Publications

Phosformer: An explainable Transformer model for protein kinase-specific phosphorylation predictions
Fair Attribute Completion on Graph with Missing Attributes
Better Generative Replay for Continual Federated Learning
Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer
Estimating Propensity Scores with Deep Adaptive Variable Selection
XDC: Adaptive Cross Domain Short Text Clustering
Continual Causal Inference with Incremental Observational Data
Tree Visualizations of Protein Sequence Embedding Space Enable Improved Functional Clustering of Diverse Protein Superfamilies
Alignment-Free Estimation of Sequence Conservation for Identifying Functional Sites Using Protein Sequence Embeddings
Continual Causal Inference: Challenges and Opportunities
Pigmentation-based Visual Learning for Salvelinus fontinalis Individual Re-identification
Improving Robustness of Vision Transformers via Data-Augmented Virtual Adversarial Training
Unbiasing Scene Graph Generation with Explicit Ontological Adjustment
Concept-Level Model Interpretation from the Causal Aspect
Hierarchical Capsule Prediction Network for Marketing Campaigns Effect
ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition
Pairwise Adversarial Training for Unsupervised Class-imbalanced Domain Adaptation
Self-supervision based Semantic Alignment for Unsupervised Domain Adaptation
Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Observational Data
Collaborative Attention Mechanism for Multi-Modal Time Series Classification
AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition
Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials
Adversarial Adaptive Cross Domain Face Clustering
CrossMatch: Cross-Classifier Consistency Regularization for Open-Set Single Domain Generalization
Cross-Domain Graph Convolutions for Adversarial Unsupervised Domain Adaptation
Self-supervised Universal Domain Adaptation with Adaptive Memory Separation
An Application in Modeling Lake and River Systems
A Framework for Knowledge-Derived Query Suggestions
Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data
Mapping the glycosyltransferase fold landscape using interpretable deep learning
Automated Graph Learning via Population Based Self-Tuning GCN
2.5D Pose Guided Human Image Generation
Exploiting Auxiliary Data for Offensive Language Detection with Bidirectional Transformers
Enriching Knowledge Graph Embeddings with External Text
Correlative Channel-Aware Fusion for Multi-View Time Series Classification
Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation
Transferable Feature Learning on Graphs Across Visual Domains
Socially Aware Multimodal Deep Neural Networks for Fake News Classification
Knowledge-Guided Article Embedding Refinement for Session-based News Recommendation
A Survey on Causal Inference
Quantitative Structure–Mutation–Activity Relationship Tests (QSMART) model for protein kinase inhibitor response prediction
Learning Discriminative Virtual Sequences for Time Series Classification
Matching in Selective and Balanced Representation Space for Treatment Effects Estimation
Context-aware Graph Embedding for Session-based News Recommendation
Deep evolutionary analysis reveals the design principles of fold A glycosyltransferases
Co-embedding of Nodes and Edges with Graph Neural Networks
Causal Inference Meets Machine Learning
A Survey on Representation Learning for User Modeling
Adaptively Similarity-preserved Representation Learning for Individual Treatment Effect Estimation
Adaptive Structure-Constrained Robust Latent Low-Rank Coding for Image Recovery
Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space
Low-Rank Analysis–Synthesis Dictionary Learning with Adaptively Ordinal Locality
Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation
Witness Detection in Multi-Instance Regression and Its Application for Age Estimation
Smart Home Monitoring System via Footstep Induced Vibrations
Flexible Auto-weighted Local-coordinate Concept Factorization
Training Streaming Factorization Machines with Alternating Least Squares
SADIH: Semantic-Aware DIscrete Hashing
Robust Unsupervised Flexible Auto-weighted Local-Coordinate Concept Factorization for Image Clustering
Convolution with Edge-Node Switching in Graph Neural Networks
On the Estimation of Treatment Effect with Text Covariates
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning
Towards Interpretable User Modeling via Recurrent Semantics Memory Unit
Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training?
Marginalized Multi-View Ensemble Clustering
Scene Graph Generation with External Knowledge and Image Reconstruction
Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior
Survey of Image and Video Captioning
Robust Spectral Ensemble Clustering via Rank Minimization
Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection
Supervised Transfer Learning for Product Information Question Answering
Generic Embedded Semantic Dictionary for Robust Multi-label Classification
Towards Resolution-Invariant Person Re-identification via Projective Dictionary Learning
Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation
Representation Learning for Treatment Effect Estimation from Observational Data
Robust Locality-Constrained Label Consistent KSVD by Joint Sparse Embedding
Robust Projective Low-Rank and Sparse Representation by Robust Dictionary Learning
Robust Adaptive Label Propagation by Double Matrix Decomposition
A Review on Deep Learning Techniques Applied to Answer Selection
Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation
A Simple End-to-End Question Answering Model for Product Information
Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation
Contextual Collaborative Filtering for Student Response Prediction in Mixed-Format Tests
Discriminative Semi-coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification
Latent Discriminant Subspace Representations for Multi-view Outlier Detection
Early Recognition of 3D Human Actions
Multi-View Low-Rank Analysis with Applications to Outlier Detection
Robust Multi-Label Semi-Supervised Classification
Multi-View Graph Learning with Adaptive Label Propagation
Stacked Denoising Tensor Auto-Encoder for Action Recognition with Spatiotemporal Corruptions
Matching on Balanced Nonlinear Representations for Treatment Effects Estimation
Person Re-identification by Cross-View Multi-Level Dictionary Learning
From Ensemble Clustering to Multi-View Clustering
Infinite Ensemble Clustering
SLMOML: Online Metric Learning with Global Convergence
Videography-Based Unconstrained Video Analysis
Self-Taught Low-Rank Coding for Visual Learning
Multi-View Time Series Classification: A Discriminative Bilinear Projection Approach
Robust Spectral Ensemble Clustering
Infinite Ensemble for Image Clustering
Matching via Dimensionality Reduction for Estimation of Treatment Effects in Digital Marketing Campaigns
Learning Robust Representations for Data Analytics
Learning Robust and Discriminative Subspace with Low-Rank Constraints