Sinno Jialin Pan

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 111

Top Venues

Publications

Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing
Multilingual Jailbreak Challenges in Large Language Models. ICLR (2024)
Zhanfeng Mo, Tianze Luo, Sinno Jialin Pan
Graph Principal Flow Network for Conditional Graph Generation. WWW (2024)
Quanyu Long, Yin Wu, Wenya Wang, Sinno Jialin Pan
Decomposing Label Space, Format and Discrimination: Rethinking How LLMs Respond and Solve Tasks via In-Context Learning. CoRR (2024)
Liya Ji, Zhefan Rao, Sinno Jialin Pan, Chenyang Lei, Qifeng Chen
A Diffusion Model with State Estimation for Degradation-Blind Inverse Imaging. AAAI (2024)
Tianze Luo, Zhanfeng Mo, Sinno Jialin Pan
Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network. ICLR (2024)
Quanyu Long, Yue Deng, Leilei Gan, Wenya Wang, Sinno Jialin Pan
Backdoor Attacks on Dense Passage Retrievers for Disseminating Misinformation. CoRR (2024)
Tianze Luo, Zhanfeng Mo, Sinno Jialin Pan
Fast Graph Generation via Spectral Diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Wen Zheng Terence Ng, Jianda Chen, Sinno Jialin Pan, Tianwei Zhang
Improving the Generalization of Unseen Crowd Behaviors for Reinforcement Learning based Local Motion Planners. ICRA (2024)
Ziyan Wang, Mohamed Ragab, Wenmian Yang, Min Wu, Sinno Jialin Pan, Jie Zhang, Zhenghua Chen
Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis. CoRR (2024)
Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing
SOUL: Towards Sentiment and Opinion Understanding of Language. EMNLP (2023)
Haosen Shi, Shen Ren, Tianwei Zhang, Sinno Jialin Pan
Deep Multitask Learning with Progressive Parameter Sharing. ICCV (2023)
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)
Quanyu Long, Wenya Wang, Sinno Jialin Pan
Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning. CoRR (2023)
Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing
Multilingual Jailbreak Challenges in Large Language Models. CoRR (2023)
Danni Peng, Sinno Jialin Pan
Clustered Task-Aware Meta-Learning by Learning From Learning Paths. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing
SOUL: Towards Sentiment and Opinion Understanding of Language. CoRR (2023)
Jindong Wang, Haoliang Li, Sinno Jialin Pan, Xing Xie
A Tutorial on Domain Generalization. WSDM (2023)
Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing
Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis. ACL (1) (2023)
Zhanfeng Mo, Haosen Shi, Sinno Jialin Pan
Pruning via Sparsity-indexed ODE: a Continuous Sparsity Viewpoint. ICML (2023)
Wenxuan Zhang, Yue Deng, Bing Liu, Sinno Jialin Pan, Lidong Bing
Sentiment Analysis in the Era of Large Language Models: A Reality Check. CoRR (2023)
Long-Kai Huang, Peilin Zhao, Junzhou Huang, Sinno Jialin Pan
Retaining Beneficial Information from Detrimental Data for Neural Network Repair. NeurIPS (2023)
Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing
Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis. CoRR (2023)
Jindong Wang, Haoliang Li, Haohan Wang, Sinno Jialin Pan, Xing Xie
Trustworthy Machine Learning: Robustness, Generalization, and Interpretability. KDD (2023)
Quanyu Long, Wenya Wang, Sinno Jialin Pan
Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning. EMNLP (2023)
Jianda Chen, Sinno Jialin Pan
Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities. CoRR (2022)
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 (2022)
Quanyu Long, Tianze Luo, Wenya Wang, Sinno Jialin Pan
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation. CoRR (2022)
Quanyu Long, Tianze Luo, Wenya Wang, Sinno Jialin Pan
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation. NAACL-HLT (2022)
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)
Qiang Zhou, Sinno Jialin Pan
On Acceleration for Convex Composite Minimization with Noise-Corrupted Gradients and Approximate Proximal Mapping. J. Mach. Learn. Res. 23 (2022)
Tianze Luo, Zhanfeng Mo, Sinno Jialin Pan
Fast Graph Generation via Spectral Diffusion. CoRR (2022)
Jianda Chen, Sinno Jialin Pan
Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities. ICLR (2022)
Qiang Zhou, Sinno Jialin Pan
Convergence Analysis of Linear Coupling with Inexact Proximal Operator. UAI (2022)
Wenya Wang, Sinno Jialin Pan
Deep Inductive Logic Reasoning for Multi-Hop Reading Comprehension. ACL (1) (2022)
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) (2022)
Jianda Chen, Sinno Jialin Pan
Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning. NeurIPS (2022)
Danni Peng, Sinno Jialin Pan
Learning Gradient-based Mixup towards Flatter Minima for Domain Generalization. CoRR (2022)
Hangwei Qian, Sinno Jialin Pan, Chunyan Miao
Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition. AAAI (2021)
Haiyan Yin, Jianda Chen, Sinno Jialin Pan, Sebastian Tschiatschek
Sequential Generative Exploration Model for Partially Observable Reinforcement Learning. AAAI (2021)
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)
Wenya Wang, Sinno Jialin Pan
Variational Deep Logic Network for Joint Inference of Entities and Relations. Comput. Linguistics 47 (4) (2021)
Tianbo Li, Tianze Luo, Yiping Ke, Sinno Jialin Pan
Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions. KDD (2021)
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) (2021)
Razvan-Gabriel Cirstea, Tung Kieu, Chenjuan Guo, Bin Yang, Sinno Jialin Pan
EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting. ICDE (2021)
Danni Peng, Sinno Jialin Pan, Jie Zhang, Anxiang Zeng
Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems. CoRR (2021)
Hangwei Qian, Sinno Jialin Pan, Chunyan Miao
Weakly-supervised sensor-based activity segmentation and recognition via learning from distributions. Artif. Intell. 292 (2021)
Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang
AdaRNN: Adaptive Learning and Forecasting of Time Series. CoRR (2021)
Danni Peng, Sinno Jialin Pan, Jie Zhang, Anxiang Zeng
Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems. RecSys (2021)
Tianbo Li, Tianze Luo, Yiping Ke, Sinno Jialin Pan
Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions. CoRR (2021)
Yu Chen, Sinno Jialin Pan
Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks. AAAI (2021)
Wenya Wang, Sinno Jialin Pan
Integrating Deep Learning with Logic Fusion for Information Extraction. AAAI (2020)
Long-Kai Huang, Sinno Jialin Pan
Communication-Efficient Distributed PCA by Riemannian Optimization. ICML (2020)
Jianda Chen, Shangyu Chen, Sinno Jialin Pan
Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning. NeurIPS (2020)
Haiyan Yin, Yingzhen Li, Sinno Jialin Pan, Cheng Zhang, Sebastian Tschiatschek
Reinforcement Learning with Efficient Active Feature Acquisition. CoRR (2020)
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) (2020)
Junyi Shen, Hankz Hankui Zhuo, Jin Xu, Bin Zhong, Sinno Jialin Pan
Transfer Value Iteration Networks. AAAI (2020)
Meixi Wu, Wenya Wang, Sinno Jialin Pan
Deep Weighted MaxSAT for Aspect-based Opinion Extraction. EMNLP (1) (2020)
Qiang Zhou, Yu Chen, Sinno Jialin Pan
Communication-efficient distributed multi-task learning with matrix sparsity regularization. Mach. Learn. 109 (3) (2020)
Wenya Wang, Sinno Jialin Pan
Integrating Deep Learning with Logic Fusion for Information Extraction. CoRR (2019)
Joey Tianyi Zhou, Ivor W. Tsang, Sinno Jialin Pan, Mingkui Tan
Multi-class Heterogeneous Domain Adaptation. J. Mach. Learn. Res. 20 (2019)
Hangwei Qian, Sinno Jialin Pan, Chunyan Miao
Distribution-Based Semi-Supervised Learning for Activity Recognition. AAAI (2019)
Shangyu Chen, Wenya Wang, Sinno Jialin Pan
Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data. AAAI (2019)
Jin Wang, Jun Luo, Sinno Jialin Pan, Aixin Sun
Learning-Based Outdoor Localization Exploiting Crowd-Labeled WiFi Hotspots. IEEE Trans. Mob. Comput. 18 (4) (2019)
Haoliang Li, Sinno Jialin Pan, Renjie Wan, Alex C. Kot
Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding. AAAI (2019)
Long-Kai Huang, Jianda Chen, Sinno Jialin Pan
Accelerate Learning of Deep Hashing With Gradient Attention. ICCV (2019)
Wenya Wang, Sinno Jialin Pan
Syntactically Meaningful and Transferable Recursive Neural Networks for Aspect and Opinion Extraction. Comput. Linguistics 45 (4) (2019)
Shangyu Chen, Wenya Wang, Sinno Jialin Pan
MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization. NeurIPS (2019)
Junyi Shen, Hankz Hankui Zhuo, Jin Xu, Bin Zhong, Sinno Jialin Pan
Transfer Value Iteration Networks. CoRR (2019)
Hangwei Qian, Sinno Jialin Pan, Bingshui Da, Chunyan Miao
A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition. IJCAI (2019)
Wenya Wang, Sinno Jialin Pan
Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion Extraction. AAAI (2019)
Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang
A deep learning framework for Hybrid Heterogeneous Transfer Learning. Artif. Intell. 275 (2019)
Shangyu Chen, Wenya Wang, Sinno Jialin Pan
Cooperative Pruning in Cross-Domain Deep Neural Network Compression. IJCAI (2019)
Fengmao Lv, Qing Lian, Guowu Yang, Guosheng Lin, Sinno Jialin Pan, Lixin Duan
Domain Adaptive Semantic Segmentation Through Structure Enhancement. ECCV Workshops (2) (2018)
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) (2018)
Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier
Memory networks for fine-grained opinion mining. Artif. Intell. 265 (2018)
Yanbing Yang, Jun Luo, Jie Hao, Sinno Jialin Pan
Counting via LED sensing: Inferring occupancy using lighting infrastructure. Pervasive Mob. Comput. 45 (2018)
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) (2018)
Wenya Wang, Sinno Jialin Pan
Transition-based Adversarial Network for Cross-lingual Aspect Extraction. IJCAI (2018)
Haoliang Li, Sinno Jialin Pan, Shiqi Wang, Alex C. Kot
Domain Generalization With Adversarial Feature Learning. CVPR (2018)
Wei-Chian Tan, I-Ming Chen, Dimitrios Pantazis, Sinno Jialin Pan
Transfer Learning with PipNet: For Automated Visual Analysis of Piping Design. CASE (2018)
Mengchen Zhao, Bo An, Yaodong Yu, Sulin Liu, Sinno Jialin Pan
Data Poisoning Attacks on Multi-Task Relationship Learning. AAAI (2018)
Wenya Wang, Sinno Jialin Pan
Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-Extraction. ACL (1) (2018)
Hangwei Qian, Sinno Jialin Pan, Chunyan Miao
Sensor-Based Activity Recognition via Learning From Distributions. AAAI (2018)
Haiyan Yin, Jianda Chen, Sinno Jialin Pan
Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning. IJCAI (2018)
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)
Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier
Multi-task Coupled Attentions for Category-specific Aspect and Opinion Terms Co-extraction. CoRR (2017)
Lili Zhao, Sinno Jialin Pan, Qiang Yang
A unified framework of active transfer learning for cross-system recommendation. Artif. Intell. 245 (2017)
Ben Tan, Yu Zhang, Sinno Jialin Pan, Qiang Yang
Distant Domain Transfer Learning. AAAI (2017)
Sulin Liu, Sinno Jialin Pan, Qirong Ho
Distributed Multi-Task Relationship Learning. KDD (2017)
Yanbing Yang, Jie Hao, Jun Luo, Sinno Jialin Pan
CeilingSee: Device-free occupancy inference through lighting infrastructure based LED sensing. PerCom (2017)
Haiyan Yin, Sinno Jialin Pan
Hashing Over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning. CoRR (2017)
Jin Wang, Nicholas Tan, Jun Luo, Sinno Jialin Pan
WOLoc: WiFi-only outdoor localization using crowdsensed hotspot labels. INFOCOM (2017)
Yaodong Yu, Sulin Liu, Sinno Jialin Pan
Communication-Efficient Distributed Primal-Dual Algorithm for Saddle Point Problem. UAI (2017)
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) (2017)
Sulin Liu, Sinno Jialin Pan
Adaptive Group Sparse Multi-task Learning via Trace Lasso. IJCAI (2017)
Xin Dong, Shangyu Chen, Sinno Jialin Pan
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon. CoRR (2017)
Xin Dong, Shangyu Chen, Sinno Jialin Pan
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon. NIPS (2017)
Haiyan Yin, Sinno Jialin Pan
Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay. AAAI (2017)
Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao
Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms. AAAI (2017)
Long-Kai Huang, Sinno Jialin Pan
Class-Wise Supervised Hashing with Label Embedding and Active Bits. IJCAI (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sinno Jialin Pan