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Qingquan Song

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

21

Venues

11

Active years

2017–2026

Best venue rank

A*

Where they publish

Papers

21 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLDistilling the Essence: Efficient Reasoning Distillation via Sequence Truncation.Wei-Rui Chen, Vignesh Kothapalli, Ata Fatahi Baarzi, Hejian Sang, Shao Tang, Qingquan Song, Zhipeng Wang, Muhammad Abdul-Mageed
2025EMNLPScaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems.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
2025ICMLAlphaPO: Reward Shape Matters for LLM Alignment.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
2025WWWEfficient Algorithms for Leveraging LLMs for Generative and Predictive Recommender Systems.Kayhan Behdin, Yun Dai, Gregory Dexter, Aman Gupta, Rahul Mazumder, Ankan Saha, Qingquan Song, Shao Tang, Sirou Zhu, Pin-Lun Hsu
2024CIKMLiNR: Model Based Neural Retrieval on GPUs at LinkedIn.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
2024KDDLiRank: Industrial Large Scale Ranking Models at LinkedIn.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
2024WWWAI Driven Online Advertising: Market Design, Generative AI, and Ethics.Fengxiang He, Mengnan Du, Aris Filos-Ratsikas, Lu Cheng, Qingquan Song, Min Lin, John Vines
2022KDDGeneralized Deep Mixed Models.Jun Shi, Chengming Jiang, Aman Gupta, Mingzhou Zhou, Yunbo Ouyang, Qiang Charles Xiao, Qingquan Song, Yi (Alice) Wu, Haichao Wei, Huiji Gao
2022WWWGeometric Graph Representation Learning via Maximizing Rate Reduction.Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu
2020IJCAIMulti-Channel Graph Neural Networks.Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu
2020KDDTowards Automated Neural Interaction Discovery for Click-Through Rate Prediction.Qingquan Song, Dehua Cheng, Hanning Zhou, Jiyan Yang, Yuandong Tian, Xia Hu
2020RecSysAutoRec: An Automated Recommender System.Ting-Hsiang Wang, Xia Hu, Haifeng Jin, Qingquan Song, Xiaotian Han, Zirui Liu
2019AAAILarge-Scale Heterogeneous Feature Embedding.Xiao Huang, Qingquan Song, Fan Yang, Xia Hu
2019KDDGraph Recurrent Networks With Attributed Random Walks.Xiao Huang, Qingquan Song, Yuening Li, Xia Hu
2019KDDAuto-Keras: An Efficient Neural Architecture Search System.Haifeng Jin, Qingquan Song, Xia Hu
2019KDDCoupled Variational Recurrent Collaborative Filtering.Qingquan Song, Shiyu Chang, Xia Hu
2018ICDMMulti-label Adversarial Perturbations.Qingquan Song, Haifeng Jin, Xiao Huang, Xia Hu
2018KDDTowards Explanation of DNN-based Prediction with Guided Feature Inversion.Mengnan Du, Ninghao Liu, Qingquan Song, Xia Hu
2018RecSysTrailMix: An Ensemble Recommender System for Playlist Curation and Continuation.Xing Zhao, Qingquan Song, James Caverlee, Xia Hu
2018WSDMExploring Expert Cognition for Attributed Network Embedding.Xiao Huang, Qingquan Song, Jundong Li, Xia Hu
2017KDDMulti-Aspect Streaming Tensor Completion.Qingquan Song, Xiao Huang, Hancheng Ge, James Caverlee, Xia Hu