Multi-Agent Collaborative Exploration through Graph-based Deep Reinforcement Learning. - Tianze Luo; Budhitama Subagdja; Di Wang 004; Ah-Hwee Tan (ICA, 2019)

Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions. - Tianbo Li; Tianze Luo; Yiping Ke; Sinno Jialin Pan (KDD, 2021)

Re-ranking With Constraints on Diversified Exposures for Homepage Recommender System. - Qi Hao; Tianze Luo; Guangda Huzhang (CoRR, 2021)

Domain Confused Contrastive Learning for Unsupervised Domain Adaptation. - Quanyu Long; Tianze Luo; Wenya Wang 001; Sinno Jialin Pan (NAACL-HLT, 2022)

Domain-Augmented Domain Adaptation. - Qiuhao Zeng; Tianze Luo; Boyu Wang 004 (CoRR, 2022)

Radar Signal Intrapulse Modulation Recognition Based on a Denoising-Guided Disentangled Network. - Xiangli Zhang; Jiazhen Zhang; Tianze Luo; Tianye Huang; Zuping Tang; Ying Chen; Jinsheng Li; Dapeng Luo (Remote. Sens., 2022)

Real-Time Hierarchical Map Segmentation for Coordinating Multirobot Exploration. - Tianze Luo; Zichen Chen; Budhitama Subagdja; Ah-Hwee Tan (IEEE Access, 2023)

Panda LLM: Training Data and Evaluation for Open-Sourced Chinese Instruction-Following Large Language Models. - Fangkai Jiao; Bosheng Ding; Tianze Luo; Zhanfeng Mo (CoRR, 2023)

Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges. - Bosheng Ding; Chengwei Qin; Ruochen Zhao; Tianze Luo; Xinze Li; Guizhen Chen; Wenhan Xia; Junjie Hu 001; Anh Tuan Luu; Shafiq Joty (ACL (Findings), 2024)

Progressive Multimodal Pivot Learning: Towards Semantic Discordance Understanding as Humans. - Junlin Fang; Wenya Wang 001; Tianze Luo; Yanyong Huang; Fengmao Lv (CIKM, 2024)

Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network. - Tianze Luo; Zhanfeng Mo; Sinno Jialin Pan (ICLR, 2024)

Graph Principal Flow Network for Conditional Graph Generation. - Zhanfeng Mo; Tianze Luo; Sinno Jialin Pan (WWW, 2024)

From Seconds to Hours: Reviewing MultiModal Large Language Models on Comprehensive Long Video Understanding. - Heqing Zou; Tianze Luo; Guiyang Xie; Victor Zhang; Fengmao Lv; Guangcong Wang; Juanyang Chen; Zhuochen Wang; Hansheng Zhang; Huaijian Zhang (CoRR, 2024)

Fast Graph Generation via Spectral Diffusion. - Tianze Luo; Zhanfeng Mo; Sinno Jialin Pan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

STARNet: An Efficient Spatiotemporal Feature Sharing Reconstructing Network for Automatic Modulation Classification. - Xiangli Zhang; Zishuo Wang; Xuesong Wang; Tianze Luo; Yong Xiao 001; Bin Fang; Fei Xiao; Dapeng Luo (IEEE Trans. Wirel. Commun., 2024)

Collaborative Sequential Recommendations via Multi-view GNN-transformers. - Tianze Luo; Yong Liu 020; Sinno Jialin Pan (ACM Trans. Inf. Syst., 2024)

WaveFM: A High-Fidelity and Efficient Vocoder Based on Flow Matching. - Tianze Luo; Xingchen Miao; Wenbo Duan (NAACL (Long Papers), 2025)

MSTI-Plus: Introducing Non-Sarcasm Reference Materials to Enhance Multimodal Sarcasm Target Identification. - Fengmao Lv; Mengting Xiong; Junlin Fang; Lingli Zhang; Tianze Luo; Weichao Liang; Tianrui Li 001 (WWW, 2025)

HLV-1K: A Large-scale Hour-Long Video Benchmark for Time-Specific Long Video Understanding. - Heqing Zou; Tianze Luo; Guiyang Xie; Victor Zhang; Fengmao Lv; Guangcong Wang; Junyang Chen; Zhuochen Wang; Hansheng Zhang; Huaijian Zhang (CoRR, 2025)

Datasets and Recipes for Video Temporal Grounding via Reinforcement Learning. - Ruizhe Chen; Zhiting Fan; Tianze Luo; Heqing Zou; Zhaopeng Feng; Guiyang Xie; Hansheng Zhang; Zhuochen Wang; Zuozhu Liu; Huaijian Zhang (CoRR, 2025)