Lele Cao

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 31

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Publications

Lele Cao, Vilhelm von Ehrenheim, Mark Granroth-Wilding, Richard Anselmo Stahl, Andrew McCornack, Armin Catovic, Dhiana Deva Cavalcanti Rocha
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification. KDD (2024)
Ruibo Tu, Zineb Senane, Lele Cao, Cheng Zhang, Hedvig Kjellström, Gustav Eje Henter
Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework. CoRR (2024)
Kaikai An, Fangkai Yang, Liqun Li, Junting Lu, Sitao Cheng, Lu Wang, Pu Zhao, Lele Cao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation. CoRR (2024)
Zineb Senane, Lele Cao, Valentin Leonhard Buchner, Yusuke Tashiro, Lei You, Pawel Andrzej Herman, Mats Nordahl, Ruibo Tu, Vilhelm von Ehrenheim
Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask. KDD (2024)
Zineb Senane, Lele Cao, Valentin Leonhard Buchner, Yusuke Tashiro, Lei You, Pawel Herman, Mats Nordahl, Ruibo Tu, Vilhelm von Ehrenheim
Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask. CoRR (2024)
Lele Cao, Valentin Leonhard Buchner, Zineb Senane, Fangkai Yang
GenCeption: Evaluate Multimodal LLMs with Unlabeled Unimodal Data. CoRR (2024)
Lei You, Lele Cao, Mattias Nilsson
DISCOUNT: Distributional Counterfactual Explanation With Optimal Transport. CoRR (2024)
Lele Cao, Vilhelm von Ehrenheim, Mark Granroth-Wilding, Richard Anselmo Stahl, Andrew McCornack, Armin Catovic, Dhiana Deva Cavalcanti Rocha
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification. CoRR (2023)
Yinfeng Yu, Lele Cao, Fuchun Sun, Chao Yang, Huicheng Lai, Wenbing Huang
Echo-Enhanced Embodied Visual Navigation. Neural Comput. 35 (5) (2023)
Valentin Leonhard Buchner, Lele Cao, Jan-Christoph Kalo
Accelerating Thematic Investment with Prompt Tuned Pretrained Language Models. CoRR (2023)
Yinfeng Yu, Changan Chen, Lele Cao, Fangkai Yang, Fuchun Sun
Measuring Acoustics with Collaborative Multiple Agents. IJCAI (2023)
Lele Cao, Gustaf Halvardsson, Andrew McCornack, Vilhelm von Ehrenheim, Pawel Herman
Sourcing Investment Targets for Venture and Growth Capital Using Multivariate Time Series Transformer. CoRR (2023)
Lele Cao, Vilhelm von Ehrenheim, Astrid Berghult, Cecilia Henje, Richard Anselmo Stahl, Joar Wandborg, Sebastian Stan, Armin Catovic, Erik Ferm, Hannes Ingelhag
A Scalable and Adaptive System to Infer the Industry Sectors of Companies: Prompt + Model Tuning of Generative Language Models. CoRR (2023)
Yinfeng Yu, Changan Chen, Lele Cao, Fangkai Yang, Fuchun Sun
Measuring Acoustics with Collaborative Multiple Agents. CoRR (2023)
Lele Cao, Sonja Horn, Vilhelm von Ehrenheim, Richard Anselmo Stahl, Henrik Landgren
Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data. CoRR (2022)
Yinfeng Yu, Lele Cao, Fuchun Sun, Xiaohong Liu, Liejun Wang
Pay Self-Attention to Audio-Visual Navigation. BMVC (2022)
Yikai Wang, TengQi Ye, Lele Cao, Wenbing Huang, Fuchun Sun, Fengxiang He, Dacheng Tao
Bridged Transformer for Vision and Point Cloud 3D Object Detection. CVPR (2022)
Yikai Wang, TengQi Ye, Lele Cao, Wenbing Huang, Fuchun Sun, Fengxiang He, Dacheng Tao
Bridged Transformer for Vision and Point Cloud 3D Object Detection. CoRR (2022)
Lele Cao, Vilhelm von Ehrenheim, Sebastian Krakowski, Xiaoxue Li, Alexandra Lutz
Using Deep Learning to Find the Next Unicorn: A Practical Synthesis. CoRR (2022)
Yinfeng Yu, Lele Cao, Fuchun Sun, Xiaohong Liu, Liejun Wang
Pay Self-Attention to Audio-Visual Navigation. CoRR (2022)
Lele Cao, Sonja Horn, Vilhelm von Ehrenheim, Richard Anselmo Stahl, Henrik Landgren
Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data. CIKM (2022)
Yikai Wang, Xinghao Chen, Lele Cao, Wenbing Huang, Fuchun Sun, Yunhe Wang
Multimodal Token Fusion for Vision Transformers. CoRR (2022)
Yikai Wang, Xinghao Chen, Lele Cao, Wenbing Huang, Fuchun Sun, Yunhe Wang
Multimodal Token Fusion for Vision Transformers. CVPR (2022)
Lele Cao, Emil Larsson, Vilhelm von Ehrenheim, Dhiana Deva Cavalcanti Rocha, Anna Martin, Sonja Horn
PAUSE: Positive and Annealed Unlabeled Sentence Embedding. EMNLP (1) (2021)
Lele Cao, Emil Larsson, Vilhelm von Ehrenheim, Dhiana Deva Cavalcanti Rocha, Anna Martin, Sonja Horn
PAUSE: Positive and Annealed Unlabeled Sentence Embedding. CoRR (2021)
Lele Cao, Sahar Asadi, Matteo Biasielli, Michael Sjöberg
Debiasing Few-Shot Recommendation in Mobile Games. ORSUM@RecSys (2020)
Lele Cao, Sahar Asadi, Wenfei Zhu, Christian Schmidli, Michael Sjöberg
Simple, Scalable, and Stable Variational Deep Clustering. ECML/PKDD (1) (2020)
Lele Cao, Sahar Asadi, Wenfei Zhu, Christian Schmidli, Michael Sjöberg
Simple, Scalable, and Stable Variational Deep Clustering. CoRR (2020)
Francesco Lorenzo, Sahar Asadi, Alice Karnsund, Lele Cao, Tianze Wang, Amir H. Payberah
Use All Your Skills, Not Only The Most Popular Ones. CoG (2020)
Lele Cao
Fine-Grained Road Mining from Satellite Images with Bilateral Xception and DeepLab. IJCNN (2019)
Stefan Freyr Gudmundsson, Philipp Eisen, Erik Poromaa, Alex Nodet, Sami Purmonen, Bartlomiej Kozakowski, Richard Meurling, Lele Cao
Human-Like Playtesting with Deep Learning. CIG (2018)