Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction. - Sungyong Seo; Jing Huang 019; Hao Yang 007; Yan Liu 002 (RecSys, 2017)

Dynamic Graph Representation Learning via Self-Attention Networks. - Aravind Sankar; Yanhong Wu; Liang Gou; Wei Zhang 189; Hao Yang 007 (CoRR, 2018)

GANViz: A Visual Analytics Approach to Understand the Adversarial Game. - Junpeng Wang 001; Liang Gou; Hao Yang 007; Han-Wei Shen (IEEE Trans. Vis. Comput. Graph., 2018)

motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks. - Manoj Reddy Dareddy; Mahashweta Das; Hao Yang 007 (IEEE BigData, 2019)

DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks. - Junpeng Wang 001; Liang Gou; Han-Wei Shen; Hao Yang 007 (IEEE Trans. Vis. Comput. Graph., 2019)

DeepVID: Deep Visual Interpretation and Diagnosis for Image Classifiers via Knowledge Distillation. - Junpeng Wang 001; Liang Gou; Wei Zhang 189; Hao Yang 007; Han-Wei Shen (IEEE Trans. Vis. Comput. Graph., 2019)

SCANViz: Interpreting the Symbol-Concept Association Captured by Deep Neural Networks through Visual Analytics. - Junpeng Wang 001; Wei Zhang 189; Hao Yang 007 (PacificVis, 2020)

Magellan: A Personalized Travel Recommendation System Using Transaction Data. - Konik Kothari; Dhruv Gelda; Wei Zhang 189; Hao Yang 007 (CIKM, 2020)

Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study. - Dinh-Luan Nguyen; Sunpreet S. Arora; Yuhang Wu 002; Hao Yang 007 (CVPR Workshops, 2020)

Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation. - Adit Krishnan; Mahashweta Das; Mangesh Bendre; Hao Yang 007; Hari Sundaram (SIGIR, 2020)

GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation. - Aravind Sankar; Yanhong Wu; Yuhang Wu 002; Wei Zhang 189; Hao Yang 007; Hari Sundaram (SIGIR, 2020)

DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks. - Aravind Sankar; Yanhong Wu; Liang Gou; Wei Zhang 189; Hao Yang 007 (WSDM, 2020)

OutfitNet: Fashion Outfit Recommendation with Attention-Based Multiple Instance Learning. - Yusan Lin; Maryam Moosaei; Hao Yang 007 (WWW, 2020)

Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study. - Luan Nguyen; Sunpreet S. Arora; Yuhang Wu 002; Hao Yang 007 (CoRR, 2020)

Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions. - Yuhang Wu 002; Sunpreet S. Arora; Yanhong Wu; Hao Yang 007 (AAAI, 2021)

Investigating the Evolution of Tree Boosting Models with Visual Analytics. - Junpeng Wang 001; Wei Zhang 189; Liang Wang 047; Hao Yang 007 (PacificVis, 2021)

Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection. - Lan Wang; Yusan Lin; Yuhang Wu 002; Huiyuan Chen; Fei Wang 062; Hao Yang 007 (IEEE BigData, 2021)

Adversarial Example Detection Using Latent Neighborhood Graph. - Ahmed Abusnaina; Yuhang Wu 002; Sunpreet S. Arora; Yizhen Wang; Fei Wang 062; Hao Yang 007; David Mohaisen (ICCV, 2021)

Tops, Bottoms, and Shoes: Building Capsule Wardrobes via Cross-Attention Tensor Network. - Huiyuan Chen; Yusan Lin; Fei Wang 062; Hao Yang 007 (RecSys, 2021)

Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems. - Huiyuan Chen; Lan Wang; Yusan Lin; Chin-Chia Michael Yeh; Fei Wang 062; Hao Yang 007 (SIGIR, 2021)

GPR: Global Personalized Restaurant Recommender System Leveraging Billions of Financial Transactions. - Mangesh Bendre; Mahashweta Das; Fei Wang 062; Hao Yang 007 (WSDM, 2021)

Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection. - Yuhang Wu 002; Mengting Gu; Lan Wang; Yusan Lin; Fei Wang 062; Hao Yang 007 (CoRR, 2021)

How Does Adversarial Fine-Tuning Benefit BERT? - Javid Ebrahimi; Hao Yang 007; Wei Zhang 189 (CoRR, 2021)

Event2Graph: Event-driven Bipartite Graph for Multivariate Time Series Forecasting and Anomaly Detection. - Yuhang Wu 002; Mengting Gu; Lan Wang; Yusan Lin; Fei Wang 062; Hao Yang 007 (AMLTS, 2022)

bigg2vec: Fast and Memory-Efficient Representation Learning for Billion-Scale Graphs on a Single Machine. - Mangesh Bendre; Mahashweta Das; Vineeth Rakesh; Fei Wang 062; Hao Yang 007 (IEEE Big Data, 2022)

SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction. - Xiaoting Li 001; Yuhang Wu 002; Vineeth Rakesh; Yusan Lin; Hao Yang 007; Fei Wang 062 (CIKM, 2022)

OutfitGAN: Learning Compatible Items for Generative Fashion Outfits. - Maryam Moosaei; Yusan Lin; Ablaikhan Akhazhanov; Huiyuan Chen; Fei Wang 062; Hao Yang 007 (CVPR Workshops, 2022)

Semi-supervised Context Discovery for Peer-Based Anomaly Detection in Multi-layer Networks. - Bo Dong; Yuhang Wu 002; Micheal Yeh; Yusan Lin; Yuzhong Chen; Hao Yang 007; Fei Wang 062; Wanxin Bai; Krupa Brahmkstri; Yimin Zhang 002; Chinna Kummitha; Verma Abhisar (ICICS, 2022)

Normalization of Language Embeddings for Cross-Lingual Alignment. - Prince Osei Aboagye; Yan Zheng 001; Chin-Chia Michael Yeh; Junpeng Wang 001; Wei Zhang 189; Liang Wang 047; Hao Yang 007; Jeff M. Phillips (ICLR, 2022)

Few-Shot Link Prediction with Domain-Agnostic Graph Embedding. - Hao Zhu; Mahashweta Das; Mangesh Bendre; Fei Wang 062; Hao Yang 007; Soha Hassoun (ICMLA, 2022)

Multi-task Knowledge Graph Representations via Residual Functions. - Adit Krishnan; Mahashweta Das; Mangesh Bendre; Fei Wang 062; Hao Yang 007; Hari Sundaram (PAKDD (1), 2022)

Denoising Self-Attentive Sequential Recommendation. - Huiyuan Chen; Yusan Lin; Menghai Pan; Lan Wang; Chin-Chia Michael Yeh; Xiaoting Li 001; Yan Zheng 001; Fei Wang 062; Hao Yang 007 (RecSys, 2022)

TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems. - Huiyuan Chen; Xiaoting Li 001; Kaixiong Zhou; Xia Hu 001; Chin-Chia Michael Yeh; Yan Zheng 001; Hao Yang 007 (RecSys, 2022)

Adversarial Graph Perturbations for Recommendations at Scale. - Huiyuan Chen; Kaixiong Zhou; Kwei-Herng Lai; Xia Hu 001; Fei Wang 062; Hao Yang 007 (SIGIR, 2022)

Graph Neural Transport Networks with Non-local Attentions for Recommender Systems. - Huiyuan Chen; Chin-Chia Michael Yeh; Fei Wang 062; Hao Yang 007 (WWW, 2022)

Towards Generating Adversarial Examples on Mixed-type Data. - Han Xu; Menghai Pan; Zhimeng Jiang; Huiyuan Chen; Xiaoting Li 001; Mahashweta Das; Hao Yang 007 (CoRR, 2022)

Visual Analytics for RNN-Based Deep Reinforcement Learning. - Junpeng Wang 001; Wei Zhang 189; Hao Yang 007; Chin-Chia Michael Yeh; Liang Wang 047 (IEEE Trans. Vis. Comput. Graph., 2022)

Tackling Diverse Minorities in Imbalanced Classification. - Kwei-Herng Lai; Daochen Zha; Huiyuan Chen; Mangesh Bendre; Yuzhong Chen; Mahashweta Das; Hao Yang 007; Xia Hu 001 (CIKM, 2023)

Probabilistic Masked Attention Networks for Explainable Sequential Recommendation. - Huiyuan Chen; Kaixiong Zhou; Zhimeng Jiang; Chin-Chia Michael Yeh; Xiaoting Li 001; Menghai Pan; Yan Zheng 001; Xia Hu 001; Hao Yang 007 (IJCAI, 2023)

Kernel Ridge Regression-Based Graph Dataset Distillation. - Zhe Xu 007; Yuzhong Chen; Menghai Pan; Huiyuan Chen; Mahashweta Das; Hao Yang 007; Hanghang Tong (KDD, 2023)

Node Classification Beyond Homophily: Towards a General Solution. - Zhe Xu 007; Yuzhong Chen; Qinghai Zhou; Yuhang Wu 002; Menghai Pan; Hao Yang 007; Hanghang Tong (KDD, 2023)

From Trainable Negative Depth to Edge Heterophily in Graphs. - Yuchen Yan; Yuzhong Chen; Huiyuan Chen; Minghua Xu 003; Mahashweta Das; Hao Yang 007; Hanghang Tong (NeurIPS, 2023)

Adversarial Collaborative Filtering for Free. - Huiyuan Chen; Xiaoting Li 001; Vivian Lai; Chin-Chia Michael Yeh; Yujie Fan; Yan Zheng 001; Mahashweta Das; Hao Yang 007 (RecSys, 2023)

Hessian-aware Quantized Node Embeddings for Recommendation. - Huiyuan Chen; Kaixiong Zhou; Kwei-Herng Lai; Chin-Chia Michael Yeh; Yan Zheng 001; Xia Hu 001; Hao Yang 007 (RecSys, 2023)

Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation. - Vivian Lai; Huiyuan Chen; Chin-Chia Michael Yeh; Minghua Xu 003; Yiwei Cai; Hao Yang 007 (RecSys, 2023)

Context-aware Domain Adaptation for Time Series Anomaly Detection. - Kwei-Herng Lai; Lan Wang; Huiyuan Chen; Kaixiong Zhou; Fei Wang 062; Hao Yang 007; Xia Hu 001 (SDM, 2023)

Sharpness-Aware Graph Collaborative Filtering. - Huiyuan Chen; Chin-Chia Michael Yeh; Yujie Fan; Yan Zheng 001; Junpeng Wang 001; Vivian Lai; Mahashweta Das; Hao Yang 007 (SIGIR, 2023)

Knowledge Graph Question Answering with Ambiguous Query. - Lihui Liu; Yuzhong Chen; Mahashweta Das; Hao Yang 007; Hanghang Tong (WWW, 2023)

Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations. - Xiran Fan; Minghua Xu 003; Huiyuan Chen; Yuzhong Chen; Mahashweta Das; Hao Yang 007 (ACL (Findings), 2024)

Privacy-Preserving Financial Anomaly Detection via Federated Learning & Multi-Party Computation. - Sunpreet S. Arora; Andrew Beams; Panagiotis Chatzigiannis; Sebastian Meiser 001; Karan Patel; Srinivasan Raghuraman; Peter Rindal; Harshal Shah; Yizhen Wang; Yuhang Wu 002; Hao Yang 007; Mahdi Zamani (ACSAC Workshops, 2024)

Graph Anomaly Detection with Adaptive Node Mixup. - Qinghai Zhou; Yuzhong Chen; Zhe Xu 007; Yuhang Wu 002; Menghai Pan; Mahashweta Das; Hao Yang 007; Hanghang Tong (CIKM, 2024)

Rethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation. - Jiaqi Wang 002; Yuzhong Chen; Yuhang Wu 002; Mahashweta Das; Hao Yang 007; Fenglong Ma (PAKDD (3), 2024)