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- Jeffrey Xu Yu
Chinese University of Hong Kong, Hong Kong
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Publication search results
found 644 matches
- 2024
- Xiangyang Gou, Xinyi Ye, Lei Zou, Jeffrey Xu Yu:
LM-SRPQ: Efficiently Answering Regular Path Query in Streaming Graphs. Proc. VLDB Endow. 17(5): 1047-1059 (2024) - Yuhan Li, Peisong Wang, Zhixun Li, Jeffrey Xu Yu, Jia Li:
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs. CoRR abs/2402.11235 (2024) - Shuheng Fang, Kangfei Zhao, Yu Rong, Zhixun Li, Jeffrey Xu Yu:
All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction. CoRR abs/2403.17740 (2024) - 2023
- Kangfei Zhao, Zongyan He, Jeffrey Xu Yu, Yu Rong:
Learning with Small Data: Subgraph Counting Queries. Data Sci. Eng. 8(3): 292-305 (2023) - Shir Atzil, Ajay B. Satpute, Jiahe Zhang, Michael H. Parrish, Holly Shablack, Jennifer K. MacCormack, Joseph Leshin, Srishti Goel, Jeffrey A. Brooks, Jian Kang, Yuliang Xu, Matan Cohen, Kristen A. Lindquist:
The impact of sociality and affective valence on brain activation: A meta-analysis. NeuroImage 268: 119879 (2023) - Rongjian Yang, Zhijie Zhang, Weiguo Zheng, Jeffrey Xu Yu:
Fast Continuous Subgraph Matching over Streaming Graphs via Backtracking Reduction. Proc. ACM Manag. Data 1(1): 15:1-15:26 (2023) - Junyong Yang, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu:
Scalable Time-Range k-Core Query on Temporal Graphs. Proc. VLDB Endow. 16(5): 1168-1180 (2023) - Qiyan Li, Yuanyuan Zhu, Junhao Ye, Jeffrey Xu Yu:
Skyline Group Queries in Large Road-Social Networks Revisited. IEEE Trans. Knowl. Data Eng. 35(3): 3115-3129 (2023) - Kangfei Zhao, Zhiwei Zhang, Yu Rong, Jeffrey Xu Yu, Junzhou Huang:
Finding Critical Users in Social Communities via Graph Convolutions. IEEE Trans. Knowl. Data Eng. 35(1): 456-468 (2023) - Junfeng Zhou, Jeffrey Xu Yu, Yaxian Qiu, Xian Tang, Ziyang Chen, Ming Du:
Fast Reachability Queries Answering Based on $\mathsf{RCN}$RCN Reduction. IEEE Trans. Knowl. Data Eng. 35(3): 2590-2609 (2023) - Yunkai Lou, Chaokun Wang, Tiankai Gu, Hao Feng, Jun Chen, Jeffrey Xu Yu:
Time-topology analysis on temporal graphs. VLDB J. 32(4): 815-843 (2023) - Kangfei Zhao, Jeffrey Xu Yu, Qiyan Li, Hao Zhang, Yu Rong:
Learned sketch for subgraph counting: a holistic approach. VLDB J. 32(5): 937-962 (2023) - Yihan Geng, Kunyu Wang, Ziqi Liu, Michael Yu, Jeffrey Xu Yu:
Influence Maximization Revisited. ADC 2023: 356-370 - Kangfei Zhao, Yu Rong, Biaobin Jiang, Jianheng Tang, Hengtong Zhang, Jeffrey Xu Yu, Peilin Zhao:
Geometric Graph Learning for Protein Mutation Effect Prediction. CIKM 2023: 3412-3422 - Kangfei Zhao, Jeffrey Xu Yu, Zongyan He, Yu Rong:
Learning with Small Data: Subgraph Counting Queries. DASFAA (3) 2023: 308-319 - Shuheng Fang, Kangfei Zhao, Guanghua Li, Jeffrey Xu Yu:
Community Search: A Meta-Learning Approach. ICDE 2023: 2358-2371 - You Peng, Jeffrey Xu Yu, Sibo Wang:
PSPC: Efficient Parallel Shortest Path Counting on Large-Scale Graphs. ICDE 2023: 896-908 - Zhixun Li, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu:
GSLB: The Graph Structure Learning Benchmark. NeurIPS 2023 - Alexander Herzog, Kanishka Rao, Karol Hausman, Yao Lu, Paul Wohlhart, Mengyuan Yan, Jessica Lin, Montserrat Gonzalez Arenas, Ted Xiao, Daniel Kappler, Daniel Ho, Jarek Rettinghouse, Yevgen Chebotar, Kuang-Huei Lee, Keerthana Gopalakrishnan, Ryan Julian, Adrian Li, Chuyuan Fu, Bob Wei, Sangeetha Ramesh, Khem Holden, Kim Kleiven, David J. Rendleman, Sean Kirmani, Jeffrey Bingham, Jonathan Weisz, Ying Xu, Wenlong Lu, Matthew Bennice, Cody Fong, David Do, Jessica Lam, Yunfei Bai, Benjie Holson, Michael Quinlan, Noah Brown, Mrinal Kalakrishnan, Julian Ibarz, Peter Pastor, Sergey Levine:
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators. Robotics: Science and Systems 2023 - Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - Junyong Yang, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu:
Scalable Time-Range k-Core Query on Temporal Graphs(Full Version). CoRR abs/2301.03770 (2023) - Yueqing Xuan, Kacper Sokol, Jeffrey Chan, Mark Sanderson:
More Is Less: When Do Recommenders Underperform for Data-rich Users? CoRR abs/2304.07487 (2023) - Rongjian Yang, Zhijie Zhang, Weiguo Zheng, Jeffrey Xu Yu:
Fast Continuous Subgraph Matching over Streaming Graphs via Backtracking Reduction. CoRR abs/2304.12610 (2023) - Zhiwei Xue, Yuhang Li, Yash Patel, Jeffrey Regier:
Diffusion Models for Probabilistic Deconvolution of Galaxy Images. CoRR abs/2307.11122 (2023) - Ming Zhong, Junyong Yang, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu:
Towards a "Swiss Army Knife" for Scalable User-Defined Temporal (k, X)-Core Analysis. CoRR abs/2309.00361 (2023) - Shao Zhang, Jianing Yu, Xuhai Xu, Changchang Yin, Yuxuan Lu, Bingsheng Yao, Melanie Tory, Lace M. K. Padilla, Jeffrey M. Caterino, Ping Zhang, Dakuo Wang:
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis. CoRR abs/2309.12368 (2023) - Zhixun Li, Liang Wang, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu:
GSLB: The Graph Structure Learning Benchmark. CoRR abs/2310.05174 (2023) - Yoshua Bengio, Geoffrey E. Hinton, Andrew Yao, Dawn Song, Pieter Abbeel, Yuval Noah Harari, Ya-Qin Zhang, Lan Xue, Shai Shalev-Shwartz, Gillian K. Hadfield, Jeff Clune, Tegan Maharaj, Frank Hutter, Atilim Günes Baydin, Sheila A. McIlraith, Qiqi Gao, Ashwin Acharya, David Krueger, Anca D. Dragan, Philip H. S. Torr, Stuart Russell, Daniel Kahneman, Jan Brauner, Sören Mindermann:
Managing AI Risks in an Era of Rapid Progress. CoRR abs/2310.17688 (2023) - Pierre Sermanet, Tianli Ding, Jeffrey Zhao, Fei Xia, Debidatta Dwibedi, Keerthana Gopalakrishnan, Christine Chan, Gabriel Dulac-Arnold, Sharath Maddineni, Nikhil J. Joshi, Pete Florence, Wei Han, Robert Baruch, Yao Lu, Suvir Mirchandani, Peng Xu, Pannag Sanketi, Karol Hausman, Izhak Shafran, Brian Ichter, Yuan Cao:
RoboVQA: Multimodal Long-Horizon Reasoning for Robotics. CoRR abs/2311.00899 (2023) - C. Daniel Freeman, Laura Culp, Aaron Parisi, Maxwell L. Bileschi, Gamaleldin F. Elsayed, Alex Rizkowsky, Isabelle Simpson, Alex Alemi, Azade Nova, Ben Adlam, Bernd Bohnet, Gaurav Mishra, Hanie Sedghi, Igor Mordatch, Izzeddin Gur, Jaehoon Lee, John D. Co-Reyes, Jeffrey Pennington, Kelvin Xu, Kevin Swersky, Kshiteej Mahajan, Lechao Xiao, Rosanne Liu, Simon Kornblith, Noah Constant, Peter J. Liu, Roman Novak, Yundi Qian, Noah Fiedel, Jascha Sohl-Dickstein:
Frontier Language Models are not Robust to Adversarial Arithmetic, or "What do I need to say so you agree 2+2=5? CoRR abs/2311.07587 (2023)
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