Search Results for author: Zijian Wu

Found 5 papers, 3 papers with code

Real-time Surgical Instrument Segmentation in Video Using Point Tracking and Segment Anything

no code implementations12 Mar 2024 Zijian Wu, Adam Schmidt, Peter Kazanzides, Septimiu E. Salcudean

Inspired by this progress, we present a novel framework that combines an online point tracker with a lightweight SAM model that is fine-tuned for surgical instrument segmentation.

Point Tracking Segmentation +3

InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning

1 code implementation9 Feb 2024 Huaiyuan Ying, Shuo Zhang, Linyang Li, Zhejian Zhou, Yunfan Shao, Zhaoye Fei, Yichuan Ma, Jiawei Hong, Kuikun Liu, Ziyi Wang, Yudong Wang, Zijian Wu, Shuaibin Li, Fengzhe Zhou, Hongwei Liu, Songyang Zhang, Wenwei Zhang, Hang Yan, Xipeng Qiu, Jiayu Wang, Kai Chen, Dahua Lin

We further explore how to use LEAN to solve math problems and study its performance under the setting of multi-task learning which shows the possibility of using LEAN as a unified platform for solving and proving in math.

Data Augmentation GSM8K +3

SCTc-TE: A Comprehensive Formulation and Benchmark for Temporal Event Forecasting

1 code implementation2 Dec 2023 Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Liang Pang, Tat-Seng Chua

Temporal complex event forecasting aims to predict the future events given the observed events from history.

Context-aware Event Forecasting via Graph Disentanglement

1 code implementation12 Aug 2023 Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua

The task of event forecasting aims to model the relational and temporal patterns based on historical events and makes forecasting to what will happen in the future.

Disentanglement Link Prediction

HyperCI: A Higher Order Collective Influence Measure for Hypernetwork Dismantling

no code implementations10 Mar 2021 Dengcheng Yan, Zijian Wu, Yiwen Zhang

However, conventional network dismantling approaches focus on simple network which models only pairwise interaction between nodes while groupwise interactions among arbitrary number of nodes are ubiquitous in networked systems like integrated circuits.

Social and Information Networks Physics and Society

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