2024
Learning Fair Representations via Distance Correlation Minimization.
IEEE Trans. Neural Networks Learn. Syst., February, 2024
Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage Policy Optimization.
CoRR, 2024
Mars-PO: Multi-Agent Reasoning System Preference Optimization.
CoRR, 2024
Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs.
CoRR, 2024
Scalable Weibull Graph Attention Autoencoder for Modeling Document Networks.
CoRR, 2024
Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detection.
CoRR, 2024
Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning.
CoRR, 2024
keqing: knowledge-based question answering is a nature chain-of-thought mentor of LLM.
CoRR, 2024
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Latent Logic Tree Extraction for Event Sequence Explanation from LLMs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Improving Unsupervised Hierarchical Representation With Reinforcement Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Learning Hierarchical Document Graphs From Multilevel Sentence Relations.
IEEE Trans. Neural Networks Learn. Syst., August, 2023
Generative Text Convolutional Neural Network for Hierarchical Document Representation Learning.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023
Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
Infinite Switching Dynamic Probabilistic Network With Bayesian Nonparametric Learning.
IEEE Trans. Signal Process., 2022
Multimodal Weibull Variational Autoencoder for Jointly Modeling Image-Text Data.
IEEE Trans. Cybern., 2022
Ordinal Graph Gamma Belief Network for Social Recommender Systems.
CoRR, 2022
Out-of-Distribution Detection with An Adaptive Likelihood Ratio on Informative Hierarchical VAE.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Alleviating "Posterior Collapse" in Deep Topic Models via Policy Gradient.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
A Variational Edge Partition Model for Supervised Graph Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Knowledge-Aware Bayesian Deep Topic Model.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Bayesian Deep Embedding Topic Meta-Learner.
Proceedings of the International Conference on Machine Learning, 2022
2021
TopicNet: Semantic Graph-Guided Topic Discovery.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network.
Proceedings of the 38th International Conference on Machine Learning, 2021
EnsLM: Ensemble Language Model for Data Diversity by Semantic Clustering.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Variational Temporal Deep Generative Model for Radar HRRP Target Recognition.
IEEE Trans. Signal Process., 2020
The Performance Analysis of Signal Recognition Using Attention Based CNN Method.
IEEE Access, 2020
Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Bidirectional Convolutional Poisson Gamma Dynamical Systems.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Friendly Topic Assistant for Transformer Based Abstractive Summarization.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Learning Dynamic Hierarchical Topic Graph with Graph Convolutional Network for Document Classification.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Convolutional Poisson Gamma Belief Network.
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
Multimodal Poisson Gamma Belief Network.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018