Tyler Derr - News Before Current Year

12/2024: Honored to receive the NVIDIA Academic Grant Program Award for our project ‘‘Cyclic Peptide Design with NVIDIA's BioNeMo Platform’’

12/2024: PhD student Bo Ni's first paper since joining NDS ‘‘Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective’’ is accepted at AAAI2025

12/2024: BS student Leyao Wang received an Honorable Mention for the 2024-2025 CRA Outstanding Undergraduate Researcher Award

12/2024: Congratulations to the two teams from my course, Project in Data Centric-AI and Mining, who won 1st and 3rd place FortyAU Awards out of 44 teams in Vanderbilt's CS Immersion Showcase

112024: PhD student Yunchao (Lance) Liu successfully defended his PhD dissertation ‘‘Geometric Deep Learning in Drug Discovery’’ – congratulations, Dr. Liu! Next Position: Computational ScientistPostdoc at Broad Institute of MIT and Harvard

11/2024: Preprint ‘‘SuperWater: Predicting Water Molecule Positions on Protein Structures by Generative AI’’

11/2024: Preprint ‘‘Personalization of Large Language Models: A Survey’’

11/2024: Gave an invited talk ‘‘Data Quality-Aware Graph Machine Learning’’ in the College of Computing and Data Science at Nanyang Technological University

10/2024: Preprint ‘‘A Comprehensive Analysis of Social Tie Strength: Definitions, Prediction Methods, and Future Directions’’

10/2024: Preprint ‘‘Large Language Model-based Augmentation for Imbalanced Node Classification on Text-Attributed Graphs’’

10/2024: Gave an invited keynote ‘‘Demystifying the Node-Level Link Prediction Variability of Graph Neural Networks’’ at the Online and Adaptive Recommender Systems (OARS) Workshop at CIKM2024

10/2024: Gave an invited talk ‘‘Ethical AI in Recommender Systems: Fairness, Diversity, and Explainability’’ at the Knowledge Graphs for Responsible AI (KG-STAR) Workshop at CIKM2024

10/2024: We presented our tutorial on Data Quality-Aware Graph Machine Learning at CIKM2024

10/2024: Our paper ‘‘Edge Classification on Graphs: New Directions in Topological Imbalance’’ is accepted at WSDM2025

10/2024: Gave an invited talk ‘‘Demystifying the Node-Level Link Prediction Variability of Graph Neural Networks’’ in the Vanderbilt Graph Theory and Combinatorics Seminar

10/2024: Preprint ‘‘Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective’’

9/2024: Our paper WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking is accepted at NeurIPS2024

9/2024: Our paper FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection is accepted at NeurIPS2024

9/2024: Our paper Robust Graph Neural Networks via Unbiased Aggregation is accepted at NeurIPS2024

9/2024: PhD student Anne Tumlin's first paper since joining NDS ‘‘FairNNV: The Neural Network Verification Tool For Certifying Fairness’’ is accepted at ACM Conference on AI in Finance (ICAIF2024)

8/2024: Our paper ‘‘A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications’’ is accepted at IEEE TKDE

8/2024: Invited to serve as Associate Editor for ACM Transactions on Knowledge Discovery from Data (TKDD)

8/2024: Gave an invited keynote ‘‘Ethical AI in Recommender Systems: Fairness, Diversity, and Explainability’’ at the Ethical Artificial Intelligence Methods and Applications (EAI-KDD) Workshop at KDD2024

8/2024: Preprint ‘‘A Survey of Mamba’’

8/2024: Invited to serve as Doctoral Forum Chair for SDM2025

8/2024: Gave an invited talk ‘‘Data Quality-Aware Graph Machine Learning’’ in the School of Data Science at The Chinese University of Hong Kong, Shenzhen in their Discover CUHK-Shenzhen-ZJU Elite Students Summer Camp

8/2024: Visited The Hong Kong Polytechnic University (PolyU)

7/2024: Our paper ‘‘Augmenting Textual Generation via Topology Aware Retrieval’’ is accepted at CIKM2024

7/2024: Taught an invited seminar series on Social Network Analysis at Beijing Jiaotong University

7/2024: Our tutorial ‘‘Data-Quality-Aware Graph Machine Learning’’ is accepted at CIKM2024

7/2024: Our paper ‘‘EDGE-UP: Enhanced Dynamic GNN Ensemble for Unfollow Prediction in Online Social Networks’’ is accepted at ASONAM2024

6/2024: Our dataset and interactive visualization for early freeway traffic anomalous event detection (FT-AED) is now available (link), which is the first large-scale lane-level freeway traffic dataset for anomaly detection

6/2024: Preprint ‘‘FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection’’

6/2024: Preprint ‘‘Edge Classification on Graphs: New Directions in Topological Imbalance’’

6/2024: Awarded NSF grant to support student travel for US-based students to attend KDD2024

6/2024: Our LGGM Text2Graph Generation demo is now live, which is the first large graph generative model that supports generating graphs from textual descriptions

6/2024: Preprint ‘‘Large Graph Generative Models’’

5/2024: Preprint ‘‘Augmenting Textual Generation via Topology Aware Retrieval’’

5/2024: Invited to serve as Student Travel Chair for WSDM2025

4/2024: PhD student Yunchao (Lance) Liu's team won 1st place in the AI Showcase at VU Data Science Institute presenting the project DiffWater

4/2024: We presented out tutorial on Data Quality-Aware Graph Machine Learning at SDM2024

4/2024: PhD student Yu Wang received the Best Doctoral Forum Poster Runner-Up award at SDM2024

4/2024: PhD student Anne Tumlin was awarded the Department of Energy (DOE) Computational Science Graduate Fellowship!

4/2024: Our paper ‘‘Fairness and Diversity in Recommender Systems: A Survey’’ is accepted at ACM TIST

3/2024: MS student Catherine Yang successfully defended her MS thesis ‘‘An Analysis of Local Neighborhood-based Paradoxes in Signed Social Networks’’ – congratulations! Next Position: Software Engineer at Microsoft

3/2024: PhD student Yu Wang was awarded Vanderbilt's Outstanding Doctoral Student Award (one of three for the whole university)

3/2023: Invited to serve as Student Travel Chair for CIKM2024

3/2024: PhD student Yu Wang will be joining University of Oregon as a Tenure-track Assistant Professor in Computer Science starting in Fall’24 - congratulations, Prof. Wang!

2/2024: Congratulations to Laura Wang who was selected for the Vanderbilt Undergraduate Summer Research Program (VUSRP) for her proposed research in the NDS Lab

2/2024: Our paper ‘‘Knowledge Graph-based Session Recommendation with Session-Adaptive Propagation’’ in collaboration with The Home Depot is accepted at WWW2024

1/2024: Our paper ‘‘Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness’’ in collaboration with Visa Research is accepted at WWW2024

1/2024: Gave an invited talk ‘‘Network Science for Social Good’’ in the Frist Center Salon Series

1/2024: Our paper A Topological Perspective on Demystifying GNN-Based Link Prediction Performance in collaboration with Snap Inc. is accepted at ICLR2024

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

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

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

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

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

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)

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

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