Backchannel Prediction for Mandarin Human-Computer Interaction. - Xia Mao; Yiping Peng; Yu-Li Xue; Na Luo; Alberto Rovetta (IEICE Trans. Inf. Syst., 2015)

Learning Alignment for Multimodal Emotion Recognition from Speech. - Haiyang Xu 001; Hui Zhang; Kun Han; Yun Wang; Yiping Peng; Xiangang Li (INTERSPEECH, 2019)

DELTA: A DEep learning based Language Technology plAtform. - Kun Han; Junwen Chen; Hui Zhang; Haiyang Xu 001; Yiping Peng; Yun Wang; Ning Ding; Hui Deng; Yonghu Gao; Tingwei Guo; Yi Zhang; Yahao He; et al. (CoRR, 2019)

Prediction of Soil Nutrient Contents Using Visible and Near-Infrared Reflectance Spectroscopy. - Yiping Peng; Li Zhao; Yueming Hu 001; Guangxing Wang; Lu Wang; Zhenhua Liu 004 (ISPRS Int. J. Geo Inf., 2019)

Multi-Scale Validation of MODIS LAI Products Based on Crop Growth Period. - Ting Wang; Yonghua Qu; Ziqing Xia; Yiping Peng; Zhenhua Liu 004 (ISPRS Int. J. Geo Inf., 2019)

Estimation of Soil Heavy Metal Content Using Hyperspectral Data. - Zhenhua Liu 004; Ying Lu; Yiping Peng; Li Zhao; Guangxing Wang; Yueming Hu 001 (Remote. Sens., 2019)

The GA-BPNN-Based Evaluation of Cultivated Land Quality in the PSR Framework Using Gaofen-1 Satellite Data. - Shanshan Liu; Yiping Peng; Ziqing Xia; Yueming Hu 001; Guangxing Wang; A-Xing Zhu; Zhenhua Liu 004 (Sensors, 2019)

The Optimal Image Date Selection for Evaluating Cultivated Land Quality Based on Gaofen-1 Images. - Ziqing Xia; Yiping Peng; Shanshan Liu; Zhenhua Liu 004; Guangxing Wang; A-Xing Zhu; Yueming Hu 001 (Sensors, 2019)

Improving Estimation of Soil Moisture Content Using a Modified Soil Thermal Inertia Model. - Zhenhua Liu 004; Li Zhao; Yiping Peng; Guangxing Wang; Yueming Hu 001 (Remote. Sens., 2020)

Online 3-D Modeling of Complex Workpieces for the Robotic Spray Painting With Low-Cost RGB-D Cameras. - Junhui Ge; Jiexuan Li; Yiping Peng; Haibo Lu; Shengquan Li; Hui Zhang 023; Changyan Xiao; Yaonan Wang 001 (IEEE Trans. Instrum. Meas., 2021)

A New Method for Estimating Soil Fertility Using Extreme Gradient Boosting and a Backpropagation Neural Network. - Yiping Peng; Zhenhua Liu 004; Chenjie Lin; Yueming Hu 001; Li Zhao; Runyan Zou; Ya Wen; Xiaoyun Mao (Remote. Sens., 2022)

Evaluation of Reasonable Stocking Rate Based on the Relative Contribution of Climate Change and Grazing Activities to the Productivity of Alpine Grasslands in Qinghai Province. - Li Zhao; Zhenhua Liu 004; Yueming Hu 001; Wu Zhou; Yiping Peng; Tao Ma; Luo Liu; Shihua Li 002; Liya Wang; Xiaoyun Mao (Remote. Sens., 2022)

A corner-clustering method for detection of slab management numbers sprayed on steel slabs. - Yiping Peng; Junhui Ge; Hui Qin; Xiaojun Ge; Changyan Xiao (Vis. Comput., 2022)

Exploring ChatGPT's Ability to Rank Content: A Preliminary Study on Consistency with Human Preferences. - Yunjie Ji; Yan Gong; Yiping Peng; Chao Ni 008; Peiyan Sun; Dongyu Pan; Baochang Ma; Xiangang Li (CoRR, 2023)

Exploring the Impact of Instruction Data Scaling on Large Language Models: An Empirical Study on Real-World Use Cases. - Yunjie Ji; Yong Deng; Yan Gong; Yiping Peng; Qiang Niu; Lei Zhang; Baochang Ma; Xiangang Li (CoRR, 2023)

Towards Better Instruction Following Language Models for Chinese: Investigating the Impact of Training Data and Evaluation. - Yunjie Ji; Yan Gong; Yong Deng; Yiping Peng; Qiang Niu; Baochang Ma; Xiangang Li (CoRR, 2023)

Differential Study on Estimation Models for Indica Rice Leaf SPAD Value and Nitrogen Concentration Based on Hyperspectral Monitoring. - Yufen Zhang; Kaiming Liang; Feifei Zhu; Xuhua Zhong; Zhanhua Lu; Yibo Chen; Junfeng Pan; Chusheng Lu; Jichuan Huang; Qunhuan Ye; Yuanhong Yin; Yiping Peng; et al. (Remote. Sens., 2024)

1.4 Million Open-Source Distilled Reasoning Dataset to Empower Large Language Model Training. - Han Zhao; Haotian Wang; Yiping Peng; Sitong Zhao; Xiaoyu Tian; Shuaiting Chen; Yunjie Ji; Xiangang Li (CoRR, 2025)

Think Twice: Enhancing LLM Reasoning by Scaling Multi-round Test-time Thinking. - Xiaoyu Tian; Sitong Zhao; Haotian Wang; Shuaiting Chen; Yunjie Ji; Yiping Peng; Han Zhao; Xiangang Li (CoRR, 2025)

How Difficulty-Aware Staged Reinforcement Learning Enhances LLMs' Reasoning Capabilities: A Preliminary Experimental Study. - Yunjie Ji; Sitong Zhao; Xiaoyu Tian; Haotian Wang; Shuaiting Chen; Yiping Peng; Han Zhao; Xiangang Li (CoRR, 2025)

Leveraging Reasoning Model Answers to Enhance Non-Reasoning Model Capability. - Haotian Wang; Han Zhao; Shuaiting Chen; Xiaoyu Tian; Sitong Zhao; Yunjie Ji; Yiping Peng; Xiangang Li (CoRR, 2025)

DeepDistill: Enhancing LLM Reasoning Capabilities via Large-Scale Difficulty-Graded Data Training. - Xiaoyu Tian; Sitong Zhao; Haotian Wang; Shuaiting Chen; Yiping Peng; Yunjie Ji; Han Zhao; Xiangang Li (CoRR, 2025)

Exploring the Potential of Offline RL for Reasoning in LLMs: A Preliminary Study. - Xiaoyu Tian; Sitong Zhao; Haotian Wang; Shuaiting Chen; Yiping Peng; Yunjie Ji; Han Zhao; Xiangang Li (CoRR, 2025)

AM-Thinking-v1: Advancing the Frontier of Reasoning at 32B Scale. - Yunjie Ji; Xiaoyu Tian; Sitong Zhao; Haotian Wang; Shuaiting Chen; Yiping Peng; Han Zhao; Xiangang Li (CoRR, 2025)

Not All Correct Answers Are Equal: Why Your Distillation Source Matters. - Xiaoyu Tian; Yunjie Ji; Haotian Wang; Shuaiting Chen; Sitong Zhao; Yiping Peng; Han Zhao; Xiangang Li (CoRR, 2025)