Jianqing Zhang
12 papers · 2023–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (20) π§ Keyword Pioneer π Cross-Pollinator (15)
π
Century Club
(10)
Conferences
AAAI (3)
EMNLP (2)
ICML (2)
ACL (1)
CVPR (1)
ICCV (1)
JMLR (1)
NIPS (1)
Top co-authors
Keywords
federated learning
(5)
personalized federated learning
(3)
model personalization
(3)
distributed learning
(2)
knowledge transfer
(2)
heterogeneous datum
(2)
client-server architecture
(2)
heterogeneous model
(2)
feature extraction
(1)
preference optimization
(1)
domain adaptation
(1)
code generation
(1)
representation learning
(1)
adaptive learning
(1)
knowledge distillation
(1)
zero-shot learning
(1)
statistical heterogeneity
(1)
adaptive margin
(1)
subset selection
(1)
distributed training
(1)
Papers
ReCreate: Reasoning and Creating Domain Agents Driven by Experience
ACL 2026
AP2O-Coder: Adaptively Progressive Preference Optimization for Reducing Compilation and Runtime Errors in LLM-Generated Code
AAAI 2026
PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark
JMLR 2025
FedMABench: Benchmarking Mobile GUI Agents on Decentralized Heterogeneous User Data
EMNLP 2025
PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs
ICML 2025
Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion
ICML 2025
An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning
CVPR 2024
FuseGen: PLM Fusion for Data-generation based Zero-shot Learning
EMNLP 2024
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning
AAAI 2024
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning
ICCV 2023
FedALA: Adaptive Local Aggregation for Personalized Federated Learning
AAAI 2023
Eliminating Domain Bias for Federated Learning in Representation Space
NIPS 2023