A Distributed Object-Oriented Method for Particle Simulations on Clusters. - Yudong Sun; Zhengyu Liang; Cho-Li Wang (HPCN Europe, 1999)

ClusterProbe: An Open, Flexible and Scalable Cluster Monitoring Tool. - Zhengyu Liang; Yundong Sun; Cho-Li Wang (IWCC, 1999)

Distributed particle simulation method on adaptive collaborative system. - Yudong Sun; Zhengyu Liang; Cho-Li Wang (Future Gener. Comput. Syst., 2001)

Multi-Domain Dialog State Tracking based on Machine Reading Comprehension. - Guanqun Wang; Zhengyu Liang; Zheng Zhang 038; Yongping Xiong (SPML, 2021)

Occlusion-Aware Cost Constructor for Light Field Depth Estimation. - Yingqian Wang 002; Longguang Wang; Zhengyu Liang; Jun-Gang Yang; Wei An; Yulan Guo (CVPR, 2022)

Learning a Degradation-Adaptive Network for Light Field Image Super-Resolution. - Yingqian Wang 002; Zhengyu Liang; Longguang Wang; Jun-Gang Yang; Wei An; Yulan Guo (CoRR, 2022)

On the Personalized Learning Space in Educational Metaverse Based on Heart Rate Signal. - Zeyan Zhao; Bo Zhao; Zhongtao Ji; Zhengyu Liang (Int. J. Inf. Commun. Technol. Educ., 2022)

Light Field Image Super-Resolution With Transformers. - Zhengyu Liang; Yingqian Wang 002; Longguang Wang; Jun-Gang Yang; Shilin Zhou 001 (IEEE Signal Process. Lett., 2022)

LFNAT 2023 Challenge on Light Field Depth Estimation: Methods and Results. - Hao Sheng 001; Yebin Liu; Jingyi Yu; Gaochang Wu; Wei Xiong; Ruixuan Cong; Rongshan Chen; Longzhao Guo; Yanlin Xie; Shuo Zhang 003; Song Chang; Youfang Lin; et al. (CVPR Workshops, 2023)

NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results. - Yingqian Wang 002; Longguang Wang; Zhengyu Liang; Jungang Yang 001; Radu Timofte; Yulan Guo; Kai Jin; Zeqiang Wei; Angulia Yang; Sha Guo; Mingzhi Gao; Xiuzhuang Zhou; et al. (CVPR Workshops, 2023)

Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution. - Zhengyu Liang; Yingqian Wang 002; Longguang Wang; Jungang Yang 001; Shilin Zhou 001; Yulan Guo (ICCV, 2023)

NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results. - Yingqian Wang 002; Longguang Wang; Zhengyu Liang; Jungang Yang 001; Radu Timofte; Yulan Guo (CoRR, 2023)

Not All Patches Are Equal: Hierarchical Dataset Condensation for Single Image Super-Resolution. - Qingtang Ding; Zhengyu Liang; Longguang Wang; Yingqian Wang 002; Jungang Yang 001 (IEEE Signal Process. Lett., 2023)

Fast acquisition method using modified PCA with a sparse factor for burst DS spread-spectrum transmission. - Chengyao Tang; Tailai Wen; Zhengyu Liang; Xinping Xu; Weihua Mou (ICT Express, 2023)

NTIRE 2024 Challenge on Light Field Image Super-Resolution: Methods and Results. - Yingqian Wang 002; Zhengyu Liang; Qianyu Chen; Longguang Wang; Jungang Yang 001; Radu Timofte; Yulan Guo; Wentao Chao; Yiming Kan; Xuechun Wang; Fuqing Duan; Guanghui Wang 001; et al. (CVPR Workshops, 2024)

Self-reconfiguration Strategy of Modular Robot Based on Topological Graph Comparison Algorithm. - Zhengyu Liang; Gang Chen; Junting Fei (ICRCA, 2024)

Optimization of Motion Distribution for Modular Robots Based on Grey Wolf Algorithm. - Longchang Yu; Gang Chen 029; Zhengyu Liang; Junting Fei (ROBIO, 2024)

NTIRE 2025 Challenge on Light Field Image Super-Resolution: Methods and Results. - Yingqian Wang 002; Zhengyu Liang; Fengyuan Zhang; Lvli Tian; Longguang Wang; Juncheng Li 013; Jungang Yang 001; Radu Timofte; Yulan Guo; Kai Jin; Zeqiang Wei; Angulia Yang; et al. (CVPR Workshops, 2025)

Real-World Light Field Image Super-Resolution Via Degradation Modulation. - Yingqian Wang 002; Zhengyu Liang; Longguang Wang; Jungang Yang 001; Wei An; Yulan Guo (IEEE Trans. Neural Networks Learn. Syst., 2025)

Tempo-R0: A Video-MLLM for Temporal Video Grounding through Efficient Temporal Sensing Reinforcement Learning. - Feng Yue; Zhaoxing Zhang; Junming Jiao; Zhengyu Liang; Shiwen Cao; Feifei Zhang; Rong Shen (CoRR, 2025)