Pan, Sinno Jialin

66 publications

ICML 2025 Beyond Self-Interest: How Group Strategies Reshape Content Creation in Recommendation Platforms? Yaolong Yu, Fan Yao, Sinno Jialin Pan
NeurIPS 2025 GLID$^2$E: A Gradient-Free Lightweight Fine-Tune Approach for Discrete Biological Sequence Design Hanqun Cao, Haosen Shi, Chenyu Wang, Sinno Jialin Pan, Pheng-Ann Heng
ICLRW 2025 GLID$^2$E: A Gradient-Free Lightweight Fine-Tune Approach for Discrete Sequence Design Hanqun Cao, Haosen Shi, Chenyu Wang, Sinno Jialin Pan, Pheng-Ann Heng
ICML 2025 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
NeurIPS 2025 MetaDefense: Defending Fine-Tuning Based Jailbreak Attack Before and During Generation Weisen Jiang, Sinno Jialin Pan
ICLR 2025 Parameter and Memory Efficient Pretraining via Low-Rank Riemannian Optimization Zhanfeng Mo, Long-Kai Huang, Sinno Jialin Pan
ICLR 2025 Probabilistic Neural Pruning via Sparsity Evolutionary Fokker-Planck-Kolmogorov Equation Zhanfeng Mo, Haosen Shi, Sinno Jialin Pan
AAAI 2024 A Diffusion Model with State Estimation for Degradation-Blind Inverse Imaging Liya Ji, Zhefan Rao, Sinno Jialin Pan, Chenyang Lei, Qifeng Chen
ACML 2024 Convergence Analysis of Inexact Over-Relaxed ADMM via Dissipativity Theory Qiang Zhou, Sinno Jialin Pan
ICLR 2024 Learning Adaptive Multiresolution Transforms via Meta-Framelet-Based Graph Convolutional Network Tianze Luo, Zhanfeng Mo, Sinno Jialin Pan
ICLR 2024 Multilingual Jailbreak Challenges in Large Language Models Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing
NeurIPS 2024 State Chrono Representation for Enhancing Generalization in Reinforcement Learning Jianda Chen, Wen Zheng Terence Ng, Zichen Chen, Sinno Jialin Pan, Tianwei Zhang
ICMLW 2023 Conditional Graph Generation with Graph Principal Flow Network Tianze Luo, Zhanfeng Mo, Sinno Jialin Pan
ICCV 2023 Deep Multitask Learning with Progressive Parameter Sharing Haosen Shi, Shen Ren, Tianwei Zhang, Sinno Jialin Pan
ICML 2023 Pruning via Sparsity-Indexed ODE: A Continuous Sparsity Viewpoint Zhanfeng Mo, Haosen Shi, Sinno Jialin Pan
JMLR 2022 On Acceleration for Convex Composite Minimization with Noise-Corrupted Gradients and Approximate Proximal Mapping Qiang Zhou, Sinno Jialin Pan
AAAI 2021 Latent Independent Excitation for Generalizable Sensor-Based Cross-Person Activity Recognition Hangwei Qian, Sinno Jialin Pan, Chunyan Miao
AAAI 2021 Sequential Generative Exploration Model for Partially Observable Reinforcement Learning Haiyan Yin, Jianda Chen, Sinno Jialin Pan, Sebastian Tschiatschek
AAAI 2021 Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks Yu Chen, Sinno Jialin Pan
MLJ 2020 Communication-Efficient Distributed Multi-Task Learning with Matrix Sparsity Regularization Qiang Zhou, Yu Chen, Sinno Jialin Pan
AAAI 2020 Integrating Deep Learning with Logic Fusion for Information Extraction Wenya Wang, Sinno Jialin Pan
NeurIPS 2020 Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning Jianda Chen, Shangyu Chen, Sinno Jialin Pan
AAAI 2020 Transfer Value Iteration Networks Junyi Shen, Hankz Hankui Zhuo, Jin Xu, Bin Zhong, Sinno Jialin Pan
IJCAI 2019 A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition Hangwei Qian, Sinno Jialin Pan, Bingshui Da, Chunyan Miao
IJCAI 2019 Cooperative Pruning in Cross-Domain Deep Neural Network Compression Shangyu Chen, Wenya Wang, Sinno Jialin Pan
AAAI 2019 Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data Shangyu Chen, Wenya Wang, Sinno Jialin Pan
AAAI 2019 Distribution-Based Semi-Supervised Learning for Activity Recognition Hangwei Qian, Sinno Jialin Pan, Chunyan Miao
AAAI 2019 Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding Haoliang Li, Sinno Jialin Pan, Renjie Wan, Alex C. Kot
NeurIPS 2019 MetaQuant: Learning to Quantize by Learning to Penetrate Non-Differentiable Quantization Shangyu Chen, Wenya Wang, Sinno Jialin Pan
JMLR 2019 Multi-Class Heterogeneous Domain Adaptation Joey Tianyi Zhou, Ivor W. Tsang, Sinno Jialin Pan, Mingkui Tan
AAAI 2019 Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion Extraction Wenya Wang, Sinno Jialin Pan
AAAI 2018 Data Poisoning Attacks on Multi-Task Relationship Learning Mengchen Zhao, Bo An, Yaodong Yu, Sulin Liu, Sinno Jialin Pan
ECCVW 2018 Domain Adaptive Semantic Segmentation Through Structure Enhancement Fengmao Lv, Qing Lian, Guowu Yang, Guosheng Lin, Sinno Jialin Pan, Lixin Duan
IJCAI 2018 Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning Haiyan Yin, Jianda Chen, Sinno Jialin Pan
AAAI 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
AAAI 2018 Sensor-Based Activity Recognition via Learning from Distributions Hangwei Qian, Sinno Jialin Pan, Chunyan Miao
IJCAI 2018 Transition-Based Adversarial Network for Cross-Lingual Aspect Extraction Wenya Wang, Sinno Jialin Pan
IJCAI 2017 Adaptive Group Sparse Multi-Task Learning via Trace Lasso Sulin Liu, Sinno Jialin Pan
UAI 2017 Communication-Efficient Distributed Primal-Dual Algorithm for Saddle Point Problem Yaodong Yu, Sulin Liu, Sinno Jialin Pan
AAAI 2017 Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao
AAAI 2017 Distant Domain Transfer Learning Ben Tan, Yu Zhang, Sinno Jialin Pan, Qiang Yang
AAAI 2017 Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay Haiyan Yin, Sinno Jialin Pan
IJCAI 2016 Class-Wise Supervised Hashing with Label Embedding and Active Bits Long-Kai Huang, Sinno Jialin Pan
IJCAI 2016 Collaborative Evolution for User Profiling in Recommender Systems Zhongqi Lu, Sinno Jialin Pan, Yong Li, Jie Jiang, Qiang Yang
IJCAI 2016 Matrix Factorization+ for Movie Recommendation Lili Zhao, Zhongqi Lu, Sinno Jialin Pan, Qiang Yang
IJCAI 2016 Transfer Hashing with Privileged Information Joey Tianyi Zhou, Xinxing Xu, Sinno Jialin Pan, Ivor W. Tsang, Zheng Qin, Rick Siow Mong Goh
AAAI 2016 Transfer Learning for Cross-Language Text Categorization Through Active Correspondences Construction Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang, Shen-Shyang Ho
IJCAI 2015 Short and Sparse Text Topic Modeling via Self-Aggregation Xiaojun Quan, Chunyu Kit, Yong Ge, Sinno Jialin Pan
IJCAI 2015 Supervised Representation Learning: Transfer Learning with Deep Autoencoders Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He
AISTATS 2014 Heterogeneous Domain Adaptation for Multiple Classes Joey Tianyi Zhou, Ivor W. Tsang, Sinno Jialin Pan, Mingkui Tan
AAAI 2014 Hybrid Heterogeneous Transfer Learning Through Deep Learning Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang, Yan Yan
ICML 2014 Riemannian Pursuit for Big Matrix Recovery Mingkui Tan, Ivor W. Tsang, Li Wang, Bart Vandereycken, Sinno Jialin Pan
AAAI 2014 Source Free Transfer Learning for Text Classification Zhongqi Lu, Yin Zhu, Sinno Jialin Pan, Evan Wei Xiang, Yujing Wang, Qiang Yang
ECML-PKDD 2014 Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders Fuzhen Zhuang, Xiaohu Cheng, Sinno Jialin Pan, Wenchao Yu, Qing He, Zhongzhi Shi
AAAI 2013 Active Transfer Learning for Cross-System Recommendation Lili Zhao, Sinno Jialin Pan, Evan Wei Xiang, Erheng Zhong, Zhongqi Lu, Qiang Yang
IJCAI 2013 Transfer Learning with Applications on Text, Sensors and Images Sinno Jialin Pan
ACML 2012 Multi-View Positive and Unlabeled Learning Joey Tianyi Zhou, Sinno Jialin Pan, Qi Mao, Ivor W. Tsang
AAAI 2011 Heterogeneous Transfer Learning for Image Classification Yin Zhu, Yuqiang Chen, Zhongqi Lu, Sinno Jialin Pan, Gui-Rong Xue, Yong Yu, Qiang Yang
IJCAI 2011 Source-Selection-Free Transfer Learning Evan Wei Xiang, Sinno Jialin Pan, Weike Pan, Jian Su, Qiang Yang
AAAI 2010 Adaptive Transfer Learning Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung, Qiang Yang
IJCAI 2009 Domain Adaptation via Transfer Component Analysis Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qiang Yang
AAAI 2008 Transfer Learning via Dimensionality Reduction Sinno Jialin Pan, James T. Kwok, Qiang Yang
AAAI 2008 Transferring Localization Models Across Space Sinno Jialin Pan, Dou Shen, Qiang Yang, James T. Kwok
AAAI 2008 Transferring Multi-Device Localization Models Using Latent Multi-Task Learning Vincent Wenchen Zheng, Sinno Jialin Pan, Qiang Yang, Jeffrey Junfeng Pan
AAAI 2007 Adaptive Localization in a Dynamic WiFi Environment Through Multi-View Learning Sinno Jialin Pan, James T. Kwok, Qiang Yang, Jeffrey Junfeng Pan
AAAI 2007 Online Co-Localization in Indoor Wireless Networks by Dimension Reduction Jeffrey Junfeng Pan, Qiang Yang, Sinno Jialin Pan