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ORCIDXiaolong Liu 0012
Person information
- affiliation: Meta, Menlo Park, CA, USA
- affiliation (PhD 2025): University of Illinois at Chicago, Chicago, IL, USA
Other persons with the same name
- Xiaolong Liu — disambiguation page
- Xiaolong Liu 0001
![[0000-0001-7772-9607]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-7772-9607")
(aka: Xiao-Long Liu 0001) — Fujian Agriculture and Forestry University, College of Computer and Information Sciences, Fuzhou, China (and 2 more) - Xiaolong Liu 0002 — University of Tennessee, Department of Mechanical, Aerospace and Biomedical Engineering, Knoxville, TN, USA
- Xiaolong Liu 0003 — State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China
- Xiaolong Liu 0004 — Beijing University of Posts and Telecommunications, Department of Electrical Engineering, China
- Xiaolong Liu 0005 — Fujian Medical University, Mengchao Hepatobiliary Hospital, Fuzhou, China
- Xiaolong Liu 0006 — Fudan University, Department of Optical Science and Engineering, Shanghai, China
- Xiaolong Liu 0007 — Jiangsu University, Department of Computer Science and Communication Engineering, Zhenjiang, China
- Xiaolong Liu 0008 — Air Force Engineering University, Air and Missile Defense College, Xi'an, China
- Xiaolong Liu 0009 — Yunnan Normal University, College of Tourism and Geography Science, Kunming, China (and 1 more)
- Xiaolong Liu 0010 — Tsinghua University, Department of Computer Science, State Key Laboratory of Intelligent Technology and Systems, Beijing, China
- Xiaolong Liu 0011 — Xiangtan University, China
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2020 – today
- 2025
[c15]Zhichen Zeng, Xiaolong Liu, Mengyue Hang, Xiaoyi Liu, Qinghai Zhou, Chaofei Yang, Yiqun Liu, Yichen Ruan, Laming Chen, Yuxin Chen, Yujia Hao, Jiaqi Xu, Jade Nie, Xi Liu, Buyun Zhang, Wei Wen, Siyang Yuan, Hang Yin, Xin Zhang, Kai Wang, Wen-Yen Chen, Yiping Han, Huayu Li, Chunzhi Yang, Bo Long, Philip S. Yu, Hanghang Tong, Jiyan Yang:
InterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. CIKM 2025: 6225-6233- [c14]Xiaorui Su, Yibo Wang, Shanghua Gao, Xiaolong Liu, Valentina Giunchiglia, Djork-Arné Clevert, Marinka Zitnik:
KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA. ICLR 2025 - [c13]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Training Large Recommendation Models via Graph-Language Tokens Alignment. WWW (Companion Volume) 2025: 1470-1474 - [i16]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Training Large Recommendation Models via Graph-Language Token Alignment. CoRR abs/2502.18757 (2025) - [i15]Zhichen Zeng, Mengyue Hang, Xiaolong Liu, Xiaoyi Liu, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Zhining Liu, Siyang Yuan, Chaofei Yang, Yiqun Liu, Hang Yin, Jiyan Yang, Hanghang Tong:
Hierarchical LoRA MoE for Efficient CTR Model Scaling. CoRR abs/2510.10432 (2025) - 2024
- [c12]Chen Wang, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu:
Collaborative Alignment for Recommendation. CIKM 2024: 2315-2325 - [c11]Chen Wang, Ziwei Fan, Liangwei Yang, Mingdai Yang, Xiaolong Liu, Zhiwei Liu, Philip S. Yu:
Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation. KDD 2024: 2970-2979 - [c10]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Instruction-based Hypergraph Pretraining. SIGIR 2024: 501-511 - [c9]Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu:
Knowledge Graph Context-Enhanced Diversified Recommendation. WSDM 2024: 462-471 - [c8]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Unified Pretraining for Recommendation via Task Hypergraphs. WSDM 2024: 891-900 - [i14]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Instruction-based Hypergraph Pretraining. CoRR abs/2403.19063 (2024) - [i13]Xiaorui Su, Yibo Wang, Shanghua Gao, Xiaolong Liu, Valentina Giunchiglia, Djork-Arné Clevert, Marinka Zitnik:
Knowledge Graph Based Agent for Complex, Knowledge-Intensive QA in Medicine. CoRR abs/2410.04660 (2024) - [i12]Zhichen Zeng, Xiaolong Liu, Mengyue Hang, Xiaoyi Liu, Qinghai Zhou, Chaofei Yang, Yiqun Liu, Yichen Ruan, Laming Chen, Yuxin Chen, Yujia Hao, Jiaqi Xu, Jade Nie, Xi Liu, Buyun Zhang, Wei Wen, Siyang Yuan, Kai Wang, Wen-Yen Chen, Yiping Han, Huayu Li, Chunzhi Yang, Bo Long, Philip S. Yu, Hanghang Tong, Jiyan Yang:
InterFormer: Towards Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. CoRR abs/2411.09852 (2024) - [i11]Xiaolong Liu, Zhichen Zeng, Xiaoyi Liu, Siyang Yuan, Weinan Song, Mengyue Hang, Yiqun Liu, Chaofei Yang, Donghyun Kim, Wen-Yen Chen, Jiyan Yang, Yiping Han, Rong Jin, Bo Long, Hanghang Tong, Philip S. Yu:
A Collaborative Ensemble Framework for CTR Prediction. CoRR abs/2411.13700 (2024) - 2023
- [c7]Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu:
Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation. IEEE Big Data 2023: 393-402 - [c6]Xiaolong Liu, Liangwei Yang, Chen Wang, Mingdai Yang, Zhiwei Liu, Philip S. Yu:
Multi-View Graph Convolution for Participant Recommendation. IEEE Big Data 2023: 5647-5656 - [c5]Xi Wu, Liangwei Yang, Jibing Gong, Chao Zhou, Tianyu Lin, Xiaolong Liu, Philip S. Yu:
Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering. CIKM 2023: 2785-2794 - [c4]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. CIKM 2023: 2969-2979 - [c3]Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu:
Graph-based Alignment and Uniformity for Recommendation. CIKM 2023: 4395-4399 - [c2]Liangwei Yang, Shengjie Wang, Yunzhe Tao, Jiankai Sun, Xiaolong Liu, Philip S. Yu, Taiqing Wang:
DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation. WSDM 2023: 661-669 - [c1]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. WSDM 2023: 769-777 - [i10]Xi Wu, Liangwei Yang, Jibing Gong, Chao Zhou, Tianyu Lin, Xiaolong Liu, Philip S. Yu:
Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering. CoRR abs/2306.15905 (2023) - [i9]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. CoRR abs/2308.08620 (2023) - [i8]Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu:
Graph-based Alignment and Uniformity for Recommendation. CoRR abs/2308.09292 (2023) - [i7]Chen Wang, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu:
Collaborative Contextualization: Bridging the Gap between Collaborative Filtering and Pre-trained Language Model. CoRR abs/2310.09400 (2023) - [i6]Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu:
Knowledge Graph Context-Enhanced Diversified Recommendation. CoRR abs/2310.13253 (2023) - [i5]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Unified Pretraining for Recommendation via Task Hypergraphs. CoRR abs/2310.13286 (2023) - [i4]Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu:
Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation. CoRR abs/2311.09577 (2023) - [i3]Xiaolong Liu, Liangwei Yang, Chen Wang, Mingdai Yang, Zhiwei Liu, Philip S. Yu:
Multi-view Graph Convolution for Participant Recommendation. CoRR abs/2311.12136 (2023) - 2022
- [i2]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. CoRR abs/2211.01830 (2022) - [i1]Liangwei Yang, Shengjie Wang, Yunzhe Tao, Jiankai Sun, Xiaolong Liu, Philip S. Yu, Taiqing Wang:
DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation. CoRR abs/2211.10486 (2022)
Coauthor Index
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