← Authors

Chengqi Zhang

45 papers · 2015–2026 · 9 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (13) πŸƒ Academic Marathon (10) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (27) πŸ† Grand Slam πŸ”¬ Deep Specialist (10) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (11) ⚑ Prolific Year (5) ❓ The Questioner (2) πŸ—ƒοΈ Keyword Collector (173) πŸ“ˆ Trend Setter πŸ’Ž Century Club (42)

Conferences

IJCAI (17) AAAI (8) NIPS (7) ICML (4) ICLR (3) ACL (2) COLING (2) EMNLP (1) NAACL (1)

Top co-authors

Guodong Long (29) Jing Jiang (27) Tianyi Zhou (15) Shirui Pan (7) Tao Shen (7) LU LIU (5) Ling Chen (4) Qinghua Lu (4) Yunqiu Xu (3) Meng Fang (3)

Keywords

federated learning (10) foundation model (4) few-shot learning (4) domain adaptation (4) graph neural network (4) knowledge graph (3) link prediction (3) prototype learning (3) non-iid datum (3) text-based game (3) variational autoencoder (2) deep reinforcement learning (2) heterogeneous datum (2) time series (2) model merging (2) graph embedding (2) reinforcement learning (2) natural language processing (2) weakly supervised learning (2) graph clustering (2)

Papers

Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation AAAI 2026
Federated Vision-Language-Recommendation with Personalized Fusion AAAI 2026
FedMerge: Federated Model Merging for Personalization AAAI 2026
Federated Low-Rank Adaptation for Foundation Models: A Survey IJCAI 2025
Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning ICML 2025
Biologically Plausible Brain Graph Transformer ICLR 2025
Efficient Personalized Adaptation for Physiological Signal Foundation Model ICML 2025
Federated Foundation Models on Heterogeneous Time Series AAAI 2025
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach AAAI 2025
ARC: A Generalist Graph Anomaly Detector with In-Context Learning NIPS 2024
Mind the Gap Between Prototypes and Images in Cross-domain Finetuning NIPS 2024
Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models NIPS 2024
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning IJCAI 2024
Federated Prompt Learning for Weather Foundation Models on Devices IJCAI 2024
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing AAAI 2023
Structured Federated Learning through Clustered Additive Modeling NIPS 2023
Dual Personalization on Federated Recommendation IJCAI 2023
Improving the Robustness of Summarization Systems with Dual Augmentation ACL 2023
Does Continual Learning Equally Forget All Parameters? ICML 2023
Perceiving the World: Question-guided Reinforcement Learning for Text-based Games ACL 2022
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning ICML 2022
FedProto: Federated Prototype Learning across Heterogeneous Clients AAAI 2022
Generalization in Text-based Games via Hierarchical Reinforcement Learning EMNLP 2021
Isometric Propagation Network for Generalized Zero-shot Learning ICLR 2021
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion COLING 2020
Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention COLING 2020
Attribute Propagation Network for Graph Zero-Shot Learning AAAI 2020
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering IJCAI 2020
Cooperative Heterogeneous Deep Reinforcement Learning NIPS 2020
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games NIPS 2020
Learning to Propagate for Graph Meta-Learning NIPS 2019
Graph WaveNet for Deep Spatial-Temporal Graph Modeling IJCAI 2019
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph IJCAI 2019
Attributed Graph Clustering: A Deep Attentional Embedding Approach IJCAI 2019
Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together NAACL 2019
Efficient Attributed Network Embedding via Recursive Randomized Hashing IJCAI 2018
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling IJCAI 2018
Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling ICLR 2018
Adversarially Regularized Graph Autoencoder for Graph Embedding IJCAI 2018
User Profile Preserving Social Network Embedding IJCAI 2017
Recommendation vs Sentiment Analysis: A Text-Driven Latent Factor Model for Rating Prediction with Cold-Start Awareness IJCAI 2017
Tri-Party Deep Network Representation IJCAI 2016
Unsupervised Feature Learning from Time Series IJCAI 2016
Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search IJCAI 2015
Multi-Graph-View Learning for Complicated Object Classification IJCAI 2015