Yinglong Xia
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
51
Venues
22
Active years
2007–2026
Best venue rank
A*
Where they publish
Papers
51 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WWW | RecoWorld: Building Simulated Environments for Agentic Recommender Systems. | Fei Liu, Xinyu Lin, Hanchao Yu, Mingyuan Wu, Jianyu Wang, Qiang Zhang, Zhuokai Zhao, Yinglong Xia, Yao Zhang, Weiwei Li, Mingze Gao, Qifan Wang, Lizhu Zhang, Benyu Zhang, Xiangjun Fan |
| 2026 | WWW | Guiding Generative Recommender Systems with Structured Human Priors via Multi-head Decoding. | Yunkai Zhang, Qiang Zhang, Diji Yang, Ryan Lin, Ruizhong Qiu, Benyu Zhang, Hanchao Yu, Jason Liu, Yinglong Xia, Zhuokai Zhao, Lizhu Zhang, Xiangjun Fan, Zhuoran Yu, Abhishek Kumar, Zeyu Zheng |
| 2026 | SIGIR | Verifiable Reasoning for LLM-based Generative Recommendation. | Xinyu Lin, Hanqing Zeng, Hanchao Yu, Yinglong Xia, Jiang Zhang, Aashu Singh, Fei Liu, Wenjie Wang, Fuli Feng, Tat-Seng Chua, Qifan Wang |
| 2026 | WSDM | RankGraph-Context: Empowering Different Industrial Recommendation System Stages. | Dongqi Fu, Yinglong Xia, Hong Li, Hong Yan |
| 2026 | WSDM | RankID: A Unified Semantic ID Learned through Multi-Stage Semantic Alignment of Multimodal Features. | Jiangfan Zhang, Yinglong Xia, Jiang Li, Chen Yuan, Yonghuan Yang, Jun Xiao, Xiangjun Fan |
| 2025 | CIKM | Billion-Scale Graph Deep Learning Framework for Ads Recommendation. | Si Zhang, Weilin Cong, Dongqi Fu, Andrey Malevich, Hao Wu, Baichuan Yuan, Xin Zhou, Kaveh Hassani, Zhigang Hua, Austin Derrow-Pinion, Yan Xie, Xuewei Wang, Yinglong Xia, Ning Yao, Vena Jia Li, Sem Park, Bo Long |
| 2024 | AAAI | Hierarchical Multi-Marginal Optimal Transport for Network Alignment. | Zhichen Zeng, Boxin Du, Si Zhang, Yinglong Xia, Zhining Liu, Hanghang Tong |
| 2024 | ICLR | Deceptive Fairness Attacks on Graphs via Meta Learning. | Jian Kang, Yinglong Xia, Ross Maciejewski, Jiebo Luo, Hanghang Tong |
| 2024 | ICLR | Mixture of Weak and Strong Experts on Graphs. | Hanqing Zeng, Hanjia Lyu, Diyi Hu, Yinglong Xia, Jiebo Luo |
| 2024 | NAACL | RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. | Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz |
| 2024 | NAACL | LLM-Rec: Personalized Recommendation via Prompting Large Language Models. | Hanjia Lyu, Song Jiang, Hanqing Zeng, Yinglong Xia, Qifan Wang, Si Zhang, Ren Chen, Christopher Leung, Jiajie Tang, Jiebo Luo |
| 2023 | ECAI | User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations. | Juntao Tan, Yingqiang Ge, Yan Zhu, Yinglong Xia, Jiebo Luo, Jianchao Ji, Yongfeng Zhang |
| 2023 | ICML | Generative Graph Dictionary Learning. | Zhichen Zeng, Ruike Zhu, Yinglong Xia, Hanqing Zeng, Hanghang Tong |
| 2023 | KDD | Deep Learning on Graphs: Methods and Applications (DLG-KDD2023). | Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo |
| 2023 | KDD | RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery. | Chuxu Zhang, Dongkuan Xu, Mojan Javaheripi, Subhabrata Mukherjee, Lingfei Wu, Yinglong Xia, Jundong Li, Meng Jiang, Yanzhi Wang |
| 2023 | WWW | PARROT: Position-Aware Regularized Optimal Transport for Network Alignment. | Zhichen Zeng, Si Zhang, Yinglong Xia, Hanghang Tong |
| 2023 | SC | An Efficient Distributed Graph Engine for Deep Learning on Graphs. | Gangda Deng, mer Faruk Akgl, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Jianbo Li, Viktor K. Prasanna |
| 2023 | SDM | DyFormer : A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization Ability. | Weilin Cong, Yanhong Wu, Yuandong Tian, Mengting Gu, Yinglong Xia, Chun-cheng Jason Chen, Mehrdad Mahdavi |
| 2023 | SDM | Representation Learning on Dynamic Network of Networks. | Si Zhang, Yinglong Xia, Yan Zhu, Hanghang Tong |
| 2022 | AAAI | Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning. | Yuheng Zhang, Hanghang Tong, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying |
| 2022 | ICDM | Active Heterogeneous Graph Neural Networks with Per-step Meta-Q-Learning. | Yuheng Zhang, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying, Hanghang Tong |
| 2022 | KDD | Joint Knowledge Graph Completion and Question Answering. | Lihui Liu, Boxin Du, Jiejun Xu, Yinglong Xia, Hanghang Tong |
| 2022 | KDD | Deep Learning on Graphs: Methods and Applications (DLG-KDD2022). | Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo |
| 2022 | WWW | RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network. | Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong |
| 2022 | SIGIR | Explainable Fairness in Recommendation. | Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang |
| 2021 | CIKM | DESTINE: Dense Subgraph Detection on Multi-Layered Networks. | Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Jiejun Xu, Hanghang Tong |
| 2021 | KDD | The Sixth International Workshop on Deep Learning on Graphs - Methods and Applications (DLG-KDD'21). | Lingfei Wu, Jiliang Tang, Yinglong Xia, Jian Pei, Xiaojie Guo |
| 2021 | KDD | Balancing Consistency and Disparity in Network Alignment. | Si Zhang, Hanghang Tong, Long Jin, Yinglong Xia, Yunsong Guo |
| 2020 | ICDE | Finding the Best k in Core Decomposition: A Time and Space Optimal Solution. | Deming Chu, Fan Zhang, Xuemin Lin, Wenjie Zhang, Ying Zhang, Yinglong Xia, Chenyi Zhang |
| 2020 | KDD | NetTrans: Neural Cross-Network Transformation. | Si Zhang, Hanghang Tong, Yinglong Xia, Liang Xiong, Jiejun Xu |
| 2019 | CIKM | Robust Embedded Deep K-means Clustering. | Rui Zhang, Hanghang Tong, Yinglong Xia, Yada Zhu |
| 2019 | KDD | Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding. | Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia, Charu C. Aggarwal |
| 2019 | KDD | Roll of Unified Graph Analysis Platforms. | Yinglong Xia |
| 2019 | WWW | To Return or to Explore: Modelling Human Mobility and Dynamics in Cyberspace. | Tianran Hu, Yinglong Xia, Jiebo Luo |
| 2018 | CIKM | X-Rank: Explainable Ranking in Complex Multi-Layered Networks. | Jian Kang, Scott Freitas, Haichao Yu, Yinglong Xia, Nan Cao, Hanghang Tong |
| 2018 | ICPP | C-Graph: A Highly Efficient Concurrent Graph Reachability Query Framework. | Li Zhou, Ren Chen, Yinglong Xia, Radu Teodorescu |
| 2018 | KDD | Scalable Spectral Clustering Using Random Binning Features. | Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charu C. Aggarwal |
| 2017 | CIKM | Rapid Analysis of Network Connectivity. | Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia |
| 2015 | EuroPar | Accelerating Minimum Spanning Forest Computations on Multicore Platforms. | Guojing Cong, Ilie Gabriel Tanase, Yinglong Xia |
| 2015 | ISM | Efficient Multi-training Framework of Image Deep Learning on GPU Cluster. | Chun-Fu (Richard) Chen, Gwo Giun Chris Lee, Yinglong Xia, W. Sabrina Lin, Toyotaro Suzumura, Ching-Yung Lin |
| 2015 | SC | GraphBIG: understanding graph computing in the context of industrial solutions. | Lifeng Nai, Yinglong Xia, Ilie Gabriel Tanase, Hyesoon Kim, Ching-Yung Lin |
| 2014 | SIGMOD | A Highly Efficient Runtime and Graph Library for Large-Scale Graph Analytics. | Ilie Gabriel Tanase, Yinglong Xia, Lifeng Nai, Yanbin Liu, Wei Tan, Jason Crawford, Ching-Yung Lin |
| 2012 | UAI | Fast Graph Construction Using Auction Algorithm. | Jun Wang, Yinglong Xia |
| 2012 | SBAC-PAD | Parallel Exact Inference on Multicore Using MapReduce. | Nam Ma, Yinglong Xia, Viktor K. Prasanna |
| 2011 | SBAC-PAD | Data Parallelism for Belief Propagation in Factor Graphs. | Nam Ma, Yinglong Xia, Viktor K. Prasanna |
| 2010 | ICPP | Parallel Exact Inference on a CPU-GPGPU Heterogenous System. | Hyeran Jeon, Yinglong Xia, Viktor K. Prasanna |
| 2010 | JSSPP | Hierarchical Scheduling of DAG Structured Computations on Manycore Processors with Dynamic Thread Grouping. | Yinglong Xia, Viktor K. Prasanna, James Li |
| 2010 | SBAC-PAD | Distributed Evidence Propagation in Junction Trees. | Yinglong Xia, Viktor K. Prasanna |
| 2009 | PACT | Parallel Evidence Propagation on Multicore Processors. | Yinglong Xia, Xiaojun Feng, Viktor K. Prasanna |
| 2008 | SC | Parallel exact inference on the cell broadband engine processor. | Yinglong Xia, Viktor K. Prasanna |
| 2007 | SBAC-PAD | Node Level Primitives for Parallel Exact Inference. | Yinglong Xia, Viktor K. Prasanna |