Dynamic topic discovery through sequential projections. - Weicong Ding; Prakash Ishwar; Venkatesh Saligrama (ACSSC, 2013)

A new geometric approach to latent topic modeling and discovery. - Weicong Ding; Mohammad H. Rohban; Prakash Ishwar; Venkatesh Saligrama (ICASSP, 2013)

Topic Discovery through Data Dependent and Random Projections. - Weicong Ding; Mohammad Hossein Rohban; Prakash Ishwar; Venkatesh Saligrama (ICML (3), 2013)

Necessary and Sufficient Conditions for Novel Word Detection in Separable Topic Models. - Weicong Ding; Prakash Ishwar; Mohammad H. Rohban; Venkatesh Saligrama (CoRR, 2013)

Efficient Distributed Topic Modeling with Provable Guarantees. - Weicong Ding; Mohammad H. Rohban; Prakash Ishwar; Venkatesh Saligrama (AISTATS, 2014)

Sensing-aware kernel SVM. - Weicong Ding; Prakash Ishwar; Venkatesh Saligrama; W. Clem Karl (ICASSP, 2014)

A Topic Modeling Approach to Ranking. - Weicong Ding; Prakash Ishwar; Venkatesh Saligrama (AISTATS, 2015)

Learning shared rankings from mixtures of noisy pairwise comparisons. - Weicong Ding; Prakash Ishwar; Venkatesh Saligrama (ICASSP, 2015)

Most large topic models are approximately separable. - Weicong Ding; Prakash Ishwar; Venkatesh Saligrama (ITA, 2015)

Learning Mixed Membership Mallows Models from Pairwise Comparisons. - Weicong Ding; Prakash Ishwar; Venkatesh Saligrama (CoRR, 2015)

Necessary and Sufficient Conditions and a Provably Efficient Algorithm for Separable Topic Discovery. - Weicong Ding; Prakash Ishwar; Venkatesh Saligrama (CoRR, 2015)

Just One More: Modeling Binge Watching Behavior. - William Trouleau; Azin Ashkan; Weicong Ding; Brian Eriksson (KDD, 2016)

A Provably Efficient Algorithm for Separable Topic Discovery. - Weicong Ding; Prakash Ishwar; Venkatesh Saligrama (IEEE J. Sel. Top. Signal Process., 2016)

Node embedding for network community discovery. - Christy Lin; Prakash Ishwar; Weicong Ding (ICASSP, 2017)

Matrix Factorization with Side and Higher Order Information. - Vatsal Shah; Nikhil Rao 001; Weicong Ding (CoRR, 2017)

A Simple Approach to Learn Polysemous Word Embeddings. - Yifan Sun 001; Nikhil Rao 001; Weicong Ding (CoRR, 2017)

Discovery of Evolving Semantics through Dynamic Word Embedding Learning. - Zijun Yao 001; Yifan Sun 001; Weicong Ding; Nikhil Rao 001; Hui Xiong 001 (CoRR, 2017)

Node Embedding via Word Embedding for Network Community Discovery. - Weicong Ding; Christy Lin; Prakash Ishwar (IEEE Trans. Signal Inf. Process. over Networks, 2017)

Dynamic Word Embeddings for Evolving Semantic Discovery. - Zijun Yao 001; Yifan Sun 001; Weicong Ding; Nikhil Rao 001; Hui Xiong 001 (WSDM, 2018)

A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews. - Vineeth Rakesh; Weicong Ding; Aman Ahuja; Nikhil Rao 001; Yifan Sun 001; Chandan K. Reddy (WWW, 2018)

Whole Page Optimization with Global Constraints. - Weicong Ding; Dinesh Govindaraj; S. V. N. Vishwanathan (KDD, 2019)

Short Video-based Advertisements Evaluation System: Self-Organizing Learning Approach. - Yunjie Zhang; Fei Tao; Xudong Liu; Runze Su; Xiaorong Mei; Weicong Ding; Zhichen Zhao; Lei Yuan 001; Ji Liu 002 (CoRR, 2020)

PASTO: Strategic Parameter Optimization in Recommendation Systems - Probabilistic is Better than Deterministic. - Weicong Ding; Hanlin Tang; Jingshuo Feng; Lei Yuan 001; Sen Yang 004; Guangxu Yang; Jie Zheng; Jing Wang 050; Qiang Su; Dong Zheng; Xuezhong Qiu; Yongqi Liu; et al. (CoRR, 2021)