Han Yang - RankMe

19 papers A* 6A 1B 1Journal 11

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Solving the non-submodular network collapse problems via Decision Transformer. Neural Networks Kaili Ma, Han Yang, Shanchao Yang, Kangfei Zhao, Lanqing Li, Yongqiang Chen, Junzhou Huang, James Cheng, Yu Rong
2023	J	`jnl`	Calibrating and Improving Graph Contrastive Learning. Trans. Mach. Learn. Res. Kaili Ma, Garry Yang, Han Yang, Yongqiang Chen, James Cheng
2023	A*	`conf`	Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization. ICLR Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Bingzhe Wu, Yonggang Zhang, Kaili Ma, Han Yang, Peilin Zhao, Bo Han, James Cheng
2023	J	`jnl`	SPT: Fine-Tuning Transformer-based Language Models Efficiently with Sparsification. CoRR Yuntao Gui, Xiao Yan, Peiqi Yin, Han Yang, James Cheng
2022	A*	`conf`	Exact Shape Correspondence via 2D graph convolution. NeurIPS Barakeel Fanseu Kamhoua, Lin Zhang, Yongqiang Chen, Han Yang, Kaili Ma, Bo Han, Bo Li, James Cheng
2022	A	`conf`	HGL: Accelerating Heterogeneous GNN Training with Holistic Representation and Optimization. SC Yuntao Gui, Yidi Wu, Han Yang, Tatiana Jin, Boyang Li, Qihui Zhou, James Cheng, Fan Yu
2022	J	`jnl`	Invariance Principle Meets Out-of-Distribution Generalization on Graphs. CoRR Yongqiang Chen, Yonggang Zhang, Han Yang, Kaili Ma, Binghui Xie, Tongliang Liu, Bo Han, James Cheng
2022	A*	`conf`	Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs. NeurIPS Yongqiang Chen, Yonggang Zhang, Yatao Bian, Han Yang, Kaili Ma, Binghui Xie, Tongliang Liu, Bo Han, James Cheng
2022	J	`jnl`	Pareto Invariant Risk Minimization. CoRR Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Kaili Ma, Yonggang Zhang, Han Yang, Bo Han, James Cheng
2022	A*	`conf`	Understanding and Improving Graph Injection Attack by Promoting Unnoticeability. ICLR Yongqiang Chen, Han Yang, Yonggang Zhang, Kaili Ma, Tongliang Liu, Bo Han, James Cheng
2022	J	`jnl`	Understanding and Improving Graph Injection Attack by Promoting Unnoticeability. CoRR Yongqiang Chen, Han Yang, Yonggang Zhang, Kaili Ma, Tongliang Liu, Bo Han, James Cheng
2021	J	`jnl`	Improving Graph Representation Learning by Contrastive Regularization. CoRR Kaili Ma, Haochen Yang, Han Yang, Tatiana Jin, Pengfei Chen, Yongqiang Chen, Barakeel Fanseu Kamhoua, James Cheng
2021	A*	`conf`	Rethinking Graph Regularization for Graph Neural Networks. AAAI Han Yang, Kaili Ma, James Cheng
2021	B	`conf`	Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs. IJCNN Han Yang, Xiao Yan, Xinyan Dai, Yongqiang Chen, James Cheng
2020	A*	`conf`	Convolutional Embedding for Edit Distance. SIGIR Xinyan Dai, Xiao Yan, Kaiwen Zhou, Yuxuan Wang, Han Yang, James Cheng
2020	J	`jnl`	Edit Distance Embedding using Convolutional Neural Networks. CoRR Xinyan Dai, Xiao Yan, Kaiwen Zhou, Yuxuan Wang, Han Yang, James Cheng
2020	J	`jnl`	Rethinking Graph Regularization For Graph Neural Networks. CoRR Han Yang, Kaili Ma, James Cheng
2020	J	`jnl`	Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs. CoRR Han Yang, Xiao Yan, Xinyan Dai, James Cheng
2019	J	`jnl`	Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning. CoRR Xinyan Dai, Xiao Yan, Kaiwen Zhou, Han Yang, Kelvin Kai Wing Ng, James Cheng, Yu Fan