← Authors

SHUAI ZHANG

92 papers · 2018–2026 · 17 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (12) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (7) 🌍 Conference Polyglot (16) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (17) 🀝 Dynamic Duo (11) πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ”¬ Deep Specialist (14) 🧬 Topic Evolution ⚑ Prolific Year (13) πŸ”₯ Unstoppable (8) ❓ The Questioner (3) πŸ—ƒοΈ Keyword Collector (347) πŸ’Ž Century Club (88) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer

Conferences

AAAI (17) ACL (12) NIPS (12) ICLR (9) ICML (8) IJCAI (7) INTERSPEECH (7) EMNLP (4) NAACL (4) CVPR (2) ICCV (2) IJCNLP (2) MICCAI (2) EACL (1) CONLL (1) AISTATS (1) WACV (1)

Top co-authors

Jianhua Tao (12) Yi Tay (10) Boran Han (9) Meng Wang (8) Jiangyan Yi (8) Pin-Yu Chen (8) Sijia Liu (7) Zhengqi Wen (7) Aston Zhang (7) Lina Yao (5)

Keywords

large language model (7) attention mechanism (6) model compression (5) reinforcement learning (4) automatic speech recognition (4) federated learning (4) sample complexity (4) named entity recognition (4) sentiment analysis (4) contrastive learning (4) knowledge distillation (3) machine translation (3) representation learning (3) variational autoencoder (3) transformer architecture (3) data augmentation (3) speech recognition (3) few-shot learning (3) natural language processing (3) deep learning (3)

Papers

From Imitation to Discrimination: Toward a Generalized Curriculum Advantage Mechanism Enhancing Cross-Domain Reasoning Tasks AAAI 2026
Efficient Table Retrieval and Understanding with Multimodal Large Language Models EACL 2026
AStar: Boosting Multimodal Reasoning with Automated Structured Thinking AAAI 2026
Turbo-VAED: Fast and Stable Transfer of Video-VAEs to Mobile Devices AAAI 2026
Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter CVPR 2025
RadialRouter: Structured Representation for Efficient and Robust Large Language Models Routing EMNLP 2025
Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck ICLR 2025
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers ICLR 2025
PALMBENCH: A COMPREHENSIVE BENCHMARK OF COMPRESSED LARGE LANGUAGE MODELS ON MOBILE PLATFORMS ICLR 2025
RetrieverGuard: Empowering Information Retrieval to Combat LLM-Generated Misinformation NAACL 2025
Prompt Tuning In a Compact Attribute Space AAAI 2025
SΒ²MILE: Semantic-and-Structure-Aware Music-Driven Lyric Generation AAAI 2025
MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic Detection AAAI 2025
Code-switching Mediated Sentence-level Semantic Learning AAAI 2025
AoI-MDP: An AoI Optimized Markov Decision Process Dedicated in the Underwater Task (Student Abstract) AAAI 2025
ERFSL: An Efficient Reward Function Searcher via Large Language Models for Custom-Environment Multi-Objective Reinforcement Learning (Student Abstract) AAAI 2025
UACOF: A USV-AUV Collaboration Framework for Underwater Tasks Under Extreme Sea Conditions (Student Abstract) AAAI 2025
3D Acetabular Surface Reconstruction from 2D Pre-operative X-ray Images using SRVF Elastic Registration and Deformation Graph MICCAI 2025
Sharpness-aware Zeroth-order Optimization for Graph Transformers IJCAI 2025
Conformal Anomaly Detection in Event Sequences ICML 2025
Pandora’s Box or Aladdin’s Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models ACL 2025
Multi-level Relevance Document Identifier Learning for Generative Retrieval ACL 2025
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach AISTATS 2025
SMILE: Single-turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health Support EMNLP 2024
CaMML: Context-Aware Multimodal Learner for Large Models ACL 2024
Discovering Bias in Latent Space: An Unsupervised Debiasing Approach ICML 2024
MolTC: Towards Molecular Relational Modeling In Language Models ACL 2024
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning ICML 2024
Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic Reconstruction MICCAI 2024
Data Augmentation for Object Detection via Controllable Diffusion Models WACV 2024
Unraveling the Gradient Descent Dynamics of Transformers NIPS 2024
Bridging Remote Sensors with Multisensor Geospatial Foundation Models CVPR 2024
CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving NAACL 2024
Bilateral Masking with prompt for Knowledge Graph Completion NAACL 2024
FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data ICML 2024
MobileInst: Video Instance Segmentation on the Mobile AAAI 2024
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators AAAI 2024
How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation AAAI 2024
MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction IJCAI 2024
Transferring Knowledge From Large Foundation Models to Small Downstream Models ICML 2024
Neural Jump-Diffusion Temporal Point Processes ICML 2024
Understanding the Therapeutic Relationship between Counselors and Clients in Online Text-based Counseling using LLMs EMNLP 2024
Detection of Cross-Dataset Fake Audio Based on Prosodic and Pronunciation Features INTERSPEECH 2023
Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning NIPS 2023
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition NIPS 2023
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $\epsilon$-Greedy Exploration NIPS 2023
Data-Informed Geometric Space Selection NIPS 2023
Offline Imitation Learning with Variational Counterfactual Reasoning NIPS 2023
SKDBERT: Compressing BERT via Stochastic Knowledge Distillation AAAI 2023
Understanding Client Reactions in Online Mental Health Counseling ACL 2023
Rethinking Document-Level Relation Extraction: A Reality Check ACL 2023
MAS: Towards Resource-Efficient Federated Multiple-Task Learning ICCV 2023
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks ICLR 2023
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks ICML 2023
TO-Rawnet: Improving RawNet with TCN and Orthogonal Regularization for Fake Audio Detection INTERSPEECH 2023
How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis ICLR 2022
A Fine-grained Interpretability Evaluation Benchmark for Neural NLP EMNLP 2022
A Fine-grained Interpretability Evaluation Benchmark for Neural NLP CONLL 2022
Syntax-guided Contrastive Learning for Pre-trained Language Model ACL 2022
ClusterFormer: Neural Clustering Attention for Efficient and Effective Transformer ACL 2022
De-Bias for Generative Extraction in Unified NER Task ACL 2022
reducing multilingual context confusion for end-to-end code-switching automatic speech recognition INTERSPEECH 2022
AutoST: Towards the Universal Modeling of Spatio-temporal Sequences NIPS 2022
Jump Self-attention: Capturing High-order Statistics in Transformers NIPS 2022
Divergence-aware Federated Self-Supervised Learning ICLR 2022
Neural Methods for Logical Reasoning over Knowledge Graphs ICLR 2022
A Sequence-to-Set Network for Nested Named Entity Recognition IJCAI 2021
Knowledge Router: Learning Disentangled Representations for Knowledge Graphs NAACL 2021
Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition ACL 2021
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with $1/n$ Parameters ICLR 2021
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks NIPS 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting AAAI 2021
On Orthogonality Constraints for Transformers ACL 2021
On Orthogonality Constraints for Transformers IJCNLP 2021
Collaborative Unsupervised Visual Representation Learning From Decentralized Data ICCV 2021
Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition IJCNLP 2021
End-to-End Spelling Correction Conditioned on Acoustic Feature for Code-Switching Speech Recognition INTERSPEECH 2021
FSR: Accelerating the Inference Process of Transducer-Based Models by Applying Fast-Skip Regularization INTERSPEECH 2021
Self-Instantiated Recurrent Units with Dynamic Soft Recursion NIPS 2021
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case ICML 2020
Symmetric Metric Learning with Adaptive Margin for Recommendation AAAI 2020
Listen Attentively, and Spell Once: Whole Sentence Generation via a Non-Autoregressive Architecture for Low-Latency Speech Recognition INTERSPEECH 2020
Spike-Triggered Non-Autoregressive Transformer for End-to-End Speech Recognition INTERSPEECH 2020
TRP: Trained Rank Pruning for Efficient Deep Neural Networks IJCAI 2020
Quaternion Collaborative Filtering for Recommendation IJCAI 2019
DeepRec: An Open-source Toolkit for Deep Learning based Recommendation IJCAI 2019
Holographic Factorization Machines for Recommendation AAAI 2019
A Tensorized Transformer for Language Modeling NIPS 2019
Quaternion Knowledge Graph Embeddings NIPS 2019
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets ICLR 2019
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks ACL 2019
NeuRec: On Nonlinear Transformation for Personalized Ranking IJCAI 2018