Yang Cao

35 papers A* 6A 1Journal 20Unranked 8
YearRankTypeTitle / Venue / Authors
2026 A* conf
IdeFN: Identifying Unclicked Space False Negatives via Relaxed Partial Optimal Transport for Conversion Rate Prediction.
AAAI
Weiyi Zhong, Weiming Liu, Lianyong Qi, Xiaoran Zhao, Xiaolong Xu, Haolong Xiang, Yang Cao, Shichao Pei, Qiang Ni
2026 A* conf
Retrieval-driven Reasoning for Deliberative Visual Classification.
AAAI
Jianye Xie, Lianyong Qi, Fan Wang, Anqi Wang, Wenjuan Gong, Danxin Wang, Wanchun Dou, Yang Cao, Shichao Pei, Xiaokang Zhou
2026 J jnl
Stochastic Voronoi Ensembles for Anomaly Detection.
CoRR
Yang Cao, Sikun Yang, Xuyun Zhang, Yujiu Yang
2026 A* conf
Towards Token-Level Text Anomaly Detection.
WWW
Yang Cao, Bicheng Yu, Sikun Yang, Ming Liu, Yujiu Yang
2026 J jnl
Towards Token-Level Text Anomaly Detection.
CoRR
Yang Cao, Bicheng Yu, Sikun Yang, Ming Liu, Yujiu Yang
2025 J jnl
Anomaly Detection Based on Isolation Mechanisms: A Survey.
Mach. Intell. Res.
Yang Cao, Haolong Xiang, Hang Zhang, Ye Zhu, Kai Ming Ting
2025 A* conf
Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation.
IJCAI
Haodong Li, Lianyong Qi, Weiming Liu, Xiaolong Xu, Wanchun Dou, Yang Cao, Xuyun Zhang, Amin Beheshti, Xiaokang Zhou
2025 A* conf
Boosting Guided Diffusion with Large Language Models for Multimodal Sequential Recommendation.
ACM Multimedia
Te Song, Lianyong Qi, Weiming Liu, Fan Wang, Xiaolong Xu, Hongsheng Hu, Yang Cao, Xuyun Zhang, Amin Beheshti
2025 A conf
HRCformer: Hierarchical Recursive Convolution-Transformer with Multi-Scale Adaptive Recalibration for Time Series Forecasting.
CIKM
Dejiang Zhang, Lianyong Qi, Yuwen Liu, Xucheng Zhou, Jianye Xie, Haolong Xiang, Xiaolong Xu, Xuyun Zhang, Yang Cao, Yang Zhang
2025 J jnl
Isolation-based Spherical Ensemble Representations for Anomaly Detection.
CoRR
Yang Cao, Sikun Yang, Hao Tian, Kai He, Lianyong Qi, Ming Liu, Yujiu Yang
2025 J jnl
Kernel Representation and Similarity Measure for Incomplete Data.
CoRR
Yang Cao, Sikun Yang, Kai He, Wenjun Ma, Ming Liu, Yujiu Yang, Jian Weng
2025 J jnl
Mining area skyline objects from map-based big data using Apache Spark framework.
Array
Chen Li, Ye Zhu, Yang Cao, Jinli Zhang, Annisa, Debo Cheng, Yasuhiko Morimoto
2025 J jnl
Revisiting streaming anomaly detection: benchmark and evaluation.
Artif. Intell. Rev.
Yang Cao, Yixiao Ma, Ye Zhu, Kai Ming Ting
2025 J jnl
TAD-Bench: A Comprehensive Benchmark for Embedding-Based Text Anomaly Detection.
CoRR
Yang Cao, Sikun Yang, Chen Li, Haolong Xiang, Lianyong Qi, Bo Liu, Rongsheng Li, Ming Liu
2025 — conf
Text Anomaly Detection with Simplified Isolation Kernel.
EMNLP (Findings)
Yang Cao, Sikun Yang, Yu-Jiu Yang, Lianyong Qi, Ming Liu
2025 J jnl
Text Anomaly Detection with Simplified Isolation Kernel.
CoRR
Yang Cao, Sikun Yang, Yujiu Yang, Lianyong Qi, Ming Liu
2024 — conf
A Data-Driven Framework for Identifying Abnormal Status in Natural Gas Wells.
ADMA (1)
Yang Cao, Yixiao Ma, Xichen Tang, Razeen A Rasheed, Hong Xian Li
2024 J jnl
A multimodal fusion network with attention mechanisms for visual-textual sentiment analysis.
Expert Syst. Appl.
Chenquan Gan, Xiang Fu, Qingdong Feng, Qingyi Zhu, Yang Cao, Ye Zhu
2024 J jnl
A survey of dialogic emotion analysis: Developments, approaches and perspectives.
Pattern Recognit.
Chenquan Gan, Jiahao Zheng, Qingyi Zhu, Yang Cao, Ye Zhu
2024 J jnl
Anomaly Detection Based on Isolation Mechanisms: A Survey.
CoRR
Yang Cao, Haolong Xiang, Hang Zhang, Ye Zhu, Kai Ming Ting
2024 J jnl
Automation and Orchestration of Zero Trust Architecture: Potential Solutions and Challenges.
Mach. Intell. Res.
Yang Cao, Shiva Raj Pokhrel, Ye Zhu, Robin Doss, Gang Li
2024 J jnl
Detecting Change Intervals with Isolation Distributional Kernel.
J. Artif. Intell. Res.
Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Luxing Yang, Gang Li
2024 A* conf
Detecting Change Intervalswith Isolation Distributional Kernel (Abstract Reprint).
IJCAI
Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Luxing Yang, Gang Li
2024 J jnl
Kernel-based iVAT with adaptive cluster extraction.
Knowl. Inf. Syst.
Baojie Zhang, Ye Zhu, Yang Cao, Sutharshan Rajasegarar, Gang Li, Gang Liu
2024 — conf
Local Subsequence-Based Distribution for Time Series Clustering.
PAKDD (1)
Lei Gong, Hang Zhang, Zongyou Liu, Kai Ming Ting, Yang Cao, Ye Zhu
2024 J jnl
Mining Area Skyline Objects from Map-based Big Data using Apache Spark Framework.
CoRR
Chen Li, Ye Zhu, Yang Cao, Jinli Zhang, Annisa, Debo Cheng, Yasuhiko Morimoto
2024 J jnl
RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic Observations.
CoRR
Kaichen Zhou, Yang Cao, Taewhan Kim, Hao Zhao, Hao Dong, Kai Ming Ting, Ye Zhu
2024 J jnl
Ripple Knowledge Graph Convolutional Networks for Recommendation Systems.
Mach. Intell. Res.
Chen Li, Yang Cao, Ye Zhu, Debo Cheng, Chengyuan Li, Yasuhiko Morimoto
2024 — conf
Robust Representation Learning for Image Clustering.
KSEM (4)
Pengcheng Jiang, Ye Zhu, Yang Cao, Gang Li, Gang Liu, Bo Yang
2023 — conf
An Enhanced Distributed Algorithm for Area Skyline Computation Based on Apache Spark.
KSEM (4)
Chen Li, Yang Cao, Ye Zhu, Jinli Zhang, Annisa, Debo Cheng, Huidong Tang, Shuai Jiang, Kenta Maruyama, Yasuhiko Morimoto
2023 — conf
An Improved Visual Assessment with Data-Dependent Kernel for Stream Clustering.
PAKDD (1)
Baojie Zhang, Yang Cao, Ye Zhu, Sutharshan Rajasegarar, Gang Liu, Hong Xian Li, Maia Angelova, Gang Li
2023 — conf
Kernel-Based Feature Extraction for Time Series Clustering.
KSEM (1)
Yuhang Liu, Yi Zhang, Yang Cao, Ye Zhu, Nayyar Zaidi, Chathu Ranaweera, Gang Li, Qingyi Zhu
2023 J jnl
Ripple Knowledge Graph Convolutional Networks For Recommendation Systems.
CoRR
Chen Li, Yang Cao, Ye Zhu, Debo Cheng, Chengyuan Li, Yasuhiko Morimoto
2022 J jnl
Detecting Change Intervals with Isolation Distributional Kernel.
CoRR
Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Gang Li
2021 — conf
Near Real-Time Federated Machine Learning Approach Over Chest Computed Tomography for COVID-19 Diagnosis.
ATIS
Yang Cao