Sitao Luan - RankMe

41 papers A* 7A 1B 1Misc 1Journal 26Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	EvoEdit: Evolving Null-space Alignment for Robust and Efficient Knowledge Editing. CoRR Sicheng Lyu, Yu Gu, Xinyu Wang, Jerry Huang, Sitao Luan, Yufei Cui, Xiao-Wen Chang, Peng Lu
2025	J	`jnl`	Exploring Heterophily in Graph-level Tasks. CoRR Qinhan Hou, Yilun Zheng, Xichun Zhang, Sitao Luan, Jing Tang
2025	—	`conf`	FanChuan: A Multilingual and Graph-Structured Benchmark For Parody Detection and Analysis. ACL (Findings) Yilun Zheng, Sha Li, Fangkun Wu, Yang Ziyi, Lin Hongchao, Zhichao Hu, Cai Xinjun, Ziming Wang, Jinxuan Chen, Sitao Luan, Jiahao Xu, Lihui Chen
2025	J	`jnl`	FanChuan: A Multilingual and Graph-Structured Benchmark For Parody Detection and Analysis. CoRR Yilun Zheng, Sha Li, Fangkun Wu, Yang Ziyi, Lin Hongchao, Zhichao Hu, Cai Xinjun, Ziming Wang, Jinxuan Chen, Sitao Luan, Jiahao Xu, Lihui Chen
2025	Misc	`conf`	Graph Neural Networks Meet Probabilistic Graphical Models: A Survey. ICASSP Chenqing Hua, Sitao Luan, Qian Zhang, Jie Fu, Guy Wolf
2025	J	`jnl`	Less is More: Denoising Knowledge Graphs For Retrieval Augmented Generation. CoRR Yilun Zheng, Dan Yang, Jie Li, Lin Shang, Lihui Chen, Jiahao Xu, Sitao Luan
2025	A*	`conf`	Let Your Features Tell The Differences: Understanding Graph Convolution By Feature Splitting. ICLR Yilun Zheng, Xiang Li, Sitao Luan, Xiaojiang Peng, Lihui Chen
2025	J	`jnl`	RL Fine-Tuning Heals OOD Forgetting in SFT. CoRR Hangzhan Jin, Sitao Luan, Sicheng Lyu, Guillaume Rabusseau, Reihaneh Rabbany, Doina Precup, Mohammad Hamdaqa
2024	J	`jnl`	Are Heterophily-Specific GNNs and Homophily Metrics Really Effective? Evaluation Pitfalls and New Benchmarks. CoRR Sitao Luan, Qincheng Lu, Chenqing Hua, Xinyu Wang, Jiaqi Zhu, Xiao-Wen Chang, Guy Wolf, Jian Tang
2024	J	`jnl`	EnzymeFlow: Generating Reaction-specific Enzyme Catalytic Pockets through Flow Matching and Co-Evolutionary Dynamics. CoRR Chenqing Hua, Yong Liu, Dinghuai Zhang, Odin Zhang, Sitao Luan, Kevin K. Yang, Guy Wolf, Doina Precup, Shuangjia Zheng
2024	—	`conf`	Flexible Diffusion Scopes With Parameterized Laplacian for Heterophilic Graph Learning. LoG Qincheng Lu, Jiaqi Zhu, Sitao Luan, Xiao-Wen Chang
2024	J	`jnl`	Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning. CoRR Qincheng Lu, Jiaqi Zhu, Sitao Luan, Xiao-Wen Chang
2024	B	`conf`	GCEPNet: Graph Convolution-Enhanced Expectation Propagation for Massive MIMO Detection. GLOBECOM Qincheng Lu, Sitao Luan, Xiao-Wen Chang
2024	J	`jnl`	GCEPNet: Graph Convolution-Enhanced Expectation Propagation for Massive MIMO Detection. CoRR Qincheng Lu, Sitao Luan, Xiao-Wen Chang
2024	J	`jnl`	Is Graph Convolution Always Beneficial For Every Feature? CoRR Yilun Zheng, Xiang Li, Sitao Luan, Xiaojiang Peng, Lihui Chen
2024	A*	`conf`	ReactZyme: A Benchmark for Enzyme-Reaction Prediction. NeurIPS Chenqing Hua, Bozitao Zhong, Sitao Luan, Liang Hong, Guy Wolf, Doina Precup, Shuangjia Zheng
2024	J	`jnl`	Reactzyme: A Benchmark for Enzyme-Reaction Prediction. CoRR Chenqing Hua, Bozitao Zhong, Sitao Luan, Liang Hong, Guy Wolf, Doina Precup, Shuangjia Zheng
2024	J	`jnl`	Representation Learning on Heterophilic Graph with Directional Neighborhood Attention. CoRR Qincheng Lu, Jiaqi Zhu, Sitao Luan, Xiao-Wen Chang
2024	J	`jnl`	Rethinking Structure Learning For Graph Neural Networks. CoRR Yilun Zheng, Zhuofan Zhang, Ziming Wang, Xiang Li, Sitao Luan, Xiaojiang Peng, Lihui Chen
2024	J	`jnl`	The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges. CoRR Sitao Luan, Chenqing Hua, Qincheng Lu, Liheng Ma, Lirong Wu, Xinyu Wang, Minkai Xu, Xiao-Wen Chang, Doina Precup, Rex Ying, Stan Z. Li, Jian Tang, Guy Wolf, Stefanie Jegelka
2024	A*	`conf`	What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks. NeurIPS Yilun Zheng, Sitao Luan, Lihui Chen
2024	J	`jnl`	What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks. CoRR Yilun Zheng, Sitao Luan, Lihui Chen
2023	—	`conf`	MUDiff: Unified Diffusion for Complete Molecule Generation. LoG Chenqing Hua, Sitao Luan, Minkai Xu, Zhitao Ying, Jie Fu, Stefano Ermon, Doina Precup
2023	J	`jnl`	MUDiff: Unified Diffusion for Complete Molecule Generation. CoRR Chenqing Hua, Sitao Luan, Minkai Xu, Rex Ying, Jie Fu, Stefano Ermon, Doina Precup
2023	J	`jnl`	On Addressing the Limitations of Graph Neural Networks. CoRR Sitao Luan
2023	—	`conf`	Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks. COMPLEX NETWORKS (1) Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup
2023	J	`jnl`	When Do Graph Neural Networks Help with Node Classification: Investigating the Homophily Principle on Node Distinguishability. CoRR Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup
2023	A*	`conf`	When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability. NeurIPS Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup
2023	—	`conf`	When Do We Need Graph Neural Networks for Node Classification? COMPLEX NETWORKS (1) Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Doina Precup
2022	J	`jnl`	Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks. CoRR Sitao Luan, Mingde Zhao, Chenqing Hua, Xiao-Wen Chang, Doina Precup
2022	A*	`conf`	Revisiting Heterophily For Graph Neural Networks. NeurIPS Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup
2022	J	`jnl`	Revisiting Heterophily For Graph Neural Networks. CoRR Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup
2022	J	`jnl`	When Do We Need GNN for Node Classification? CoRR Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Doina Precup
2021	A*	`conf`	A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning. NeurIPS Mingde Zhao, Zhen Liu, Sitao Luan, Shuyuan Zhang, Doina Precup, Yoshua Bengio
2021	J	`jnl`	A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning. CoRR Mingde Zhao, Zhen Liu, Sitao Luan, Shuyuan Zhang, Doina Precup, Yoshua Bengio
2021	J	`jnl`	Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? CoRR Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup
2020	J	`jnl`	Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks. CoRR Sitao Luan, Mingde Zhao, Chenqing Hua, Xiao-Wen Chang, Doina Precup
2020	A	`conf`	META-Learning State-based Eligibility Traces for More Sample-Efficient Policy Evaluation. AAMAS Mingde Zhao, Sitao Luan, Ian Porada, Xiao-Wen Chang, Doina Precup
2020	J	`jnl`	Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks. CoRR Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup
2019	A*	`conf`	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks. NeurIPS Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup
2019	J	`jnl`	Revisit Policy Optimization in Matrix Form. CoRR Sitao Luan, Xiao-Wen Chang, Doina Precup