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Sinno Jialin Pan

49 papers · 2011–2026 · 14 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (17) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (6) 🐣 Hot Topic Early Bird
πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (17) 🀝 Dynamic Duo (10) πŸ† Grand Slam πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (168) πŸš€ Conference Pioneer ⚑ Prolific Year (9) πŸ”₯ Unstoppable (12) ❓ The Questioner πŸ“ˆ Trend Setter πŸ’Ž Century Club (48)

Conferences

IJCAI (11) AAAI (9) ACL (5) ICLR (4) ICML (4) EMNLP (3) NIPS (3) ACML (2) ICCV (2) JMLR (2) AISTATS (1) CVPR (1) IJCNLP (1) UAI (1)

Papers

Analytical FFN-to-MoE Restructuring via Activation Pattern Analysis ACL 2026 Parameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization ICLR 2025 Beyond Self-Interest: How Group Strategies Reshape Content Creation in Recommendation Platforms? ICML 2025 Reinforcing Compositional Retrieval: Retrieving Step-by-Step for Composing Informative Contexts ACL 2025 KVTuner: Sensitivity-Aware Layer-Wise Mixed-Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference ICML 2025 Probabilistic Neural Pruning via Sparsity Evolutionary Fokker-Planck-Kolmogorov Equation ICLR 2025 A Diffusion Model with State Estimation for Degradation-Blind Inverse Imaging AAAI 2024 Multilingual Jailbreak Challenges in Large Language Models ICLR 2024 Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network ICLR 2024 State Chrono Representation for Enhancing Generalization in Reinforcement Learning NIPS 2024 Convergence Analysis of Inexact Over-relaxed ADMM via Dissipativity Theory ACML 2024 Pruning via Sparsity-indexed ODE: a Continuous Sparsity Viewpoint ICML 2023 Deep Multitask Learning with Progressive Parameter Sharing ICCV 2023 Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis ACL 2023 On Acceleration for Convex Composite Minimization with Noise-Corrupted Gradients and Approximate Proximal Mapping JMLR 2022 Convergence Analysis of Linear Coupling with Inexact Proximal Operator UAI 2022 Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition AAAI 2021 Sequential Generative Exploration Model for Partially Observable Reinforcement Learning AAAI 2021 Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks AAAI 2021 Integrating Deep Learning with Logic Fusion for Information Extraction AAAI 2020 Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning NIPS 2020 Deep Weighted MaxSAT for Aspect-based Opinion Extraction EMNLP 2020 Cooperative Pruning in Cross-Domain Deep Neural Network Compression IJCAI 2019 Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data AAAI 2019 Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion Extraction AAAI 2019 Distribution-Based Semi-Supervised Learning for Activity Recognition AAAI 2019 Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding AAAI 2019 Accelerate Learning of Deep Hashing With Gradient Attention ICCV 2019 MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization NIPS 2019 A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition IJCAI 2019 Multi-class Heterogeneous Domain Adaptation JMLR 2019 Domain Generalization With Adversarial Feature Learning CVPR 2018 Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning IJCAI 2018 Transition-based Adversarial Network for Cross-lingual Aspect Extraction IJCAI 2018 Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-Extraction ACL 2018 Adaptive Group Sparse Multi-task Learning via Trace Lasso IJCAI 2017 Class-Wise Supervised Hashing with Label Embedding and Active Bits IJCAI 2016 Transfer Hashing with Privileged Information IJCAI 2016 Collaborative Evolution for User Profiling in Recommender Systems IJCAI 2016 Matrix Factorization+ for Movie Recommendation IJCAI 2016 Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis EMNLP 2016 Supervised Representation Learning: Transfer Learning with Deep Autoencoders IJCAI 2015 Short and Sparse Text Topic Modeling via Self-Aggregation IJCAI 2015 Exploiting Social Relations and Sentiment for Stock Prediction EMNLP 2014 Heterogeneous Domain Adaptation for Multiple Classes AISTATS 2014 Riemannian Pursuit for Big Matrix Recovery ICML 2014 Cross-Domain Co-Extraction of Sentiment and Topic Lexicons ACL 2012 Multi-view Positive and Unlabeled Learning ACML 2012 A Unified Event Coreference Resolution by Integrating Multiple Resolvers IJCNLP 2011