Hanpeng Liu

According to our database, Hanpeng Liu authored at least 20 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

X-Foresight: A Joint Vision-Action Causal Forecasting Network via Predictive World Modeling.

Baolu Li, Jingyu Qian, Rui Guo, Yilun Chen, Hanpeng Liu, Yuan Lin, Junhong Zhou, Ruixin Liu, Willow Yang, Yutong Zheng, Zhenli Zhang, Tenglong Gu, Zhuangzhuang Ding, Pengkun Zheng, Yu Zhang, Xianming Liu

CoRR, May, 2026

Composer 2 Technical Report.

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

CoRR, March, 2026

Separators in Enhancing Autoregressive Pretraining for Vision Mamba.

Hanpeng Liu, Zidan Wang, Shuoxi Zhang, Kaiyuan Gao, Kun He

CoRR, March, 2026

ITO: Images and Texts as One via Synergizing Multiple Alignment and Training-Time Fusion.

Hanpeng Liu, Yaqian Li, Zidan Wang, Shuoxi Zhang, Zonglin Zhao, Zihao Bo, Rinyoichi Takezoe, Kaiwen Long, Kun He

CoRR, March, 2026

iGVLM: Dynamic Instruction-Guided Vision Encoding for Question-Aware Multimodal Understanding.

Hanpeng Liu, Yaqian Li, Zidan Wang, Shuoxi Zhang, Zihao Bo, Rinyoichi Takezoe, Kaiwen Long, Kun He

CoRR, March, 2026

Boosting the patch-based self-supervised learning through past-to-present smoothing.

Hanpeng Liu, Shuoxi Zhang, Kaiyuan Gao, Kun He

Pattern Recognit., 2026

2025

Residual Learning for Self-Knowledge Distillation: Enhancing Neural Networks Through Consistency Across Layers.

Hanpeng Liu, Shuoxi Zhang, Kun He

IEEE Trans. Big Data, October, 2025

Class Discriminative Knowledge Distillation.

Shuoxi Zhang, Hanpeng Liu, Yuyi Wang, Kun He, Jun Lin, Yang Zeng

IEEE Trans. Emerg. Top. Comput. Intell., April, 2025

Hyperspherical Dataset Distillation via Contrastive Embedding Alignment.

Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

2024

Knowledge Distillation via Token-Level Relationship Graph Based on the Big Data Technologies.

Shuoxi Zhang, Hanpeng Liu, Kun He

Big Data Res., 2024

Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers.

Jinsong Chen, Hanpeng Liu, John E. Hopcroft, Kun He

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Grouped Logit Distillation Enhanced with Superclass Awareness for Efficient Knowledge Transfer.

Shuoxi Zhang, Hanpeng Liu, Yuyi Wang, Kun He

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

You Only Need Less Attention at Each Stage in Vision Transformers.

Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Knowledge Distillation via Token-level Relationship Graph.

Shuoxi Zhang, Hanpeng Liu, Kun He

CoRR, 2023

2022

Class-aware Information for Logit-based Knowledge Distillation.

Shuoxi Zhang, Hanpeng Liu, John E. Hopcroft, Kun He

CoRR, 2022

2020

Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection.

Michael Tsang, Dehua Cheng, Hanpeng Liu, Xue Feng, Eric Zhou, Yan Liu

Proceedings of the 8th International Conference on Learning Representations, 2020

Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search Auctions.

Weiran Shen, Binghui Peng, Hanpeng Liu, Michael Zhang, Ruohan Qian, Yan Hong, Zhi Guo, Zongyao Ding, Pengjun Lu, Pingzhong Tang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

CoSTCo: A Neural Tensor Completion Model for Sparse Tensors.

Hanpeng Liu, Yaguang Li, Michael Tsang, Yan Liu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks.

Shangxing Wang, Hanpeng Liu, Pedro Henrique Gomes, Bhaskar Krishnamachari

IEEE Trans. Cogn. Commun. Netw., 2018

Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability.

Michael Tsang, Hanpeng Liu, Sanjay Purushotham, Pavankumar Murali, Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018