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Featured Co-authors

Li Shen
141 publications
George Karypis
69 publications
Huan Sun
51 publications
Bo Peng
49 publications
Christian Desrosiers
48 publications
Srinivasan Parthasarathy
46 publications
Huzefa Rangwala
30 publications
Martin Renqiang Min
30 publications
Hongyu Guo
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Mohammad Al Hasan
16 publications
Ziwei Fan
15 publications

∙ 09/18/2023

Multi-modality Meets Re-learning: Mitigating Negative Transfer in Sequential Recommendation

Learning effective recommendation models from sparse user interactions r...

0 Bo Peng, et al. ∙

∙ 09/06/2023

RLSynC: Offline-Online Reinforcement Learning for Synthon Completion

Retrosynthesis is the process of determining the set of reactant molecul...

0 Frazier N. Baker, et al. ∙

∙ 08/23/2023

Shape-conditioned 3D Molecule Generation via Equivariant Diffusion Models

Ligand-based drug design aims to identify novel drug candidates of simil...

0 Ziqi Chen, et al. ∙

∙ 06/30/2023

Precision Anti-Cancer Drug Selection via Neural Ranking

Personalized cancer treatment requires a thorough understanding of compl...

0 Vishal Dey, et al. ∙

∙ 03/02/2023

T-Cell Receptor Optimization with Reinforcement Learning and Mutation Policies for Precesion Immunotherapy

T cells monitor the health status of cells by identifying foreign peptid...

0 Ziqi Chen, et al. ∙

∙ 09/16/2022

Recursive Attentive Methods with Reused Item Representations for Sequential Recommendation

Sequential recommendation aims to recommend the next item of users' inte...

0 Bo Peng, et al. ∙

∙ 06/10/2022

𝖦^2𝖱𝖾𝗍𝗋𝗈: Two-Step Graph Generative Models for Retrosynthesis Prediction

Retrosynthesis is a procedure where a molecule is transformed into poten...

0 Ziqi Chen, et al. ∙

∙ 06/04/2022

Prospective Preference Enhanced Mixed Attentive Model for Session-based Recommendation

Session-based recommendation aims to generate recommendations for the ne...

0 Bo Peng, et al. ∙

∙ 11/14/2021

Improving Compound Activity Classification via Deep Transfer and Representation Learning

Recent advances in molecular machine learning, especially deep neural ne...

0 Vishal Dey, et al. ∙

∙ 09/09/2021

Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems

Collaborative recommendation approaches based on nearest-neighbors are s...

0 Athanasios N. Nikolakopoulos, et al. ∙

∙ 12/08/2020

Molecule Optimization via Fragment-based Generative Models

In drug discovery, molecule optimization is an important step in order t...

0 Ziqi Chen, et al. ∙

∙ 12/04/2020

Ranking-based Convolutional Neural Network Models for Peptide-MHC Binding Prediction

T-cell receptors can recognize foreign peptides bound to major histocomp...

0 Ziqi Chen, et al. ∙

∙ 08/25/2020

Understanding Breast Implant Illness via Social Media Data Analysis

Background: Breast implants have been increasingly popular over the last...

0 Vishal Dey, et al. ∙

∙ 08/12/2020

Improving information retrieval from electronic health records using dynamic and multi-collaborative filtering

Due to the rapid growth of information available about individual patien...

0 Ziwei Fan, et al. ∙

∙ 07/19/2020

Hybrid Collaborative Filtering Models for Clinical Search Recommendation

With increasing and extensive use of electronic health records, clinicia...

0 Zhiyun Ren, et al. ∙

∙ 04/03/2020

M2pht: Mixed Models with Preferences and Hybrid Transitions for Next-Basket Recommendation

Next-basket recommendation considers the problem of recommending a set o...

1 Bo Peng, et al. ∙

∙ 02/27/2020

HAM: Hybrid Associations Model with Pooling for Sequential Recommendation

We developed a hybrid associations model (HAM) to generate sequential re...

0 Bo Peng, et al. ∙

∙ 11/15/2019

CNN-based Dual-Chain Models for Knowledge Graph Learning

Knowledge graph learning plays a critical role in integrating domain spe...

0 Bo Peng, et al. ∙

∙ 02/22/2019

Drug-drug interaction prediction based on co-medication patterns and graph matching

Background: The problem of predicting whether a drug combination of arbi...

0 Wen-Hao Chiang, et al. ∙

∙ 03/08/2018

Drug Recommendation toward Safe Polypharmacy

Adverse drug reactions (ADRs) induced from high-order drug-drug interact...

0 Wen-Hao Chiang, et al. ∙

∙ 01/23/2018

Drug Selection via Joint Push and Learning to Rank

Selecting the right drugs for the right patients is a primary goal of pr...

0 Yicheng He, et al. ∙

∙ 01/17/2018

ALE: Additive Latent Effect Models for Grade Prediction

The past decade has seen a growth in the development and deployment of e...

0 Zhiyun Ren, et al. ∙

∙ 01/14/2016

Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs

Link prediction, or predicting the likelihood of a link in a knowledge g...

0 Baichuan Zhang, et al. ∙

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