Ke, Yiping

12 publications

ICLR 2025 BrainOOD: Out-of-Distribution Generalizable Brain Network Analysis Jiaxing Xu, Yongqiang Chen, Xia Dong, Mengcheng Lan, Tiancheng Huang, Qingtian Bian, James Cheng, Yiping Ke

ICLR 2025 Text4Seg: Reimagining Image Segmentation as Text Generation Mengcheng Lan, Chaofeng Chen, Yue Zhou, Jiaxing Xu, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang

ECCV 2024 ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference Mengcheng Lan, Chaofeng Chen, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang

ECCV 2024 ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation Mengcheng Lan, Chaofeng Chen, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang

AAAI 2024 Union Subgraph Neural Networks Jiaxing Xu, Aihu Zhang, Qingtian Bian, Vijay Prakash Dwivedi, Yiping Ke

NeurIPS 2023 Data-Driven Network Neuroscience: On Data Collection and Benchmark Jiaxing Xu, Yunhan Yang, David Huang, Sophi Shilpa Gururajapathy, Yiping Ke, Miao Qiao, Alan Wang, Haribalan Kumar, Josh McGeown, Eryn Kwon

NeurIPS 2023 SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation Mengcheng Lan, Xinjiang Wang, Yiping Ke, Jiaxing Xu, Litong Feng, Wayne Zhang

AAAI 2020 Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks Tianbo Li, Yiping Ke

NeurIPS 2019 Thinning for Accelerating the Learning of Point Processes Tianbo Li, Yiping Ke

UAI 2017 A Fast Algorithm for Matrix Eigen-Decompositionn Zhiqiang Xu, Yiping Ke, Xin Gao

ICML 2017 Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression Pengfei Wei, Ramon Sagarna, Yiping Ke, Yew-Soon Ong, Chi-Keong Goh

IJCAI 2016 Deep Nonlinear Feature Coding for Unsupervised Domain Adaptation Pengfei Wei, Yiping Ke, Chi Keong Goh