Ren, Kan

25 publications

NeurIPS 2025 Chain-of-Model Learning for Language Model Xiaohua Wang, Kaitao Song, Xu Tan, Huiqiang Jiang, Chengruidong Zhang, Yongliang Shen, Cen Lu, Zihao Li, Zifan Song, Caihua Shan, Yansen Wang, Kan Ren, Xiaoqing Zheng, Tao Qin, Yuqing Yang, Dongsheng Li, Lili Qiu
ICLR 2025 Discovering Influential Neuron Path in Vision Transformers Yifan Wang, Yifei Liu, Yingdong Shi, Changming Li, Anqi Pang, Sibei Yang, Jingyi Yu, Kan Ren
CVPR 2025 Dissecting and Mitigating Diffusion Bias via Mechanistic Interpretability Yingdong Shi, Changming Li, Yifan Wang, Yongxiang Zhao, Anqi Pang, Sibei Yang, Jingyi Yu, Kan Ren
ICML 2025 VerbalTS: Generating Time Series from Texts Shuqi Gu, Chuyue Li, Baoyu Jing, Kan Ren
ICLR 2024 CNN Kernels Can Be the Best Shapelets Eric Qu, Yansen Wang, Xufang Luo, Wenqiang He, Kan Ren, Dongsheng Li
NeurIPS 2024 Diffusion-Based Reinforcement Learning via Q-Weighted Variational Policy Optimization Shutong Ding, Ke Hu, Zhenhao Zhang, Kan Ren, Weinan Zhang, Jingyi Yu, Jingya Wang, Ye Shi
ICLRW 2024 EASYTOOL: Enhancing LLM-Based Agents with Concise Tool Instruction Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Yongliang Shen, Kan Ren, Dongsheng Li, Deqing Yang
NeurIPS 2024 EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals Xuan-Hao Liu, Yan-Kai Liu, Yansen Wang, Kan Ren, Hanwen Shi, Zilong Wang, Dongsheng Li, Bao-Liang Lu, Wei-Long Zheng
NeurIPS 2024 TaskBench: Benchmarking Large Language Models for Task Automation Yongliang Shen, Kaitao Song, Xu Tan, Wenqi Zhang, Kan Ren, Siyu Yuan, Weiming Lu, Dongsheng Li, Yueting Zhuang
ICLRW 2024 TaskBench: Benchmarking Large Language Models for Task Automation Yongliang Shen, Kaitao Song, Xu Tan, Wenqi Zhang, Kan Ren, Siyu Yuan, Weiming Lu, Dongsheng Li, Yueting Zhuang
NeurIPS 2024 Towards Editing Time Series Baoyu Jing, Shuqi Gu, Tianyu Chen, Zhiyu Yang, Dongsheng Li, Jingrui He, Kan Ren
ICML 2023 CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling Yansen Wang, Xinyang Jiang, Kan Ren, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
NeurIPS 2023 ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling Yuqi Chen, Kan Ren, Yansen Wang, Yuchen Fang, Weiwei Sun, Dongsheng Li
AAAI 2023 Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li
NeurIPS 2023 Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling Ke Yi, Yansen Wang, Kan Ren, Dongsheng Li
ICLR 2023 SIMPLE: Specialized Model-Sample Matching for Domain Generalization Ziyue Li, Kan Ren, Xinyang Jiang, Yifei Shen, Haipeng Zhang, Dongsheng Li
AAAI 2023 Towards Inference Efficient Deep Ensemble Learning Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li
NeurIPS 2022 Bootstrapped Transformer for Offline Reinforcement Learning Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li
NeurIPS 2022 Reinforcement Learning with Automated Auxiliary Loss Search Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li
IJCAI 2022 Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
AAAI 2021 Universal Trading for Order Execution with Oracle Policy Distillation Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu
AAAI 2019 Deep Recurrent Survival Analysis Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu
AAAI 2019 Guiding the One-to-One Mapping in CycleGAN via Optimal Transport Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu
ICLR 2018 Activation Maximization Generative Adversarial Nets Zhiming Zhou, Han Cai, Shu Rong, Yuxuan Song, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu
ECML-PKDD 2016 Functional Bid Landscape Forecasting for Display Advertising Yuchen Wang, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu