Large Language Models

• A Survey on Latent Reasoning. [Paper]
  Rui-Jie Zhu*, Tianhao Peng*, Tianhao Cheng*, Xingwei Qu*, Jinfa Huang, Dawei Zhu, Hao Wang, Kaiwen Xue, Xuanliang Zhang, Yong Shan, Tianle Cai, Taylor Kergan, Assel Kembay, Andrew Smith, Chenghua Lin, Binh Nguyen, Yuqi Pan, Yuhong Chou, Zefan Cai, Zhenhe Wu, Yongchi Zhao, Tianyu Liu, Jian Yang, Wangchunshu Zhou, Chujie Zheng, Chongxuan Li, Yuyin Zhou, Zhoujun Li, Zhaoxiang Zhang, Jiaheng Liu, Ge Zhang, Wenhao Huang, Jason Eshraghian
  ArXiv.
• Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving. [Paper]
  Xiangru Tang*, Tianrui Qin*, Tianhao Peng*, Ziyang Zhou, Daniel Shao, Tingting Du, Xinming Wei, Peng Xia, Fang Wu, He Zhu, Ge Zhang, Jiaheng Liu, Xingyao Wang, Sirui Hong, Chenglin Wu, Hao Cheng, Chi Wang, Wangchunshu Zhou
  ArXiv.
• OAgents: An Empirical Study of Building Effective Agents. [Paper]
  He Zhu, Tianrui Qin, King Zhu, Heyuan Huang, Yeyi Guan, Jinxiang Xia, Yi Yao, Hanhao Li, Ningning Wang, Pai Liu, Tianhao Peng, Xin Gui, Xiaowan Li, Yuhui Liu, Yuchen Eleanor Jiang, Jun Wang, Changwang Zhang, Xiangru Tang, Ge Zhang, Jian Yang, Minghao Liu, Xitong Gao, Jiaheng Liu, Wangchunshu Zhou
  ArXiv.
• Soft Knowledge Prompt: Help External Knowledge Become a Better Teacher to Instruct LLM in Knowledge-based VQA. [Paper]
  Qunbo Wang, Ruyi Ji, Tianhao Peng, Wenjun Wu, Zechao Li, Jing Liu
  ACL 2024 (long paper), CCF-A.

Graph Data Mining

• TagRec: Temporal-Aware Graph Contrastive Learning with Theoretical Augmentation for Sequential Recommendation. [Paper]
  Tianhao Peng, Haitao Yuan, Yongqi Zhang, Yuchen Li, Peihong Dai, Qunbo Wang, Senzhang Wang, Wenjun Wu
  TKDE (IEEE Transactions on Knowledge and Data Engineering) 2025, CCF-A.
• SOLA-GCL: Subgraph-oriented Learnable Augmentation Method for Graph Contrastive Learning. [Paper]
  Tianhao Peng, Xuhong Li, Haitao Yuan, Yuchen Li, Haoyi Xiong
  AAAI 2025, CCF-A.
• GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy. [Paper]
  Tianhao Peng, Wenjun Wu, Haitao Yuan, Zhifeng Bao, Zhao Pengrui, Xin Yu, Xuetao Lin, Yu Liang, Yanjun Pu
  ICDE 2024, CCF-A.
• CLGT: A Graph Transformer for Student Performance Prediction in Collaborative Learning. [Paper]
  Tianhao Peng, Yu Liang, Wenjun Wu, Jian Ren, Zhao Pengrui, Yanjun Pu
  AAAI 2023
• Pre-trained Molecular Language Models with Random Functional Group Masking. [Paper]
  Tianhao Peng, Yuchen Li, Xuhong Li, Jiang Bian, Zeke Xie, Ning Sui, Shahid Mumtaz, Yanwu Xu, Linghe Kong, Haoyi Xiong
  npj Artificial Intelligence 2025

Cross-Domain Applications

• ELAKT: Enhancing Locality for Attentive Knowledge Tracing. [Paper]
  Yanjun Pu, Fang Liu, Rongye Shi, Haitao Yuan, Ruibo Chen, Tianhao Peng, Wenjun Wu
  TOIS (ACM Transactions on Information System), CCF-A.
• RankElectra: Semi-supervised Pre-training of Learning-to-Rank Electra for Web-scale Search. [Paper]
  Yuchen Li, Haoyi Xiong, Yongqi Zhang, Jiang Bian, Tianhao Peng, Xuhong Li, Shuaiqiang Wang, Linghe Kong, Dawei Yin
  KDD 2025, CCF-A.
• FetchEEG: a hybrid approach combining feature extraction and temporal-channel joint attention for EEG-based emotion classification. [Paper]
  Yu Liang, Chenlong Zhang, Shan An, Zaitian Wang, Kaize Shi, Tianhao Peng, Yuqing Ma, Xiaoyang Xie, Jian He and Kun Zheng
  Journal of Neural Engineering