Vachik S. Dave

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