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Journal Articles
- 2024
[j4]Tianze Luo
, Zhanfeng Mo, Sinno Jialin Pan:
Fast Graph Generation via Spectral Diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3496-3508 (2024)- [j3]Xiangli Zhang, Zishuo Wang, Xuesong Wang, Tianze Luo, Yong Xiao, Bin Fang, Fei Xiao, Dapeng Luo:
STARNet: An Efficient Spatiotemporal Feature Sharing Reconstructing Network for Automatic Modulation Classification. IEEE Trans. Wirel. Commun. 23(10): 13300-13312 (2024) - 2023
- [j2]Tianze Luo, Zichen Chen, Budhitama Subagdja, Ah-Hwee Tan:
Real-Time Hierarchical Map Segmentation for Coordinating Multirobot Exploration. IEEE Access 11: 15680-15692 (2023) - 2022
- [j1]Xiangli Zhang, Jiazhen Zhang, Tianze Luo, Tianye Huang, Zuping Tang, Ying Chen, Jinsheng Li, Dapeng Luo:
Radar Signal Intrapulse Modulation Recognition Based on a Denoising-Guided Disentangled Network. Remote. Sens. 14(5): 1252 (2022)
Conference and Workshop Papers
- 2024
- [c6]Bosheng Ding, Chengwei Qin, Ruochen Zhao, Tianze Luo, Xinze Li, Guizhen Chen, Wenhan Xia, Junjie Hu, Anh Tuan Luu, Shafiq Joty:
Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges. ACL (Findings) 2024: 1679-1705 - [c5]Tianze Luo, Zhanfeng Mo, Sinno Jialin Pan:
Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network. ICLR 2024 - [c4]Zhanfeng Mo, Tianze Luo, Sinno Jialin Pan:
Graph Principal Flow Network for Conditional Graph Generation. WWW 2024: 768-779 - 2022
- [c3]Quanyu Long, Tianze Luo, Wenya Wang, Sinno Jialin Pan:
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation. NAACL-HLT 2022: 2982-2995 - 2021
- [c2]Tianbo Li, Tianze Luo, Yiping Ke, Sinno Jialin Pan:
Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions. KDD 2021: 986-994 - 2019
- [c1]Tianze Luo, Budhitama Subagdja, Di Wang, Ah-Hwee Tan:
Multi-Agent Collaborative Exploration through Graph-based Deep Reinforcement Learning. ICA 2019: 2-7
Informal and Other Publications
- 2024
- [i8]Bosheng Ding, Chengwei Qin, Ruochen Zhao, Tianze Luo, Xinze Li, Guizhen Chen, Wenhan Xia, Junjie Hu, Anh Tuan Luu, Shafiq Joty:
Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges. CoRR abs/2403.02990 (2024) - [i7]Heqing Zou, Tianze Luo, Guiyang Xie, Victor Zhang, Fengmao Lv, Guangcong Wang, Juanyang Chen, Zhuochen Wang, Hansheng Zhang, Huaijian Zhang:
From Seconds to Hours: Reviewing MultiModal Large Language Models on Comprehensive Long Video Understanding. CoRR abs/2409.18938 (2024) - 2023
- [i6]Fangkai Jiao, Bosheng Ding, Tianze Luo, Zhanfeng Mo:
Panda LLM: Training Data and Evaluation for Open-Sourced Chinese Instruction-Following Large Language Models. CoRR abs/2305.03025 (2023) - 2022
- [i5]Qiuhao Zeng, Tianze Luo, Boyu Wang:
Domain-Augmented Domain Adaptation. CoRR abs/2202.10000 (2022) - [i4]Quanyu Long, Tianze Luo, Wenya Wang, Sinno Jialin Pan:
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation. CoRR abs/2207.04564 (2022) - [i3]Tianze Luo, Zhanfeng Mo, Sinno Jialin Pan:
Fast Graph Generation via Spectral Diffusion. CoRR abs/2211.08892 (2022) - 2021
- [i2]Tianbo Li, Tianze Luo, Yiping Ke, Sinno Jialin Pan:
Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions. CoRR abs/2107.03354 (2021) - [i1]Qi Hao, Tianze Luo, Guangda Huzhang:
Re-ranking With Constraints on Diversified Exposures for Homepage Recommender System. CoRR abs/2112.07621 (2021)
Coauthor Index
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