Tianhao Peng

According to our database, Tianhao Peng authored at least 14 papers between 2023 and 2026.

Collaborative distances:

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

2026

Learning to Adapt SFT Data for Better Reasoning Generalization.

Lisong Sun, Li Wang, Chen Zhang, Jinyang Wu, Kui Zhang, Tianhao Peng, Wenjun Wu

CoRR, May, 2026

TAMTRL: Teacher-Aligned Reward Reshaping for Multi-Turn Reinforcement Learning in Long-Context Compression.

Li Wang, Yandong Wang, Xin Yu, Kui Zhang, Tianhao Peng, Wenjun Wu

CoRR, March, 2026

S$^{3}$PRank: Toward Satisfaction-Oriented Learning to Rank With Semi-Supervised Pre-Training.

Yuchen Li, Zhonghao Lyu, Yongqi Zhang, Hao Zhang, Tianhao Peng, Haoyi Xiong, Shuaiqiang Wang, Linghe Kong, Guihai Chen, Dawei Yin

IEEE Trans. Knowl. Data Eng., January, 2026

Probe-and-Fetch: Dynamic KV Cache Pruning for Accelerated Long-Context Inference in Web-Scale AI Search.

Yuchen Li, Rui Kong, Xinran Chen, Chengzhe Zhang, Jiamin Chen, Cheng Deng, Xinyu Ma, Haojie Zhang, Tianhao Peng, Hengyi Cai, Shuaiqiang Wang, Jiashu Zhao, Yongqi Zhang, Haoyi Xiong, Jimmy Xiangji Huang, Lei Chen, Jun Wang, Dawei Yin

Proceedings of the ACM Web Conference 2026, 2026

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

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

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

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 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