Graph Clustering with Local Density-Cut. - Junming Shao; Qinli Yang; Zhong Zhang 004; Jinhu Liu; Stefan Kramer 001 (DASFAA (1), 2018)

Multi-view Discriminative Learning via Joint Non-negative Matrix Factorization. - Zhong Zhang 004; Zhili Qin; Peiyan Li; Qinli Yang; Junming Shao (DASFAA (2), 2018)

BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation. - Chongming Gao; Shuai Yuan; Zhong Zhang 004; Hongzhi Yin; Junming Shao (DASFAA (3), 2019)

Towards Robust Arbitrarily Oriented Subspace Clustering. - Zhong Zhang 004; Chongming Gao; Chongzhi Liu; Qinli Yang; Junming Shao (DASFAA (1), 2019)

SemiSync: Semi-supervised Clustering by Synchronization. - Zhong Zhang 004; Didi Kang; Chongming Gao; Junming Shao (DASFAA (3), 2019)

Community Detection and Link Prediction via Cluster-driven Low-rank Matrix Completion. - Junming Shao; Zhong Zhang 004; Zhongjing Yu; Jun Wang; Yi Zhao; Qinli Yang (IJCAI, 2019)

Revisiting Representation Degeneration Problem in Language Modeling. - Zhong Zhang 004; Chongming Gao; Cong Xu; Rui Miao; Qinli Yang; Junming Shao (EMNLP (Findings), 2020)

Semantic trajectory representation and retrieval via hierarchical embedding. - Chongming Gao; Zhong Zhang 004; Chen Huang; Hongzhi Yin; Qinli Yang; Junming Shao (Inf. Sci., 2020)

Structured subspace embedding on attributed networks. - Zhongjing Yu; Zhong Zhang 004; Haoran Chen; Junming Shao (Inf. Sci., 2020)

Mixhead: Breaking the low-rank bottleneck in multi-head attention language models. - Zhong Zhang 004; Nian Shao; Chongming Gao; Rui Miao; Qinli Yang; Junming Shao (Knowl. Based Syst., 2022)

Pixel-wise triplet learning for enhancing boundary discrimination in medical image segmentation. - Yang Wen; Leiting Chen; Yu Deng 005; Zhong Zhang 004; Chuan Zhou 004 (Knowl. Based Syst., 2022)

Fine-tuning Happens in Tiny Subspaces: Exploring Intrinsic Task-specific Subspaces of Pre-trained Language Models. - Zhong Zhang 004; Bang Liu; Junming Shao (ACL (1), 2023)

Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. - Chongming Gao; Kexin Huang; Jiawei Chen 007; Yuan Zhang 024; Biao Li; Peng Jiang 002; Shiqi Wang 018; Zhong Zhang 004; Xiangnan He 001 (SIGIR, 2023)

Seeing Is Not Always Believing: Invisible Collision Attack and Defence on Pre-Trained Models. - Minghang Deng; Zhong Zhang 004; Junming Shao (CoRR, 2023)