Lele Cao - RankMe

56 papers A* 7A 3B 1C 1Journal 37Unranked 7

Year	Rank	Type	Title / 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