Chengqi Zhang

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

Achievements

+13 more ↓

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (11) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (9)

🗺️ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🤝 Dynamic Duo (27) 🏆 Grand Slam 🔬 Deep Specialist (10) 🚀 Conference Pioneer 🔥 Unstoppable (11) ⚡ Prolific Year (5) ❓ The Questioner (2) 🗃️ Keyword Collector (173) 📈 Trend Setter 💎 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