Combining Label-wise Attention and Adversarial Training for Tag Prediction of Web Services. - Qunbo Wang; Wenjun Wu 001; Yongchi Zhao; Yuzhang Zhuang; Yanni Wang (ICWS, 2021)

DanceNet3D: Music Based Dance Generation with Parametric Motion Transformer. - Buyu Li; Yongchi Zhao; Lu Sheng (CoRR, 2021)

Graph active learning for GCN-based zero-shot classification. - Qunbo Wang; Wenjun Wu 001; Yongchi Zhao; Yuzhang Zhuang (Neurocomputing, 2021)

DanceFormer: Music Conditioned 3D Dance Generation with Parametric Motion Transformer. - Buyu Li; Yongchi Zhao; Zhelun Shi; Lu Sheng (AAAI, 2022)

Deep Bayesian Active Learning for Learning to Rank: A Case Study in Answer Selection. - Qunbo Wang; Wenjun Wu 001; Yuxing Qi; Yongchi Zhao (IEEE Trans. Knowl. Data Eng., 2022)

Deep Bayesian Active Learning for Learning to Rank: A Case Study in Answer Selection (Extended Abstract). - Qunbo Wang; Wenjun Wu 001; Yuxing Qi; Yongchi Zhao (ICDE, 2023)

Technological Implication of the Digital Twin Approach on the Intelligent Education System. - Minghong She; Min Xiao; Yongchi Zhao (Int. J. Humanoid Robotics, 2023)

Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLMs. - Longxu Dou; Qian Liu 012; Fan Zhou; Changyu Chen; Zili Wang; Ziqi Jin; Zichen Liu; Tongyao Zhu; Cunxiao Du; Penghui Yang 001; Haonan Wang; Jiaheng Liu; et al. (CoRR, 2025)

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)

A Survey on Latent Reasoning. - Ruijie Zhu 003; Tianhao Peng; Tianhao Cheng; Xingwei Qu; Jinfa Huang; Dawei Zhu; Hao Wang; Kaiwen Xue; Xuanliang Zhang; Yong Shan; Tianle Cai; Taylor Kergan; et al. (CoRR, 2025)

DESIGNER: Design-Logic-Guided Multidisciplinary Data Synthesis for LLM Reasoning. - Weize Liu; Yongchi Zhao; Yijia Luo; Mingyu Xu; Jiaheng Liu; Yanan Li; Xiguo Hu; Yuchi Xu; Wenbo Su; Bo Zheng 007 (CoRR, 2025)