| 2026 | ACL | Analytical FFN-to-MoE Restructuring via Activation Pattern Analysis. | Zehua Pei, Hui-Ling Zhen, Lancheng Zou, Xianzhi Yu, Wulong Liu, Sinno Jialin Pan, Mingxuan Yuan, Bei Yu |
| 2025 | ACL | Reinforcing Compositional Retrieval: Retrieving Step-by-Step for Composing Informative Contexts. | Quanyu Long, Jianda Chen, Zhengyuan Liu, Nancy F. Chen, Wenya Wang, Sinno Jialin Pan |
| 2025 | ICLR | Probabilistic Neural Pruning via Sparsity Evolutionary Fokker-Planck-Kolmogorov Equation. | Zhanfeng Mo, Haosen Shi, Sinno Jialin Pan |
| 2025 | ICLR | Parameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization. | Zhanfeng Mo, Long-Kai Huang, Sinno Jialin Pan |
| 2025 | ICML | KVTuner: Sensitivity-Aware Layer-Wise Mixed-Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference. | Xing Li, Zeyu Xing, Yiming Li, Linping Qu, Hui-Ling Zhen, Yiwu Yao, Wulong Liu, Sinno Jialin Pan, Mingxuan Yuan |
| 2025 | ICML | Beyond Self-Interest: How Group Strategies Reshape Content Creation in Recommendation Platforms? | Yaolong Yu, Fan Yao, Sinno Jialin Pan |
| 2024 | AAAI | A Diffusion Model with State Estimation for Degradation-Blind Inverse Imaging. | Liya Ji, Zhefan Rao, Sinno Jialin Pan, Chenyang Lei, Qifeng Chen |
| 2024 | ACML | Convergence Analysis of Inexact Over-relaxed ADMM via Dissipativity Theory. | Qiang Zhou, Sinno Jialin Pan |
| 2024 | ICLR | Multilingual Jailbreak Challenges in Large Language Models. | Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing |
| 2024 | ICLR | Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network. | Tianze Luo, Zhanfeng Mo, Sinno Jialin Pan |
| 2024 | ICRA | 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 |
| 2024 | NAACL | Sentiment Analysis in the Era of Large Language Models: A Reality Check. | Wenxuan Zhang, Yue Deng, Bing Liu, Sinno Jialin Pan, Lidong Bing |
| 2024 | WWW | Graph Principal Flow Network for Conditional Graph Generation. | Zhanfeng Mo, Tianze Luo, Sinno Jialin Pan |
| 2023 | ACL | Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis. | Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing |
| 2023 | EMNLP | SOUL: Towards Sentiment and Opinion Understanding of Language. | Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing |
| 2023 | EMNLP | Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning. | Quanyu Long, Wenya Wang, Sinno Jialin Pan |
| 2023 | ICCV | Deep Multitask Learning with Progressive Parameter Sharing. | Haosen Shi, Shen Ren, Tianwei Zhang, Sinno Jialin Pan |
| 2023 | ICDE | Distribution-Regularized Federated Learning on Non-IID Data. | Yansheng Wang, Yongxin Tong, Zimu Zhou, Ruisheng Zhang, Sinno Jialin Pan, Lixin Fan, Qiang Yang |
| 2023 | ICML | Pruning via Sparsity-indexed ODE: a Continuous Sparsity Viewpoint. | Zhanfeng Mo, Haosen Shi, Sinno Jialin Pan |
| 2023 | KDD | Trustworthy Machine Learning: Robustness, Generalization, and Interpretability. | Jindong Wang, Haoliang Li, Haohan Wang, Sinno Jialin Pan, Xing Xie |
| 2023 | WSDM | A Tutorial on Domain Generalization. | Jindong Wang, Haoliang Li, Sinno Jialin Pan, Xing Xie |
| 2022 | ACL | Deep Inductive Logic Reasoning for Multi-Hop Reading Comprehension. | Wenya Wang, Sinno Jialin Pan |
| 2022 | ICLR | Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities. | Jianda Chen, Sinno Jialin Pan |
| 2022 | MDM | Modeling Trajectories with Multi-task Learning. | Kaijun Liu, Sijie Ruan, Qianxiong Xu, Cheng Long, Nan Xiao, Nan Hu, Liang Yu, Sinno Jialin Pan |
| 2022 | NAACL | Domain Confused Contrastive Learning for Unsupervised Domain Adaptation. | Quanyu Long, Tianze Luo, Wenya Wang, Sinno Jialin Pan |
| 2022 | UAI | Convergence Analysis of Linear Coupling with Inexact Proximal Operator. | Qiang Zhou, Sinno Jialin Pan |
| 2021 | AAAI | Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks. | Yu Chen, Sinno Jialin Pan |
| 2021 | AAAI | Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition. | Hangwei Qian, Sinno Jialin Pan, Chunyan Miao |
| 2021 | AAAI | Sequential Generative Exploration Model for Partially Observable Reinforcement Learning. | Haiyan Yin, Jianda Chen, Sinno Jialin Pan, Sebastian Tschiatschek |
| 2021 | CIKM | AdaRNN: Adaptive Learning and Forecasting of Time Series. | Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang |
| 2021 | ICDE | EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting. | Razvan-Gabriel Cirstea, Tung Kieu, Chenjuan Guo, Bin Yang, Sinno Jialin Pan |
| 2021 | KDD | Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions. | Tianbo Li, Tianze Luo, Yiping Ke, Sinno Jialin Pan |
| 2021 | RecSys | Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems. | Danni Peng, Sinno Jialin Pan, Jie Zhang, Anxiang Zeng |
| 2020 | AAAI | Transfer Value Iteration Networks. | Junyi Shen, Hankz Hankui Zhuo, Jin Xu, Bin Zhong, Sinno Jialin Pan |
| 2020 | AAAI | Integrating Deep Learning with Logic Fusion for Information Extraction. | Wenya Wang, Sinno Jialin Pan |
| 2020 | EMNLP | Deep Weighted MaxSAT for Aspect-based Opinion Extraction. | Meixi Wu, Wenya Wang, Sinno Jialin Pan |
| 2020 | ICML | Communication-Efficient Distributed PCA by Riemannian Optimization. | Long-Kai Huang, Sinno Jialin Pan |
| 2019 | AAAI | Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data. | Shangyu Chen, Wenya Wang, Sinno Jialin Pan |
| 2019 | AAAI | Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding. | Haoliang Li, Sinno Jialin Pan, Renjie Wan, Alex C. Kot |
| 2019 | AAAI | Distribution-Based Semi-Supervised Learning for Activity Recognition. | Hangwei Qian, Sinno Jialin Pan, Chunyan Miao |
| 2019 | AAAI | Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion Extraction. | Wenya Wang, Sinno Jialin Pan |
| 2019 | ICCV | Accelerate Learning of Deep Hashing With Gradient Attention. | Long-Kai Huang, Jianda Chen, Sinno Jialin Pan |
| 2019 | IJCAI | Cooperative Pruning in Cross-Domain Deep Neural Network Compression. | Shangyu Chen, Wenya Wang, Sinno Jialin Pan |
| 2019 | IJCAI | A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition. | Hangwei Qian, Sinno Jialin Pan, Bingshui Da, Chunyan Miao |
| 2018 | AAAI | Sensor-Based Activity Recognition via Learning From Distributions. | Hangwei Qian, Sinno Jialin Pan, Chunyan Miao |
| 2018 | AAAI | Data Poisoning Attacks on Multi-Task Relationship Learning. | Mengchen Zhao, Bo An, Yaodong Yu, Sulin Liu, Sinno Jialin Pan |
| 2018 | AAAI | 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 |
| 2018 | ACL | Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-Extraction. | Wenya Wang, Sinno Jialin Pan |
| 2018 | CVPR | Domain Generalization With Adversarial Feature Learning. | Haoliang Li, Sinno Jialin Pan, Shiqi Wang, Alex C. Kot |
| 2018 | ECCV | Domain Adaptive Semantic Segmentation Through Structure Enhancement. | Fengmao Lv, Qing Lian, Guowu Yang, Guosheng Lin, Sinno Jialin Pan, Lixin Duan |
| 2018 | IJCAI | Transition-based Adversarial Network for Cross-lingual Aspect Extraction. | Wenya Wang, Sinno Jialin Pan |
| 2018 | IJCAI | Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning. | Haiyan Yin, Jianda Chen, Sinno Jialin Pan |
| 2017 | AAAI | Distant Domain Transfer Learning. | Ben Tan, Yu Zhang, Sinno Jialin Pan, Qiang Yang |
| 2017 | AAAI | Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms. | Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao |
| 2017 | AAAI | Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay. | Haiyan Yin, Sinno Jialin Pan |
| 2017 | IJCAI | Adaptive Group Sparse Multi-task Learning via Trace Lasso. | Sulin Liu, Sinno Jialin Pan |
| 2017 | INFOCOM | WOLoc: WiFi-only outdoor localization using crowdsensed hotspot labels. | Jin Wang, Nicholas Tan, Jun Luo, Sinno Jialin Pan |
| 2017 | KDD | Distributed Multi-Task Relationship Learning. | Sulin Liu, Sinno Jialin Pan, Qirong Ho |
| 2017 | PERCOM | CeilingSee: Device-free occupancy inference through lighting infrastructure based LED sensing. | Yanbing Yang, Jie Hao, Jun Luo, Sinno Jialin Pan |
| 2017 | UAI | Communication-Efficient Distributed Primal-Dual Algorithm for Saddle Point Problem. | Yaodong Yu, Sulin Liu, Sinno Jialin Pan |
| 2016 | AAAI | Transfer Learning for Cross-Language Text Categorization through Active Correspondences Construction. | Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang, Shen-Shyang Ho |
| 2016 | CIKM | Ensemble of Anchor Adapters for Transfer Learning. | Fuzhen Zhuang, Ping Luo, Sinno Jialin Pan, Hui Xiong, Qing He |
| 2016 | EMNLP | Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis. | Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao |
| 2016 | IJCAI | Class-Wise Supervised Hashing with Label Embedding and Active Bits. | Long-Kai Huang, Sinno Jialin Pan |
| 2016 | IJCAI | Collaborative Evolution for User Profiling in Recommender Systems. | Zhongqi Lu, Sinno Jialin Pan, Yong Li, Jie Jiang, Qiang Yang |
| 2016 | IJCAI | Matrix Factorization+ for Movie Recommendation. | Lili Zhao, Zhongqi Lu, Sinno Jialin Pan, Qiang Yang |
| 2016 | IJCAI | Transfer Hashing with Privileged Information. | Joey Tianyi Zhou, Xinxing Xu, Sinno Jialin Pan, Ivor W. Tsang, Zheng Qin, Rick Siow Mong Goh |
| 2015 | CIKM | Heterogeneous Multi-task Semantic Feature Learning for Classification. | Xin Jin, Fuzhen Zhuang, Sinno Jialin Pan, Changying Du, Ping Luo, Qing He |
| 2015 | IJCAI | Short and Sparse Text Topic Modeling via Self-Aggregation. | Xiaojun Quan, Chunyu Kit, Yong Ge, Sinno Jialin Pan |
| 2015 | IJCAI | Supervised Representation Learning: Transfer Learning with Deep Autoencoders. | Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He |
| 2014 | AAAI | Source Free Transfer Learning for Text Classification. | Zhongqi Lu, Yin Zhu, Sinno Jialin Pan, Evan Wei Xiang, Yujing Wang, Qiang Yang |
| 2014 | AAAI | Hybrid Heterogeneous Transfer Learning through Deep Learning. | Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang, Yan Yan |
| 2014 | AISTATS | Heterogeneous Domain Adaptation for Multiple Classes. | Joey Tianyi Zhou, Ivor W. Tsang, Sinno Jialin Pan, Mingkui Tan |
| 2014 | EMNLP | Exploiting Social Relations and Sentiment for Stock Prediction. | Jianfeng Si, Arjun Mukherjee, Bing Liu, Sinno Jialin Pan, Qing Li, Huayi Li |
| 2014 | ICML | Riemannian Pursuit for Big Matrix Recovery. | Mingkui Tan, Ivor W. Tsang, Li Wang, Bart Vandereycken, Sinno Jialin Pan |
| 2013 | AAAI | Active Transfer Learning for Cross-System Recommendation. | Lili Zhao, Sinno Jialin Pan, Evan Wei Xiang, Erheng Zhong, Zhongqi Lu, Qiang Yang |
| 2013 | CIKM | Predicting user activity level in social networks. | Yin Zhu, Erheng Zhong, Sinno Jialin Pan, Xiao Wang, Minzhe Zhou, Qiang Yang |
| 2013 | IJCAI | Transfer learning with applications on text, sensors and images. | Sinno Jialin Pan |
| 2013 | ICSE | Transfer defect learning. | Jaechang Nam, Sinno Jialin Pan, Sunghun Kim |
| 2012 | ACL | Cross-Domain Co-Extraction of Sentiment and Topic Lexicons. | Fangtao Li, Sinno Jialin Pan, Ou Jin, Qiang Yang, Xiaoyan Zhu |
| 2012 | KDD | Multi-domain active learning for text classification. | Lianghao Li, Xiaoming Jin, Sinno Jialin Pan, Jian-Tao Sun |
| 2011 | AAAI | Heterogeneous Transfer Learning for Image Classification. | Yin Zhu, Yuqiang Chen, Zhongqi Lu, Sinno Jialin Pan, Gui-Rong Xue, Yong Yu, Qiang Yang |
| 2011 | IJCAI | Source-Selection-Free Transfer Learning. | Evan Wei Xiang, Sinno Jialin Pan, Weike Pan, Jian Su, Qiang Yang |
| 2011 | IJCNLP | A Unified Event Coreference Resolution by Integrating Multiple Resolvers. | Bin Chen, Jian Su, Sinno Jialin Pan, Chew Lim Tan |
| 2010 | AAAI | Adaptive Transfer Learning. | Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung, Qiang Yang |
| 2010 | WWW | Cross-domain sentiment classification via spectral feature alignment. | Sinno Jialin Pan, Xiaochuan Ni, Jian-Tao Sun, Qiang Yang, Zheng Chen |
| 2009 | ICDM | Knowledge Transfer among Heterogeneous Information Networks. | Evan Wei Xiang, Nathan Nan Liu, Sinno Jialin Pan, Qiang Yang |
| 2009 | IJCAI | Domain Adaptation via Transfer Component Analysis. | Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qiang Yang |
| 2008 | AAAI | Transfer Learning via Dimensionality Reduction. | Sinno Jialin Pan, James T. Kwok, Qiang Yang |
| 2008 | AAAI | Transferring Localization Models across Space. | Sinno Jialin Pan, Dou Shen, Qiang Yang, James T. Kwok |
| 2008 | AAAI | Transferring Multi-device Localization Models using Latent Multi-task Learning. | Vincent Wenchen Zheng, Sinno Jialin Pan, Qiang Yang, Jeffrey Junfeng Pan |
| 2008 | PERCOM | Digital Wall: A Power-efficient Solution for Location-based Data Sharing. | Jeffrey Junfeng Pan, Sinno Jialin Pan, Vincent Wenchen Zheng, Qiang Yang |
| 2007 | AAAI | Adaptive Localization in a Dynamic WiFi Environment through Multi-view Learning. | Sinno Jialin Pan, James T. Kwok, Qiang Yang, Jeffrey Junfeng Pan |
| 2007 | AAAI | Online Co-Localization in Indoor Wireless Networks by Dimension Reduction. | Jeffrey Junfeng Pan, Qiang Yang, Sinno Jialin Pan |
| 2007 | KDD | 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 |