Sinno Jialin Pan

According to our database, Sinno Jialin Pan authored at least 140 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fast Graph Generation via Spectral Diffusion.

Tianze Luo, Zhanfeng Mo, Sinno Jialin Pan

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis.

Ziyan Wang, Mohamed Ragab, Wenmian Yang, Min Wu, Sinno Jialin Pan, Jie Zhang, Zhenghua Chen

IEEE Trans. Instrum. Meas., 2024

Large Language Models Know What Makes Exemplary Contexts.

Quanyu Long, Jianda Chen, Wenya Wang, Sinno Jialin Pan

CoRR, 2024

Decomposing Label Space, Format and Discrimination: Rethinking How LLMs Respond and Solve Tasks via In-Context Learning.

Quanyu Long, Yin Wu, Wenya Wang, Sinno Jialin Pan

CoRR, 2024

Backdoor Attacks on Dense Passage Retrievers for Disseminating Misinformation.

Quanyu Long, Yue Deng, Leilei Gan, Wenya Wang, Sinno Jialin Pan

CoRR, 2024

Graph Principal Flow Network for Conditional Graph Generation.

Zhanfeng Mo, Tianze Luo, Sinno Jialin Pan

Proceedings of the ACM on Web Conference 2024, 2024

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

Wenxuan Zhang, Yue Deng, Bing Liu, Sinno Jialin Pan, Lidong Bing

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Improving the Generalization of Unseen Crowd Behaviors for Reinforcement Learning based Local Motion Planners.

Wen Zheng Terence Ng, Jianda Chen, Sinno Jialin Pan, Tianwei Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network.

Tianze Luo, Zhanfeng Mo, Sinno Jialin Pan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Multilingual Jailbreak Challenges in Large Language Models.

Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Diffusion Model with State Estimation for Degradation-Blind Inverse Imaging.

Liya Ji, Zhefan Rao, Sinno Jialin Pan, Chenyang Lei, Qifeng Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Clustered Task-Aware Meta-Learning by Learning From Learning Paths.

Danni Peng, Sinno Jialin Pan

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

A Tutorial on Domain Generalization.

Jindong Wang, Haoliang Li, Sinno Jialin Pan, Xing Xie

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Retaining Beneficial Information from Detrimental Data for Neural Network Repair.

Long-Kai Huang, Peilin Zhao, Junzhou Huang, Sinno Jialin Pan

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.

Jindong Wang, Haoliang Li, Haohan Wang, Sinno Jialin Pan, Xing Xie

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Pruning via Sparsity-indexed ODE: a Continuous Sparsity Viewpoint.

Zhanfeng Mo, Haosen Shi, Sinno Jialin Pan

Proceedings of the International Conference on Machine Learning, 2023

Distribution-Regularized Federated Learning on Non-IID Data.

Yansheng Wang, Yongxin Tong, Zimu Zhou, Ruisheng Zhang, Sinno Jialin Pan, Lixin Fan, Qiang Yang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Deep Multitask Learning with Progressive Parameter Sharing.

Haosen Shi, Shen Ren, Tianwei Zhang, Sinno Jialin Pan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning.

Quanyu Long, Wenya Wang, Sinno Jialin Pan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SOUL: Towards Sentiment and Opinion Understanding of Language.

Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis.

Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing

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.

Qiang Zhou, Sinno Jialin Pan

J. Mach. Learn. Res., 2022

Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition.

Wang Lu, Jindong Wang, Yiqiang Chen, Sinno Jialin Pan, Chunyu Hu, Xin Qin

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

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

Danni Peng, Sinno Jialin Pan

CoRR, 2022

Convergence Analysis of Linear Coupling with Inexact Proximal Operator.

Qiang Zhou, Sinno Jialin Pan

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning.

Jianda Chen, Sinno Jialin Pan

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.

Quanyu Long, Tianze Luo, Wenya Wang, Sinno Jialin Pan

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.

Kaijun Liu, Sijie Ruan, Qianxiong Xu, Cheng Long, Nan Xiao, Nan Hu, Liang Yu, Sinno Jialin Pan

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.

Jianda Chen, Sinno Jialin Pan

Proceedings of the Tenth International Conference on Learning Representations, 2022

Deep Inductive Logic Reasoning for Multi-Hop Reading Comprehension.

Wenya Wang, Sinno Jialin Pan

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.

Fengmao Lv, Guosheng Lin, Peng Liu, Guowu Yang, Sinno Jialin Pan, Lixin Duan

IEEE Trans. Circuits Syst. Video Technol., 2021

Variational Deep Logic Network for Joint Inference of Entities and Relations.

Wenya Wang, Sinno Jialin Pan

Comput. Linguistics, 2021

Weakly-supervised sensor-based activity segmentation and recognition via learning from distributions.

Hangwei Qian, Sinno Jialin Pan, Chunyan Miao

Artif. Intell., 2021

Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems.

Danni Peng, Sinno Jialin Pan, Jie Zhang, Anxiang Zeng

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.

Tianbo Li, Tianze Luo, Yiping Ke, Sinno Jialin Pan

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.

Razvan-Gabriel Cirstea, Tung Kieu, Chenjuan Guo, Bin Yang, Sinno Jialin Pan

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

AdaRNN: Adaptive Learning and Forecasting of Time Series.

Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang

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.

Haiyan Yin, Jianda Chen, Sinno Jialin Pan, Sebastian Tschiatschek

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition.

Hangwei Qian, Sinno Jialin Pan, Chunyan Miao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks.

Yu Chen, Sinno Jialin Pan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Heterogeneous Domain Adaptation via Nonlinear Matrix Factorization.

Haoliang Li, Sinno Jialin Pan, Shiqi Wang, Alex C. Kot

IEEE Trans. Neural Networks Learn. Syst., 2020

Communication-efficient distributed multi-task learning with matrix sparsity regularization.

Qiang Zhou, Yu Chen, Sinno Jialin Pan

Mach. Learn., 2020

Reinforcement Learning with Efficient Active Feature Acquisition.

Haiyan Yin, Yingzhen Li, Sinno Jialin Pan, Cheng Zhang, Sebastian Tschiatschek

CoRR, 2020

Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning.

Jianda Chen, Shangyu Chen, Sinno Jialin Pan

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.

Long-Kai Huang, Sinno Jialin Pan

Proceedings of the 37th International Conference on Machine Learning, 2020

Deep Weighted MaxSAT for Aspect-based Opinion Extraction.

Meixi Wu, Wenya Wang, Sinno Jialin Pan

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Integrating Deep Learning with Logic Fusion for Information Extraction.

Wenya Wang, Sinno Jialin Pan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Transfer Value Iteration Networks.

Junyi Shen, Hankz Hankui Zhuo, Jin Xu, Bin Zhong, Sinno Jialin Pan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning-Based Outdoor Localization Exploiting Crowd-Labeled WiFi Hotspots.

Jin Wang, Jun Luo, Sinno Jialin Pan, Aixin Sun

IEEE Trans. Mob. Comput., 2019

Multi-class Heterogeneous Domain Adaptation.

Joey Tianyi Zhou, Ivor W. Tsang, Sinno Jialin Pan, Mingkui Tan

J. Mach. Learn. Res., 2019

Syntactically Meaningful and Transferable Recursive Neural Networks for Aspect and Opinion Extraction.

Wenya Wang, Sinno Jialin Pan

Comput. Linguistics, 2019

A deep learning framework for Hybrid Heterogeneous Transfer Learning.

Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang

Artif. Intell., 2019

MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization.

Shangyu Chen, Wenya Wang, Sinno Jialin Pan

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.

Hangwei Qian, Sinno Jialin Pan, Bingshui Da, Chunyan Miao

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Cooperative Pruning in Cross-Domain Deep Neural Network Compression.

Shangyu Chen, Wenya Wang, Sinno Jialin Pan

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Accelerate Learning of Deep Hashing With Gradient Attention.

Long-Kai Huang, Jianda Chen, Sinno Jialin Pan

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion Extraction.

Wenya Wang, Sinno Jialin Pan

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Distribution-Based Semi-Supervised Learning for Activity Recognition.

Hangwei Qian, Sinno Jialin Pan, Chunyan Miao

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding.

Haoliang Li, Sinno Jialin Pan, Renjie Wan, Alex C. Kot

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data.

Shangyu Chen, Wenya Wang, Sinno Jialin Pan

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Supervised Representation Learning with Double Encoding-Layer Autoencoder for Transfer Learning.

Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He

ACM Trans. Intell. Syst. Technol., 2018

Analysis With Histogram of Connectivity: For Automated Evaluation of Piping Layout.

Wei-Chian Tan, I-Ming Chen, Sinno Jialin Pan, Hoon Kiang Tan

IEEE Trans Autom. Sci. Eng., 2018

Counting via LED sensing: Inferring occupancy using lighting infrastructure.

Yanbing Yang, Jun Luo, Jie Hao, Sinno Jialin Pan

Pervasive Mob. Comput., 2018

Memory networks for fine-grained opinion mining.

Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier

Artif. Intell., 2018

Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning.

Haiyan Yin, Jianda Chen, Sinno Jialin Pan

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Transition-based Adversarial Network for Cross-lingual Aspect Extraction.

Wenya Wang, Sinno Jialin Pan

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Domain Adaptive Semantic Segmentation Through Structure Enhancement.

Fengmao Lv, Qing Lian, Guowu Yang, Guosheng Lin, Sinno Jialin Pan, Lixin Duan

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Domain Generalization With Adversarial Feature Learning.

Haoliang Li, Sinno Jialin Pan, Shiqi Wang, Alex C. Kot

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Transfer Learning with PipNet: For Automated Visual Analysis of Piping Design.

Wei-Chian Tan, I-Ming Chen, Dimitrios Pantazis, Sinno Jialin Pan

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.

Wenya Wang, Sinno Jialin Pan

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

SC2Net: Sparse LSTMs for Sparse Coding.

Joey Tianyi Zhou, Kai Di, Jiawei Du, Xi Peng, Hao Yang, Sinno Jialin Pan, Ivor W. Tsang, Yong Liu, Zheng Qin, Rick Siow Mong Goh

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Data Poisoning Attacks on Multi-Task Relationship Learning.

Mengchen Zhao, Bo An, Yaodong Yu, Sulin Liu, Sinno Jialin Pan

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Sensor-Based Activity Recognition via Learning From Distributions.

Hangwei Qian, Sinno Jialin Pan, Chunyan Miao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

A Unified Framework for Metric Transfer Learning.

Yonghui Xu, Sinno Jialin Pan, Hui Xiong, Qingyao Wu, Ronghua Luo, Huaqing Min, Hengjie Song

IEEE Trans. Knowl. Data Eng., 2017

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

Haiyan Yin, Sinno Jialin Pan

CoRR, 2017

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

Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier

CoRR, 2017

A unified framework of active transfer learning for cross-system recommendation.

Lili Zhao, Sinno Jialin Pan, Qiang Yang

Artif. Intell., 2017

Communication-Efficient Distributed Primal-Dual Algorithm for Saddle Point Problem.

Yaodong Yu, Sulin Liu, Sinno Jialin Pan

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

CeilingSee: Device-free occupancy inference through lighting infrastructure based LED sensing.

Yanbing Yang, Jie Hao, Jun Luo, Sinno Jialin Pan

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.

Xin Dong, Shangyu Chen, Sinno Jialin Pan

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Distributed Multi-Task Relationship Learning.

Sulin Liu, Sinno Jialin Pan, Qirong Ho

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.

Jin Wang, Nicholas Tan, Jun Luo, Sinno Jialin Pan

Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

Adaptive Group Sparse Multi-task Learning via Trace Lasso.

Sulin Liu, Sinno Jialin Pan

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay.

Haiyan Yin, Sinno Jialin Pan

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms.

Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Distant Domain Transfer Learning.

Ben Tan, Yu Zhang, Sinno Jialin Pan, Qiang Yang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

HYDRA: Massively Compositional Model for Cross-Project Defect Prediction.

Xin Xia, David Lo, Sinno Jialin Pan, Nachiappan Nagappan, Xinyu Wang

IEEE Trans. Software Eng., 2016

Transfer Hashing with Privileged Information.

Joey Tianyi Zhou, Xinxing Xu, Sinno Jialin Pan, Ivor W. Tsang, Zheng Qin, Rick Siow Mong Goh

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Matrix Factorization+ for Movie Recommendation.

Lili Zhao, Zhongqi Lu, Sinno Jialin Pan, Qiang Yang

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Collaborative Evolution for User Profiling in Recommender Systems.

Zhongqi Lu, Sinno Jialin Pan, Yong Li, Jie Jiang, Qiang Yang

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Class-Wise Supervised Hashing with Label Embedding and Active Bits.

Long-Kai Huang, Sinno Jialin Pan

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis.

Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Ensemble of Anchor Adapters for Transfer Learning.

Fuzhen Zhuang, Ping Luo, Sinno Jialin Pan, Hui Xiong, Qing He

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.

Wei-Chian Tan, I-Ming Chen, Sinno Jialin Pan, Hoon Kiang Tan

Proceedings of the IEEE International Conference on Automation Science and Engineering, 2016

Transfer Learning for Cross-Language Text Categorization through Active Correspondences Construction.

Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang, Shen-Shyang Ho

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.

Linhong Zhu, Sheng Gao, Sinno Jialin Pan, Haizhou Li, Dingxiong Deng, Cyrus Shahabi

Proceedings of the Recommendation and Search in Social Networks, 2015

Supervised Representation Learning: Transfer Learning with Deep Autoencoders.

Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Short and Sparse Text Topic Modeling via Self-Aggregation.

Xiaojun Quan, Chunyu Kit, Yong Ge, Sinno Jialin Pan

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Heterogeneous Multi-task Semantic Feature Learning for Classification.

Xin Jin, Fuzhen Zhuang, Sinno Jialin Pan, Changying Du, Ping Luo, Qing He

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014

Semi-supervised Domain Adaptation on Manifolds.

Li Cheng, Sinno Jialin Pan

IEEE Trans. Neural Networks Learn. Syst., 2014

Adaptation Regularization: A General Framework for Transfer Learning.

Mingsheng Long, Jianmin Wang, Guiguang Ding, Sinno Jialin Pan, Philip S. Yu

IEEE Trans. Knowl. Data Eng., 2014

Extended Spectral Regression for efficient scene recognition.

Liyuan Li, Weixun Goh, Joo-Hwee Lim, Sinno Jialin Pan

Pattern Recognit., 2014

Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders.

Fuzhen Zhuang, Xiaohu Cheng, Sinno Jialin Pan, Wenchao Yu, Qing He, Zhongzhi Shi

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Riemannian Pursuit for Big Matrix Recovery.

Mingkui Tan, Ivor W. Tsang, Li Wang, Bart Vandereycken, Sinno Jialin Pan

Proceedings of the 31th International Conference on Machine Learning, 2014

Exploiting Social Relations and Sentiment for Stock Prediction.

Jianfeng Si, Arjun Mukherjee, Bing Liu, Sinno Jialin Pan, Qing Li, Huayi Li

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Heterogeneous Domain Adaptation for Multiple Classes.

Joey Tianyi Zhou, Ivor W. Tsang, Sinno Jialin Pan, Mingkui Tan

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Hybrid Heterogeneous Transfer Learning through Deep Learning.

Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang, Yan Yan

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Source Free Transfer Learning for Text Classification.

Zhongqi Lu, Yin Zhu, Sinno Jialin Pan, Evan Wei Xiang, Yujing Wang, Qiang Yang

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Transfer Learning.

Sinno Jialin Pan

Proceedings of the Data Classification: Algorithms and Applications, 2014

2013

Transfer joint embedding for cross-domain named entity recognition.

Sinno Jialin Pan, Zhiqiang Toh, Jian Su

ACM Trans. Inf. Syst., 2013

Transfer learning with applications on text, sensors and images.

Sinno Jialin Pan

Proceedings of the 2nd Workshop on Machine Learning for Interactive Systems, 2013

Transfer defect learning.

Jaechang Nam, Sinno Jialin Pan, Sunghun Kim

Proceedings of the 35th International Conference on Software Engineering, 2013

Predicting user activity level in social networks.

Yin Zhu, Erheng Zhong, Sinno Jialin Pan, Xiao Wang, Minzhe Zhou, Qiang Yang

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Graph-based informative-sentence selection for opinion summarization.

Linhong Zhu, Sheng Gao, Sinno Jialin Pan, Haizhou Li, Dingxiong Deng, Cyrus Shahabi

Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Active Transfer Learning for Cross-System Recommendation.

Lili Zhao, Sinno Jialin Pan, Evan Wei Xiang, Erheng Zhong, Zhongqi Lu, Qiang Yang

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Tracking Mobile Users in Wireless Networks via Semi-Supervised Colocalization.

Jeffrey Junfeng Pan, Sinno Jialin Pan, Jie Yin, Lionel M. Ni, Qiang Yang

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Multi-view Positive and Unlabeled Learning.

Joey Tianyi Zhou, Sinno Jialin Pan, Qi Mao, Ivor W. Tsang

Proceedings of the 4th Asian Conference on Machine Learning, 2012

Multi-domain active learning for text classification.

Lianghao Li, Xiaoming Jin, Sinno Jialin Pan, Jian-Tao Sun

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Cross-Domain Co-Extraction of Sentiment and Topic Lexicons.

Fangtao Li, Sinno Jialin Pan, Ou Jin, Qiang Yang, Xiaoyan Zhu

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.

Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qiang Yang

IEEE Trans. Neural Networks, 2011

Multitask Learning for Protein Subcellular Location Prediction.

Qian Xu, Sinno Jialin Pan, Hannah Hong Xue, Qiang Yang

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

A Unified Event Coreference Resolution by Integrating Multiple Resolvers.

Bin Chen, Jian Su, Sinno Jialin Pan, Chew Lim Tan

Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

Source-Selection-Free Transfer Learning.

Evan Wei Xiang, Sinno Jialin Pan, Weike Pan, Jian Su, Qiang Yang

Proceedings of the IJCAI 2011, 2011

Artificial neural network based intracranial pressure mean forecast algorithm for medical decision support.

Feng Zhang, Mengling Feng, Sinno Jialin Pan, Liang Yu Loy, Wenyuan Guo, Zhuo Zhang, Pei Loon Chin, Cuntai Guan, Nicolas Kon Kam King, Beng Ti Ang

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Heterogeneous Transfer Learning for Image Classification.

Yin Zhu, Yuqiang Chen, Zhongqi Lu, Sinno Jialin Pan, Gui-Rong Xue, Yong Yu, Qiang Yang

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

A Survey on Transfer Learning.

Sinno Jialin Pan, Qiang Yang

IEEE Trans. Knowl. Data Eng., 2010

Cross-domain sentiment classification via spectral feature alignment.

Sinno Jialin Pan, Xiaochuan Ni, Jian-Tao Sun, Qiang Yang, Zheng Chen

Proceedings of the 19th International Conference on World Wide Web, 2010

Adaptive Transfer Learning.

Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung, Qiang Yang

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Knowledge Transfer among Heterogeneous Information Networks.

Evan Wei Xiang, Nathan Nan Liu, Sinno Jialin Pan, Qiang Yang

Proceedings of the ICDM Workshops 2009, 2009

2008

Estimating Location Using Wi-Fi.

Qiang Yang, Sinno Jialin Pan, Vincent Wenchen Zheng

IEEE Intell. Syst., 2008

Digital Wall: A Power-efficient Solution for Location-based Data Sharing.

Jeffrey Junfeng Pan, Sinno Jialin Pan, Vincent Wenchen Zheng, Qiang Yang

Proceedings of the Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom 2008), 2008

Real world activity recognition with multiple goals.

Derek Hao Hu, Sinno Jialin Pan, Vincent Wenchen Zheng, Nathan Nan Liu, Qiang Yang

Proceedings of the UbiComp 2008: Ubiquitous Computing, 10th International Conference, 2008

Transferring Multi-device Localization Models using Latent Multi-task Learning.

Vincent Wenchen Zheng, Sinno Jialin Pan, Qiang Yang, Jeffrey Junfeng Pan

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Transferring Localization Models across Space.

Sinno Jialin Pan, Dou Shen, Qiang Yang, James T. Kwok

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Transfer Learning via Dimensionality Reduction.

Sinno Jialin Pan, James T. Kwok, Qiang Yang

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

Mining competent case bases for case-based reasoning.

Rong Pan, Qiang Yang, Sinno Jialin Pan

Artif. Intell., 2007

Domain-constrained semi-supervised mining of tracking models in sensor networks.

Rong Pan, Junhui Zhao, Vincent Wenchen Zheng, Jeffrey Junfeng Pan, Dou Shen, Sinno Jialin Pan, Qiang Yang

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.

Jeffrey Junfeng Pan, Qiang Yang, Sinno Jialin Pan

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Adaptive Localization in a Dynamic WiFi Environment through Multi-view Learning.

Sinno Jialin Pan, James T. Kwok, Qiang Yang, Jeffrey Junfeng Pan

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2005

Preprocessing Time Series Data for Classification with Application to CRM.

Yiming Yang, Qiang Yang, Wei Lu, Sinno Jialin Pan, Rong Pan, Chenhui Lu, Lei Li, Zhenxing Qin

Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005