Home Publications [Google Scholar] [By Years] [By Topics: Standardized composable machine learning; Learning with structured knowledge; Controllable text generation; Healthcare ] 2023 Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning Zhiting Hu*, Tianmin Shu* arXiv 2023 arXiv / NeurIPS2023 Tutorial PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization Xinyuan Wang, Chenxi Li, Zhen Wang, Fan Bai, Haotian Luo, Jiayou Zhang, Nebojsa Jojic, Eric P. Xing, Zhiting Hu arXiv 2023 arXiv / code Reasoning with Language Model is Planning with World Model Shibo Hao*, Yi Gu*, Haodi Ma, Joshua Jiahua Hong, Zhen Wang, Daisy Zhe Wang, Zhiting Hu EMNLP 2023 arXiv / code / Library: LLM Reasonsers Composable Text Controls in Latent Space with ODEs Guangyi Liu, Zeyu Feng, Yuan Gao, Zichao Yang, Xiaodan Liang, Junwei Bao, Xiaodong He, Shuguang Cui, Zhen Li, Zhiting Hu EMNLP 2023 arXiv / code Language Models Meet World Models: Embodied Experiences Enhance Language Models Jiannan Xiang, Tianhua Tao, Yi Gu, Tianmin Shu, Zirui Wang, Zichao Yang, Zhiting Hu NeurIPS 2023 arXiv / code ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings Shibo Hao, Tianyang Liu, Zhen Wang, Zhiting Hu NeurIPS 2023, Oral Presentation Best paper on SoCalNLP 2023 Symposium arXiv / code Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer Bowen Tan, Yun Zhu, Lijuan Liu, Eric Xing, Zhiting Hu, Jindong Chen NeurIPS 2023 arXiv coming soon / code coming soon Text Alignment Is An Efficient Unified Model for Massive NLP Tasks Yuheng Zha, Yichi Yang, Ruichen Li, Zhiting Hu NeurIPS 2023 arXiv / code AlignScore: Evaluating Factual Consistency with a Unified Alignment Function Yuheng Zha, Yichi Yang, Ruichen Li, Zhiting Hu ACL 2023 Best paper on ACL2023 DialDoc workshop arXiv / code BertNet: Harvesting Knowledge Graphs from Pretrained Language Models Shibo Hao*, Bowen Tan*, Kaiwen Tang*, Hengzhe Zhang, Eric P Xing, Zhiting Hu ACL 2023 Findings arXiv / code Redco: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs Bowen Tan, Yun Zhu, Lijuan Liu, Hongyi Wang, Yonghao Zhuang, Jindong Chen, Eric Xing, Zhiting Hu arXiv 2023 arXiv / code 2022 Toward A "Standard Model" of Machine Learning Zhiting Hu, Eric P Xing Harvard Data Science Review paper RLPrompt: Optimizing Discrete Text Prompts With Reinforcement Learning Mingkai Deng*, Jianyu Wang*, Cheng-Ping Hsieh*, Yihan Wang, Han Guo, Tianmin Shu, Meng Song, Eric P. Xing, Zhiting Hu EMNLP 2022 arXiv / code Text Generation with Efficient (Soft) Q-Learning Han Guo, Bowen Tan, Zhengzhong Liu, Eric P Xing, Zhiting Hu EMNLP 2022 Findings arXiv / code ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models Jiannan Xiang, Zhengzhong Liu, Yucheng Zhou, Eric P Xing, Zhiting Hu EMNLP 2022 Findings arXiv / code Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation Guangyi Liu, Zichao Yang, Tianhua Tao, Xiaodan Liang, Zhen Li, Bowen Zhou, Shuguang Cui, Zhiting Hu NAACL 2022 arXiv / code Deep learning for text style transfer: A survey Di Jin, Zhijing Jin, Zhiting Hu, Olga Vechtomova, Rada Mihalcea Computational Linguistics 2022 arXiv A survey of knowledge-enhanced text generation Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang ACM Computing Survey 2022 arXiv 2021 Panoramic Learning with A Standardized Machine Learning Formalism Zhiting Hu, Eric P Xing Pre-print 2021 arXiv A Causal Lens for Controllable Text Generation Zhiting Hu, Erran Li NeurIPS 2021 paper/code coming soon Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation Mingkai Deng, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu EMNLP 2021 arXiv / code Progressive Generation of Long Text Bowen Tan, Zichao Yang, Maruan Al-Shedivat, Eric P Xing, Zhiting Hu NAACL 2021 arXiv / code Towards Training AI Agents with All Types of Experiences: A Standardized ML Formalism Zhiting Hu Ph.D. Thesis 2020 Improving GAN Training with Probability Ratio Clipping and Sample Reweighting Yue Wu, Pan Zhou, Andrew Gordon Wilson, Eric P Xing, Zhiting Hu NeurIPS 2020 arXiv / code A Data-Centric Framework for Composable NLP Workflows Zhengzhong Liu, Guanxiong Ding, Avinash Bukkittu, Mansi Gupta, Pengzhi Gao, Atif Ahmed, Shikun Zhang, Xin Gao, Swapnil Singhavi, Linwei Li, Wei Wei, Zecong Hu, Haoran Shi, Xiaodan Liang, Teruko Mitamura, Eric P Xing, Zhiting Hu EMNLP 2020, demo arXiv / GitHub open-source project Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach Bowen Tan, Lianhui Qin, Eric P Xing, Zhiting Hu EMNLP 2020, short arXiv / code Data-to-Text Generation with Style Imitation Shuai Lin, Wentao Wang, Zichao Yang, Xiaodan Liang, Frank Xu, Eric P Xing, Zhiting Hu EMNLP 2020, Findings arXiv / code 2019 Learning Data Manipulation for Augmentation and Weighting Zhiting Hu*, Bowen Tan* (equal contribution), Ruslan Salakhutdinov, Tom Mitchell, Eric P Xing NeurIPS 2019 arXiv / code Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation Zhiting Hu, Haoran Shi, Bowen Tan, Wentao Wang, Zichao Yang, Tiancheng Zhao, Junxian He, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wangrong Zhu, Devendra Singh Sachan, Eric P Xing ACL 2019, Demo, Best Demo Paper Nomination arXiv / slides / Github / website / blog (Texar-TensorFlow) / blog (Texar-PyTorch) / blog (Chinese) Connecting the Dots between MLE and RL for Sequence Generation Zhiting Hu*, Bowen Tan* (equal contribution), Zichao Yang, Ruslan Salakhutdinov, Eric Xing Pre-print 2019, Best paper on ICLR2019 drlStructPred workshop arXiv / code / blog / blog (Chinese) Target-Guided Open-Domain Conversation Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric Xing, Zhiting Hu ACL 2019 arXiv / code Towards Multi-pose Guided Virtual Try-on Network Haoye Dong, Xiaodan Liang, Xiaohui Shen, Bochao Wang, Hanjiang Lai, Jia Zhu, Zhiting Hu, Jian Yin ICCV 2019 arXiv Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric Xing AAAI 2019 arXiv Text Infilling Wanrong Zhu, Zhiting Hu, Eric Xing Pre-print 2019 arXiv / code AutoLoss: Learning Discrete Schedules for Alternate Optimization Haowen Xu, Hao Zhang, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric Xing ICLR 2019 arXiv Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang, Ming Zhang AMIA 2019 Annual Symposium arXiv 2018 Deep Generative Models with Learnable Knowledge Constraints Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Xiaodan Liang, Lianhui Qin, Haoye Dong, Eric Xing NeurIPS 2018 arXiv / slides / poster On Unifying Deep Generative Models Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric Xing ICLR 2018 arXiv / supp / slides / poster / blog / blog (Chinese) Unsupervised Text Style Transfer using Language Models as Discriminators Zichao Yang, Zhiting Hu, Chris Dyer, Eric Xing, Taylor Berg-Kirkpatrick NeurIPS 2018 arXiv Structured Content Preservation for Unsupervised Text Style Transfer Youzhi Tian, Zhiting Hu, Zhou Yu Pre-print 2018 arXiv / code Symbolic Graph Reasoning Meets Convolutions Xiaodan Liang, Zhiting Hu, Eric Xing NeurIPS 2018 Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric Xing NeurIPS 2018 arXiv Neural Memory Streaming Recommender Networks with Adversarial Training Qinyong Wang, Hongzhi Yin, Zhiting Hu, Defu Lian, Hao Wang and Zi Huang KDD 2018 Towards Automated ICD Coding Using Deep Learning Haoran Shi, Pengtao Xie, Zhiting Hu, Ming Zhang, Eric Xing Pre-print 2018 arXiv 2017 Toward Controlled Generation of Text Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, Eric Xing ICML 2017 arXiv / code / supp / slides Efficient Correlated Topic Modeling with Topic Embedding Zhiting Hu*, Junxian He* (equal contribution), Taylor Berg-Kirkpatrick, Ying Huang, Eric Xing KDD 2017 arXiv Improved Variational Autoencoders for Text Modeling using Dilated Convolutions Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov, Taylor Berg-Kirkpatrick ICML 2017, NVAIL Pioneering Research Award arXiv Recurrent Topic-Transition GAN for Visual Paragraph Generation Xiaodan Liang, Zhiting Hu, Hao Zhang, Chuang Gan, Eric Xing ICCV 2017 arXiv Nonparametric Variational Autoencoders for Hierarchical Representation Learning Prasoon Goyal, Zhiting Hu, Xiaodan Liang, Chenyu Wang, Eric Xing ICCV 2017 arXiv Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification Lianhui Qin, Zhisong Zhang, Hai Zhao, Zhiting Hu, Eric Xing ACL 2017 arXiv Dropout with Expectation-Linear Regularization Xuezhe Ma, Yingkai Gao, Zhiting Hu, Yaoliang Yu, Yuntian Deng, Eduard Hovy ICLR 2017 arXiv Neural Machine Translation with Recurrent Attention Modeling Zichao Yang, Zhiting Hu, Yuntian Deng, Chris Dyer, Alex Smola EACL 2017, short arXiv Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric Xing ATC 2017, oral arXiv 2016 Harnessing Deep Neural Networks with Logic Rules Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, Eduard Hovy, Eric Xing ACL 2016, Outstanding Paper Award arXiv / code / supp / slides Deep Neural Networks with Massive Learned Knowledge Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric Xing EMNLP 2016 supp Grounding Topic Models with Knowledge Bases Zhiting Hu, Gang Luo, Mrinmaya Sachan, Eric Xing, Zaiqing Nie IJCAI 2016 supp / slides Stochastic Variational Deep Kernel Learning Zhiting Hu*, Andrew Gordon Wilson* (equal contribution), Ruslan Salakhutdinov, Eric Xing NeurIPS 2016 arXiv Deep Kernel Learning Zhiting Hu*, Andrew Gordon Wilson* (equal contribution), Ruslan Salakhutdinov, Eric Xing AISTATS 2016 arXiv Learning Scalable Deep Kernels with Recurrent Structure Maruan Al-Shedivat, Andrew Gordon Wilson, Yunus Saatchi, Zhiting Hu, Eric Xing JMLR 2016 Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines Hao Zhang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Gunhee Kim, Qirong Ho, Eric Xing ATC 2016 arXiv / code Learning Concept Taxonomies from Multi-modal Data Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric Xing ACL 2016 arXiv Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification Yuezhang Li, Ronghuo Zheng, Tian Tian, Zhiting Hu, Rahul Iyer, Katia Sycara COLING 2016 arXiv Discovering Interpretable Geo-Social Communities for User Behavior Prediction Hongzhi Yin, Zhiting Hu, Xiaofang Zhou, Hao Wang, Kai Zheng, Quoc Viet Hung Nguyen, Shazia Sadiq ICDE 2016 Structured Knowledge Tracing Models for Student Assessment on Coursera Zhuo Wang, Jile Zhu, Xiang Li, Zhiting Hu, Ming Zhang The 3nd annual meeting of the ACM Conference on Learning at Scale (L@S 2016) 2015 Large-scale Distributed Dependent Nonparametric Trees Zhiting Hu, Qirong Ho, Avinava Dubey, Eric Xing ICML 2015 supp / slides Entity Hierarchy Embedding Zhiting Hu, Poyao Huang, Yuntian Deng, Yingkai Gao, Eric Xing ACL 2015 supp / slides Community Level Diffusion Extraction Zhiting Hu, Junjie Yao, Bin Cui, Eric Xing SIGMOD 2015 slides 2014 User Group Oriented Temporal Dynamics Exploration Zhiting Hu, Junjie Yao, Bin Cui AAAI 2014 slides A Temporal Context-Aware Mixture Model for User Behavior Modeling in Social Media Systems Hongzhi Yin, Bin Cui, Lin Chen, Zhiting Hu, Zi Huang SIGMOD 2014 LCARS: A Spatial Item Recommender System Hongzhi Yin, Bin Cui, Zhiting Hu, Yizhou Sun, Ling Chen ACM Transactions on Information Systems (ACM TOIS) 2013 LCARS: A Location-Content-Aware Recommender System Hongzhi Yin, Yizhou Sun, Bin Cui, Zhiting Hu, Ling Chen KDD 2013 slides