A framework for deep constrained clustering. - Hongjing Zhang; Tianyang Zhan; Sugato Basu; Ian Davidson (Data Min. Knowl. Discov., 2021)

A Self-Supervised Deep Learning Framework for Unsupervised Few-Shot Learning and Clustering. - Hongjing Zhang; Tianyang Zhan; Ian Davidson (Pattern Recognit. Lett., 2021)

Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation. - Zhuang Li 001; Lizhen Qu; Qiongkai Xu; Tongtong Wu; Tianyang Zhan; Gholamreza Haffari (EMNLP, 2022)

Sequence-to-Sequence Pre-training with Unified Modality Masking for Visual Document Understanding. - Shuwei Feng; Tianyang Zhan; Zhanming Jie; Trung Quoc Luong; Xiaoran Jin (CoRR, 2023)

SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines. - M.-A-P. Team; Xinrun Du; Yifan Yao; Kaijing Ma; Bingli Wang; Tianyu Zheng; Kang Zhu; Minghao Liu; Yiming Liang; Xiaolong Jin; Zhenlin Wei; Chujie Zheng; et al. (CoRR, 2025)

Seed-Prover: Deep and Broad Reasoning for Automated Theorem Proving. - Luoxin Chen; Jinming Gu; Liankai Huang; Wenhao Huang 001; Zhicheng Jiang; Allan Jie; Xiaoran Jin; Xing Jin; Chenggang Li; Kaijing Ma; Cheng Ren; Jiawei Shen; et al. (CoRR, 2025)

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models. - Xiangxiang Zhang; Jingxuan Wei; Donghong Zhong; Qi Chen; Caijun Jia; Cheng Tan 012; Jinming Gu; Xiaobo Qin; Zhiping Liu; Liang Hu; Tong Sun; Yuchen Wu; et al. (CoRR, 2025)