Integrating Social Information into Collaborative Filtering for Celebrities Recommendation. - Qingwen Liu 002; Yan Xiong 001; Wenchao Huang 001 (ACIIDS (2), 2013)

Exercise-Enhanced Sequential Modeling for Student Performance Prediction. - Yu Su 002; Qingwen Liu 002; Qi Liu 003; Zhenya Huang; Yu Yin 002; Enhong Chen; Chris H. Q. Ding; Si Wei; Guoping Hu (AAAI, 2018)

Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU. - Yu Zhu 007; Yu Gong; Qingwen Liu 002; Yingcai Ma; Wenwu Ou; Junxiong Zhu; Beidou Wang; Ziyu Guan; Deng Cai 001 (CIKM, 2019)

Exact-K Recommendation via Maximal Clique Optimization. - Yu Gong; Yu Zhu 007; Lu Duan; Qingwen Liu 002; Ziyu Guan; Fei Sun 001; Wenwu Ou; Kenny Q. Zhu (KDD, 2019)

MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction. - Yufei Feng; Fuyu Lv; Binbin Hu; Fei Sun 001; Kun Kuang; Yang Liu; Qingwen Liu 002; Wenwu Ou (CIKM, 2020)

EdgeRec: Recommender System on Edge in Mobile Taobao. - Yu Gong; Ziwen Jiang; Yufei Feng; Binbin Hu; Kaiqi Zhao 001; Qingwen Liu 002; Wenwu Ou (CIKM, 2020)

ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation. - Yufei Feng; Binbin Hu; Fuyu Lv; Qingwen Liu 002; Zhiqiang Zhang 012; Wenwu Ou (SIGIR, 2020)

EdgeRec: Recommender System on Edge in Mobile Taobao. - Yu Gong; Ziwen Jiang; Kaiqi Zhao 001; Qingwen Liu 002; Wenwu Ou (CoRR, 2020)

Personalized Adaptive Meta Learning for Cold-start User Preference Prediction. - Runsheng Yu; Yu Gong; Xu He; Yu Zhu 007; Qingwen Liu 002; Wenwu Ou; Bo An 001 (AAAI, 2021)

Self-Supervised Learning on Users' Spontaneous Behaviors for Multi-Scenario Ranking in E-commerce. - Yulong Gu; Wentian Bao; Dan Ou; Xiang Li 107; Baoliang Cui; Biyu Ma; Haikuan Huang; Qingwen Liu 002; Xiaoyi Zeng (CIKM, 2021)

Revisit Recommender System in the Permutation Prospective. - Yufei Feng; Yu Gong; Fei Sun 001; Qingwen Liu 002; Wenwu Ou (CoRR, 2021)

GRN: Generative Rerank Network for Context-wise Recommendation. - Yufei Feng; Binbin Hu; Yu Gong; Fei Sun 001; Qingwen Liu 002; Wenwu Ou (CoRR, 2021)

GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction. - Yi Cao; Sihao Hu; Yu Gong; Zhao Li 007; Yazheng Yang; Qingwen Liu 002; Shouling Ji (CIKM, 2022)

Query Rewriting in TaoBao Search. - Sen Li 001; Fuyu Lv; Taiwei Jin; Guiyang Li; Yukun Zheng; Tao Zhuang; Qingwen Liu 002; Xiaoyi Zeng; James T. Kwok; Qianli Ma 001 (CIKM, 2022)

Intelligent Request Strategy Design in Recommender System. - Xufeng Qian; Yue Xu; Fuyu Lv; Shengyu Zhang 001; Ziwen Jiang; Qingwen Liu 002; Xiaoyi Zeng; Tat-Seng Chua; Fei Wu 001 (KDD, 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 107; Wentian Bao; Xin-Yu Dai; Xiaoyi Zeng; Tao Zhuang; Qingwen Liu 002 (WSDM, 2022)

GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction. - Sihao Hu; Yi Cao; Yu Gong; Zhao Li 007; Yazheng Yang; Qingwen Liu 002; Wengwu Ou; Shouling Ji (CoRR, 2022)

Multi-Objective Personalized Product Retrieval in Taobao Search. - Yukun Zheng; Jiang Bian 002; Guanghao Meng; Chao Zhang 008; Honggang Wang; Zhixuan Zhang; Sen Li 001; Tao Zhuang; Qingwen Liu 002; Xiaoyi Zeng (CoRR, 2022)

Delving into E-Commerce Product Retrieval with Vision-Language Pre-training. - Xiaoyang Zheng; Fuyu Lv; Zilong Wang; Qingwen Liu 002; Xiaoyi Zeng (SIGIR, 2023)

MAKE: Vision-Language Pre-training based Product Retrieval in Taobao Search. - Xiaoyang Zheng; Zilong Wang; Sen Li 001; Ke Xu 010; Tao Zhuang; Qingwen Liu 002; Xiaoyi Zeng (WWW (Companion Volume), 2023)

MAKE: Product Retrieval with Vision-Language Pre-training in Taobao Search. - Xiaoyang Zheng; Zilong Wang; Sen Li 001; Ke Xu 010; Tao Zhuang; Qingwen Liu 002; Xiaoyi Zeng (CoRR, 2023)

Rethinking the Role of Pre-ranking in Large-scale E-Commerce Searching System. - Zhixuan Zhang; Yuheng Huang 003; Dan Ou; Sen Li 001; Longbin Li; Qingwen Liu 002; Xiaoyi Zeng (CoRR, 2023)

COURIER: Contrastive User Intention Reconstruction for Large-Scale Pre-Train of Image Features. - Jia-Qi Yang 001; Chenglei Dai; Dan Ou; Ju Huang; De-Chuan Zhan; Qingwen Liu 002; Xiaoyi Zeng; Yang Yang 074 (CoRR, 2023)

Graph Contrastive Learning with Multi-Objective for Personalized Product Retrieval in Taobao Search. - Longbin Li; Chao Zhang 008; Sen Li 001; Yun Zhong; Qingwen Liu 002; Xiaoyi Zeng (CoRR, 2023)

Effective Utilization of Large-scale Unobserved Data in Recommendation Systems. - Feng Zhang; Yulin Xu; Hongjie Chen; Xu Yuan; Qingwen Liu 002; Yuning Jiang 001 (CIKM, 2024)

ReForm-Eval: Evaluating Large Vision Language Models via Unified Re-Formulation of Task-Oriented Benchmarks. - Zejun Li; Ye Wang; Mengfei Du; Qingwen Liu 002; Binhao Wu; Jiwen Zhang; Chengxing Zhou; Zhihao Fan; Jie Fu 001; Jingjing Chen 001; Zhongyu Wei; Xuanjing Huang 001 (ACM Multimedia, 2024)

SlimGPT: Layer-wise Structured Pruning for Large Language Models. - Gui Ling; Ziyang Wang; Yuliang Yan; Qingwen Liu 002 (NeurIPS, 2024)

Branches, Assemble! Multi-Branch Cooperation Network for Large-Scale Click-Through Rate Prediction at Taobao. - Xu Chen 026; Zida Cheng; Yuangang Pan; Shuai Xiao 002; Xiaoming Liu 011; Jinsong Lan; Qingwen Liu 002; Ivor W. Tsang (CoRR, 2024)

Counterfactual Learning-Driven Representation Disentanglement for Search-Enhanced Recommendation. - Jiajun Cui; Xu Chen 026; Shuai Xiao 002; Chen Ju; Jinsong Lan; Qingwen Liu 002; Wei Zhang (CoRR, 2024)

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods. - Zhengxing Cheng; Yuheng Huang 003; Zhixuan Zhang; Dan Ou; Qingwen Liu 002 (AAAI, 2025)

Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training. - Haicheng Wang; Chen Ju; Weixiong Lin; Shuai Xiao 002; Mengting Chen; Yixuan Huang; Chang Liu; Mingshuai Yao; Jinsong Lan; Ying Chen; Qingwen Liu 002; Yanfeng Wang (CVPR, 2025)

Bridging the Domain Gap in Grounded Situation Recognition via Unifying Event Extraction across Modalities. - Qingwen Liu 002; Zejun Li; Zhihao Fan; Cunxiang Yin; Yancheng He; Jing Cai; Jinhua Fu; Zhongyu Wei (Data Intell., 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 001; Qingwen Liu 002; Yong Yu 001; Weinan Zhang 001 (CoRR, 2025)

Squeeze Out Tokens from Sample for Finer-Grained Data Governance. - Weixiong Lin; Chen Ju; Haicheng Wang; Shengchao Hu; Shuai Xiao 002; Mengting Chen; Yuheng Jiao; Mingshuai Yao; Jinsong Lan; Qingwen Liu 002; Ying Chen (CoRR, 2025)