Chang Liu - RankMe

22 papers A* 3A 4Misc 1Journal 10Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DAG: Deep Adaptive and Generative CoRR Chang Liu, Yuwen Yang, Yue Ding, Hongtao Lu, Wenqing Lin, Ziming Wu, Wendong Bi
2025	A	`conf`	From Anchors to Answers: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models. CIKM Yanbiao Ji, Chang Liu, Xin Chen, Dan Luo, Mei Li, Yue Ding, Wenqing Lin, Hongtao Lu
2025	A*	`conf`	Generating Negative Samples for Multi-Modal Recommendation. ACM Multimedia Yanbiao Ji, Dan Luo, Chang Liu, Shaokai Wu, Jing Tong, Qichen He, Deyi Ji, Hongtao Lu, Yue Ding
2025	J	`jnl`	Generating Negative Samples for Multi-Modal Recommendation. CoRR Yanbiao Ji, Yue Ding, Dan Luo, Chang Liu, Jing Tong, Shaokai Wu, Hongtao Lu
2025	A	`conf`	Towards Personalized Federated Multi-Scenario Multi-Task Recommendation. WSDM Yue Ding, Yanbiao Ji, Xun Cai, Xin Xin, Yuxiang Lu, Suizhi Huang, Chang Liu, Xiaofeng Gao, Tsuyoshi Murata, Hongtao Lu
2024	A	`conf`	BARTENDER: A simple baseline model for task-level heterogeneous federated learning. ICME Yuwen Yang, Yuxiang Lu, Suizhi Huang, Shalayiding Sirejiding, Chang Liu, Muyang Yi, Zhaozhi Xie, Yue Ding, Hongtao Lu
2024	A*	`conf`	Beyond Binary Preference: Leveraging Bayesian Approaches for Joint Optimization of Ranking and Calibration. KDD Chang Liu, QiWei Wang, Wenqing Lin, Yue Ding, Hongtao Lu
2024	A*	`conf`	DAG: Deep Adaptive and Generative KDD Chang Liu, Yuwen Yang, Yue Ding, Hongtao Lu, Wenqing Lin, Ziming Wu, Wendong Bi
2024	—	`conf`	Decoupling Classification and Localization of CLIP. ICME Workshops Muyang Yi, Zhaozhi Xie, Yuwen Yang, Chang Liu, Yue Ding, Hongtao Lu
2024	—	`conf`	Mediate: Mixture Domain Model-Agnostic Federated Learning. DASFAA (1) Chang Liu, Yuwen Yang, Xun Cai, Yue Ding, Hongtao Lu
2024	J	`jnl`	NT-LLM: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models. CoRR Yanbiao Ji, Chang Liu, Xin Chen, Yue Ding, Dan Luo, Mei Li, Wenqing Lin, Hongtao Lu
2024	J	`jnl`	Topology-Aware Popularity Debiasing via Simplicial Complexes. CoRR Yanbiao Ji, Yue Ding, Chang Liu, Yuxiang Lu, Xin Xin, Hongtao Lu
2024	Misc	`conf`	UNIDEAL: Curriculum Knowledge Distillation Federated Learning. ICASSP Yuwen Yang, Chang Liu, Xun Cai, Suizhi Huang, Hongtao Lu, Yue Ding
2023	A	`conf`	Position-Aware Subgraph Neural Networks with Data-Efficient Learning. WSDM Chang Liu, Yuwen Yang, Zhe Xie, Hongtao Lu, Yue Ding
2023	J	`jnl`	UNIDEAL: Curriculum Knowledge Distillation Federated Learning. CoRR Yuwen Yang, Chang Liu, Xun Cai, Suizhi Huang, Hongtao Lu, Yue Ding
2022	J	`jnl`	Completely Heterogeneous Federated Learning. CoRR Chang Liu, Yuwen Yang, Xun Cai, Yue Ding, Hongtao Lu
2022	J	`jnl`	EDEN: A Plug-in Equivariant Distance Encoding to Beyond the 1-WL Test. CoRR Chang Liu, Yuwen Yang, Yue Ding, Hongtao Lu
2022	J	`jnl`	NoMorelization: Building Normalizer-Free Models from a Sample's Perspective. CoRR Chang Liu, Yuwen Yang, Yue Ding, Hongtao Lu
2022	J	`jnl`	Position-Aware Subgraph Neural Networks with Data-Efficient Learning. CoRR Chang Liu, Yuwen Yang, Zhe Xie, Hongtao Lu, Yue Ding
2020	—	`conf`	A Highly Efficient Training-Aware Convolutional Neural Network Compression Paradigm. ICME Workshops Chang Liu, Hongtao Lu
2020	—	`conf`	LRNNET: A Light-Weighted Network with Efficient Reduced Non-Local Operation for Real-Time Semantic Segmentation. ICME Workshops Weihao Jiang, Zhaozhi Xie, Yaoyi Li, Chang Liu, Hongtao Lu
2020	J	`jnl`	LRNNet: A Light-Weighted Network with Efficient Reduced Non-Local Operation for Real-Time Semantic Segmentation. CoRR Weihao Jiang, Zhaozhi Xie, Yaoyi Li, Chang Liu, Hongtao Lu