Qiang Yang
64 papers · 2008–2026 · 13 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (17) π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge π£ Hot Topic Early Bird
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Conference Polyglot
(13)
π£
Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(17)
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Keyword Trendsetter Combo
(5)
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Conference Loyalist
(20)
π€
Dynamic Duo
(12)
π±
Topic Pioneer
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Deep Specialist
(15)
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Keyword Champion
π₯
Mega-Team
(22)
π§¬
Topic Evolution
β‘
Prolific Year
(6)
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Trend Setter
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Conference Pioneer
π₯
Unstoppable
(11)
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Century Club
(60)
ποΈ
Keyword Collector
(231)
Conferences
IJCAI (20)
AAAI (11)
EMNLP (7)
ICML (6)
NIPS (5)
CVPR (4)
ACL (3)
IJCNLP (3)
COLING (1)
EACL (1)
ECCV (1)
INTERSPEECH (1)
JMLR (1)
Top co-authors
Research topics
Keywords
federated learning
(14)
transfer learning
(13)
domain adaptation
(11)
large language model
(7)
privacy preservation
(6)
knowledge distillation
(5)
graph neural network
(4)
adversarial learning
(4)
automatic speech recognition
(4)
model aggregation
(3)
attention mechanism
(3)
model compression
(3)
privacy protection
(3)
differential privacy
(3)
small language model
(3)
multi-agent system
(3)
few-shot learning
(2)
multi-task learning
(2)
privacy preserving
(2)
sequence labeling
(2)
Papers
Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models
AAAI 2026
Federated Vision-Language-Recommendation with Personalized Fusion
AAAI 2026
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion
ACL 2026
FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Clients
AAAI 2026
Model-based Large Language Model Customization as Service
EMNLP 2025
Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor
CVPR 2025
FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models
COLING 2025
PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs
ICML 2025
FedCoT: Federated Chain-of-Thought Distillation for Large Language Models
EMNLP 2025
PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation
EMNLP 2025
Unlearning during Learning: An Efficient Federated Machine Unlearning Method
IJCAI 2024
The Good, The Bad, and Why: Unveiling Emotions in Generative AI
ICML 2024
Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning
AAAI 2024
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models
NIPS 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
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation
IJCAI 2023
Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator
AAAI 2023
On the Channel Pruning using Graph Convolution Network for Convolutional Neural Network Acceleration
IJCAI 2022
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
Frustratingly Easy Transferability Estimation
ICML 2022
FATE: An Industrial Grade Platform for Collaborative Learning With Data Protection
JMLR 2021
Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks
CVPR 2021
TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation
EACL 2021
A Health-friendly Speaker Verification System Supporting Mask Wearing
AAAI 2021
Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages
EMNLP 2020
Graph Random Neural Networks for Semi-Supervised Learning on Graphs
NIPS 2020
A Multi-player Game for Studying Federated Learning Incentive Schemes
IJCAI 2020
A De Novo Divide-and-Merge Paradigm for Acoustic Model Optimization in Automatic Speech Recognition
IJCAI 2020
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
AAAI 2020
PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation
EMNLP 2020
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
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning
EMNLP 2019
Chameleon: A Language Model Adaptation Toolkit for Automatic Speech Recognition of Conversational Speech
EMNLP 2019
Cross-City Transfer Learning for Deep Spatio-Temporal Prediction
IJCAI 2019
Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction
IJCAI 2019
Multi-Agent Visualization for Explaining Federated Learning
IJCAI 2019
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning
IJCNLP 2019
Chameleon: A Language Model Adaptation Toolkit for Automatic Speech Recognition of Conversational Speech
IJCNLP 2019
Topic-Aware Dialogue Speech Recognition with Transfer Learning
INTERSPEECH 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
Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels
ICML 2013
Online Hashing
IJCAI 2013
General Functional Matrix Factorization Using Gradient Boosting
ICML 2013
Smart Hashing Update for Fast Response
IJCAI 2013
Cross-Domain Co-Extraction of Sentiment and Topic Lexicons
ACL 2012
Action-Model Based Multi-agent Plan Recognition
NIPS 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