Qingquan Song

63 papers A* 14A 3Journal 41Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
OTPrune: Distribution-Aligned Visual Token Pruning via Optimal Transport.
CoRR
Xiwen Chen, Wenhui Zhu, Gen Li, Xuanzhao Dong, Yujian Xiong, Hao Wang, Peijie Qiu, Qingquan Song, Zhipeng Wang, Shao Tang, Yalin Wang, Abolfazl Razi
2026 J jnl
Semantic Search At LinkedIn.
CoRR
Fedor Borisyuk, Sriram Vasudevan, Muchen Wu, Guoyao Li, Benjamin Le, Shaobo Zhang, Kay Qianqi Shen, Yuchin Juan, Kayhan Behdin, Liming Dong, Kaixu Yang, Shusen Jing, Ravi Pothamsetty, Rajat Arora, Sophie Yanying Sheng, Vitaly Abdrashitov, Yang Zhao, Lin Su, Xiaoqing Wang, Chujie Zheng, Sarang Metkar, Rupesh Gupta, Igor Lapchuk, David N. Racca, Madhumitha Mohan, Yanbo Li, Haojun Li, Saloni Gandhi, Xueying Lu, Chetan Bhole, Ali Hooshmand, Xin Yang, Raghavan Muthuregunathan, Jiajun Zhang, Mathew Teoh, Adam Coler, Abhinav Gupta, Xiaojing Ma, Sundara Raman Ramachandran, Morteza Ramezani, Yubo Wang, Lijuan Zhang, Richard Li, Jian Sheng, Chanh Nguyen, Yen-Chi Chen, Chuanrui Zhu, Claire Zhang, Jiahao Xu, Deepti Kulkarni, Qing Lan, Arvind Subramaniam, Ata Fatahi Baarzi, Steven Shimizu, Yanning Chen, Zhipeng Wang, Ran He, Zhengze Zhou, Qingquan Song, Yun Dai, Caleb Johnson, Ping Liu, Shaghayegh Gharghabi, Gokulraj Mohanasundaram, Juan Bottaro, Santhosh Sachindran, Qi Guo, Yunxiang Ren, Chengming Jiang, Di Mo, Luke Simon, Jianqiang Shen, Jingwei Wu, Wenjing Zhang
2025 J jnl
360Brew: A Decoder-only Foundation Model for Personalized Ranking and Recommendation.
CoRR
Hamed Firooz, Maziar Sanjabi, Adrian Englhardt, Aman Gupta, Ben Levine, Dre Olgiati, Gungor Polatkan, Iuliia Melnychuk, Karthik Ramgopal, Kirill Talanine, Kutta Srinivasan, Luke Simon, Natesh Sivasubramoniapillai, Necip Fazil Ayan, Qingquan Song, Samira Sriram, Souvik Ghosh, Tao Song, Vignesh Kothapalli, Xiaoling Zhai, Ya Xu, Yu Wang, Yun Dai
2025 J jnl
AlphaPO - Reward shape matters for LLM alignment.
CoRR
Aman Gupta, Shao Tang, Qingquan Song, Sirou Zhu, Jiwoo Hong, Ankan Saha, Viral Gupta, Noah Lee, Eunki Kim, Jason Zhu, Natesh S. Pillai, S. Sathiya Keerthi
2025 A* conf
AlphaPO: Reward Shape Matters for LLM Alignment.
ICML
Aman Gupta, Shao Tang, Qingquan Song, Sirou Zhu, Jiwoo Hong, Ankan Saha, Viral Gupta, Noah Lee, Eunki Kim, Siyu Zhu, Parag Agrawal, Natesh S. Pillai, S. Sathiya Keerthi
2025 J jnl
Distilling the Essence: Efficient Reasoning Distillation via Sequence Truncation.
CoRR
Wei-Rui Chen, Vignesh Kothapalli, Ata Fatahi Baarzi, Hejian Sang, Shao Tang, Qingquan Song, Zhipeng Wang, Muhammad Abdul-Mageed
2025 J jnl
Efficient AI in Practice: Training and Deployment of Efficient LLMs for Industry Applications.
CoRR
Kayhan Behdin, Yun Dai, Ata Fatahi Baarzi, Aman Gupta, Qingquan Song, Shao Tang, Hejian Sang, Gregory Dexter, Sirou Zhu, Siyu Zhu, Tejas Dharamsi, Maziar Sanjabi, Vignesh Kothapalli, Hamed Firooz, Zhoutong Fu, Yihan Cao, Pin-Lun Hsu, Fedor Borisyuk, Zhipeng Wang, Rahul Mazumder, Natesh S. Pillai, Luke Simon
2025 — conf
Efficient Algorithms for Leveraging LLMs for Generative and Predictive Recommender Systems.
WWW (Companion Volume)
Kayhan Behdin, Yun Dai, Gregory Dexter, Aman Gupta, Rahul Mazumder, Ankan Saha, Qingquan Song, Shao Tang, Sirou Zhu, Pin-Lun Hsu
2025 J jnl
LANTERN: Scalable Distillation of Large Language Models for Job-Person Fit and Explanation.
CoRR
Zhoutong Fu, Yihan Cao, Yi-Lin Chen, Aman Lunia, Liming Dong, Neha Saraf, Ruijie Jiang, Yun Dai, Qingquan Song, Tan Wang, Guoyao Li, Derek Koh, Haichao Wei, Zhipeng Wang, Aman Gupta, Chengming Jiang, Jianqiang Shen, Liangjie Hong, Wenjing Zhang
2025 J jnl
LLM Query Scheduling with Prefix Reuse and Latency Constraints.
CoRR
Gregory Dexter, Shao Tang, Ata Fatahi Baarzi, Qingquan Song, Tejas Dharamsi, Aman Gupta
2025 J jnl
Leave It to the Experts: Detecting Knowledge Distillation via MoE Expert Signatures.
CoRR
Pingzhi Li, Morris Yu-Chao Huang, Zhen Tan, Qingquan Song, Jie Peng, Kai Zou, Yu Cheng, Kaidi Xu, Tianlong Chen
2025 J jnl
MixLM: High-Throughput and Effective LLM Ranking via Text-Embedding Mix-Interaction.
CoRR
Guoyao Li, Ran He, Shusen Jing, Kayhan Behdin, Yubo Wang, Sundara Raman Ramachandran, Chanh Nguyen, Jian Sheng, Xiaojing Ma, Chuanrui Zhu, Sriram Vasudevan, Muchen Wu, Sayan Ghosh, Lin Su, Qingquan Song, Xiaoqing Wang, Zhipeng Wang, Qing Lan, Yanning Chen, Jingwei Wu, Luke Simon, Wenjing Zhang, Qi Guo, Fedor Borisyuk
2025 J jnl
Planner-R1: Reward Shaping Enables Efficient Agentic RL with Smaller LLMs.
CoRR
Siyu Zhu, Yanbin Jiang, Hejian Sang, Shao Tang, Qingquan Song, Biao He, Rohit Jain, Zhipeng Wang, Alborz Geramifard
2025 J jnl
Reasoning Models Can be Accurately Pruned Via Chain-of-Thought Reconstruction.
CoRR
Ryan Lucas, Kayhan Behdin, Zhipeng Wang, Qingquan Song, Shao Tang, Rahul Mazumder
2025 — conf
Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems.
EMNLP (Industry Track)
Kayhan Behdin, Ata Fatahi Baarzi, Qingquan Song, Yun Dai, Aman Gupta, Zhipeng Wang, Hejian Sang, Shao Tang, Gregory Dexter, Sirou Zhu, Siyu Zhu, Tejas Dharamsi, Vignesh Kothapalli, Zhoutong Fu, Yihan Cao, Pin-Lun Hsu, Fedor Borisyuk, Natesh S. Pillai, Luke Simon, Rahul Mazumder
2025 J jnl
Scaling Up Efficient Small Language Models Serving and Deployment for Semantic Job Search.
CoRR
Kayhan Behdin, Qingquan Song, Sriram Vasudevan, Jian Sheng, Xiaojing Ma, Z. Zhou, Chuanrui Zhu, Guoyao Li, Chanh Nguyen, Sayan Ghosh, Hejian Sang, Ata Fatahi Baarzi, Sundara Raman Ramachandran, Xiaoqing Wang, Qing Lan, Vinay Y. S, Qi Guo, Caleb Johnson, Zhipeng Wang, Fedor Borisyuk
2024 — conf
AI Driven Online Advertising: Market Design, Generative AI, and Ethics.
WWW (Companion Volume)
Fengxiang He, Mengnan Du, Aris Filos-Ratsikas, Lu Cheng, Qingquan Song, Min Lin, John Vines
2024 J jnl
Comparative Analysis of the Diagonal Stride Technique during Roller Skiing and On-Snow Skiing in Youth Cross-Country Skiers.
Sensors
Mujia Ma, Shuang Zhao, Ting Long, Qingquan Song, Hans-Christer Holmberg, Hui Liu
2024 J jnl
FFSplit: Split Feed-Forward Network For Optimizing Accuracy-Efficiency Trade-off in Language Model Inference.
CoRR
Zirui Liu, Qingquan Song, Qiang Charles Xiao, Sathiya Keerthi Selvaraj, Rahul Mazumder, Aman Gupta, Xia Hu
2024 J jnl
Learning to Retrieve for Job Matching.
CoRR
Jianqiang Shen, Yuchin Juan, Shaobo Zhang, Ping Liu, Wen Pu, Sriram Vasudevan, Qingquan Song, Fedor Borisyuk, Kay Qianqi Shen, Haichao Wei, Yunxiang Ren, Yeou S. Chiou, Sicong Kuang, Yuan Yin, Ben Zheng, Muchen Wu, Shaghayegh Gharghabi, Xiaoqing Wang, Huichao Xue, Qi Guo, Daniel Hewlett, Luke Simon, Liangjie Hong, Wenjing Zhang
2024 A conf
LiNR: Model Based Neural Retrieval on GPUs at LinkedIn.
CIKM
Fedor Borisyuk, Qingquan Song, Mingzhou Zhou, Ganesh Parameswaran, Madhu Arun, Siva Popuri, Tugrul Bingol, Zhuotao Pei, Kuang-Hsuan Lee, Lu Zheng, Qizhan Shao, Ali Naqvi, Sen Zhou, Aman Gupta
2024 J jnl
LiNR: Model Based Neural Retrieval on GPUs at LinkedIn.
CoRR
Fedor Borisyuk, Qingquan Song, Mingzhou Zhou, Ganesh Parameswaran, Madhu Arun, Siva Popuri, Tugrul Bingol, Zhuotao Pei, Kuang-Hsuan Lee, Lu Zheng, Qizhan Shao, Ali Naqvi, Sen Zhou, Aman Gupta
2024 A* conf
LiRank: Industrial Large Scale Ranking Models at LinkedIn.
KDD
Fedor Borisyuk, Mingzhou Zhou, Qingquan Song, Siyu Zhu, Birjodh Singh Tiwana, Ganesh Parameswaran, Siddharth Dangi, Lars Hertel, Qiang Charles Xiao, Xiaochen Hou, Yunbo Ouyang, Aman Gupta, Sheallika Singh, Dan Liu, Hailing Cheng, Lei Le, Jonathan Hung, S. Sathiya Keerthi, Ruoyan Wang, Fengyu Zhang, Mohit Kothari, Chen Zhu, Daqi Sun, Yun Dai, Xun Luan, Sirou Zhu, Zhiwei Wang, Neil Daftary, Qianqi Shen, Chengming Jiang, Haichao Wei, Maneesh Varshney, Amol Ghoting, Souvik Ghosh
2024 J jnl
LiRank: Industrial Large Scale Ranking Models at LinkedIn.
CoRR
Fedor Borisyuk, Mingzhou Zhou, Qingquan Song, Siyu Zhu, Birjodh Singh Tiwana, Ganesh Parameswaran, Siddharth Dangi, Lars Hertel, Qiang Charles Xiao, Xiaochen Hou, Yunbo Ouyang, Aman Gupta, Sheallika Singh, Dan Liu, Hailing Cheng, Lei Le, Jonathan Hung, S. Sathiya Keerthi, Ruoyan Wang, Fengyu Zhang, Mohit Kothari, Chen Zhu, Daqi Sun, Yun Dai, Xun Luan, Sirou Zhu, Zhiwei Wang, Neil Daftary, Qianqi Shen, Chengming Jiang, Haichao Wei, Maneesh Varshney, Amol Ghoting, Souvik Ghosh
2024 J jnl
Liger Kernel: Efficient Triton Kernels for LLM Training.
CoRR
Pin-Lun Hsu, Yun Dai, Vignesh Kothapalli, Qingquan Song, Shao Tang, Siyu Zhu, Steven Shimizu, Shivam Sahni, Haowen Ning, Yanning Chen
2024 J jnl
PME: pruning-based multi-size embedding for recommender systems.
Frontiers Big Data
Zirui Liu, Qingquan Song, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu
2023 J jnl
AutoKeras: An AutoML Library for Deep Learning.
J. Mach. Learn. Res.
Haifeng Jin, François Chollet, Qingquan Song, Xia Hu
2023 J jnl
mSAM: Micro-Batch-Averaged Sharpness-Aware Minimization.
CoRR
Kayhan Behdin, Qingquan Song, Aman Gupta, Ayan Acharya, David Durfee, Borja Ocejo, S. Sathiya Keerthi, Rahul Mazumder
2022 J jnl
Auto-GNN: Neural architecture search of graph neural networks.
Frontiers Big Data
Kaixiong Zhou, Xiao Huang, Qingquan Song, Rui Chen, Xia Hu
2022 A* conf
Generalized Deep Mixed Models.
KDD
Jun Shi, Chengming Jiang, Aman Gupta, Mingzhou Zhou, Yunbo Ouyang, Qiang Charles Xiao, Qingquan Song, Yi (Alice) Wu, Haichao Wei, Huiji Gao
2022 A* conf
Geometric Graph Representation Learning via Maximizing Rate Reduction.
WWW
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu
2022 J jnl
Geometric Graph Representation Learning via Maximizing Rate Reduction.
CoRR
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu
2022 J jnl
Improved Deep Neural Network Generalization Using m-Sharpness-Aware Minimization.
CoRR
Kayhan Behdin, Qingquan Song, Aman Gupta, David Durfee, Ayan Acharya, S. Sathiya Keerthi, Rahul Mazumder
2022 J jnl
Subarchitecture Ensemble Pruning in Neural Architecture Search.
IEEE Trans. Neural Networks Learn. Syst.
Yijun Bian, Qingquan Song, Mengnan Du, Jun Yao, Huanhuan Chen, Xia Hu
2020 A conf
AutoRec: An Automated Recommender System.
RecSys
Ting-Hsiang Wang, Xia Hu, Haifeng Jin, Qingquan Song, Xiaotian Han, Zirui Liu
2020 J jnl
AutoRec: An Automated Recommender System.
CoRR
Ting-Hsiang Wang, Qingquan Song, Xiaotian Han, Zirui Liu, Haifeng Jin, Xia Hu
2020 A* conf
Detecting Interactions from Neural Networks via Topological Analysis.
NeurIPS
Zirui Liu, Qingquan Song, Kaixiong Zhou, Ting-Hsiang Wang, Ying Shan, Xia Hu
2020 A* conf
Multi-Channel Graph Neural Networks.
IJCAI
Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu
2020 J jnl
On Robustness of Neural Architecture Search Under Label Noise.
Frontiers Big Data
Yi-Wei Chen, Qingquan Song, Xi Liu, P. S. Sastry, Xia Hu
2020 J jnl
Techniques for Automated Machine Learning.
SIGKDD Explor.
Yi-Wei Chen, Qingquan Song, Xia Hu
2020 A* conf
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction.
KDD
Qingquan Song, Dehua Cheng, Hanning Zhou, Jiyan Yang, Yuandong Tian, Xia Hu
2020 J jnl
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction.
CoRR
Qingquan Song, Dehua Cheng, Hanning Zhou, Jiyan Yang, Yuandong Tian, Xia Hu
2020 J jnl
Towards Interaction Detection Using Topological Analysis on Neural Networks.
CoRR
Zirui Liu, Qingquan Song, Kaixiong Zhou, Ting-Hsiang Wang, Ying Shan, Xia Hu
2019 J jnl
Auto-GNN: Neural Architecture Search of Graph Neural Networks.
CoRR
Kaixiong Zhou, Qingquan Song, Xiao Huang, Xia Hu
2019 A* conf
Auto-Keras: An Efficient Neural Architecture Search System.
KDD
Haifeng Jin, Qingquan Song, Xia Hu
2019 A* conf
Coupled Variational Recurrent Collaborative Filtering.
KDD
Qingquan Song, Shiyu Chang, Xia Hu
2019 J jnl
Coupled Variational Recurrent Collaborative Filtering.
CoRR
Qingquan Song, Shiyu Chang, Xia Hu
2019 A* conf
Graph Recurrent Networks With Attributed Random Walks.
KDD
Xiao Huang, Qingquan Song, Yuening Li, Xia Hu
2019 A* conf
Large-Scale Heterogeneous Feature Embedding.
AAAI
Xiao Huang, Qingquan Song, Fan Yang, Xia Hu
2019 J jnl
Multi-Channel Graph Convolutional Networks.
CoRR
Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu
2019 J jnl
Multi-Label Adversarial Perturbations.
CoRR
Qingquan Song, Haifeng Jin, Xiao Huang, Xia Hu
2019 J jnl
Sub-Architecture Ensemble Pruning in Neural Architecture Search.
CoRR
Yijun Bian, Qingquan Song, Mengnan Du, Jun Yao, Huanhuan Chen, Xia Hu
2019 J jnl
Techniques for Automated Machine Learning.
CoRR
Yi-Wei Chen, Qingquan Song, Xia Hu
2019 J jnl
Tensor Completion Algorithms in Big Data Analytics.
ACM Trans. Knowl. Discov. Data
Qingquan Song, Hancheng Ge, James Caverlee, Xia Hu
2018 — conf
Discriminative Graph Autoencoder.
ICBK
Haifeng Jin, Qingquan Song, Xia Hu
2018 J jnl
Efficient Neural Architecture Search with Network Morphism.
CoRR
Haifeng Jin, Qingquan Song, Xia Hu
2018 A conf
Exploring Expert Cognition for Attributed Network Embedding.
WSDM
Xiao Huang, Qingquan Song, Jundong Li, Xia Hu
2018 A* conf
Multi-label Adversarial Perturbations.
ICDM
Qingquan Song, Haifeng Jin, Xiao Huang, Xia Hu
2018 A* conf
Towards Explanation of DNN-based Prediction with Guided Feature Inversion.
KDD
Mengnan Du, Ninghao Liu, Qingquan Song, Xia Hu
2018 J jnl
Towards Explanation of DNN-based Prediction with Guided Feature Inversion.
CoRR
Mengnan Du, Ninghao Liu, Qingquan Song, Xia Hu
2018 — conf
TrailMix: An Ensemble Recommender System for Playlist Curation and Continuation.
RecSys Challenge
Xing Zhao, Qingquan Song, James Caverlee, Xia Hu
2017 A* conf
Multi-Aspect Streaming Tensor Completion.
KDD
Qingquan Song, Xiao Huang, Hancheng Ge, James Caverlee, Xia Hu
2017 J jnl
Tensor Completion Algorithms in Big Data Analytics.
CoRR
Qingquan Song, Hancheng Ge, James Caverlee, Xia Hu