Joint subcarrier and power allocation for OFDMA based mobile edge computing system. - Mengyuan Li; Shuo Yang; Zhenduo Zhang; Jinke Ren; Guanding Yu (PIMRC, 2017)

Job Insecurity and Daily Emotional Exhaustion: An Experience Sampling Method Approach. - Zhenduo Zhang; Junwei Zheng; Zhigang Li; Li Zhang (ICMSS, 2020)

Multi-Frame Star Image Denoising Algorithm Based on Deep Reinforcement Learning and Mixed Poisson-Gaussian Likelihood. - Ming Xie; Zhenduo Zhang; Wenbo Zheng; Ying Li; Kai Cao (Sensors, 2020)

Triplet Angular Loss for Pose-Robust Face Recognition. - Zhenduo Zhang; Yongru Chen; Wenming Yang; Guijin Wang; Qingmin Liao (IJCNN, 2021)

How Does the Use of Mobile Social Platforms Impact Impulsive Buying? A Case of Wechat. - Mingshu Lyu; Zhenduo Zhang; Baiqing Sun (IMMS, 2021)

"I didn't want to do, but I am happy to now!" Affect, voice and in-role performance. - Zhenduo Zhang; Huan Xiao; Xueqin Gou; Miaomiao Li; Junwei Zheng (Kybernetes, 2021)

Identifying Oil Spill Types Based on Remotely Sensed Reflectance Spectra and Multiple Machine Learning Algorithms. - Ying Li 043; Qinglai Yu; Ming Xie; Zhenduo Zhang; Zhanjun Ma; Kai Cao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Pose-Invariant Face Recognition via Adaptive Angular Distillation. - Zhenduo Zhang; Yongru Chen; Wenming Yang; Guijin Wang; Qingmin Liao (AAAI, 2022)

Cross-Category Highlight Detection via Feature Decomposition and Modality Alignment. - Zhenduo Zhang (AAAI, 2023)

Improved Face Representation via Joint Label Classification and Supervised Contrastive Clustering. - Zhenduo Zhang (CoRR, 2023)

CoIE: Chain-of-Instruct Editing for Multi-Attribute Face Manipulation. - Zhenduo Zhang; Bo-Wen Zhang 011; Guang Liu 006 (CoRR, 2023)

Linking online voice to workplace cyberbullying: roles of job strain and moral efficacy. - Mingshu Lyu; Baiqing Sun; Zhenduo Zhang (Kybernetes, 2023)

Using a Convolutional Neural Network and Mid-Infrared Spectral Images to Predict the Carbon Dioxide Content of Ship Exhaust. - Zhenduo Zhang; Huijie Wang; Kai Cao; Ying Li (Remote. Sens., 2023)

A New Method for Processing scRNA-seq Data by Coupling Low-Rank Representation and Concept Factorization. - Zhenduo Zhang; Jinxing Liu; Shengjun Li; Juan Wang (BIBM, 2024)

Event Traffic Forecasting with Sparse Multimodal Data. - Xiao Han; Zhenduo Zhang; Yiling Wu; Xinfeng Zhang 001; Zhe Wu 006 (ACM Multimedia, 2024)

KAN4TSF: Are KAN and KAN-based models Effective for Time Series Forecasting? - Xiao Han; Xinfeng Zhang; Yiling Wu; Zhenduo Zhang; Zhe Wu (CoRR, 2024)

Atmospheric Light Estimation Using Polarization Degree Gradient for Image Dehazing. - Shuai Liu; Hang Li; Jinyu Zhao; Junchi Liu; Youqiang Zhu; Zhenduo Zhang (Sensors, 2024)

Knowledge-Based Multiple Relations Modeling for Traffic Forecasting. - Xiao Han; Xinfeng Zhang 001; Yiling Wu; Zhenduo Zhang; Tianyu Zhang; Yaowei Wang 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Towards Large Language Model Guided Kernel Direct Fuzzing. - Xie Li; Zhaoyue Yuan; Zhenduo Zhang; Youcheng Sun; Lijun Zhang 001 (FASE, 2025)

Low-Rank Multiple Kernel Model Based on Local Structures Learning and Adaptive Similarity Preserving for scRNA-seq Data Clustering. - Juan Wang 003; Tian-Jing Qiao; Zhenduo Zhang; Chun-Hou Zheng 001; Shasha Yuan (ICIC (25), 2025)

CDFNet: Collaborative Decomposition and Forecasting Network for Time Series. - Zhenduo Zhang; Xiao Han; Yiling Wu; Xinfeng Zhang 001; Qingming Huang (ICIC (7), 2025)

Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM. - Codefuse; Wenting Cai; Yuchen Cao; Chaoyu Chen; Chen Chen; Siba Chen; Qing Cui; Peng Di; Junpeng Fang; Zi Gong; Ting Guo; Zhengyu He; et al. (CoRR, 2025)

SHARP: Synthesizing High-quality Aligned Reasoning Problems for Large Reasoning Models Reinforcement Learning. - Xiong Jun Wu; Zhenduo Zhang; Zujie Wen; Zhiqiang Zhang 012; Wang Ren; Lei Shi; Cai Chen; Deng Zhao; Qing Wang; Xudong Han; Chengfu Tang; Dingnan Jin; et al. (CoRR, 2025)

Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning. - Xiaoxue Cheng; Junyi Li; Zhenduo Zhang; Xinyu Tang 004; Wayne Xin Zhao; Xinyu Kong; Zhiqiang Zhang 012 (CoRR, 2025)

Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs. - Ling Team; Bin Hu; Cai Chen; Deng Zhao; Ding Liu; Dingnan Jin; Feng Zhu; Hao Dai; Hongzhi Luan; Jia Guo; Jiaming Liu; Jiewei Wu; et al. (CoRR, 2025)