Full Publication List

Please refer to our Github for the code repositories.

2023

  1. Generalizing Graph ODE for Learning Complex System Dynamics across Environments
    Zijie Huang, Yizhou Sun, Wei Wang, in Proc. of 2023 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD’23) Long Beach, CA, Aug. 2023. [PDF]

  2. CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems
    Song Jiang, Zijie Huang, Xiao Luo, Yizhou Sun, in Proc. of 2023 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD’23) Long Beach, CA, Aug. 2023. [PDF]

  3. Introducing Semantics into Speech Encoders
    Derek Xu, Shuyan Dong, Changhan Wang, Suyoun Kim, Zhaojiang Lin, Akshat Shrivastava, Shang-Wen Li, Liang-Hsuan Tseng, Alexei Baevski, Guan-Ting Lin, Hung-yi Lee, Yizhou Sun, Wei Wang, in Proc. of The 2023 Annual Meeting of the Association for Computational Linguistics (ACL'23) Toronto, Canada, Jul. 2023. [PDF]

  4. Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog
    Kewei Cheng, Xian Li, Zhengyang Wang, Chenwei Zhang, Binxuan Huang, Yifan Ethan Xu, Xin Luna Dong and Yizhou Sun, in Proc. of The 2023 Annual Meeting of the Association for Computational Linguistics (ACL'23 Industry Track) Toronto, Canada, Jul. 2023. [PDF]

  5. Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs
    Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun and Wei Wang, in Findings of The 2023 Annual Meeting of the Association for Computational Linguistics (ACL'23 Findings) Toronto, Canada, Jul. 2023. [PDF]

  6. Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs
    Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun and Wei Wang, in Proc. of The 2023 Annual Meeting of the Association for Computational Linguistics (ACL’23) Toronto, Canada, Jul. 2023. [PDF]

  7. HOPE: High-order Graph ODE For Modeling Interacting Dynamics
    Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun, in Proc. of Fortieth International Conference on Machine Learning (ICML'23) Honolulu, HI, Jul. 2023. [PDF]

  8. Detecting Political Biases of Named Entities and Hashtags on Twitter. EPJ Data Science
    Zhiping Xiao, Jeffery Zhu, Yining Wang, Pei Zhou, Wen Hong Lam, Mason A. Porter, Yizhou Sun EPJ Data Science[PDF]

  9. REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory
    Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi, in Proc. of 2023 Conference on Computer Vision and Pattern Recognition (CVPR'23) Vancouver, Canada, Jun. 2023. [PDF]

  10. Searching For Spin Glass Ground States Through Deep Reinforcement Learning
    Changjun Fan, Mutian Shen, Zohar Nussinov, Zhong Liu, Yizhou Sun, Yang-Yu Liu, Nature Communications [PDF]

  11. PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction
    Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos and Yizhou Sun, in Proc. of The Web Conf. 2023 (WWW’23), Austin, TX, Apr. 2023. [PDF][CODE]

  12. A Vector Is Not Enough: Taxonomy Expansion via Box Embeddings
    Song Jiang, Qiyue Yao, Qifan Wang and Yizhou Sun, in Proc. of The Web Conf. 2023 (WWW’23) , Best Student Paper Award Austin, TX, Apr. 2023. [PDF][CODE]

  13. Code Recommendation for Open Source Software Developers
    Yiqiao Jin, Yunsheng Bai, Yanqiao Zhu, Yizhou Sun and Wei Wang, in Proc. of The Web Conf. 2023 (WWW’23), Austin, TX, Apr. 2023. [PDF][CODE]

  14. Question-Answer Sentence Graph for Joint Modeling Answer Selection
    Roshni G. Iyer, Thuy Vu, Alessandro Moschitti and Yizhou Sun, in Proc. of 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL'23), Dubrovnik, Croatia, May. 2023. [PDF]

  15. Neural Compositional Rule Learning for Knowledge Graph Reasoning
    Kewei Cheng, Nesreen Ahmed, Yizhou Sun, in Proc. of 2023 Int. Conf. on Learning Representations (ICLR’23), Kigali, Rwanda, May. 2023. [PDF][CODE]

  16. Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes
    Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie, in Proc. of the 37th AAAI Conf. on Artificial Intelligence (AAAI'23), Washington, DC, Feb. 2023. [PDF]

2022

  1. Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering
    Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang and Yizhou Sun, in Proc. of 2022 Conf. on Empirical Methods in Natural Language Processing (EMNLP'22), Abu Dhabi, UAE, Dec. 2022. [PDF]

  2. On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs
    Arjun Subramonian, Kai-Wei Chang, Yizhou Sun, in Proc. of Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS'22), New Orleans, LA, Nov. 2022. [PDF]

  3. Explaining Graph Neural Networks with Structure-Aware Cooperative Games
    Shichang Zhang, Neil Shah, Yozen Liu, Yizhou Sun, in Proc. of Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS'22), New Orleans, LA, Nov. 2022. [PDF]

  4. Improving Multi-Task Generalization via Regularizing Spurious Correlation
    Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed H. Chi, in Proc. of Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS'22), New Orleans, LA, Nov. 2022. [PDF]

  5. Schema-Guided Event Graph Completion
    Hongwei Wang, Zixuan Zhang, Sha Li, Jiawei Han, Yizhou Sun, Hanghang Tong, Joseph Olive, Heng Ji, in Proc. of 4th Conference on Automated Knowledge Base Construction (AKBC'22), London, UK, Nov. 2022. [PDF]

  6. Heterogeneous Information Networks: the Past, the Present, and the Future
    Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu, Tianyi Wu, in Proc. of VLDB Endow 15(12): 3807-3811 (2022)(VLDB'22) [PDF]

  7. Estimating Causal Effects on Networked Observational Data via Representation Learning
    Song Jiang, Yizhou Sun, in Proc. of 31st ACM International Conference on Information and Knowledge Management (CIKM'22), Atlanta, GA, Oct. 2022. [PDF][CODE]

  8. Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting
    Song Jiang, Tahin Syed, Xuan Zhu, Joshua Levy, Boris Aronchik, Yizhou Sun, in Proc. of 31st ACM International Conference on Information and Knowledge Management (CIKM'22), Atlanta, GA, Oct. 2022. [CODE]

  9. Multi-source Inductive Knowledge Graph Transfer
    Junheng Hao, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Junghwan Rhee, Zhichun Li and Wei Wang in Proc. of Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD'22), Grenoble, France, Sept. 2022. [PDF]

  10. RLogic: Recursive Logical Rule Learning from Knowledge Graphs
    Kewei Cheng, Jiahao Liu, Wei Wang, Yizhou Sun, in Proc. of 2022 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD’22), Washington, DC, Aug. 2022. [PDF]

  11. Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs
    Roshni G. Iyer, Yusheng Bai, Wei Wang, Yizhou Sun, n Proc. of 2022 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD’22), Washington, DC, Aug. 2022. [PDF]

  12. Improving GNN-Based Accelerator Design Automation with Meta Learning
    Yunsheng Bai, Atefeh Sohrabizadeh, Yizhou Sun, and Jason Cong, in Proc. of 59th ACM/IEEE Design Automation Conference (DAC'22), San Francisco, July 2022. [PDF]

  13. Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks
    Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, and Jason Cong, in Proc. of 59th ACM/IEEE Design Automation Conference (DAC'22), San Francisco, July 2022. [PDF]

  14. Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment
    Zijie Huang, Zheng li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, and Wei Wang, in Proc. of The 2022 Annual Meeting of the Association for Computational Linguistics (ACL’22), Dublin, Ireland, May 2022. [PDF] [CODE]

  15. Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation
    Shichang Zhang, Yozen Liu, Yizhou Sun, and Neil Shah, in Proc. of 2022 Int. Conf. on Learning Representations (ICLR’22), Online, April 2022. [PDF] [CODE]

  16. PGE: Product Graph Embedding Learning for Error Detection
    Kewei Cheng, Xian Li, Yifan Xu, Xin Dong, and Yizhou Sun, PVLDB also Proc. of 48th International Conference on Very Large Data Bases (VLDB'22), Sydney, Australia, Sept. 2022. [PDF]

  17. Fuzzy Logic Based Logical Query Answering on Knowledge Graphs
    Xuelu Chen, Ziniu Hu, Yizhou Sun, in Proc. of the 36th AAAI Conf. on Artificial Intelligence (AAAI'22), Online, Sept. 2022. [PDF] [CODE]

  18. Unsupervised Adversarially-Robust Representation Learning on Graphs
    Jiarong Xu, Yang Yang, Junru Chen, Chunping Wang, Xin Jiang, Jiangang Lu, Yizhou Sun, in Proc. of the 36th AAAI Conf. on Artificial Intelligence (AAAI'22), Online, Sept. 2022. [PDF] [CODE]

  19. Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs
    Jiarong Xu, Yang Yang, Junru Chen, Chunping Wang, Xin Jiang, Jiangang Lu, Yizhou Sun, in Proc. of the 36th AAAI Conf. on Artificial Intelligence (AAAI'22), Online, Sept. 2022. [PDF][CODE]

  20. Towards Fine-Grained Reasoning for Fake News Detection
    Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie, in Proc. of the 36th AAAI Conf. on Artificial Intelligence (AAAI'22), Online, Sept. 2022. [PDF]

  21. GRU4RecBE: A Hybrid Session-Based Movie Recommendation System
    Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie, in Proc. of the 36th AAAI Conf. on Artificial Intelligence (AAAI'22) Student Abstract Track, Online, Sept. 2022. [PDF]

2021

  1. Bi-Level Attention Graph Neural Networks
    Roshni Iyer, Wei Wang, and Yizhou Sun, in Proc. 2021 IEEE Int. Conf. on Data Mining (ICDM'21), online, Dec. 2021. [PDF]

  2. UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference
    Kewei Cheng, Ziqing Yang, Ming Zhang, and Yizhou Sun, in Proc. 2021 Conf. on Empirical Methods in Natural Language Processing (EMNLP'21), online, Nov. 2021. [PDF][CODE]

  3. Relation-Guided Pre-Training for Open-Domain Question Answering
    Ziniu Hu, Yizhou Sun, Kai-Wei Chang, in Findings. 2021 Conf. on Empirical Methods in Natural Language Processing (EMNLP'21 Findings), online, Nov. 2021. [PDF]

  4. Coupled Graph ODE for Learning Interacting System Dynamics
    Zijie Huang, Yizhou Sun, and Wei Wang, in Proc. of 2021 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'21), online, Aug. 2021. [PDF][CODE]

  5. MEDTO: Medical Data to Ontology Matching Using Hybrid Graph Neural Networks
    Junheng Hao, Chuan Lei, Vasilis Efthymiou, Abdul Quamar, Fatma Ozcan, Yizhou Sun, and Wei Wang, in Proc. of 2021 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'21), online, Aug. 2021. [PDF]

  6. GLSearch: Maximum Common Subgraph Detection via Learning to Search
    Yunsheng Bai*, Derek Xu*, Yizhou Sun, and Wei Wang, in Proc. of Thirty-eighth International Conference on Machine Learning (ICML'21), online, Jul. 2021. [PDF][CODE]

  7. Mining Fraudsters and Fraudulent Strategies in Large-Scale Mobile Social Networks
    IEEE Trans. Knowl. Data Eng (TKDE), 2021. [PDF]

  8. CREATe: Clinical Report Extraction and Annotation Technology
    Yichao Zhou, Wei-Ting Chen, Bowen Zhang, David Lee, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, and Wei Wang, IEEE 37rd International Conf. on Data Eng. (ICDE'21), Demo Track, online, Apr. 2021. [PDF]

  9. Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks
    Xiang Li, Danhao Ding, Ben Kao, Yizhou Sun, and Nikos Mamoulis, IEEE 37rd International Conf. on Data Eng. (ICDE'21), online, Apr. 2021. [PDF]

  10. HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding
    Song Jiang, Bernard Koch, Yizhou Sun, in Proc. of The Web Conf. 2021 (WWW’21), online, Apr. 2021. [PDF][CODE]

  11. Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference
    Yichao Zhou, Yu Yan, Rujun Han, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, and Wei Wang, in Proc. of the 35th AAAI Conf. on Artificial Intelligence (AAAI'21), online, Feb. 2021. [PDF]

2020

  1. Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark
    Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun and Jiawei Han, in IEEE Transactions on Knowledge and Data Engineering (TKDE), Dec. 2020. [PDF]

  2. Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations
    Zijie Huang, Yizhou Sun, Wei Wang, in Thirty-fourth Conf. on Neural Information Processing Systems (NeurIPS'20), online, Dec. 2020. [PDF][CODE]

  3. "Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning
    Tianxin Wei, Ziwei Wu, Ruirui Li, Ziniu Hu, Fuli Feng, Xiangnan He, Yizhou Sun, and Wei Wang, in Proc. 2020 IEEE Int. Conf. on Data Mining (ICDM'20), online, Nov. 2020. [PDF]

  4. Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer
    Xuelu Chen, Muhao Chen, Changjun Fan, Ankith Uppunda, Yizhou Sun, Carlo Zaniolo, in 2020 Conf. on Empirical Methods in Natural Language Processing (Findings of EMNLP - 2020), online, Nov. 2021. [PDF][CODE]

  5. P-Companion: A Principled Framework for Diversified Complementary Product Recommendation
    Junheng Hao, Tong Zhao, Jin Li, Xin Luna Dong, Christos Faloutsos, Yizhou Sun and Wei Wang, In the 29th ACM Intl. Conf. on Information and Knowledge Management (CIKM'20), online, Oct. 2020. [PDF]

  6. Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases
    Junheng Hao, Chelsea J.-T. Ju, Muhao Chen, Yizhou Sun, Carlo Zaniolo and Wei Wang, In the 11th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (BCB'20), Best Student Paper Award, online, Sept. 2020. [PDF]

  7. Differentiable Product Quantization for End-to-End Embedding Compression
    Ting Chen, Lala Li, Yizhou Sun, in Proc. of Thirty-seventh International Conference on Machine Learning (ICML'20), online, Jul. 2020. [PDF]

  8. GPT-GNN: Generative Pre-Training of Graph Neural Networks
    Ziniu Hu, Yuxiao Dong, Kuansan Wang, Kai-Wei Chang, Yizhou Sun, in Proc. of 2020 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD’20), online, Aug. 2020. [PDF][CODE]

  9. GHashing: Semantic Graph Hashing for Approximate Similarity Search in Graph Databases
    Zongyue Qin, Yunsheng Bai and Yizhou Sun, in Proc. of 2020 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD’20), online, Aug. 2020. [PDF][CODE]

  10. TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding
    Zhiping Xiao, Weiping Song, Haoyan Xu, Zhicheng Ren and Yizhou Sun, in Proc. of 2020 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD’20), online, Aug. 2020. [PDF][CODE]

  11. Heterogeneous Network Representation Learning
    Yuxiao Dong, Ziniu Hu, Kuansan Wang, Yizhou Sun, Jie Tang, in Proc. of 2020 Int. Joint Conf. on Artificial Intelligence and Pacific Rim Int. Conf. on Artificial Intelligence (IJCAI-PRICAI’20), online, Jul. 2020. [PDF]

  12. Finding key players in complex networks through deep reinforcement learning
    Changjun Fan, Zeng Li, Yizhou Sun*, Yang-Yu Liu*, Nature Machine Intelligence, 2020. [PDF][CODE]

  13. Heterogeneous Graph Transformer
    Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun, in Proc. 2020 Int. World Wide Web Conf. (WWW’20), online, Apr. 2020. [PDF][CODE (PyG)][CODE (DGL)]

  14. Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching
    Yunsheng Bai*, Hao Ding*, Yizhou Sun, and Wei Wang, in Proc. of the 34rd AAAI Conference on Artificial Intelligence (AAAI '20), New York City, New York, Feb. 2020. [PDF][CODE]

2019

  1. Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks
    Difan Zou*, Ziniu Hu*, Yewen Wang, Song Jiang, Yizhou Sun, and Quanquan Gu, Thirty-third Conf. on Neural Information Processing Systems (NeurIPS'19), Vancouver, Dec. 2019. [PDF][CODE]

  2. Recurrent meta-structure for robust similarity measure in heterogeneous information networks
    Yu Zhou, Jianbin Huang, Heli Sun, Yizhou Sun, Shaojie Qiao, Stephen Wambura, ACM Transactions on Knowledge Discovery from Data (TKDD), Dec. 2019 [PDF]

  3. Abstract cost models for distributed data-intensive computations
    Rundong Li, Ningfang Mi, Mirek Riedewald, Yizhou Sun, and Yi Yao, Distributed and Parallel Databases, Sept. 2019. [PDF]

  4. Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network
    Changjun Fan, Li Zeng, Yuhui Ding, Muhao Chen, Yizhou Sun and Zhong Liu, ,Proc. 2019 ACM Int. Conf. on Information and Knowledge Management (CIKM’19), Beijing, China, Nov. 2019. [PDF][CODE]

  5. Understanding Default Behavior in Peer-to-Peer Lending
    Yang Yang, Yuhong Xu, Chunping Wang, Yizhou Sun, Fei Wu, Yueting Zhuang and Ming Gu, Proc. 2019 ACM Int. Conf. on Information and Knowledge Management (CIKM’19), Beijing, China, Nov. 2019. [PDF]

  6. How Do Influencers Mention Brands in Social Media? Sponsorship Prediction of Instagram Posts
    Xiao Yang, Seungbae Kim and Yizhou Sun, Proc. 2019 IEEE/ACM Int. Conf. on Advances in Social Networks Analysis and Mining (ASONAM'19), Vancouver, Canada, Aug. 2019. [PDF]

  7. Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity
    Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, and Wei Wang, Proc. of 2019 Int. Joint Conf. on Artificial Intelligence (IJCAI'19), Macao, China, Aug. 2019. [PDF][CODE]

  8. Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts
    Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, and Wei Wang, Proc. of 25th Int. ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (KDD'19) (Oral Presentation), Anchorage, AK, Aug. 2019. [PDF][CODE]

  9. Few-Shot Representation Learning for Out-Of-Vocabulary Words
    Ziniu Hu, Ting Chen, Kai-Wei Chang, and Yizhou Sun, Proc. of 57th Annual Meeting of the Association for Computational Linguistics (ACL'19) , Florence, Italy, July 2019. [PDF][CODE]

  10. Embedding Uncertain Knowledge Graphs
    Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo, Proc. of The 33rd AAAI Conference on Artificial Intelligence (AAAI '19) , Honolulu, Hawaii, Jan. 2019. [PDF][CODE]

  11. Personalized Question Routing via Heterogeneous Network Embedding
    Zeyu Li, Jyun-Yu Jiang, Yizhou Sun and Wei Wang Proc. of The 33rd AAAI Conference on Artificial Intelligence (AAAI '19), Honolulu, Hawaii, Jan. 2019. [PDF]

  12. SimGNN: A Neural Network Approach to Fast Graph Similarity Computation
    Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang, Proc. 2019 ACM Int. Conf. on Web Search and Data Mining (WSDM'19), Melbourne, Australia, Feb. 2019. [PDF][CODE]

2018

  1. Convolutional Set Matching for Graph Similarity
    Yunsheng Bai, Hao Ding, Yizhou Sun, Wei Wang, NIPS workshop on Relational Representation Learning, Montreal, Canada, Dec. 2018. [PDF]

  2. HeteroMed: Heterogeneous Information Network for Medical Diagnosis
    Anahita Hosseini, Ting Chen, Wenjun Wu, Yizhou Sun, Majid Sarrafzadeh, Proc. of 2018 ACM Int. Conf. on Information and Knowledge Management (CIKM'18), Turin, Italy, Oct. 2018. [PDF]

  3. The art of drafting: a team-oriented hero recommendation system for multiplayer online battle arena games
    Zhengxing Chen, Truong-Huy D Nguyen, Yuyu Xu, Christopher Amato, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr, Proc. of the 12th ACM Conf. on Recommender Systems (RecSys'18), Vancouver, British Columbia, Canada, Oct. 2018. [PDF]

  4. Q-DeckRec: a Fast Deck Recommendation System for Collectible Card Games
    Zhengxing Chen, Christopher Amato, Truong-Huy D. Nguyen, Seth Cooper, Yizhou Sun and Magy Seif El-Nasr, Proc. of the IEEE Conf. on Computational Intelligence and Games (CIG'18), Maastricht University, The Netherlands, Aug. 2018. [PDF]

  5. Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations
    Ting Chen, Martin Renqiang Min, Yizhou Sun, Proc. of the Thirty-fifth Int. Conf. on Machine Learning (ICML'18), Stockholm, Sweden, Jul. 2018. [PDF]

  6. RaRE: Social Rank Regulated Large-scale Network Embedding
    Yupeng Gu, Yizhou Sun, Yanen Li, Yang Yang, Proc. of the 27th Int. Conf. on World Wide Web (WWW’18), Lyon, France, Apr. 2018. [PDF][CODE]

2017

  1. Weakly-Guided User Stance Prediction via Joint Modeling of Content and Social Interaction
    Rui Dong, Yizhou Sun, Lu Wang, Yupeng Gu, Yuan Zhong, Proc. of the 26th ACM Int. Conf. on Information and Knowledge Management (CIKM'17), Singapore, Nov. 2017. [PDF]

  2. Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks
    Chenguang Wang, Yangqiu Song, Haoran Li, Yizhou Sun, Ming Zhang, Jiawei Han, Proc. of the 26th ACM Int. Conf. on Information and Knowledge Management (CIKM'17), Singapore, Nov. 2017. [PDF]

  3. On Sampling Strategies for Neural Network-based Collaborative Filtering
    Ting Chen, Yizhou Sun, Yue Shi, Liangjie Hong, Proc. of 2017 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'17), Halifax, Nova Scotia, Canada, Aug. 2017 [PDF][CODE]

  4. The Co-Evolution Model for Social Network Evolving and Opinion Migration
    Yupeng Gu, Yizhou Sun, Jianxi Gao, Proc. of 2017 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'17), Halifax, Nova Scotia, Canada, Aug. 2017. [PDF][CODE]

  5. Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided RandomWalks
    He Jiang, Yangqiu Song, Chenguang Wang, Ming Zhang, and Yizhou Sun, Proc. of 2017 Int. Joint Conf. on Artificial Intelligence (IJCAI'17), Melborne, Australia, Aug. 2017. [PDF]

  6. A Case for Abstract Cost Models for Distributed Execution of Analytics Operators
    Rundong Li, Ningfang Mi, Mirek Riedewald, Yizhou Sun, and Yi Yao, Proc. of 19th Int. Conf. on Big Data Analytics and Knowledge Discovery (DaWak'17), Lyon, France, Aug. 2017. [PDF]

  7. ST-SAGE: A Spatial-Temporal Sparse Additive Generative Model for Spatial Item Recommendation
    Weiqing Wang, Hongzhi Yin, Ling Chen, Yizhou Sun, Shazia Wasim Sadiq, Xiaofang Zhou, ACM TIST 2017. [PDF]

  8. Recommendation in Context-Rich Environment: An Information Network Analysis Approach
    Yizhou Sun, Hongzhi Yin, Xiang Ren, Proc. of the 26th Int. Conf. on World Wide Web Companion (WWW'17) Conference Tutorial, Perth, Australia, Apr. 2017. [PDF]

  9. EOMM: An Engagement Optimized Matchmaking Framework
    Zhengxing Chen, Su Xue, John Kolen, Navid Aghdaie, Kazi A Zaman, Yizhou Sun, Magy Seif El-Nasr, Proc. of the 26th Int. Conf. on World Wide Web (WWW'17), Perth, Australia, Apr. 2017. [PDF]

  10. Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification
    Ting Chen and Yizhou Sun, Proc. of 2017 ACM Int. Conf. on Web Search and Data Mining (WSDM'17), Cambridge UK, Feb. 2017. [PDF][CODE]

  11. A Survey of Heterogeneous Information Network Analysis
    Chuan Shi, Yitong Li, Jiawei Zhang, Yizhou Sun, and Philip S. Yu, IEEE Trans. Knowl. Data Eng (TKDE). 29(1): 17-37, 2017 [PDF]

2016

  1. Player Skill Decomposition in Multiplayer Online Battle Arenas
    Zhengxing Chen, Yizhou Sun, Magy Seif El-Nasr, and Truong-Huy D. Nguyen, In Int. Academic Conf. on Meaningful Play (Meaningful Play 2016), East Lansing, MI, Oct. 2016. [PDF]

  2. Towards Representation Independent Similarity Search Over Graph Databases
    Yodsawalai Chodpathumwan, Amirhossein Aleyasen, Arash Termehchy, and Yizhou Sun, Proc. of the 25th ACM Int. Conf. on Information and Knowledge Management (CIKM'16), Indianapolis, IN, Oct. 2016. [PDF]

  3. Design of reciprocal recommendation systems for online dating
    Peng Xia, Shuangfei Zhai, Benyuan Liu, Yizhou Sun, Cindy X. Chen, Social Netw. Analys. Mining 6:32, 2016. [PDF]

  4. Meta Structure: Computing Relevance in Large Heterogeneous Information Networks
    Zhipeng Huang, Yudian Zheng, Reynold Cheng, Yizhou Sun, Nikos Mamoulis, and Xiang Li,, Proc. of 2016 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'16), San Francisco, CA, Aug. 2016. [PDF]

  5. Entity Embedding-based Anomaly Detection for Heterogeneous Categorical Events,
    Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang, Proc. 25th Int. Joint Conf. on Artifical Intelligence (IJCAI'16), New York City, USA, Jul. 2016. [PDF]

  6. Cross Social Media Recommendation
    Xiaozhong Liu, Tian Xia, Yingying Yu, Chun Guo, Yizhou Sun, Proc. of the 10th Int. AAAI Conf. on Web and Social Media (ICWSM'16), Cologne, Germany, May 2016. [PDF]

  7. Predicting drug target interactions using meta-path-based semantic network analysis
    Gang Fu, Ying Ding, Abhik Seal, Bin Chen, Yizhou Sun, and Evan Bolton, BMC Bioinformatics 17:160, 2016. [PDF]

  8. WSDM Cup 2016: Entity Ranking Challenge
    Alex D. Wade, Kuansan Wang, Yizhou Sun, and Antonio Gulli, Proc. 2016 ACM Int. Conf. on Web Search and Data Mining (WSDM'16), San Francisco, CA, Feb. 2016. [PDF]

  9. Learning Global Term Weights for Content-based Recommender Systems
    Yupeng Gu, Bo Zhao, David Hardtke, Yizhou Sun,, Proc. of the 25th Int. Conf. on World Wide Web (WWW'16), Montreal, Canada, Apr. 2016. [PDF]

  10. Integrating Community and Role Detection in Information Networks
    Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, and Guofei Jiang, Proc of 2016 SIAM Int. Conf. on Data Mining (SDM'16), Miami, FL, May 2016. [PDF]

  11. RelSim: Relation Similarity Search in Schema-Rich Heterogeneous Information Networks
    Chenguang Wang, Yizhou Sun, Yanglei Song, Jiawei Han, Yangqiu Song, Danli Wang, and Ming Zhang, Proc of 2016 SIAM Int. Conf. on Data Mining (SDM'16), Miami, FL, May 2016. [PDF]

2015

  1. Reciprocal Recommendation System for Online Dating
    Peng Xia, Benyuan Liu, Yizhou Sun, Cindy Chen, Proc. of 2015 Int. Conf. on Advances in Social Network Analysis and Mining (ASONAM'15), Paris, France, Aug. 2015. [PDF]

  2. Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation
    Weiqing Wang, Hongzhi Yin, Ling Chen, Yizhou Sun, Shazia Wasim Sadiq, and Xiaofang Zhou, Proc. of 2015 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'15), Sydney, Australia, Aug. 2015. [PDF]

  3. Entity Matching across Heterogeneous Sources
    Yang Yang, Yizhou Sun, Jie Tang, Bo Ma, Juan-Zi Li, Proc. of 2015 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'15), Sydney, Australia, Aug. 2015. [PDF]

  4. Context-aware Entity Morph Decoding
    Boliang Zhang, Hongzhao Huang, Xiaoman Pan, Sujian Li, Chin-Yew Lin, Heng Ji, Kevin Knight, Zhen Wen, Yizhou Sun, Jiawei Han, and Bulent Yener, Proc. of 53rd Annual Meeting of the Association for Computational Linguistics (ACL'15), Beijing, China, Jul. 2015. [PDF]

  5. Successful Data Mining Methods for NLP
    Jiawei Han, Heng Ji, and Yizhou Sun, Proc. of 53rd Annual Meeting of the Association for Computational Linguistics (ACL'15), Beijing, China, Jul. 2015. (Tutorial) [PDF]

  6. Universal-DB: towards representation independent graph analytics
    Y. Chodpathumwan, A. Aleyasen, A. Termehchy, and Y. Sun, Proceedings of the VLDB Endowment 8 (12), 2016-2019, 2015. (Demo) [PDF]

  7. Are You Satisfied with Life?: Predicting Satisfaction with Life from Facebook
    Susan Collins, Yizhou Sun, Michal Kosinski, David Stillwell, Natasha Markuzon, Proc. of 2015 Int. Conf. on Social Computing, Behavioral-Cultural Modeling, Prediction (SBP'15), Washington DC, Mar. 2015. [PDF]

  8. Clustering and Ranking in Heterogeneous Information Networks via Gamma-Poisson Model
    Junxiang Chen, Wei Dai, Yizhou Sun, and Jennifer Dy, Proc. of the 2015 SIAM Int. Conf. on Data Mining (SDM'15), Vancouver, BC, Canada, Apr. 2015. [PDF]

  9. RAIN: Social Role-Aware Information Diffusion
    Yang Yang, Jie Tang, Cane Wing-Ki Leung, Yizhou Sun, Qicong Chen, Juanzi Li, and Qiang Yang, Proc. of the 29th AAAI Conf. on Artificial Intelligence (AAAI'15), Austin, Texas, USA, Jan 2015. [PDF]

2014

  1. Modeling Topic Diffusion in Multi-Relational Bibliographic Information Networks
    Huan Gui, Yizhou Sun, Jiawei Han, and George Brova, Proc. of 2014 ACM Int. Conf. on Information and Knowledge Management (CIKM'14), Shanghai, China, Nov. 2014. [PDF]

  2. Meta-Path-Based Ranking with Pseudo Relevance Feedback on Heterogeneous Graph for Citation Recommendation
    Xiaozhong Liu, Yingying Yu, Chun Guo, and Yizhou Sun, Proc. of 2014 ACM Int. Conf. on Information and Knowledge Management (CIKM'14), Shanghai, China, Nov. 2014. [PDF]

  3. Full-Text based Context-Rich Heterogeneous Network Mining Approach for Citation Recommendation
    Xiaozhong Liu, Yingying Yu, Chun Guo, Yizhou Sun, and Liangcai Gao, ACM/IEEE Joint Conference on Digital Libraries (JCDL’14), London, 2014. [PDF]

  4. Topic-Factorized Ideal Point Estimation Model for Legislative Voting Network
    Yupeng Gu, Yizhou Sun, Ning Jiang, Bingyu Wang, Ting Chen, Proc. of 2014 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD’14), New York, NY, Aug. 2014. [PDF][CODE]

  5. Open educational resource based information understanding via pdf document interaction
    Xiaozhong Liu, Liangcai Gao, Noriko Hara, and Yizhou Sun, Proc. of the 2014 ACM Conf. on Web Science (WebSci’14), pages 291–292, Bloomington, IN, USA, 2014. [PDF]

  6. Be Appropriate and Funny: Automatic Entity Morph Encoding
    Boliang Zhang, Hongzhao Huang, Xiaoman Pan, Heng Ji, Kevin Knight, Zhen Wen, Yizhou Sun, Jiawei Han and Bulent Yener, Proc. of 2014 Annual Meeting of the Association for Computational Linguistics (ACL'14), Baltimore, MD, Jun 2014. [PDF]

  7. Toward Representation Independent Similarity Search Over Graphs
    Y. Chodpathumwan, A. Termehchy, Yizhou Sun, A. Aleyasin, and J. Picado, ACM Proceedings of Workshop on GRAph Data management Experiences and Systems (GRADES 2014), Snowbird, UT, Jun 2014. [PDF]

  8. NewsNetExplorer: Automatic Construction and Exploration of News Information Networks
    Fangbo Tao, Jiawei Han, Heng Ji, George Brova,Chi Wang, Ahmed El-Kishky, Jialu Liu, Xiang Ren, Yizhou Sun, Proc. of 2014 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'14) System Demo, Snowbird, UT, Jun 2014. [PDF]

  9. Personalized Entity Recommendation: A Heterogeneous Information Network Approach
    Xiao Yu, Xiang Ren, Yizhou Sun, Quanquan Gu, Bradley Sturt, Urvashi Khandelwal, Brandon Norick, and Jiawei HanProc. 2014 ACM Int. Conf. on Web Search and Data Mining (WSDM'14), New York City, NY, Feb. 2014. [PDF]

2013

  1. Semantic Frame-Based Document Representation for Comparable Corpora
    Hyungsul Kim, Xiang Ren, Yizhou Sun, Chi Wang, and Jiawei Han, Proc. 2013 IEEE Int. Conf.on Data Mining (ICDM'13), Dallas, TX, Dec. 2013. [PDF]

  2. HeteRec: Entity Recommendation in Heterogeneous Information Networks with Implicit User Feedback
    Xiao Yu, Xiang Ren, Yizhou Sun, Bradley Sturt, Urvashi Khandelwal, Quanquan Gu, Brandon Norick, and Jiawei Han, Proc. of 2013 ACM Int. Conf. Series on Recommendation Systems (RecSys'13), Hong Kong Oct. 2013. [PDF]

  3. PathSelClus: Integrating Meta-Path Selection with User-Guided Object Clustering in Heterogeneous Information Networks
    Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan, Philip S. Yu, and Xiao Yu, ACM Transactions on Knowledge Discovery from Data (TKDD), 7(3):11:1-11:23, Sep. 2013. [PDF]

  4. Meta-path-based search and mining in heterogeneous information networks
    Yizhou Sun and Jiawei Han, IEEE Tsinghua Science and Technology, 18(4): 329-338, Aug. 2013. Best Paper Award [PDF]

  5. Co-Evolution of Multi-Typed Objects in Dynamic Heterogeneous Information Networks
    Yizhou Sun, Jie Tang, Jiawei Han, Cheng Chen, and Manish Gupta, IEEE Trans. on Knowledge and Data Engineering (TKDE), June 2013. [PDF]

  6. LCARS: A Local-Content-Aware Recommender System
    Hongzhi Yin, Yizhou Sun, Bin Cui, Zhiting Hu, and Ling Chen, Proc. of 2013 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD’13), Chicago, IL, Aug. 2013. [PDF]

  7. Resolving Entity Morphs in Censored Data
    Hongzhao Huang, Zhen Wen, Dian Yu, Heng Ji, Yizhou Sun, Jiawei Han and He Li, Proc. of 2013 Annual Meeting of the Association for Computational Linguistics (ACL'13), Sofia, Bulgaria, Aug. 2013. [PDF]

  8. Collaborative Filtering with Entity Similarity Regularization in Heterogeneous Information Networks
    Xiao Yu, Xiang Ren, Quanquan Gu, Yizhou Sun, and Jiawei Han, Proc. of IJCAI-13 HINA workshop (IJCAI-HINA'13), Beijing, China, Aug. 2013. [PDF]

  9. Research-Insight: Providing Insight on Research by Publication Network Analysis
    Fangbo Tao, Xiao Yu, Kin Hou Lei, George Brova, Xiao Cheng Jiawei Han, Rucha Kanade, Yizhou Sun, Chi Wang, Lidan Wang, Tim Weninger, Proc. of 2013 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'13) System demo, New York, NY, June 2013. [PDF]

  10. A Graph-based Consensus Maximization Approach for Combining Multiple Supervised and Unsupervised Models
    Jing Gao, Feng Liang, Wei Fan, Yizhou Sun, and Jiawei Han, IEEE Transactions on Knowledge and Data Engineering (TKDE), 25(1):15-28, 2013. [PDF]

2012

  1. Mining Heterogeneous Information Networks: A Structural Analysis Approach
    Yizhou Sun and Jiawei Han, SIGKDD Explorations, 14(2):20-28, 2012. [PDF]

  2. ETM: Entity Topic Models for Mining Documents Associated with Entities
    Hyungsul Kim, Yizhou Sun, Julia Hockenmaier, and Jiawei Han, Proc. of 2012 IEEE Int. Conf. on Data Mining (ICDM'12), Brussels, Belgium, Dec. 2012 Selected as one of the best papers [PDF]

  3. Predicting Links in Multi-Relational and Heterogeneous Networks
    Yang Yang, Nitesh Chawla, Yizhou Sun, and Jiawei Han, Proc. of 2012 IEEE Int. Conf. on Data Mining (ICDM'12), Brussels, Belgium, Dec. 2012. [PDF]

  4. User Guided Entity Similarity Search Using Meta-Path Selection in Heterogeneous Information Networks
    Xiao Yu, Yizhou Sun, Brandon Norick, Tiancheng Mao, and Jiawei Han, Proc. of 2012 Int. Conf. on Information and Knowledge Management (CIKM'12), Maui, Hawaii, Oct. 2012. [PDF]

  5. Community Trend Outlier Detection Using Soft Temporal Pattern Mining
    Manish Gupta, Jing Gao, Yizhou Sun, and Jiawei Han, Proc. of 2012 European Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD'12), Bristol, UK, Sept. 2012 [PDF]

  6. Mining Knowledge from Interconnected Data: A Heterogeneous Information Network Analysis Approach
    Yizhou Sun, Jiawei Han, Xifeng Yan, and Philip S. Yu, Proc. 2012 Int. Conf. on Very Large Data Bases (VLDB'12/PVLDB), Istanbul, Turkey, Aug. 2012. (conference tutorial) [PDF]

  7. Query-Driven Discovery of Semantically Similar Substructures in Heterogeneous Networks
    Xiao Yu, Yizhou Sun, Peixiang Zhao, Jiawei Han, Proc. of 2012 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'12), Beijing, China, Aug. 2012. (System Demo) [PDF]

  8. Integrating Meta-Path Selection with User-Guided Object Clustering in Heterogeneous Information Networks
    Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan, Philip S. Yu, and Xiao Yu, Proc. 2012 ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (KDD'12), Beijing, China, Aug. 2012. Best Student Paper Award [PDF]

  9. Integrating Community Matching and Outlier Detection for Mining Evolutionary Community Outliers
    Manish Gupta, Jing Gao, Yizhou Sun, and Jiawei Han, Proc. 2012 ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (KDD'12), Beijing, China, Aug. 2012. [PDF]

  10. Relation Strength-Aware Clustering of Heterogeneous Information Networks with Incomplete Attributes
    Yizhou Sun, Charu C. Aggarwal, and Jiawei Han, PVLDB 5(5):394-405, 2012. (Also, Proc. 2012 Int. Conf. on Very Large Data Bases (VLDB'12/PVLDB), Istanbul, Turkey, Aug. 2012.) [PDF]

  11. Mining Knowledge from Data: An Information Network Analysis Approach
    Jiawei Han, Yizhou Sun, Xifeng Yan, and Philip S. Yu, Proc. 2012 IEEE Int. Conf. on Data Engineering (ICDE'12), Arlington, VA, Apr. 2012. (Conference tutorial) [PDF]

  12. Multidimensional Sensor Data Analysi in Cyber-Physical System: An Atypical Approach
    Lu-An Tang, Xiao Yu, Sangkyum Kim, Jiawei Han, Wen-Chih Peng, Yizhou Sun, Alice Leung, and Thomas La Porta, International Journal of Distributed Sensor Networks, Volume 2012. [PDF]

  13. When Will It Happen? --- Relationship Prediction in Heterogeneous Information Networks
    Yizhou Sun, Jiawei Han, Charu C. Aggarwal, and Nitesh V. Chawla, Proc. 2012 ACM Int. Conf. on Web Search and Data Mining (WSDM'12), Seattle, WA, Feb. 2012. [PDF]

  14. Multidimensional Analysis of Atypical Events in Cyber-Physical Data
    Lu-An Tang, Xiao Yu, Sangkyum Kim, Jiawei Han, Wen-Chih Peng, Yizhou Sun, Hector Gonzalez, and Sebastian Seith, Proc. 2012 IEEE Int. Conf. on Data Engineering (ICDE'12), Arlington, VA, Apr. 2012. [PDF]

2011

  1. PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks
    Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu, and Tianyi Wu,PVLDB 4(11): 992-1003, 2011. (Also, Proc. of 2011 Int. Conf. on Very Large Data Bases (VLDB'11/PVLDB), Seattle, WA, Aug. 2011.)[PDF][DBIS data]

  2. Is Objective Function the Silver Bullet? A Case Study of Community Detection Algorithms on Social Networks
    Yang Yang, Yizhou Sun, Saurav Pandit, Nitesh Chawla and Jiawei Han, Proc. of 2011 Int. Conf. on Advances in Social Network Analysis and Mining (ASONAM'11), Kaohsiung, Taiwan, Jul 2011. [PDF]

  3. Co-Author Relationship Prediction in Heterogeneous Bibliographic Networks
    Yizhou Sun, Rick Barber, Manish Gupta, Charu C. Aggarwal and Jiawei Han, Proc. of 2011 Int. Conf. on Advances in Social Network Analysis and Mining (ASONAM'11), Kaohsiung, Taiwan, Jul 2011. [PDF]

  4. Evolutionary Clustering and Analysis of Bibliographic Networks
    Manish Gupta, Charu Aggarwal, Jiawei Han and Yizhou Sun, Proc. of 2011 Int. Conf. on Advances in Social Network Analysis and Mining (ASONAM'11), Kaohsiung, Taiwan, Jul 2011. Best Paper Award, [PDF]

  5. WinaCS: Construction and Analysis of Web-Based Computer Science Information Networks
    Tim Weninger, Marina Danilevsky, Fabio Fumarola, Joshua Hailpern, Jiawei Han, Ming Ji, Thomas J. Johnston, Surya Kallumadi, Hyungsul Kim, Zhijin Li, David McCloskey, Yizhou Sun, Nathan E. TeGrotenhuis, Chi Wang, and Xiao Yu, Proc. 2011 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'2011). System demo paper [PDF]

  6. Apollo: Towards Factfinding in Participatory Sensing
    Hieu Khac Le, J. Pasternack, Hossein Ahmadi, Manish Gupta, Yizhou Sun, Tarek Abdelzaher, Jiawei Han, Dan Roth, Boleslaw K. Szymanski, S. Adali, Proc. ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN'11), Apr. 2011. System demo paper [PDF]

  7. Trust Analysis with Clustering
    Manish Gupta, Yizhou Sun, and Jiawei Han, Proc. of 2011 Int. WorldWide Web Conf. (WWW'11), Hyderabad, India, March 2011 [PDF]

2010

  1. SHRINK: A Structural Clustering Algorithm for Detecting Hierarchical Communities in Networks
    Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, Yizhou Sun, Yaguang Liu, Proc. 2010 ACM Int. Conf. on Information and Knowledge Management (CIKM'10), Toronto, Canada, Oct. 2010, [PDF]

  2. Graph Regularized Transductive Classification on Heterogeneous Information Networks
    Ming Ji, Yizhou Sun, Marina Danilevsky, Jiawei Han, Jing Gao, Proc. 2010 European Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'10), Barcelona, Spain, Sept. 2010. [PDF]

  3. On Community Outliers and Their Efficient Detection in Information Networks
    Jing Gao, Feng Liang, Wei Fan, Chi Wang, Yizhou Sun, Jiawei Han, Proc. 2010 ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (KDD'10), Washington, D.C., July 2010 [PDF]

  4. Community Evolution Detection in Dynamic Heterogeneous Information Networks
    Yizhou Sun, Jie Tang, Jiawei Han, Manish Gupta, and Bo Zhao, Proc. 2010 KDD Workshop on Mining and Learning with Graphs (MLG'10), Washington, D.C., July 2010. [PDF]

  5. Mining Knowledge from Databases: An Information Network Analysis Approach
    Jiawei Han, Yizhou Sun, Xifeng Yan, and Philip S. Yu, Proc. 2010 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'10), Indianapolis, IN, June 2010. Conference tutorial [PDF]

  6. Fast Computation of SimRank for Static and Dynamic Information Network
    Cuiping Li, Jiawei Han, Xin Jin, Yizhou Sun, Yintao Yu, and Tianyi Wu, Proc. 2010 Int. Conf. on Extending Data Base Technology (EDBT'10), Lausanne, Switzerland, Mar 2010 [PDF]

  7. Region-based Online Promotion Analysis
    Tianyi Wu, Yizhou Sun, Cuiping Li, and Jiawei Han, Proc. 2010 Int. Conf. on Extending Data Base Technology (EDBT'10), Lausanne, Switzerland, Mar 2010. [PDF]

2009

  1. iTopicModel: Information Network-Integrated Topic Modeling
    Yizhou Sun, Jiawei Han, Jing Gao, and Yintao Yu, Proc. 2009 Int. Conf. on Data Mining (ICDM'09), Miami, FL, Dec. 2009. [PDF]

  2. Bipartite Graph-based Consensus Maximization among Supervised and Unsupervised Models
    Jing Gao, Feng Liang, Wei Fan, Yizhou Sun, and Jiawei Han, Proc. NIPS 2009 Neural Info. Processing Systems Conf. (NIPS'09), Vancouver, B.C., Canada, Dec. 2009 [PDF]

  3. P-Rank: A Comprehensive Structural Similarity Measure over Information Networks
    Peixiang Zhao, Jiawei Han, Yizhou Sun, Proc. 2009 ACM Conf. on Information and Knowledge Management (CIKM'09), Hong Kong, China, Nov. 2009. [PDF]

  4. iNextCube: Information Network-Enhanced Text Cube
    Yintao Yu, Cindy X. Lin, Yizhou Sun, Chen Chen, Jiawei Han, Binbin Liao, Tianyi Wu, ChengXiang Zhai, Duo Zhang, and Bo Zhao, Proc. 2009 Int. Conf. on Very Large Data Bases (VLDB'09), Lyon, France, Aug. 2009. System demo paper [PDF]

  5. Ranking-Based Clustering of Heterogeneous Information Networks with Star Network Schema
    Yizhou Sun, Yintao Yu, and Jiawei Han, Proc. 2009 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'09), Paris, France, Jun 2009. [PDF]

  6. Heterogeneous Source Consensus Learning via Decision Propagation and Negotiation
    Jing Gao, Wei Fan, Yizhou Sun, and Jiawei Han, Proc. 2009 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'09), Paris, France, Jun 2009. [PDF]

  7. RankClus: Integrating Clustering with Ranking for Heterogeneous Information Network Analysis
    Yizhou Sun, Jiawei Han, Peixiang Zhao, Zhijun Yin, Hong Cheng, and Tianyi Wu, Proc. 2009 Int. Conf. on Extending Data Base Technology (EDBT'09), Saint-Petersburg, Russia, Mar. 2009. [PDF]

2008

  1. Sampling Cube: A Framework for Statistical OLAP over Sampling Data
    Xiaolei Li, Jiawei Han, Zhijun Yin, Jae-Gil Lee, and Yizhou Sun, Proc. 2008 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'08), Vancouver, BC, Canada, June 2008. [PDF]

  2. BibNetMiner: Mining Bibliographic Information Networks
    Yizhou Sun, Tianyi Wu, Zhijun Yin, Hong Cheng, Jiawei Han, Xiaoxin Yin, and Peixiang Zhao, Proc. 2008 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'08), Vancouver, BC, Canada, June 2008. System demo paper, [PDF]

  3. Real-Time Short-Term Traffic Flow Forecasting Based on Process Neural Network
    Shan He, Cheng Hu, Guojie Song, Kunqing Xie, Yizhou Sun, Proc. 5th Int. Symp. on Neural Networks (ISNN'08), Beijing, China, Sept.2008. [PDF]

2007

  1. Causal relation of queries from temporal logs
    Yizhou Sun, Kunqing Xie, Ning Liu, Shuicheng Yan, Benyu Zhang, and Zheng Chen, Proc. 16th Int. Conf. on World Wide Web (WWW'07), Banff, Alberta, Canada, May 2007. [PDF]