Sinno Jialin Pan

Trustworthy Machine Learning: Robustness, Generalization, and Interpretability
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A Tutorial on Domain Generalization
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Sentiment Analysis in the Era of Large Language Models: A Reality Check
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Pruning via Sparsity-indexed ODE: a Continuous Sparsity Viewpoint
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Distribution Network Fault Identification Based on Wavelet Packet Transform and Semi-supervised Support Vector Machine
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Clustered Task-Aware Meta-Learning by Learning From Learning Paths
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Distribution-Regularized Federated Learning on Non-IID Data
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Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis
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Convergence Analysis of Linear Coupling with Inexact Proximal Operator
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Deep Inductive Logic Reasoning for Multi-Hop Reading Comprehension
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Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition
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Learning Gradient-based Mixup towards Flatter Minima for Domain Generalization
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Modeling Trajectories with Multi-task Learning
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Fast Graph Generation via Spectral Diffusion
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Domain Confused Contrastive Learning for Unsupervised Domain Adaptation
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Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities
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Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning
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A Broadband Current Sensing Device Based on Tunnel Junction Magnetoresistance Sensor for Smart Grid Applications
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A New Current Measurement Method Based on Circular Tunneling Magnetoresistive Sensor Array
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EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting
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Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems
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Variational Deep Logic Network for Joint Inference of Entities and Relations
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Sequential Generative Exploration Model for Partially Observable Reinforcement Learning
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AdaRNN: Adaptive Learning and Forecasting of Time Series
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Weakly-supervised sensor-based activity segmentation and recognition via learning from distributions
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Drug-loading colloidal gels assembled from polymeric nanoparticles as an anti-inflammatory platform
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Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition
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Weakly-Supervised Cross-Domain Road Scene Segmentation via Multi-Level Curriculum Adaptation
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Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions
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Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks
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Partial discharge diagnosis based on TMR magnetic field sensor
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Transfer Learning in Dialogue Systems
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Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11–14, 2020, Proceedings, Part I
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Deep Weighted MaxSAT for Aspect-based Opinion Extraction
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Syntactically Meaningful and Transferable Recursive Neural Networks for Aspect and Opinion Extraction
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Communication-Efficient Distributed PCA by Riemannian Optimization
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Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning
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Transfer Learning in Natural Language Processing
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Communication-Efficient Distributed PCA by Riemannian Optimization
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Heterogeneous Domain Adaptation via Nonlinear Matrix Factorization
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Model-Based Transfer Learning
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AutoTL: Learning to Transfer Automatically
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Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11–14, 2020, Proceedings, Part II
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Transfer Learning in Recommender Systems
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Reinforcement Learning with Efficient Active Feature Acquisition
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Feature-Based Transfer Learning
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Transfer Learning in Reinforcement Learning
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Transfer Learning
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Privacy-Preserving Transfer Learning
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Multi-class Heterogeneous Domain Adaptation
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Transfer Value Iteration Networks
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Distribution-Based Semi-Supervised Learning for Activity Recognition
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Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding
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Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data
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Accelerate Learning of Deep Hashing With Gradient Attention
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Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion Extraction
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A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition
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Learning-Based Outdoor Localization Exploiting Crowd-Labeled WiFi Hotspots
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MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization
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Communication-efficient distributed multi-task learning with matrix sparsity regularization
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Integrating Deep Learning with Logic Fusion for Information Extraction
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Effects of size, species and adjacent lamina on moisture related strain in glulam
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A deep learning framework for Hybrid Heterogeneous Transfer Learning
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Sequence-level Intrinsic Exploration Model for Partially Observable Domains
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Cooperative Pruning in Cross-Domain Deep Neural Network Compression
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Sensor-Based Activity Recognition via Learning From Distributions
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Design and construction of long-span single-layer dome structures by direct analysis
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Memory networks for fine-grained opinion mining
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Transition-based Adversarial Network for Cross-lingual Aspect Extraction
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Domain Adaptive Semantic Segmentation Through Structure Enhancement
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Domain Generalization with Adversarial Feature Learning
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Analysis With Histogram of Connectivity: For Automated Evaluation of Piping Layout
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Transfer Learning with PipNet: For Automated Visual Analysis of Piping Design
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SC2Net: Sparse LSTMs for Sparse Coding
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Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-Extraction
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Data Poisoning Attacks on Multi-Task Relationship Learning
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Design of Battery Parameter Analysis Device Based on Labview
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Counting via LED sensing: Inferring occupancy using lighting infrastructure
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WOLoc: WiFi-only outdoor localization using crowdsensed hotspot labels
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Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay
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Hashing Over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning
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Distant Domain Transfer Learning
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Multi-task memory networks for category-specific aspect and opinion terms co-extraction
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Distributed Multi-Task Relationship Learning
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Adaptive Group Sparse Multi-task Learning via Trace Lasso
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A Unified Framework for Metric Transfer Learning
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Supervised Representation Learning with Double Encoding-Layer Autoencoder for Transfer Learning
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An End-to-End Sparse Coding
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Adaptive Group Sparse Multitask Learning via Trace Lasso Sulin
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Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
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CeilingSee: Device-free occupancy inference through lighting infrastructure based LED sensing
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A unified framework of active transfer learning for cross-system recommendation
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Communication-Efficient Distributed Primal-Dual Algorithm for Saddle Point Problem
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Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms
2017398 citationsauthor #2
Multi-task Coupled Attentions for Category-specific Aspect and Opinion Terms Co-extraction
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Outdoor localization using hotspot labels
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Automated design evaluation on layout of Piping and Instrumentation Diagram using Histogram of Connectivity
20169 citationsauthor #3
Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis
2016385 citationsauthor #2
Ensemble of Anchor Adapters for Transfer Learning
20166 citationsauthor #3
Class-Wise Supervised Hashing with Label Embedding and Active Bits
201612 citationsauthor #2

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