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2020 – today
- 2024
[c13]Xiangyu Zhao, Bo Liu, Qijiong Liu, Guangyuan Shi, Xiao-Ming Wu:
EasyGen: Easing Multimodal Generation with BiDiffuser and LLMs. ACL (1) 2024: 1351-1370- [c12]Hengchang Hu, Qijiong Liu, Chuang Li, Min-Yen Kan:
Lightweight Modality Adaptation to Sequential Recommendation via Correlation Supervision. ECIR (1) 2024: 123-139 - [c11]Qijiong Liu
, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong:
Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey. KDD 2024: 6566-6576 - [c10]Jieming Zhu, Mengqun Jin, Qijiong Liu, Zexuan Qiu, Zhenhua Dong, Xiu Li:
CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation. RecSys 2024: 969-974 - [c9]Nuo Chen, Jiqun Liu, Xiaoyu Dong, Qijiong Liu, Tetsuya Sakai, Xiao-Ming Wu:
AI Can Be Cognitively Biased: An Exploratory Study on Threshold Priming in LLM-Based Batch Relevance Assessment. SIGIR-AP 2024: 54-63 - [c8]Qijiong Liu, Nuo Chen, Tetsuya Sakai, Xiao-Ming Wu:
ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models. WSDM 2024: 452-461 - [c7]Qijiong Liu, Hengchang Hu, Jiahao Wu, Jieming Zhu, Min-Yen Kan, Xiao-Ming Wu:
Discrete Semantic Tokenization for Deep CTR Prediction. WWW (Companion Volume) 2024: 919-922 - [c6]Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiao-Ming Wu:
Benchmarking News Recommendation in the Era of Green AI. WWW (Companion Volume) 2024: 971-974 - [c5]Qijiong Liu, Jiaren Xiao, Lu Fan, Jieming Zhu, Xiao-Ming Wu:
Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization. WWW 2024: 3521-3532 - [i19]Hengchang Hu, Qijiong Liu, Chuang Li, Min-Yen Kan:
Lightweight Modality Adaptation to Sequential Recommendation via Correlation Supervision. CoRR abs/2401.07257 (2024) - [i18]Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiao-Ming Wu:
Benchmarking News Recommendation in the Era of Green AI. CoRR abs/2403.04736 (2024) - [i17]Qijiong Liu, Hengchang Hu, Jiahao Wu, Jieming Zhu, Min-Yen Kan, Xiao-Ming Wu:
Discrete Semantic Tokenization for Deep CTR Prediction. CoRR abs/2403.08206 (2024) - [i16]Qijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong:
Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey. CoRR abs/2404.00621 (2024) - [i15]Qijiong Liu, Xiaoyu Dong, Jiaren Xiao, Nuo Chen, Hengchang Hu, Jieming Zhu, Chenxu Zhu, Tetsuya Sakai, Xiao-Ming Wu:
Vector Quantization for Recommender Systems: A Review and Outlook. CoRR abs/2405.03110 (2024) - [i14]Yuankai Luo, Qijiong Liu, Lei Shi, Xiao-Ming Wu:
Structure-aware Semantic Node Identifiers for Learning on Graphs. CoRR abs/2405.16435 (2024) - [i13]Qijiong Liu, Jieming Zhu, Lu Fan, Zhou Zhao, Xiao-Ming Wu:
STORE: Streamlining Semantic Tokenization and Generative Recommendation with A Single LLM. CoRR abs/2409.07276 (2024) - [i12]Nuo Chen, Jiqun Liu, Xiaoyu Dong, Qijiong Liu, Tetsuya Sakai, Xiao-Ming Wu:
AI Can Be Cognitively Biased: An Exploratory Study on Threshold Priming in LLM-Based Batch Relevance Assessment. CoRR abs/2409.16022 (2024) - [i11]Miao Yu, Shilong Wang, Guibin Zhang, Junyuan Mao, Chenlong Yin, Qijiong Liu, Qingsong Wen, Kun Wang, Yang Wang:
NetSafe: Exploring the Topological Safety of Multi-agent Networks. CoRR abs/2410.15686 (2024) - 2023
- [c4]Tiandeng Wu, Qijiong Liu, Yi Cao, Yao Huang, Xiao-Ming Wu, Jiandong Ding:
Continual Graph Convolutional Network for Text Classification. AAAI 2023: 13754-13762 - [c3]Qijiong Liu, Jieming Zhu, Jiahao Wu, Tiandeng Wu, Zhenhua Dong, Xiao-Ming Wu:
FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation. WWW 2023: 3309-3318 - [i10]Qijiong Liu, Jieming Zhu, Jiahao Wu, Tiandeng Wu, Zhenhua Dong, Xiao-Ming Wu:
FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation. CoRR abs/2304.00545 (2023) - [i9]Tiandeng Wu, Qijiong Liu, Yi Cao, Yao Huang, Xiao-Ming Wu, Jiandong Ding:
Continual Graph Convolutional Network for Text Classification. CoRR abs/2304.04152 (2023) - [i8]Qijiong Liu, Nuo Chen, Tetsuya Sakai, Xiao-Ming Wu:
A First Look at LLM-Powered Generative News Recommendation. CoRR abs/2305.06566 (2023) - [i7]Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiao-Ming Wu:
Only Encode Once: Making Content-based News Recommender Greener. CoRR abs/2308.14155 (2023) - [i6]Qijiong Liu, Jiaren Xiao, Lu Fan, Jieming Zhu, Xiao-Ming Wu:
Co-evolving Vector Quantization for ID-based Recommendation. CoRR abs/2308.16761 (2023) - [i5]Jiahao Wu, Wenqi Fan, Shengcai Liu, Qijiong Liu, Qing Li, Ke Tang:
Enhancing Graph Collaborative Filtering via Uniformly Co-Clustered Intent Modeling. CoRR abs/2309.12723 (2023) - [i4]Jiahao Wu, Wenqi Fan, Shengcai Liu, Qijiong Liu, Rui He, Qing Li, Ke Tang:
Dataset Condensation for Recommendation. CoRR abs/2310.01038 (2023) - [i3]Xiangyu Zhao, Bo Liu, Qijiong Liu, Guangyuan Shi, Xiao-Ming Wu:
Making Multimodal Generation Easier: When Diffusion Models Meet LLMs. CoRR abs/2310.08949 (2023) - [i2]Jiahao Wu, Qijiong Liu, Hengchang Hu, Wenqi Fan, Shengcai Liu, Qing Li, Xiao-Ming Wu, Ke Tang:
Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation. CoRR abs/2310.09874 (2023) - 2022
- [c2]Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiaoming Wu:
Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation. COLING 2022: 2823-2833
2010 – 2019
- 2019
- [c1]Yutong Wang, Jiyuan Zheng, Qijiong Liu, Zhou Zhao, Jun Xiao, Yueting Zhuang:
Weak Supervision Enhanced Generative Network for Question Generation. IJCAI 2019: 3806-3812 - [i1]Yutong Wang, Jiyuan Zheng, Qijiong Liu, Zhou Zhao, Jun Xiao, Yueting Zhuang:
Weak Supervision Enhanced Generative Network for Question Generation. CoRR abs/1907.00607 (2019)
Coauthor Index
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last updated on 2024-12-10 20:51 CET by the dblp team
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