Lingxiao Zhao

80 papers A* 11A 3B 2Journal 49Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bridging the Know-Act Gap via Task-Level Autoregressive Reasoning.
CoRR
Jihyun Janice Ahn, Ryo Kamoi, Berk Atil, Renze Lou, Wonwoo Kang, Heehyun Park, Sarkar Snigdha Sarathi Das, Zhuoyang Zou, Xiaoxin Lu, Yusen Zhang, Asfahan Shah, Ridwanul Hasan Tanvir, Lingxiao Zhao, Hongxi Huang, Vignesh Venkatesh, Dianjun Lin, Hamid Shah, Wentao Wang, Zhanpeng Song, Joshua Reed Bassin, Dax Patel, Ishan Appareddy Agrahar, Sahil Pardasani, Xin Dong, Fatemeh Rahbari, Benjamin David Rishel, Soochan Andrew Lee, Yuv Boghani, Ali B. AlNaseeb, Pranav Suby, Seokhyeon Bae, Shreya Buddharaju, Damien Kula, Soumyadeep Das, Hanyang Frank Liu, Faye Mo, Wenpeng Yin
2026 J jnl
Green disclosure policies and market dynamics: evidence from agent-based ESG models.
Auton. Agents Multi Agent Syst.
Lingxiao Zhao, Maria Polukarov, Carmine Ventre
2025 A conf
Agent-Based Analysis of Green Disclosure Policies and Their Market-Wide Impact on Firm Behavior.
AAMAS
Lingxiao Zhao, Maria Polukarov, Carmine Ventre
2025 A conf
Agent-based Modeling and Simulation of Ambiguity in Catastrophe Insurance Markets.
AAMAS
Yu Bi, Lingxiao Zhao, Jinyun Tong, Zhe Feng, Carmine Ventre
2025 J jnl
Chain of Draft: Thinking Faster by Writing Less.
CoRR
Silei Xu, Wenhao Xie, Lingxiao Zhao, Pengcheng He
2025 J jnl
Efficient Multi-Material Volume Rendering for Realistic Visualization with Complex Transfer Functions.
J. Imaging
Chunxiao Xu, Xinran Xu, Jiatian Zhang, Yiheng Cao, Lingxiao Zhao
2025 J jnl
Enabling Disaggregated Multi-Stage MLLM Inference via GPU-Internal Scheduling and Resource Sharing.
CoRR
Lingxiao Zhao, Haoran Zhou, Yuezhi Che, Dazhao Cheng
2025 — conf
Long-Term Financial Forecasting and Trading via Multi-Agent Reinforcement Learning.
ICAIF
Yu Bi, Zhuohan Wang, Lingxiao Zhao, Carmine Ventre
2025 J jnl
MedSAM/MedSAM2 Feature Fusion: Enhancing nnUNet for 2D TOF-MRA Brain Vessel Segmentation.
J. Imaging
Han Zhong, Jiatian Zhang, Lingxiao Zhao
2025 J jnl
Real-Time Realistic Volume Rendering of Consistently High Quality With Dynamic Illumination.
IEEE Trans. Vis. Comput. Graph.
Chunxiao Xu, Haojie Cheng, Zhenxin Chen, Jiajun Wang, Yibo Chen, Lingxiao Zhao
2025 J jnl
Real-Time Volume-Rendering Image Denoising Based on Spatiotemporal Weighted Kernel Prediction.
J. Imaging
Xinran Xu, Chunxiao Xu, Lingxiao Zhao
2025 J jnl
Real-time Neural Denoising for Volume Rendering Using Dual-Input Feature Fusion Network.
Comput. Graph. Forum
Chunxiao Xu, Xinran Xu, Jiatian Zhang, Yufei Liu, Yiheng Cao, Lingxiao Zhao
2025 J jnl
SegR3D: A Multi-Target 3D Visualization System for Realistic Volume Rendering of Meningiomas.
J. Imaging
Jiatian Zhang, Chunxiao Xu, Xinran Xu, Yajing Zhao, Lingxiao Zhao
2025 — conf
Self-Tuning Self-Supervised Image Anomaly Detection.
KDD (2)
Jaemin Yoo, Lingxiao Zhao, Leman Akoglu
2025 J jnl
Structuring Semantic-Aware Relations Between Bugs and Patches for Accurate Patch Evaluation.
J. Softw. Evol. Process.
Lingxiao Zhao, Hui Li, Yongqian Chen, Xiaowei Pan, Shikai Guo
2025 — conf
T-REG: Preference Optimization with Token-Level Reward Regularization.
ACL (1)
Wenxuan Zhou, Shujian Zhang, Lingxiao Zhao, Tao Meng
2025 J jnl
Unified Discrete Diffusion for Categorical Data.
J. Mach. Learn. Res.
Lingxiao Zhao, Xueying Ding, Lijun Yu, Leman Akoglu
2024 A* conf
Descriptive Kernel Convolution Network with Improved Random Walk Kernel.
WWW
Meng-Chieh Lee, Lingxiao Zhao, Leman Akoglu
2024 J jnl
Descriptive Kernel Convolution Network with Improved Random Walk Kernel.
CoRR
Meng-Chieh Lee, Lingxiao Zhao, Leman Akoglu
2024 B conf
Equilibria of Carbon Allowance Auctions: Emissions and Productivity.
PRIMA
Lingxiao Zhao, Maria Polukarov, Carmine Ventre
2024 — conf
Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets.
EMNLP (Findings)
Sathish Reddy Indurthi, Wenxuan Zhou, Shamil Chollampatt, Ravi Agrawal, Kaiqiang Song, Lingxiao Zhao, Chenguang Zhu
2024 J jnl
Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets.
CoRR
Sathish Reddy Indurthi, Wenxuan Zhou, Shamil Chollampatt, Ravi Agrawal, Kaiqiang Song, Lingxiao Zhao, Chenguang Zhu
2024 J jnl
Improving and Unifying Discrete&Continuous-time Discrete Denoising Diffusion.
CoRR
Lingxiao Zhao, Xueying Ding, Lijun Yu, Leman Akoglu
2024 A* conf
On the Expressive Power of Spectral Invariant Graph Neural Networks.
ICML
Bohang Zhang, Lingxiao Zhao, Haggai Maron
2024 J jnl
On the Expressive Power of Spectral Invariant Graph Neural Networks.
CoRR
Bohang Zhang, Lingxiao Zhao, Haggai Maron
2024 A* conf
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation.
NeurIPS
Lingxiao Zhao, Xueying Ding, Leman Akoglu
2024 J jnl
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation.
CoRR
Lingxiao Zhao, Xueying Ding, Leman Akoglu
2024 J jnl
T-REG: Preference Optimization with Token-Level Reward Regularization.
CoRR
Wenxuan Zhou, Shujian Zhang, Lingxiao Zhao, Tao Meng
2024 J jnl
Winners from Winners: A Tale of Risk Factors.
Manag. Sci.
Siddhartha Chib, Lingxiao Zhao, Guofu Zhou
2023 — conf
A Mixed Reality Framework for Interactive Realistic Volume Rendering with Dynamic Environment Illumination.
VR Workshops
Haojie Cheng, Chunxiao Xu, Zhenxin Chen, Jiajun Wang, Yibo Chen, Lingxiao Zhao
2023 J jnl
A novel cryptocurrency price time series hybrid prediction model via machine learning with MATLAB/Simulink.
J. Supercomput.
Lingxiao Zhao, Zhiyang Li, Yue Ma, Leilei Qu
2023 B conf
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach.
IEEE Big Data
Konstantinos Sotiropoulos, Lingxiao Zhao, Pierre Jinghong Liang, Leman Akoglu
2023 J jnl
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach.
CoRR
Konstantinos Sotiropoulos, Lingxiao Zhao, Pierre Jinghong Liang, Leman Akoglu
2023 J jnl
AI-assisted identification of intrapapillary capillary loops in magnification endoscopy for diagnosing early-stage esophageal squamous cell carcinoma: a preliminary study.
Medical Biol. Eng. Comput.
Jinming Wang, Qigang Long, Yan Liang, Jie Song, Yadong Feng, Peng Li, Wei Sun, Lingxiao Zhao
2023 — conf
DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection.
ECML/PKDD (1)
Jaemin Yoo, Yue Zhao, Lingxiao Zhao, Leman Akoglu
2023 J jnl
DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection.
CoRR
Jaemin Yoo, Yue Zhao, Lingxiao Zhao, Leman Akoglu
2023 J jnl
Density of states for fast embedding node-attributed graphs.
Knowl. Inf. Syst.
Lingxiao Zhao, Saurabh Sawlani, Leman Akoglu
2023 J jnl
End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection.
CoRR
Jaemin Yoo, Lingxiao Zhao, Leman Akoglu
2023 J jnl
Fast and Accurate Illumination Estimation Using LDR Panoramic Images for Realistic Rendering.
IEEE Trans. Vis. Comput. Graph.
Haojie Cheng, Chunxiao Xu, Jiajun Wang, Zhenxin Chen, Lingxiao Zhao
2023 J jnl
Heterophily and Graph Neural Networks: Past, Present and Future.
IEEE Data Eng. Bull.
Jiong Zhu, Yujun Yan, Mark Heimann, Lingxiao Zhao, Leman Akoglu, Danai Koutra
2023 — conf
Liquidity and Solvency Risks in Financial Networks.
ICAIF
Lingxiao Zhao, Maria Polukarov, Carmine Ventre
2023 J jnl
On Using Classification Datasets to Evaluate Graph Outlier Detection: Peculiar Observations and New Insights.
Big Data
Lingxiao Zhao, Leman Akoglu
2023 — conf
Realistic Volume Rendering with Environment-Synced Illumination in Mixed Reality.
ISMAR-Adjunct
Haojie Cheng, Chunxiao Xu, Xujing Chen, Zhenxin Chen, Jiajun Wang, Lingxiao Zhao
2023 J jnl
Realistic Volume Rendering with Environment-Synced Illumination in Mixed Reality.
CoRR
Haojie Cheng, Chunxiao Xu, Xujing Chen, Zhenxin Chen, Jiajun Wang, Lingxiao Zhao
2023 A* conf
Sign and Basis Invariant Networks for Spectral Graph Representation Learning.
ICLR
Derek Lim, Joshua David Robinson, Lingxiao Zhao, Tess E. Smidt, Suvrit Sra, Haggai Maron, Stefanie Jegelka
2022 A* conf
A Practical, Progressively-Expressive GNN.
NeurIPS
Lingxiao Zhao, Neil Shah, Leman Akoglu
2022 J jnl
A Practical, Progressively-Expressive GNN.
CoRR
Lingxiao Zhao, Louis Härtel, Neil Shah, Leman Akoglu
2022 J jnl
A dual-branch hybrid dilated CNN model for the AI-assisted segmentation of meningiomas in MR images.
Comput. Biol. Medicine
Xin Ma, Yajing Zhao, Yiping Lu, Peng Li, Xuanxuan Li, Nan Mei, Jiajun Wang, Daoying Geng, Lingxiao Zhao, Bo Yin
2022 A* conf
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness.
ICLR
Lingxiao Zhao, Wei Jin, Leman Akoglu, Neil Shah
2022 J jnl
Graph Anomaly Detection with Unsupervised GNNs.
CoRR
Lingxiao Zhao, Saurabh Sawlani, Arvind Srinivasan, Leman Akoglu
2022 A* conf
Graph Condensation for Graph Neural Networks.
ICLR
Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah
2022 A* conf
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution.
NeurIPS
Xueying Ding, Lingxiao Zhao, Leman Akoglu
2022 J jnl
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution.
CoRR
Xueying Ding, Lingxiao Zhao, Leman Akoglu
2022 J jnl
Quad-fisheye Image Stitching for Monoscopic Panorama Reconstruction.
Comput. Graph. Forum
Haojie Cheng, Chunxiao Xu, Jiajun Wang, Lingxiao Zhao
2022 J jnl
Sign and Basis Invariant Networks for Spectral Graph Representation Learning.
CoRR
Derek Lim, Joshua Robinson, Lingxiao Zhao, Tess E. Smidt, Suvrit Sra, Haggai Maron, Stefanie Jegelka
2021 A* conf
Fast Attributed Graph Embedding via Density of States.
ICDM
Saurabh Sawlani, Lingxiao Zhao, Leman Akoglu
2021 J jnl
Fast Attributed Graph Embedding via Density of States.
CoRR
Saurabh Sawlani, Lingxiao Zhao, Leman Akoglu
2021 J jnl
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness.
CoRR
Lingxiao Zhao, Wei Jin, Leman Akoglu, Neil Shah
2021 J jnl
Graph Condensation for Graph Neural Networks.
CoRR
Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah
2021 J jnl
Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal Denoising.
IEEE Trans. Signal Process.
Siheng Chen, Yonina C. Eldar, Lingxiao Zhao
2020 A* conf
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs.
NeurIPS
Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra
2020 J jnl
Connecting Graph Convolutional Networks and Graph-Regularized PCA.
CoRR
Lingxiao Zhao, Leman Akoglu
2020 J jnl
Generalizing Graph Neural Networks Beyond Homophily.
CoRR
Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra
2020 J jnl
Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal Denoising.
CoRR
Siheng Chen, Yonina C. Eldar, Lingxiao Zhao
2020 J jnl
On Using Classification Datasets to Evaluate Graph Outlier Detection: Peculiar Observations and New Insights.
CoRR
Lingxiao Zhao, Leman Akoglu
2020 A* conf
PairNorm: Tackling Oversmoothing in GNNs.
ICLR
Lingxiao Zhao, Leman Akoglu
2019 J jnl
A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification.
CoRR
Xuan Wu, Lingxiao Zhao, Leman Akoglu
2019 J jnl
A multi-modal health data fusion and analysis method based on body sensor network.
Int. J. Serv. Technol. Manag.
Lei Wang, Yibo Chen, Zhenying Zhao, Lingxiao Zhao, Jin Li, Cuimin Li
2019 J jnl
PairNorm: Tackling Oversmoothing in GNNs.
CoRR
Lingxiao Zhao, Leman Akoglu
2018 — conf
A Parafac-Based Blind Channel Estimation and Symbol Detection Scheme for Massive MIMO Systems.
CyberC
Lingxiao Zhao, Shuangzhi Li, Jiankang Zhang, Xiaomin Mu
2018 A conf
A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification.
CIKM
Xuan Wu, Lingxiao Zhao, Leman Akoglu
2018 — conf
Multimode Data Fusion Based Remote Healthcare Framework.
BDET
Lei Wang, Wei Sun, Yibo Chen, Peng Li, Lingxiao Zhao
2018 — conf
Wavelet Transform Based ECG Denoising Using Adaptive Thresholding.
ICBBS
Lei Wang, Wei Sun, Yibo Chen, Peng Li, Lingxiao Zhao
2009 — conf
Combining Mesh, Volume, and Streamline Representations for Polyp Detection in CT Colonography.
ISBI
Vincent Frans van Ravesteijn, Lingxiao Zhao, Charl P. Botha, Frits H. Post, Frans M. Vos, Lucas J. van Vliet
2009 J jnl
Supervised locally linear embedding with probability-based distance for classification.
Comput. Math. Appl.
Lingxiao Zhao, Zhenyue Zhang
2008 — conf
Surface Curvature Line Clustering for Polyp Detection in CT Colonography.
VCBM
Lingxiao Zhao, Vincent Frans van Ravesteijn, Charl P. Botha, Roel Truyen, Frans M. Vos, Frits H. Post
2007 — conf
Probability-Based Locally Linear Embedding for Classification.
FSKD (3)
Zhenyue Zhang, Lingxiao Zhao
2007 J jnl
The boundary penalty method for the diffusion equation subject to the specification of mass.
Appl. Math. Comput.
Xiaozhe Hu, Lingxiao Zhao, Abdul Wasim Shaikh
2007 — ch.
Topology-Based Flow Visualization, The State of the Art.
Topology-based Methods in Visualization
Robert S. Laramee, Helwig Hauser, Lingxiao Zhao, Frits H. Post
2006 J jnl
Lines of Curvature for Polyp Detection in Virtual Colonoscopy.
IEEE Trans. Vis. Comput. Graph.
Lingxiao Zhao, Charl P. Botha, Javier Oliván Bescós, Roel Truyen, Frans Vos, Frits H. Post