Xu, Lei

45 publications

ICLR 2025 Beyond Correlation: The Impact of Human Uncertainty in Measuring the Effectiveness of Automatic Evaluation and LLM-as-a-Judge Aparna Elangovan, Lei Xu, Jongwoo Ko, Mahsa Elyasi, Ling Liu, Sravan Babu Bodapati, Dan Roth

ICLR 2025 Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension Ability Yujin Han, Lei Xu, Sirui Chen, Difan Zou, Chaochao Lu

AAAI 2025 CAD-GPT: Synthesising CAD Construction Sequence with Spatial Reasoning-Enhanced Multimodal LLMs Siyu Wang, Cailian Chen, Xinyi Le, Qimin Xu, Lei Xu, Yanzhou Zhang, Jie Yang

AAAI 2025 CriSPO: Multi-Aspect Critique-Suggestion-Guided Automatic Prompt Optimization for Text Generation Han He, Qianchu Liu, Lei Xu, Chaitanya Shivade, Yi Zhang, Sundararajan Srinivasan, Katrin Kirchhoff

NeurIPS 2025 Dual Data Alignment Makes AI-Generated Image Detector Easier Generalizable Ruoxin Chen, Junwei Xi, Zhiyuan Yan, Ke-Yue Zhang, Shuang Wu, Jingyi Xie, Xu Chen, Lei Xu, Isabel Guan, Taiping Yao, Shouhong Ding

NeurIPS 2025 KeeA*: Epistemic Exploratory A* Search via Knowledge Calibration Dengwei Zhao, Shikui Tu, Yanan Sun, Lei Xu

AAAI 2025 Personalized Label Inference Attack in Federated Transfer Learning via Contrastive Meta Learning Hanyu Zhao, Zijie Pan, Yajie Wang, Zuobin Ying, Lei Xu, Yu-An Tan

NeurIPS 2025 Prior-Guided Flow Matching for Target-Aware Molecule Design with Learnable Atom Number Jingyuan Zhou, Hao Qian, Shikui Tu, Lei Xu

MLJ 2025 SketchMLP: Effectively Utilize Rasterized Images and Drawing Sequences for Sketch Recognition Tengjie Li, Shikui Tu, Lei Xu

NeurIPS 2025 Text to Sketch Generation with Multi-Styles Tengjie Li, Shikui Tu, Lei Xu

ICLR 2025 Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations Yupei Yang, Biwei Huang, Fan Feng, Xinyue Wang, Shikui Tu, Lei Xu

IJCAI 2024 Boosting Efficiency in Task-Agnostic Exploration Through Causal Knowledge Yupei Yang, Biwei Huang, Shikui Tu, Lei Xu

MLJ 2024 IA-NGM: A Bidirectional Learning Method for Neural Graph Matching with Feature Fusion Tianxiang Qin, Shikui Tu, Lei Xu

AAAI 2024 Multilevel Attention Network with Semi-Supervised Domain Adaptation for Drug-Target Prediction Zhousan Xie, Shikui Tu, Lei Xu

NeurIPS 2024 SeeA*: Efficient Exploration-Enhanced A* Search by Selective Sampling Dengwei Zhao, Shikui Tu, Lei Xu

IJCAI 2024 Self-Supervised Learning for Enhancing Spatial Awareness in Free-Hand Sketches Xin Wang, Tengjie Li, Sicong Zang, Shikui Tu, Lei Xu

IJCAI 2024 SketchEdit: Editing Freehand Sketches at the Stroke-Level Tengjie Li, Shikui Tu, Lei Xu

AAAI 2023 Efficient Top-K Feature Selection Using Coordinate Descent Method Lei Xu, Rong Wang, Feiping Nie, Xuelong Li

IJCAI 2023 GLPocket: A Multi-Scale Representation Learning Approach for Protein Binding Site Prediction Peiying Li, Yongchang Liu, Shikui Tu, Lei Xu

NeurIPS 2023 Generalized Weighted Path Consistency for Mastering Atari Games Dengwei Zhao, Shikui Tu, Lei Xu

NeurIPS 2023 Joint Feature and Differentiable $ K $-NN Graph Learning Using Dirichlet Energy Lei Xu, Lei Chen, Rong Wang, Feiping Nie, Xuelong Li

AAAI 2023 Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation Sicong Zang, Shikui Tu, Lei Xu

AAAI 2023 Self-Supervised Bidirectional Learning for Graph Matching Wenqi Guo, Lin Zhang, Shikui Tu, Lei Xu

ICML 2022 Efficient Learning for AlphaZero via Path Consistency Dengwei Zhao, Shikui Tu, Lei Xu

IJCAI 2022 Local Differential Privacy Meets Computational Social Choice - Resilience Under Voter Deletion Liangde Tao, Lin Chen, Lei Xu, Weidong Shi

AAAI 2021 DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding Zhicheng Wang, Biwei Huang, Shikui Tu, Kun Zhang, Lei Xu

AAAI 2021 IA-GM: A Deep Bidirectional Learning Method for Graph Matching Kaixuan Zhao, Shikui Tu, Lei Xu

CVPRW 2021 Multi-Scale Hourglass Hierarchical Fusion Network for Single Image Deraining Xiang Chen, Yufeng Huang, Lei Xu

IJCAI 2020 Discrete Biorthogonal Wavelet Transform Based Convolutional Neural Network for Atrial Fibrillation Diagnosis from Electrocardiogram Qingsong Xie, Shikui Tu, Guoxing Wang, Yong Lian, Lei Xu

IJCAI 2019 Election with Bribe-Effect Uncertainty: A Dichotomy Result Lin Chen, Lei Xu, Shouhuai Xu, Zhimin Gao, Weidong Shi

AAAI 2019 Election with Bribed Voter Uncertainty: Hardness and Approximation Algorithm Lin Chen, Lei Xu, Shouhuai Xu, Zhimin Gao, Weidong Shi

NeurIPS 2019 Modeling Tabular Data Using Conditional GAN Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante, Kalyan Veeramachaneni

ICML 2017 Input Convex Neural Networks Brandon Amos, Lei Xu, J. Zico Kolter

IJCAI 2015 Joint Learning of Character and Word Embeddings Xinxiong Chen, Lei Xu, Zhiyuan Liu, Maosong Sun, Huan-Bo Luan

NeCo 2004 One-Bit-Matching Conjecture for Independent Component Analysis Zhiyong Liu, Kai Chun Chiu, Lei Xu

NeCo 2002 A Lagrange Multiplier and Hopfield-Type Barrier Function Method for the Traveling Salesman Problem Chuangyin Dang, Lei Xu

NeCo 2001 Asymptotic Convergence Rate of the EM Algorithm for Gaussian Mixtures Jinwen Ma, Lei Xu, Michael I. Jordan

NeCo 1996 On Convergence Properties of the EM Algorithm for Gaussian Mixtures Lei Xu, Michael I. Jordan

NeurIPS 1995 A Unified Learning Scheme: Bayesian-Kullback Ying-Yang Machine Lei Xu

NeCo 1995 Bayesian Self-Organization Driven by Prior Probability Distributions Alan L. Yuille, Stelios M. Smirnakis, Lei Xu

NeurIPS 1994 An Alternative Model for Mixtures of Experts Lei Xu, Michael I. Jordan, Geoffrey E. Hinton

ECCV 1994 Comparisons of Probabilistic and Non-Probabilistic Hough Transforms Heikki Kälviäinen, Petri Hirvonen, Lei Xu, Erkki Oja

NeurIPS 1993 Bayesian Self-Organization Alan L. Yuille, Stelios M. Smirnakis, Lei Xu

NeurIPS 1992 Self-Organizing Rules for Robust Principal Component Analysis Lei Xu, Alan L. Yuille

UAI 1987 Structuring Causal Tree Models with Continuous Variables Lei Xu, Judea Pearl