Hongyan Hao

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Point Processes

Collective Classification

Temporal Sequences

Top Venues

IEEE Trans. Image Process.

Publications

Yan Wang, Zhixuan Chu, Tao Zhou, Caigao Jiang, Hongyan Hao, Minjie Zhu, Xindong Cai, Qing Cui, Longfei Li, James Y. Zhang, Siqiao Xue, Jun Zhou
Enhancing Event Sequence Modeling with Contrastive Relational Inference. ICASSP (2024)
Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Hongyan Hao, Fan Zhou, Caigao Jiang, Chen Pan, James Y. Zhang, Qingsong Wen, Jun Zhou, Hongyuan Mei
EasyTPP: Towards Open Benchmarking Temporal Point Processes. ICLR (2024)
Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li
LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs. AAAI (2024)
Zhixuan Chu, Hongyan Hao, Xin Ouyang, Simeng Wang, Yan Wang, Yue Shen, Jinjie Gu, Qing Cui, Longfei Li, Siqiao Xue, James Y. Zhang, Sheng Li
Leveraging Large Language Models for Pre-trained Recommender Systems. CoRR (2023)
Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Fan Zhou, Hongyan Hao, Caigao Jiang, Chen Pan, Yi Xu, James Y. Zhang, Qingsong Wen, Jun Zhou, Hongyuan Mei
EasyTPP: Towards Open Benchmarking the Temporal Point Processes. CoRR (2023)
Yan Wang, Zhixuan Chu, Tao Zhou, Caigao Jiang, Hongyan Hao, Minjie Zhu, Xindong Cai, Qing Cui, Longfei Li, James Y. Zhang, Siqiao Xue, Jun Zhou
Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference. ICDM (Workshops) (2023)
Siqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao Jiang, Hongyan Hao, Gangwei Jiang, Xiaoyun Feng, James Y. Zhang, Jun Zhou
Prompt-augmented Temporal Point Process for Streaming Event Sequence. CoRR (2023)
Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Y. Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li
Enhancing Recommender Systems with Large Language Model Reasoning Graphs. CoRR (2023)
Hongyan Hao, Zhixuan Chu, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao Jiang, James Y. Zhang, Wei Jiang, Siqiao Xue, Jun Zhou
Continual Learning in Predictive Autoscaling. CIKM (2023)
Siqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao Jiang, Hongyan Hao, Gangwei Jiang, Xiaoyun Feng, James Zhang, Jun Zhou
Prompt-augmented Temporal Point Process for Streaming Event Sequence. NeurIPS (2023)
Yan Wang, Zhixuan Chu, Tao Zhou, Caigao Jiang, Hongyan Hao, Minjie Zhu, Xindong Cai, Qing Cui, Longfei Li, James Y. Zhang, Siqiao Xue, Jun Zhou
Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference. CoRR (2023)
Hongyan Hao, Zhixuan Chu, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao Jiang, James Zhang, Wei Jiang, Siqiao Xue, Jun Zhou
Continual Learning in Predictive Autoscaling. CoRR (2023)
Caigao Jiang, Siqiao Xue, James Zhang, Lingyue Liu, Zhibo Zhu, Hongyan Hao
Learning Large-scale Universal User Representation with Sparse Mixture of Experts. CoRR (2022)
Siqiao Xue, Xiaoming Shi, Hongyan Hao, Lintao Ma, Shiyu Wang, Shijun Wang, James Zhang
A Graph Regularized Point Process Model For Event Propagation Sequence. CoRR (2022)
Siqiao Xue, Xiaoming Shi, Hongyan Hao, Lintao Ma, James Zhang, Shiyu Wang, Shijun Wang
A Graph Regularized Point Process Model For Event Propagation Sequence. IJCNN (2021)
Yuanjie Yan, Hongyan Hao, Baile Xu, Jian Zhao, Furao Shen
Image Clustering via Deep Embedded Dimensionality Reduction and Probability-Based Triplet Loss. IEEE Trans. Image Process. 29 (2020)
Hongyan Hao, Yan Wang, Yudi Xia, Jian Zhao, Furao Shen
Temporal Convolutional Attention-based Network For Sequence Modeling. CoRR (2020)