109 citations · 187 across the 13 of their papers we have counts for
13 papers
PASTO: Strategic Parameter Optimization in Recommendation Systems -- Probabilistic is Better than Deterministic
Weicong Ding, Hanlin Tang, Jingshuo Feng +17
Real-world recommendation systems often consist of two phases. In the first phase, multiple predictive models produce the probability of different immediate user actions. In the se…
Short Video-based Advertisements Evaluation System: Self-Organizing Learning Approach
Yunjie Zhang, Fei Tao, Xudong Liu +6
With the rising of short video apps, such as TikTok, Snapchat and Kwai, advertisement in short-term user-generated videos (UGVs) has become a trending form of advertising. Predicti…
A Simple Approach to Learn Polysemous Word Embeddings
Yifan Sun, Nikhil Rao, Weicong Ding
Many NLP applications require disambiguating polysemous words. Existing methods that learn polysemous word vector representations involve first detecting various senses and optimiz…
Matrix Completion via Factorizing Polynomials
Vatsal Shah, Nikhil Rao, Weicong Ding
Predicting unobserved entries of a partially observed matrix has found wide applicability in several areas, such as recommender systems, computational biology, and computer vision.…
Dynamic Word Embeddings for Evolving Semantic Discovery
Zijun Yao, Yifan Sun, Weicong Ding +2
Word evolution refers to the changing meanings and associations of words throughout time, as a byproduct of human language evolution. By studying word evolution, we can infer socia…
Node Embedding via Word Embedding for Network Community Discovery
Weicong Ding, Christy Lin, Prakash Ishwar
Neural node embeddings have recently emerged as a powerful representation for supervised learning tasks involving graph-structured data. We leverage this recent advance to develop…