Search Results for author: Yuchen Sun

Found 10 papers, 3 papers with code

Neural Fluidic System Design and Control with Differentiable Simulation

no code implementations22 May 2024 Yifei Li, Yuchen Sun, Pingchuan Ma, Eftychios Sifakis, Tao Du, Bo Zhu, Wojciech Matusik

We present a novel framework to explore neural control and design of complex fluidic systems with dynamic solid boundaries.

When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-$k$ Multi-Label Learning

1 code implementation27 Jul 2023 Yuchen Sun, Qianqian Xu, Zitai Wang, Qingming Huang

However, existing adversarial attacks toward multi-label learning only pursue the traditional visual imperceptibility but ignore the new perceptible problem coming from measures such as Precision@$k$ and mAP@$k$.

Adversarial Attack Multi-Label Learning

Deep Intellectual Property Protection: A Survey

no code implementations28 Apr 2023 Yuchen Sun, Tianpeng Liu, Panhe Hu, Qing Liao, Shaojing Fu, Nenghai Yu, Deke Guo, Yongxiang Liu, Li Liu

Deep Neural Networks (DNNs), from AlexNet to ResNet to ChatGPT, have made revolutionary progress in recent years, and are widely used in various fields.

WILD-SCAV: Benchmarking FPS Gaming AI on Unity3D-based Environments

1 code implementation14 Oct 2022 Xi Chen, Tianyu Shi, Qingpeng Zhao, Yuchen Sun, Yunfei Gao, Xiangjun Wang

It provides realistic 3D environments of variable complexity, various tasks, and multiple modes of interaction, where agents can learn to perceive 3D environments, navigate and plan, compete and cooperate in a human-like manner.

Atari Games Benchmarking +3

Can Graph Neural Networks Learn to Solve MaxSAT Problem?

no code implementations15 Nov 2021 Minghao Liu, Fuqi Jia, Pei Huang, Fan Zhang, Yuchen Sun, Shaowei Cai, Feifei Ma, Jian Zhang

With the rapid development of deep learning techniques, various recent work has tried to apply graph neural networks (GNNs) to solve NP-hard problems such as Boolean Satisfiability (SAT), which shows the potential in bridging the gap between machine learning and symbolic reasoning.

Deep Learning Based Autonomous Vehicle Super Resolution DOA Estimation for Safety Driving

no code implementations IEEE Transactions on Intelligent Transportation Systems 2021 Liangtian Wan, Yuchen Sun, Lu Sun, Member, Zhaolong Ning, Senior Member, and Joel J. P. C. Rodrigues, Fellow, IEEE

Abstract— In this paper, a novel system architecture including a massive multi-input multi-output (MIMO) or a reconfigurable intelligent surface (RIS) and multiple autonomous vehicles is considered in vehicle location systems.

Autonomous Vehicles Super-Resolution

Learning to Safely Exploit a Non-Stationary Opponent

no code implementations NeurIPS 2021 Zheng Tian, Hang Ren, Yaodong Yang, Yuchen Sun, Ziqi Han, Ian Davies, Jun Wang

On the other hand, overfitting to an opponent (i. e., exploiting only one specific type of opponent) makes the learning player easily exploitable by others.

Identification and Development of Therapeutics for COVID-19

no code implementations3 Mar 2021 Halie M. Rando, Nils Wellhausen, Soumita Ghosh, Alexandra J. Lee, Anna Ada Dattoli, Fengling Hu, James Brian Byrd, Diane N. Rafizadeh, Ronan Lordan, Yanjun Qi, Yuchen Sun, Christian Brueffer, Jeffrey M. Field, Marouen Ben Guebila, Nafisa M. Jadavji, Ashwin N. Skelly, Bharath Ramsundar, Jinhui Wang, Rishi Raj Goel, YoSon Park, the COVID-19 Review Consortium, Simina M. Boca, Anthony Gitter, Casey S. Greene

A number of potential therapeutics against SARS-CoV-2 and the resultant COVID-19 illness were rapidly identified, leading to a large number of clinical trials investigating a variety of possible therapeutic approaches being initiated early on in the pandemic.

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