We stand with Ukraine

We stand with Ukraine

Xiyao Wang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025

Quantifying Emotional Responses to Immutable Data Characteristics and Designer Choices in Data Visualizations.

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IEEE Trans. Vis. Comput. Graph., January, 2025

2024

Towards Self-Improvement of LLMs via MCTS: Leveraging Stepwise Knowledge with Curriculum Preference Learning.

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CoRR, 2024

LLaVA-Critic: Learning to Evaluate Multimodal Models.

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CoRR, 2024

World Models with Hints of Large Language Models for Goal Achieving.

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CoRR, 2024

Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement.

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Parminder Bhatia

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CoRR, 2024

Calibrated Self-Rewarding Vision Language Models.

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CoRR, 2024

Emojis Decoded: Leveraging ChatGPT for Enhanced Understanding in Social Media Communications.

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CoRR, 2024

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences.

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Gedas Bertasius

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CoRR, 2024

Lane-Changing Tracking Control of Automated Vehicle Platoon Based on MA-DDPG and Adaptive MPC.

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IEEE Access, 2024

Visualizations on Smart Watches while Running: It Actually Helps!

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Proceedings of the IEEE Visualization and Visual Analytics, 2024

Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss.

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Praveen Palanisamy

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Kalyan Shankar Basu

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Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate.

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Proceedings of the Forty-first International Conference on Machine Learning, 2024

DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization.

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL.

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Wichayaporn Wongkamjan

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences.

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Gedas Bertasius

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Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

A voltage waveform design method for shortening current response time of a coil.

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Int. J. Circuit Theory Appl., September, 2023

Wideband Millimeter-Wave SPST Switch in 100-nm GaN-on-Si Using Strong Mutual Coupling.

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IEEE Trans. Circuits Syst. II Express Briefs, June, 2023

Interacting with actuated walls: Exploring applications and input types.

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Int. J. Hum. Comput. Stud., April, 2023

Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making.

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CoRR, 2023

TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning.

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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy.

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Wichayaporn Wongkamjan

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Proceedings of the International Conference on Machine Learning, 2023

Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function.

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Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Collaborative Work in Augmented Reality: A Survey.

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[DOI]

Mickaël Sereno

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Lonni Besançon

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Michael J. McGuffin

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Tobias Isenberg

IEEE Trans. Vis. Comput. Graph., 2022

Understanding differences between combinations of 2D and 3D input and output devices for 3D data visualization.

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Lonni Besançon

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Tobias Isenberg

Int. J. Hum. Comput. Stud., 2022

Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy.

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Wichayaporn Wongkamjan

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CoRR, 2022

SimCLR-Unet: An ECG Feature wave segmentation algorithm based on a self-supervised learning strategy.

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Proceedings of the 4th International Conference on Robotics, 2022

Transfer RL across Observation Feature Spaces via Model-Based Regularization.

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Andrew E. Cohen

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Proceedings of the Tenth International Conference on Learning Representations, 2022

3D object detection based on the fusion of projected point cloud and image features.

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Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering, 2022

2021

A Two-Branch Neural Network for Non-Homogeneous Dehazing via Ensemble Learning.

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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Augmented reality environments for the interactive exploration of 3D data. (Environnements de réalité augmentée pour l'exploration interactive de données 3D).

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PhD thesis, 2020

Planning with Exploration: Addressing Dynamics Bottleneck in Model-based Reinforcement Learning.

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CoRR, 2020

Towards an Understanding of Augmented Reality Extensions for Existing 3D Data Analysis Tools.

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Lonni Besançon

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Mickaël Sereno

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Tobias Isenberg

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019

Augmenting Tactile 3D Data Navigation With Pressure Sensing.

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Lonni Besançon

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Tobias Isenberg

Comput. Graph. Forum, 2019

Steering Wheel Interaction Design Based on Level 3 Autonomous Driving Scenario.

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Proceedings of the HCI International 2019 - Late Breaking Posters, 2019

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