Geng, Tong

16 publications

ICML 2025 An Expressive and Self-Adaptive Dynamical System for Efficient Function Learning Chuan Liu, Chunshu Wu, Ruibing Song, Ang Li, Ying Nian Wu, Tong Geng

ICLR 2025 DS-LLM: Leveraging Dynamical Systems to Enhance Both Training and Inference of Large Language Models Ruibing Song, Chuan Liu, Chunshu Wu, Ang Li, Dongfang Liu, Ying Nian Wu, Tong Geng

ICLR 2025 Diff-PIC: Revolutionizing Particle-in-Cell Nuclear Fusion Simulation with Diffusion Models Chuan Liu, Chunshu Wu, Shihui Cao, Mingkai Chen, James Chenhao Liang, Ang Li, Michael Huang, Chuang Ren, Ying Nian Wu, Dongfang Liu, Tong Geng

ICLR 2025 InstaTrain: Adaptive Training via Ultra-Fast Natural Annealing Within Dynamical Systems Chuan Liu, Ruibing Song, Chunshu Wu, Pouya Haghi, Tong Geng

LoG 2025 NP-NDS: A Nature-Powered Nonlinear Dynamical System for Power Grid Forecasting Chunshu Wu, Ruibing Song, Chuan Liu, Yuqing Wang, Yousu Chen, Ang Li, Dongfang Liu, Ying Nian Wu, Michael Huang, Tong Geng

NeurIPS 2025 Probabilistic Token Alignment for Large Language Model Fusion Runjia Zeng, James Chenhao Liang, Cheng Han, Zhiwen Cao, Jiahao Liu, Xiaojun Quan, Yingjie Victor Chen, Lifu Huang, Tong Geng, Qifan Wang, Dongfang Liu

ICLR 2025 Visual Agents as Fast and Slow Thinkers Guangyan Sun, Mingyu Jin, Zhenting Wang, Cheng-Long Wang, Siqi Ma, Qifan Wang, Tong Geng, Ying Nian Wu, Yongfeng Zhang, Dongfang Liu

ICLR 2024 Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World Chunshu Wu, Ruibing Song, Chuan Liu, Yunan Yang, Ang Li, Michael Huang, Tong Geng

ICML 2024 Prototypical Transformer as Unified Motion Learners Cheng Han, Yawen Lu, Guohao Sun, James Chenhao Liang, Zhiwen Cao, Qifan Wang, Qiang Guan, Sohail Dianat, Raghuveer Rao, Tong Geng, Zhiqiang Tao, Dongfang Liu

NeurIPS 2024 Visual Fourier Prompt Tuning Runjia Zeng, Cheng Han, Qifan Wang, Chunshu Wu, Tong Geng, Lifu Huang, Ying Nian Wu, Dongfang Liu

NeurIPS 2023 ClusterFomer: Clustering as a Universal Visual Learner James Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu

AAAI 2023 Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion Under Uncertainty Zhenyu Pan, Anshujit Sharma, Jerry Yao-Chieh Hu, Zhuo Liu, Ang Li, Han Liu, Michael C. Huang, Tong Geng

NeurIPS 2023 LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding

CVPR 2023 TransFlow: Transformer as Flow Learner Yawen Lu, Qifan Wang, Siqi Ma, Tong Geng, Yingjie Victor Chen, Huaijin Chen, Dongfang Liu

AAAI 2021 Comparison Lift: Bandit-Based Experimentation System for Online Advertising Tong Geng, Xiliang Lin, Harikesh S. Nair, Jun Hao, Bin Xiang, Shurui Fan

AAAI 2020 Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments Tong Geng, Xiliang Lin, Harikesh S. Nair