Multimodal Poisson Gamma Belief Network. - Chaojie Wang 001; Bo Chen 001; Mingyuan Zhou (AAAI, 2018)

Convolutional Poisson Gamma Belief Network. - Chaojie Wang 001; Bo Chen 001; Sucheng Xiao; Mingyuan Zhou (ICML, 2019)

Learning Dynamic Hierarchical Topic Graph with Graph Convolutional Network for Document Classification. - Zhengjue Wang; Chaojie Wang 001; Hao Zhang 050; Zhibin Duan; Mingyuan Zhou; Bo Chen 001 (AISTATS, 2020)

Friendly Topic Assistant for Transformer Based Abstractive Summarization. - Zhengjue Wang; Zhibin Duan; Hao Zhang 050; Chaojie Wang 001; Long Tian; Bo Chen 001; Mingyuan Zhou (EMNLP (1), 2020)

Bidirectional Convolutional Poisson Gamma Dynamical Systems. - Wenchao Chen; Chaojie Wang 001; Bo Chen 001; Yicheng Liu; Hao Zhang 050; Mingyuan Zhou (NeurIPS, 2020)

Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network. - Chaojie Wang 001; Hao Zhang 050; Bo Chen 001; Dongsheng Wang 003; Zhengjue Wang; Mingyuan Zhou (NeurIPS, 2020)

The Performance Analysis of Signal Recognition Using Attention Based CNN Method. - Zan Yin; Bo Chen 001; Weimin Zhen; Chaojie Wang 001; Ting Zhang (IEEE Access, 2020)

Variational Temporal Deep Generative Model for Radar HRRP Target Recognition. - Dandan Guo; Bo Chen 001; Wenchao Chen; Chaojie Wang 001; Hongwei Liu 001; Mingyuan Zhou (IEEE Trans. Signal Process., 2020)

EnsLM: Ensemble Language Model for Data Diversity by Semantic Clustering. - Zhibin Duan; Hao Zhang 050; Chaojie Wang 001; Zhengjue Wang; Bo Chen 001; Mingyuan Zhou (ACL/IJCNLP (1), 2021)

Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network. - Zhibin Duan; Dongsheng Wang 003; Bo Chen 001; Chaojie Wang 001; Wenchao Chen; Yewen Li; Jie Ren; Mingyuan Zhou (ICML, 2021)

TopicNet: Semantic Graph-Guided Topic Discovery. - Zhibin Duan; Yishi Xu; Bo Chen 001; Dongsheng Wang 003; Chaojie Wang 001; Mingyuan Zhou (NeurIPS, 2021)

Bayesian Deep Embedding Topic Meta-Learner. - Zhibin Duan; Yishi Xu; Jianqiao Sun; Bo Chen 001; Wenchao Chen; Chaojie Wang 001; Mingyuan Zhou (ICML, 2022)

Knowledge-Aware Bayesian Deep Topic Model. - Dongsheng Wang 003; Yishi Xu; Miaoge Li; Zhibin Duan; Chaojie Wang 001; Bo Chen 001; Mingyuan Zhou (NeurIPS, 2022)

A Variational Edge Partition Model for Supervised Graph Representation Learning. - Yilin He; Chaojie Wang 001; Hao Zhang 050; Bo Chen 001; Mingyuan Zhou (NeurIPS, 2022)

Alleviating "Posterior Collapse" in Deep Topic Models via Policy Gradient. - Yewen Li; Chaojie Wang 001; Zhibin Duan; Dongsheng Wang 003; Bo Chen 001; Bo An 001; Mingyuan Zhou (NeurIPS, 2022)

Out-of-Distribution Detection with An Adaptive Likelihood Ratio on Informative Hierarchical VAE. - Yewen Li; Chaojie Wang 001; Xiaobo Xia; Tongliang Liu; Xin Miao; Bo An 001 (NeurIPS, 2022)

Ordinal Graph Gamma Belief Network for Social Recommender Systems. - Dongsheng Wang 003; Chaojie Wang 001; Bo Chen 001; Mingyuan Zhou (CoRR, 2022)

Multimodal Weibull Variational Autoencoder for Jointly Modeling Image-Text Data. - Chaojie Wang 001; Bo Chen 001; Sucheng Xiao; Zhengjue Wang; Hao Zhang 050; Penghui Wang; Ning Han; Mingyuan Zhou (IEEE Trans. Cybern., 2022)

Infinite Switching Dynamic Probabilistic Network With Bayesian Nonparametric Learning. - Wenchao Chen; Bo Chen 001; Yicheng Liu; Chaojie Wang 001; Xiaojun Peng; Hongwei Liu 001; Mingyuan Zhou (IEEE Trans. Signal Process., 2022)

Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory. - Zhibin Duan; Zhiyi Lv; Chaojie Wang 001; Bo Chen 001; Bo An 001; Mingyuan Zhou (NeurIPS, 2023)

Generative Text Convolutional Neural Network for Hierarchical Document Representation Learning. - Chaojie Wang 001; Bo Chen 001; Zhibin Duan; Wenchao Chen; Hao Zhang 050; Mingyuan Zhou (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Learning Hierarchical Document Graphs From Multilevel Sentence Relations. - Hao Zhang 050; Chaojie Wang 001; Zhengjue Wang; Zhibin Duan; Bo Chen 001; Mingyuan Zhou; Ricardo Henao; Lawrence Carin (IEEE Trans. Neural Networks Learn. Syst., 2023)

Improving Unsupervised Hierarchical Representation With Reinforcement Learning. - Ruyi An; Yewen Li; Xu He; Pengjie Gu; Mengchen Zhao; Dong Li 016; Jianye Hao; Chaojie Wang 001; Bo An 001; Mingyuan Zhou (CVPR, 2024)

Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning. - Shuo He 001; Chaojie Wang 001; Guowu Yang; Lei Feng 006 (ICLR, 2024)

Latent Logic Tree Extraction for Event Sequence Explanation from LLMs. - Zitao Song; Chao Yang; Chaojie Wang 001; Bo An 001; Shuang Li 002 (ICML, 2024)

MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading. - Chuqiao Zong; Chaojie Wang 001; Molei Qin; Lei Feng 006; Xinrun Wang; Bo An 001 (KDD, 2024)

keqing: knowledge-based question answering is a nature chain-of-thought mentor of LLM. - Chaojie Wang 001; Yishi Xu; Zhong Peng; Chenxi Zhang; Bo Chen 001; Xinrun Wang; Lei Feng 006; Bo An 001 (CoRR, 2024)

Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning. - Chaojie Wang 001; Yanchen Deng; Zhiyi Lv; Zeng Liang; Jujie He; Shuicheng Yan; Bo An 001 (CoRR, 2024)

Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detection. - Yewen Li; Chaojie Wang 001; Xiaobo Xia; Xu He; Ruyi An; Dong Li 016; Tongliang Liu; Bo An 001; Xinrun Wang (CoRR, 2024)

Scalable Weibull Graph Attention Autoencoder for Modeling Document Networks. - Chaojie Wang 001; Xinyang Liu; Dongsheng Wang 003; Hao Zhang 050; Bo Chen 001; Mingyuan Zhou (CoRR, 2024)

Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs. - Chris Yuhao Liu; Liang Zeng; Jiacai Liu; Rui Yan; Jujie He; Chaojie Wang 001; Shuicheng Yan; Yang Liu 084; Yahui Zhou (CoRR, 2024)

Mars-PO: Multi-Agent Reasoning System Preference Optimization. - Xiaoxuan Lou; Chaojie Wang 001; Bo An 001 (CoRR, 2024)

Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage Policy Optimization. - Jiacai Liu; Chaojie Wang 001; Chris Yuhao Liu; Liang Zeng; Rui Yan; Yiwen Sun; Yang Liu 084; Yahui Zhou (CoRR, 2024)

Learning Fair Representations via Distance Correlation Minimization. - Dandan Guo; Chaojie Wang 001; Baoxiang Wang 001; Hongyuan Zha (IEEE Trans. Neural Networks Learn. Syst., 2024)

Removing Prompt-template Bias in Reinforcement Learning from Human Feedback. - Chaojie Wang 001; Haonan Shi; Long Tian; Bo An 001; Shuicheng Yan (ACL (Findings), 2025)

Skywork Open Reasoner 1 Technical Report. - Jujie He; Jiacai Liu; Chris Yuhao Liu; Rui Yan; Chaojie Wang 001; Peng Cheng; Xiaoyu Zhang; Fuxiang Zhang; Jiacheng Xu; Wei Shen; Siyuan Li 003; Liang Zeng; et al. (CoRR, 2025)

Incentivizing LLMs to Self-Verify Their Answers. - Fuxiang Zhang; Jiacheng Xu; Chaojie Wang 001; Ce Cui; Yang Liu 084; Bo An 001 (CoRR, 2025)