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2020 – today
- 2024
[j5]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): 2166-2178 (2024)- [c14]Chenming Shang, Shiji Zhou, Hengyuan Zhang, Xinzhe Ni, Yujiu Yang, Yuwang Wang:
Incremental Residual Concept Bottleneck Models. CVPR 2024: 11030-11040 - [c13]Zhi Zhang, Qizhe Zhang, Zijun Gao, Renrui Zhang, Ekaterina Shutova, Shiji Zhou, Shanghang Zhang:
Gradient-based Parameter Selection for Efficient Fine-Tuning. CVPR 2024: 28566-28577 - [c12]Yifei He, Shiji Zhou, Guojun Zhang, Hyokun Yun, Yi Xu, Belinda Zeng, Trishul Chilimbi, Han Zhao:
Robust Multi-Task Learning with Excess Risks. ICML 2024 - [i12]Yifei He, Shiji Zhou, Guojun Zhang, Hyokun Yun, Yi Xu, Belinda Zeng, Trishul Chilimbi, Han Zhao:
Robust Multi-Task Learning with Excess Risks. CoRR abs/2402.02009 (2024) - [i11]Chenming Shang, Shiji Zhou, Hengyuan Zhang, Xinzhe Ni, Yujiu Yang, Yuwang Wang:
Incremental Residual Concept Bottleneck Models. CoRR abs/2404.08978 (2024) - [i10]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 abs/2405.15304 (2024) - [i9]Shiji Zhou, Lianzhe Wang, Jiangnan Ye, Yongliang Wu, Heng Chang:
On the Limitations and Prospects of Machine Unlearning for Generative AI. CoRR abs/2408.00376 (2024) - [i8]Zhi Zhang, Jiayi Shen, Congfeng Cao, Gaole Dai, Shiji Zhou, Qizhe Zhang, Shanghang Zhang, Ekaterina Shutova:
Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective. CoRR abs/2411.18615 (2024) - 2023
- [j4]Dujin Liu, Shiji Zhou, Rong Shen, Xuegang Luo:
Color Image Edge Detection Method Based on the Improved Whale Optimization Algorithm. IEEE Access 11: 5981-5989 (2023) - [j3]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: 792-804 (2023) - [c11]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: 7826-7835 - [c10]Qianjin Du, Shiji Zhou, Xiaohui Kuang, Gang Zhao, Jidong Zhai:
Joint Geometrical and Statistical Domain Adaptation for Cross-domain Code Vulnerability Detection. EMNLP 2023: 12791-12800 - [c9]Jiyan Jiang, Wenpeng Zhang, Shiji Zhou, Lihong Gu, Xiaodong Zeng, Wenwu Zhu:
Multi-Objective Online Learning. ICLR 2023 - [c8]Yinan Mao, Bowei He, Shiji Zhou, Chen Ma, Zhi Wang:
Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling. ICME 2023: 972-977 - [c7]Huilin Zhu, Jiaqing Wu, Shiji Zhou:
Analyze and identify the composition of glass products based on statistical analysis methods. ICMLCA 2023: 573-576 - [c6]Yinan Mao, Shiji Zhou, Haochen Liu, Zhi Wang, Wenwu Zhu:
Dynamic Edge Caching via Online Meta-RL. IJCNN 2023: 1-10 - [c5]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: 2179-2183 - [c4]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: 186-194 - [i7]Bowei He, Yinan Mao, Shiji Zhou, Chen Ma, Zhi Wang:
Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling. CoRR abs/2308.04205 (2023) - [i6]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 abs/2308.13246 (2023) - [i5]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 abs/2309.02669 (2023) - [i4]Zhi Zhang, Qizhe Zhang, Zijun Gao, Renrui Zhang, Ekaterina Shutova, Shiji Zhou, Shanghang Zhang:
Gradient-based Parameter Selection for Efficient Fine-Tuning. CoRR abs/2312.10136 (2023) - 2022
- [j2]Jing Dong, Shiji Zhou, Baoxiang Wang, Han Zhao:
Algorithms and Theory for Supervised Gradual Domain Adaptation. Trans. Mach. Learn. Res. 2022 (2022) - [j1]Shiji Zhou, Lianzhe Wang, Shanghang Zhang, Zhi Wang, Wenwu Zhu:
Active Gradual Domain Adaptation: Dataset and Approach. IEEE Trans. Multim. 24: 1210-1220 (2022) - [c3]Shiji Zhou, Han Zhao, Shanghang Zhang, Lianzhe Wang, Heng Chang, Zhi Wang, Wenwu Zhu:
Online Continual Adaptation with Active Self-Training. AISTATS 2022: 8852-8883 - [c2]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 - [i3]Jing Dong, Shiji Zhou, Baoxiang Wang, Han Zhao:
Algorithms and Theory for Supervised Gradual Domain Adaptation. CoRR abs/2204.11644 (2022) - [i2]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 abs/2208.06651 (2022) - 2021
- [c1]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: 25058-25071 - [i1]Shiji Zhou, Han Zhao, Shanghang Zhang, Lianzhe Wang, Heng Chang, Zhi Wang, Wenwu Zhu:
Online Continual Adaptation with Active Self-Training. CoRR abs/2106.06526 (2021)
Coauthor Index
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