Hongyan Hao

According to our database, Hongyan Hao authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

EasyTPP: Towards Open Benchmarking Temporal Point Processes.

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Enhancing Event Sequence Modeling with Contrastive Relational Inference.

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

Proceedings of the IEEE International Conference on Acoustics, 2024

LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs.

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Prompt-augmented Temporal Point Process for Streaming Event Sequence.

Siqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao Jiang, Hongyan Hao, Gangwei Jiang, Xiaoyun Feng, James Y. Zhang, Jun Zhou

CoRR, 2023

Leveraging Large Language Models for Pre-trained Recommender Systems.

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

CoRR, 2023

Enhancing Recommender Systems with Large Language Model Reasoning Graphs.

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

CoRR, 2023

Continual Learning in Predictive Autoscaling.

Hongyan Hao, Zhixuan Chu, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao Jiang, James Zhang, Wei Jiang, Siqiao Xue, Jun Zhou

CoRR, 2023

EasyTPP: Towards Open Benchmarking the Temporal Point Processes.

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

CoRR, 2023

Prompt-augmented Temporal Point Process for Streaming Event Sequence.

Siqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao Jiang, Hongyan Hao, Gangwei Jiang, Xiaoyun Feng, James Zhang, Jun Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference.

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

Proceedings of the IEEE International Conference on Data Mining, 2023

Continual Learning in Predictive Autoscaling.

Hongyan Hao, Zhixuan Chu, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao Jiang, James Y. Zhang, Wei Jiang, Siqiao Xue, Jun Zhou

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Learning Large-scale Universal User Representation with Sparse Mixture of Experts.

Caigao Jiang, Siqiao Xue, James Zhang, Lingyue Liu, Zhibo Zhu, Hongyan Hao

CoRR, 2022

2021

A Graph Regularized Point Process Model For Event Propagation Sequence.

Siqiao Xue, Xiaoming Shi, Hongyan Hao, Lintao Ma, James Zhang, Shiyu Wang, Shijun Wang

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Image Clustering via Deep Embedded Dimensionality Reduction and Probability-Based Triplet Loss.

Yuanjie Yan, Hongyan Hao, Baile Xu, Jian Zhao, Furao Shen

IEEE Trans. Image Process., 2020

Temporal Convolutional Attention-based Network For Sequence Modeling.

Hongyan Hao, Yan Wang, Yudi Xia, Jian Zhao, Furao Shen

CoRR, 2020