Wang, Chaojie

22 publications

ICML 2025 Cradle: Empowering Foundation Agents Towards General Computer Control Weihao Tan, Wentao Zhang, Xinrun Xu, Haochong Xia, Ziluo Ding, Boyu Li, Bohan Zhou, Junpeng Yue, Jiechuan Jiang, Yewen Li, Ruyi An, Molei Qin, Chuqiao Zong, Longtao Zheng, Yujie Wu, Xiaoqiang Chai, Yifei Bi, Tianbao Xie, Pengjie Gu, Xiyun Li, Ceyao Zhang, Long Tian, Chaojie Wang, Xinrun Wang, Börje F. Karlsson, Bo An, Shuicheng Yan, Zongqing Lu

NeurIPS 2025 DAPO : Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage-Based Policy Optimization Jiacai Liu, Chaojie Wang, Chris Yuhao Liu, Liang Zeng, Rui Yan, Yiwen Sun, Yang Liu

NeurIPS 2025 Incentivizing LLMs to Self-Verify Their Answers Fuxiang Zhang, Jiacheng Xu, Chaojie Wang, Ce Cui, Yang Liu, Bo An

ICLR 2024 Candidate Label Set Pruning: A Data-Centric Perspective for Deep Partial-Label Learning Shuo He, Chaojie Wang, Guowu Yang, Lei Feng

NeurIPSW 2024 Cradle: Empowering Foundation Agents Towards General Computer Control Weihao Tan, Wentao Zhang, Xinrun Xu, Haochong Xia, Gang Ding, Boyu Li, Bohan Zhou, Junpeng Yue, Jiechuan Jiang, Yewen Li, Ruyi An, Molei Qin, Chuqiao Zong, Longtao Zheng, YuJie Wu, Xiaoqiang Chai, Yifei Bi, Tianbao Xie, Pengjie Gu, Xiyun Li, Ceyao Zhang, Long Tian, Chaojie Wang, Xinrun Wang, Börje F. Karlsson, Bo An, Shuicheng Yan, Zongqing Lu

CVPR 2024 Improving Unsupervised Hierarchical Representation with Reinforcement Learning Ruyi An, Yewen Li, Xu He, Pengjie Gu, Mengchen Zhao, Dong Li, Jianye Hao, Chaojie Wang, Bo An, Mingyuan Zhou

ICML 2024 Latent Logic Tree Extraction for Event Sequence Explanation from LLMs Zitao Song, Chao Yang, Chaojie Wang, Bo An, Shuang Li

NeurIPS 2023 Few-Shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory Zhibin Duan, Zhiyi Lv, Chaojie Wang, Bo Chen, Bo An, Mingyuan Zhou

NeurIPS 2022 A Variational Edge Partition Model for Supervised Graph Representation Learning Yilin He, Chaojie Wang, Hao Zhang, Bo Chen, Mingyuan Zhou

NeurIPS 2022 Alleviating "Posterior Collapse'' in Deep Topic Models via Policy Gradient Yewen Li, Chaojie Wang, Zhibin Duan, Dongsheng Wang, Bo Chen, Bo An, Mingyuan Zhou

ICML 2022 Bayesian Deep Embedding Topic Meta-Learner Zhibin Duan, Yishi Xu, Jianqiao Sun, Bo Chen, Wenchao Chen, Chaojie Wang, Mingyuan Zhou

MLJ 2022 High-Dimensional Correlation Matrix Estimation for General Continuous Data with Bagging Technique Chaojie Wang, Jin Du, Xiaodan Fan

NeurIPS 2022 Knowledge-Aware Bayesian Deep Topic Model Dongsheng Wang, Yi.shi Xu, Miaoge Li, Zhibin Duan, Chaojie Wang, Bo Chen, Mingyuan Zhou

NeurIPS 2022 Out-of-Distribution Detection with an Adaptive Likelihood Ratio on Informative Hierarchical VAE Yewen Li, Chaojie Wang, Xiaobo Xia, Tongliang Liu, Xin Miao, Bo An

AAAI 2021 Leveraging Table Content for Zero-Shot Text-to-SQL with Meta-Learning Yongrui Chen, Xinnan Guo, Chaojie Wang, Jian Qiu, Guilin Qi, Meng Wang, Huiying Li

ICML 2021 Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network Zhibin Duan, Dongsheng Wang, Bo Chen, Chaojie Wang, Wenchao Chen, Yewen Li, Jie Ren, Mingyuan Zhou

NeurIPS 2021 TopicNet: Semantic Graph-Guided Topic Discovery Zhibin Duan, Yi.shi Xu, Bo Chen, Dongsheng Wang, Chaojie Wang, Mingyuan Zhou

NeurIPS 2020 Bidirectional Convolutional Poisson Gamma Dynamical Systems Wenchao Chen, Chaojie Wang, Bo Chen, Yicheng Liu, Hao Zhang, Mingyuan Zhou

NeurIPS 2020 Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network Chaojie Wang, Hao Zhang, Bo Chen, Dongsheng Wang, Zhengjue Wang, Mingyuan Zhou

AISTATS 2020 Learning Dynamic Hierarchical Topic Graph with Graph Convolutional Network for Document Classification Zhengjue Wang, Chaojie Wang, Hao Zhang, Zhibin Duan, Mingyuan Zhou, Bo Chen

ICML 2019 Convolutional Poisson Gamma Belief Network Chaojie Wang, Bo Chen, Sucheng Xiao, Mingyuan Zhou

AAAI 2018 Multimodal Poisson Gamma Belief Network Chaojie Wang, Bo Chen, Mingyuan Zhou