← Authors

Qiang Yang

63 papers · 2008–2026 · 13 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (14) πŸƒ Academic Marathon (17) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (13) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (17) 🌟 Keyword Trendsetter Combo (5) 🏠 Conference Loyalist (20) 🀝 Dynamic Duo (12) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (15) πŸ† Keyword Champion πŸ‘₯ Mega-Team (22) 🧬 Topic Evolution ⚑ Prolific Year (6) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (11) πŸ’Ž Century Club (60) πŸ—ƒοΈ Keyword Collector (231)

Conferences

IJCAI (20) AAAI (11) EMNLP (7) ICML (6) NIPS (5) CVPR (4) IJCNLP (3) ACL (2) COLING (1) EACL (1) ECCV (1) INTERSPEECH (1) JMLR (1)

Top co-authors

Lixin Fan (13) Qian Xu (8) Ying Wei (8) Yang Liu (7) Yu Zhang (7) Han Yu (7) Hanlin Gu (7) Di Jiang (6) Yuanfeng Song (6) Yuqiang Chen (5)

Research topics

Differential Privacy (2) Privacy (2)

Keywords

federated learning (14) transfer learning (13) domain adaptation (11) large language model (6) privacy preservation (6) knowledge distillation (5) automatic speech recognition (4) adversarial learning (4) graph neural network (4) model aggregation (3) multi-agent system (3) privacy protection (3) differential privacy (3) attention mechanism (3) few-shot learning (2) multi-task learning (2) privacy preserving (2) model compression (2) sequence labeling (2) cross-domain learning (2)

Papers

FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Clients AAAI 2026
Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models AAAI 2026
Federated Vision-Language-Recommendation with Personalized Fusion AAAI 2026
FedCoT: Federated Chain-of-Thought Distillation for Large Language Models EMNLP 2025
PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs ICML 2025
FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models COLING 2025
PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation EMNLP 2025
Model-based Large Language Model Customization as Service EMNLP 2025
Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor CVPR 2025
The Good, The Bad, and Why: Unveiling Emotions in Generative AI ICML 2024
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning ECCV 2024
A Survey on Cross-Domain Sequential Recommendation IJCAI 2024
Unlearning during Learning: An Efficient Federated Machine Unlearning Method IJCAI 2024
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models NIPS 2024
Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning AAAI 2024
Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator AAAI 2023
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation IJCAI 2023
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning IJCAI 2022
Contribution-Aware Federated Learning for Smart Healthcare AAAI 2022
On the Channel Pruning using Graph Convolution Network for Convolutional Neural Network Acceleration IJCAI 2022
Frustratingly Easy Transferability Estimation ICML 2022
Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks CVPR 2021
FATE: An Industrial Grade Platform for Collaborative Learning With Data Protection JMLR 2021
A Health-friendly Speaker Verification System Supporting Mask Wearing AAAI 2021
TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation EACL 2021
Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages EMNLP 2020
A De Novo Divide-and-Merge Paradigm for Acoustic Model Optimization in Automatic Speech Recognition IJCAI 2020
A Multi-player Game for Studying Federated Learning Incentive Schemes IJCAI 2020
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning AAAI 2020
Graph Random Neural Networks for Semi-Supervised Learning on Graphs NIPS 2020
PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation EMNLP 2020
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning EMNLP 2019
Multi-Agent Visualization for Explaining Federated Learning IJCAI 2019
Fair and Explainable Dynamic Engagement of Crowd Workers IJCAI 2019
Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting AAAI 2019
Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion AAAI 2019
Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes AAAI 2019
Separate to Adapt: Open Set Domain Adaptation via Progressive Separation CVPR 2019
Learning to Transfer Examples for Partial Domain Adaptation CVPR 2019
Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction IJCAI 2019
Chameleon: A Language Model Adaptation Toolkit for Automatic Speech Recognition of Conversational Speech EMNLP 2019
Topic-Aware Dialogue Speech Recognition with Transfer Learning INTERSPEECH 2019
Chameleon: A Language Model Adaptation Toolkit for Automatic Speech Recognition of Conversational Speech IJCNLP 2019
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning IJCNLP 2019
Cross-City Transfer Learning for Deep Spatio-Temporal Prediction IJCAI 2019
Transfer Learning via Learning to Transfer ICML 2018
Learning to Multitask NIPS 2018
Building Ethics into Artificial Intelligence IJCAI 2018
Deep Neural Networks for High Dimension, Low Sample Size Data IJCAI 2017
Understanding How Feature Structure Transfers in Transfer Learning IJCAI 2017
End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification IJCAI 2017
Matrix Factorization+ for Movie Recommendation IJCAI 2016
Collaborative Evolution for User Profiling in Recommender Systems IJCAI 2016
Quantized Correlation Hashing for Fast Cross-Modal Search IJCAI 2015
General Functional Matrix Factorization Using Gradient Boosting ICML 2013
Smart Hashing Update for Fast Response IJCAI 2013
Online Hashing IJCAI 2013
Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels ICML 2013
Action-Model Based Multi-agent Plan Recognition NIPS 2012
Cross-Domain Co-Extraction of Sentiment and Topic Lexicons ACL 2012
Heterogeneous Transfer Learning for Image Clustering via the SocialWeb IJCNLP 2009
Heterogeneous Transfer Learning for Image Clustering via the SocialWeb ACL 2009
Translated Learning: Transfer Learning across Different Feature Spaces NIPS 2008