Not All Low-Pass Filters are Robust in Graph Convolutional Networks. - Heng Chang; Yu Rong 001; Tingyang Xu; Yatao Bian; Shiji Zhou; Xin Wang 019; Junzhou Huang; Wenwu Zhu 001 (NeurIPS, 2021)

Online Continual Adaptation with Active Self-Training. - Shiji Zhou; Han Zhao 002; Shanghang Zhang; Lianzhe Wang; Heng Chang; Zhi Wang 001; Wenwu Zhu 001 (AISTATS, 2022)

On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond. - Shiji Zhou; Wenpeng Zhang 003; Jiyan Jiang; Wenliang Zhong; Jinjie Gu; Wenwu Zhu 001 (NeurIPS, 2022)

Algorithms and Theory for Supervised Gradual Domain Adaptation. - Jing Dong 008; Shiji Zhou; Baoxiang Wang 001; Han Zhao 002 (Trans. Mach. Learn. Res., 2022)

Active Gradual Domain Adaptation: Dataset and Approach. - Shiji Zhou; Lianzhe Wang; Shanghang Zhang; Zhi Wang 001; Wenwu Zhu 001 (IEEE Trans. Multim., 2022)

Improving Generalization of Meta-Learning with Inverted Regularization at Inner-Level. - Lianzhe Wang; Shiji Zhou; Shanghang Zhang; Xu Chu; Heng Chang; Wenwu Zhu 001 (CVPR, 2023)

Joint Geometrical and Statistical Domain Adaptation for Cross-domain Code Vulnerability Detection. - Qianjin Du; Shiji Zhou; Xiaohui Kuang; Gang Zhao; Jidong Zhai (EMNLP, 2023)

Multi-Objective Online Learning. - Jiyan Jiang; Wenpeng Zhang 003; Shiji Zhou; Lihong Gu; Xiaodong Zeng; Wenwu Zhu 001 (ICLR, 2023)

Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling. - Yinan Mao; Bowei He; Shiji Zhou; Chen Ma 001; Zhi Wang 001 (ICME, 2023)

Analyze and identify the composition of glass products based on statistical analysis methods. - Huilin Zhu; Jiaqing Wu; Shiji Zhou (ICMLCA, 2023)

Dynamic Edge Caching via Online Meta-RL. - Yinan Mao; Shiji Zhou; Haochen Liu; Zhi Wang 001; Wenwu Zhu 001 (IJCNN, 2023)

Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems. - Tianchi Cai; Shenliao Bao; Jiyan Jiang; Shiji Zhou; Wenpeng Zhang 003; Lihong Gu; Jinjie Gu; Guannan Zhang (SIGIR, 2023)

Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning. - Tianchi Cai; Jiyan Jiang; Wenpeng Zhang 003; Shiji Zhou; Xierui Song; Li Yu; Lihong Gu; Xiaodong Zeng; Jinjie Gu; Guannan Zhang (WSDM, 2023)

Color Image Edge Detection Method Based on the Improved Whale Optimization Algorithm. - Dujin Liu; Shiji Zhou; Rong Shen; Xuegang Luo (IEEE Access, 2023)

Caching in Dynamic Environments: A Near-Optimal Online Learning Approach. - Shiji Zhou; Zhi Wang 001; Chenghao Hu; Yinan Mao; Haopeng Yan; Shanghang Zhang; Chuan Wu 001; Wenwu Zhu 001 (IEEE Trans. Multim., 2023)

Incremental Residual Concept Bottleneck Models. - Chenming Shang; Shiji Zhou; Hengyuan Zhang; Xinzhe Ni; Yujiu Yang; Yuwang Wang (CVPR, 2024)

Gradient-based Parameter Selection for Efficient Fine-Tuning. - Zhi Zhang 009; Qizhe Zhang; Zijun Gao; Renrui Zhang; Ekaterina Shutova; Shiji Zhou; Shanghang Zhang (CVPR, 2024)

Robust Multi-Task Learning with Excess Risks. - Yifei He; Shiji Zhou; Guojun Zhang; Hyokun Yun; Yi Xu 011; Belinda Zeng; Trishul Chilimbi; Han Zhao 002 (ICML, 2024)

Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient. - Yongliang Wu; Shiji Zhou; Mingzhuo Yang; Lianzhe Wang; Wenbo Zhu; Heng Chang; Xiao Zhou; Xu Yang 021 (CoRR, 2024)

On the Limitations and Prospects of Machine Unlearning for Generative AI. - Shiji Zhou; Lianzhe Wang; Jiangnan Ye 003; Yongliang Wu; Heng Chang (CoRR, 2024)

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective. - Zhi Zhang 009; Jiayi Shen; Congfeng Cao; Gaole Dai; Shiji Zhou; Qizhe Zhang; Shanghang Zhang; Ekaterina Shutova (CoRR, 2024)

Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification. - Xin Wang 019; Heng Chang; Beini Xie; Tian Bian; Shiji Zhou; Daixin Wang; Zhiqiang Zhang 012; Wenwu Zhu 001 (IEEE Trans. Knowl. Data Eng., 2024)

Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient. - Yongliang Wu; Shiji Zhou; Mingzhuo Yang; Lianzhe Wang; Heng Chang; Wenbo Zhu; Xinting Hu; Xiao Zhou; Xu Yang 021 (AAAI, 2025)

Implanting Robust Watermarks in Latent Diffusion Models for Video Generation. - Xiaohang Liu; Heng Chang; Jinfu Wei; Lei Zhu; Li Liu; Likun Li; Shiji Zhou; Chengyuan Li; Di Xu; Wei Gao 003 (ICASSP, 2025)

Dual-Process Watermarked Diffusion: Integrating Watermarking With Denoising in Point Clouds. - Jinfu Wei; Heng Chang; Xiaohang Liu; Li Liu; Likun Li; Shiji Zhou; Chengyuan Li; Di Xu; Wei Gao 003; Ran Liao (ICASSP, 2025)