Vachik S. Dave

27 papers A* 5A 4B 1Journal 10Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	International Workshop on Online and Adaptive Recommender Systems (OARS 2025). KDD (2) Xiquan Cui, Derek Zhiyuan Cheng, Fei Liu, Tao Ye, Julian J. McAuley, Vachik S. Dave, Stephen Guo
2024	A	`conf`	International Workshop on Online and Adaptive Recommender Systems (OARS 2024). CIKM Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Stephen D. Guo, Chip Huyen
2024	A	`conf`	The 3rd International Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom 2024). WSDM Vachik S. Dave, Linsey Pang, Xiquan Cui, Chen Luo, Hamed Zamani, Lingfei Wu, George Karypis
2023	A*	`conf`	3rd Workshop on Online and Adaptive Recommender Systems (OARS). KDD Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Stephen D. Guo, Chip Huyen
2023	A*	`conf`	Entity-aware Multi-task Learning for Query Understanding at Walmart. KDD Zhiyuan Peng, Vachik S. Dave, Nicole McNabb, Rahul Sharnagat, Alessandro Magnani, Ciya Liao, Yi Fang, Sravanthi Rajanala
2023	—	`conf`	The 2nd Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom). WWW (Companion Volume) Vachik S. Dave, Linsey Pang, Xiquan Cui, Lingfei Wu, Hamed Zamani, George Karypis
2022	A*	`conf`	2nd Workshop on Online and Adaptive Recommender Systems (OARS). KDD Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Kamelia Aryafar, Mohammed Korayem
2021	A*	`conf`	Workshop on Online and Adaptative Recommender Systems (OARS). KDD Xiquan Cui, Estelle Afshar, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Kamelia Aryafar, Vachik S. Dave, Mohammad Korayem
2019	J	`jnl`	Analysis and Comparison of Neural Network Models for Software Development Effort Estimation. J. Cases Inf. Technol. Kamlesh Dutta, Varun Gupta, Vachik S. Dave
2019	—	`conf`	Dirichlet Process Gaussian Mixture for Active Online Name Disambiguation by Particle Filter. JCDL Baichuan Zhang, Murat Dundar, Vachik S. Dave, Mohammad Al Hasan
2019	—	`conf`	Network Alignment Using Graphlet Signature and High Order Proximity. LOD Aljohara Almulhim, Vachik S. Dave, Mohammad Al Hasan
2019	J	`jnl`	Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding. Data Sci. Eng. Vachik S. Dave, Baichuan Zhang, Pin-Yu Chen, Mohammad Al Hasan
2019	B	`conf`	Neural-brane: an inductive approach for attributed network embedding. ASONAM Vachik S. Dave, Baichuan Zhang, Pin-Yu Chen, Mohammad Al Hasan
2019	—	`conf`	Triangle Completion Time Prediction Using Time-Conserving Embedding. ECML/PKDD (1) Vachik S. Dave, Mohammad Al Hasan
2018	A	`conf`	A Combined Representation Learning Approach for Better Job and Skill Recommendation. CIKM Vachik S. Dave, Baichuan Zhang, Mohammad Al Hasan, Khalifeh AlJadda, Mohammed Korayem
2018	J	`jnl`	Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding. CoRR Vachik S. Dave, Baichuan Zhang, Pin-Yu Chen, Mohammad Al Hasan
2018	J	`jnl`	Predicting Soc. Netw. Anal. Min. Vachik S. Dave, Mohammad Al Hasan, Baichuan Zhang, Chandan K. Reddy
2018	J	`jnl`	Triangle counting in large networks: a review. WIREs Data Mining Knowl. Discov. Mohammad Al Hasan, Vachik S. Dave
2017	—	`conf`	E-CLoG: Counting edge-centric local graphlets. IEEE BigData Vachik S. Dave, Nesreen K. Ahmed, Mohammad Al Hasan
2017	J	`jnl`	Feature Selection for Classification under Anonymity Constraint. Trans. Data Priv. Baichuan Zhang, Noman Mohammed, Vachik S. Dave, Mohammad Al Hasan
2017	A	`conf`	How Fast Will You Get a Response? Predicting Interval Time for Reciprocal Link Creation. ICWSM Vachik S. Dave, Mohammad Al Hasan, Chandan K. Reddy
2017	A*	`conf`	Supporting Employer Name Normalization at both Entity and Cluster Level. KDD Qiaoling Liu, Faizan Javed, Vachik S. Dave, Ankita Joshi
2016	J	`jnl`	TopCom: Index for Shortest Distance Query in Directed Graph. CoRR Vachik S. Dave, Mohammad Al Hasan
2015	J	`jnl`	Feature Selection for Classification under Anonymity Constraint. CoRR Baichuan Zhang, Vachik S. Dave, Mohammad Al Hasan
2015	—	`conf`	TopCom: Index for Shortest Distance Query in Directed Graph. DEXA (1) Vachik S. Dave, Mohammad Al Hasan
2014	J	`jnl`	Neural network based models for software effort estimation: a review. Artif. Intell. Rev. Vachik S. Dave, Kamlesh Dutta
2011	J	`jnl`	Comparison of regression model, feed-forward neural network and radial basis neural network for software development effort estimation. ACM SIGSOFT Softw. Eng. Notes Vachik S. Dave, Kamlesh Dutta