SHUAI ZHANG
94 papers · 2018–2026 · 16 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 25 separate collaboration groups - the largest holds only 18% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which SHUAI ZHANG?
14 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Yi Tay, Aston Zhang, Lina Yao
12 papers
· 2018–2023
· NeurIPS, IJCAI, ICLR
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Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition
NeurIPS 2023
Neural Methods for Logical Reasoning over Knowledge Graphs
ICLR 2022
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with $1/n$ Parameters
ICLR 2021
Knowledge Router: Learning Disentangled Representations for Knowledge Graphs
NAACL 2021
On Orthogonality Constraints for Transformers
ACL 2021
Self-Instantiated Recurrent Units with Dynamic Soft Recursion
NeurIPS 2021
DeepRec: An Open-source Toolkit for Deep Learning based Recommendation
IJCAI 2019
Holographic Factorization Machines for Recommendation
AAAI 2019
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks
ACL 2019
Quaternion Collaborative Filtering for Recommendation
IJCAI 2019
Quaternion Knowledge Graph Embeddings
NeurIPS 2019
NeuRec: On Nonlinear Transformation for Personalized Ranking
IJCAI 2018
11 papers whose co-authors appear nowhere else under this name
LGSA: Label Geometry Structuring and Aligning for Hierarchical Text Classification
ACL 2026
PALMBENCH: A COMPREHENSIVE BENCHMARK OF COMPRESSED LARGE LANGUAGE MODELS ON MOBILE PLATFORMS
ICLR 2025
Prompt Tuning In a Compact Attribute Space
AAAI 2025
RetrieverGuard: Empowering Information Retrieval to Combat LLM-Generated Misinformation
NAACL 2025
S²MILE: Semantic-and-Structure-Aware Music-Driven Lyric Generation
AAAI 2025
FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data
ICML 2024
Data-Informed Geometric Space Selection
NeurIPS 2023
Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning
NeurIPS 2023
Offline Imitation Learning with Variational Counterfactual Reasoning
NeurIPS 2023
Rethinking Document-Level Relation Extraction: A Reality Check
ACL 2023
Symmetric Metric Learning with Adaptive Margin for Recommendation
AAAI 2020