Liu, Jinxin

19 publications

NeurIPS 2025 How Do Transformers Learn Implicit Reasoning? Jiaran Ye, Zijun Yao, Zhidian Huang, Liangming Pan, Jinxin Liu, Yushi Bai, Amy Xin, Liu Weichuan, Xiaoyin Che, Lei Hou, Juanzi Li

AAAI 2024 Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning Jinxin Liu, Ziqi Zhang, Zhenyu Wei, Zifeng Zhuang, Yachen Kang, Sibo Gai, Donglin Wang

ICML 2024 DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation Jinxin Liu, Xinghong Guo, Zifeng Zhuang, Donglin Wang

ICLR 2024 KoLA: Carefully Benchmarking World Knowledge of Large Language Models Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Kaifeng Yun, Linlu Gong, Nianyi Lin, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Xu Bin, Jie Tang, Juanzi Li

ICML 2024 Reinformer: Max-Return Sequence Modeling for Offline RL Zifeng Zhuang, Dengyun Peng, Jinxin Liu, Ziqi Zhang, Donglin Wang

NeurIPS 2024 Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs Yao Lai, Jinxin Liu, David Z. Pan, Ping Luo

ICLR 2023 Behavior Proximal Policy Optimization Zifeng Zhuang, Kun Lei, Jinxin Liu, Donglin Wang, Yilang Guo

ICML 2023 Beyond Reward: Offline Preference-Guided Policy Optimization Yachen Kang, Diyuan Shi, Jinxin Liu, Li He, Donglin Wang

NeurIPS 2023 CEIL: Generalized Contextual Imitation Learning Jinxin Liu, Li He, Yachen Kang, Zifeng Zhuang, Donglin Wang, Huazhe Xu

CoRL 2023 CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning Jinxin Liu, Lipeng Zu, Li He, Donglin Wang

ICML 2023 ChiPFormer: Transferable Chip Placement via Offline Decision Transformer Yao Lai, Jinxin Liu, Zhentao Tang, Bin Wang, Jianye Hao, Ping Luo

NeurIPS 2023 Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization Jinxin Liu, Hongyin Zhang, Zifeng Zhuang, Yachen Kang, Donglin Wang, Bin Wang

NeurIPSW 2023 Generation of 3D Realistic Soil Particles with Metaball Descriptor Yifeng Zhao, Jinxin Liu, Xiangbo Gao, Pei Zhang, Stan Z. Li, Sergio Andres Galindo Torres

NeurIPS 2023 Offline Imitation Learning with Variational Counterfactual Reasoning Zexu Sun, Bowei He, Jinxin Liu, Xu Chen, Chen Ma, Shuai Zhang

NeurIPSW 2023 Scalable Particle Generation for Granular Shape Study Yifeng Zhao, Jinxin Liu, Xiangbo Gao, Sergio Torres, Stan Z. Li

ICLR 2022 DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning Jinxin Liu, Zhang Hongyin, Donglin Wang

AAAI 2022 Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning Jinxin Liu, Donglin Wang, Qiangxing Tian, Zhengyu Chen

NeurIPS 2021 Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning Jinxin Liu, Hao Shen, Donglin Wang, Yachen Kang, Qiangxing Tian

IJCAI 2020 Independent Skill Transfer for Deep Reinforcement Learning Qiangxing Tian, Guanchu Wang, Jinxin Liu, Donglin Wang, Yachen Kang