Publications [Google Scholar Profile] [DBLP]

Books (1)

1. Transfer Learning.
   Qiang Yang, Yu Zhang, Wenyuan Dai and Sinno Jialin Pan.
   Cambridge University Press. March 2020.
   
   迁移学习 [当当网, 京东] (Chinese version translated by Fuzhen Zhuang)
   机械工业出版社 (China Machine Press). July 2020.

Journal Papers (29)

1. Collaborative Sequential Recommendations via Multi-View GNN-Transformers. [Bibtex]
   Tianze Luo, Yong Liu, and Sinno Jialin Pan.
   To appear in ACM Transactions on Information Systems (ACM TOIS). 2024.
2. Fast Graph Generation via Spectral Diffusion. [Bibtex]
   Tianze Luo, Zhanfeng Mo, and Sinno Jialin Pan.
   To appear in IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI). 2024.
3. Clustered Task-Aware Meta-Learning by Learning from Learning Paths. [Bibtex]
   Danni Peng and Sinno Jialin Pan.
   In IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI). Volume 45, NO. 8, Pages 9426-9438, 2023.
4. On Acceleration for Convex Composite Minimization with Noise-Corrupted Gradients and Approximate Proximal Mapping. [Bibtex]
   Qiang Zhou and Sinno Jialin Pan.
   In Journal of Machine Learning Research (JMLR). Volume 23, Pages 223:1-223:31, 2022.
5. Variational Deep Logic Network for Joint Inference of Entities and Relations. [Bibtex]
   Wenya Wang and Sinno Jialin Pan.
   In Computational Linguistics (CL). Volume 47, NO. 4, Pages 775-812, 2021.
6. Weakly-supervised Cross-domain Road Scene Segmentation via Multi-level Curriculum Adaptation. [Bibtex]
   Fengmao Lv, Guosheng Lin, Peng Liu, Guowu Yang, Sinno Jialin Pan, and Lixin Duan.
   In IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). Volume 31, Issue 9, Pages 1558-2205, 2021.
7. Weakly-Supervised Sensor-based Activity Segmentation and Recognition via Learning from Distributions. [Bibtex]
   Hangwei Qian, Sinno Jialin Pan, and Chunyan Miao.
   In Artificial Intelligence (AIJ). Volume 292, 2021.
8. Communication-Efficient Distributed Multi-Task Learning with Matrix Sparsity Regularization. [Bibtex]
   Qiang Zhou, Yu Chen and Sinno Jialin Pan.
   In Machine Learning (MLJ). Volume 109, No. 3, Pages 569-601, 2020.
9. Heterogeneous Domain Adaptation via Non-linear Matrix Factorization. [Bibtex]
   Haoliang Li, Sinno Jialin Pan, Shiqi Wang and Alex C. Kot.
   In IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS). Volume 31, No. 3, Pages 984-996, 2020.
10. Syntactically-Meaningful and Transferable Recursive Neural Networks for Aspect and Opinion Extraction. [Bibtex]
    Wenya Wang and Sinno Jialin Pan.
    In Computational Linguistics (CL). Volume 45, Issue 4, Pages 705-736, 2020.
11. A Deep Learning Framework for Hybrid Heterogeneous Transfer Learning. [Bibtex]
    Joey Tianyi Zhou, Sinno Jialin Pan and Ivor W. Tsang.
    In Artificial Intelligence (AIJ). Volume 275, Pages 310-328, 2019.
12. Multi-class Heterogeneous Domain Adaptation. [Bibtex]
    Joey Tianyi Zhou, Ivor W. Tsang, Sinno Jialin Pan and Mingkui Tan.
    In Journal of Machine Learning Research (JMLR). Volume 20, Pages 51:1-51:31, 2019.
13. Learning-Based Outdoor Localization Exploiting Crowd-Labeled WiFi Hotspots. [Bibtex]
    Jin Wang, Jun Luo, Sinno Jialin Pan and Aixin Sun.
    In IEEE Transactions on Mobile Computing (IEEE TMC). Volume 18, No. 4, Pages 896-909, 2019.
14. Memory Networks for Fine-grained Opinion Mining. [Bibtex]
    Wenya Wang, Sinno Jialin Pan and Daniel Dahlmeier.
    In Artificial Intelligence (AIJ). Volume 265, Pages 1-17, 2018.
15. Counting via LED Sensing: Inferring Occupancy Using Lighting Infrastructure. [Bibtex]
    Yanbing Yang, Jun Luo, Jie Hao and Sinno Jialin Pan.
    In Pervasive and Mobile Computing (PMCJ). Volume 45, Pages 35–54, April 2018. (Special issue on selected PerCom 2017 papers, by invitation.)
16. Supervised Representation Learning with Double Encoding-layer Autoencoder for Transfer Learning. [Bibtex]
    Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan and Qing He.
    In ACM Transactions on Intelligent Systems and Technology (ACM TIST). Volume 9, Issue 2, Pages 16:1-16:17, 2018.
17. A Unified Framework for Metric Transfer Learning. [Bibtex]
    Yonghui Xu, Sinno Jialin Pan, Hui Xiong, Qingyao Wu, Ronghua Luo, Huaqing Min and Hengjie Song.
    In IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE). Volume 29, Issue 6, Pages 1-14, June 2017.
18. A Unified Framework of Active Transfer Learning for Cross-System Recommendation. [Bibtex]
    Lili Zhao, Sinno Jialin Pan and Qiang Yang.
    In Artificial Intelligence (AIJ). Volume 245, Pages 38-55, 2017.
19. HYDRA: Massively Compositional Model for Cross-Project Defect Prediction. [Bibtex]
    Xin Xia, David Lo, Sinno Jialin Pan, Nachiappan Nagappan and Xinyu Wang.
    In IEEE Transactions on Software Engineering (IEEE TSE). Volume 42, No. 10, Pages 977-998, October 2016.
20. Semi-supervised Domain Adaptation on Manifolds. [Bibtex]
    Li Cheng and Sinno Jialin Pan.
    In IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS). Volume 25, Issue 12, Pages 2240-2249, December 2014.
21. Extended Spectral Regression for Efficient Scene Recognition. [Bibtex]
    Liyuan Li, Weixun Goh, Joo Hwee Lim and Sinno Jialin Pan.
    In Pattern Recognition (PR). Volume 47, Issue 9, Pages 2940-2951, September 2014.
22. Adaptation Regularization: A General Framework for Transfer Learning. [Bibtex]
    Mingsheng Long, Jianmin Wang, Guiguang Ding, Sinno Jialin Pan and Philip S. Yu.
    In IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE). Volume 26, Issue 5, Pages 1076-1089, May 2014.
23. Transfer Joint Embedding for Cross-Domain Named Entity Recognition. [Bibtex]
    Sinno Jialin Pan, Zhiqiang Toh and Jian Su.
    In ACM Transactions on Information Systems (ACM TOIS). Volume 31, No. 2, Pages 7:1-7:27, May 2013.
24. Tracking Mobile Users in Wireless Networks via Semi-Supervised Co-Localization. [Bibtex]
    Jeffrey J. Pan, Sinno Jialin Pan, Jie Yin, Lionel M. Ni and Qiang Yang.
    In IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI). Volume 34, No. 3, Pages 587-600, March 2012.
    ScienceDaily: Wireless Networks: Mobile Devices Keep Track, on 21 November 2012.
25. Domain Adaptation via Transfer Component Analysis. [Bibtex]
    Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok and Qiang Yang.
    In IEEE Transactions on Neural Networks (IEEE TNN). Volume 22, Issue 2, Pages 199-210, February 2011.
26. Multitask Learning for Protein Subcellular Location Prediction. [Bibtex]
    Qian Xu, Sinno Jialin Pan, Hannah Hong Xue and Qiang Yang.
    In IEEE/ACM Transactions on Computational Biology and Bioinformatics (IEEE/ACM TCBB). Volume 8, Issue 3, Pages 748-759, May-June 2011.
27. A Survey on Transfer Learning. [BibTex] [Webpage]
    Sinno Jialin Pan and Qiang Yang.
    In IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE). Volume 22, No. 10, Pages 1345-1359, October 2010.
28. Estimating Location Using Wi-Fi. [BibTex]
    Qiang Yang, Sinno Jialin Pan and Vincent W. Zheng.
    In IEEE Intelligent Systems. Volume 23, No. 1, Pages 8-13, Jan/Feb. 2008.
29. Mining Competent Case Bases for Case-based Reasoning. [BibTex]
    Rong Pan, Qiang Yang and Sinno Jialin Pan.
    In Artificial Intelligence (AIJ). Volume 171, Issues 16-17, Pages 1039-1068, November 2007.

Conference Papers (84)

1. Improving the Generalization of Unseen Crowd Behaviors for Reinforcement Learning based Local Motion Planners. [Bibtex]
   Terence Ng, Jianda Chen, Sinno Jialin Pan, and Tianwei Zhang.
   To appear in Proceedings of IEEE International Conference on Robotics and Automation 2024 (ICRA-24). Yokohama, Japan. May 13-17, 2024. (Full paper)
2. Graph Principal Flow Network for Conditional Graph Generation. [Bibtex]
   Zhanfeng Mo, Tianze Luo, and Sinno Jialin Pan.
   To appear in Proceedings of the ACM Web Conference 2024 (WWW-24). Singapore. May 13-17, 2024. (Full paper)
3. Multilingual Jailbreak Challenges in Large Language Models. [Bibtex]
   Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, and Lidong Bing.
   To appear in the 12th International Conference on Learning Representations (ICLR-24). Vienna, Austria. May 7-11, 2024. (Full paper)
4. Learning Adaptive Graph Transforms: Meta-Framelet-based Graph Convolutional Network. [Bibtex]
   Tianze Luo, Zhanfeng Mo, and Sinno Jialin Pan.
   To appear in the 12th International Conference on Learning Representations (ICLR-24). Vienna, Austria. May 7-11, 2024. (Full paper)
5. A Diffusion Model with State Estimation for Degradation-blind Inverse Imaging. [Bibtex]
   Liya Ji, Zhefan Rao, Sinno Jialin Pan, Chenyang Lei, and Qifeng Chen.
   To appear in Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-24). Vancouver, Canada. Feb. 20-27, 2024. (Full paper)
6. Adapt in Contexts: Effective Domain Adaptation via In-Context Learning. [Bibtex]
   Quanyu Long, Wenya Wang, and Sinno Jialin Pan.
   In the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP-23). Singapore. Dec. 6-10, 2023. Pages 6525-6542. (Full paper)
7. Retaining Beneficial Information from Detrimental Data for Neural Network Repair. [Bibtex]
   Long-Kai Huang, Peilin Zhao, Junzhou Huang, and Sinno Jialin Pan.
   In Advances in Neural Information Processing Systems 36 (NeurIPS-23). New Orleans, LA, USA. Dec. 10-16, 2023. (Full paper)
8. Deep Multitask Learning with Progressive Parameter Sharing. [Bibtex]
   Haosen Shi, Shen Ren, Tianwei Zhang and Sinno Jialin Pan.
   In Proceedings of 2023 IEEE/CVF International Conference on Computer Vision (ICCV-23). Paris, France. Oct. 2-6, 2023. Pages 19867-19878. (Full paper)
9. Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis. [Bibtex]
   Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, and Lidong Bing.
   In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL-23). Toronto, Canada. Jul. 9-14, 2023. Pages 12272-12285. (Full paper)
10. Pruning via Sparsity-indexed ODE: a Continuous Sparsity Viewpoint. [Bibtex]
    Zhanfeng Mo, Haosen Shi, and Sinno Jialin Pan.
    In Proceedings of the 40th International Conference on Machine Learning (ICML-23). Honolulu, Hawaii, USA. Jul. 23-29, 2023. Pages 25018-25036. (Full paper)
11. Distribution-Regularized Federated Learning on Non-IID Data. [Bibtex]
    Yansheng Wang, Yongxin Tong, Zimu Zhou, Ruisheng Zhang, Sinno Jialin Pan, Lixin Fan, and Qiang Yang.
    In Proceedings of the 39th IEEE International Conference on Data Engineering (ICDE-23). Anaheim, CA, USA. Apr. 3-7, 2023. Pages 2113-2125. (Full paper)
12. Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning. [Bibtex]
    Jianda Chen and Sinno Jialin Pan.
    In Advances in Neural Information Processing Systems 35 (NeurIPS-22). Nov. 28 - Dec. 3, 2022. (Full paper)
13. Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition. [Bibtex]
    Wang Lu, Jindong Wang, Yiqiang Chen, Sinno Jialin Pan, Chunyu Hu, and Xin Qin.
    In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (PACM IMWUT/Ubicomp-22). Volume 6, No 2, Pages 65:1--65:19, 2022 (Full paper)
14. Convergence Analysis of Linear Coupling with Inexact Proximity Operator. [Bibtex]
    Qiang Zhou and Sinno Jialin Pan.
    In Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence (UAI-22). Netherlands. Aug. 1-5, 2022. Pages 2394-2403. (Full paper)
15. Domain Confused Contrastive Learning for Unsupervised Domain Adaptation. [Bibtex]
    Quanyu Long, Tianze Luo, Wenya Wang, and Sinno Jialin Pan.
    In Proceedings of the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-22). Seattle, Washington, USA. Jul. 10-15, 2022. Pages 2982-2995. (Full paper)
16. Deep Inductive Logic Reasoning for Multi-Hop Reading Comprehension. [Bibtex]
    Wenya Wang and Sinno Jialin Pan.
    In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL-22). Dublin. May 22-27, 2022. Pages 4999-5009. (Full paper)
17. Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities. [Bibtex]
    Jianda Chen and Sinno Jialin Pan.
    In the 10th International Conference on Learning Representations (ICLR-22). Apr. 25-29, 2022. (Full paper)
18. AdaRNN: Adaptive Learning and Forecasting of Time Series. [Bibtex]
    Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, and Chongjun Wang.
    In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM-21). Queensland, Australia. Nov. 1-5, 2021. Pages 402-411. (Full paper)
19. Learning An Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems. [Bibtex]
    Danni Peng, Sinno Jialin Pan, Jie Zhang, and Anxiang Zeng.
    In Proceedings of the 15th ACM Conference on Recommender Systems (RecSys-21). Amsterdam, Netherlands. Sept. 27 - Oct. 1, 2021. Pages 411-421. (Full paper)
20. Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions. [Bibtex]
    Tianbo Li, Tianze Luo, Yiping Ke, and Sinno Jialin Pan.
    In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-21). Aug. 14-18, 2021. Pages 986-994. (Full paper)
21. EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting. [Bibtex]
    Razvan Cirstea, Tung Kieu, Chenjuan Guo, Bin Yang, and Sinno Jialin Pan.
    In Proceedings of the 37th IEEE International Conference on Data Engineering (ICDE-21). Apr. 19-22, 2021. (Full paper)
22. Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks. [Bibtex]
    Yu Chen and Sinno Jialin Pan.
    In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI-21). Feb. 2-9, 2021. Pages 4001-4009. (Full paper)
23. Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition. [Bibtex]
    Hangwei Qian, Sinno Jialin Pan, and Chunyan Miao.
    In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI-21). Feb. 2-9, 2021. Pages 11921-11929. (Full paper)
24. Sequential Generative Exploration Model for Partially Observable Reinforcement Learning. [Bibtex]
    Haiyan Yin, Jianda Chen, Sinno Jialin Pan, and Sebastian Tschiatschek.
    In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI-21). Feb. 2-9, 2021. Pages 10700-1070. (Full paper)
25. Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning. [Bibtex]
    Jianda Chen, Shangyu Chen, and Sinno Jialin Pan.
    In Advances in Neural Information Processing Systems 33 (NeurIPS-20). Dec. 6-12, 2020. (Full paper)
26. Deep Weighted MaxSAT for Aspect-based Opinion Extraction. [Bibtex]
    Meixi Wu, Wenya Wang, and Sinno Jialin Pan.
    In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP-20). Nov. 16-20, 2020. Pages 5618-5628. (Full paper)
27. Communication-Efficient Distributed PCA by Riemannian Optimization. [Bibtex]
    Long-Kai Huang and Sinno Jialin Pan.
    In Proceedings of the 37th International Conference on Machine Learning (ICML-20). Vienna, Austria. Jul. 12-18, 2020. Pages 4465-4474. (Full paper)
28. Integrating Deep Learning with Logic Fusion for Information Extraction. [Bibtex]
    Wenya Wang and Sinno Jialin Pan.
    In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI-20). New York, USA. Feb. 7-12, 2020. Pages 9225-9232. (Full paper)
29. Transfer Value Iteration Networks. [Bibtex]
    Junyi Shen, Hankz Hankui Zhuo, Jin Xu, Bin Zhong and Sinno Jialin Pan.
    In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI-20). New York, USA. Feb. 7-12, 2020. Pages 5676-5683. (Full paper)
30. MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization. [Bibtex]
    Shangyu Chen, Wenya Wang and Sinno Jialin Pan.
    In Advances in Neural Information Processing Systems 32 (NeurIPS-19). Vancouver, Canada. Dec. 8-14, 2019. Pages 3918-3928. (Full paper)
31. Accelerate Learning of Deep Hashing with Gradient Attention. [Bibtex]
    Long-Kai Huang, Jianda Chen and Sinno Jialin Pan.
    In Proceedings of IEEE International Conference on Computer Vision (ICCV-19). Seoul, Korea. Oct. 27 - Nov. 2, 2019. Pages 5270-5279. (Full paper)
32. A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition. [Bibtex]
    Hangwei Qian, Sinno Jialin Pan, Bingshui Da and Chunyan Miao.
    In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19). Macao, China. Aug. 10-16, 2019. Pages 5614-5620. (Full paper)
33. Cooperative Pruning in Cross-Domain Deep Neural Network Compression. [Bibtex]
    Shangyu Chen, Wenya Wang and Sinno Jialin Pan.
    In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19). Macao, China. Aug. 10-16, 2019. Pages 2102-2108. (Full paper)
34. Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data. [Bibtex]
    Shangyu Chen, Wenya Wang and Sinno Jialin Pan.
    In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19). Hawaii, USA. Jan. 27 - Feb. 1, 2019. Pages 3329-3336. (Full paper)
35. Transferable Interactive Memory Network for Domain Adaptation in Fine-grained Opinion Extraction. [Bibtex]
    Wenya Wang and Sinno Jialin Pan.
    In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19). Hawaii, USA. Jan. 27 - Feb. 1, 2019. Pages 7192-7199. (Full paper)
36. Distribution-based Semi-Supervised Learning for Activity Recognition. [Bibtex]
    Hangwei Qian, Sinno Jialin Pan and Chunyan Miao.
    In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19). Hawaii, USA. Jan. 27 - Feb. 1, 2019. Pages 7699-7706. (Full paper)
37. Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding. [Bibtex]
    Haoliang Li, Sinno Jialin Pan, Renjie Wan and Alex Kot.
    In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19). Hawaii, USA. Jan. 27 - Feb. 1, 2019. Pages 8602-8609. (Full paper)
38. Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-Extraction. [Bibtex]
    Wenya Wang and Sinno Jialin Pan.
    In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-18). Melbourne, Australia. Jul. 15-20, 2018. Pages 2171-2181. (Full paper)
39. Transition-based Adversarial Network for Cross-lingual Aspect Extraction. [Bibtex]
    Wenya Wang and Sinno Jialin Pan.
    In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-18). Stockholm, Sweden. Jul. 13-19, 2018. Pages 4475-4481. (Full paper)
40. Hashing Over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning. [Bibtex]
    Haiyan Yin, Jianda Chen and Sinno Jialin Pan.
    In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-18). Stockholm, Sweden. Jul. 13-19, 2018. Pages 3026-3032. (Full paper)
41. Domain Generalization with Adversarial Feature Learning. [Bibtex]
    Haoliang Li, Sinno Jialin Pan, Shiqi Wang and Alex Kot.
    In Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR-18). Salt Lake City, UATH, USA. June 18-22, 2018. Pages 5400-5409. (Full paper)
42. Sensor-based Activity Recognition via Learning from Distributions. [Bibtex]
    Hangwei Qian, Sinno Jialin Pan and Chunyan Miao.
    In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18). New Orleans, LA, USA. February 2-7, 2018. Pages 6262-6269. (Full paper)
43. SC2Net: Sparse LSTMs for Sparse Coding. [Bibtex]
    Joey Tianyi Zhou, Kai Di, Jiawei Du, Xi Peng, Hao Yang, Sinno Jialin Pan, Ivor Tsang, Zheng Qin, Yong Liu and Rick Goh.
    In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18). New Orleans, LA, USA. February 2-7, 2018. Pages 4588-4595. (Full paper)
44. Data Poisoning Attacks on Multi-Task Relationship Learning. [Bibtex]
    Mengchen Zhao, Bo An, Yaodong Yu, Sulin Liu and Sinno Jialin Pan.
    In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18). New Orleans, LA, USA. February 2-7, 2018. Pages 2628-2635. (Full paper)
45. Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon. [Bibtex]
    Xin Dong, Shangyu Chen and Sinno Jialin Pan.
    In Advances in Neural Information Processing Systems 30 (NIPS-17). Long Beach, CA, USA. Dec. 4-9, 2017. Pages 4860-4874. (Full paper)
    [Code]
46. Communication-Efficient Distributed Primal-Dual Algorithm for Saddle Point Problems. [Bibtex]
    Yaodong Yu*, Sulin Liu* and Sinno Jialin Pan.
    In Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence (UAI-17). Sydney, Australia. Aug. 11-15, 2017. (Full paper)
    (Note: * indicates equal contributions.)
47. Distributed Multi-task Relationship Learning. [Bibtex]
    Sulin Liu, Sinno Jialin Pan and Qirong Ho
    In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-17). Halifax, Nova Scotia, Canada. Aug. 13-17, 2017. Pages 937-946. (Full paper)
48. Adaptive Group Sparse Multi-task Learning via Trace Lasso. [Bibtex]
    Sulin Liu and Sinno Jialin Pan.
    In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI-17). Melbourne, Australia. Aug. 19-25, 2017. Pages 2358-2364. (Full paper)
49. WOLoc: WiFi-only Outdoor Localization using Crowdsensed Hotspot Labels. [Bibtex]
    Jin Wang, Nicholas Tan, Jun Luo and Sinno Jialin Pan.
    In Proceedings of the 36th Annual IEEE International Conference on Computer Communications (INFOCOM-17). Atlanta, GA, USA. May 1-4, 2017. Pages 1-9. (Full paper)
50. CeilingSee: Device-Free Occupancy Inference through Lighting Infrastructure Based LED Sensing. [Bibtex]
    Yanbing Yang, Jie Hao, Jun Luo and Sinno Jialin Pan.
    In Proceedings of the 15th IEEE International Conference on Pervasive Computing and Communications (PerCom-17). Hawaii, USA. Mar. 13-17, 2017. Pages 247-256. (Full paper)
51. Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay. [Bibtex]
    Haiyan Yin and Sinno Jialin Pan.
    In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI-17). San Francisco, CA, USA. February 4-9, 2017. Pages 1640-1646. (Full paper)
52. Coupled Multi-layer Attentions for Co-extraction of Aspect and Opinion Terms. [Bibtex]
    Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier and Xiaokui Xiao.
    In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI-17). San Francisco, CA, USA. February 4-9, 2017. Pages 3316-3322. (Full paper)
    [Code & Dataset]
53. Distant Domain Transfer Learning. [Bibtex]
    Ben Tan, Yu Zhang, Sinno Jialin Pan and Qiang Yang.
    In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI-17). San Francisco, CA, USA. February 4-9, 2017. Pages 2604-2610. (Full paper)
54. Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis. [Bibtex]
    Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier and Xiaokui Xiao.
    In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-16). Austin, Texas, USA. November 1-5, 2016. Pages 616-626. (Full paper)
    [Code & Dataset]
55. Class-wise Supervised Hashing with Label Embedding and Active Bits. [Bibtex]
    Long-Kai Huang and Sinno Jialin Pan.
    In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16). New York City, USA. July 9-15, 2016. Pages 1585-1591. (Full paper)
56. Transfer Hashing with Privileged Information. [Bibtex]
    Joey Tianyi Zhou, Xinxing Xu, Sinno Jialin Pan, Ivor W. Tsang, Qin Zheng and Rick Goh
    In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16). New York City, USA. July 9-15, 2016. Pages 2414-2420. (Full paper)
57. Collaborative Evolution for User Profiling in Recommender Systems. [Bibtex]
    Zhongqi Lu, Sinno Jialin Pan, Yong Li, Jie Jiang and Qiang Yang.
    In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16). New York City, USA. July 9-15, 2016. (Full paper)
58. Matrix Factorization+ for Movie Recommendation. [Bibtex]
    Lili Zhao, Zhongqi Lu, Sinno Jialin Pan and Qiang Yang.
    In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16). New York City, USA. July 9-15, 2016. Pages 3945-3951. (Full paper)
59. Transfer Learning for Cross-Language Text Categorization through Active Correspondences Construction. [Bibtex]
    Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang, and Shen-Shyang Ho.
    In Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-16). Phoenix, Arizona, USA. February 12-17, 2016. (Full paper)
60. Supervised Representation Learning: Transfer Learning with Deep Autoencoders. [BibTex]
    Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan and Qing He.
    In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI-15). Buenos Aires, Argentina. July 25-31, 2015. Pages 4119-4125. (Full paper)
61. Short and Sparse Text Topic Modeling via Self-Aggregation. [BibTex]
    Xiaojun Quan, Chunyu Kit, Yong Ge and Sinno Jialin Pan.
    In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI-15). Buenos Aires, Argentina. July 25-31, 2015. Pages 2270-2276. (Full paper)
62. Riemannian Pursuit for Big Matrix Recovery. [Suplementary] [BibTex]
    Mingkui Tan, Ivor W. Tsang, Li Wang, Bart Vandereycken and Sinno Jialin Pan.
    In Proceedings of the 31st International Conference on Machine Learning (ICML-14). Beijing, China. June 21-26, 2014. Pages 1539-1547. (Full paper)
63. Hybrid Heterogeneous Transfer Learning through Deep Learning. [BibTex]
    Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang and Yan Yan.
    In Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI-14). Quebec City, Quebec, Canada. July 27-31, 2014. Pages 2213-2220. (Full paper)
64. Source Free Transfer Learning for Text Classification. [BibTex]
    Zhongqi Lu, Yin Zhu, Sinno Jialin Pan, Evan Xiang, Yujing Wang and Qiang Yang.
    In Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI-14). Quebec City, Quebec, Canada. July 27-31, 2014. Pages 122-128. (Full paper)
65. Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders. [BibTex]
    Fuzhen Zhuang, Xiaohu Cheng, Sinno Jialin Pan, Qing He and Zhongzhi Shi.
    In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-14). Nancy, France. September 15-19, 2014. Pages 417-431. (Full paper)
66. Heterogeneous Domain Adaptation for Multiple Classes. [BibTex]
    Joey Tianyi Zhou, Ivor W. Tsang, Sinno Jialin Pan and Mingkui Tan.
    In Proceedings of the 17th International Conference on Artificial Intelligence and Statistics (AISTATS-14). Reykjavik, Iceland. April 22-25, 2014. JMLR W&CP 33: 1095-1103. (Full paper)
67. Active Transfer Learning for Cross-system Recommendation. [BibTex]
    Lili Zhao, Sinno Jialin Pan, Evan W. Xiang, Erheng Zhong, Zhongqi Lu and Qiang Yang.
    In Proceedings of the 27th AAAI Conference on Artificial Intelligence (AAAI-13). Bellevue, Washington, USA. July 14-18, 2013. Pages 1205-1211. (Full paper)
68. Transfer Defect Learning. [BibTex]
    Jaechang Nam, Sinno Jialin Pan and Sunghun Kim.
    In Proceedings of the 35th International Conference on Software Engineering (ICSE-13). San Francisco, CA, USA. May 18-26, 2013. Pages 382-391. (Full paper. Nominee, ACM SIGSOFT Distinguished Paper Award)
69. Predicting User Activity Level in Social Networks. [BibTex]
    Yin Zhu, Erheng Zhong, Sinno Jialin Pan Xiao Wang, Minzhe Zhou and Qiang Yang.
    In Proceedings of the 22nd ACM International Conference on Information and Knowledge Management (CIKM-13). San Francisco, CA, USA. October 27-November 1, 2013. Pages 159-168. (Full paper)
70. Multi-Domain Active Learning for Text Classification. [BibTex]
    Lianghao Li, Xiaoming Jin, Sinno Jialin Pan and Jian-Tao Sun.
    In Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-12). Research Track. Beijing, China. August 12-16, 2012. Pages 1086-1094. (Full paper)
71. Cross-Domain Co-Extraction of Sentiment and Topic Lexicons. [BibTex]
    Fangtao Li, Sinno Jialin Pan, Ou Jin, Qiang Yang and Xiaoyan Zhu.
    In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL-12). Jeju, Republic of Korea. July 8-14, 2012. Pages 410-419. (Full paper)
72. Multi-view Positive and Unlabeled Learning. [BibTex]
    Joey T. Zhou, Sinno Jialin Pan, Qi Mao and Ivor W. Tsang.
    In Proceedings of the 4th Asian Conference on Machine Learning (ACML-12). Singapore. November 4-6, 2012. JMLR: W&CP, Volume 25. Pages 555-570. (Full paper. Best Poster Award Honorable Mention)
73. Source-Selection-Free Transfer Learning. [BibTex]
    Evan W. Xiang, Sinno Jialin Pan, Weike Pan, Jian Su and Qiang Yang.
    In Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI-11). Barcelona, Spain. July 16-22, 2011. Pages 2355-2360. (Full paper)
74. Heterogeneous Transfer Learning for Image Classification. [BibTex]
    Yin Zhu, Yuqiang Chen, Zhongqi Lu, Sinno Jialin Pan, Gui-Rong Xue, Yong Yu and Qiang Yang.
    In Proceedings of the 25th AAAI Conference on Artificial Intelligence (AAAI-11). San Francisco, CA, USA. August 7-11, 2011. Pages 1304-1309. (Full paper)
75. A Unified Event Coreference Resolution by Integrating Multiple Resolvers. [BibTex]
    Bin Chen, Jian Su, Sinno Jialin Pan and Chew Lim Tan.
    In Proceedings of the 5th International Joint Conference for Natural Language Processing (IJCNLP-11). Chiang Mai, Thailand. November 8-13, 2011. Pages 102-110. (Full paper)
76. Adaptive Transfer Learning. [BibTex]
    Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung and Qiang Yang.
    In Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI-10). Atlanta, Georgia, USA. July 11-15, 2010. Pages 407-412. (Full paper)
77. Cross-Domain Sentiment Classification via Spectral Feature Alignment. [BibTex]
    Sinno Jialin Pan, Xiaochuan Ni, Jian-Tao Sun, Qiang Yang and Zheng Chen.
    In Proceedings of the 19th International World Wide Web Conference (WWW-10). Raleigh, NC, USA. April 26-30, 2010. Pages 751-760. (Full paper)
78. Domain Adaptation via Transfer Component Analysis. [BibTex]
    Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok and Qiang Yang.
    In Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI-09). Pasadena, CA, USA. July 11-17, 2009. Pages 1187-1192. (Full paper)
79. Transfer Learning via Dimensionality Reduction. [BibTex]
    Sinno Jialin Pan, James T. Kwok and Qiang Yang.
    In Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI-08). Chicago, Illinois, USA. July 13-17, 2008. Pages 677-682. (Full paper)
80. Transferring Localization Models Across Space. [BibTex]
    Sinno Jialin Pan, Dou Shen, Qiang Yang and James T. Kwok.
    In Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI-08). Chicago, Illinois, USA. July 13-17, 2008. Pages 1383-1388. (Full paper)
81. Transferring Multi-device Localization Models using Latent Multi-task Learning. [BibTex]
    Vincent W. Zheng, Sinno Jialin Pan, Qiang Yang and Jeffrey J. Pan.
    In Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI-08). Chicago, Illinois, USA. July 13-17, 2008. Pages 1427-1432. (Full paper)
82. Real World Activity Recognition with Multiple Goals. [BibTex]
    Derek H. Hu, Sinno Jialin Pan, Vincent W. Zheng, Nathan N. Liu and Qiang Yang.
    In Proceedings of the 10th International Conference on Ubiquitous Computing (Ubicomp-08). Seoul, South Korea. September 21-24, 2008. Pages 30-39. (Full paper)
83. Adaptive Localization in a Dynamic WiFi Environment Through Multi-view Learning. [BibTex]
    Sinno Jialin Pan, James T. Kwok, Qiang Yang and Jeffrey J. Pan.
    In Proceedings of the 22nd AAAI Conference on Artificial Intelligence (AAAI-07). Vancouver, Canada. July 22-26, 2007. Pages 1108-1113. (Full paper)
84. Online Co-Localization in Indoor Wireless Networks. [BibTex]
    Jeffrey J. Pan, Qiang Yang and Sinno Jialin Pan.
    In Proceedings of the 22nd AAAI Conference on Artificial Intelligence (AAAI-07). Vancouver, Canada. July 22-26, 2007. Pages 1102-1107. (Full paper)

Others

Book Chapters (2)

1. 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 and Cyrus Shahabi.
   In Recommendation and Search in Social Networks. Ozgur Ulusoy, Abdullah Uz Tansel and Erol Arkun (eds.), Chapter 8, Series: Lecture Notes in Social Networks (LNSN) Series, Springer, Pages 165-187, 2015.
2. Transfer Learning. [Bibtex]
   Sinno Jialin Pan.
   In Data Classification: Algorithms and Applications. Charu Aggarwal (ed.), Chapter 21, CRC Press, Pages 537-570, 2014.

NLP Conferences Findings (1)

1. Sentiment Analysis in the Era of Large Language Models: A Reality Check. [Bibtex]
   Wenxuan Zhang, Yue Deng, Bing Liu, Sinno Jialin Pan, and Lidong Bing.
   To appear in Findings of the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-24).

Short Papers (7)

1. SOUL: Towards Sentiment and Opinion Understanding of Language. [Bibtex]
   Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, and Lidong Bing.
   In the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP-23). Dec. 6-10, 2023. Pages 8704-8711.
2. Modeling Trajectories with Multi-task Learning. [Bibtex]
   Kaijun Liu, Sijie Ruan, Qianxiong Xu, Cheng Long, Nan Hu, Nan Xiao, Liang Yu, and Sinno Jialin Pan.
   In Proceedings of the 23rd IEEE International Conference on Mobile Data Management (MDM-22). Paphos, Cyprus. Jun. 6-9, 2022. Pages 208-213.
3. Ensemble of Anchor Adapters for Transfer Learning. [Bibtex]
   Fuzhen Zhuang, Ping Luo, Sinno Jialin Pan, Hui Xiong, and Qing He.
   In Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM-16). Indianapolis, USA. October 24-28, 2016. Pages 2335-2340.
4. Heterogeneous Multi-task Semantic Feature Learning for Classification. [Bibtex]
   Xin Jin, Fuzhen Zhuang, Sinno Jialin Pan, Ping Luo, and Qing He.
   In Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM-15). Melbourne, Australia. October 19-23, 2015. Pages 1847-1850.
5. Exploiting Social Relations and Sentiment for Stock Prediction. [BibTex]
   Jianfeng Si, Arjun Mukherjee, Bing Liu, Sinno Jialin Pan, Qing Li and Huayi Li.
   In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP-14). Doha, Qatar. Oct. 26-28, 2014. Pages 1139-1145.
6. Graph-based Informative-Sentence Selection for Opinion Summarization. [BibTex]
   Linhong Zhu, Sheng Gao, Sinno Jialin Pan, Haizhou Li, Dingxiong Deng and Cyrus Shahabi.
   In Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM-13). Niagara Falls, Canada. August 25-28, 2013. Pages 408-412.
7. Domain-Constrained Semi-Supervised Mining of Tracking Models in Sensor Networks. [BibTex]
   Rong Pan, Junhui Zhao, Vincent W. Zheng, Jeffrey J. Pan, Dou Shen, Sinno Jialin Pan and Qiang Yang.
   In Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-07). Industry Track. San Jose, CA, USA, August 12-15, 2007. Pages 1023-1027.

Workshop Papers (10)

1. Conditional Graph Generation with Graph Principal Flow Network.
   Tianze Luo, Zhanfeng Mo, and Sinno Jialin Pan.
   In the ICML-23 Workshop on Structured Probabilistic Inference & Generative Modeling. July, 2023.
2. Variational Component Decoder for Source Extraction from Nonlinear Mixture.
   Shujie Zhang, Tianyue Zheng, Zhe Chen, Jun Luo, and Sinno Jialin Pan.
   In the ICLR-23 Workshop on Machine Learning for IoT: Datasets, Perception, and Understanding. May, 2023.
3. Reinforcement Learning with Efficient Active Feature Acquisition.
   Haiyan Yin, Yingzhen Li, Sinno Jialin Pan, Cheng Zhang and Sebastian Tschiatschek.
   In the NIPS-20 Workshop on Learning Meets Combinatorial Algorithms. December, 2020.
4. Improving Policy Generalization via Learning Domain Invariant Features with Adversarial Training.
   Haiyan Yin, Jianda Chen and Sinno Jialin Pan.
   In the NIPS-18 Workshop on Deep Reinforcement Learning. Montreal, Canada. December, 2018.
5. Domain Adaptive Semantic Segmentation through Structure Enhancement.
   Fengmao Lv, Qing Lian, Lixin Duan, Guowu Yang, Guosheng Lin and Sinno Jialin Pan.
   In the ECCV-18 Workshop on Transferring Knowledge and Adapting Source Knowledge in Computer Vision and VisDA Challenge. Munich, Germany. September, 2018.
6. An End-to-End Sparse Coding.
   Joey Tianyi Zhou, Ivor W. Tsang, Sinno Jialin Pan, Zheng Qin and Rick Siow Mong Goh.
   In the ICML-17 Workshop on Principled Approaches to Deep Learning. Sydney, Australia. August, 2017.
7. Knowledge Transfer among Heterogeneous Information Networks.
   Evan W. Xiang, Nathan N. Liu, Sinno Jialin Pan and Qiang Yang.
   In the ICDM-09 Workshop on Transfer Mining (TM-09). Miami, Florida, USA. December, 2009.
8. Transfer Learning for WiFi-based Indoor Localization.
   Sinno Jialin Pan, Vincent W. Zheng, Qiang Yang and Derek H. Hu.
   In the AAAI-08 Workshop on Transfer Learning for Complex Task. Chicago, Illinois, USA. July, 2008.
9. Digital Wall: A Power-efficient Solution for Location-based Data Sharing.
   Jeffrey J. Pan, Sinno Jialin Pan, Vincent W. Zheng and Qiang Yang.
   In Proceedings of the PerCom-08 Workshop on Power-Aware Pervasive Devices (PerDev-08). Hong Kong, China. March, 2008.
10. Learning Recursive HTN-Method Structures for Planning.
    Qiang Yang, Rong Pan and Sinno Jialin Pan.
    In Proceedings of the ICAPS-07 Workshop on AI Planning and Learning. Providence, Rhode Island, USA. September, 2007.

Interdisciplinary (5)

1. Analysis with Histogram of Connectivity: For Automated Evaluation of Piping Layout.
   Wei Chian Tan, I-Ming Chen, Sinno Jialin Pan and Hoon Kiang Tan.
   In IEEE Transactions on Automation Science and Engineering (IEEE TASE). Volume 15, NO. 2, Pages 381-392, 2018.
2. Transfer Learning with PipNet: For Automated Visual Analysis of Piping Design.
   Wei-Chian Tan, I-Ming Chen, Dimitrios Pantazis and Sinno Jialin Pan.
   In the 14th IEEE International Conference on Automation Science and Engineering (CASE-18). Munich, Germany, Aug. 20–24, 2018.
3. Automated Design Evaluation on Layout of Piping and Instrumentation Diagram using Histogram of Connectivity.
   Wei-Chian Tan, I-Ming Chen, Sinno Jialin Pan and Hoon Kiang Tan.
   In the 12th IEEE International Conference on Automation Science and Engineering (CASE-16). Fort Worth Texas, USA, Aug. 21-24, 2016. Pages 1295-1300.
4. Artificial Neural Network based Intracranial Pressure Mean Forecast Algorithm for Medical Decision Support
   Feng Zhang, Mengling Feng, Sinno Jialin Pan, Liangyu Loy, Wenyuan Guo, Zhuo Zhang, Pei Loon Chin, Cuntai Guan, Nicolas Kon Kam King and Beng Ti Ang.
   In Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC-11). Boston, Massachusetts, USA. August 30 - September 3, 2011.
5. Short-Term Trend Forecast of Neurophysiological Signals for Medical Decision Support.
   Feng Zhang, Mengling Feng, Sinno Jialin Pan, Liang Yu Loy, Wenyuan Guo, Zhuo Zhang, Cuntai Guan, Nicolas Kon Kam King and Beng Ti Ang.
   In the 2011 National Neurotrauma Symposium (NNS-11). Fort Lauderdale, Florida, USA. July 10-13, 2011.

PhD Thesis

1. Feature-based Transfer Learning with Real-world Applications.
   Jialin Pan.
   Hong Kong University of Science and Technology. 2010.