Zhe Xu
38 papers · 2015–2026 · 14 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (10) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (13) π Cross-Pollinator (14)
π
Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(53)
π
Interdisciplinary Bridge
π
Grand Slam
π
Conference Pioneer
ποΈ
Keyword Collector
(152)
β‘
Prolific Year
(13)
π
Century Club
(34)
β
The Questioner
Conferences
AAAI (7)
ICCV (5)
ICML (5)
MICCAI (4)
ACL (3)
IJCAI (3)
CVPR (2)
ICLR (2)
L4DC (2)
CLEAR (1)
EACL (1)
EMNLP (1)
NIPS (1)
RSS (1)
Top co-authors
Research topics
Keywords
reinforcement learning
(3)
temporal logic
(3)
large language model
(3)
weakly supervised learning
(2)
convolutional neural network
(2)
attention mechanism
(2)
model interpretability
(2)
generative model
(2)
graph neural network
(2)
linear temporal logic
(2)
metric learning
(1)
binary classification
(1)
transfer learning
(1)
image restoration
(1)
image generation
(1)
benchmark evaluation
(1)
few-shot learning
(1)
graph learning
(1)
reward modeling
(1)
zero-shot learning
(1)
Papers
Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search
AAAI 2026
How to Make LMs Strong Node Classifiers?
EACL 2026
Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention
AAAI 2026
Attention Basin: Why Contextual Position Matters in Large Language Models
ACL 2026
Ask, and it shall be given: On the Turing completeness of prompting
ICLR 2025
Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning
AAAI 2025
iPET: An Interactive Emotional Companion Dialogue System with LLM-Powered Virtual Pet World Simulation
ACL 2025
RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation
MICCAI 2025
Conservative-Radical Complementary Learning for Class-incremental Medical Image Analysis with Pre-trained Foundation Models
MICCAI 2025
VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks
ICCV 2025
A Logic-Based Approach to Causal Discovery: Signal Temporal Logic Perspective
IJCAI 2025
Conditional Visual Autoregressive Modeling for Pathological Image Restoration
ICCV 2025
VLRMBench: A Comprehensive and Challenging Benchmark for Vision-Language Reward Models
ICCV 2025
SNS-Bench: Defining, Building, and Assessing Capabilities of Large Language Models in Social Networking Services
ICML 2025
State-Constrained Zero-Sum Differential Games with One-Sided Information
ICML 2024
Exploiting Intrinsic Multilateral Logical Rules for Weakly Supervised Natural Language Video Localization
ACL 2024
Expediting Reinforcement Learning by Incorporating Knowledge About Temporal Causality in the Environment
CLEAR 2024
Diversified and Personalized Multi-rater Medical Image Segmentation
CVPR 2024
MMedAgent: Learning to Use Medical Tools with Multi-modal Agent
EMNLP 2024
Discrete-state Continuous-time Diffusion for Graph Generation
NIPS 2024
Class-Imbalanced Graph Learning without Class Rebalancing
ICML 2024
SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter
ICML 2024
Graph Mixup on Approximate GromovβWasserstein Geodesics
ICML 2024
Distributed on-the-fly control of multi-agent systems with unknown dynamics: Using limited data to obtain near-optimal control
L4DC 2024
Pontryagin neural operator for solving general-sum differential games with parametric state constraints
L4DC 2024
Few Slices Suffice: Multi-Faceted Consistency Learning with Active Cross-Annotation for Barely-supervised 3D Medical Image Segmentation
MICCAI 2024
FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation
MICCAI 2024
Learning Interpretable Temporal Properties from Positive Examples Only
AAAI 2023
Advice-Guided Reinforcement Learning in a non-Markovian Environment
AAAI 2021
Adaptive Teaching of Temporal Logic Formulas to Preference-based Learners
AAAI 2021
Generalized Zero-Shot Learning via Disentangled Representation
AAAI 2021
Pseudo-Loss Confidence Metric for Semi-Supervised Few-Shot Learning
ICCV 2021
Probabilistic Swarm Guidance Subject to Graph Temporal Logic Specifications
RSS 2020
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers
ICLR 2020
Transfer of Temporal Logic Formulas in Reinforcement Learning
IJCAI 2019
Relation Extraction Using Supervision from Topic Knowledge of Relation Labels
IJCAI 2019
Part-Stacked CNN for Fine-Grained Visual Categorization
CVPR 2016
Augmenting Strong Supervision Using Web Data for Fine-Grained Categorization
ICCV 2015