Hanpeng Liu - RankMe

24 papers A* 6A 2Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Boosting the patch-based self-supervised learning through past-to-present smoothing. Pattern Recognit. Hanpeng Liu, Shuoxi Zhang, Kaiyuan Gao, Kun He
2026	J	`jnl`	Composer 2 Technical Report. CoRR Aaron Chan, Ahmed Shalaby, Alexander Wettig, Aman Sanger, Andrew Zhai, Anurag Ajay, Ashvin Nair, Charlie Snell, Chen Lu, Chen Shen, Emily Jia, Federico Cassano, Hanpeng Liu, Haoyu Chen, Henry Wildermuth, Jacob Jackson, Janet Li, Jediah Katz, Jiajun Yao, Joey Hejna, Josh Warner, Julius Vering, Kevin Frans, Lee Danilek, Less Wright, Lujing Cen, Luke Melas-Kyriazi, Michael Truell, Michiel de Jong, Naman Jain, Nate Schmidt, Nathan Wang, Niklas Muennighoff, Oleg Rybkin, Paul Loh, Phillip Kravtsov, Rishabh Yadav, Sahil Shah, Sam Kottler, Alexander M. Rush, Shengtong Zhang, Shomil Jain, Sriram Sankar, Stefan Heule, Stuart H. Sul, Sualeh Asif, Victor Rong, Wanqi Zhu, William Lin, Yuchen Wu, Yuri Volkov, Yury Zemlyanskiy, Zack Holbrook, Zhiyuan Zhang
2026	J	`jnl`	ITO: Images and Texts as One via Synergizing Multiple Alignment and Training-Time Fusion. CoRR Hanpeng Liu, Yaqian Li, Zidan Wang, Shuoxi Zhang, Zonglin Zhao, Zihao Bo, Rinyoichi Takezoe, Kaiwen Long, Kun He
2026	J	`jnl`	Separators in Enhancing Autoregressive Pretraining for Vision Mamba. CoRR Hanpeng Liu, Zidan Wang, Shuoxi Zhang, Kaiyuan Gao, Kun He
2026	J	`jnl`	iGVLM: Dynamic Instruction-Guided Vision Encoding for Question-Aware Multimodal Understanding. CoRR Hanpeng Liu, Yaqian Li, Zidan Wang, Shuoxi Zhang, Zihao Bo, Rinyoichi Takezoe, Kaiwen Long, Kun He
2025	J	`jnl`	Class Discriminative Knowledge Distillation. IEEE Trans. Emerg. Top. Comput. Intell. Shuoxi Zhang, Hanpeng Liu, Yuyi Wang, Kun He, Jun Lin, Yang Zeng
2025	A	`conf`	Hyperspherical Dataset Distillation via Contrastive Embedding Alignment. ICME Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He
2025	J	`jnl`	Residual Learning for Self-Knowledge Distillation: Enhancing Neural Networks Through Consistency Across Layers. IEEE Trans. Big Data Hanpeng Liu, Shuoxi Zhang, Kun He
2024	A	`conf`	Grouped Logit Distillation Enhanced with Superclass Awareness for Efficient Knowledge Transfer. ECAI Shuoxi Zhang, Hanpeng Liu, Yuyi Wang, Kun He
2024	J	`jnl`	Knowledge Distillation via Token-Level Relationship Graph Based on the Big Data Technologies. Big Data Res. Shuoxi Zhang, Hanpeng Liu, Kun He
2024	A*	`conf`	Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers. NeurIPS Jinsong Chen, Hanpeng Liu, John E. Hopcroft, Kun He
2024	J	`jnl`	Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers. CoRR Jinsong Chen, Hanpeng Liu, John E. Hopcroft, Kun He
2024	A*	`conf`	You Only Need Less Attention at Each Stage in Vision Transformers. CVPR Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He
2024	J	`jnl`	You Only Need Less Attention at Each Stage in Vision Transformers. CoRR Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He
2023	J	`jnl`	Knowledge Distillation via Token-level Relationship Graph. CoRR Shuoxi Zhang, Hanpeng Liu, Kun He
2022	J	`jnl`	Class-aware Information for Logit-based Knowledge Distillation. CoRR Shuoxi Zhang, Hanpeng Liu, John E. Hopcroft, Kun He
2020	A*	`conf`	Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection. ICLR Michael Tsang, Dehua Cheng, Hanpeng Liu, Xue Feng, Eric Zhou, Yan Liu
2020	J	`jnl`	Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection. CoRR Michael Tsang, Dehua Cheng, Hanpeng Liu, Xue Feng, Eric Zhou, Yan Liu
2020	A*	`conf`	Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search Auctions. AAAI Weiran Shen, Binghui Peng, Hanpeng Liu, Michael Zhang, Ruohan Qian, Yan Hong, Zhi Guo, Zongyao Ding, Pengjun Lu, Pingzhong Tang
2019	A*	`conf`	CoSTCo: A Neural Tensor Completion Model for Sparse Tensors. KDD Hanpeng Liu, Yaguang Li, Michael Tsang, Yan Liu
2018	J	`jnl`	Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks. CoRR Shangxing Wang, Hanpeng Liu, Pedro Henrique Gomes, Bhaskar Krishnamachari
2018	J	`jnl`	Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks. IEEE Trans. Cogn. Commun. Netw. Shangxing Wang, Hanpeng Liu, Pedro Henrique Gomes, Bhaskar Krishnamachari
2018	A*	`conf`	Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability. NeurIPS Michael Tsang, Hanpeng Liu, Sanjay Purushotham, Pavankumar Murali, Yan Liu
2017	J	`jnl`	Reinforcement Mechanism Design, with Applications to Dynamic Pricing in Sponsored Search Auctions. CoRR Weiran Shen, Binghui Peng, Hanpeng Liu, Michael Zhang, Ruohan Qian, Yan Hong, Zhi Guo, Zongyao Ding, Pengjun Lu, Pingzhong Tang