activity
20202022
most citedHow to Evaluate Your Dialogue Models: A Review of Approaches

3 citations · 5 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG20222 cited

Ensemble Spectral Prediction (ESP) Model for Metabolite Annotation

Xinmeng Li, Hao Zhu, Li-ping Liu +1

A key challenge in metabolomics is annotating measured spectra from a biological sample with chemical identities. Currently, only a small fraction of measurements can be assigned i…

q-bio.QM2021

Boost-RS: Boosted Embeddings for Recommender Systems and its Application to Enzyme-Substrate Interaction Prediction

Xinmeng Li, Li-ping Liu, Soha Hassoun

Despite experimental and curation efforts, the extent of enzyme promiscuity on substrates continues to be largely unexplored and under documented. Recommender systems (RS), which a…

cs.CL20213 cited

How to Evaluate Your Dialogue Models: A Review of Approaches

Xinmeng Li, Wansen Wu, Long Qin +1

Evaluating the quality of a dialogue system is an understudied problem. The recent evolution of evaluation method motivated this survey, in which an explicit and comprehensive anal…

cs.CL2021

Question-Aware Memory Network for Multi-hop Question Answering in Human-Robot Interaction

Xinmeng Li, Mamoun Alazab, Qian Li +2

Knowledge graph question answering is an important technology in intelligent human-robot interaction, which aims at automatically giving answer to human natural language question w…

cs.CE2020

ASAP-SML: An Antibody Sequence Analysis Pipeline Using Statistical Testing and Machine Learning

Xinmeng Li, James A. Van Deventer, Soha Hassoun

Antibodies are capable of potently and specifically binding individual antigens and, in some cases, disrupting their functions. The key challenge in generating antibody-based inhib…