Weicong Ding

Publication Activity (10 Years)

Years Active: 2013-2021
Publications (10 Years): 13

Top Topics

Pairwise Comparison

Topic Discovery

Parameter Optimization

Top Venues

Publications

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
PASTO: Strategic Parameter Optimization in Recommendation Systems - Probabilistic is Better than Deterministic. CoRR (2021)
Yunjie Zhang, Fei Tao, Xudong Liu, Runze Su, Xiaorong Mei, Weicong Ding, Zhichen Zhao, Lei Yuan, Ji Liu
Short Video-based Advertisements Evaluation System: Self-Organizing Learning Approach. CoRR (2020)
Weicong Ding, Dinesh Govindaraj, S. V. N. Vishwanathan
Whole Page Optimization with Global Constraints. KDD (2019)
Vineeth Rakesh, Weicong Ding, Aman Ahuja, Nikhil Rao, Yifan Sun, Chandan K. Reddy
A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews. WWW (2018)
Zijun Yao, Yifan Sun, Weicong Ding, Nikhil Rao, Hui Xiong
Dynamic Word Embeddings for Evolving Semantic Discovery. WSDM (2018)
Vatsal Shah, Nikhil Rao, Weicong Ding
Matrix Factorization with Side and Higher Order Information. CoRR (2017)
Yifan Sun, Nikhil Rao, Weicong Ding
A Simple Approach to Learn Polysemous Word Embeddings. CoRR (2017)
Zijun Yao, Yifan Sun, Weicong Ding, Nikhil Rao, Hui Xiong
Discovery of Evolving Semantics through Dynamic Word Embedding Learning. CoRR (2017)
Christy Lin, Prakash Ishwar, Weicong Ding
Node embedding for network community discovery. ICASSP (2017)
Weicong Ding, Christy Lin, Prakash Ishwar
Node Embedding via Word Embedding for Network Community Discovery. IEEE Trans. Signal Inf. Process. over Networks 3 (3) (2017)
William Trouleau, Azin Ashkan, Weicong Ding, Brian Eriksson
Just One More: Modeling Binge Watching Behavior. KDD (2016)
Weicong Ding, Christy Lin, Prakash Ishwar
Node Embedding via Word Embedding for Network Community Discovery. CoRR (2016)
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
A Provably Efficient Algorithm for Separable Topic Discovery. IEEE J. Sel. Top. Signal Process. 10 (4) (2016)
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
Learning Mixed Membership Mallows Models from Pairwise Comparisons. CoRR (2015)
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
Necessary and Sufficient Conditions and a Provably Efficient Algorithm for Separable Topic Discovery. CoRR (2015)
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
Most large topic models are approximately separable. ITA (2015)
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
Learning shared rankings from mixtures of noisy pairwise comparisons. ICASSP (2015)
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
A Topic Modeling Approach to Ranking. AISTATS (2015)
Weicong Ding, Mohammad H. Rohban, Prakash Ishwar, Venkatesh Saligrama
Efficient Distributed Topic Modeling with Provable Guarantees. AISTATS (2014)
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama, W. Clem Karl
Sensing-aware kernel SVM. ICASSP (2014)
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
A Topic Modeling Approach to Ranking. CoRR (2014)
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
Dynamic topic discovery through sequential projections. ACSSC (2013)
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama, W. Clem Karl
Sensing-Aware Kernel SVM. CoRR (2013)
Weicong Ding, Prakash Ishwar, Mohammad H. Rohban, Venkatesh Saligrama
Necessary and Sufficient Conditions for Novel Word Detection in Separable Topic Models. CoRR (2013)
Weicong Ding, Mohammad H. Rohban, Prakash Ishwar, Venkatesh Saligrama
A new geometric approach to latent topic modeling and discovery. ICASSP (2013)
Weicong Ding, Mohammad H. Rohban, Prakash Ishwar, Venkatesh Saligrama
Topic Discovery through Data Dependent and Random Projections CoRR (2013)
Weicong Ding, Mohammad Hossein Rohban, Prakash Ishwar, Venkatesh Saligrama
Topic Discovery through Data Dependent and Random Projections. ICML (3) (2013)