Intelligent Electromagnetic Structure Design and Optimization

• IEEE TAP AI-Driven Automated Metasurface Design Framework for Diverse RCS Reduction Objectives, GuYing Deng, Yao Pan, Yaofo Chen^†, Mingkui Tan, XiuYin Zhang. PDF
• IMWS-AMP 2026 Machine Learning-Assisted End-to-End Synthesis of RF Transformer-Based Matching Networks, Tao Wang, Li Gao, Yaofo Chen, Xiuyin Zhang. July 22- 24, 2026. Cairns, Australia. PDF

Deep Model Architecture and Design

• ICML 2025 Core Context Aware Transformers for Long Context Language Modeling, Yaofo Chen, Zeng You, Shuhai Zhang, Haokun Li, Yirui Li, Yaowei Wang, Mingkui Tan. July 13-19, 2025. Vancouver, Canada. PDF / Poster / Slides / Code / Project Page
• ICML 2026 LoKiFormer: Locality-aware Attention with Decoupled Knowledge Memory for Efficient Large Language Model Pretraining, Qiuwu Chen, Zimo Liu, Yuchen Li, Ying Sun, Yifan Zhang, Zhijie Qiu, Zeng You, Ryan Dong, Simeng Ma, Yaofo Chen^†, Mingkui Tan^†. July 6-11, 2026. Seoul, South Korea. PDF / Code / Poster
• NeurIPS 2026 Tree Rotary Positional Encoding for Extreme Length Extrapolation from Scratch, Qiuwu Chen, Ziteng Huang, Shuhai Zhang, Zimo Liu, Linxiao Li, Ying Sun, Yuchen Li, Yifan Zhang, Yaofo Chen, Mingkui Tan. December 6-12, 2026. Sydney, Australia. PDF / Code
• ICML 2025 Curse of High Dimensionality Issue in Transformer for Long Context Modeling, Shuhai Zhang, Zeng You, Yaofo Chen, Zhiquan Wen, Qianyue Wang, Zhijie Qiu, Yuanqing Li, Mingkui Tan. July 13-19, 2025. Vancouver, Canada. PDF / Code
• ACL 2026 Latent-Condensed Transformer for Efficient Long Context Modeling, Zeng You^*, Yaofo Chen^*, Shuhai Zhang, Yingjian Li, Ying Sun, Qiuwu Chen, Yaowei Wang, Mingkui Tan. July 2-7, 2026. San Diego, California. PDF / Code
• TPAMI 2026 Training-free Context-adaptive Attention for Efficient Long Context Modeling, Zeng You^*, Yaofo Chen^*, Shuhai Zhang^*, Zhijie Qiu, Tingyu Wu, Yingjian Li, Yaowei Wang, Mingkui Tan. PDF / Code
• AAAI 2026 ProCache: Constraint-Aware Feature Caching with Selective Computation for Diffusion Transformer Acceleration, Fanpu Cao, Yaofo Chen^†, Zeng You, Wei Luo. Jan 20-27, 2026. Singapore, Singapore. PDF / Code
• TCSVT 2024 Automated Dominative Subspace Mining for Efficient Neural Architecture Search, Yaofo Chen, Yong Guo, Daihai Liao, Fanbing Lv, Hengjie Song, James Tin-Yau Kwok, Mingkui Tan. PDF / Code
• CVPR 2021 Contrastive Neural Architecture Search with Neural Architecture Comparators, Yaofo Chen, Yong Guo, Qi Chen, Minli Li, Wei Zeng, Yaowei Wang, Mingkui Tan. June 19-25, 2021. Virtual. PDF / Supp / Poster / Slides / Code
• ICML 2020 Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search, Yong Guo^*, Yaofo Chen^*, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan. July 12-18, 2020. Vienna, Austria. PDF / Supp / Poster / Slides / Code
• Neural Networks 2021 Content-aware Convolutional Neural Networks, Yong Guo, Yaofo Chen, Mingkui Tan, Kui Jia, Jian Chen, Jingdong Wang. PDF / Code
• CVPRW 2023 Pareto-aware Neural Architecture Generation for Diverse Computational Budgets, Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan. Jun 18-22, 2023. Vancouver, Canada. PDF / Supp / Code

Model Generalization, Adaptation

• ICLR 2024 Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation, Yaofo Chen, Shuaicheng Niu, Yaowei Wang, Shoukai Xu, Hengjie Song, Mingkui Tan. May 7-11, 2024. Vienna, Austria. PDF / Poster / Slides / Code
• ICLR 2023 (Oral) Towards Stable Test-time Adaptation in Dynamic Wild World, Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan. May 1-5, 2023. Kigali, Rwanda. PDF / Poster / Slides / Code
• ICML 2022 Efficient Test-Time Model Adaptation without Forgetting, Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan. Jul 17-23, 2022. Baltimore, America. PDF / Poster / Slides / Code
• AAAI 2025 Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers, Qi Deng, Shuaicheng Niu, Ronghao Zhang, Yaofo Chen, Runhao Zeng, Jian Chen, Xiping Hu. Feb 25-Mar 4, 2025. Philadelphia, America. PDF / Code
• TPAMI 2025 Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting, Mingkui Tan, Guohao Chen, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Peilin Zhao, Shuaicheng Niu. PDF / Code
• TPAMI 2026 Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization, Shuaicheng Niu, Guohao Chen, Deyu Chen, Yifan Zhang, Jiaxiang Wu, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Chunyan Miao, Mingkui Tan. PDF / Code
• MIR 2026 A Survey on Self-Improving Test-Time Intelligence: Feedback-Driven Adapting, Learning, and Scaling at Inference, Shuaicheng Niu, Guohao Chen, Yaofo Chen, Zhiquan Wen, Jinwu Hu, Zeshuai Deng, Deyu Chen, Shuhai Zhang, Renjie Chen, Zihao Lian, Shoukai Xu, Wei Luo,Mingkui Tan, Cheng Deng. PDF

Other Areas

• PRCV 2025 Sensitivity-Aware Post-Training Quantization for Deep Neural Networks, Zekang Zheng, Haokun Li, Yaofo Chen^†, Mingkui Tan, Qing Du. October 15-18, 2025. Shanghai, China. PDF / Poster
• TCSVT 2024 Towards Long Video Understanding via Fine-detailed Video Story Generation, Zeng You, Zhiquan Wen, Yaofo Chen, Xin Li, Runhao Zeng, Yaowei Wang, Mingkui Tan. PDF / Code / Project Page
• ICML 2026 Intervene When It Doubts: Conjunction-Guided Interactive Reasoning, Qianyue Wang, Jinwu Hu, Yaofo Chen, Zhiquan Wen, Bailin Chen, Huanxiang Lin, Yufeng Wang, Yu Rong, Yuanqing Li, Mingkui Tan. July 6-11, 2026. Seoul, South Korea. PDF / Code
• Chinese Journal of Computers Class-Balanced Federated Learning Based on Data Generation, ZhiPeng Li, Yong Guo, Yaofo Chen, Yaowei Wang, Wei Zeng, Mingkui Tan. PDF / Code