Tianhao Peng

According to our database, Tianhao Peng authored at least 10 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Spatial-Temporal Transformer with Curriculum Learning for EEG-Based Emotion Recognition.

Xuetao Lin, Tianhao Peng, Peihong Dai, Yu Liang, Wenjun Wu

CoRR, July, 2025

TagRec: Temporal-Aware Graph Contrastive Learning With Theoretical Augmentation for Sequential Recommendation.

Tianhao Peng, Haitao Yuan, Yongqi Zhang, Yuchen Li, Peihong Dai, Qunbo Wang, Senzhang Wang, Wenjun Wu

IEEE Trans. Knowl. Data Eng., May, 2025

Milmer: a Framework for Multiple Instance Learning based Multimodal Emotion Recognition.

Zaitian Wang, Jian He, Yu Liang, Xiyuan Hu, Tianhao Peng, Kaixin Wang, Jiakai Wang, Chenlong Zhang, Weili Zhang, Shuang Niu, Xiaoyang Xie

CoRR, February, 2025

RankElectra: Semi-supervised Pre-training of Learning-to-Rank Electra for Web-scale Search.

Yuchen Li, Haoyi Xiong, Yongqi Zhang, Jiang Bian, Tianhao Peng, Xuhong Li, Shuaiqiang Wang, Linghe Kong, Dawei Yin

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning.

Tianhao Peng, Xuhong Li, Haitao Yuan, Yuchen Li, Haoyi Xiong

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

ELAKT: Enhancing Locality for Attentive Knowledge Tracing.

Yanjun Pu, Fang Liu, Rongye Shi, Haitao Yuan, Ruibo Chen, Tianhao Peng, Wenjun Wu

ACM Trans. Inf. Syst., July, 2024

Pre-trained Molecular Language Models with Random Functional Group Masking.

Tianhao Peng, Yuchen Li, Xuhong Li, Jiang Bian, Zeke Xie, Ning Sui, Shahid Mumtaz, Yanwu Xu, Linghe Kong, Haoyi Xiong

CoRR, 2024

GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy.

Tianhao Peng, Wenjun Wu, Haitao Yuan, Zhifeng Bao, Zhao Pengrui, Xin Yu, Xuetao Lin, Yu Liang, Yanjun Pu

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Soft Knowledge Prompt: Help External Knowledge Become a Better Teacher to Instruct LLM in Knowledge-based VQA.

Qunbo Wang, Ruyi Ji, Tianhao Peng, Wenjun Wu, Zechao Li, Jing Liu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

CLGT: A Graph Transformer for Student Performance Prediction in Collaborative Learning.

Tianhao Peng, Yu Liang, Wenjun Wu, Jian Ren, Zhao Pengrui, Yanjun Pu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023