The Algorithm of Iris Image Preprocessing. - Lili Pan 001; Mei Xie (AutoID, 2005)

Iris localization based on multi-resolution analysis. - Lili Pan 001; Mei Xie; Zheng Ma 005 (ICPR, 2008)

A Robust Iris Localization Model Based on Phase Congruency and Least Trimmed Squares Estimation. - Lili Pan 001; Mei Xie; Tao Zheng; Jianli Ren (ICIAP, 2009)

Fast and Robust Circular Object Detection With Probabilistic Pairwise Voting. - Lili Pan 001; Wen-Sheng Chu; Jason M. Saragih; Fernando De la Torre; Mei Xie (IEEE Signal Process. Lett., 2011)

Iris Image Blur Detection with Multiple Kernel Learning. - Lili Pan 001; Mei Xie; Ling Mao (IEICE Trans. Inf. Syst., 2012)

Mixture of related regressions for head pose estimation. - Lili Pan 001; Risheng Liu; Mei Xie (ICIP, 2013)

Correlated warped Gaussian processes for gender-specific age estimation. - Difei Gao; Lili Pan 001; Risheng Liu; Rui Chen; Mei Xie (ICIP, 2015)

Using Correlated Regression Models to Calculate Cumulative Attributes for Age Estimation. - Lili Pan 001; Qiangsen He; Yali Zheng; Mei Xie (IEICE Trans. Inf. Syst., 2015)

3D Object Retrieval with Multimodal Views. - Yue Gao 002; Weizhi Nie; Anan Liu; Yuting Su 001; Qionghai Dai; Le An; Fuhai Chen; Liujuan Cao; Shuilong Dong; Yu De; Zan Gao; Jiayun Hao; et al. (3DOR@Eurographics, 2016)

Figure/ground video segmentation via low-rank sparse learning. - Song Gu; Jianguo Wang; Lili Pan 001; Shilei Cheng; Zheng Ma 005; Mei Xie (ICIP, 2016)

Mixture of grouped regressors and its application to visual mapping. - Lili Pan 001; Jason M. Saragih; Wen-Sheng Chu (Pattern Recognit., 2016)

Mixture of Deep Regression Networks for Head Pose Estimation. - Yangguang Huang; Lili Pan 001; Yali Zheng; Mei Xie (ICIP, 2018)

Latent Dirichlet Allocation in Generative Adversarial Networks. - Lili Pan 001; Shen Cheng; Jian Liu; Yazhou Ren 001; Zenglin Xu (CoRR, 2018)

Self-Paced Deep Regression Forests for Facial Age Estimation. - Shijie Ai; Yazhou Ren 001; Lili Pan 001 (CoRR, 2019)

Semi-supervised deep embedded clustering. - Yazhou Ren 001; Kangrong Hu; Xinyi Dai; Lili Pan 001; Steven C. H. Hoi; Zenglin Xu (Neurocomputing, 2019)

Self-Paced Deep Regression Forests with Consideration on Underrepresented Examples. - Lili Pan 001; Shijie Ai; Yazhou Ren 001; Zenglin Xu (ECCV (30), 2020)

Self-Paced Deep Regression Forests with Consideration on Underrepresented Samples. - Lili Pan 001; Shijie Ai; Yazhou Ren 001; Zenglin Xu (CoRR, 2020)

Integrating deep convolutional neural networks with marker-controlled watershed for overlapping nuclei segmentation in histopathology images. - Lipeng Xie; Jin Qi; Lili Pan 001; Samad Wali (Neurocomputing, 2020)

Latent Dirichlet allocation based generative adversarial networks. - Lili Pan 001; Shen Cheng; Jian Liu; Peijun Tang; Bowen Wang; Yazhou Ren 001; Zenglin Xu (Neural Networks, 2020)

Fast matching via ergodic markov chain for super-large graphs. - Yali Zheng; Lili Pan 001; Jiye Qian; Hongliang Guo (Pattern Recognit., 2020)

Boosting Few-Shot Classification with View-Learnable Contrastive Learning. - Xu Luo 003; Yuxuan Chen; Liangjian Wen; Lili Pan 001; Zenglin Xu (ICME, 2021)

Contrastive Disentanglement in Generative Adversarial Networks. - Lili Pan 001; Peijun Tang; Zhiyong Chen; Zenglin Xu (CoRR, 2021)

Self-supervised Discriminative Feature Learning for Multi-view Clustering. - Jie Xu 044; Yazhou Ren 001; Huayi Tang; Zhimeng Yang; Lili Pan 001; Yang Yang 002; Xiaorong Pu (CoRR, 2021)

Self-Paced Deep Regression Forests with Consideration on Ranking Fairness. - Lili Pan 001; Mingming Meng; Yazhou Ren 001; Yali Zheng; Zenglin Xu (CoRR, 2021)

Deep embedded multi-view clustering with collaborative training. - Jie Xu 044; Yazhou Ren 001; Guofeng Li; Lili Pan 001; Ce Zhu; Zenglin Xu (Inf. Sci., 2021)

Dual self-paced multi-view clustering. - Zongmo Huang; Yazhou Ren 001; Xiaorong Pu; Lili Pan 001; Dezhong Yao 001; Guoxian Yu (Neural Networks, 2021)

CafeBoost: Causal Feature Boost to Eliminate Task-Induced Bias for Class Incremental Learning. - Benliu Qiu; Hongliang Li 001; Haitao Wen; Heqian Qiu; Lanxiao Wang; Fanman Meng; Qingbo Wu 001; Lili Pan 001 (CVPR, 2023)

Optimizing Mode Connectivity for Class Incremental Learning. - Haitao Wen; Haoyang Cheng; Heqian Qiu; Lanxiao Wang; Lili Pan 001; Hongliang Li 001 (ICML, 2023)

Quality and Quantity: Unveiling a Million High-Quality Images for Text-to-Image Synthesis in Fashion Design. - Jia Yu; Lichao Zhang; Zijie Chen; Fayu Pan; Miaomiao Wen; Yuming Yan; Fangsheng Weng; Shuai Zhang; Lili Pan 001; Zhenzhong Lan (CoRR, 2023)

Edge enhancement improves adversarial robustness in image classification. - Lirong He; Qingzhong Ai; Yuqing Lei; Lili Pan 001; Yazhou Ren 001; Zenglin Xu (Neurocomputing, 2023)

Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering. - Jie Xu 044; Yazhou Ren 001; Huayi Tang; Zhimeng Yang; Lili Pan 001; Yang Yang 002; Xiaorong Pu; Philip S. Yu; Lifang He 001 (IEEE Trans. Knowl. Data Eng., 2023)

Is Our Continual Learner Reliable? Investigating Its Decision Attribution Stability through SHAP Value Consistency. - Yusong Cai; Shimou Ling; Liang Zhang; Lili Pan 001; Hongliang Li 001 (CVPR Workshops, 2024)

Tailored Visions: Enhancing Text-to-Image Generation with Personalized Prompt Rewriting. - Zijie Chen; Lichao Zhang; Fangsheng Weng; Lili Pan 001; Zhenzhong Lan (CVPR, 2024)

Class Incremental Learning with Multi-Teacher Distillation. - Haitao Wen; Lili Pan 001; Yu Dai; Heqian Qiu; Lanxiao Wang; Qingbo Wu 001; Hongliang Li 001 (CVPR, 2024)

ARIC: An Activity Recognition Dataset in Classroom Surveillance Images. - Linfeng Xu 001; Fanman Meng; Qingbo Wu 001; Lili Pan 001; Heqian Qiu; Lanxiao Wang; Kailong Chen; Kanglei Geng; Yilei Qian; Haojie Wang; Shuchang Zhou 002; Shimou Ling; et al. (CoRR, 2024)

Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas. - Xiang Hu; Hongyu Fu; Jinge Wang 010; Yifeng Wang; Zhikun Li; Renjun Xu; Yu Lu; Yaochu Jin; Lili Pan 001; Zhenzhong Lan (CoRR, 2024)

UBER: Uncertainty-Based Evolution with Large Language Models for Automatic Heuristic Design. - Zijie Chen; Zhanchao Zhou; Yu Lu; Renjun Xu; Lili Pan 001; Zhenzhong Lan (CoRR, 2024)

Closed-Loop Training for Projected GAN. - Jiangwei Zhao; Liang Zhang; Lili Pan 001; Hongliang Li 001 (IEEE Signal Process. Lett., 2024)

Towards Continual Egocentric Activity Recognition: A Multi-Modal Egocentric Activity Dataset for Continual Learning. - Linfeng Xu 001; Qingbo Wu 001; Lili Pan 001; Fanman Meng; Hongliang Li 001; Chiyuan He; Hanxin Wang; Shaoxu Cheng; Yu Dai (IEEE Trans. Multim., 2024)

InfoUCL: Learning Informative Representations for Unsupervised Continual Learning. - Liang Zhang; Jiangwei Zhao; Qingbo Wu 001; Lili Pan 001; Hongliang Li 001 (IEEE Trans. Multim., 2024)

NOVA: An Iterative Planning Framework for Enhancing Scientific Innovation with Large Language Models. - Xiang Hu; Hongyu Fu; Jinge Wang 010; Yifeng Wang; Zhikun Li; Renjun Xu; Yu Lu; Yaochu Jin; Lili Pan 001; Zhenzhong Lan (ACL (Findings), 2025)

Enhancing Few-Shot Class-Incremental Learning via Frozen Feature Augmentation. - Shimou Ling; Shengkai Gan; Caoxin Wang; Lili Pan 001; Hongliang Li 001 (CVPR Workshops, 2025)

CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network. - Zejia Liu; Lili Pan 001; Xiaohan Guo; Jiangwei Zhao (Neurocomputing, 2025)

R^2MoE: Redundancy-Removal Mixture of Experts for Lifelong Concept Learning. - Xiaohan Guo; Yusong Cai; Zejia Liu; Zhengning Wang; Lili Pan 001; Hongliang Li 001 (CoRR, 2025)

aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists. - Pengsong Zhang; Xiang Hu; Guowei Huang; Yang Qi; Heng Zhang; Xiuxu Li; Jiaxing Song; Jiabin Luo; Yijiang Li; Shuo Yin; Chengxiao Dai; Eric Hanchen Jiang; et al. (CoRR, 2025)

LoRA-based continual learning with constraints on critical parameter changes. - Shimou Ling; Liang Zhang; Jiangwei Zhao; Lili Pan 001; Hongliang Li 001 (Pattern Recognit., 2026)