Weak Supervision Enhanced Generative Network for Question Generation. - Yutong Wang; Jiyuan Zheng; Qijiong Liu; Zhou Zhao 001; Jun Xiao 001; Yueting Zhuang (IJCAI, 2019)

Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation. - Qijiong Liu; Jieming Zhu; Quanyu Dai; Xiaoming Wu 003 (COLING, 2022)

Continual Graph Convolutional Network for Text Classification. - Tiandeng Wu; Qijiong Liu; Yi Cao; Yao Huang; Xiao-Ming Wu 003; Jiandong Ding (AAAI, 2023)

FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation. - Qijiong Liu; Jieming Zhu; Jiahao Wu 004; Tiandeng Wu; Zhenhua Dong; Xiao-Ming Wu 003 (WWW, 2023)

A First Look at LLM-Powered Generative News Recommendation. - Qijiong Liu; Nuo Chen 004; Tetsuya Sakai; Xiao-Ming Wu 003 (CoRR, 2023)

Only Encode Once: Making Content-based News Recommender Greener. - Qijiong Liu; Jieming Zhu; Quanyu Dai; Xiao-Ming Wu 003 (CoRR, 2023)

Co-evolving Vector Quantization for ID-based Recommendation. - Qijiong Liu; Jiaren Xiao; Lu Fan; Jieming Zhu; Xiao-Ming Wu 003 (CoRR, 2023)

Enhancing Graph Collaborative Filtering via Uniformly Co-Clustered Intent Modeling. - Jiahao Wu 004; Wenqi Fan; Shengcai Liu; Qijiong Liu; Qing Li 001; Ke Tang 001 (CoRR, 2023)

Dataset Condensation for Recommendation. - Jiahao Wu 004; Wenqi Fan; Shengcai Liu; Qijiong Liu; Rui He; Qing Li 001; Ke Tang 001 (CoRR, 2023)

Making Multimodal Generation Easier: When Diffusion Models Meet LLMs. - Xiangyu Zhao; Bo Liu 049; Qijiong Liu; Guangyuan Shi; Xiao-Ming Wu 003 (CoRR, 2023)

Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation. - Jiahao Wu 004; Qijiong Liu; Hengchang Hu; Wenqi Fan; Shengcai Liu; Qing Li 001; Xiao-Ming Wu 003; Ke Tang 001 (CoRR, 2023)

EasyGen: Easing Multimodal Generation with BiDiffuser and LLMs. - Xiangyu Zhao; Bo Liu 049; Qijiong Liu; Guangyuan Shi; Xiao-Ming Wu 003 (ACL (1), 2024)

Lightweight Modality Adaptation to Sequential Recommendation via Correlation Supervision. - Hengchang Hu; Qijiong Liu; Chuang Li 006; Min-Yen Kan (ECIR (1), 2024)

Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey. - Qijiong Liu; Jieming Zhu; Yanting Yang; Quanyu Dai; Zhaocheng Du; Xiao-Ming Wu 003; Zhou Zhao 001; Rui Zhang 003; Zhenhua Dong (KDD, 2024)

CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation. - Jieming Zhu; Mengqun Jin; Qijiong Liu; Zexuan Qiu; Zhenhua Dong; Xiu Li 001 (RecSys, 2024)

AI Can Be Cognitively Biased: An Exploratory Study on Threshold Priming in LLM-Based Batch Relevance Assessment. - Nuo Chen 004; Jiqun Liu; Xiaoyu Dong; Qijiong Liu; Tetsuya Sakai; Xiao-Ming Wu 003 (SIGIR-AP, 2024)

ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models. - Qijiong Liu; Nuo Chen 004; Tetsuya Sakai; Xiao-Ming Wu 003 (WSDM, 2024)

Discrete Semantic Tokenization for Deep CTR Prediction. - Qijiong Liu; Hengchang Hu; Jiahao Wu 004; Jieming Zhu; Min-Yen Kan; Xiao-Ming Wu 003 (WWW (Companion Volume), 2024)

Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization. - Qijiong Liu; Jiaren Xiao; Lu Fan; Jieming Zhu; Xiao-Ming Wu 003 (WWW, 2024)

Benchmarking News Recommendation in the Era of Green AI. - Qijiong Liu; Jieming Zhu; Quanyu Dai; Xiao-Ming Wu 003 (WWW (Companion Volume), 2024)

Vector Quantization for Recommender Systems: A Review and Outlook. - Qijiong Liu; Xiaoyu Dong; Jiaren Xiao; Nuo Chen 004; Hengchang Hu; Jieming Zhu; Chenxu Zhu; Tetsuya Sakai; Xiao-Ming Wu 003 (CoRR, 2024)

Structure-aware Semantic Node Identifiers for Learning on Graphs. - Yuankai Luo; Qijiong Liu; Lei Shi 002; Xiao-Ming Wu 003 (CoRR, 2024)

STORE: Streamlining Semantic Tokenization and Generative Recommendation with A Single LLM. - Qijiong Liu; Jieming Zhu; Lu Fan; Zhou Zhao 001; Xiao-Ming Wu 003 (CoRR, 2024)

NetSafe: Exploring the Topological Safety of Multi-agent Networks. - Miao Yu; Shilong Wang 002; Guibin Zhang; Junyuan Mao; Chenlong Yin; Qijiong Liu; Qingsong Wen; Kun Wang 042; Yang Wang 015 (CoRR, 2024)

NetSafe: Exploring the Topological Safety of Multi-agent System. - Miao Yu; Shilong Wang 002; Guibin Zhang; Junyuan Mao; Chenlong Yin; Qijiong Liu; Kun Wang 056; Qingsong Wen; Yang Wang 015 (ACL (Findings), 2025)

Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation (Extended Abstract). - Jiahao Wu 004; Wenqi Fan; Jingfan Chen; Shengcai Liu; Qijiong Liu; Rui He; Qing Li 001; Ke Tang 001 (ICDE, 2025)

Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning. - Yuankai Luo; Hongkang Li; Qijiong Liu; Lei Shi 002; Xiao-Ming Wu 003 (ICLR, 2025)

Legommenders: A Comprehensive Content-Based Recommendation Library with LLM Support. - Qijiong Liu; Lu Fan; Xiao-Ming Wu 003 (WWW (Companion Volume), 2025)

Leveraging ChatGPT to Empower Training-free Dataset Condensation for Content-based Recommendation. - Jiahao Wu 004; Qijiong Liu; Hengchang Hu; Wenqi Fan; Shengcai Liu; Qing Li 001; Xiao-Ming Wu 003; Ke Tang 001 (WWW (Companion Volume), 2025)

Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation. - Jiahao Wu 004; Wenqi Fan; Jingfan Chen; Shengcai Liu; Qijiong Liu; Rui He; Qing Li 001; Ke Tang 001 (IEEE Trans. Knowl. Data Eng., 2025)

Benchmarking LLMs in Recommendation Tasks: A Comparative Evaluation with Conventional Recommenders. - Qijiong Liu; Jieming Zhu; Lu Fan; Kun Wang 042; Hengchang Hu; Wei Guo; Yong Liu 018; Xiao-Ming Wu 003 (CoRR, 2025)