Publications
Bold indicates myself. * denotes equal contribution.
Also on Google Scholar.
Under submission
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SQS: Bayesian DNN Compression through Sparse Quantized Sub-distributions
Ziyi Wang, Nan Jiang, Guang Lin, Qifan Song
Preprint
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Approximating Pareto Frontiers in Stochastic Multi-Objective Optimization via Hashing and Randomization
Jinzhao Li, Nan Jiang, Yexiang Xue
Preprint
2026
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EGG-SR: Embedding Symbolic Equivalence into Symbolic Regression via Equality Graph
Nan Jiang, Ziyi Wang, Yexiang Xue
ICLR 2026
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Ultra-Fast Language Generation via Discrete Diffusion Divergence Instruct
Haoyang Zheng, Xinyang Liu, Cindy Xiangrui Kong, Nan Jiang, Zheyuan Hu, Weijian Luo, Wei Deng, Guang Lin
ICLR 2026
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DIVERSED: Relaxed Speculative Decoding via Dynamic Ensemble Verification
Ziyi Wang, Siva Rajesh Kasa, Ankith M S, Santhosh Kumar Kasa, Jiaru Zou, Sumit Negi, Ruqi Zhang, Nan Jiang, Qifan Song
AISTATS 2026
2025
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An Exact Solver for Satisfiability Modulo Counting with Probabilistic Circuits
Jinzhao Li*, Nan Jiang*, Yexiang Xue
ICML 2025
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Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching
Nan Jiang, Md Nasim, Yexiang Xue
AAAI 2025
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PhD Thesis: Integrating Automated Reasoning with Machine Learning for Structured Prediction and Scientific Discovery
Nan Jiang
Purdue University
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Expediting Symbolic Regression for Science Using Scientific Approaches
Md Nasim, Nan Jiang, Yexiang Xue
Book Chapter, Computational Approaches to Scientific Discovery (Springer)
2024
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A Tighter Convergence Proof of Reverse Experience Replay
Nan Jiang, Jinzhao Li, Yexiang Xue
Reinforcement Learning Conference (RLC) 2024
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Vertical Symbolic Regression via Deep Policy Gradient
Nan Jiang, Md Nasim, Yexiang Xue
IJCAI 2024
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Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees
Jinzhao Li, Nan Jiang, Yexiang Xue
AAAI 2024
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Racing Control Variable Genetic Programming for Symbolic Regression
Nan Jiang, Yexiang Xue
AAAI 2024
2023
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Symbolic Regression via Control Variable Genetic Programming
Nan Jiang, Yexiang Xue
ECML-PKDD 2023
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Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma
Nan Jiang*, Yi Gu*, Yexiang Xue
AAAI 2023
2022
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Constraint Reasoning Embedded Structured Prediction
Nan Jiang, Maosen Zhang, Willem-Jan van Hoeve, Yexiang Xue
JMLR 2022
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Massive Text Normalization via an Efficient Randomized Algorithm
Nan Jiang, Chen Luo, Vihan Lakshman, Yesh Dattatreya, Yexiang Xue
TheWebConf 2022
2021
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PALM: Probabilistic Area Loss Minimization for Protein Sequence Alignment
Fan Ding*, Nan Jiang*, Jianzhu Ma, Jian Peng, Jinbo Xu, Yexiang Xue
UAI 2021
2020
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Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach
Maosen Zhang, Nan Jiang, Lei Li, Yexiang Xue
Findings of EMNLP 2020
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A dual channel class hierarchy-based recurrent language modeling
Libin Shi, Wenge Rong, Shijie Zhou, Nan Jiang, Zhang Xiong
Neurocomputing 2020
2018
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LSDSCC: A Large Scale Domain-Specific Conversational Corpus for Response Generation with Diversity Oriented Evaluation Metrics
Zhen Xu, Nan Jiang, et al.
NAACL-HLT 2018
2017
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Exploration of Tree-based Hierarchical Softmax for Recurrent Language Models
Nan Jiang, Wenge Rong, Min Gao, Yikang Shen, Zhang Xiong
IJCAI 2017
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Biological Event Trigger Identification with Noise Contrastive Estimation
Nan Jiang, Wenge Rong, Yifan Nie, Yikang Shen, Zhang Xiong
IEEE/ACM Transactions on Computational Biology and Bioinformatics 2017
2015
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An Empirical Analysis of Different Sparse Penalties for Autoencoder in Unsupervised Feature Learning
Nan Jiang, Wenge Rong, Baolin Peng, Yifan Nie, Zhang Xiong
IJCNN 2015