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Zihe Liu
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2020 – today
- 2024
- [j4]Zihe Liu
, Jie Lu
Deep Reinforcement Learning in Nonstationary Environments With Unknown Change Points. IEEE Trans. Cybern. 54(9): 5191-5204 (2024) - [c12]Jian Liu, Zihe Liu, Xueqiang Lyu, Peng Jin, Jinan Xu:
Towards Multi-Relational Multi-Hop Reasoning over Dense Temporal Knowledge Graphs. ACL (Findings) 2024: 14367-14378 - [c11]Zihe Liu, Jie Lu, Guangquan Zhang, Junyu Xuan:
A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points. IJCAI 2024: 4634-4642 - [i7]Zihe Liu, Jie Lu, Guangquan Zhang, Junyu Xuan:
A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points. CoRR abs/2405.14214 (2024) - [i6]Moosa Saghir, N. R. Raghavendra, Zihe Liu, Evan Ryan Gunter:
NGD converges to less degenerate solutions than SGD. CoRR abs/2409.04913 (2024) - [i5]Chen Liang, Zhifan Feng, Zihe Liu, Wenbin Jiang, Jinan Xu, Yufeng Chen, Yong Wang:
Textualized Agent-Style Reasoning for Complex Tasks by Multiple Round LLM Generation. CoRR abs/2409.12411 (2024) - [i4]Diptarka Saha, Zihe Liu, Feng Liang:
Efficient Model Compression for Bayesian Neural Networks. CoRR abs/2411.00273 (2024) - 2023
- [j3]Haoning Kan, Jiale Yu, Jiajin Huang, Zihe Liu, Heqian Wang, Haiyan Zhou:
Self-supervised group meiosis contrastive learning for EEG-based emotion recognition. Appl. Intell. 53(22): 27207-27225 (2023) - 2022
- [j2]Zihe Liu, Weiying Hou, Jiayi Zhang, Chenyu Cao, Bin Wu:
A Multimodal Approach for Multiple-Relation Extraction in Videos. Multim. Tools Appl. 81(4): 4909-4934 (2022) - [i3]Haoning Kan, Jiale Yu, Jiajin Huang, Zihe Liu, Haiyan Zhou:
Self-supervised Group Meiosis Contrastive Learning for EEG-Based Emotion Recognition. CoRR abs/2208.00877 (2022) - 2021
- [c10]Xuming Han, Qi Qin, Yuwei Wang, Yihang Zhang, Hanlin Li, Zihe Liu:
CS-Siam: Siamese-Type Network Tracking Method with Added Cluster Segmentation. ADMA 2021: 251-262 - [c9]Chenyu Cao, Chenghao Yan, Fangtao Li, Zihe Liu, Zheng Wang, Bin Wu:
Recognizing Characters and Relationships from Videos via Spatial-Temporal and Multimodal Cues. ICBK 2021: 174-181 - [c8]Jiayi Zhang, Zihe Liu, Peihang Liu, Bin Wu:
Dual-Waveform Emotion Recognition Model for Conversations. ICME 2021: 1-6 - [c7]Fangtao Li, Ting Bai, Chenyu Cao, Zihe Liu, Chenghao Yan, Bin Wu:
Relation-aware Hierarchical Attention Framework for Video Question Answering. ICMR 2021: 164-172 - [c6]Chenghao Yan, Zihe Liu, Fangtao Li, Chenyu Cao, Zheng Wang, Bin Wu:
Social Relation Analysis from Videos via Multi-entity Reasoning. ICMR 2021: 358-366 - [c5]Fangtao Li, Wenzhe Wang, Zihe Liu, Haoran Wang, Chenghao Yan, Bin Wu:
Frame Aggregation and Multi-modal Fusion Framework for Video-Based Person Recognition. MMM (1) 2021: 75-86 - [i2]Fangtao Li, Ting Bai, Chenyu Cao, Zihe Liu, Chenghao Yan, Bin Wu:
Relation-aware Hierarchical Attention Framework for Video Question Answering. CoRR abs/2105.06160 (2021) - 2020
- [c4]Wenzhe Wang, Bin Wu, Fangtao Li, Zihe Liu:
Multi-Cue and Temporal Attention for Person Recognition in Videos. PRCV (2) 2020: 369-380 - [i1]Fangtao Li, Wenzhe Wang, Zihe Liu, Haoran Wang, Chenghao Yan, Bin Wu:
Frame Aggregation and Multi-Modal Fusion Framework for Video-Based Person Recognition. CoRR abs/2010.09290 (2020)
2010 – 2019
- 2019
- [c3]Qin Liu, Zihe Liu, Hongming Zhu, Hongfei Fan, Bowen Du, Yu Qian:
Generating commit messages from diffs using pointer-generator network. MSR 2019: 299-309 - 2018
- [c2]Jack Solomon, Lorenzo Bellucci, Yunsheng Su, Zihe Liu, Mihaela Dimitrova:
VisuaLife: A Campaign Aiming to Visualise Air Pollution in the Form of T-shirts Displayed in an Exhibition. CHI Extended Abstracts 2018 - [c1]Zihe Liu, Yuhui Wang:
A Registration and Change Detection Algorithm Based on Pre-and Post-Strike Image. ISCID (2) 2018: 98-102 - 2017
- [j1]Yang Liu, Yu Peng, Bailing Wang, Sirui Yao, Zihe Liu:
Review on cyber-physical systems. IEEE CAA J. Autom. Sinica 4(1): 27-40 (2017)
Coauthor Index
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