Effective community division based on improved spectral clustering. - Yi Xu 003; Zhi Zhuang; Weimin Li 001; Xiaokang Zhou (Neurocomputing, 2018)

Versatile Multiple Choice Learning and Its Application to Vision Computing. - Kai Tian 001; Yi Xu 003; Shuigeng Zhou; Jihong Guan (CVPR, 2019)

Non-Local ConvLSTM for Video Compression Artifact Reduction. - Yi Xu 003; Longwen Gao; Kai Tian 001; Shuigeng Zhou; Huyang Sun (ICCV, 2019)

Simple Is Better: A Global Semantic Consistency Based End-to-End Framework for Effective Zero-Shot Learning. - Fan Wu; Shuigeng Zhou; Kang Wang; Yi Xu 003; Jihong Guan; Jun Huan (PRICAI (1), 2019)

Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance. - Kai Tian 001; Yi Xu 003; Jihong Guan; Shuigeng Zhou (AAAI, 2020)

Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment. - Qiuyu Chen; Wei Zhang 016; Ning Zhou; Peng Lei; Yi Xu 003; Yu Zheng 006; Jianping Fan 001 (CVPR, 2020)

Optimal Trade Execution Based on Deep Deterministic Policy Gradient. - Zekun Ye; Weijie Deng; Shuigeng Zhou; Yi Xu 003; Jihong Guan (DASFAA (1), 2020)

GIF Thumbnails: Attract More Clicks to Your Videos. - Yi Xu 003; Fan Bai 001; Yingxuan Shi; Qiuyu Chen; Longwen Gao; Kai Tian 001; Shuigeng Zhou; Huyang Sun (AAAI, 2021)

Boosting the Performance of Video Compression Artifact Reduction With Reference Frame Proposals and Frequency Domain Information. - Yi Xu 003; Minyi Zhao; Jing Liu 031; Xinjian Zhang; Longwen Gao; Shuigeng Zhou; Huyang Sun (CVPR Workshops, 2021)

Weakly-supervised Text Classification Based on Keyword Graph. - Lu Zhang 060; Jiandong Ding; Yi Xu 003; Yingyao Liu; Shuigeng Zhou (EMNLP (1), 2021)

Recursive Fusion and Deformable Spatiotemporal Attention for Video Compression Artifact Reduction. - Minyi Zhao; Yi Xu 003; Shuigeng Zhou (ACM Multimedia, 2021)

DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples. - Yi Xu 003; Jiandong Ding; Lu Zhang 060; Shuigeng Zhou (NeurIPS, 2021)

NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results. - Ren Yang; Radu Timofte; Jing Liu 031; Yi Xu 003; Xinjian Zhang; Minyi Zhao; Shuigeng Zhou; Kelvin C. K. Chan; Shangchen Zhou; Xiangyu Xu 002; Chen Change Loy; Xin Li 106; et al. (CoRR, 2021)

Dance Generation with Style Embedding: Learning and Transferring Latent Representations of Dance Styles. - Xinjian Zhang; Yi Xu 003; Su Yang 001; Longwen Gao; Huyang Sun (CoRR, 2021)

EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification. - Minyi Zhao; Lu Zhang 060; Yi Xu 003; Jiandong Ding; Jihong Guan; Shuigeng Zhou (NAACL-HLT, 2022)

Mining and Applying Composition Knowledge of Dance Moves for Style-Concentrated Dance Generation. - Xinjian Zhang; Su Yang 001; Yi Xu 003; Weishan Zhang; Longwen Gao (AAAI, 2023)

IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History. - Yi Xu 003; Weiran Shen; Xiao Zhang 034; Jun Xu 001 (CoRR, 2024)

Enhancing Sequential Recommendations through Multi-Perspective Reflections and Iteration. - Weicong Qin; Yi Xu 003; Weijie Yu 003; Chenglei Shen; Xiao Zhang 034; Ming He; Jianping Fan 001; Jun Xu 001 (CoRR, 2024)

MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment. - Weicong Qin; Yi Xu 003; Weijie Yu 003; Chenglei Shen; Ming He; Jianping Fan 001; Xiao Zhang 034; Jun Xu 001 (ACL (1), 2025)

HiREN: Towards higher supervision quality for better scene text image super-resolution. - Minyi Zhao; Yi Xu 003; Bingjia Li; Jie Wang; Jihong Guan; Shuigeng Zhou (Neurocomputing, 2025)

Decoding Recommendation Behaviors of In-Context Learning LLMs Through Gradient Descent. - Yi Xu 003; Weicong Qin; Weijie Yu 003; Ming He; Jianping Fan 001; Jun Xu 001 (CoRR, 2025)

Similarity = Value? Consultation Value Assessment and Alignment for Personalized Search. - Weicong Qin; Yi Xu 003; Weijie Yu 003; Teng Shi; Chenglei Shen; Ming He; Jianping Fan 001; Xiao Zhang 034; Jun Xu 001 (CoRR, 2025)