| 2026 | AAAI | SpaCRD: Multimodal Deep Fusion of Histology and Spatial Transcriptomics for Cancer Region Detection. | Shuailin Xue, Jun Wan, Lihua Zhang, Wenwen Min |
| 2026 | ACL | a1: Steep Test-time Scaling Law via Environment Augmented Generation. | Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Yuyao Ge, Jun Wan, Yurong Wu, Xueqi Cheng |
| 2026 | ACL | Gated Differentiable Working Memory for Long-Context Language Modeling. | Lingrui Mei, Shenghua Liu, Yiwei Wang, Yuyao Ge, Baolong Bi, Jiayu Yao, Jun Wan, Ziling Yin, Jiafeng Guo, Xueqi Cheng |
| 2025 | AAAI | Mixture-of-Attack-Experts with Class Regularization for Unified Physical-Digital Face Attack Detection. | Shunxin Chen, Ajian Liu, Junze Zheng, Jun Wan, Kailai Peng, Sergio Escalera, Zhen Lei |
| 2025 | CCS | One-Sided Bounded Noise: Theory, Optimization Algorithms and Applications. | Hanshen Xiao, Jun Wan, Elaine Shi, Srinivas Devadas |
| 2025 | CVPR | Recover and Match: Open-Vocabulary Multi-Label Recognition through Knowledge-Constrained Optimal Transport. | Hao Tan, Zichang Tan, Jun Li, Ajian Liu, Jun Wan, Zhen Lei |
| 2025 | ICCV | UniAttackData+: Unified Physical-Digital Attack Detection+ Challenge. | Hui Ma, Ajian Liu, Yongze Li, Chuanbiao Song, Xiao Guo, Changtao Miao, Wanyi Zhuang, Junze Zheng, Shunxin Chen, Yan Hong, Jiabao Guo, Jiankang Deng, Jun Lan, Weiqiang Wang, Tao Gong, Qi Chu, Sergio Escalera, Hugo Jair Escalante, Xiaoming Liu, Zhen Lei, Isabelle Guyon, Yanyan Liang, Jun Wan |
| 2024 | AAAI | Compound Text-Guided Prompt Tuning via Image-Adaptive Cues. | Hao Tan, Jun Li, Yizhuang Zhou, Jun Wan, Zhen Lei, Xiangyu Zhang |
| 2024 | COLING | Factorized Learning Assisted with Large Language Model for Gloss-free Sign Language Translation. | Zhigang Chen, Benjia Zhou, Jun Li, Jun Wan, Zhen Lei, Ning Jiang, Quan Lu, Guoqing Zhao |
| 2024 | COLING | BP4ER: Bootstrap Prompting for Explicit Reasoning in Medical Dialogue Generation. | Yuhong He, Yongqi Zhang, Shizhu He, Jun Wan |
| 2024 | CVPR | CFPL-FAS: Class Free Prompt Learning for Generalizable Face Anti-Spoofing. | Ajian Liu, Shuai Xue, Jianwen Gan, Jun Wan, Yanyan Liang, Jiankang Deng, Sergio Escalera, Zhen Lei |
| 2024 | CVPR | Unified Physical-Digital Attack Detection Challenge. | Haocheng Yuan, Ajian Liu, Junze Zheng, Jun Wan, Jiankang Deng, Sergio Escalera, Hugo Jair Escalante, Isabelle Guyon, Zhen Lei |
| 2024 | ICASSP | VL-FAS: Domain Generalization via Vision-Language Model For Face Anti-Spoofing. | Hao Fang, Ajian Liu, Ning Jiang, Quan Lu, Guoqing Zhao, Jun Wan |
| 2024 | IJCAI | Unified Physical-Digital Face Attack Detection. | Hao Fang, Ajian Liu, Haocheng Yuan, Junze Zheng, Dingheng Zeng, Yanhong Liu, Jiankang Deng, Sergio Escalera, Xiaoming Liu, Jun Wan, Zhen Lei |
| 2024 | IJCNN | Adaptive Sparse Learning Based on Flexible Graph Embedding for Parkinson's Disease Diagnosis. | Zhongwei Huang, Jianqiang Li, Jiatao Yang, Ran Zhou, Jun Wan, Haitao Gan |
| 2024 | IJCNN | Word and Character Semantic Fusion by Pretrained Language Models for Text Classification. | Yujia Wu, Jun Wan |
| 2024 | WCNC | Wi-locind: Location-Independent Respiration Sensing Based on WIFI CSI. | Jun Wan, Ting Jiang, Xinyi Zhou, Danlan Huang |
| 2023 | AAAI | Mixture Uniform Distribution Modeling and Asymmetric Mix Distillation for Class Incremental Learning. | Sunyuan Qiang, Jiayi Hou, Jun Wan, Yanyan Liang, Zhen Lei, Du Zhang |
| 2023 | CCS | Geometry of Sensitivity: Twice Sampling and Hybrid Clipping in Differential Privacy with Optimal Gaussian Noise and Application to Deep Learning. | Hanshen Xiao, Jun Wan, Srinivas Devadas |
| 2023 | CVPR | Surveillance Face Presentation Attack Detection Challenge. | Hao Fang, Ajian Liu, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zhen Lei |
| 2023 | CVPR | Attack-Agnostic Deep Face Anti-Spoofing. | Ajian Liu, Zichang Tan, Yanyan Liang, Jun Wan |
| 2023 | CVPR | Wild Face Anti-Spoofing Challenge 2023: Benchmark and Results. | Dong Wang, Jia Guo, Qiqi Shao, Haochi He, Zhian Chen, Chuanbao Xiao, Ajian Liu, Sergio Escalera, Hugo Jair Escalante, Zhen Lei, Jun Wan, Jiankang Deng |
| 2023 | ICCV | Gloss-free Sign Language Translation: Improving from Visual-Language Pretraining. | Benjia Zhou, Zhigang Chen, Albert Claps, Jun Wan, Yanyan Liang, Sergio Escalera, Zhen Lei, Du Zhang |
| 2023 | ICIP | Combining Self-Supervised and Supervised Learning with Noisy Labels. | Yongqi Zhang, Hui Zhang, Quanming Yao, Jun Wan |
| 2023 | IJCAI | Cross-Domain Facial Expression Recognition via Disentangling Identity Representation. | Tong Liu, Jing Li, Jia Wu, Lefei Zhang, Shanshan Zhao, Jun Chang, Jun Wan |
| 2023 | IGARSS | Spaceborne Distributed Aperture Radar Maneuvering Target Detection Approach with Space-Time 2d Hybrid Integration Technique. | Dong Li, Xiaohua Kang, Jun Wan, Rensu Hu, Zhanye Chen |
| 2023 | PODC | On the Amortized Communication Complexity of Byzantine Broadcast. | Jun Wan, Atsuki Momose, Ling Ren, Elaine Shi, Zhuolun Xiang |
| 2022 | CVPR | Nested Collaborative Learning for Long-Tailed Visual Recognition. | Jun Li, Zichang Tan, Jun Wan, Zhen Lei, Guodong Guo |
| 2022 | CVPR | Decoupling and Recoupling Spatiotemporal Representation for RGB-D-based Motion Recognition. | Benjia Zhou, Pichao Wang, Jun Wan, Yanyan Liang, Fan Wang, Du Zhang, Zhen Lei, Hao Li, Rong Jin |
| 2022 | ICPR | Disentangling Facial Pose and Appearance Information for Face Anti-spoofing. | Ajian Liu, Jun Wan, Ning Jiang, Hongbin Wang, Yanyan Liang |
| 2021 | AAAI | Regional Attention with Architecture-Rebuilt 3D Network for RGB-D Gesture Recognition. | Benjia Zhou, Yunan Li, Jun Wan |
| 2021 | CAIP | LAE : Long-Tailed Age Estimation. | Zenghao Bao, Zichang Tan, Yu Zhu, Jun Wan, Xibo Ma, Zhen Lei, Guodong Guo |
| 2021 | IJCNN | Think About Boundary: Fusing Multi-level Boundary Information for Landmark Heatmap Regression. | Jinheng Xie, Jun Wan, Linlin Shen, Zhihui Lai |
| 2021 | IJCNN | Siamese Guided Anchoring Network for Visual Tracking. | Yifei Zhou, Jing Li, Jun Chang, Yafu Xiao, Jun Wan, Hang Sun |
| 2021 | WACV | CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-ethnicity Face Anti-spoofing. | Ajian Liu, Zichang Tan, Jun Wan, Sergio Escalera, Guodong Guo, Stan Z. Li |
| 2020 | AAAI | Relation-Aware Pedestrian Attribute Recognition with Graph Convolutional Networks. | Zichang Tan, Yang Yang, Jun Wan, Guodong Guo, Stan Z. Li |
| 2020 | IGARSS | Ground Moving Target Imaging Based on MSOKT and KT for Synthetic Aperture Radar. | Jun Wan, Zhanye Chen, Yu Zhou, Dong Li, Yan Huang, Linrang Zhang |
| 2020 | IGARSS | A Novel SAR Image Domain-Ground Moving Target Imaging Method. | Zhanye Chen, Yan Huang, Jun Wan, Dong Li, Li Li, Zhiqiang Zeng, Shuwei Zhou |
| 2020 | ISSTA | DeepGini: prioritizing massive tests to enhance the robustness of deep neural networks. | Yang Feng, Qingkai Shi, Xinyu Gao, Jun Wan, Chunrong Fang, Zhenyu Chen |
| 2020 | TCC | Round-Efficient Byzantine Broadcast Under Strongly Adaptive and Majority Corruptions. | Jun Wan, Hanshen Xiao, Srinivas Devadas, Elaine Shi |
| 2020 | TCC | Expected Constant Round Byzantine Broadcast Under Dishonest Majority. | Jun Wan, Hanshen Xiao, Elaine Shi, Srinivas Devadas |
| 2019 | CVPR | Multi-Modal Face Anti-Spoofing Attack Detection Challenge at CVPR2019. | Ajian Liu, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zichang Tan, Qi Yuan, Kai Wang, Chi Lin, Guodong Guo, Isabelle Guyon, Stan Z. Li |
| 2019 | CVPR | A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing. | Shifeng Zhang, Xiaobo Wang, Ajian Liu, Chenxu Zhao, Jun Wan, Sergio Escalera, Hailin Shi, Zezheng Wang, Stan Z. Li |
| 2019 | IJCAI | Deeply-learned Hybrid Representations for Facial Age Estimation. | Zichang Tan, Yang Yang, Jun Wan, Guodong Guo, Stan Z. Li |
| 2018 | AAAI | Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition. | Pichao Wang, Wanqing Li, Jun Wan, Philip Ogunbona, Xinwang Liu |
| 2018 | QRS | MuNN: Mutation Analysis of Neural Networks. | Weijun Shen, Jun Wan, Zhenyu Chen |
| 2017 | BMVC | Multi-Region Ensemble Convolutional Neural Network for High Accuracy Age Estimation. | Yiliang Chen, Zichang Tan, Alex Po Leung, Jun Wan, Jianguo Zhang |
| 2016 | ACCV | Age Estimation Based on a Single Network with Soft Softmax of Aging Modeling. | Zichang Tan, Shuai Zhou, Jun Wan, Zhen Lei, Stan Z. Li |
| 2016 | CVPR | ChaLearn Looking at People RGB-D Isolated and Continuous Datasets for Gesture Recognition. | Jun Wan, Stan Z. Li, Yibing Zhao, Shuai Zhou, Isabelle Guyon, Sergio Escalera |
| 2016 | ICALP | Information Cascades on Arbitrary Topologies. | Jun Wan, Yu Xia, Liang Li, Thomas Moscibroda |
| 2016 | ICPR | ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview. | Hugo Jair Escalante, Vctor Ponce-Lpez, Jun Wan, Michael A. Riegler, Baiyu Chen, Albert Claps, Sergio Escalera, Isabelle Guyon, Xavier Bar, Pl Halvorsen, Henning Mller, Martha A. Larson |
| 2008 | ICNC | The Sample Number Selection Rules Study on Grey Forecast Model. | Jun Wan, Sifeng Liu, Tianxiang Yao |