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<h1>UCLA Data Mining Lab</h1>
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<h2> Full Publication List</h2>
<p> Please refer to our <a href="https://github.com/UCLA-DM"> Github </a> for the code repositories.
<h3> 2023 </h3>
<ol>
<li>
<p> <a href="">
Generalizing Graph ODE for Learning Complex System Dynamics across Environments
</a>
<br> Zijie Huang, Yizhou Sun, Wei Wang, <i>in Proc. of 2023 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (<b>KDD’23</b>)</i> Long Beach, CA, Aug. 2023. <a href="">[PDF]</a>
</p>
</li>
<li>
<p> <a href="">
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems
</a>
<br> Song Jiang, Zijie Huang, Xiao Luo, Yizhou Sun, <i>in Proc. of 2023 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (<b>KDD’23</b>)</i> Long Beach, CA, Aug. 2023. <a href="">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://arxiv.org/abs/2211.08402">
Introducing Semantics into Speech Encoders
</a>
<br> 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, <i>in Proc. of The 2023 Annual Meeting of the Association for Computational Linguistics (<b>ACL'23</b>)</i> Toronto, Canada, Jul. 2023. <a href="https://arxiv.org/abs/2211.08402">[PDF]</a>
</p>
</li>
<li>
<p> <a href="">
Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog
</a>
<br> Kewei Cheng, Xian Li, Zhengyang Wang, Chenwei Zhang, Binxuan Huang, Yifan Ethan Xu, Xin Luna Dong and Yizhou Sun, <i>in Proc. of The 2023 Annual Meeting of the Association for Computational Linguistics (<b>ACL'23 Industry Track</b>)</i> Toronto, Canada, Jul. 2023. <a href="">[PDF]</a>
</p>
</li>
<li>
<p> <a href="">
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs
</a>
<br> Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun and Wei Wang, <i>in Findings of The 2023 Annual Meeting of the Association for Computational Linguistics (<b>ACL'23 Findings</b>)</i> Toronto, Canada, Jul. 2023. <a href="">[PDF]</a>
</p>
</li>
<li>
<p> <a href="">
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs
</a>
<br> Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun and Wei Wang, <i>in Proc. of The 2023 Annual Meeting of the Association for Computational Linguistics (<b>ACL’23</b>)</i> Toronto, Canada, Jul. 2023. <a href="">[PDF]</a>
</p>
</li>
<li>
<p> <a href="">
HOPE: High-order Graph ODE For Modeling Interacting Dynamics
</a>
<br> Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun, <i>in Proc. of Fortieth International Conference on Machine Learning (<b>ICML'23</b>)</i> Honolulu, HI, Jul. 2023. <a href="">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://arxiv.org/abs/2209.08110">
Detecting Political Biases of Named Entities and Hashtags on Twitter. EPJ Data Science
</a>
<br> Zhiping Xiao, Jeffery Zhu, Yining Wang, Pei Zhou, Wen Hong Lam, Mason A. Porter, Yizhou Sun <i>EPJ Data Science</i><a href="https://arxiv.org/abs/2209.08110">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://arxiv.org/abs/2212.05221">
REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory
</a>
<br> Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi, <i>in Proc. of 2023 Conference on Computer Vision and Pattern Recognition (<b>CVPR'23</b>)</i> Vancouver, Canada, Jun. 2023. <a href="https://arxiv.org/abs/2212.05221">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://www.nature.com/articles/s41467-023-36363-w.epdf?sharing_token=kWL11JRhOmQHol62SYCdFdRgN0jAjWel9jnR3ZoTv0MXzm-EqlQm10ZimQvvmTvIzeVKwOx1FRdeM3HrX_gemWg0bhjREOGwOAr2MzwsPN0y-6mwl2cIRNJgt9UFV7nQKj8BlPvjPQlHhsTMl6Bbbfy_N-EaikikwmgeT66pFks%3D">
Searching For Spin Glass Ground States Through Deep Reinforcement Learning
</a>
<br> Changjun Fan, Mutian Shen, Zohar Nussinov, Zhong Liu, Yizhou Sun, Yang-Yu Liu, <i>Nature Communications </i><a href="https://www.nature.com/articles/s41467-023-36363-w.epdf?sharing_token=kWL11JRhOmQHol62SYCdFdRgN0jAjWel9jnR3ZoTv0MXzm-EqlQm10ZimQvvmTvIzeVKwOx1FRdeM3HrX_gemWg0bhjREOGwOAr2MzwsPN0y-6mwl2cIRNJgt9UFV7nQKj8BlPvjPQlHhsTMl6Bbbfy_N-EaikikwmgeT66pFks%3D">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://arxiv.org/pdf/2302.12465.pdf">
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction
</a>
<br> Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos and Yizhou Sun, <i>in Proc. of The Web Conf. 2023 (<b>WWW’23</b>)</i>, Austin, TX, Apr. 2023. <a href="https://arxiv.org/pdf/2302.12465.pdf">[PDF]</a><a href="https://github.com/amazon-science/page-link-path-based-gnn-explanation">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://dl.acm.org/doi/10.1145/3543507.3583310">
A Vector Is Not Enough: Taxonomy Expansion via Box Embeddings
</a>
<br> Song Jiang, Qiyue Yao, Qifan Wang and Yizhou Sun, <i>in Proc. of The Web Conf. 2023 (<b>WWW’23</b>) </i>, <span style="color:red"> Best Student Paper Award</span> Austin, TX, Apr. 2023. <a href="https://dl.acm.org/doi/10.1145/3543507.3583310">[PDF]</a><a href="https://github.com/songjiang0909/BoxTaxo">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://arxiv.org/abs/2210.08332">
Code Recommendation for Open Source Software Developers
</a>
<br> Yiqiao Jin, Yunsheng Bai, Yanqiao Zhu, Yizhou Sun and Wei Wang, <i>in Proc. of The Web Conf. 2023 (<b>WWW’23</b>)</i>, Austin, TX, Apr. 2023. <a href="https://arxiv.org/abs/2210.08332">[PDF]</a><a href="https://github.com/Ahren09/CODER">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://arxiv.org/abs/2203.03549">
Question-Answer Sentence Graph for Joint Modeling Answer Selection
</a>
<br> Roshni G. Iyer, Thuy Vu, Alessandro Moschitti and Yizhou Sun, <i>in Proc. of 17th Conference of the European Chapter of the Association for Computational Linguistics (<b>EACL'23</b>)</i>, Dubrovnik, Croatia, May. 2023. <a href="https://arxiv.org/abs/2203.03549">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://openreview.net/forum?id=F8VKQyDgRVj">
Neural Compositional Rule Learning for Knowledge Graph Reasoning
</a>
<br> Kewei Cheng, Nesreen Ahmed, Yizhou Sun, <i>in Proc. of 2023 Int. Conf. on Learning Representations (<b>ICLR’23</b>)</i>, Kigali, Rwanda, May. 2023. <a href="https://openreview.net/forum?id=F8VKQyDgRVj">[PDF]</a><a href="https://github.com/vivian1993/NCRL">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://arxiv.org/abs/2211.13638">
Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes
</a>
<br> Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie, <i>in Proc. of the 37th AAAI Conf. on Artificial Intelligence (<b>AAAI'23</b>)</i>, Washington, DC, Feb. 2023. <a href="https://arxiv.org/abs/2211.13638">[PDF]</a>
</p>
</li>
</ol>
<h3> 2022 </h3>
<ol>
<li>
<p> <a href="https://arxiv.org/abs/2211.08380">
Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering
</a>
<br> Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang and Yizhou Sun, <i>in Proc. of 2022 Conf. on Empirical Methods in Natural Language Processing (<b>EMNLP'22</b>)</i>, Abu Dhabi, UAE, Dec. 2022. <a href="https://arxiv.org/abs/2211.08380">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2022_NeurIPS_Fairness.pdf">
On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs
</a>
<br> Arjun Subramonian, Kai-Wei Chang, Yizhou Sun, <i>in Proc. of Thirty-sixth Conference on Neural Information Processing Systems (<b>NeurIPS'22</b>)</i>, New Orleans, LA, Nov. 2022. <a href="https://web.cs.ucla.edu/~yzsun/papers/2022_NeurIPS_Fairness.pdf">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://arxiv.org/abs/2201.12380">
Explaining Graph Neural Networks with Structure-Aware Cooperative Games
</a>
<br> Shichang Zhang, Neil Shah, Yozen Liu, Yizhou Sun, <i>in Proc. of Thirty-sixth Conference on Neural Information Processing Systems (<b>NeurIPS'22</b>)</i>, New Orleans, LA, Nov. 2022. <a href="https://arxiv.org/abs/2201.12380">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://arxiv.org/abs/2205.09797">
Improving Multi-Task Generalization via Regularizing Spurious Correlation
</a>
<br> Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed H. Chi, <i>in Proc. of Thirty-sixth Conference on Neural Information Processing Systems (<b>NeurIPS'22</b>)</i>, New Orleans, LA, Nov. 2022. <a href="https://arxiv.org/abs/2205.09797">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://arxiv.org/abs/2206.02921">
Schema-Guided Event Graph Completion
</a>
<br> Hongwei Wang, Zixuan Zhang, Sha Li, Jiawei Han, Yizhou Sun, Hanghang Tong, Joseph Olive, Heng Ji, <i>in Proc. of 4th Conference on Automated Knowledge Base Construction (<b>AKBC'22</b>)</i>, London, UK, Nov. 2022. <a href="https://arxiv.org/abs/2206.02921">[PDF]</a>
</p>
</li>
<li>
<p> <a href="">
Heterogeneous Information Networks: the Past, the Present, and the Future
</a>
<br> Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu, Tianyi Wu, <i>in Proc. of VLDB Endow 15(12): 3807-3811 (2022)(<b>VLDB'22</b>)</i> <a href="">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://songjiang0909.github.io/pdf/cikm_causal.pdf">
Estimating Causal Effects on Networked Observational Data via Representation Learning
</a>
<br> Song Jiang, Yizhou Sun, <i>in Proc. of 31st ACM International Conference on Information and Knowledge Management (<b>CIKM'22</b>)</i>, Atlanta, GA, Oct. 2022. <a href="https://songjiang0909.github.io/pdf/cikm_causal.pdf">[PDF]</a><a href="https://github.com/songjiang0909/Causal-Inference-on-Networked-Data">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://songjiang0909.github.io/pdf/cikm_ts.pdf">
Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting
</a>
<br> Song Jiang, Tahin Syed, Xuan Zhu, Joshua Levy, Boris Aronchik, Yizhou Sun, <i>in Proc. of 31st ACM International Conference on Information and Knowledge Management (<b>CIKM'22</b>)</i>, Atlanta, GA, Oct. 2022. <a href="https://github.com/songjiang0909/DeepFS">[CODE]</a>
</p>
</li>
<li>
<p> <a href="">
Multi-source Inductive Knowledge Graph Transfer
</a>
<br> Junheng Hao, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Junghwan Rhee, Zhichun Li and Wei Wang <i>in Proc. of Joint European Conference on Machine Learning and Knowledge Discovery in Databases (<b>ECML-PKDD'22</b>)</i>, Grenoble, France, Sept. 2022. <a href="">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2022_KDD_RLogic.pdf">
RLogic: Recursive Logical Rule Learning from Knowledge Graphs
</a>
<br> Kewei Cheng, Jiahao Liu, Wei Wang, Yizhou Sun, <i>in Proc. of 2022 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (<b>KDD’22</b>)</i>, Washington, DC, Aug. 2022. <a href="https://web.cs.ucla.edu/~yzsun/papers/2022_KDD_RLogic.pdf">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2022_KDD_DGS.pdf">
Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs
</a>
<br> Roshni G. Iyer, Yusheng Bai, Wei Wang, Yizhou Sun, <i>n Proc. of 2022 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (<b>KDD’22</b>)</i>, Washington, DC, Aug. 2022. <a href="https://web.cs.ucla.edu/~yzsun/papers/2022_KDD_DGS.pdf">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://dl.acm.org/doi/abs/10.1145/3489517.3530629">
Improving GNN-Based Accelerator Design Automation with Meta Learning
</a>
<br> Yunsheng Bai, Atefeh Sohrabizadeh, Yizhou Sun, and Jason Cong, <i>in Proc. of 59th ACM/IEEE Design Automation Conference (<b>DAC'22</b>)</i>, San Francisco, July 2022. <a href="https://dl.acm.org/doi/abs/10.1145/3489517.3530629">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://arxiv.org/abs/2111.08848">
Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks
</a>
<br> Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, and Jason Cong, <i>in Proc. of 59th ACM/IEEE Design Automation Conference (<b>DAC'22</b>)</i>, San Francisco, July 2022. <a href="https://arxiv.org/abs/2111.08848">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://arxiv.org/abs/2111.08848">
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment
</a>
<br> Zijie Huang, Zheng li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, and Wei Wang, <i>in Proc. of The 2022 Annual Meeting of the Association for Computational Linguistics (<b>ACL’22</b>)</i>, Dublin, Ireland, May 2022. <a href="https://arxiv.org/abs/2111.08848">[PDF]</a> <a href="https://github.com/amzn/ss-aga-kgc">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://arxiv.org/abs/2110.08727">
Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation
</a>
<br> Shichang Zhang, Yozen Liu, Yizhou Sun, and Neil Shah, <i>in Proc. of 2022 Int. Conf. on Learning Representations (<b>ICLR’22</b>)</i>, Online, April 2022. <a href="https://arxiv.org/abs/2110.08727">[PDF]</a> <a href="https://github.com/snap-research/graphless-neural-networks">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://arxiv.org/pdf/2202.09747.pdf">
PGE: Product Graph Embedding Learning for Error Detection
</a>
<br> Kewei Cheng, Xian Li, Yifan Xu, Xin Dong, and Yizhou Sun, <i>PVLDB also Proc. of 48th International Conference on Very Large Data Bases (<b>VLDB'22</b>)</i>, Sydney, Australia, Sept. 2022. <a href="https://arxiv.org/pdf/2202.09747.pdf">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2022_AAAI_FuzzQE.pdf">
Fuzzy Logic Based Logical Query Answering on Knowledge Graphs
</a>
<br> Xuelu Chen, Ziniu Hu, Yizhou Sun, <i>in Proc. of the 36th AAAI Conf. on Artificial Intelligence (<b>AAAI'22</b>)</i>, Online, Sept. 2022. <a href="https://web.cs.ucla.edu/~yzsun/papers/2022_AAAI_FuzzQE.pdf">[PDF]</a> <a href="https://github.com/stasl0217/FuzzQE-code">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://arxiv.org/abs/2012.02486">
Unsupervised Adversarially-Robust Representation Learning on Graphs
</a>
<br> Jiarong Xu, Yang Yang, Junru Chen, Chunping Wang, Xin Jiang, Jiangang Lu, Yizhou Sun, <i>in Proc. of the 36th AAAI Conf. on Artificial Intelligence (<b>AAAI'22</b>)</i>, Online, Sept. 2022. <a href="https://arxiv.org/abs/2012.02486">[PDF]</a> <a href="https://github.com/galina0217/robustgraph">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://arxiv.org/abs/2012.06757">
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs
</a>
<br> Jiarong Xu, Yang Yang, Junru Chen, Chunping Wang, Xin Jiang, Jiangang Lu, Yizhou Sun, <i>in Proc. of the 36th AAAI Conf. on Artificial Intelligence (<b>AAAI'22</b>)</i>, Online, Sept. 2022. <a href="https://arxiv.org/abs/2012.06757">[PDF]</a><a href="https://github.com/galina0217/stack">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://arxiv.org/abs/2110.15064">
Towards Fine-Grained Reasoning for Fake News Detection
</a>
<br> Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie, <i>in Proc. of the 36th AAAI Conf. on Artificial Intelligence (<b>AAAI'22</b>)</i>, Online, Sept. 2022. <a href="https://arxiv.org/abs/2110.15064">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://aaai-2022.virtualchair.net/poster_sa77">
GRU4RecBE: A Hybrid Session-Based Movie Recommendation System
</a>
<br> Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie, <i>in Proc. of the 36th AAAI Conf. on Artificial Intelligence (<b>AAAI'22</b>)</i> Student Abstract Track</i>, Online, Sept. 2022. <a href="https://aaai-2022.virtualchair.net/poster_sa77">[PDF]</a>
</p>
</li>
</ol>
<h3> 2021 </h3>
<ol>
<li>
<p> <a href="https://ieeexplore.ieee.org/abstract/document/9679017">
Bi-Level Attention Graph Neural Networks
</a>
<br> Roshni Iyer, Wei Wang, and Yizhou Sun, <i>in Proc. 2021 IEEE Int. Conf. on Data Mining (<b>ICDM'21</b>)</i>, online, Dec. 2021. <a href="https://ieeexplore.ieee.org/abstract/document/9679017">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2021_ENMLP_UniKER.pdf">
UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference
</a>
<br> Kewei Cheng, Ziqing Yang, Ming Zhang, and Yizhou Sun, <i>in Proc. 2021 Conf. on Empirical Methods in Natural Language Processing (<b>EMNLP'21</b>)</i>, online, Nov. 2021. <a href="https://web.cs.ucla.edu/~yzsun/papers/2021_ENMLP_UniKER.pdf">[PDF]</a><a href="https://github.com/vivian1993/UniKER">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2021_EMNLP_RelationQA.pdf">
Relation-Guided Pre-Training for Open-Domain Question Answering
</a>
<br> Ziniu Hu, Yizhou Sun, Kai-Wei Chang, <i>in Findings. 2021 Conf. on Empirical Methods in Natural Language Processing (<b>EMNLP'21 Findings</b>)</i>, online, Nov. 2021. <a href="https://web.cs.ucla.edu/~yzsun/papers/2021_EMNLP_RelationQA.pdf">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2021_KDD_CG_ODE.pdf">
Coupled Graph ODE for Learning Interacting System Dynamics
</a>
<br>Zijie Huang, Yizhou Sun, and Wei Wang, <i>in Proc. of 2021 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (<b>KDD'21</b>)</i>, online, Aug. 2021. <a href="https://web.cs.ucla.edu/~yzsun/papers/2021_KDD_CG_ODE.pdf">[PDF]</a><a href="https://github.com/ZijieH/CG-ODE">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2021_KDD_OntoGNN">
MEDTO: Medical Data to Ontology Matching Using Hybrid Graph Neural Networks
</a>
<br>Junheng Hao, Chuan Lei, Vasilis Efthymiou, Abdul Quamar, Fatma Ozcan, Yizhou Sun, and Wei Wang, <i>in Proc. of 2021 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (<b>KDD'21</b>)</i>, online, Aug. 2021. <a href="https://web.cs.ucla.edu/~yzsun/papers/2021_KDD_OntoGNN">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2021_ICML_GLSearch.pdf">
GLSearch: Maximum Common Subgraph Detection via Learning to Search
</a>
<br>Yunsheng Bai*, Derek Xu*, Yizhou Sun, and Wei Wang, <i>in Proc. of Thirty-eighth International Conference on Machine Learning (<b>ICML'21</b>)</i>, online, Jul. 2021. <a href="https://web.cs.ucla.edu/~yzsun/papers/2021_ICML_GLSearch.pdf">[PDF]</a><a href="https://github.com/DerekQXu/GLSearch">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://ieeexplore.ieee.org/document/8744319">
Mining Fraudsters and Fraudulent Strategies in Large-Scale Mobile Social Networks
</a>
<br><i>IEEE Trans. Knowl. Data Eng (<b>TKDE</b>)</i>, 2021. <a href="https://ieeexplore.ieee.org/document/8744319">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://arxiv.org/pdf/2103.00562.pdf">
CREATe: Clinical Report Extraction and Annotation Technology
</a>
<br>Yichao Zhou, Wei-Ting Chen, Bowen Zhang, David Lee, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, and Wei Wang, <i>IEEE 37rd International Conf. on Data Eng. (<b>ICDE'21</b>)</i>, Demo Track, online, Apr. 2021. <a href="https://arxiv.org/pdf/2103.00562.pdf">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://arxiv.org/abs/2012.10024">
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks
</a>
<br>Xiang Li, Danhao Ding, Ben Kao, Yizhou Sun, and Nikos Mamoulis, <i>IEEE 37rd International Conf. on Data Eng. (<b>ICDE'21</b>)</i>, online, Apr. 2021. <a href="https://arxiv.org/abs/2012.10024">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2021_WWW_HINTS.pdf">
HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding
</a>
<br>Song Jiang, Bernard Koch, Yizhou Sun, <i>in Proc. of The Web Conf. 2021 (<b>WWW’21</b>)</i>, online, Apr. 2021. <a href="https://web.cs.ucla.edu/~yzsun/papers/2021_WWW_HINTS.pdf">[PDF]</a><a href="https://github.com/songjiang0909/HINTS_code">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://arxiv.org/pdf/2012.08790.pdf">
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference
</a>
<br>Yichao Zhou, Yu Yan, Rujun Han, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, and Wei Wang, <i>in Proc. of the 35th AAAI Conf. on Artificial Intelligence (<b>AAAI'21</b>)</i>, online, Feb. 2021. <a href="https://arxiv.org/pdf/2012.08790.pdf">[PDF]</a>
</p>
</li>
</ol>
<h3> 2020 </h3>
<ol>
<li>
<p> <a href="https://arxiv.org/pdf/2004.00216.pdf">
Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark
</a>
<br>Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun and Jiawei Han, <i>in IEEE Transactions on Knowledge and Data Engineering (<b>TKDE</b>)</i>, Dec. 2020. <a href="https://arxiv.org/pdf/2004.00216.pdf">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2020_NeurIPS_LGODE.pdf">
Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations
</a>
<br>Zijie Huang, Yizhou Sun, Wei Wang, <i>in Thirty-fourth Conf. on Neural Information Processing Systems (<b>NeurIPS'20</b>)</i>, online, Dec. 2020. <a href="https://web.cs.ucla.edu/~yzsun/papers/2020_NeurIPS_LGODE.pdf">[PDF]</a><a href="https://github.com/ZijieH/LG-ODE">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://weitianxin.github.io/files/ICDM_2020_MetaCF.pdf">
"Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning
</a>
<br>Tianxin Wei, Ziwei Wu, Ruirui Li, Ziniu Hu, Fuli Feng, Xiangnan He, Yizhou Sun, and Wei Wang, <i>in Proc. 2020 IEEE Int. Conf. on Data Mining (<b>ICDM'20</b>)</i>, online, Nov. 2020. <a href="https://weitianxin.github.io/files/ICDM_2020_MetaCF.pdf">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://arxiv.org/abs/2010.03158">
Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer
</a>
<br>Xuelu Chen, Muhao Chen, Changjun Fan, Ankith Uppunda, Yizhou Sun, Carlo Zaniolo, <i>in 2020 Conf. on Empirical Methods in Natural Language Processing (<b>Findings of EMNLP - 2020</b>)</i>, online, Nov. 2021. <a href="https://arxiv.org/abs/2010.03158">[PDF]</a><a href="https://github.com/stasl0217/KEnS">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://dl.acm.org/doi/10.1145/3340531.3412732">
P-Companion: A Principled Framework for Diversified Complementary Product Recommendation
</a>
<br>Junheng Hao, Tong Zhao, Jin Li, Xin Luna Dong, Christos Faloutsos, Yizhou Sun and Wei Wang, <i>In the 29th ACM Intl. Conf. on Information and Knowledge Management (<b>CIKM'20</b>)</i>, online, Oct. 2020. <a href="https://dl.acm.org/doi/10.1145/3340531.3412732">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://www.biorxiv.org/content/10.1101/2020.06.15.153692v1">
Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases
</a>
<br>Junheng Hao, Chelsea J.-T. Ju, Muhao Chen, Yizhou Sun, Carlo Zaniolo and Wei Wang, <i>In the 11th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (<b>BCB'20</b>)</i>, <span style="color:red"> Best Student Paper Award</span>, online, Sept. 2020. <a href="https://www.biorxiv.org/content/10.1101/2020.06.15.153692v1"> [PDF]</a>
</p>
</li>
<li>
<p> <a href="https://arxiv.org/abs/1908.09756">
Differentiable Product Quantization for End-to-End Embedding Compression
</a>
<br>Ting Chen, Lala Li, Yizhou Sun, <i>in Proc. of Thirty-seventh International Conference on Machine Learning (<b>ICML'20</b>)</i>, online, Jul. 2020. <a href="https://arxiv.org/abs/1908.09756">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://arxiv.org/abs/2006.15437">
GPT-GNN: Generative Pre-Training of Graph Neural Networks
</a>
<br>Ziniu Hu, Yuxiao Dong, Kuansan Wang, Kai-Wei Chang, Yizhou Sun, <i>in Proc. of 2020 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (<b>KDD’20</b>)</i>, online, Aug. 2020. <a href="https://arxiv.org/abs/2006.15437">[PDF]</a><a href="https://github.com/UCLA-DM/GPT-GNN">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2020_KDD_GHashing.pdf">
GHashing: Semantic Graph Hashing for Approximate Similarity Search in Graph Databases
</a>
<br>Zongyue Qin, Yunsheng Bai and Yizhou Sun, <i>in Proc. of 2020 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (<b>KDD’20</b>)</i>, online, Aug. 2020. <a href="https://web.cs.ucla.edu/~yzsun/papers/2020_KDD_GHashing.pdf">[PDF]</a><a href="https://github.com/ZongyueQin/Graph-Hashing">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2020_KDD_TIMME.pdf">
TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding
</a>
<br>Zhiping Xiao, Weiping Song, Haoyan Xu, Zhicheng Ren and Yizhou Sun, <i>in Proc. of 2020 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (<b>KDD’20</b>)</i>, online, Aug. 2020. <a href="https://web.cs.ucla.edu/~yzsun/papers/2020_KDD_TIMME.pdf">[PDF]</a><a href="https://github.com/PatriciaXiao/TIMME">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2020_IJCAI_HIN_Survey.pdf">
Heterogeneous Network Representation Learning
</a>
<br>Yuxiao Dong, Ziniu Hu, Kuansan Wang, Yizhou Sun, Jie Tang, <i>in Proc. of 2020 Int. Joint Conf. on Artificial Intelligence and Pacific Rim Int. Conf. on Artificial Intelligence (<b>IJCAI-PRICAI’20</b>)</i>, online, Jul. 2020. <a href="https://web.cs.ucla.edu/~yzsun/papers/2020_IJCAI_HIN_Survey.pdf">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://www.nature.com/articles/s42256-020-0177-2.epdf?sharing_token=0CAxnrCP1THxBEtK2mS5c9RgN0jAjWel9jnR3ZoTv0O3ej6g4eVo3V4pnngJO-QMH375GbplyUstNSGUaq-zMyAnpSrZIOiiDvB0V_CqsCipIfCq-enY3sK3Uv_D_4b4aRn6lYXd8HEinWjLNM42tQZ0iVjeMBl6ZRA7D7WUBjM%3D">
Finding key players in complex networks through deep reinforcement learning
</a>
<br>Changjun Fan, Zeng Li, Yizhou Sun*, Yang-Yu Liu*, <i>Nature Machine Intelligence,</i> 2020. <a href="https://www.nature.com/articles/s42256-020-0177-2.epdf?sharing_token=0CAxnrCP1THxBEtK2mS5c9RgN0jAjWel9jnR3ZoTv0O3ej6g4eVo3V4pnngJO-QMH375GbplyUstNSGUaq-zMyAnpSrZIOiiDvB0V_CqsCipIfCq-enY3sK3Uv_D_4b4aRn6lYXd8HEinWjLNM42tQZ0iVjeMBl6ZRA7D7WUBjM%3D">[PDF]</a><a href="https://github.com/FFrankyy/FINDER">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://arxiv.org/abs/2003.01332">
Heterogeneous Graph Transformer
</a>
<br>Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun, <i>in Proc. 2020 Int. World Wide Web Conf. (<b>WWW’20</b>)</i>, online, Apr. 2020. <a href="https://arxiv.org/abs/2003.01332">[PDF]</a><a href="https://github.com/UCLA-DM/pyHGT">[CODE (PyG)]</a><a href="https://github.com/UCLA-DM/HGT-DGL">[CODE (DGL)]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2020_AAAI_GraphSim.pdf">
Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching
</a>
<br>Yunsheng Bai*, Hao Ding*, Yizhou Sun, and Wei Wang, <i>in Proc. of the 34rd AAAI Conference on Artificial Intelligence (<b>AAAI '20</b>)</i>, New York City, New York, Feb. 2020. <a href="https://web.cs.ucla.edu/~yzsun/papers/2020_AAAI_GraphSim.pdf">[PDF]</a><a href="https://github.com/yunshengb/GraphSim">[CODE]</a>
</p>
</li>
</ol>
<h3> 2019 </h3>
<ol>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2019_NeurIPS_LADIES.pdf">
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks
</a>
<br>Difan Zou*, Ziniu Hu*, Yewen Wang, Song Jiang, Yizhou Sun, and Quanquan Gu, <i>Thirty-third Conf. on Neural Information Processing Systems (NeurIPS'19)</i>, Vancouver, Dec. 2019. <a href="https://web.cs.ucla.edu/~yzsun/papers/2019_NeurIPS_LADIES.pdf">[PDF]</a><a href="https://github.com/UCLA-DM/LADIES">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://arxiv.org/pdf/1712.09008.pdf">
Recurrent meta-structure for robust similarity measure in heterogeneous information networks
</a>
<br>Yu Zhou, Jianbin Huang, Heli Sun, Yizhou Sun, Shaojie Qiao, Stephen Wambura, <i>ACM Transactions on Knowledge Discovery from Data (<b>TKDD</b>)</i>, Dec. 2019 <a href="https://arxiv.org/pdf/1712.09008.pdf">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://link.springer.com/article/10.1007/s10619-018-7244-2">
Abstract cost models for distributed data-intensive computations
</a>
<br>Rundong Li, Ningfang Mi, Mirek Riedewald, Yizhou Sun, and Yi Yao, <i>Distributed and Parallel Databases</i>, Sept. 2019. <a href="https://link.springer.com/article/10.1007/s10619-018-7244-2">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2019_CIKM_Betweenness.pdf">
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network
</a>
<br>Changjun Fan, Li Zeng, Yuhui Ding, Muhao Chen, Yizhou Sun and Zhong Liu, <i>,Proc. 2019 ACM Int. Conf. on Information and Knowledge Management (<b>CIKM’19</b>)</i>, Beijing, China, Nov. 2019. <a href="https://web.cs.ucla.edu/~yzsun/papers/2019_CIKM_Betweenness.pdf">[PDF]</a><a href="https://github.com/FFrankyy/DrBC">[CODE]</a>
</p>
</li>
<li>
<p> <a href="http://yangy.org/works/loan_fraud/cikm19_loan.pdf">
Understanding Default Behavior in Peer-to-Peer Lending
</a>
<br>Yang Yang, Yuhong Xu, Chunping Wang, Yizhou Sun, Fei Wu, Yueting Zhuang and Ming Gu, <i>Proc. 2019 ACM Int. Conf. on Information and Knowledge Management (<b>CIKM’19</b>)</i>, Beijing, China, Nov. 2019. <a href="http://yangy.org/works/loan_fraud/cikm19_loan.pdf">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://ieeexplore.ieee.org/document/9073413">
How Do Influencers Mention Brands in Social Media? Sponsorship Prediction of Instagram Posts
</a>
<br>Xiao Yang, Seungbae Kim and Yizhou Sun, <i>Proc. 2019 IEEE/ACM Int. Conf. on Advances in Social Networks Analysis and Mining (<b>ASONAM'19</b>)</i>, Vancouver, Canada, Aug. 2019. <a href="https://ieeexplore.ieee.org/document/9073413">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2019_IJCAI_UGraphEMB.pdf">
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity
</a>
<br>Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, and Wei Wang, <i>Proc. of 2019 Int. Joint Conf. on Artificial Intelligence (IJCAI'19)</i>, Macao, China, Aug. 2019. <a href="https://web.cs.ucla.edu/~yzsun/papers/2019_IJCAI_UGraphEMB.pdf">[PDF]</a><a href="https://github.com/yunshengb/UGraphEmb">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2019_KDD_JOIE.pdf">
Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts
</a>
<br>Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, and Wei Wang, <i>Proc. of 25th Int. ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (<b>KDD'19</b>)</i> (Oral Presentation), Anchorage, AK, Aug. 2019. <a href="https://web.cs.ucla.edu/~yzsun/papers/2019_KDD_JOIE.pdf">[PDF]</a><a href="https://github.com/JunhengH/joie-kdd19">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2019_ACL_OOV.pdf">
Few-Shot Representation Learning for Out-Of-Vocabulary Words
</a>
<br>Ziniu Hu, Ting Chen, Kai-Wei Chang, and Yizhou Sun, <i>Proc. of 57th Annual Meeting of the Association for Computational Linguistics (<b>ACL'19</b>)</i> , Florence, Italy, July 2019. <a href="https://web.cs.ucla.edu/~yzsun/papers/2019_ACL_OOV.pdf">[PDF]</a><a href="https://github.com/UCLA-DM/HiCE">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2019_AAAI_UKG.pdf">
Embedding Uncertain Knowledge Graphs
</a>
<br>Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo, <i>Proc. of The 33rd AAAI Conference on Artificial Intelligence (<b>AAAI '19</b>)</i> , Honolulu, Hawaii, Jan. 2019. <a href="https://web.cs.ucla.edu/~yzsun/papers/2019_AAAI_UKG.pdf">[PDF]</a><a href="https://github.com/stasl0217/UKGE">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2019_AAAI_QR.pdf">
Personalized Question Routing via Heterogeneous Network Embedding
</a>
<br> Zeyu Li, Jyun-Yu Jiang, Yizhou Sun and Wei Wang <i>Proc. of The 33rd AAAI Conference on Artificial Intelligence (<b>AAAI '19</b>)</i>, Honolulu, Hawaii, Jan. 2019. <a href="https://web.cs.ucla.edu/~yzsun/papers/2019_AAAI_QR.pdf">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2019_WSDM_SimGNN.pdf">
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation
</a>
<br>Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang, <i>Proc. 2019 ACM Int. Conf. on Web Search and Data Mining (<b>WSDM'19</b>)</i>, Melbourne, Australia, Feb. 2019. <a href="https://web.cs.ucla.edu/~yzsun/papers/2019_WSDM_SimGNN.pdf">[PDF]</a><a href="https://github.com/yunshengb/SimGNN">[CODE]</a>
</p>
</li>
</ol>
<h3> 2018 </h3>
<ol>
<li>
<p> <a href="https://arxiv.org/abs/1810.10866">
Convolutional Set Matching for Graph Similarity
</a>
<br>Yunsheng Bai, Hao Ding, Yizhou Sun, Wei Wang, <i>NIPS workshop on Relational Representation Learning</i>, Montreal, Canada, Dec. 2018. <a href="https://arxiv.org/abs/1810.10866">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2018_CIKM_hosseiniA.pdf">
HeteroMed: Heterogeneous Information Network for Medical Diagnosis
</a>
<br>Anahita Hosseini, Ting Chen, Wenjun Wu, Yizhou Sun, Majid Sarrafzadeh, <i>Proc. of 2018 ACM Int. Conf. on Information and Knowledge Management (<b>CIKM'18</b>)</i>, Turin, Italy, Oct. 2018. <a href="https://web.cs.ucla.edu/~yzsun/papers/2018_CIKM_hosseiniA.pdf">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2018_recsys_drafting.pdf">
The art of drafting: a team-oriented hero recommendation system for multiplayer online battle arena games
</a>
<br>Zhengxing Chen, Truong-Huy D Nguyen, Yuyu Xu, Christopher Amato, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr, <i>Proc. of the 12th ACM Conf. on Recommender Systems (<b>RecSys'18</b>)</i>, Vancouver, British Columbia, Canada, Oct. 2018. <a href="https://web.cs.ucla.edu/~yzsun/papers/2018_recsys_drafting.pdf">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2018_cig_deckrec.pdf">
Q-DeckRec: a Fast Deck Recommendation System for Collectible Card Games
</a>
<br>Zhengxing Chen, Christopher Amato, Truong-Huy D. Nguyen, Seth Cooper, Yizhou Sun and Magy Seif El-Nasr, <i>Proc. of the IEEE Conf. on Computational Intelligence and Games (<b>CIG'18</b>)</i>, Maastricht University, The Netherlands, Aug. 2018. <a href="https://web.cs.ucla.edu/~yzsun/papers/2018_cig_deckrec.pdf">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2018_icml_KDCoding.pdf">
Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations
</a>
<br>Ting Chen, Martin Renqiang Min, Yizhou Sun, <i>Proc. of the Thirty-fifth Int. Conf. on Machine Learning (<b>ICML'18</b>)</i>, Stockholm, Sweden, Jul. 2018. <a href="https://web.cs.ucla.edu/~yzsun/papers/2018_icml_KDCoding.pdf">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2018_www_RaRE.pdf">
RaRE: Social Rank Regulated Large-scale Network Embedding
</a>
<br>Yupeng Gu, Yizhou Sun, Yanen Li, Yang Yang, <i>Proc. of the 27th Int. Conf. on World Wide Web (<b>WWW’18</b>)</i>, Lyon, France, Apr. 2018. <a href="https://web.cs.ucla.edu/~yzsun/papers/2018_www_RaRE.pdf">[PDF]</a><a href="https://github.com/yupeng-gu-ucla/rare">[CODE]</a>
</p>
</li>
</ol>
<h3> 2017 </h3>
<ol>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2017_cikm_stance.pdf">
Weakly-Guided User Stance Prediction via Joint Modeling of Content and Social Interaction
</a>
<br>Rui Dong, Yizhou Sun, Lu Wang, Yupeng Gu, Yuan Zhong, <i>Proc. of the 26th ACM Int. Conf. on Information and Knowledge Management (<b>CIKM'17</b>)</i>, Singapore, Nov. 2017. <a href="https://web.cs.ucla.edu/~yzsun/papers/2017_cikm_stance.pdf">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2017_cikm_WangA.pdf">
Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks
</a>
<br>Chenguang Wang, Yangqiu Song, Haoran Li, Yizhou Sun, Ming Zhang, Jiawei Han, <i>Proc. of the 26th ACM Int. Conf. on Information and Knowledge Management (<b>CIKM'17</b>)</i>, Singapore, Nov. 2017. <a href="https://web.cs.ucla.edu/~yzsun/papers/2017_cikm_WangA.pdf">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2017_kdd_sampling.pdf">
On Sampling Strategies for Neural Network-based Collaborative Filtering
</a>
<br>Ting Chen, Yizhou Sun, Yue Shi, Liangjie Hong, <i>Proc. of 2017 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (<b>KDD'17</b>)</i>, Halifax, Nova Scotia, Canada, Aug. 2017 <a href="https://web.cs.ucla.edu/~yzsun/papers/2017_kdd_sampling.pdf">[PDF]</a><a href="https://github.com/chentingpc/NNCF">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2017_kdd_coevolution.pdf">
The Co-Evolution Model for Social Network Evolving and Opinion Migration
</a>
<br>Yupeng Gu, Yizhou Sun, Jianxi Gao, <i>Proc. of 2017 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (<b>KDD'17</b>)</i>, Halifax, Nova Scotia, Canada, Aug. 2017. <a href="https://web.cs.ucla.edu/~yzsun/papers/2017_kdd_coevolution.pdf">[PDF]</a><a href="https://github.com/yupeng-gu-ucla/conn">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2017-IJCAI-SSLHIN">
Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided RandomWalks
</a>
<br>He Jiang, Yangqiu Song, Chenguang Wang, Ming Zhang, and Yizhou Sun, <i>Proc. of 2017 Int. Joint Conf. on Artificial Intelligence (<b>IJCAI'17</b>)</i>, Melborne, Australia, Aug. 2017. <a href="https://web.cs.ucla.edu/~yzsun/papers/2017-IJCAI-SSLHIN">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/2017-DaWaK-Li.pdf">
A Case for Abstract Cost Models for Distributed Execution of Analytics Operators
</a>
<br>Rundong Li, Ningfang Mi, Mirek Riedewald, Yizhou Sun, and Yi Yao, <i>Proc. of 19th Int. Conf. on Big Data Analytics and Knowledge Discovery (<b>DaWak'17</b>)</i>, Lyon, France, Aug. 2017. <a href="https://web.cs.ucla.edu/~yzsun/papers/2017-DaWaK-Li.pdf">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://dl.acm.org/doi/10.1145/3011019">
ST-SAGE: A Spatial-Temporal Sparse Additive Generative Model for Spatial Item Recommendation
</a>
<br>Weiqing Wang, Hongzhi Yin, Ling Chen, Yizhou Sun, Shazia Wasim Sadiq, Xiaofang Zhou, <i>ACM TIST</i> 2017. <a href="https://dl.acm.org/doi/10.1145/3011019">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/WWW-17-Tutorial">
Recommendation in Context-Rich Environment: An Information Network Analysis Approach
</a>
<br>Yizhou Sun, Hongzhi Yin, Xiang Ren, <i>Proc. of the 26th Int. Conf. on World Wide Web Companion (<b>WWW'17</b>)</i> Conference Tutorial, Perth, Australia, Apr. 2017. <a href="https://web.cs.ucla.edu/~yzsun/papers/WWW-17-Tutorial">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/WWW17Chen_EOMM">
EOMM: An Engagement Optimized Matchmaking Framework
</a>
<br>Zhengxing Chen, Su Xue, John Kolen, Navid Aghdaie, Kazi A Zaman, Yizhou Sun, Magy Seif El-Nasr, <i>Proc. of the 26th Int. Conf. on World Wide Web (<b>WWW'17</b>)</i>, Perth, Australia, Apr. 2017. <a href="https://web.cs.ucla.edu/~yzsun/papers/WWW17Chen_EOMM">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/WSDM17_Chen.pdf">
Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification
</a>
<br>Ting Chen and Yizhou Sun, <i>Proc. of 2017 ACM Int. Conf. on Web Search and Data Mining (<b>WSDM'17</b>)</i>, Cambridge UK, Feb. 2017. <a href="https://web.cs.ucla.edu/~yzsun/papers/WSDM17_Chen.pdf">[PDF]</a><a href="https://github.com/chentingpc/GuidedHeteEmbedding">[CODE]</a>
</p>
</li>
<li>
<p> <a href="https://ieeexplore.ieee.org/document/7536145">
A Survey of Heterogeneous Information Network Analysis
</a>
<br>Chuan Shi, Yitong Li, Jiawei Zhang, Yizhou Sun, and Philip S. Yu, <i>IEEE Trans. Knowl. Data Eng (<b>TKDE</b>)</i>. 29(1): 17-37, 2017 <a href="https://ieeexplore.ieee.org/document/7536145">[PDF]</a>
</p>
</li>
</ol>
<h3> 2016 </h3>
<ol>
<li>
<p> <a href="https://www.researchgate.net/publication/309232712_Player_Skill_Decomposition_in_Multiplayer_Online_Battle_Arenas">
Player Skill Decomposition in Multiplayer Online Battle Arenas
</a>
<br>Zhengxing Chen, Yizhou Sun, Magy Seif El-Nasr, and Truong-Huy D. Nguyen, <i>In Int. Academic Conf. on Meaningful Play (<b>Meaningful Play 2016</b>)</i>, East Lansing, MI, Oct. 2016. <a href="https://www.researchgate.net/publication/309232712_Player_Skill_Decomposition_in_Multiplayer_Online_Battle_Arenas">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://dl.acm.org/doi/10.1145/2983323.2983673">
Towards Representation Independent Similarity Search Over Graph Databases
</a>
<br>Yodsawalai Chodpathumwan, Amirhossein Aleyasen, Arash Termehchy, and Yizhou Sun, <i>Proc. of the 25th ACM Int. Conf. on Information and Knowledge Management (<b>CIKM'16</b>)</i>, Indianapolis, IN, Oct. 2016. <a href="https://dl.acm.org/doi/10.1145/2983323.2983673">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/snam2016.pdf">
Design of reciprocal recommendation systems for online dating
</a>
<br>Peng Xia, Shuangfei Zhai, Benyuan Liu, Yizhou Sun, Cindy X. Chen, <i>Social Netw. Analys. Mining 6:32</i>, 2016. <a href="https://web.cs.ucla.edu/~yzsun/papers/snam2016.pdf">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/kdd16_meta%20structure.pdf">
Meta Structure: Computing Relevance in Large Heterogeneous Information Networks
</a>
<br>Zhipeng Huang, Yudian Zheng, Reynold Cheng, Yizhou Sun, Nikos Mamoulis, and Xiang Li,, <i>Proc. of 2016 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (<b>KDD'16</b>)</i>, San Francisco, CA, Aug. 2016. <a href="https://web.cs.ucla.edu/~yzsun/papers/kdd16_meta%20structure.pdf">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/ijcai16_anomaly.pdf">
Entity Embedding-based Anomaly Detection for Heterogeneous Categorical Events,
</a>
<br>Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang, <i>Proc. 25th Int. Joint Conf. on Artifical Intelligence (<b>IJCAI'16</b>)</i>, New York City, USA, Jul. 2016. <a href="https://web.cs.ucla.edu/~yzsun/papers/ijcai16_anomaly.pdf">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://www.researchgate.net/publication/298097749_Cross_Social_Media_Recommendation">
Cross Social Media Recommendation
</a>
<br>Xiaozhong Liu, Tian Xia, Yingying Yu, Chun Guo, Yizhou Sun, <i>Proc. of the 10th Int. AAAI Conf. on Web and Social Media (<b>ICWSM'16</b>)</i>, Cologne, Germany, May 2016. <a href="https://www.researchgate.net/publication/298097749_Cross_Social_Media_Recommendation">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-016-1005-x">
Predicting drug target interactions using meta-path-based semantic network analysis
</a>
<br>Gang Fu, Ying Ding, Abhik Seal, Bin Chen, Yizhou Sun, and Evan Bolton, <i>BMC Bioinformatics 17:160</i>, 2016. <a href="https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-016-1005-x">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/WSDMCup_2016.pdf">
WSDM Cup 2016: Entity Ranking Challenge
</a>
<br>Alex D. Wade, Kuansan Wang, Yizhou Sun, and Antonio Gulli, <i>Proc. 2016 ACM Int. Conf. on Web Search and Data Mining (<b>WSDM'16</b>)</i>, San Francisco, CA, Feb. 2016. <a href="https://web.cs.ucla.edu/~yzsun/papers/WSDMCup_2016.pdf">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/WWW16_Gu.pdf">
Learning Global Term Weights for Content-based Recommender Systems
</a>
<br>Yupeng Gu, Bo Zhao, David Hardtke, Yizhou Sun,, <i>Proc. of the 25th Int. Conf. on World Wide Web (<b>WWW'16</b>)</i>, Montreal, Canada, Apr. 2016. <a href="https://web.cs.ucla.edu/~yzsun/papers/WWW16_Gu.pdf">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/SDM16_Chen.pdf">
Integrating Community and Role Detection in Information Networks
</a>
<br>Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, and Guofei Jiang, <i>Proc of 2016 SIAM Int. Conf. on Data Mining (<b>SDM'16</b>)</i>, Miami, FL, May 2016. <a href="https://web.cs.ucla.edu/~yzsun/papers/SDM16_Chen.pdf">[PDF]</a>
</p>
</li>
<li>
<p> <a href="https://web.cs.ucla.edu/~yzsun/papers/SDM16_RelSim.pdf">
RelSim: Relation Similarity Search in Schema-Rich Heterogeneous Information Networks
</a>