Qingwen Liu

According to our database, Qingwen Liu authored at least 34 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Squeeze Out Tokens from Sample for Finer-Grained Data Governance.

Weixiong Lin, Chen Ju, Haicheng Wang, Shengchao Hu, Shuai Xiao, Mengting Chen, Yuheng Jiao, Mingshuai Yao, Jinsong Lan, Qingwen Liu, Ying Chen

CoRR, March, 2025

Bursting Filter Bubble: Enhancing Serendipity Recommendations with Aligned Large Language Models.

Yunjia Xi, Muyan Weng, Wen Chen, Chao Yi, Dian Chen, Gaoyang Guo, Mao Zhang, Jian Wu, Yuning Jiang, Qingwen Liu, Yong Yu, Weinan Zhang

CoRR, February, 2025

Bridging the Domain Gap in Grounded Situation Recognition via Unifying Event Extraction across Modalities.

Qingwen Liu, Zejun Li, Zhihao Fan, Cunxiang Yin, Yancheng He, Jing Cai, Jinhua Fu, Zhongyu Wei

Data Intell., 2025

Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training.

Haicheng Wang, Chen Ju, Weixiong Lin, Shuai Xiao, Mengting Chen, Yixuan Huang, Chang Liu, Mingshuai Yao, Jinsong Lan, Ying Chen, Qingwen Liu, Yanfeng Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods.

Zhengxing Cheng, Yuheng Huang, Zhixuan Zhang, Dan Ou, Qingwen Liu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Counterfactual Learning-Driven Representation Disentanglement for Search-Enhanced Recommendation.

Jiajun Cui, Xu Chen, Shuai Xiao, Chen Ju, Jinsong Lan, Qingwen Liu, Wei Zhang

CoRR, 2024

Branches, Assemble! Multi-Branch Cooperation Network for Large-Scale Click-Through Rate Prediction at Taobao.

Xu Chen, Zida Cheng, Yuangang Pan, Shuai Xiao, Xiaoming Liu, Jinsong Lan, Qingwen Liu, Ivor W. Tsang

CoRR, 2024

SlimGPT: Layer-wise Structured Pruning for Large Language Models.

Gui Ling, Ziyang Wang, Yuliang Yan, Qingwen Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ReForm-Eval: Evaluating Large Vision Language Models via Unified Re-Formulation of Task-Oriented Benchmarks.

Zejun Li, Ye Wang, Mengfei Du, Qingwen Liu, Binhao Wu, Jiwen Zhang, Chengxing Zhou, Zhihao Fan, Jie Fu, Jingjing Chen, Zhongyu Wei, Xuanjing Huang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Effective Utilization of Large-scale Unobserved Data in Recommendation Systems.

Feng Zhang, Yulin Xu, Hongjie Chen, Xu Yuan, Qingwen Liu, Yuning Jiang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Graph Contrastive Learning with Multi-Objective for Personalized Product Retrieval in Taobao Search.

Longbin Li, Chao Zhang, Sen Li, Yun Zhong, Qingwen Liu, Xiaoyi Zeng

CoRR, 2023

COURIER: Contrastive User Intention Reconstruction for Large-Scale Pre-Train of Image Features.

Jia-Qi Yang, Chenglei Dai, Dan Ou, Ju Huang, De-Chuan Zhan, Qingwen Liu, Xiaoyi Zeng, Yang Yang

CoRR, 2023

Rethinking the Role of Pre-ranking in Large-scale E-Commerce Searching System.

Zhixuan Zhang, Yuheng Huang, Dan Ou, Sen Li, Longbin Li, Qingwen Liu, Xiaoyi Zeng

CoRR, 2023

MAKE: Product Retrieval with Vision-Language Pre-training in Taobao Search.

Xiaoyang Zheng, Zilong Wang, Sen Li, Ke Xu, Tao Zhuang, Qingwen Liu, Xiaoyi Zeng

CoRR, 2023

MAKE: Vision-Language Pre-training based Product Retrieval in Taobao Search.

Xiaoyang Zheng, Zilong Wang, Sen Li, Ke Xu, Tao Zhuang, Qingwen Liu, Xiaoyi Zeng

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Delving into E-Commerce Product Retrieval with Vision-Language Pre-training.

Xiaoyang Zheng, Fuyu Lv, Zilong Wang, Qingwen Liu, Xiaoyi Zeng

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022

Multi-Objective Personalized Product Retrieval in Taobao Search.

Yukun Zheng, Jiang Bian, Guanghao Meng, Chao Zhang, Honggang Wang, Zhixuan Zhang, Sen Li, Tao Zhuang, Qingwen Liu, Xiaoyi Zeng

CoRR, 2022

GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction.

Sihao Hu, Yi Cao, Yu Gong, Zhao Li, Yazheng Yang, Qingwen Liu, Wengwu Ou, Shouling Ji

CoRR, 2022

Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search.

Zhifang Fan, Dan Ou, Yulong Gu, Bairan Fu, Xiang Li, Wentian Bao, Xin-Yu Dai, Xiaoyi Zeng, Tao Zhuang, Qingwen Liu

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Intelligent Request Strategy Design in Recommender System.

Xufeng Qian, Yue Xu, Fuyu Lv, Shengyu Zhang, Ziwen Jiang, Qingwen Liu, Xiaoyi Zeng, Tat-Seng Chua, Fei Wu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Query Rewriting in TaoBao Search.

Sen Li, Fuyu Lv, Taiwei Jin, Guiyang Li, Yukun Zheng, Tao Zhuang, Qingwen Liu, Xiaoyi Zeng, James T. Kwok, Qianli Ma

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction.

Yi Cao, Sihao Hu, Yu Gong, Zhao Li, Yazheng Yang, Qingwen Liu, Shouling Ji

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

GRN: Generative Rerank Network for Context-wise Recommendation.

Yufei Feng, Binbin Hu, Yu Gong, Fei Sun, Qingwen Liu, Wenwu Ou

CoRR, 2021

Revisit Recommender System in the Permutation Prospective.

Yufei Feng, Yu Gong, Fei Sun, Qingwen Liu, Wenwu Ou

CoRR, 2021

Self-Supervised Learning on Users' Spontaneous Behaviors for Multi-Scenario Ranking in E-commerce.

Yulong Gu, Wentian Bao, Dan Ou, Xiang Li, Baoliang Cui, Biyu Ma, Haikuan Huang, Qingwen Liu, Xiaoyi Zeng

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Personalized Adaptive Meta Learning for Cold-start User Preference Prediction.

Runsheng Yu, Yu Gong, Xu He, Yu Zhu, Qingwen Liu, Wenwu Ou, Bo An

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

EdgeRec: Recommender System on Edge in Mobile Taobao.

Yu Gong, Ziwen Jiang, Kaiqi Zhao, Qingwen Liu, Wenwu Ou

CoRR, 2020

ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation.

Yufei Feng, Binbin Hu, Fuyu Lv, Qingwen Liu, Zhiqiang Zhang, Wenwu Ou

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

EdgeRec: Recommender System on Edge in Mobile Taobao.

Yu Gong, Ziwen Jiang, Yufei Feng, Binbin Hu, Kaiqi Zhao, Qingwen Liu, Wenwu Ou

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction.

Yufei Feng, Fuyu Lv, Binbin Hu, Fei Sun, Kun Kuang, Yang Liu, Qingwen Liu, Wenwu Ou

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Exact-K Recommendation via Maximal Clique Optimization.

Yu Gong, Yu Zhu, Lu Duan, Qingwen Liu, Ziyu Guan, Fei Sun, Wenwu Ou, Kenny Q. Zhu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU.

Yu Zhu, Yu Gong, Qingwen Liu, Yingcai Ma, Wenwu Ou, Junxiong Zhu, Beidou Wang, Ziyu Guan, Deng Cai

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Exercise-Enhanced Sequential Modeling for Student Performance Prediction.

Yu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris H. Q. Ding, Si Wei, Guoping Hu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2013

Integrating Social Information into Collaborative Filtering for Celebrities Recommendation.

Qingwen Liu, Yan Xiong, Wenchao Huang

Proceedings of the Intelligent Information and Database Systems - 5th Asian Conference, 2013