Lei Xu
41 papers · 2012–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (11) π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (13)
π£
Hot Topic Early Bird
π
Cross-Pollinator
(14)
πΊοΈ
Taxonomy Completionist
(73)
π€
Dynamic Duo
(14)
π
Grand Slam
π
Keyword Champion
(2)
π
Century Club
(36)
π
Conference Pioneer
β‘
Prolific Year
(7)
ποΈ
Keyword Collector
(168)
π₯
Unstoppable
(7)
Conferences
AAAI (13)
IJCAI (8)
NIPS (4)
ICLR (3)
ACL (2)
ICML (2)
MICCAI (2)
NSDI (2)
AACL (1)
EACL (1)
EMNLP (1)
MIDL (1)
NAACL (1)
Top co-authors
Research topics
Keywords
graph neural network
(6)
large language model
(4)
reinforcement learning
(3)
deep learning
(3)
monte carlo tree search
(3)
path consistency
(2)
diffusion model
(2)
protein structure
(2)
prompt engineering
(2)
evaluation framework
(2)
graph matching
(2)
contrastive learning
(2)
computational social choice
(2)
unsupervised learning
(2)
self-supervised learning
(2)
feature selection
(2)
affinity learning
(2)
graph learning
(2)
combinatorial optimization
(2)
neural network
(2)
Papers
Adaptive LLM-Symbolic Reasoning via Dynamic Logical Solver Composition
EACL 2026
DEPO: Dual-Efficiency Preference Optimization for LLM Agents
AAAI 2026
Full-Atom Peptide Design via RiemannianβEuclidean Bayesian Flow Networks
AAAI 2026
SEBSFormer: A Spectral-Enhanced Bi-Stream Transformer for Robust EEG Decoding
AAAI 2026
Non-Salient Object Segmentation in Medical Images via Pre-trained Multi-Granularity Masked Autoencoders
MICCAI 2025
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations
ICLR 2025
Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge
ICLR 2025
CAD-GPT: Synthesising CAD Construction Sequence with Spatial Reasoning-Enhanced Multimodal LLMs
AAAI 2025
CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generation
AAAI 2025
Personalized Label Inference Attack in Federated Transfer Learning via Contrastive Meta Learning
AAAI 2025
Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension ability
ICLR 2025
A Novel GNN Framework Integrating Neuroimaging and Behavioral Information to Understand Adolescent Psychiatric Disorders
MIDL 2025
TN-Eval: Rubric and Evaluation Protocols for Measuring the Quality of Behavioral Therapy Notes
ACL 2025
Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge
IJCAI 2024
SeeA*: Efficient Exploration-Enhanced A* Search by Selective Sampling
NIPS 2024
Multilevel Attention Network with Semi-supervised Domain Adaptation for Drug-Target Prediction
AAAI 2024
ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models
ACL 2024
Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization
EMNLP 2024
SketchEdit: Editing Freehand Sketches at the Stroke-Level
IJCAI 2024
Self-Supervised Learning for Enhancing Spatial Awareness in Free-Hand Sketches
IJCAI 2024
Cardiac Physiology Knowledge-driven Diffusion Model for Contrast-free Synthesis Myocardial Infarction Enhancement
MICCAI 2024
Efficient Top-K Feature Selection Using Coordinate Descent Method
AAAI 2023
GLPocket: A Multi-Scale Representation Learning Approach for Protein Binding Site Prediction
IJCAI 2023
Generalized Weighted Path Consistency for Mastering Atari Games
NIPS 2023
Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy
NIPS 2023
Self-Supervised Bidirectional Learning for Graph Matching
AAAI 2023
Boomerang: Metadata-Private Messaging under Hardware Trust
NSDI 2023
Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation
AAAI 2023
Efficient Learning for AlphaZero via Path Consistency
ICML 2022
Local Differential Privacy Meets Computational Social Choice - Resilience under Voter Deletion
IJCAI 2022
R&R: Metric-guided Adversarial Sentence Generation
AACL 2022
Exploring the Universal Vulnerability of Prompt-based Learning Paradigm
NAACL 2022
IA-GM: A Deep Bidirectional Learning Method for Graph Matching
AAAI 2021
DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding
AAAI 2021
Discrete Biorthogonal Wavelet Transform Based Convolutional Neural Network for Atrial Fibrillation Diagnosis from Electrocardiogram
IJCAI 2020
Election with Bribed Voter Uncertainty: Hardness and Approximation Algorithm
AAAI 2019
Modeling Tabular data using Conditional GAN
NIPS 2019
Election with Bribe-Effect Uncertainty: A Dichotomy Result
IJCAI 2019
Input Convex Neural Networks
ICML 2017
Joint Learning of Character and Word Embeddings
IJCAI 2015
OSA: An Optical Switching Architecture for Data Center Networks with Unprecedented Flexibility
NSDI 2012