Sinno Jialin Pan
49 papers · 2011–2026 · 14 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (17) π Interdisciplinary Bridge π Renaissance Researcher (6) π£ Hot Topic Early Bird
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Interdisciplinary Bridge
π£
Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(17)
π€
Dynamic Duo
(10)
π
Grand Slam
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(168)
π
Conference Pioneer
β‘
Prolific Year
(9)
π₯
Unstoppable
(12)
β
The Questioner
π
Trend Setter
π
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)
Top co-authors
Keywords
domain adaptation
(5)
transfer learning
(5)
model compression
(5)
neural network
(4)
representation learning
(3)
opinion extraction
(3)
deep reinforcement learning
(3)
edge deployment
(2)
matrix completion
(2)
heterogeneous domain adaptation
(2)
neural network quantization
(2)
adversarial learning
(2)
generative model
(2)
alternating direction method of multiplier
(2)
reinforcement learning
(2)
compressed sensing
(2)
feature transformation
(2)
domain generalization
(2)
feature extraction
(2)
information retrieval
(2)
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