← Authors

Sinno Jialin Pan

48 papers · 2011–2025 · 14 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (7) πŸƒ Academic Marathon (14) 🌍 Conference Polyglot (14) 🌈 Renaissance Researcher (6) 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 (4) 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

Wenya Wang (10) Jianda Chen (6) Zhanfeng Mo (4) Joey Tianyi Zhou (4) Shangyu Chen (4) Ivor W. Tsang (4) Qiang Yang (3) Hangwei Qian (3) Chunyan Miao (3) Long-Kai Huang (3)

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

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