Tyler Derr - News Before Current Year

2023

12/2023: Honored to receive Vanderbilt's Provost Immersion Grant for Faculty
12/2023: Our paper ‘‘Knowledge Graph Prompting for Multi-Document Question Answering’’ received the Best Paper Award by the New Frontiers in Graph Learning (GLFrontiers) Workshop at NeurIPS2023
12/2023: Our paper ‘‘Leveraging Opposite Gender Interaction Ratio as a Path Towards Fairness in Online Dating Recommendations Based on User Sexual Orientation’’ is accepted at AAAI2024
12/2023: Our paper ‘‘Knowledge Graph Prompting for Multi-Document Question Answering’’ in collaboration with Adobe Research is accepted at AAAI2024
11/2023: Our tutorial ‘‘Data-Quality-Aware Graph Machine Learning’’ is accepted at SDM2024
11/2023: Invited to serve as Associate Editor for Tsinghua Science and Technology
11/2023: Our paper ‘‘An Analysis of the Dynamics of Ties on Twitter’’ is accepted at IEEE BigData2023
11/2023: Invited to participate in the Global Academic Reputation Survey by Times Higher Education (THE) contributing to the next World University Rankings
11/2023: Preprint ‘‘Robust Graph Neural Networks via Unbiased Aggregation’’
11/2023: Invited to serve as Student Travel Chair for KDD2024
11/2023: Will give an invited keynote at the Graph Techniques for Adversarial Activity Analytics (GTA3) Workshop at IEEE BigData’23
11/2023: Our workshop Machine Learning on Graphs (MLoG) is accepted at WSDM2024 (5th iteration)
11/2023: Our paper ‘‘Knowledge Graph Prompting for Multi-Document Question Answering’’ is accepted by the New Frontiers in Graph Learning (GLFrontiers) Workshop for oral presentation at NeurIPS2023
11/2023: Gave an invited talk ‘‘Data-Centric AI for Real-World Graph Applications’’ in the ORNL Core Universities AI Workshop at Georgia Tech
10/2023: Preprint ‘‘A Topological Perspective on Demystifying GNN-Based Link Prediction Performance’’
10/2023: Invited to serve as Publicity Chair for DSAA2024
10/2023: NeuroGraph datasets are now available in PyG
10/2023: Our paper ‘‘Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation’’ is accepted at IEEE ICMLA2023
9/2023: Our paper ‘‘NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics’’ is accepted at NeurIPS2023 Datasets and Benchmark Track
9/2023: Preprint ‘‘Graph Unlearning: A Review’’
9/2023: Gave an invited talk ‘‘Computational Social Science Topics in the NDS Lab: An Introduction’’ in Vanderbilt's Quantitative Methods Colloquium
9/2023: Gave an invited talk ‘‘Data Quality-Aware Learning on Graphs’’ in the Computer Science Speaker Series at Brandeis University
9/2023: Invited to serve as Associate Editor for IEEE Transactions on Big Data
8/2023: Invited to a small group faculty salon dinner with VU Chancellor Diermeier in the West End Tower
8/2023: Preprint ‘‘A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications’’
8/2023: Gave an invited talk ‘‘Enhancing Graph Neural Networks with Data Quality-Aware Learning’’ at the Institute for Artificial Intelligence, Tsinghua University
8/2023: Preprint ‘‘Knowledge Graph Prompting for Multi-Document Question Answering’’
8/2023: Invited to serve as Student Travel Award Chair of WSDM2024
8/2023: My PhD student Yuying Zhao's KDD2023 Blog article ’'Progress and Promise for The Shifting Landscape of Gender in STEM’’ is now online
7/2023: Preprint ‘‘Fairness and Diversity in Recommender Systems: A Survey’’
7/2023: Gave an invited talk ‘‘A Survey of Recent Machine Learning Frontiers for Advancing Computer-Aided Drug Discovery’’ at the AI for Drug Discovery Workshop held by Meiler Lab
6/2023: Catherine's paper ‘‘The Friendship Paradox: An Analysis on Signed Social Networks with Positive and Negative Links’’ is accepted to KDD2023 Undergraduate Consortium
6/2023: Our paper Fair Online Dating Recommendations for Sexually Fluid Users via Leveraging Opposite Gender Interaction Ratio is accepted by the MLG Workshop at KDD2023
6/2023: Honored to receive the NSF CAREER Award! News @: Vanderbilt's School of Engineering and Frist Center
6/2023: Will give an invited talk ‘‘Towards Data-Centric Graph Learning for Real-World Applications’’ at Max Planck Institute for Mathematics in the Sciences (MPI MiS)
6/2023: Preprint ‘‘NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics’’ with code and data publicly availabe here
6/2023: Gave an invited talk ‘‘Advanced Graph Analytics for Real-World Applications’’ in the Griffiss Institute's Tech Talks at Air Force Research Lab Information Directorate
5/2023: Congratulations to my PhD student Yuying Zhao for being awarded Vanderbilt's C. F. Chen Best Paper Runner-Up Award in Computer Science for her AAAI’23 paper ‘Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations’
4/2023: Congratulations to my PhD student Yu Wang for being awarded Vanderbilt's 2023 Graduate Leadership Anchor Award for Research
4/2023: Our paper ‘‘Adversarial Attacks for Black-box Recommender Systems via Copying Transferable Cross-domain User Profiles’’ is accepted in IEEE TKDE
4/2023: Gave an invited talk ‘‘Creating and Leveraging Knowledge Graphs in Real-World Applications’’ in the Knowledge Graph Day at ACM Web Conference
3/2023: Selected for the Visiting Faculty Research Program (VRFP) of The Air Force Research Laboratory's Information Directorate (AFRL/RI) and Information Institute (II) during Summer 2023
3/2023: Our paper ‘‘ADEPT: Autoencoder with Differentially Expressed Genes and Imputation for a Robust Spatial Transcriptomics Clustering’’ is accepted at RECOMB-Seq 2023 and published in iScience
3/2023: My PhD student Yunchao (Lance) Liu's gave an (recorded) invited talk at Molecular Modeling and Drug Discovery (M2D2) organized by Mila and Valance Discovery presenting our work MolKGNN
3/2023: Our workshop Machine Learning on Graphs (MLoG) is accepted at ICDM2023 (4th iteration)
1/2023: Our paper ‘‘Collaboration-Aware Graph Neural Networks for Recommendation Systems’’ is accepted at ACM Web Conference (WWW2023)
2023: Invited and served (multiple times) as an external reviewer for Research Grants Council (RGC) of Hong Kong during 2023.
2023: Invited (multiple) and served (twice) as a grant proposal panelist for NSF during 2023

2022

12/2022: My PhD student Yu Wang was awarded The American Bureau of Shipping (ABS) Scholarship through Vanderbilt University
11/2022: Gave an invited keynote ‘‘Overcoming Data Quality Issues in Graph Learning’’ in the Knowledge Graph Workshop at ICDM2022
11/2022: Our paper ‘‘Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations’’ is accepted at AAAI2023
11/2022: My PhD student Yunchao (Lance) Liu's first paper since joining NDS ‘‘Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery’’ is accepted at AAAI2023
11/2022: Our extended abstract ‘‘Collaboration-Aware Graph Neural Networks for Recommendation Systems’’ was accepted at Learning on Graphs (LOG) conference
11/2022: Our extended abstract ‘‘Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling’’ was accepted at Learning on Graphs (LOG) conference
11/2022: Gave an invited talk ‘‘Overcoming Data Quality Issues in Graph Learning’’ in AI Seminar at North Carolina State University
11/2022: Gave an invited talk ‘‘Overcoming Data Qaulity Issues in Graph Learning’’ in the Mathematics and Data Science section of Qilu Youth Forum at Shandong University
10/2022: Our paper ‘‘Degree-related Bias in Link Prediction’’ is accepted at IEEE ICDMW2022
10/2022: Gave an invited talk ‘‘Overcoming Data Quality Issues in Graph Learning’’ in the ORNL Core Universities AI Workshop at Virginia Tech
10/2022: Our workshop Machine Learning on Graphs (MLoG) is accepted at WSDM2023 (3rd iteration)
10/2022: Invited to be a judge for VandyHacks 2022 (VU's premier student hackathon)
9/2022: Our paper ‘‘THINK: Temporal Hypergraph Hyperbolic Network’’ is accepted at IEEE ICDM2022
9/2022: Our paper ‘‘Decision Boundaries of Deep Neural Networks’’ is accepted at IEEE ICMLA2022
8/2022: Our paper ‘‘Enhancing Individual Fairness through Propensity Score Matching’’ is accepted at IEEE DSAA2022
8/2022: Preprint ‘‘Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Relationship Modeling in Drug Discovery’’
8/2022: Invited to serve as Social Media and Publicity Chair of KDD2023
8/2022: Gave an invited talk ‘‘Machine Learning on Graphs’’ in the Computer Science and Mathematics Division at Oak Ridge National Laboratory
8/2022: Our paper ‘‘Imbalanced Graph Classification via Graph-of-Graph Neural Networks’’ is accepted at CIKM2022
7/2022: Preprint ‘‘Collaboration-Aware Graph Neural Networks for Recommendation Systems’’
7/2022: Invited to serve as Associate Editor for Elsevier Big Data Research
7/2022: Invited to serve as SPC member for AAAI2023
6/2022: Our paper Distance-wise Prototypical Graph Neural Network for Imbalanced Node Classification is accepted by the MLG Workshop at KDD2022
6/2022: Our workshop Privacy Algorithms in Systems is accepted at CIKM2022
6/2022: My PhD student Yuying Zhao's first paper since joining NDS ‘‘Inferring EHR Utilization Workflows through Audit Logs’’ is accepted at AMIA2022
5/2022: My research was highlighted in VU Provost C. Cybele Raver's keynote at The Vanderbilt Summit on Modern Conflict
5/2022: Our paper ‘‘Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage’’ is accepted at KDD2022
5/2022: Our paper ‘‘On Structural Explanation of Bias in Graph Neural Networks’’ is accepted at KDD2022
5/2022: Our paper ‘‘ChemicalX: A Deep Learning Library for Drug Pair Scoring’’ is accepted at KDD2022 and corresponding open-source library is available here
5/2022: Our workshop Graph Techniques for Adversarial Acticity Analytics (GTA3) was accepted at IEEE BigData2022
5/2022: Congratulations to my student Yu Wang for being awarded Vanderbilt's C. F. Chen Best Paper Award in Computer Science for his paper ‘Tree Decomposed Graph Neural Network’
4/2022: Our workshop Machine Learning on Graphs (MLoG) is accepted at ICDM2022 (2nd iteration)
3/2022: Awarded Outstanding PC Member Award at WSDM2022 (with credit going to NDS subreviewers Yu Wang, Yuying Zhao, Yunchao (Lance) Liu, Zhaoqing Li)
3/2022: Congratulations to my student Yunchao (Lance) Liu for being awarded the Nvidia Academic Hardware Grant for his project on ‘‘Interpretable 3D Graph Neural Networks for Drug Discovery’’
2/2022: Preprint ‘‘ChemicalX: A Deep Learning Library for Drug Pair Scoring’’
2/2022: Accepted to attend the ASEE DELTA Junior Faculty Institute
2/2022: Invited to serve as PC member for WebSci2022 and Graph Learning Workshop@WebConf2022
1/2022: Our book chapter ‘‘Graph Neural Networks: Self-supervised Learning’’ is published in the new edited Springer book ‘‘Graph Neural Networks: Foundations, Frontiers, and Applications’’
1/2022: Invited to serve as SPC member for ICWSM2022
2022: Invited and served (twice) as a grant proposal panelist for NSF during 2022

2021

12/2021: Topic Editor of Machine Learning on Complex Graph - Frontiers in Big Data
12/2021: Preprint ‘‘Imbalanced Graph Classification via Graph-of-Graph Neural Networks’’
12/2021: Introduced CS and AI topics to students at Tohoku International School through Skype a Scientist
11/2021: Invited to serve as SPC member for KDD2022
11/2021: Our workshop ‘‘Machine Learning on Graphs (MLoG)’’ is accepted at WSDM2022
10/2021: Preprint ‘‘Distance-wise Prototypical Graph Neural Network for Imbalanced Node Classification’’
9/2021: Preprint of our review on ‘‘Graph Neural Networks: Self-supervised Learning’’
9/2021: Invited to be a judge for VandyHacks 2021 (VU's premier student hackathon)
9/2021: Invited to serve as PC member for The Web Conference 2022
8/2021: Invited to serve as Social Media and Publicity Chair of KDD2022
8/2021: Invited to serve as PC member for GTA3@BigData2021
8/2021: Invited to serve as SPC member for WSDM2022
8/2021: My PhD student Yu Wang's first paper since joining NDS ‘Tree Decomposed Graph Neural Network’ is accepted at CIKM2021
8/2021: Our paper ‘Graph Feature Gating Networks’ is accepted at CIKM2021
8/2021: Our paper ‘Deep Adversarial Network Alignment’ is accepted at CIKM2021
7/2021: Our paper ‘Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries’ is accepted at ACM Hypertext2021
6/2021: Awarded Best Reviewer Award at ICWSM2021
6/2021: Our paper ‘Interpretable Visual Understanding with Cognitive Attention Network’ is accepted at ICANN2021
6/2021: Invited to serve as PC member for ICLR2021
5/2021: Out paper ‘‘Graph Adversarial Attack via Rewiring’’ is accepted at KDD2021
5/2021: Invited to serve as PC member for IEEE BigData2021 and CIKM2021
4/2021: Invited to serve as PC member for EMNLP2021, IRI2021, and NeurIPS2021
4/2021: Awarded SIAM Early Career Travel Award for SDM2021 supported by NSF
4/2021: Our paper ‘‘Self-supervised Learning on Graphs: Deep Insights and New Directions’’ is accepted at SSL@WWW2021
3/2021: Invited to serve as PC member for GNNSys’21 Workshop @ MLSys’21
2/2021: Invited to serve as Doctoral Consortium Chair of WSDM2022
2/2021: I received the Fall 2020 Innovative Teaching Award from the School of Engineering
1/2021: Invited to serve as PC member for WebSci2021
2021: Invited to serve (twice) as a grant proposal panelist for NSF during 2021

2020

12/2020: Invited to serve as PC member for ICML2021
12/2020: Our paper ‘‘Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach’’ is accepted at AAAI2021
12/2020: Invited to serve as PC member for ACL2021
11/2020: Invited to serve as PC member for KDD2021
11/2020: Introduced CS and AI topics to students at Ardsley High School through Skype a Scientist
11/2020: Panelist on the ‘‘Graduate School is not a Job’’ graduate recruitment event
10/2020: Our paper ‘‘Node Similarity Preserving Graph Convolutional Networks’’ is accepted at WSDM2021
10/2020: Our paper ‘‘CopyAttack: Attacking Black-box Recommendations via Copying Cross-domain User Profiles’’ is accepted at ICDE2021
10/2020: Gave an invited talk ‘‘Navigating the Faculty Job Search’’ in Michigan State's College of Engineering Graduate Lunch & Learn seminar
9/2020: Gave an invited talk ‘‘Graph Neural Networks: Social Networks and Beyond’’ in the Biomedical Engineering Department at Vanderbilt Unv.
9/2020: Gave an invited talk at Change++
9/2020: Our tutorial ‘‘Graph Neural Networks: Models and Applications’’ has been accepted by AAAI2021
9/2020: Preprint ‘‘Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries’’
9/2020: Invited to serve as PC member for IJCAI2021
9/2020: Invited to serve as PC member for WWW2021
9/2020: Our paper ‘‘Understanding and Promoting Teacher Connections in Online Social Media: A Case Study on Pinterest.’’ is accepted at IEEE TALE2020
8/2020: Invited to serve as Proceeding Chair of KDD2021
8/2020: Our paper ‘‘Learning from Incomplete Labeled Data via Adversarial Data Generation’’ is accepted at ICDM2020
8/2020: Invited to serve as PC member for AAAI2021
8/2020: Invited to serve as PC member for GTA3@BigData2020
8/2020: Invited keynote at joint workshops Deep Learning on Graphs: Methods and Applications and Mining and Learning with Graphs at KDD2020
8/2020: Invited to serve as a reviewer for EAAI2021.
8/2020: Awarded KDD2020 Student Registration Award (and partial KDD2021 registation credit) from NSF and SIGKDD
8/2020: I joined Vanderbilt University and established the Network and Data Science (NDS) Lab

Part of 2020

8/2020: I joined Vanderbilt University and established the Network and Data Science (NDS) Lab
7/2020: I successfully defended my PhD Dissertation ‘‘Network Analysis with Negative Links’’!
7/2020: Invited to serve as a reviewer for NeurIPS2020.
6/2020: Preprint ‘‘Self-supervised Learning on Graphs: Deep Insights and New Directions’’
6/2020: Nominated Graduate Panelist for MSU's Office of Undergraduate Research and Creativite Activity's ‘‘Grad Chat’’ summer series
6/2020: Awarded free registration and selected as a volunteer for ICML2020
6/2020: Invited to serve as reviewer for Nature Communications Physics
5/2020: Preprint ‘‘Chat as Expected: Manipulating Black-box Neural Dialogue Models’’
5/2020: Invited to serve as PC member for DLG@KDD2020
5/2020: Invited to serve as PC member for IEEE IRI2020
5/2020: Our tutorial ‘‘Graph Neural Networks: Foundations, Models, and Applications’’ has been accepted at KDD2020
5/2020: Preprint ‘‘Attacking Black-box Recommendations via Copying Cross-domain User Profiles’’
5/2020: Invited to serve as PC member for ICWSM2021
5/2020: Our paper ‘‘Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network’’ is accepted at EDM2020 (Twitter)
4/2020: Our paper ‘‘Towards Improving Sample Representativeness of Teachers on Online Social Media: A Case Study on Pinterest’’ is accepted at AIED2020 (Twitter)
4/2020: Our WIP paper ‘‘Characterizing Teacher Connections in Online Social Media: A Case Study on Pinterest’’ is accepted at L@S2020
4/2020: Invited to serve as PC member for DSHealth@KDD2020
4/2020: Invited to serve as PC member for IEEE BigData2020
3/2020: Invited to serve as reviewer for IEEE Transactions on Knowledge and Data Engineering (TKDE)
2/2020: Invited to serve as reviewer for Data Mining and Knowledge Discovery (DAMI)
2/2020: Our paper ‘‘Link and Interaction Polarity Predictions in Signed Networks’’ is accepted by Springer's Social Network Analysis and Mining (SNAM)
2/2020: Media coverage in ICER Student Highlights article on my work ‘‘Predicting Friends and Foes Online with Deep Learning Models’’
2/2020: Presented ‘‘Analyzing Negative Relations in Social Media’’ in the Graduate Academic Conference at MSU
1/2020: Our paper ‘‘ROSE: Role-based Signed Network Embedding’’ is accepted by The Web Conference 2020
1/2020: Radio show interview with Sci-Files about my research
1/2020: Presenting ‘‘Network Analysis with Negative Links’’ in the MSU CSE Graduate Student Seminar Series
1/2020: Invited to serve as PC member for CIKM2020

2019

12/2019: Preprint ‘‘Characterizing the Decision Boundary of Deep Neural Networks’’
12/2019: Our paper ‘‘A Deep Model for Predicting Online Course Performance’’ is accepted at the AI4EDU@AAAI2020 workshop
12/2019: Invited to serve as PC member for WebSci2020
12/2019: Invited to serve as PC member for IJCAI2020
12/2019: Awarded WSDM2020 Student Travel Award from SIGIR
11/2019: Our paper ‘‘Network Analysis with Negative Links’’ is accepted by WSDM2020 Doctoral Consortium
11/2019: Invited to serve as PC member for DLGMA@AAAI2020
11/2019: Invited to serve as session chair for the ‘‘Network Embedding I’’ research track at CIKM2019
10/2019: Our paper ‘‘Epidemic Graph Convolutional Network’’ is accepted by WSDM2020
10/2019: Awarded the COGS Professional Development Award with fellowship funding from MSU
10/2019: Awarded the COGS Conference Award with fellowship funding from MSU
10/2019: Invited to represent the entire College of Engineering in MSU's Teacher-Scholar Award selction committee
10/2019: Invited to serve as PC member for NMLA@WorldCIST2020
10/2019: Poster Presenation at the Michigan AI Symposium - ‘‘Network Analysis with Negative Links’’
9/2019: Media coverage in The Register for ‘‘Say What I Want: Towards the Dark Side of Neural Dialogue Models’’ (Twitter)
9/2019: Preprint Say What I Want: Towards the Dark Side of Neural Dialogue Models (Twitter)
9/2019: Awarded CIKM2019 Student Travel Award from SIGIR
8/2019: Our paper “Balance in Signed Bipartite Networks” is accepted by CIKM2019 (Twitter)
8/2019: Invited to serve as session chair for both the ‘‘Network Embedding’’ and ‘‘Network Algorithms’’ research tracks at ASONAM2019
8/2019: Invited to serve as PC member for GTA3@BigData2019
7/2019: Invited to serve as PC member for AAAI2020
7/2019: Awarded the MSU Engineering Graduate Leadership Fellowship
6/2019: Preprint Attacking Graph Convolutional Networks via Rewiring
6/2019: Our paper “Multi-Factor Congressional Vote Prediction” is accepted by ASONAM2019
6/2019: Won a Best Revewier Award at ICWSM2019 (Twitter)
6/2019: Invited to serve as PC member for DSHealth@KDD2019
6/2019: Awarded the MSU Education Opportunity Fellowship
5/2019: Started my internship at HRL Laboratories working with Dr. Jiejun Xu and Dr. Kang-Yu (Connie) Ni
5/2019: Won Best Student Poster Award at SDM2019 (Twitter)
5/2019: Our paper “Deep Adversarial Social Recommendation” is accepted by IJCAI2019 (Twitter)
5/2019: Invited to serve as PC member for ICWSM2020
5/2019: Invited to serve as PC member for CIKM2019
5/2019: Invited to serve as PC member for ICANN2019
4/2019: Workshop co-organizer as Publicity Chair for “Deep Graph Learning: Methodologies and Applications” DGLMA’19 @ IEEE BigData
4/2019: Our workshop is accepted by IEEE BigData 2019
4/2019: Volunteered at MSU Science Festival for K-5 students (Twitter)
3/2019: Awarded SDM2019 Student Travel Award with funds from SIAM
3/2019: SDM2019 Doctoral Forum accepted ‘‘Network Analysis with Negative Links’’
3/2019: My advisor Dr. Jiliang Tang was awarded the NSF CAREER award based on my research for signed networks (Details, Twitter)
3/2019: Invited to serve as PC member for IEEE BigData2019
3/2019: Activity leader for the Girls Math & Science Day at MSU (Twitter)
2/2019: I joined the Teachers in Social Media Project at Michigan State University focused on harnessing online social media data for educational research
2/2019: Preprint Deep Adversarial Network Alignment
2/2019: Won “People's Choice” award in the Graduate Academic Conference 3 Minute Thesis Competition at MSU (Twitter)
1/2019: Introduced artificial intelligence to K-12 students at local elementary/middle school (Twitter)

2018

Fall 2018: Invited to serve as session chair for the ICDM2018 PhD Forum.
Fall 2018: Awarded ICDM2018 Student Travel Award
Fall 2018: Invited to serve as PC member for ICWSM2019
Fall 2018: Invited to serve as PC member for IEEE BigData2018
Fall 2018: ICDM2018 PhD Forum accepted ‘‘Congressional Vote Analysis using Signed Networks’’
Fall 2018: Won 2nd prize for my presentation at the Southeast Michigan Postdoctoral Symposium from the University of Michigan Postdoctoral Association
Fall 2018: Awarded CIKM2018 Student Travel Award from SIGIR
Summer 2018: Our paper ‘‘Signed Graph Convolutional Network’’ is accepted by ICDM2018 (preprint here and code here)
Summer 2018: Our paper ‘‘Signed Network Modeling Based on Structural Balance Theory’’ is accepted by CIKM2018 (preprint here)
Summer 2018: Our paper ‘‘Opinions Power Opinions: Joint Link and Interaction Polarity Predictions in Signed Networks’’ is accepted by ASONAM2018
with an extended version found here
Summer 2018: Our paper ‘‘Relevance Measurements in Online Signed Social Networks’’ is accepted by MLG2018
Summer 2018: Invited to serve as session chair for both the ‘‘Ranking & Centrality’’ and ‘‘Modeling II’’ research tracks at ASONAM2018
Summer 2018: Invited as a reviewer for ACM Transactions on Knowledge Discovery from Data (TKDD)
Summer 2018: Awarded MSU CSE Summer Fellowship 2018

2017

Fall 2017: Preprint Signed Node Relevance Measurements.
Summer 2017: Our paper ‘‘Understanding and Predicting Weight Loss with Mobile Social Networking Data’’ is accepted by CIKM2017
Summer 2017: Awarded KDD2017 Student Travel Award
Summer 2017: Awarded MSU CSE Summer Fellowship 2017
Spring 2017: Poster Presentation at the 2017 MSU Graduate Research Symposium
Title: Opinions Power Opinions: Joint Link and Interaction Polarity Prediction in Signed Networks
Spring 2017: Awarded SDM2017 Student Travel Award from SIAM
Spring 2017: SDM2017 Doctoral Forum accepted ‘‘Opinions Power Opinions: Joint Link and Interaction Polarity Predictions in Signed Networks’’
Spring 2017: Invited lecture for the Department of Education at MSU on ‘‘Signed Network Analysis: Community Detection & Link Prediction’’
Spring 2017: Invited lecture for the CSE881 Data Mining course at MSU on ‘‘Similarity Search’’
Spring 2017: I joined the Data Science and Engineering (DSE) Lab