Weicong Ding

27 papers A* 3A 3Misc 6Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2021 J jnl
PASTO: Strategic Parameter Optimization in Recommendation Systems - Probabilistic is Better than Deterministic.
CoRR
Weicong Ding, Hanlin Tang, Jingshuo Feng, Lei Yuan, Sen Yang, Guangxu Yang, Jie Zheng, Jing Wang, Qiang Su, Dong Zheng, Xuezhong Qiu, Yongqi Liu, Yuxuan Chen, Yang Liu, Chao Song, Dongying Kong, Kai Ren, Peng Jiang, Qiao Lian, Ji Liu
2020 J jnl
Short Video-based Advertisements Evaluation System: Self-Organizing Learning Approach.
CoRR
Yunjie Zhang, Fei Tao, Xudong Liu, Runze Su, Xiaorong Mei, Weicong Ding, Zhichen Zhao, Lei Yuan, Ji Liu
2019 A* conf
Whole Page Optimization with Global Constraints.
KDD
Weicong Ding, Dinesh Govindaraj, S. V. N. Vishwanathan
2018 A* conf
A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews.
WWW
Vineeth Rakesh, Weicong Ding, Aman Ahuja, Nikhil Rao, Yifan Sun, Chandan K. Reddy
2018 A conf
Dynamic Word Embeddings for Evolving Semantic Discovery.
WSDM
Zijun Yao, Yifan Sun, Weicong Ding, Nikhil Rao, Hui Xiong
2017 J jnl
A Simple Approach to Learn Polysemous Word Embeddings.
CoRR
Yifan Sun, Nikhil Rao, Weicong Ding
2017 J jnl
Discovery of Evolving Semantics through Dynamic Word Embedding Learning.
CoRR
Zijun Yao, Yifan Sun, Weicong Ding, Nikhil Rao, Hui Xiong
2017 J jnl
Matrix Factorization with Side and Higher Order Information.
CoRR
Vatsal Shah, Nikhil Rao, Weicong Ding
2017 J jnl
Node Embedding via Word Embedding for Network Community Discovery.
IEEE Trans. Signal Inf. Process. over Networks
Weicong Ding, Christy Lin, Prakash Ishwar
2017 Misc conf
Node embedding for network community discovery.
ICASSP
Christy Lin, Prakash Ishwar, Weicong Ding
2016 J jnl
A Provably Efficient Algorithm for Separable Topic Discovery.
IEEE J. Sel. Top. Signal Process.
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
2016 A* conf
Just One More: Modeling Binge Watching Behavior.
KDD
William Trouleau, Azin Ashkan, Weicong Ding, Brian Eriksson
2016 J jnl
Node Embedding via Word Embedding for Network Community Discovery.
CoRR
Weicong Ding, Christy Lin, Prakash Ishwar
2015 A conf
A Topic Modeling Approach to Ranking.
AISTATS
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
2015 J jnl
Learning Mixed Membership Mallows Models from Pairwise Comparisons.
CoRR
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
2015 Misc conf
Learning shared rankings from mixtures of noisy pairwise comparisons.
ICASSP
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
2015 Misc conf
Most large topic models are approximately separable.
ITA
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
2015 J jnl
Necessary and Sufficient Conditions and a Provably Efficient Algorithm for Separable Topic Discovery.
CoRR
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
2014 J jnl
A Topic Modeling Approach to Ranking.
CoRR
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
2014 A conf
Efficient Distributed Topic Modeling with Provable Guarantees.
AISTATS
Weicong Ding, Mohammad H. Rohban, Prakash Ishwar, Venkatesh Saligrama
2014 Misc conf
Sensing-aware kernel SVM.
ICASSP
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama, W. Clem Karl
2013 Misc conf
A new geometric approach to latent topic modeling and discovery.
ICASSP
Weicong Ding, Mohammad H. Rohban, Prakash Ishwar, Venkatesh Saligrama
2013 Misc conf
Dynamic topic discovery through sequential projections.
ACSSC
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
2013 J jnl
Necessary and Sufficient Conditions for Novel Word Detection in Separable Topic Models.
CoRR
Weicong Ding, Prakash Ishwar, Mohammad H. Rohban, Venkatesh Saligrama
2013 J jnl
Sensing-Aware Kernel SVM.
CoRR
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama, W. Clem Karl
2013 J jnl
Topic Discovery through Data Dependent and Random Projections
CoRR
Weicong Ding, Mohammad H. Rohban, Prakash Ishwar, Venkatesh Saligrama
2013 — conf
Topic Discovery through Data Dependent and Random Projections.
ICML (3)
Weicong Ding, Mohammad Hossein Rohban, Prakash Ishwar, Venkatesh Saligrama