no code implementations • ECCV 2020 • Huikun Bi, Ruisi Zhang, Tianlu Mao, Zhigang Deng, Zhaoqi Wang
This work presents a novel First-person View based Trajectory predicting model (FvTraj) to estimate the future trajectories of pedestrians in a scene given their observed trajectories and the corresponding first-person view images.
1 code implementation • EMNLP 2020 • Guangtao Zeng, Wenmian Yang, Zeqian Ju, Yue Yang, Sicheng Wang, Ruisi Zhang, Meng Zhou, Jiaqi Zeng, Xiangyu Dong, Ruoyu Zhang, Hongchao Fang, Penghui Zhu, Shu Chen, Pengtao Xie
We also study the transferability of models trained on MedDialog to low-resource medical dialogue generation tasks.
no code implementations • 25 Apr 2024 • Remi Delaunay, Ruisi Zhang, Filipe C. Pedrosa, Navid Feizi, Dianne Sacco, Rajni Patel, Jayender Jagadeesan
Ultrasound imaging is a cost-effective and radiation-free modality for visualizing anatomical structures in real-time, making it ideal for guiding surgical interventions.
1 code implementation • 28 Feb 2024 • Mingjia Huo, Sai Ashish Somayajula, Youwei Liang, Ruisi Zhang, Farinaz Koushanfar, Pengtao Xie
Large language models generate high-quality responses with potential misinformation, underscoring the need for regulation by distinguishing AI-generated and human-written texts.
no code implementations • 27 Feb 2024 • Ruisi Zhang, Farinaz Koushanfar
This paper introduces EmMark, a novel watermarking framework for protecting the intellectual property (IP) of embedded large language models deployed on resource-constrained edge devices.
no code implementations • 18 Oct 2023 • Ruisi Zhang, Shehzeen Samarah Hussain, Paarth Neekhara, Farinaz Koushanfar
We present REMARK-LLM, a novel efficient, and robust watermarking framework designed for texts generated by large language models (LLMs).
no code implementations • 17 Aug 2023 • Zijian Song, Huikun Bi, Ruisi Zhang, Tianlu Mao, Zhaoqi Wang
We presented a cross-view trajectory prediction method using shared 3D Queries (XVTP3D).
no code implementations • 4 Aug 2023 • Nasimeh Heydaribeni, Ruisi Zhang, Tara Javidi, Cristina Nita-Rotaru, Farinaz Koushanfar
We theoretically prove the robustness of our algorithm against data and model poisoning attacks in a decentralized linear regression setting.
no code implementations • 21 Sep 2022 • Ruisi Zhang, Seira Hidano, Farinaz Koushanfar
Our attacks faithfully reconstruct private texts included in training data with access to the target model.
no code implementations • 30 Nov 2021 • Ruisi Zhang, Youwei Liang, Sai Ashish Somayajula, Pengtao Xie
We introduce a training strategy called ``Differentiable Architecture Search with a Generative Model(DASGM)."
no code implementations • 16 Sep 2020 • Ruisi Zhang, Luntian Mou, Pengtao Xie
Based on these two ideas, we propose a TreeGAN model which consists of three modules: (1) a class hierarchy encoder (CHE) which takes the hierarchical structure of classes and their textual names as inputs and learns an embedding for each class; the embedding captures the hierarchical relationship among classes; (2) a conditional image generator (CIG) which takes the CHE-generated embedding of a class as input and generates a set of images belonging to this class; (3) a consistency checker which performs hierarchical classification on the generated images and checks whether the generated images are compatible with the class hierarchy; the consistency score is used to guide the CIG to generate hierarchy-compatible images.
1 code implementation • arXiv 2020 • Xuehai He, Shu Chen, Zeqian Ju, Xiangyu Dong, Hongchao Fang, Sicheng Wang, Yue Yang, Jiaqi Zeng, Ruisi Zhang, Ruoyu Zhang, Meng Zhou, Penghui Zhu, Pengtao Xie
Medical dialogue systems are promising in assisting in telemedicine to increase access to healthcare services, improve the quality of patient care, and reduce medical costs.