Lele Cao

56 papers A* 7A 3B 1C 1Journal 37Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Be Wary of Your Time Series Preprocessing.
CoRR
Sofiane Ennadir, Tianze Wang, Oleg Smirnov, Sahar Asadi, Lele Cao
2026 J jnl
DISCOVER: A Solver for Distributional Counterfactual Explanations.
CoRR
Yikai Gu, Lele Cao, Bo Zhao, Lei Lei, Lei You
2026 J jnl
Preventing the Collapse of Peer Review Requires Verification-First AI.
CoRR
Lei You, Lele Cao, Iryna Gurevych
2025 — conf
A Practical Synthesis of Detecting AI-Generated Textual, Visual, and Audio Content.
ICDM (Workshops)
Lele Cao
2025 J jnl
A Practical Synthesis of Detecting AI-Generated Textual, Visual, and Audio Content.
CoRR
Lele Cao
2025 J jnl
Are We Really Measuring Progress? Transferring Insights from Evaluating Recommender Systems to Temporal Link Prediction.
CoRR
Filip Cornell, Oleg Smirnov, Gabriela Zarzar Gandler, Lele Cao
2025 J jnl
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification.
IEEE Trans. Big Data
Lele Cao, Vilhelm von Ehrenheim, Mark Granroth-Wilding, Richard Anselmo Stahl, Andrew McCornack, Armin Catovic, Dhiana Deva Cavalcanti Rocha
2025 A conf
Distributional Counterfactual Explanations With Optimal Transport.
AISTATS
Lei You, Lele Cao, Mattias Nilsson, Bo Zhao, Lei Lei
2025 J jnl
Enhancing Graph Classification Robustness with Singular Pooling.
CoRR
Sofiane Ennadir, Oleg Smirnov, Yassine Abbahaddou, Lele Cao, Johannes F. Lutzeyer
2025 J jnl
Enhancing Pre-Trained Decision Transformers with Prompt-Tuning Bandits.
CoRR
Finn Rietz, Oleg Smirnov, Sara Karimi, Lele Cao
2025 J jnl
Expressivity of Representation Learning on Continuous-Time Dynamic Graphs: An Information-Flow Centric Review.
Trans. Mach. Learn. Res.
Sofiane Ennadir, Gabriela Zarzar Gandler, Filip Cornell, Lele Cao, Oleg Smirnov, Tianze Wang, Levente Zólyomi, Björn Brinne, Sahar Asadi
2025 J jnl
Frequency Matters: When Time Series Foundation Models Fail Under Spectral Shift.
CoRR
Tianze Wang, Sofiane Ennadir, John Pertoft, Gabriela Zarzar Gandler, Lele Cao, Zineb Senane, Styliani Katsarou, Sahar Asadi, Axel Karlsson, Oleg Smirnov
2025 J jnl
GenCeption: Evaluate vision LLMs with unlabeled unimodal data.
Comput. Speech Lang.
Lele Cao, Valentin Leonhard Buchner, Zineb Senane, Fangkai Yang
2025 A* conf
On the Power of Heuristics in Temporal Graphs.
ICLR
Filip Cornell, Oleg Smirnov, Gabriela Zarzar Gandler, Lele Cao
2025 J jnl
On the Power of Heuristics in Temporal Graphs.
CoRR
Filip Cornell, Oleg Smirnov, Gabriela Zarzar Gandler, Lele Cao
2025 J jnl
Pool Me Wisely: On the Effect of Pooling in Transformer-Based Models.
CoRR
Sofiane Ennadir, Levente Zólyomi, Oleg Smirnov, Tianze Wang, John Pertoft, Filip Cornell, Lele Cao
2025 A* conf
Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation.
EMNLP
Kaikai An, Fangkai Yang, Liqun Li, Junting Lu, Sitao Cheng, Shuzheng Si, Lu Wang, Pu Zhao, Lele Cao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Baobao Chang
2025 J jnl
Towards bandit-based prompt-tuning for in-the-wild foundation agents.
CoRR
Finn Rietz, Oleg Smirnov, Sara Karimi, Lele Cao
2025 J jnl
Unified Approaches in Self-Supervised Event Stream Modeling: Progress and Prospects.
CoRR
Levente Zólyomi, Tianze Wang, Sofiane Ennadir, Oleg Smirnov, Lele Cao
2025 J jnl
Watermarking for AI Content Detection: A Review on Text, Visual, and Audio Modalities.
CoRR
Lele Cao
2024 — conf
Beyond Gut Feel: Using Time Series Transformers to Find Investment Gems.
ICANN (9)
Lele Cao, Gustaf Halvardsson, Andrew McCornack, Vilhelm von Ehrenheim, Pawel Andrzej Herman
2024 J jnl
Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework.
CoRR
Ruibo Tu, Zineb Senane, Lele Cao, Cheng Zhang, Hedvig Kjellström, Gustav Eje Henter
2024 A* conf
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification.
KDD
Lele Cao, Vilhelm von Ehrenheim, Mark Granroth-Wilding, Richard Anselmo Stahl, Andrew McCornack, Armin Catovic, Dhiana Deva Cavalcanti Rocha
2024 J jnl
DISCOUNT: Distributional Counterfactual Explanation With Optimal Transport.
CoRR
Lei You, Lele Cao, Mattias Nilsson
2024 J jnl
Expressivity of Representation Learning on Continuous-Time Dynamic Graphs: An Information-Flow Centric Review.
CoRR
Sofiane Ennadir, Gabriela Zarzar Gandler, Filip Cornell, Lele Cao, Oleg Smirnov, Tianze Wang, Levente Zólyomi, Björn Brinne, Sahar Asadi
2024 J jnl
GenCeption: Evaluate Multimodal LLMs with Unlabeled Unimodal Data.
CoRR
Lele Cao, Valentin Leonhard Buchner, Zineb Senane, Fangkai Yang
2024 — conf
Prompt Tuned Embedding Classification for Industry Sector Allocation.
NAACL (Industry Track)
Valentin Leonhard Buchner, Lele Cao, Jan-Christoph Kalo, Vilhelm von Ehrenheim
2024 J jnl
Refining Counterfactual Explanations With Joint-Distribution-Informed Shapley Towards Actionable Minimality.
CoRR
Lei You, Yijun Bian, Lele Cao
2024 A* conf
Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask.
KDD
Zineb Senane, Lele Cao, Valentin Leonhard Buchner, Yusuke Tashiro, Lei You, Pawel Andrzej Herman, Mats Nordahl, Ruibo Tu, Vilhelm von Ehrenheim
2024 J jnl
Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask.
CoRR
Zineb Senane, Lele Cao, Valentin Leonhard Buchner, Yusuke Tashiro, Lei You, Pawel Andrzej Herman, Mats Nordahl, Ruibo Tu, Vilhelm von Ehrenheim
2024 J jnl
Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation.
CoRR
Kaikai An, Fangkai Yang, Liqun Li, Junting Lu, Sitao Cheng, Lu Wang, Pu Zhao, Lele Cao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
2024 J jnl
Understanding Players as if They Are Talking to the Game in a Customized Language: A Pilot Study.
CoRR
Tianze Wang, Maryam Honari Jahromi, Styliani Katsarou, Olga Mikheeva, Theodoros Panagiotakopoulos, Oleg Smirnov, Lele Cao, Sahar Asadi
2023 J jnl
A Scalable and Adaptive System to Infer the Industry Sectors of Companies: Prompt + Model Tuning of Generative Language Models.
CoRR
Lele Cao, Vilhelm von Ehrenheim, Astrid Berghult, Cecilia Henje, Richard Anselmo Stahl, Joar Wandborg, Sebastian Stan, Armin Catovic, Erik Ferm, Hannes Ingelhag
2023 J jnl
Accelerating Thematic Investment with Prompt Tuned Pretrained Language Models.
CoRR
Valentin Leonhard Buchner, Lele Cao, Jan-Christoph Kalo
2023 J jnl
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification.
CoRR
Lele Cao, Vilhelm von Ehrenheim, Mark Granroth-Wilding, Richard Anselmo Stahl, Andrew McCornack, Armin Catovic, Dhiana Deva Cavalcanti Rocha
2023 J jnl
Echo-Enhanced Embodied Visual Navigation.
Neural Comput.
Yinfeng Yu, Lele Cao, Fuchun Sun, Chao Yang, Huicheng Lai, Wenbing Huang
2023 A* conf
Measuring Acoustics with Collaborative Multiple Agents.
IJCAI
Yinfeng Yu, Changan Chen, Lele Cao, Fangkai Yang, Fuchun Sun
2023 J jnl
Measuring Acoustics with Collaborative Multiple Agents.
CoRR
Yinfeng Yu, Changan Chen, Lele Cao, Fangkai Yang, Fuchun Sun
2023 J jnl
Sourcing Investment Targets for Venture and Growth Capital Using Multivariate Time Series Transformer.
CoRR
Lele Cao, Gustaf Halvardsson, Andrew McCornack, Vilhelm von Ehrenheim, Pawel Andrzej Herman
2022 A* conf
Bridged Transformer for Vision and Point Cloud 3D Object Detection.
CVPR
Yikai Wang, TengQi Ye, Lele Cao, Wenbing Huang, Fuchun Sun, Fengxiang He, Dacheng Tao
2022 J jnl
Bridged Transformer for Vision and Point Cloud 3D Object Detection.
CoRR
Yikai Wang, TengQi Ye, Lele Cao, Wenbing Huang, Fuchun Sun, Fengxiang He, Dacheng Tao
2022 A* conf
Multimodal Token Fusion for Vision Transformers.
CVPR
Yikai Wang, Xinghao Chen, Lele Cao, Wenbing Huang, Fuchun Sun, Yunhe Wang
2022 J jnl
Multimodal Token Fusion for Vision Transformers.
CoRR
Yikai Wang, Xinghao Chen, Lele Cao, Wenbing Huang, Fuchun Sun, Yunhe Wang
2022 A conf
Pay Self-Attention to Audio-Visual Navigation.
BMVC
Yinfeng Yu, Lele Cao, Fuchun Sun, Xiaohong Liu, Liejun Wang
2022 J jnl
Pay Self-Attention to Audio-Visual Navigation.
CoRR
Yinfeng Yu, Lele Cao, Fuchun Sun, Xiaohong Liu, Liejun Wang
2022 A conf
Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data.
CIKM
Lele Cao, Sonja Horn, Vilhelm von Ehrenheim, Richard Anselmo Stahl, Henrik Landgren
2022 J jnl
Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data.
CoRR
Lele Cao, Sonja Horn, Vilhelm von Ehrenheim, Richard Anselmo Stahl, Henrik Landgren
2022 J jnl
Using Deep Learning to Find the Next Unicorn: A Practical Synthesis.
CoRR
Lele Cao, Vilhelm von Ehrenheim, Sebastian Krakowski, Xiaoxue Li, Alexandra Lutz
2021 — conf
PAUSE: Positive and Annealed Unlabeled Sentence Embedding.
EMNLP (1)
Lele Cao, Emil Larsson, Vilhelm von Ehrenheim, Dhiana Deva Cavalcanti Rocha, Anna Martin, Sonja Horn
2021 J jnl
PAUSE: Positive and Annealed Unlabeled Sentence Embedding.
CoRR
Lele Cao, Emil Larsson, Vilhelm von Ehrenheim, Dhiana Deva Cavalcanti Rocha, Anna Martin, Sonja Horn
2020 — conf
Debiasing Few-Shot Recommendation in Mobile Games.
ORSUM@RecSys
Lele Cao, Sahar Asadi, Matteo Biasielli, Michael Sjöberg
2020 — conf
Simple, Scalable, and Stable Variational Deep Clustering.
ECML/PKDD (1)
Lele Cao, Sahar Asadi, Wenfei Zhu, Christian Schmidli, Michael Sjöberg
2020 J jnl
Simple, Scalable, and Stable Variational Deep Clustering.
CoRR
Lele Cao, Sahar Asadi, Wenfei Zhu, Christian Schmidli, Michael Sjöberg
2020 C conf
Use All Your Skills, Not Only The Most Popular Ones.
CoG
Francesco Lorenzo, Sahar Asadi, Alice Karnsund, Lele Cao, Tianze Wang, Amir Hossein Payberah
2019 B conf
Fine-Grained Road Mining from Satellite Images with Bilateral Xception and DeepLab.
IJCNN
Lele Cao
2018 — conf
Human-Like Playtesting with Deep Learning.
CIG
Stefan Freyr Gudmundsson, Philipp Eisen, Erik Poromaa, Alex Nodet, Sami Purmonen, Bartlomiej Kozakowski, Richard Meurling, Lele Cao