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2020 – today
- 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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