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 Meng Wang, Pin-Yu Chen, Sijia Liu
8 papers
· 2020–2025
· ICLR, ICML, NeurIPS
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When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers
ICLR 2025
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning
ICML 2024
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks
ICLR 2023
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration
NeurIPS 2023
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks
ICML 2023
How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
ICLR 2022
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks
NeurIPS 2021
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case
ICML 2020
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