Sinno Jialin Pan

Affiliations:
  • Nanyang Technological University, Singapore


According to our database1, Sinno Jialin Pan authored at least 132 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Clustered Task-Aware Meta-Learning by Learning From Learning Paths.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Multilingual Jailbreak Challenges in Large Language Models.
CoRR, 2023

Sentiment Analysis in the Era of Large Language Models: A Reality Check.
CoRR, 2023

A Tutorial on Domain Generalization.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Retaining Beneficial Information from Detrimental Data for Neural Network Repair.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Trustworthy Machine Learning: Robustness, Generalization, and Interpretability.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Pruning via Sparsity-indexed ODE: a Continuous Sparsity Viewpoint.
Proceedings of the International Conference on Machine Learning, 2023

Distribution-Regularized Federated Learning on Non-IID Data.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Deep Multitask Learning with Progressive Parameter Sharing.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SOUL: Towards Sentiment and Opinion Understanding of Language.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
On Acceleration for Convex Composite Minimization with Noise-Corrupted Gradients and Approximate Proximal Mapping.
J. Mach. Learn. Res., 2022

Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Fast Graph Generation via Spectral Diffusion.
CoRR, 2022

Learning Gradient-based Mixup towards Flatter Minima for Domain Generalization.
CoRR, 2022

Convergence Analysis of Linear Coupling with Inexact Proximal Operator.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Domain Confused Contrastive Learning for Unsupervised Domain Adaptation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Modeling Trajectories with Multi-task Learning.
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Deep Inductive Logic Reasoning for Multi-Hop Reading Comprehension.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Weakly-Supervised Cross-Domain Road Scene Segmentation via Multi-Level Curriculum Adaptation.
IEEE Trans. Circuits Syst. Video Technol., 2021

Variational Deep Logic Network for Joint Inference of Entities and Relations.
Comput. Linguistics, 2021

Weakly-supervised sensor-based activity segmentation and recognition via learning from distributions.
Artif. Intell., 2021

Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

AdaRNN: Adaptive Learning and Forecasting of Time Series.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Sequential Generative Exploration Model for Partially Observable Reinforcement Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Heterogeneous Domain Adaptation via Nonlinear Matrix Factorization.
IEEE Trans. Neural Networks Learn. Syst., 2020

Communication-efficient distributed multi-task learning with matrix sparsity regularization.
Mach. Learn., 2020

Reinforcement Learning with Efficient Active Feature Acquisition.
CoRR, 2020

Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Communication-Efficient Distributed PCA by Riemannian Optimization.
Proceedings of the 37th International Conference on Machine Learning, 2020

Deep Weighted MaxSAT for Aspect-based Opinion Extraction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Integrating Deep Learning with Logic Fusion for Information Extraction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Transfer Value Iteration Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Learning-Based Outdoor Localization Exploiting Crowd-Labeled WiFi Hotspots.
IEEE Trans. Mob. Comput., 2019

Multi-class Heterogeneous Domain Adaptation.
J. Mach. Learn. Res., 2019

Syntactically Meaningful and Transferable Recursive Neural Networks for Aspect and Opinion Extraction.
Comput. Linguistics, 2019

A deep learning framework for Hybrid Heterogeneous Transfer Learning.
Artif. Intell., 2019

MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Cooperative Pruning in Cross-Domain Deep Neural Network Compression.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Accelerate Learning of Deep Hashing With Gradient Attention.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion Extraction.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Distribution-Based Semi-Supervised Learning for Activity Recognition.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Supervised Representation Learning with Double Encoding-Layer Autoencoder for Transfer Learning.
ACM Trans. Intell. Syst. Technol., 2018

Analysis With Histogram of Connectivity: For Automated Evaluation of Piping Layout.
IEEE Trans Autom. Sci. Eng., 2018

Counting via LED sensing: Inferring occupancy using lighting infrastructure.
Pervasive Mob. Comput., 2018

Memory networks for fine-grained opinion mining.
Artif. Intell., 2018

Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Transition-based Adversarial Network for Cross-lingual Aspect Extraction.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Domain Adaptive Semantic Segmentation Through Structure Enhancement.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Domain Generalization With Adversarial Feature Learning.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Transfer Learning with PipNet: For Automated Visual Analysis of Piping Design.
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-Extraction.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

SC2Net: Sparse LSTMs for Sparse Coding.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Data Poisoning Attacks on Multi-Task Relationship Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Sensor-Based Activity Recognition via Learning From Distributions.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A Unified Framework for Metric Transfer Learning.
IEEE Trans. Knowl. Data Eng., 2017

Hashing Over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning.
CoRR, 2017

Multi-task Coupled Attentions for Category-specific Aspect and Opinion Terms Co-extraction.
CoRR, 2017

A unified framework of active transfer learning for cross-system recommendation.
Artif. Intell., 2017

Communication-Efficient Distributed Primal-Dual Algorithm for Saddle Point Problem.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

CeilingSee: Device-free occupancy inference through lighting infrastructure based LED sensing.
Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications, 2017

Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Distributed Multi-Task Relationship Learning.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

WOLoc: WiFi-only outdoor localization using crowdsensed hotspot labels.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

Adaptive Group Sparse Multi-task Learning via Trace Lasso.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Distant Domain Transfer Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
HYDRA: Massively Compositional Model for Cross-Project Defect Prediction.
IEEE Trans. Software Eng., 2016

Transfer Hashing with Privileged Information.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Matrix Factorization+ for Movie Recommendation.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Collaborative Evolution for User Profiling in Recommender Systems.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Class-Wise Supervised Hashing with Label Embedding and Active Bits.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Ensemble of Anchor Adapters for Transfer Learning.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Automated design evaluation on layout of Piping and Instrumentation Diagram using Histogram of Connectivity.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2016

Transfer Learning for Cross-Language Text Categorization through Active Correspondences Construction.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
The Pareto Principle Is Everywhere: Finding Informative Sentences for Opinion Summarization Through Leader Detection.
Proceedings of the Recommendation and Search in Social Networks, 2015

Supervised Representation Learning: Transfer Learning with Deep Autoencoders.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Short and Sparse Text Topic Modeling via Self-Aggregation.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Heterogeneous Multi-task Semantic Feature Learning for Classification.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Semi-supervised Domain Adaptation on Manifolds.
IEEE Trans. Neural Networks Learn. Syst., 2014

Adaptation Regularization: A General Framework for Transfer Learning.
IEEE Trans. Knowl. Data Eng., 2014

Extended Spectral Regression for efficient scene recognition.
Pattern Recognit., 2014

Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Riemannian Pursuit for Big Matrix Recovery.
Proceedings of the 31th International Conference on Machine Learning, 2014

Exploiting Social Relations and Sentiment for Stock Prediction.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Heterogeneous Domain Adaptation for Multiple Classes.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Hybrid Heterogeneous Transfer Learning through Deep Learning.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Source Free Transfer Learning for Text Classification.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Transfer Learning.
Proceedings of the Data Classification: Algorithms and Applications, 2014

2013
Transfer joint embedding for cross-domain named entity recognition.
ACM Trans. Inf. Syst., 2013

Transfer learning with applications on text, sensors and images.
Proceedings of the 2nd Workshop on Machine Learning for Interactive Systems, 2013

Transfer defect learning.
Proceedings of the 35th International Conference on Software Engineering, 2013

Predicting user activity level in social networks.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Graph-based informative-sentence selection for opinion summarization.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Active Transfer Learning for Cross-System Recommendation.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Tracking Mobile Users in Wireless Networks via Semi-Supervised Colocalization.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Multi-view Positive and Unlabeled Learning.
Proceedings of the 4th Asian Conference on Machine Learning, 2012

Multi-domain active learning for text classification.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Cross-Domain Co-Extraction of Sentiment and Topic Lexicons.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
Domain Adaptation via Transfer Component Analysis.
IEEE Trans. Neural Networks, 2011

Multitask Learning for Protein Subcellular Location Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011

A Unified Event Coreference Resolution by Integrating Multiple Resolvers.
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

Source-Selection-Free Transfer Learning.
Proceedings of the IJCAI 2011, 2011

Artificial neural network based intracranial pressure mean forecast algorithm for medical decision support.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Heterogeneous Transfer Learning for Image Classification.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
A Survey on Transfer Learning.
IEEE Trans. Knowl. Data Eng., 2010

Cross-domain sentiment classification via spectral feature alignment.
Proceedings of the 19th International Conference on World Wide Web, 2010

Adaptive Transfer Learning.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Knowledge Transfer among Heterogeneous Information Networks.
Proceedings of the ICDM Workshops 2009, 2009

2008
Estimating Location Using Wi-Fi.
IEEE Intell. Syst., 2008

Digital Wall: A Power-efficient Solution for Location-based Data Sharing.
Proceedings of the Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom 2008), 2008

Real world activity recognition with multiple goals.
Proceedings of the UbiComp 2008: Ubiquitous Computing, 10th International Conference, 2008

Transferring Multi-device Localization Models using Latent Multi-task Learning.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Transferring Localization Models across Space.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Transfer Learning via Dimensionality Reduction.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Mining competent case bases for case-based reasoning.
Artif. Intell., 2007

Domain-constrained semi-supervised mining of tracking models in sensor networks.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Online Co-Localization in Indoor Wireless Networks by Dimension Reduction.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Adaptive Localization in a Dynamic WiFi Environment through Multi-view Learning.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2005
Preprocessing Time Series Data for Classification with Application to CRM.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005


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