260 citations · 272 across the 4 of their papers we have counts for
4 papers
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees
Siliang Zeng, Chenliang Li, Alfredo Garcia +1
Inverse reinforcement learning (IRL) aims to recover the reward function and the associated optimal policy that best fits observed sequences of states and actions implemented by an…
Path-based Deep Network for Candidate Item Matching in Recommenders
Houyi Li, Zhihong Chen, Chenliang Li +5
The large-scale recommender system mainly consists of two stages: matching and ranking. The matching stage (also known as the retrieval step) identifies a small fraction of relevan…
Targeted Sentiment Analysis: A Data-Driven Categorization
Jiaxin Pei, Aixin Sun, Chenliang Li
Targeted sentiment analysis (TSA), also known as aspect based sentiment analysis (ABSA), aims at detecting fine-grained sentiment polarity towards targets in a given opinion docume…
Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey
Wei Emma Zhang, Quan Z. Sheng, Ahoud Alhazmi +1
With the development of high computational devices, deep neural networks (DNNs), in recent years, have gained significant popularity in many Artificial Intelligence (AI) applicatio…