Lei Shi
69 papers · 2004–2026 · 15 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 31 separate collaboration groups - the largest holds only 12% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Lei Shi?
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 Feifei Kou, Mingying Xu, Pengfei Zhang
8 papers
· 2024–2026
· AAAI, ICML, IJCAI
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Adaptive Graph Attention Based Discrete Hashing for Incomplete Cross-modal Retrieval
AAAI 2026
MusicRec: Multi-modal Semantic-Enhanced Identifier with Collaborative Signals for Generative Recommendation
AAAI 2026
CFPT: Empowering Time Series Forecasting through Cross-Frequency Interaction and Periodic-Aware Timestamp Modeling
ICML 2025
EVICheck: Evidence-Driven Independent Reasoning and Combined Verification Method for Fact-Checking
IJCAI 2025
IWRN:A Robust Blind Watermarking Method for Artwork Image Copyright Protection Against Noise Attack
AAAI 2025
Leveraging the Dual Capabilities of LLM: LLM-Enhanced Text Mapping Model for Personality Detection
AAAI 2025
THGNets: Constrained Temporal Hypergraphs and Graph Neural Networks in Hyperbolic Space for Information Diffusion Prediction
AAAI 2025
An End-To-End Graph Attention Network Hashing for Cross-Modal Retrieval
NeurIPS 2024
17 papers whose co-authors appear nowhere else under this name
GeoRA: Geometry-Aware Low-Rank Adaptation for RLVR
ACL 2026
MoE-Guided Graph Diffusion for Oriented Molecule Design
AAAI 2026
SmartEraser: Remove Anything from Images using Masked-Region Guidance
CVPR 2025
Zero-Inflated Bandits
ICML 2025
Classification with Deep Neural Networks and Logistic Loss
JMLR 2024
LEGENT: Open Platform for Embodied Agents
ACL 2024
Self-Supervised Representation Learning with Meta Comprehensive Regularization
AAAI 2024
Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression
JMLR 2024
Structural Information Enhanced Graph Representation for Link Prediction
AAAI 2024
Unsupervised Deep Graph Structure and Embedding Learning
IJCAI 2024
Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate
NeurIPS 2022
EDGE20: A Cross Spectral Evaluation Dataset for Multiple Surveillance Problems
WACV 2020
Latent Topic Embedding
COLING 2016
Sparse Additive Text Models with Low Rank Background
NeurIPS 2013
Bayesian Probabilistic Co-Subspace Addition
NeurIPS 2012
Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling
NeurIPS 2009
Online Inference of Topics with Latent Dirichlet Allocation
AISTATS 2005