SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training. - Wenyong Huang; Zhenhe Zhang; Yu Ting Yeung; Xin Jiang 002; Qun Liu 001 (ICLR, 2022)

Power Tracking Control of Heterogeneous Populations of TCLs with Partially Measured States. - Zhenhe Zhang; Jun Zheng 004; Guchuan Zhu (CoRR, 2023)

PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs. - An Liu; Zonghan Yang; Zhenhe Zhang; Qingyuan Hu; Peng Li 030; Ming Yan 008; Ji Zhang 011; Fei Huang 002; Yang Liu 005 (ACL (Findings), 2024)

Position: Towards Unified Alignment Between Agents, Humans, and Environment. - Zonghan Yang; An Liu; Zijun Liu; Kaiming Liu; Fangzhou Xiong; Yile Wang 001; Zeyuan Yang 002; Qingyuan Hu; Xinrui Chen; Zhenhe Zhang; Fuwen Luo; Zhicheng Guo; et al. (ICML, 2024)

Power Tracking Control of Heterogeneous Populations of Thermostatically Controlled Loads With Partially Measured States. - Zhenhe Zhang; Jun Zheng 004; Guchuan Zhu (IEEE Access, 2024)

Towards Unified Alignment Between Agents, Humans, and Environment. - Zonghan Yang; An Liu; Zijun Liu; Kaiming Liu; Fangzhou Xiong; Yile Wang 001; Zeyuan Yang 002; Qingyuan Hu; Xinrui Chen; Zhenhe Zhang; Fuwen Luo; Zhicheng Guo; et al. (CoRR, 2024)

AIGS: Generating Science from AI-Powered Automated Falsification. - Zijun Liu; Kaiming Liu; Yiqi Zhu; Xuanyu Lei; Zonghan Yang; Zhenhe Zhang; Peng Li 030; Yang Liu 005 (CoRR, 2024)

Event-Triggered Power Tracking Control of Heterogeneous TCL Populations. - Zhenhe Zhang; Jun Zheng 004; Guchuan Zhu (IEEE Trans. Smart Grid, 2024)

Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs. - Yichun Yin; Wenyong Huang; Kaikai Song; Yehui Tang; Xueyu Wu; Wei Guo 006; Peng Guo; Yaoyuan Wang; Xiaojun Meng; Yasheng Wang; Dong Li 016; Can Chen; et al. (CoRR, 2025)