Shiji Zhou

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 26

Top Topics

Graph Classification

Reinforcement Learning

Domain Adaptation

Top Venues

IEEE Trans. Multim.

Publications

Yongliang Wu, Shiji Zhou, Mingzhuo Yang, Lianzhe Wang, Wenbo Zhu, Heng Chang, Xiao Zhou, Xu Yang
Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient. CoRR (2024)
Yifei He, Shiji Zhou, Guojun Zhang, Hyokun Yun, Yi Xu, Belinda Zeng, Trishul Chilimbi, Han Zhao
Robust Multi-Task Learning with Excess Risks. CoRR (2024)
Xin Wang, Heng Chang, Beini Xie, Tian Bian, Shiji Zhou, Daixin Wang, Zhiqiang Zhang, Wenwu Zhu
Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Chenming Shang, Shiji Zhou, Hengyuan Zhang, Xinzhe Ni, Yujiu Yang, Yuwang Wang
Incremental Residual Concept Bottleneck Models. CoRR (2024)
Dujin Liu, Shiji Zhou, Rong Shen, Xuegang Luo
Color Image Edge Detection Method Based on the Improved Whale Optimization Algorithm. IEEE Access 11 (2023)
Tianchi Cai, Shenliao Bao, Jiyan Jiang, Shiji Zhou, Wenpeng Zhang, Lihong Gu, Jinjie Gu, Guannan Zhang
Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems. CoRR (2023)
Tianchi Cai, Shenliao Bao, Jiyan Jiang, Shiji Zhou, Wenpeng Zhang, Lihong Gu, Jinjie Gu, Guannan Zhang
Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems. SIGIR (2023)
Jiyan Jiang, Wenpeng Zhang, Shiji Zhou, Lihong Gu, Xiaodong Zeng, Wenwu Zhu
Multi-Objective Online Learning. ICLR (2023)
Yinan Mao, Bowei He, Shiji Zhou, Chen Ma, Zhi Wang
Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling. ICME (2023)
Qianjin Du, Shiji Zhou, Xiaohui Kuang, Gang Zhao, Jidong Zhai
Joint Geometrical and Statistical Domain Adaptation for Cross-domain Code Vulnerability Detection. EMNLP (2023)
Huilin Zhu, Jiaqing Wu, Shiji Zhou
Analyze and identify the composition of glass products based on statistical analysis methods. ICMLCA (2023)
Shiji Zhou, Zhi Wang, Chenghao Hu, Yinan Mao, Haopeng Yan, Shanghang Zhang, Chuan Wu, Wenwu Zhu
Caching in Dynamic Environments: A Near-Optimal Online Learning Approach. IEEE Trans. Multim. 25 (2023)
Bowei He, Yinan Mao, Shiji Zhou, Chen Ma, Zhi Wang
Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling. CoRR (2023)
Yinan Mao, Shiji Zhou, Haochen Liu, Zhi Wang, Wenwu Zhu
Dynamic Edge Caching via Online Meta-RL. IJCNN (2023)
Tianchi Cai, Jiyan Jiang, Wenpeng Zhang, Shiji Zhou, Xierui Song, Li Yu, Lihong Gu, Xiaodong Zeng, Jinjie Gu, Guannan Zhang
Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning. CoRR (2023)
Zhi Zhang, Qizhe Zhang, Zijun Gao, Renrui Zhang, Ekaterina Shutova, Shiji Zhou, Shanghang Zhang
Gradient-based Parameter Selection for Efficient Fine-Tuning. CoRR (2023)
Tianchi Cai, Jiyan Jiang, Wenpeng Zhang, Shiji Zhou, Xierui Song, Li Yu, Lihong Gu, Xiaodong Zeng, Jinjie Gu, Guannan Zhang
Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning. WSDM (2023)
Lianzhe Wang, Shiji Zhou, Shanghang Zhang, Xu Chu, Heng Chang, Wenwu Zhu
Improving Generalization of Meta-Learning with Inverted Regularization at Inner-Level. CVPR (2023)
Jing Dong, Shiji Zhou, Baoxiang Wang, Han Zhao
Algorithms and Theory for Supervised Gradual Domain Adaptation. Trans. Mach. Learn. Res. 2022 (2022)
Jing Dong, Shiji Zhou, Baoxiang Wang, Han Zhao
Algorithms and Theory for Supervised Gradual Domain Adaptation. CoRR (2022)
Shiji Zhou, Lianzhe Wang, Shanghang Zhang, Zhi Wang, Wenwu Zhu
Active Gradual Domain Adaptation: Dataset and Approach. IEEE Trans. Multim. 24 (2022)
Shiji Zhou, Han Zhao, Shanghang Zhang, Lianzhe Wang, Heng Chang, Zhi Wang, Wenwu Zhu
Online Continual Adaptation with Active Self-Training. AISTATS (2022)
Shiji Zhou, Wenpeng Zhang, Jiyan Jiang, Wenliang Zhong, Jinjie Gu, Wenwu Zhu
On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond. NeurIPS (2022)
Beini Xie, Heng Chang, Xin Wang, Tian Bian, Shiji Zhou, Daixin Wang, Zhiqiang Zhang, Wenwu Zhu
Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification. CoRR (2022)
Shiji Zhou, Han Zhao, Shanghang Zhang, Lianzhe Wang, Heng Chang, Zhi Wang, Wenwu Zhu
Online Continual Adaptation with Active Self-Training. CoRR (2021)
Heng Chang, Yu Rong, Tingyang Xu, Yatao Bian, Shiji Zhou, Xin Wang, Junzhou Huang, Wenwu Zhu
Not All Low-Pass Filters are Robust in Graph Convolutional Networks. NeurIPS (2021)