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ORCIDSinno Jialin Pan
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- affiliation: Nanyang Technological University, Singapore
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2020 – today
- 2023
[j29]Danni Peng
, Sinno Jialin Pan:
Clustered Task-Aware Meta-Learning by Learning From Learning Paths. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9426-9438 (2023)- [c91]Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing:
Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis. ACL (1) 2023: 12272-12285 - [c90]Yansheng Wang, Yongxin Tong, Zimu Zhou, Ruisheng Zhang, Sinno Jialin Pan, Lixin Fan, Qiang Yang:
Distribution-Regularized Federated Learning on Non-IID Data. ICDE 2023: 2113-2125 - [c89]Zhanfeng Mo, Haosen Shi, Sinno Jialin Pan:
Pruning via Sparsity-indexed ODE: a Continuous Sparsity Viewpoint. ICML 2023: 25018-25036 - [c88]Jindong Wang, Haoliang Li, Haohan Wang, Sinno Jialin Pan, Xing Xie:
Trustworthy Machine Learning: Robustness, Generalization, and Interpretability. KDD 2023: 5827-5828 - [c87]Jindong Wang, Haoliang Li, Sinno Jialin Pan, Xing Xie:
A Tutorial on Domain Generalization. WSDM 2023: 1236-1239 - [i22]Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing:
Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis. CoRR abs/2305.09509 (2023) - [i21]Wenxuan Zhang, Yue Deng, Bing Liu, Sinno Jialin Pan, Lidong Bing:
Sentiment Analysis in the Era of Large Language Models: A Reality Check. CoRR abs/2305.15005 (2023) - [i20]Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing:
Multilingual Jailbreak Challenges in Large Language Models. CoRR abs/2310.06474 (2023) - [i19]Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing:
SOUL: Towards Sentiment and Opinion Understanding of Language. CoRR abs/2310.17924 (2023) - [i18]Quanyu Long, Wenya Wang, Sinno Jialin Pan:
Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning. CoRR abs/2311.11551 (2023) - 2022
- [j28]Wang Lu, Jindong Wang, Yiqiang Chen, Sinno Jialin Pan, Chunyu Hu, Xin Qin:
Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(2): 65:1-65:19 (2022) - [j27]Qiang Zhou, Sinno Jialin Pan:
On Acceleration for Convex Composite Minimization with Noise-Corrupted Gradients and Approximate Proximal Mapping. J. Mach. Learn. Res. 23: 223:1-223:59 (2022) - [c86]Wenya Wang, Sinno Jialin Pan:
Deep Inductive Logic Reasoning for Multi-Hop Reading Comprehension. ACL (1) 2022: 4999-5009 - [c85]Jianda Chen, Sinno Jialin Pan:
Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities. ICLR 2022 - [c84]Kaijun Liu, Sijie Ruan, Qianxiong Xu, Cheng Long, Nan Xiao, Nan Hu, Liang Yu, Sinno Jialin Pan:
Modeling Trajectories with Multi-task Learning. MDM 2022: 208-213 - [c83]Quanyu Long, Tianze Luo, Wenya Wang, Sinno Jialin Pan:
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation. NAACL-HLT 2022: 2982-2995 - [c82]Jianda Chen, Sinno Jialin Pan:
Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning. NeurIPS 2022 - [c81]Qiang Zhou, Sinno Jialin Pan:
Convergence Analysis of Linear Coupling with Inexact Proximal Operator. UAI 2022: 2394-2403 - [i17]Wang Lu, Jindong Wang, Yiqiang Chen, Sinno Jialin Pan, Chunyu Hu, Xin Qin:
Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition. CoRR abs/2206.06629 (2022) - [i16]Quanyu Long, Tianze Luo, Wenya Wang, Sinno Jialin Pan:
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation. CoRR abs/2207.04564 (2022) - [i15]Danni Peng, Sinno Jialin Pan:
Learning Gradient-based Mixup towards Flatter Minima for Domain Generalization. CoRR abs/2209.14742 (2022) - [i14]Tianze Luo, Zhanfeng Mo, Sinno Jialin Pan:
Fast Graph Generation via Spectral Diffusion. CoRR abs/2211.08892 (2022) - [i13]Jianda Chen, Sinno Jialin Pan:
Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities. CoRR abs/2212.13088 (2022) - 2021
- [j26]Hangwei Qian, Sinno Jialin Pan, Chunyan Miao:
Weakly-supervised sensor-based activity segmentation and recognition via learning from distributions. Artif. Intell. 292: 103429 (2021) - [j25]Wenya Wang, Sinno Jialin Pan:
Variational Deep Logic Network for Joint Inference of Entities and Relations. Comput. Linguistics 47(4): 775-812 (2021) - [j24]Fengmao Lv, Guosheng Lin, Peng Liu, Guowu Yang, Sinno Jialin Pan, Lixin Duan:
Weakly-Supervised Cross-Domain Road Scene Segmentation via Multi-Level Curriculum Adaptation. IEEE Trans. Circuits Syst. Video Technol. 31(9): 3493-3503 (2021) - [c80]Yu Chen, Sinno Jialin Pan:
Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks. AAAI 2021: 4001-4009 - [c79]Haiyan Yin, Jianda Chen, Sinno Jialin Pan, Sebastian Tschiatschek:
Sequential Generative Exploration Model for Partially Observable Reinforcement Learning. AAAI 2021: 10700-10708 - [c78]Hangwei Qian, Sinno Jialin Pan, Chunyan Miao:
Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition. AAAI 2021: 11921-11929 - [c77]Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang:
AdaRNN: Adaptive Learning and Forecasting of Time Series. CIKM 2021: 402-411 - [c76]Razvan-Gabriel Cirstea, Tung Kieu, Chenjuan Guo, Bin Yang, Sinno Jialin Pan:
EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting. ICDE 2021: 1739-1750 - [c75]Tianbo Li, Tianze Luo, Yiping Ke, Sinno Jialin Pan:
Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions. KDD 2021: 986-994 - [c74]Danni Peng, Sinno Jialin Pan, Jie Zhang, Anxiang Zeng:
Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems. RecSys 2021: 411-421 - [i12]Tianbo Li, Tianze Luo, Yiping Ke, Sinno Jialin Pan:
Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions. CoRR abs/2107.03354 (2021) - [i11]Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang:
AdaRNN: Adaptive Learning and Forecasting of Time Series. CoRR abs/2108.04443 (2021) - [i10]Danni Peng, Sinno Jialin Pan, Jie Zhang, Anxiang Zeng:
Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems. CoRR abs/2111.04282 (2021) - 2020
- [j23]Qiang Zhou, Yu Chen, Sinno Jialin Pan:
Communication-efficient distributed multi-task learning with matrix sparsity regularization. Mach. Learn. 109(3): 569-601 (2020) - [j22]Haoliang Li, Sinno Jialin Pan, Shiqi Wang, Alex C. Kot:
Heterogeneous Domain Adaptation via Nonlinear Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 31(3): 984-996 (2020) - [c73]Junyi Shen, Hankz Hankui Zhuo, Jin Xu, Bin Zhong, Sinno Jialin Pan:
Transfer Value Iteration Networks. AAAI 2020: 5676-5683 - [c72]Wenya Wang, Sinno Jialin Pan:
Integrating Deep Learning with Logic Fusion for Information Extraction. AAAI 2020: 9225-9232 - [c71]Meixi Wu, Wenya Wang, Sinno Jialin Pan:
Deep Weighted MaxSAT for Aspect-based Opinion Extraction. EMNLP (1) 2020: 5618-5628 - [c70]Long-Kai Huang, Sinno Jialin Pan:
Communication-Efficient Distributed PCA by Riemannian Optimization. ICML 2020: 4465-4474 - [c69]Jianda Chen, Shangyu Chen, Sinno Jialin Pan:
Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning. NeurIPS 2020 - [e3]Sinno Jialin Pan, Masashi Sugiyama:
Proceedings of The 12th Asian Conference on Machine Learning, ACML 2020, 18-20 November 2020, Bangkok, Thailand. Proceedings of Machine Learning Research 129, PMLR 2020 [contents] - [e2]Hady W. Lauw, Raymond Chi-Wing Wong, Alexandros Ntoulas, Ee-Peng Lim, See-Kiong Ng, Sinno Jialin Pan:
Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12084, Springer 2020, ISBN 978-3-030-47425-6 [contents] - [e1]Hady W. Lauw, Raymond Chi-Wing Wong, Alexandros Ntoulas, Ee-Peng Lim, See-Kiong Ng, Sinno Jialin Pan:
Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12085, Springer 2020, ISBN 978-3-030-47435-5 [contents] - [i9]Haiyan Yin, Yingzhen Li, Sinno Jialin Pan, Cheng Zhang, Sebastian Tschiatschek:
Reinforcement Learning with Efficient Active Feature Acquisition. CoRR abs/2011.00825 (2020)
2010 – 2019
- 2019
- [j21]Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang:
A deep learning framework for Hybrid Heterogeneous Transfer Learning. Artif. Intell. 275: 310-328 (2019) - [j20]Wenya Wang, Sinno Jialin Pan:
Syntactically Meaningful and Transferable Recursive Neural Networks for Aspect and Opinion Extraction. Comput. Linguistics 45(4): 705-736 (2019) - [j19]Joey Tianyi Zhou, Ivor W. Tsang, Sinno Jialin Pan, Mingkui Tan:
Multi-class Heterogeneous Domain Adaptation. J. Mach. Learn. Res. 20: 57:1-57:31 (2019) - [j18]Jin Wang, Jun Luo, Sinno Jialin Pan, Aixin Sun:
Learning-Based Outdoor Localization Exploiting Crowd-Labeled WiFi Hotspots. IEEE Trans. Mob. Comput. 18(4): 896-909 (2019) - [c68]Shangyu Chen, Wenya Wang, Sinno Jialin Pan:
Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data. AAAI 2019: 3329-3336 - [c67]Wenya Wang, Sinno Jialin Pan:
Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion Extraction. AAAI 2019: 7192-7199 - [c66]Hangwei Qian, Sinno Jialin Pan, Chunyan Miao:
Distribution-Based Semi-Supervised Learning for Activity Recognition. AAAI 2019: 7699-7706 - [c65]Haoliang Li, Sinno Jialin Pan, Renjie Wan, Alex C. Kot:
Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding. AAAI 2019: 8602-8609 - [c64]Long-Kai Huang, Jianda Chen, Sinno Jialin Pan:
Accelerate Learning of Deep Hashing With Gradient Attention. ICCV 2019: 5270-5279 - [c63]Shangyu Chen, Wenya Wang, Sinno Jialin Pan:
Cooperative Pruning in Cross-Domain Deep Neural Network Compression. IJCAI 2019: 2102-2108 - [c62]Hangwei Qian, Sinno Jialin Pan, Bingshui Da, Chunyan Miao:
A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition. IJCAI 2019: 5614-5620 - [c61]Shangyu Chen, Wenya Wang, Sinno Jialin Pan:
MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization. NeurIPS 2019: 3918-3928 - [i8]Junyi Shen, Hankz Hankui Zhuo, Jin Xu, Bin Zhong, Sinno Jialin Pan:
Transfer Value Iteration Networks. CoRR abs/1911.05701 (2019) - [i7]Wenya Wang, Sinno Jialin Pan:
Integrating Deep Learning with Logic Fusion for Information Extraction. CoRR abs/1912.03041 (2019) - 2018
- [j17]Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier:
Memory networks for fine-grained opinion mining. Artif. Intell. 265: 1-17 (2018) - [j16]Yanbing Yang, Jun Luo, Jie Hao, Sinno Jialin Pan:
Counting via LED sensing: Inferring occupancy using lighting infrastructure. Pervasive Mob. Comput. 45: 35-54 (2018) - [j15]Wei-Chian Tan, I-Ming Chen, Sinno Jialin Pan, Hoon Kiang Tan:
Analysis With Histogram of Connectivity: For Automated Evaluation of Piping Layout. IEEE Trans Autom. Sci. Eng. 15(1): 381-392 (2018) - [j14]Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He:
Supervised Representation Learning with Double Encoding-Layer Autoencoder for Transfer Learning. ACM Trans. Intell. Syst. Technol. 9(2): 16:1-16:17 (2018) - [c60]Mengchen Zhao, Bo An, Yaodong Yu, Sulin Liu, Sinno Jialin Pan:
Data Poisoning Attacks on Multi-Task Relationship Learning. AAAI 2018: 2628-2635 - [c59]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:
SC2Net: Sparse LSTMs for Sparse Coding. AAAI 2018: 4588-4595 - [c58]Hangwei Qian, Sinno Jialin Pan, Chunyan Miao:
Sensor-Based Activity Recognition via Learning From Distributions. AAAI 2018: 6262-6269 - [c57]Wenya Wang, Sinno Jialin Pan:
Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-Extraction. ACL (1) 2018: 2171-2181 - [c56]Wei-Chian Tan, I-Ming Chen, Dimitrios Pantazis, Sinno Jialin Pan:
Transfer Learning with PipNet: For Automated Visual Analysis of Piping Design. CASE 2018: 1296-1301 - [c55]Haoliang Li, Sinno Jialin Pan, Shiqi Wang, Alex C. Kot:
Domain Generalization With Adversarial Feature Learning. CVPR 2018: 5400-5409 - [c54]Fengmao Lv, Qing Lian, Guowu Yang, Guosheng Lin, Sinno Jialin Pan, Lixin Duan:
Domain Adaptive Semantic Segmentation Through Structure Enhancement. ECCV Workshops (2) 2018: 172-179 - [c53]Haiyan Yin, Jianda Chen, Sinno Jialin Pan:
Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning. IJCAI 2018: 3026-3032 - [c52]Wenya Wang, Sinno Jialin Pan:
Transition-based Adversarial Network for Cross-lingual Aspect Extraction. IJCAI 2018: 4475-4481 - 2017
- [j13]Lili Zhao, Sinno Jialin Pan, Qiang Yang:
A unified framework of active transfer learning for cross-system recommendation. Artif. Intell. 245: 38-55 (2017) - [j12]Yonghui Xu, Sinno Jialin Pan, Hui Xiong, Qingyao Wu, Ronghua Luo, Huaqing Min, Hengjie Song:
A Unified Framework for Metric Transfer Learning. IEEE Trans. Knowl. Data Eng. 29(6): 1158-1171 (2017) - [c51]Haiyan Yin, Sinno Jialin Pan:
Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay. AAAI 2017: 1640-1646 - [c50]Ben Tan, Yu Zhang, Sinno Jialin Pan, Qiang Yang:
Distant Domain Transfer Learning. AAAI 2017: 2604-2610 - [c49]Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao:
Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms. AAAI 2017: 3316-3322 - [c48]Sulin Liu, Sinno Jialin Pan:
Adaptive Group Sparse Multi-task Learning via Trace Lasso. IJCAI 2017: 2358-2364 - [c47]Jin Wang, Nicholas Tan, Jun Luo, Sinno Jialin Pan:
WOLoc: WiFi-only outdoor localization using crowdsensed hotspot labels. INFOCOM 2017: 1-9 - [c46]Sulin Liu, Sinno Jialin Pan, Qirong Ho:
Distributed Multi-Task Relationship Learning. KDD 2017: 937-946 - [c45]Xin Dong, Shangyu Chen, Sinno Jialin Pan:
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon. NIPS 2017: 4857-4867 - [c44]Yanbing Yang, Jie Hao, Jun Luo, Sinno Jialin Pan:
CeilingSee: Device-free occupancy inference through lighting infrastructure based LED sensing. PerCom 2017: 247-256 - [c43]Yaodong Yu, Sulin Liu, Sinno Jialin Pan:
Communication-Efficient Distributed Primal-Dual Algorithm for Saddle Point Problem. UAI 2017 - [i6]Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier:
Multi-task Coupled Attentions for Category-specific Aspect and Opinion Terms Co-extraction. CoRR abs/1702.01776 (2017) - [i5]Xin Dong, Shangyu Chen, Sinno Jialin Pan:
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon. CoRR abs/1705.07565 (2017) - [i4]Haiyan Yin, Sinno Jialin Pan:
Hashing Over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning. CoRR abs/1707.00524 (2017) - 2016
- [j11]Xin Xia, David Lo, Sinno Jialin Pan, Nachiappan Nagappan, Xinyu Wang:
HYDRA: Massively Compositional Model for Cross-Project Defect Prediction. IEEE Trans. Software Eng. 42(10): 977-998 (2016) - [c42]Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang, Shen-Shyang Ho:
Transfer Learning for Cross-Language Text Categorization through Active Correspondences Construction. AAAI 2016: 2400-2406 - [c41]Wei-Chian Tan, I-Ming Chen, Sinno Jialin Pan, Hoon Kiang Tan:
Automated design evaluation on layout of Piping and Instrumentation Diagram using Histogram of Connectivity. CASE 2016: 1295-1300 - [c40]Fuzhen Zhuang, Ping Luo, Sinno Jialin Pan, Hui Xiong, Qing He:
Ensemble of Anchor Adapters for Transfer Learning. CIKM 2016: 2335-2340 - [c39]Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao:
Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis. EMNLP 2016: 616-626 - [c38]Long-Kai Huang, Sinno Jialin Pan:
Class-Wise Supervised Hashing with Label Embedding and Active Bits. IJCAI 2016: 1585-1591 - [c37]Joey Tianyi Zhou, Xinxing Xu, Sinno Jialin Pan, Ivor W. Tsang, Zheng Qin, Rick Siow Mong Goh:
Transfer Hashing with Privileged Information. IJCAI 2016: 2414-2420 - [c36]Zhongqi Lu, Sinno Jialin Pan, Yong Li, Jie Jiang, Qiang Yang:
Collaborative Evolution for User Profiling in Recommender Systems. IJCAI 2016: 3804-3810 - [c35]Lili Zhao, Zhongqi Lu, Sinno Jialin Pan, Qiang Yang:
Matrix Factorization+ for Movie Recommendation. IJCAI 2016: 3945-3951 - [i3]Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao:
Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis. CoRR abs/1603.06679 (2016) - [i2]Joey Tianyi Zhou, Xinxing Xu, Sinno Jialin Pan, Ivor W. Tsang, Zheng Qin, Rick Siow Mong Goh:
Transfer Hashing with Privileged Information. CoRR abs/1605.04034 (2016) - [i1]Sulin Liu, Sinno Jialin Pan, Qirong Ho:
Distributed Multi-task Relationship Learning. CoRR abs/1612.04022 (2016) - 2015
- [c34]Xin Jin, Fuzhen Zhuang, Sinno Jialin Pan, Changying Du, Ping Luo, Qing He:
Heterogeneous Multi-task Semantic Feature Learning for Classification. CIKM 2015: 1847-1850 - [c33]Xiaojun Quan, Chunyu Kit, Yong Ge, Sinno Jialin Pan:
Short and Sparse Text Topic Modeling via Self-Aggregation. IJCAI 2015: 2270-2276 - [c32]Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He:
Supervised Representation Learning: Transfer Learning with Deep Autoencoders. IJCAI 2015: 4119-4125 - [p2]Linhong Zhu, Sheng Gao, Sinno Jialin Pan, Haizhou Li, Dingxiong Deng, Cyrus Shahabi:
The Pareto Principle Is Everywhere: Finding Informative Sentences for Opinion Summarization Through Leader Detection. Recommendation and Search in Social Networks 2015: 165-187 - 2014
- [j10]Liyuan Li, Weixun Goh, Joo-Hwee Lim, Sinno Jialin Pan:
Extended Spectral Regression for efficient scene recognition. Pattern Recognit. 47(9): 2940-2951 (2014) - [j9]Mingsheng Long, Jianmin Wang, Guiguang Ding, Sinno Jialin Pan, Philip S. Yu:
Adaptation Regularization: A General Framework for Transfer Learning. IEEE Trans. Knowl. Data Eng. 26(5): 1076-1089 (2014) - [j8]Li Cheng, Sinno Jialin Pan:
Semi-supervised Domain Adaptation on Manifolds. IEEE Trans. Neural Networks Learn. Syst. 25(12): 2240-2249 (2014) - [c31]Zhongqi Lu, Yin Zhu, Sinno Jialin Pan, Evan Wei Xiang, Yujing Wang, Qiang Yang:
Source Free Transfer Learning for Text Classification. AAAI 2014: 122-128 - [c30]Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang, Yan Yan:
Hybrid Heterogeneous Transfer Learning through Deep Learning. AAAI 2014: 2213-2220 - [c29]Joey Tianyi Zhou, Ivor W. Tsang, Sinno Jialin Pan, Mingkui Tan:
Heterogeneous Domain Adaptation for Multiple Classes. AISTATS 2014: 1095-1103 - [c28]Jianfeng Si, Arjun Mukherjee, Bing Liu, Sinno Jialin Pan, Qing Li, Huayi Li:
Exploiting Social Relations and Sentiment for Stock Prediction. EMNLP 2014: 1139-1145 - [c27]Mingkui Tan, Ivor W. Tsang, Li Wang, Bart Vandereycken, Sinno Jialin Pan:
Riemannian Pursuit for Big Matrix Recovery. ICML 2014: 1539-1547 - [c26]Fuzhen Zhuang, Xiaohu Cheng, Sinno Jialin Pan, Wenchao Yu, Qing He, Zhongzhi Shi:
Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders. ECML/PKDD (3) 2014: 417-431 - [p1]Sinno Jialin Pan:
Transfer Learning. Data Classification: Algorithms and Applications 2014: 537-570 - 2013
- [j7]Sinno Jialin Pan, Zhiqiang Toh, Jian Su:
Transfer joint embedding for cross-domain named entity recognition. ACM Trans. Inf. Syst. 31(2): 7 (2013) - [c25]Lili Zhao, Sinno Jialin Pan, Evan Wei Xiang, Erheng Zhong, Zhongqi Lu, Qiang Yang:
Active Transfer Learning for Cross-System Recommendation. AAAI 2013: 1205-1211 - [c24]Linhong Zhu, Sheng Gao, Sinno Jialin Pan, Haizhou Li, Dingxiong Deng, Cyrus Shahabi:
Graph-based informative-sentence selection for opinion summarization. ASONAM 2013: 408-412 - [c23]Yin Zhu, Erheng Zhong, Sinno Jialin Pan, Xiao Wang, Minzhe Zhou, Qiang Yang:
Predicting user activity level in social networks. CIKM 2013: 159-168 - [c22]Jaechang Nam, Sinno Jialin Pan, Sunghun Kim:
Transfer defect learning. ICSE 2013: 382-391 - [c21]