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Hanpeng Liu
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2020 – today
- 2026
[j5]Hanpeng Liu, Shuoxi Zhang, Kaiyuan Gao, Kun He
:
Boosting the patch-based self-supervised learning through past-to-present smoothing. Pattern Recognit. 173: 112871 (2026)
[i13]Hanpeng Liu, Yaqian Li, Zidan Wang, Shuoxi Zhang, Zihao Bo, Rinyoichi Takezoe, Kaiwen Long, Kun He:
iGVLM: Dynamic Instruction-Guided Vision Encoding for Question-Aware Multimodal Understanding. CoRR abs/2603.02748 (2026)
[i12]Hanpeng Liu, Yaqian Li, Zidan Wang, Shuoxi Zhang, Zonglin Zhao, Zihao Bo, Rinyoichi Takezoe, Kaiwen Long, Kun He:
ITO: Images and Texts as One via Synergizing Multiple Alignment and Training-Time Fusion. CoRR abs/2603.02767 (2026)
[i11]Hanpeng Liu, Zidan Wang, Shuoxi Zhang, Kaiyuan Gao, Kun He:
Separators in Enhancing Autoregressive Pretraining for Vision Mamba. CoRR abs/2603.03806 (2026)
[i10]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:
Composer 2 Technical Report. CoRR abs/2603.24477 (2026)
[i9]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:
X-Foresight: A Joint Vision-Action Causal Forecasting Network via Predictive World Modeling. CoRR abs/2605.24892 (2026)
[i8]Bohao Zhao, Chengrui Wei, Guangfeng Jiang, Ruixin Liu, Xuejie Lv, Liu Liang, Sutao Deng, Xiuyang Fan, Pengkun Zheng, Jinyun Zhou, Rui Guo, Hanpeng Liu, Yutong Zheng, Yi Guo, Xinlong Zheng, Qingyu Luo, Zhuangzhuang Ding, Yu Zhang, Hang Zhang, Xianming Liu:
X-Mind: Efficient Visual Chain-of-Thought via Predictive World Model for End-to-End Driving. CoRR abs/2606.28758 (2026)- 2025
[j4]Hanpeng Liu
, Shuoxi Zhang, Kun He
:
Residual Learning for Self-Knowledge Distillation: Enhancing Neural Networks Through Consistency Across Layers. IEEE Trans. Big Data 11(5): 2615-2627 (2025)
[j3]Shuoxi Zhang, Hanpeng Liu, Yuyi Wang
, Kun He
, Jun Lin
, Yang Zeng
:
Class Discriminative Knowledge Distillation. IEEE Trans. Emerg. Top. Comput. Intell. 9(2): 1340-1351 (2025)
[c8]Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He:
Hyperspherical Dataset Distillation via Contrastive Embedding Alignment. ICME 2025: 1-6- 2024
[j2]Shuoxi Zhang, Hanpeng Liu, Kun He:
Knowledge Distillation via Token-Level Relationship Graph Based on the Big Data Technologies. Big Data Res. 36: 100438 (2024)
[c7]Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He:
You Only Need Less Attention at Each Stage in Vision Transformers. CVPR 2024: 6057-6066
[c6]Shuoxi Zhang, Hanpeng Liu, Yuyi Wang, Kun He
:
Grouped Logit Distillation Enhanced with Superclass Awareness for Efficient Knowledge Transfer. ECAI 2024: 2564-2571
[c5]Jinsong Chen, Hanpeng Liu, John E. Hopcroft, Kun He:
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers. NeurIPS 2024
[i7]Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He:
You Only Need Less Attention at Each Stage in Vision Transformers. CoRR abs/2406.00427 (2024)
[i6]Jinsong Chen, Hanpeng Liu, John E. Hopcroft, Kun He:
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers. CoRR abs/2406.19258 (2024)- 2023
[i5]Shuoxi Zhang, Hanpeng Liu, Kun He:
Knowledge Distillation via Token-level Relationship Graph. CoRR abs/2306.12442 (2023)- 2022
[i4]Shuoxi Zhang, Hanpeng Liu, John E. Hopcroft, Kun He:
Class-aware Information for Logit-based Knowledge Distillation. CoRR abs/2211.14773 (2022)- 2020
[c4]Weiran Shen, Binghui Peng, Hanpeng Liu, Michael Zhang, Ruohan Qian, Yan Hong, Zhi Guo, Zongyao Ding, Pengjun Lu, Pingzhong Tang:
Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search Auctions. AAAI 2020: 2236-2243
[c3]Michael Tsang, Dehua Cheng, Hanpeng Liu, Xue Feng, Eric Zhou, Yan Liu:
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection. ICLR 2020
[i3]Michael Tsang, Dehua Cheng, Hanpeng Liu, Xue Feng, Eric Zhou, Yan Liu:
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection. CoRR abs/2006.10966 (2020)
2010 – 2019
- 2019
[c2]Hanpeng Liu, Yaguang Li, Michael Tsang, Yan Liu:
CoSTCo: A Neural Tensor Completion Model for Sparse Tensors. KDD 2019: 324-334- 2018
[j1]Shangxing Wang
, Hanpeng Liu, Pedro Henrique Gomes
, Bhaskar Krishnamachari
:
Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks. IEEE Trans. Cogn. Commun. Netw. 4(2): 257-265 (2018)
[c1]Michael Tsang, Hanpeng Liu, Sanjay Purushotham, Pavankumar Murali, Yan Liu:
Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability. NeurIPS 2018: 5809-5818
[i2]Shangxing Wang, Hanpeng Liu, Pedro Henrique Gomes, Bhaskar Krishnamachari:
Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks. CoRR abs/1802.06958 (2018)- 2017
[i1]Weiran Shen, Binghui Peng, Hanpeng Liu, Michael Zhang, Ruohan Qian, Yan Hong, Zhi Guo, Zongyao Ding, Pengjun Lu, Pingzhong Tang:
Reinforcement Mechanism Design, with Applications to Dynamic Pricing in Sponsored Search Auctions. CoRR abs/1711.10279 (2017)
Coauthor Index

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last updated on 2026-07-11 00:49 CEST by the dblp team
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