Shiji Zhou - RankMe

38 papers A* 10A 3B 1Misc 2Journal 21Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A-MapReduce: Executing Wide Search via Agentic MapReduce. CoRR Mingju Chen, Guibin Zhang, Heng Chang, Yuchen Guo, Shiji Zhou
2026	J	`jnl`	All-Mem: Agentic Lifelong Memory via Dynamic Topology Evolution. CoRR Can Lv, Heng Chang, Yuchen Guo, Shengyu Tao, Shiji Zhou
2026	J	`jnl`	EraseAnything++: Enabling Concept Erasure in Rectified Flow Transformers Leveraging Multi-Object Optimization. CoRR Zhaoxin Fan, Nanxiang Jiang, Daiheng Gao, Shiji Zhou, Wenjun Wu
2025	Misc	`conf`	Dual-Process Watermarked Diffusion: Integrating Watermarking With Denoising in Point Clouds. ICASSP Jinfu Wei, Heng Chang, Xiaohang Liu, Li Liu, Likun Li, Shiji Zhou, Chengyuan Li, Di Xu, Wei Gao, Ran Liao
2025	J	`jnl`	Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery. CoRR Shiji Zhou, Tianbai Yu, Zhi Zhang, Heng Chang, Xiao Zhou, Dong Wu, Han Zhao
2025	Misc	`conf`	Implanting Robust Watermarks in Latent Diffusion Models for Video Generation. ICASSP Xiaohang Liu, Heng Chang, Jinfu Wei, Lei Zhu, Li Liu, Likun Li, Shiji Zhou, Chengyuan Li, Di Xu, Wei Gao
2025	A*	`conf`	Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient. AAAI Yongliang Wu, Shiji Zhou, Mingzhuo Yang, Lianzhe Wang, Heng Chang, Wenbo Zhu, Xinting Hu, Xiao Zhou, Xu Yang
2024	A*	`conf`	Gradient-based Parameter Selection for Efficient Fine-Tuning. CVPR Zhi Zhang, Qizhe Zhang, Zijun Gao, Renrui Zhang, Ekaterina Shutova, Shiji Zhou, Shanghang Zhang
2024	A*	`conf`	Incremental Residual Concept Bottleneck Models. CVPR Chenming Shang, Shiji Zhou, Hengyuan Zhang, Xinzhe Ni, Yujiu Yang, Yuwang Wang
2024	J	`jnl`	Incremental Residual Concept Bottleneck Models. CoRR Chenming Shang, Shiji Zhou, Hengyuan Zhang, Xinzhe Ni, Yujiu Yang, Yuwang Wang
2024	J	`jnl`	On the Limitations and Prospects of Machine Unlearning for Generative AI. CoRR Shiji Zhou, Lianzhe Wang, Jiangnan Ye, Yongliang Wu, Heng Chang
2024	J	`jnl`	Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective. CoRR Zhi Zhang, Jiayi Shen, Congfeng Cao, Gaole Dai, Shiji Zhou, Qizhe Zhang, Shanghang Zhang, Ekaterina Shutova
2024	J	`jnl`	Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification. IEEE Trans. Knowl. Data Eng. Xin Wang, Heng Chang, Beini Xie, Tian Bian, Shiji Zhou, Daixin Wang, Zhiqiang Zhang, Wenwu Zhu
2024	A*	`conf`	Robust Multi-Task Learning with Excess Risks. ICML Yifei He, Shiji Zhou, Guojun Zhang, Hyokun Yun, Yi Xu, Belinda Zeng, Trishul Chilimbi, Han Zhao
2024	J	`jnl`	Robust Multi-Task Learning with Excess Risks. CoRR Yifei He, Shiji Zhou, Guojun Zhang, Hyokun Yun, Yi Xu, Belinda Zeng, Trishul Chilimbi, Han Zhao
2024	J	`jnl`	Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient. CoRR Yongliang Wu, Shiji Zhou, Mingzhuo Yang, Lianzhe Wang, Wenbo Zhu, Heng Chang, Xiao Zhou, Xu Yang
2023	—	`conf`	Analyze and identify the composition of glass products based on statistical analysis methods. ICMLCA Huilin Zhu, Jiaqing Wu, Shiji Zhou
2023	J	`jnl`	Caching in Dynamic Environments: A Near-Optimal Online Learning Approach. IEEE Trans. Multim. Shiji Zhou, Zhi Wang, Chenghao Hu, Yinan Mao, Haopeng Yan, Shanghang Zhang, Chuan Wu, Wenwu Zhu
2023	A	`conf`	Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling. ICME Yinan Mao, Bowei He, Shiji Zhou, Chen Ma, Zhi Wang
2023	J	`jnl`	Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling. CoRR Bowei He, Yinan Mao, Shiji Zhou, Chen Ma, Zhi Wang
2023	J	`jnl`	Color Image Edge Detection Method Based on the Improved Whale Optimization Algorithm. IEEE Access Dujin Liu, Shiji Zhou, Rong Shen, Xuegang Luo
2023	B	`conf`	Dynamic Edge Caching via Online Meta-RL. IJCNN Yinan Mao, Shiji Zhou, Haochen Liu, Zhi Wang, Wenwu Zhu
2023	J	`jnl`	Gradient-based Parameter Selection for Efficient Fine-Tuning. CoRR Zhi Zhang, Qizhe Zhang, Zijun Gao, Renrui Zhang, Ekaterina Shutova, Shiji Zhou, Shanghang Zhang
2023	A*	`conf`	Improving Generalization of Meta-Learning with Inverted Regularization at Inner-Level. CVPR Lianzhe Wang, Shiji Zhou, Shanghang Zhang, Xu Chu, Heng Chang, Wenwu Zhu
2023	A*	`conf`	Joint Geometrical and Statistical Domain Adaptation for Cross-domain Code Vulnerability Detection. EMNLP Qianjin Du, Shiji Zhou, Xiaohui Kuang, Gang Zhao, Jidong Zhai
2023	A	`conf`	Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning. WSDM Tianchi Cai, Jiyan Jiang, Wenpeng Zhang, Shiji Zhou, Xierui Song, Li Yu, Lihong Gu, Xiaodong Zeng, Jinjie Gu, Guannan Zhang
2023	J	`jnl`	Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning. CoRR Tianchi Cai, Jiyan Jiang, Wenpeng Zhang, Shiji Zhou, Xierui Song, Li Yu, Lihong Gu, Xiaodong Zeng, Jinjie Gu, Guannan Zhang
2023	A*	`conf`	Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems. SIGIR Tianchi Cai, Shenliao Bao, Jiyan Jiang, Shiji Zhou, Wenpeng Zhang, Lihong Gu, Jinjie Gu, Guannan Zhang
2023	J	`jnl`	Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems. CoRR Tianchi Cai, Shenliao Bao, Jiyan Jiang, Shiji Zhou, Wenpeng Zhang, Lihong Gu, Jinjie Gu, Guannan Zhang
2023	A*	`conf`	Multi-Objective Online Learning. ICLR Jiyan Jiang, Wenpeng Zhang, Shiji Zhou, Lihong Gu, Xiaodong Zeng, Wenwu Zhu
2022	J	`jnl`	Active Gradual Domain Adaptation: Dataset and Approach. IEEE Trans. Multim. Shiji Zhou, Lianzhe Wang, Shanghang Zhang, Zhi Wang, Wenwu Zhu
2022	J	`jnl`	Algorithms and Theory for Supervised Gradual Domain Adaptation. CoRR Jing Dong, Shiji Zhou, Baoxiang Wang, Han Zhao
2022	J	`jnl`	Algorithms and Theory for Supervised Gradual Domain Adaptation. Trans. Mach. Learn. Res. Jing Dong, Shiji Zhou, Baoxiang Wang, Han Zhao
2022	A*	`conf`	On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond. NeurIPS Shiji Zhou, Wenpeng Zhang, Jiyan Jiang, Wenliang Zhong, Jinjie Gu, Wenwu Zhu
2022	A	`conf`	Online Continual Adaptation with Active Self-Training. AISTATS Shiji Zhou, Han Zhao, Shanghang Zhang, Lianzhe Wang, Heng Chang, Zhi Wang, Wenwu Zhu
2022	J	`jnl`	Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification. CoRR Beini Xie, Heng Chang, Xin Wang, Tian Bian, Shiji Zhou, Daixin Wang, Zhiqiang Zhang, Wenwu Zhu
2021	A*	`conf`	Not All Low-Pass Filters are Robust in Graph Convolutional Networks. NeurIPS Heng Chang, Yu Rong, Tingyang Xu, Yatao Bian, Shiji Zhou, Xin Wang, Junzhou Huang, Wenwu Zhu
2021	J	`jnl`	Online Continual Adaptation with Active Self-Training. CoRR Shiji Zhou, Han Zhao, Shanghang Zhang, Lianzhe Wang, Heng Chang, Zhi Wang, Wenwu Zhu