Yinglong Xia - RankMe

132 papers A* 24A 16B 5C 6Journal 44Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Guiding Generative Recommender Systems with Structured Human Priors via Multi-head Decoding. WWW 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	A	`conf`	RankGraph-Context: Empowering Different Industrial Recommendation System Stages. WSDM Dongqi Fu, Yinglong Xia, Hong Li, Hong Yan
2026	A	`conf`	RankID: A Unified Semantic ID Learned through Multi-Stage Semantic Alignment of Multimodal Features. WSDM Jiangfan Zhang, Yinglong Xia, Jiang Li, Chen Yuan, Yonghuan Yang, Jun Xiao, Xiangjun Fan
2026	J	`jnl`	ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning. CoRR Ruizhong Qiu, Hanqing Zeng, Yinglong Xia, Yiwen Meng, Ren Chen, Jiarui Feng, Dongqi Fu, Qifan Wang, Jiayi Liu, Jun Xiao, Xiangjun Fan, Benyu Zhang, Hong Li, Zhining Liu, Hyunsik Yoo, Zhichen Zeng, Tianxin Wei, Hanghang Tong
2026	J	`jnl`	Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey. CoRR Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang, Yuanchen Bei, Yankai Chen, Tao Feng, Xinyu Pan, Zhen Tan, Yu Wang, Tianxin Wei, Shanglin Wu, Ruiyao Xu, Liangwei Yang, Rui Yang, Wooseong Yang, Chin-Yuan Yeh, Hanrong Zhang, Haozhen Zhang, Siqi Zhu, Henry Peng Zou, Wanjia Zhao, Song Wang, Wujiang Xu, Zixuan Ke, Zheng Hui, Dawei Li, Yaozu Wu, Langzhou He, Chen Wang, Xiongxiao Xu, Baixiang Huang, Juntao Tan, Shelby Heinecke, Huan Wang, Caiming Xiong, Ahmed A. Metwally, Jun Yan, Chen-Yu Lee, Hanqing Zeng, Yinglong Xia, Xiaokai Wei, Ali Payani, Yu Wang, Haitong Ma, Wenya Wang, Chenguang Wang, Yu Zhang, Xin Wang, Yongfeng Zhang, Jiaxuan You, Hanghang Tong, Xiao Luo, Xue Liu, Yizhou Sun, Wei Wang, Julian J. McAuley, James Zou, Jiawei Han, Philip S. Yu, Kai Shu
2026	J	`jnl`	Text Has Curvature. CoRR Karish Grover, Hanqing Zeng, Yinglong Xia, Christos Faloutsos, Geoffrey J. Gordon
2026	J	`jnl`	Verifiable Reasoning for LLM-based Generative Recommendation. CoRR Xinyu Lin, Hanqing Zeng, Hanchao Yu, Yinglong Xia, Jiang Zhang, Aashu Singh, Fei Liu, Wenjie Wang, Fuli Feng, Tat-Seng Chua, Qifan Wang
2025	A	`conf`	Billion-Scale Graph Deep Learning Framework for Ads Recommendation. CIKM 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 Li, Sem Park, Bo Long
2025	J	`jnl`	CRAG-MM: Multi-modal Multi-turn Comprehensive RAG Benchmark. CoRR Jiaqi Wang, Xiao Yang, Kai Sun, Parth Suresh, Sanat Sharma, Adam Czyzewski, Derek Andersen, Surya Teja Appini, Arkav Banerjee, Sajal Choudhary, Shervin Ghasemlou, Ziqiang Guan, Akil Iyer, Haidar Khan, Lingkun Kong, Roy Luo, Tiffany Ma, Zhen Qiao, David Tran, Wenfang Xu, Skyler Yeatman, Chen Zhou, Gunveer Gujral, Yinglong Xia, Shane Moon, Nicolas Scheffer, Nirav Shah, Eun Chang, Yue Liu, Florian Metze, Tammy Stark, Zhaleh Feizollahi, Andrea Jessee, Mangesh Pujari, Ahmed Aly, Babak Damavandi, Rakesh Wanga, Anuj Kumar, Rohit Patel, Wen-tau Yih, Xin Luna Dong
2025	J	`jnl`	Don't Waste It: Guiding Generative Recommenders with Structured Human Priors via Multi-head Decoding. CoRR Yunkai Zhang, Qiang Zhang, Feng Lin, Ruizhong Qiu, Hanchao Yu, Jiayi Liu, Yinglong Xia, Zhuoran Yu, Zeyu Zheng, Diji Yang
2025	J	`jnl`	Haystack Engineering: Context Engineering for Heterogeneous and Agentic Long-Context Evaluation. CoRR Mufei Li, Dongqi Fu, Limei Wang, Si Zhang, Hanqing Zeng, Kaan Sancak, Ruizhong Qiu, Haoyu Wang, Xiaoxin He, Xavier Bresson, Yinglong Xia, Chonglin Sun, Pan Li
2025	J	`jnl`	RecoWorld: Building Simulated Environments for Agentic Recommender Systems. CoRR 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
2025	J	`jnl`	Retrieval-Augmented Generation with Graphs (GraphRAG). CoRR Haoyu Han, Yu Wang, Harry Shomer, Kai Guo, Jiayuan Ding, Yongjia Lei, Mahantesh Halappanavar, Ryan A. Rossi, Subhabrata Mukherjee, Xianfeng Tang, Qi He, Zhigang Hua, Bo Long, Tong Zhao, Neil Shah, Amin Javari, Yinglong Xia, Jiliang Tang
2025	J	`jnl`	S'MoRE: Structural Mixture of Residual Experts for LLM Fine-tuning. CoRR Hanqing Zeng, Yinglong Xia, Zhuokai Zhao, Gilbert Jiang, Qiang Zhang, Jiayi Liu, Lizhu Zhang, Xiangjun Fan, Benyu Zhang
2025	—	`conf`	Toward User Preference Alignment in LLM Recommendation via Explicit Context Feedback. CogMI Weizhi Zhang, Wooseong Yang, Yuxin Cui, Zhaohui Guo, Hins Hu, Liangwei Yang, Henry Peng Zou, Qifei Wang, Hanqing Zeng, Jiayi Liu, Yinglong Xia, Philip S. Yu
2025	J	`jnl`	Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey. CoRR Bo Ni, Zheyuan Liu, Leyao Wang, Yongjia Lei, Yuying Zhao, Xueqi Cheng, Qingkai Zeng, Luna Dong, Yinglong Xia, Krishnaram Kenthapadi, Ryan A. Rossi, Franck Dernoncourt, Md. Mehrab Tanjim, Nesreen K. Ahmed, Xiaorui Liu, Wenqi Fan, Erik Blasch, Yu Wang, Meng Jiang, Tyler Derr
2025	J	`jnl`	Training Diverse Graph Experts for Ensembles: A Systematic Empirical Study. CoRR Gangda Deng, Yuxin Yang, Ömer Faruk Akgül, Hanqing Zeng, Yinglong Xia, Rajgopal Kannan, Viktor K. Prasanna
2024	A*	`conf`	Deceptive Fairness Attacks on Graphs via Meta Learning. ICLR Jian Kang, Yinglong Xia, Ross Maciejewski, Jiebo Luo, Hanghang Tong
2024	J	`jnl`	Discovering and Maintaining the Best $k$k in Core Decomposition. IEEE Trans. Knowl. Data Eng. Deming Chu, Fan Zhang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Yinglong Xia, Chenyi Zhang
2024	A*	`conf`	Hierarchical Multi-Marginal Optimal Transport for Network Alignment. AAAI Zhichen Zeng, Boxin Du, Si Zhang, Yinglong Xia, Zhining Liu, Hanghang Tong
2024	—	`conf`	LLM-Rec: Personalized Recommendation via Prompting Large Language Models. NAACL-HLT (Findings) Hanjia Lyu, Song Jiang, Hanqing Zeng, Yinglong Xia, Qifan Wang, Si Zhang, Ren Chen, Christopher Leung, Jiajie Tang, Jiebo Luo
2024	A*	`conf`	Mixture of Weak and Strong Experts on Graphs. ICLR Hanqing Zeng, Hanjia Lyu, Diyi Hu, Yinglong Xia, Jiebo Luo
2024	—	`conf`	RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. NAACL-HLT Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz
2024	J	`jnl`	Retrieval Augmentation via User Interest Clustering. CoRR Hanjia Lyu, Hanqing Zeng, Yinglong Xia, Ren Chen, Jiebo Luo
2024	A	`conf`	TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning. IPDPS Gangda Deng, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Christopher Leung, Jianbo Li, Rajgopal Kannan, Viktor K. Prasanna
2024	J	`jnl`	TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning. CoRR Gangda Deng, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Christopher Leung, Jianbo Li, Rajgopal Kannan, Viktor K. Prasanna
2023	—	`conf`	An Efficient Distributed Graph Engine for Deep Learning on Graphs. SC Workshops Gangda Deng, Ömer Faruk Akgül, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Jianbo Li, Viktor K. Prasanna
2023	J	`jnl`	Deceptive Fairness Attacks on Graphs via Meta Learning. CoRR Jian Kang, Yinglong Xia, Ross Maciejewski, Jiebo Luo, Hanghang Tong
2023	A*	`conf`	Deep Learning on Graphs: Methods and Applications (DLG-KDD2023). KDD Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo
2023	A	`conf`	DyFormer : A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization Ability. SDM Weilin Cong, Yanhong Wu, Yuandong Tian, Mengting Gu, Yinglong Xia, Chun-cheng Jason Chen, Mehrdad Mahdavi
2023	A*	`conf`	Generative Graph Dictionary Learning. ICML Zhichen Zeng, Ruike Zhu, Yinglong Xia, Hanqing Zeng, Hanghang Tong
2023	J	`jnl`	Hierarchical Multi-Marginal Optimal Transport for Network Alignment. CoRR Zhichen Zeng, Boxin Du, Si Zhang, Yinglong Xia, Zhining Liu, Hanghang Tong
2023	J	`jnl`	LLM-Rec: Personalized Recommendation via Prompting Large Language Models. CoRR Hanjia Lyu, Song Jiang, Hanqing Zeng, Yinglong Xia, Jiebo Luo
2023	J	`jnl`	Mixture of Weak & Strong Experts on Graphs. CoRR Hanqing Zeng, Hanjia Lyu, Diyi Hu, Yinglong Xia, Jiebo Luo
2023	A*	`conf`	PARROT: Position-Aware Regularized Optimal Transport for Network Alignment. WWW Zhichen Zeng, Si Zhang, Yinglong Xia, Hanghang Tong
2023	A*	`conf`	RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery. KDD Chuxu Zhang, Dongkuan Xu, Mojan Javaheripi, Subhabrata Mukherjee, Lingfei Wu, Yinglong Xia, Jundong Li, Meng Jiang, Yanzhi Wang
2023	A	`conf`	Representation Learning on Dynamic Network of Networks. SDM Si Zhang, Yinglong Xia, Yan Zhu, Hanghang Tong
2023	J	`jnl`	Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. CoRR Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz
2023	A	`conf`	User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations. ECAI Juntao Tan, Yingqiang Ge, Yan Zhu, Yinglong Xia, Jiebo Luo, Jianchao Ji, Yongfeng Zhang
2023	J	`jnl`	User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations. CoRR Juntao Tan, Yingqiang Ge, Yan Zhu, Yinglong Xia, Jiebo Luo, Jianchao Ji, Yongfeng Zhang
2022	A*	`conf`	Active Heterogeneous Graph Neural Networks with Per-step Meta-Q-Learning. ICDM Yuheng Zhang, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying, Hanghang Tong
2022	A*	`conf`	Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning. AAAI Yuheng Zhang, Hanghang Tong, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying
2022	J	`jnl`	Decoupling the Depth and Scope of Graph Neural Networks. CoRR Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Ren Chen
2022	A*	`conf`	Deep Learning on Graphs: Methods and Applications (DLG-KDD2022). KDD Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo
2022	A*	`conf`	Explainable Fairness in Recommendation. SIGIR Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang
2022	J	`jnl`	Explainable Fairness in Recommendation. CoRR Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang
2022	A*	`conf`	Joint Knowledge Graph Completion and Question Answering. KDD Lihui Liu, Boxin Du, Jiejun Xu, Yinglong Xia, Hanghang Tong
2022	A*	`conf`	RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network. WWW Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong
2022	J	`jnl`	RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network. CoRR Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong
2022	B	`conf`	iFiG: Individually Fair Multi-view Graph Clustering. IEEE Big Data Yian Wang, Jian Kang, Yinglong Xia, Jiebo Luo, Hanghang Tong
2021	A*	`conf`	Balancing Consistency and Disparity in Network Alignment. KDD Si Zhang, Hanghang Tong, Long Jin, Yinglong Xia, Yunsong Guo
2021	A	`conf`	DESTINE: Dense Subgraph Detection on Multi-Layered Networks. CIKM Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Jiejun Xu, Hanghang Tong
2021	A*	`conf`	Decoupling the Depth and Scope of Graph Neural Networks. NeurIPS Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Ren Chen
2021	J	`jnl`	Dynamic Graph Representation Learning via Graph Transformer Networks. CoRR Weilin Cong, Yanhong Wu, Yuandong Tian, Mengting Gu, Yinglong Xia, Mehrdad Mahdavi, Chun-cheng Jason Chen
2021	J	`jnl`	Graph Ranking Auditing: Problem Definition and Fast Solutions. IEEE Trans. Knowl. Data Eng. Meijia Wang, Jian Kang, Nan Cao, Yinglong Xia, Wei Fan, Hanghang Tong
2021	J	`jnl`	Incremental one-class collaborative filtering with co-evolving side networks. Knowl. Inf. Syst. Chen Chen, Yinglong Xia, Hui Zang, Jundong Li, Huan Liu, Hanghang Tong
2021	A*	`conf`	Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning. NeurIPS Muhan Zhang, Pan Li, Yinglong Xia, Kai Wang, Long Jin
2021	A*	`conf`	The Sixth International Workshop on Deep Learning on Graphs - Methods and Applications (DLG-KDD'21). KDD Lingfei Wu, Jiliang Tang, Yinglong Xia, Jian Pei, Xiaojie Guo
2020	A*	`conf`	Finding the Best k in Core Decomposition: A Time and Space Optimal Solution. ICDE Deming Chu, Fan Zhang, Xuemin Lin, Wenjie Zhang, Ying Zhang, Yinglong Xia, Chenyi Zhang
2020	A*	`conf`	NetTrans: Neural Cross-Network Transformation. KDD Si Zhang, Hanghang Tong, Yinglong Xia, Liang Xiong, Jiejun Xu
2020	—	`conf`	Ranking on Network of Heterogeneous Information Networks. IEEE BigData Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Hanghang Tong
2020	J	`jnl`	Revisiting Graph Neural Networks for Link Prediction. CoRR Muhan Zhang, Pan Li, Yinglong Xia, Kai Wang, Long Jin
2020	J	`jnl`	The LDBC Graphalytics Benchmark. CoRR Alexandru Iosup, Ahmed Musaafir, Alexandru Uta, Arnau Prat-Pérez, Gábor Szárnyas, Hassan Chafi, Ilie Gabriel Tanase, Lifeng Nai, Michael J. Anderson, Mihai Capota, Narayanan Sundaram, Peter Boncz, Siegfried Depner, Stijn Heldens, Thomas Manhardt, Tim Hegeman, Wing Lung Ngai, Yinglong Xia
2019	J	`jnl`	Advances in cloud and big data computing. Concurr. Comput. Pract. Exp. Ladjel Bellatreche, Carson Kai-Sang Leung, Yinglong Xia, Didier El Baz
2019	J	`jnl`	Guest Editorial: Special Issue on Algorithms and Systems on Big Graph Processing. Int. J. Parallel Program. Qiang-Sheng Hua, Xuanhua Shi, Yinglong Xia, Howie Huang
2019	A	`conf`	Robust Embedded Deep K-means Clustering. CIKM Rui Zhang, Hanghang Tong, Yinglong Xia, Yada Zhu
2019	A*	`conf`	Roll of Unified Graph Analysis Platforms. KDD Yinglong Xia
2019	A*	`conf`	Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding. KDD Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia, Charu C. Aggarwal
2019	J	`jnl`	Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding. CoRR Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia, Charu C. Aggarwal
2019	A*	`conf`	To Return or to Explore: Modelling Human Mobility and Dynamics in Cyberspace. WWW Tianran Hu, Yinglong Xia, Jiebo Luo
2018	—	`conf`	AURORA: Auditing PageRank on Large Graphs. IEEE BigData Jian Kang, Meijia Wang, Nan Cao, Yinglong Xia, Wei Fan, Hanghang Tong
2018	J	`jnl`	AURORA: Auditing PageRank on Large Graphs. CoRR Jian Kang, Hanghang Tong, Yinglong Xia, Wei Fan
2018	B	`conf`	C-Graph: A Highly Efficient Concurrent Graph Reachability Query Framework. ICPP Li Zhou, Ren Chen, Yinglong Xia, Radu Teodorescu
2018	—	`conf`	Local Partition in Rich Graphs. IEEE BigData Scott Freitas, Nan Cao, Yinglong Xia, Duen Horng (Polo) Chau, Hanghang Tong
2018	J	`jnl`	Local Partition in Rich Graphs. CoRR Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia
2018	A*	`conf`	Scalable Spectral Clustering Using Random Binning Features. KDD Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charu C. Aggarwal
2018	J	`jnl`	Scalable Spectral Clustering Using Random Binning Features. CoRR Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charu C. Aggarwal
2018	A	`conf`	X-Rank: Explainable Ranking in Complex Multi-Layered Networks. CIKM Jian Kang, Scott Freitas, Haichao Yu, Yinglong Xia, Nan Cao, Hanghang Tong
2017	J	`jnl`	Exploring big graph computing - An empirical study from architectural perspective. J. Parallel Distributed Comput. Lifeng Nai, Yinglong Xia, Ilie Gabriel Tanase, Hyesoon Kim
2017	—	`conf`	Finding Top K Shortest Simple Paths with Improved Space Efficiency. GRADES@SIGMOD/PODS Qingsong Wen, Ren Chen, Lifeng Nai, Li Zhou, Yinglong Xia
2017	A	`conf`	Rapid Analysis of Network Connectivity. CIKM Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia
2017	—	`ed.`	Tenth International Conference on Contemporary Computing, IC3 2017, Noida, India, August 10-12, 2017 IC3 Srinivas Alum, Ananth Kalyanaraman, Bora Uçar, Kishore Kothapalli, Mahantesh Halappanavar, Kamesh Madduri, Madhu Govindaraju, Yinglong Xia, Sushil K. Prasad, Martina Barnas, Ashish Sureka, Pankesh Patel, Vikas Saxena, Sanjay Goel
2016	—	`ed.`	2016 IEEE International Conference on Big Data (IEEE BigData 2016), Washington DC, USA, December 5-8, 2016 IEEE BigData James Joshi, George Karypis, Ling Liu, Xiaohua Hu, Ronay Ak, Yinglong Xia, Weijia Xu, Aki-Hiro Sato, Sudarsan Rachuri, Lyle H. Ungar, Philip S. Yu, Rama Govindaraju, Toyotaro Suzumura
2016	B	`conf`	An analysis of student behavior in two massive open online courses. ASONAM James Schaffer, Brandon Huynh, John O'Donovan, Tobias Höllerer, Yinglong Xia, W. Sabrina Lin
2016	—	`conf`	An edge-set based large scale graph processing system. IEEE BigData Li Zhou, Yinglong Xia, Hui Zang, Jian Xu, Mingzhen Xia
2016	J	`jnl`	LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms. Proc. VLDB Endow. Alexandru Iosup, Tim Hegeman, Wing Lung Ngai, Stijn Heldens, Arnau Prat-Pérez, Thomas Manhardt, Hassan Chafi, Mihai Capota, Narayanan Sundaram, Michael J. Anderson, Ilie Gabriel Tanase, Yinglong Xia, Lifeng Nai, Peter Boncz
2016	—	`conf`	ParLearning Introduction and Committees. IPDPS Workshops Charalampos Chelmis, Sutanay Choudhury, Arindam Pal, Anand V. Panangadan, Weiqin Tong, Yinglong Xia
2016	J	`jnl`	Uncovering insider threats from the digital footprints of individuals. IBM J. Res. Dev. Anni Coden, W. Sabrina Lin, Keith Houck, Michael A. Tanenblatt, Jeff Boston, Julie MacNaught, Danny Soroker, Justin D. Weisz, Shimei Pan, Jui-Hsin Lai, Jie Lu, Steve Wood, Yinglong Xia, Ching-Yung Lin
2015	—	`conf`	Accelerating Minimum Spanning Forest Computations on Multicore Platforms. Euro-Par Workshops Guojing Cong, Ilie Gabriel Tanase, Yinglong Xia
2015	C	`conf`	Efficient Multi-training Framework of Image Deep Learning on GPU Cluster. ISM Chun-Fu (Richard) Chen, Gwo Giun Chris Lee, Yinglong Xia, W. Sabrina Lin, Toyotaro Suzumura, Ching-Yung Lin
2015	A	`conf`	GraphBIG: understanding graph computing in the context of industrial solutions. SC Lifeng Nai, Yinglong Xia, Ilie Gabriel Tanase, Hyesoon Kim, Ching-Yung Lin
2015	—	`conf`	IBM system G Social Media Solution: Analyze multimedia content, people, and network dynamics in context. ICME Workshops Ching-Yung Lin, Danny L. Yeh, Nan Cao, Jui-Hsin Lai, Chun-Fu (Richard) Chen, Conglei Shi, Jie Lu, Jason Crawford, Keith Houck, Yinglong Xia, Wan-Yi Sabrina Lin, Richard B. Hull, Fenno F. Terry Heath III, Piyawadee Sukaviriya, SweeFen Goh
2015	—	`conf`	ParLearning Introduction and Committees. IPDPS Workshops Sutanay Choudhury, Arindam Pal, Anand V. Panangadan, Yinglong Xia
2015	—	`conf`	Prototyping A Web-based High-Performance Visual Analytics Platform for Origin-Destination Data: A Case study of NYC Taxi Trip Records. UrbanGIS@SIGSPATIAL Jianting Zhang, Simin You, Yinglong Xia
2015	—	`conf`	Reconfigurable filter bank design via principal component analysis and low rank approximation. GlobalSIP Chun-Hsi Huang, Gwo Giun Chris Lee, Chun-Fu (Richard) Chen, Yinglong Xia, Ching-Yung Lin
2015	—	`conf`	SparkBench - A Spark Performance Testing Suite. TPCTC Dakshi Agrawal, Ali Raza Butt, Kshitij A. Doshi, Josep Lluís Larriba-Pey, Min Li, Frederick R. Reiss, Francois Raab, Berni Schiefer, Toyotaro Suzumura, Yinglong Xia
2015	A	`conf`	Towards Balance-Affinity Tradeoff in Concurrent Subgraph Traversals. IPDPS Yinglong Xia, Lifeng Nai, Jui-Hsin Lai
2014	—	`conf`	A Highly Efficient Runtime and Graph Library for Large-Scale Graph Analytics. GRADES Ilie Gabriel Tanase, Yinglong Xia, Lifeng Nai, Yanbin Liu, Wei Tan, Jason Crawford, Ching-Yung Lin
2014	—	`conf`	Cache-conscious graph collaborative filtering on multi-socket multicore systems. Conf. Computing Frontiers Lifeng Nai, Yinglong Xia, Ching-Yung Lin, Bo Hong, Hsien-Hsin S. Lee
2014	—	`conf`	Concurrent image query using local random walk with restart on large scale graphs. ICME Workshops Yinglong Xia, Jui-Hsin Lai, Lifeng Nai, Ching-Yung Lin
2014	J	`jnl`	Data Parallel Implementation of Belief Propagation in Factor Graphs on Multi-core Platforms. Int. J. Parallel Program. Nam Ma, Yinglong Xia, Viktor K. Prasanna
2014	—	`conf`	Graph analytics and storage. IEEE BigData Yinglong Xia, Ilie Gabriel Tanase, Lifeng Nai, Wei Tan, Yanbin Liu, Jason Crawford, Ching-Yung Lin
2014	—	`conf`	ParLearning Introduction and Committees. IPDPS Workshops Abhinav Vishnu, Yinglong Xia
2014	—	`conf`	Wait-Free Primitives for Initializing Bayesian Network Structure Learning on Multicore Processors. IPDPS Workshops Hsuan-Yi Chu, Yinglong Xia, Anand V. Panangadan, Viktor K. Prasanna
2013	—	`conf`	PDSEC Introduction. IPDPS Workshops Peter Strazdins, Neal Naixue Xiong, Thomas Rauber, Yinglong Xia, Laurence T. Yang, Gudula Rünger
2013	—	`conf`	ParLearning Introduction. IPDPS Workshops Sutanay Choudhury, George Chin Jr., Yinglong Xia
2012	J	`jnl`	Distributed Evidence Propagation in Junction Trees on Clusters. IEEE Trans. Parallel Distributed Syst. Yinglong Xia, Viktor K. Prasanna
2012	J	`jnl`	Fast Graph Construction Using Auction Algorithm CoRR Jun Wang, Yinglong Xia
2012	A	`conf`	Fast Graph Construction Using Auction Algorithm. UAI Jun Wang, Yinglong Xia
2012	—	`conf`	ParLearning Introduction. IPDPS Workshops Sutanay Choudhury, George Chin Jr., Yinglong Xia
2012	C	`conf`	Parallel Exact Inference on Multicore Using MapReduce. SBAC-PAD Nam Ma, Yinglong Xia, Viktor K. Prasanna
2012	—	`conf`	Task Parallel Implementation of Belief Propagation in Factor Graphs. IPDPS Workshops Nam Ma, Yinglong Xia, Viktor K. Prasanna
2011	C	`conf`	Data Parallelism for Belief Propagation in Factor Graphs. SBAC-PAD Nam Ma, Yinglong Xia, Viktor K. Prasanna
2011	—	`conf`	Exploring Weak Dependencies in DAG Scheduling. IPDPS Workshops Nam Ma, Yinglong Xia, Viktor K. Prasanna
2011	J	`jnl`	Parallel evidence propagation on multicore processors. J. Supercomput. Yinglong Xia, Viktor K. Prasanna
2011	—	`conf`	Self-Adaptive Evidence Propagation on Manycore Processors. IPDPS Workshops Yinglong Xia, Viktor K. Prasanna
2010	—	`conf`	A message-passing multi-softcore architecture on FPGA for Breadth-first Search. FPT Qingbo Wang, Weirong Jiang, Yinglong Xia, Viktor K. Prasanna
2010	—	`conf`	Collaborative scheduling of DAG structured computations on multicore processors. Conf. Computing Frontiers Yinglong Xia, Viktor K. Prasanna
2010	C	`conf`	Distributed Evidence Propagation in Junction Trees. SBAC-PAD Yinglong Xia, Viktor K. Prasanna
2010	C	`conf`	Hierarchical Scheduling of DAG Structured Computations on Manycore Processors with Dynamic Thread Grouping. JSSPP Yinglong Xia, Viktor K. Prasanna, James Li
2010	B	`conf`	Parallel Exact Inference on a CPU-GPGPU Heterogenous System. ICPP Hyeran Jeon, Yinglong Xia, Viktor K. Prasanna
2010	J	`jnl`	Parallel exact inference on the Cell Broadband Engine processor. J. Parallel Distributed Comput. Yinglong Xia, Viktor K. Prasanna
2010	J	`jnl`	Scalable Node-Level Computation Kernels for Parallel Exact Inference. IEEE Trans. Computers Yinglong Xia, Viktor K. Prasanna
2009	B	`conf`	Parallel Evidence Propagation on Multicore Processors. PaCT Yinglong Xia, Xiaojun Feng, Viktor K. Prasanna
2008	A	`conf`	Junction tree decomposition for parallel exact inference. IPDPS Yinglong Xia, Viktor K. Prasanna
2008	A	`conf`	Parallel exact inference on the cell broadband engine processor. SC Yinglong Xia, Viktor K. Prasanna
2007	C	`conf`	Node Level Primitives for Parallel Exact Inference. SBAC-PAD Yinglong Xia, Viktor K. Prasanna
2007	—	`conf`	Parallel Exact Inference. PARCO Yinglong Xia, Viktor K. Prasanna
2005	—	`conf`	Fault-Tolerant EM Algorithm for GMM in Sensor Networks. DMIN Yinglong Xia, Changshui Zhang, Shifeng Weng, Rongbin Liu
2005	—	`conf`	Importance Feature Sampling in Random Subspace. VISION Rongbin Liu, Changshui Zhang, Yinglong Xia
2005	—	`conf`	Mixture Random Effect Model Based Meta-analysis for Medical Data Mining. MLDM Yinglong Xia, Shifeng Weng, Changshui Zhang, Shao Li
2005	—	`conf`	Type II Topological Logic C FSKD (1) Yalin Zheng, Changshui Zhang, Yinglong Xia