activity
20162023
most citedProduct-based Neural Networks for User Response Prediction

52 citations · 123 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2023★ 4 cited

Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training

Xidong Feng, Ziyu Wan, Muning Wen +4

Recent works like Tree-of-Thought (ToT) and Reasoning via Planning (RAP) aim to augment the reasoning capabilities of LLMs by using tree-search algorithms to guide multi-step reaso…

cs.GT2019

Infer Your Enemies and Know Yourself, Learning in Real-Time Bidding with Partially Observable Opponents

Manxing Du, Alexander I. Cowen-Rivers, Ying Wen +4

Real-time bidding, as one of the most popular mechanisms for selling online ad slots, facilitates advertisers to reach their potential customers. The goal of bidding optimization i…

cs.AI2017★ 18 cited

A Study of AI Population Dynamics with Million-agent Reinforcement Learning

Yaodong Yang, Lantao Yu, Yiwei Bai +4

We conduct an empirical study on discovering the ordered collective dynamics obtained by a population of intelligence agents, driven by million-agent reinforcement learning. Our in…

cs.LG2016★ 52 cited

Product-based Neural Networks for User Response Prediction

Yanru Qu, Han Cai, Kan Ren +4

Predicting user responses, such as clicks and conversions, is of great importance and has found its usage in many Web applications including recommender systems, web search and onl…

cs.CL2016★ 49 cited

Learning text representation using recurrent convolutional neural network with highway layers

Ying Wen, Weinan Zhang, Rui Luo +1

Recently, the rapid development of word embedding and neural networks has brought new inspiration to various NLP and IR tasks. In this paper, we describe a staged hybrid model comb…