding, Jun Rao, Ye Liu, Li Shen, Changxing Ding
2023 J jnl
Data-driven width spread prediction model improvement and parameters optimization in hot strip rolling process.
Appl. Intell.
Yanjiu Zhong, Jingcheng Wang, Jiahui Xu, Jun Rao, Kangbo Dang
2023 J jnl
Dynamic Contrastive Distillation for Image-Text Retrieval.
IEEE Trans. Multim.
Jun Rao, Liang Ding, Shuhan Qi, Meng Fang, Yang Liu, Li Shen, Dacheng Tao
2023 A* conf
Finetuning Language Models for Multimodal Question Answering.
ACM Multimedia
Xin Zhang, Wen Xie, Ziqi Dai, Jun Rao, Haokun Wen, Xuan Luo, Meishan Zhang, Min Zhang
2023 J jnl
Kora: A Cloud-Native Event Streaming Platform for Kafka.
Proc. VLDB Endow.
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
2023 J jnl
Optimization and Invasive Monitoring for the Local Flow Velocity Maldistribution in Plate-Fin Heat Exchangers.
IEEE Trans. Instrum. Meas.
Xue-Li Yang, Ming-Yao Liu, Han Song, Jun Rao, Yi-Hang Wu
2023 J jnl
What is the limitation of multimodal LLMs? A deeper look into multimodal LLMs through prompt probing.
Inf. Process. Manag.
Shuhan Qi, Zhengying Cao, Jun Rao, Lei Wang, Jing Xiao, Xuan Wang
2022 J jnl
Dynamic Contrastive Distillation for Image-Text Retrieval.
CoRR
Jun Rao, Liang Ding, Shuhan Qi, Meng Fang, Yang Liu, Li Shen, Dacheng Tao
2022 J jnl
Parameter-Efficient and Student-Friendly Knowledge Distillation.
CoRR
Jun Rao, Xv Meng, Liang Ding, Shuhan Qi, Dacheng Tao
2022 J jnl
Where Does the Performance Improvement Come From? - A Reproducibility Concern about Image-Text Retrieval.
CoRR
Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao
2022 A* conf
Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval.
SIGIR
Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao
2021 — conf
Consistency and Completeness: Rethinking Distributed Stream Processing in Apache Kafka.
SIGMOD Conference
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
2021 — conf
Hierarchical Semantic Enhanced Directional Graph Network for Visual Commonsense Reasoning.
Trustworthy AI @ ACM Multimedia
Mingyan Wu, Shuhan Qi, Jun Rao, Jiajia Zhang, Qing Liao, Xuan Wang, Xinxin Liao
2021 J jnl
Logarithmic rubric scoring.
J. Comput. Sci. Coll.
Jun Rao, James D. Palmer
2021 A conf
Student Can Also be a Good Teacher: Extracting Knowledge from Vision-and-Language Model for Cross-Modal Retrieval.
CIKM
Jun Rao, Tao Qian, Shuhan Qi, Yulin Wu, Qing Liao, Xuan Wang
2021 — conf
Watch and Buy: A Practical Solution for Real-time Fashion Product Identification in Live Stream.
WAB @ ACM Multimedia
Jun Rao, Yue Cao, Shuhan Qi, Zeyu Dong, Tao Qian, Xuan Wang
2021 J jnl
Zone scheduling optimization of pumps in water distribution networks with deep reinforcement learning and knowledge-assisted learning.
Soft Comput.
Jiahui Xu, Hongyuan Wang, Jun Rao, Jingcheng Wang
2020 A* conf
Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation.
SIGIR
Wen Wang, Wei Zhang, Jun Rao, Zhijie Qiu, Bo Zhang, Leyu Lin, Hongyuan Zha
2020 A* conf
Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation.
IJCAI
Ruobing Xie, Zhijie Qiu, Jun Rao, Yi Liu, Bo Zhang, Leyu Lin
2019 J jnl
Road Segmentation Based on Hybrid Convolutional Network for High-Resolution Visible Remote Sensing Image.
IEEE Geosci. Remote. Sens. Lett.
Ye Li, Lili Guo, Jun Rao, Lele Xu, Shan Jin
2016 — conf
Exploiting user mobility for D2D assisted wireless caching networks.
WCSP
Jun Rao, Hao Feng, Zhiyong Chen
2016 — conf
Optimal caching placement for D2D assisted wireless caching networks.
ICC
Jun Rao, Hao Feng, Chenchen Yang, Zhiyong Chen, Bin Xia
2015 J jnl
Building a Replicated Logging System with Apache Kafka.
Proc. VLDB Endow.
Guozhang Wang, Joel Koshy, Sriram Subramanian, Kartik Paramasivam, Mammad Zadeh, Neha Narkhede, Jun Rao, Jay Kreps, Joe Stein
2015 A conf
Liquid: Unifying Nearline and Offline Big Data Integration.
CIDR
Raul Castro Fernandez, Peter R. Pietzuch, Jay Kreps, Neha Narkhede, Jun Rao, Joel Koshy, Dong Lin, Chris Riccomini, Guozhang Wang
2015 J jnl
Optimal Caching Placement for D2D Assisted Wireless Caching Networks.
CoRR
Jun Rao, Hao Feng, Chenchen Yang, Zhiyong Chen, Bin Xia
2012 J jnl
Building LinkedIn's Real-time Activity Data Pipeline.
IEEE Data Eng. Bull.
Ken Goodhope, Joel Koshy, Jay Kreps, Neha Narkhede, Richard Park, Jun Rao, Victor Yang Ye
2012 A* conf
Data Infrastructure at LinkedIn.
ICDE
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 — conf
Predicting missing links via local feature of common neighbors.
FSKD
Yuxiao Dong, Qing Ke, Jun Rao, Bin Wu
2011 — conf
Random Walk Based Resource Allocation: Predicting and Recommending Links in Cross-Operator Mobile Communication Networks.
ICDM Workshops
Yuxiao Dong, Qing Ke, Jun Rao, Bai Wang, Bin Wu
2011 J jnl
Using Paxos to Build a Scalable, Consistent, and Highly Available Datastore
CoRR
Jun Rao, Eugene J. Shekita, Sandeep Tata
2011 J jnl
Using Paxos to Build a Scalable, Consistent, and Highly Available Datastore.
Proc. VLDB Endow.
Jun Rao, Eugene J. Shekita, Sandeep Tata
2010 — conf
A comparison of join algorithms for log processing in MaPreduce.
SIGMOD Conference
Spyros Blanas, Jignesh M. Patel, Vuk Ercegovac, Jun Rao, Eugene J. Shekita, Yuanyuan Tian
2009 — conf
Leveraging a scalable row store to build a distributed text index.
CloudDB@CIKM
Ning Li, Jun Rao, Eugene J. Shekita, Sandeep Tata
2009 — conf
Predicting the Dielectric Constants of (Zr0.7Sn0.3)TiO4 Ceramics Using Artificial Neural Network.
ISCID (2)
Wei You, Song Fan, Songlin Wang, Chuanli Yan, Xiangzhou Zhu, Jun Rao
2009 — conf
Research and Practice in Analog Circuit Experiment Teaching.
ETT
Fengde Guo, Jun Rao
2009 J jnl
Towards a Scalable Enterprise Content Analytics Platform.
IEEE Data Eng. Bull.
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
2008 J jnl
DBPubs: multidimensional exploration of database publications.
Proc. VLDB Endow.
Akanksha Baid, Andrey Balmin, Heasoo Hwang, Erik Nijkamp, Jun Rao, Berthold Reinwald, Alkis Simitsis, Yannis Sismanis, Frank van Ham
2008 A conf
Dynamic faceted search for discovery-driven analysis.
CIKM
Debabrata Dash, Jun Rao, Nimrod Megiddo, Anastasia Ailamaki, Guy M. Lohman
2007 A conf
Impliance: A Next Generation Information Management Appliance.
CIDR
Bishwaranjan Bhattacharjee, Joseph S. Glider, Richard A. Golding, Guy M. Lohman, Volker Markl, Hamid Pirahesh, Jun Rao, Robert M. Rees, Garret Swart
2006 A* conf
A Deferred Cleansing Method for RFID Data Analytics.
VLDB
Jun Rao, Sangeeta Doraiswamy, Hetal Thakkar, Latha S. Colby
2006 A* conf
Compiled Query Execution Engine using JVM.
ICDE
Jun Rao, Hamid Pirahesh, C. Mohan, Guy M. Lohman
2006 J jnl
Impliance: A Next Generation Information Management Appliance
CoRR
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
2006 J jnl
Making DB2Products Self-Managing: Strategies and Experiences.
IEEE Data Eng. Bull.
Sam Lightstone, Guy M. Lohman, Peter J. Haas, Volker Markl, Jun Rao, Adam J. Storm, Maheswaran Surendra, Daniel C. Zilio
2005 J jnl
Architecture Sensitive Database Design: Examples from the Columbia Group.
IEEE Data Eng. Bull.
Kenneth A. Ross, John Cieslewicz, Jun Rao, Jingren Zhou
2004 — conf
Canonical Abstraction for Outerjoin Optimization.
SIGMOD Conference
Jun Rao, Hamid Pirahesh, Calisto Zuzarte
2004 A* conf
DB2 Design Advisor: Integrated Automatic Physical Database Design.
VLDB
Daniel C. Zilio, Jun Rao, Sam Lightstone, Guy M. Lohman, Adam J. Storm, Christian Garcia-Arellano, Scott Fadden
2003 — conf
Estimating Compilation Time of a Query Optimizer.
SIGMOD Conference
Ihab F. Ilyas, Jun Rao, Guy M. Lohman, Dengfeng Gao, Eileen Tien Lin
2003 J jnl
Reminiscences on Influential Papers.
SIGMOD Rec.
Kenneth A. Ross, Johannes Gehrke, Jun Rao
2002 — conf
Automating physical database design in a parallel database.
SIGMOD Conference
Jun Rao, Chun Zhang, Nimrod Megiddo, Guy M. Lohman
2001 J jnl
Adapting materialized views after redefinitions: techniques and a performance study.
Inf. Syst.
Ashish Gupta, Inderpal Singh Mumick, Jun Rao, Kenneth A. Ross
2001 A* conf
Using EELs, a Practical Approach to Outerjoin and Antijoin Reordering.
ICDE
Jun Rao, Bruce G. Lindsay, Guy M. Lohman, Hamid Pirahesh, David E. Simmen
2000 — conf
Making B
SIGMOD Conference
Jun Rao, Kenneth A. Ross
1999 A* conf
Cache Conscious Indexing for Decision-Support in Main Memory.
VLDB
Jun Rao, Kenneth A. Ross
1998 — conf
Reusing Invariants: A New Strategy for Correlated Queries.
SIGMOD Conference
Jun Rao, Kenneth A. Ross