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[By Years]

[By Topics: Standardized composable machine learning; Learning with structured knowledge; Controllable text generation; Healthcare ]

2024

Pandora: Towards General World Model with Natural Language Actions and Video States
Jiannan Xiang, Guangyi Liu, Yi Gu, Qiyue Gao, Yuting Ning, Yuheng Zha, Zeyu Feng, Tianhua Tao, Shibo Hao, Yemin Shi, Zhengzhong Liu, Eric P Xing, Zhiting Hu
arXiv 2024
arXiv / website

LLM360: Towards Fully Transparent Open-Source LLMs
LLM360 Team
COLM 2024
arXiv / website

LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models
Shibo Hao, Yi Gu, Haotian Luo, Tianyang Liu, Xiyan Shao, Xinyuan Wang, Shuhua Xie, Haodi Ma, Adithya Samavedhi, Qiyue Gao, Zhen Wang, Zhiting Hu
COLM 2024
arXiv / website

Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding
Guangyi Liu, Yu Wang, Zeyu Feng, Qiyu Wu, Liping Tang, Yuan Gao, Zhen Li, Shuguang Cui, Julian McAuley, Zichao Yang, Eric P. Xing, Zhiting Hu
ICML 2024
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
NAACL 2024, demo
Best Demo Paper Honorable Mention
arXiv / code

MMToM-QA: Multimodal Theory of Mind Question Answering
Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu
ACL 2024
Outstanding Paper Award
arXiv / website

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

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