Zhiting Hu

According to our database, Zhiting Hu authored at least 99 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

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

CoRR, 2024

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

CoRR, 2024

Generating, Reconstructing, and Representing Discrete and Continuous Data: Generalized Diffusion with Learnable Encoding-Decoding.

Guangyi Liu, Yu Wang, Zeyu Feng, Qiyu Wu, Liping Tang, Yuan Gao, Zhen Li, Shuguang Cui, Julian J. McAuley, Eric P. Xing, Zichao Yang, Zhiting Hu

CoRR, 2024

RedCoast: 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 P. Xing, Zhiting Hu

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, 2024

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 J. McAuley, Zichao Yang, Eric P. Xing, Zhiting Hu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models.

Somanshu Singla, Zhen Wang, Tianyang Liu, Abdullah Ashfaq, Zhiting Hu, Eric P. Xing

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language Models.

Xinyu Pi, Mingyuan Wu, Jize Jiang, Haozhen Zheng, Beitong Tian, ChengXiang Zhai, Klara Nahrstedt, Zhiting Hu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MMToM-QA: Multimodal Theory of Mind Question Answering.

Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Neural-Symbolic Interaction and Co-Evolving.

Bowen Tan, Shibo Hao, Eric P. Xing, Zhiting Hu

Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

LLM360: Towards Fully Transparent Open-Source LLMs.

Zhengzhong Liu, Aurick Qiao, Willie Neiswanger, Hongyi Wang, Bowen Tan, Tianhua Tao, Junbo Li, Yuqi Wang, Suqi Sun, Omkar Pangarkar, Richard Fan, Yi Gu, Victor Miller, Yonghao Zhuang, Guowei He, Haonan Li, Fajri Koto, Liping Tang, Nikhil Ranjan, Zhiqiang Shen, Xuguang Ren, Roberto Iriondo, Cun Mu, Zhiting Hu, Mark Schulze, Preslav Nakov, Tim Baldwin, Eric P. Xing

CoRR, 2023

Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning.

Zhiting Hu, Tianmin Shu

CoRR, 2023

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 P. Xing, Zhiting Hu

CoRR, 2023

ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings.

Shibo Hao, Tianyang Liu, Zhen Wang, Zhiting Hu

CoRR, 2023

Text Alignment Is An Efficient Unified Model for Massive NLP Tasks.

Yuheng Zha, Yichi Yang, Ruichen Li, Zhiting Hu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Language Models Meet World Models: Embodied Experiences Enhance Language Models.

Jiannan Xiang, Tianhua Tao, Yi Gu, Tianmin Shu, Zirui Wang, Zichao Yang, Zhiting Hu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer.

Bowen Tan, Yun Zhu, Lijuan Liu, Eric P. Xing, Zhiting Hu, Jindong Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings.

Shibo Hao, Tianyang Liu, Zhen Wang, Zhiting Hu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

AlignScore: Evaluating Factual Consistency with A Unified Alignment Function.

Yuheng Zha, Yichi Yang, Ruichen Li, Zhiting Hu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

BertNet: Harvesting Knowledge Graphs with Arbitrary Relations from Pretrained Language Models.

Shibo Hao, Bowen Tan, Kaiwen Tang, Bin Ni, Xiyan Shao, Hengzhe Zhang, Eric P. Xing, Zhiting Hu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

A Survey of Knowledge-enhanced Text Generation.

Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang

ACM Comput. Surv., January, 2022

Towards Training AI Agents with All Types of Experiences: A Standardized ML Formalism.

Zhiting Hu

PhD thesis, 2022

elBERto: Self-supervised commonsense learning for question answering.

Xunlin Zhan, Yuan Li, Xiao Dong, Xiaodan Liang, Zhiting Hu, Lawrence Carin

Knowl. Based Syst., 2022

Composable Text Control Operations in Latent Space with Ordinary Differential Equations.

Guangyi Liu, Zeyu Feng, Yuan Gao, Zichao Yang, Xiaodan Liang, Junwei Bao, Xiaodong He, Shuguang Cui, Zhen Li, Zhiting Hu

CoRR, 2022

BertNet: Harvesting Knowledge Graphs from Pretrained Language Models.

Shibo Hao, Bowen Tan, Kaiwen Tang, Hengzhe Zhang, Eric P. Xing, Zhiting Hu

CoRR, 2022

Deep Learning for Text Style Transfer: A Survey.

Di Jin, Zhijing Jin, Zhiting Hu, Olga Vechtomova, Rada Mihalcea

Comput. Linguistics, 2022

Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation.

Guangyi Liu, Zichao Yang, Tianhua Tao, Xiaodan Liang, Junwei Bao, Zhen Li, Xiaodong He, Shuguang Cui, Zhiting Hu

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models.

Jiannan Xiang, Zhengzhong Liu, Yucheng Zhou, Eric P. Xing, Zhiting Hu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Efficient (Soft) Q-Learning for Text Generation with Limited Good Data.

Han Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Panoramic Learning with A Standardized Machine Learning Formalism.

Zhiting Hu, Eric P. Xing

CoRR, 2021

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

CoRR, 2021

Text Generation with Efficient (Soft) Q-Learning.

Han Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu

CoRR, 2021

A Causal Lens for Controllable Text Generation.

Zhiting Hu, Li Erran Li

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Progressive Generation of Long Text with Pretrained Language Models.

Bowen Tan, Zichao Yang, Maruan Al-Shedivat, Eric P. Xing, Zhiting Hu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation.

Mingkai Deng, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Progressive Generation of Long Text.

Bowen Tan, Zichao Yang, Maruan Al-Shedivat, Eric P. Xing, Zhiting Hu

CoRR, 2020

Improving GAN Training with Probability Ratio Clipping and Sample Reweighting.

Yue Wu, Pan Zhou, Andrew Gordon Wilson, Eric P. Xing, Zhiting Hu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning from All Types of Experiences: A Unifying Machine Learning Perspective.

Zhiting Hu, Eric P. Xing

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach.

Bowen Tan, Lianhui Qin, Eric P. Xing, Zhiting Hu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

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

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

Record-to-Text Generation with Style Imitation.

Shuai Lin, Wentao Wang, Zichao Yang, Xiaodan Liang, Frank F. Xu, Eric P. Xing, Zhiting Hu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Toward Unsupervised Text Content Manipulation.

Wentao Wang, Zhiting Hu, Zichao Yang, Haoran Shi, Frank F. Xu, Eric P. Xing

CoRR, 2019

Text Infilling.

Wanrong Zhu, Zhiting Hu, Eric P. Xing

CoRR, 2019

Learning Data Manipulation for Augmentation and Weighting.

Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov, Tom M. Mitchell, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

AutoLoss: Learning Discrete Schedule for Alternate Optimization.

Haowen Xu, Hao Zhang, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing

Proceedings of the 7th International Conference on Learning Representations, 2019

Connecting the Dots Between MLE and RL for Sequence Generation.

Bowen Tan, Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing

Proceedings of the Deep Reinforcement Learning Meets Structured Prediction, 2019

Towards Multi-Pose Guided Virtual Try-On Network.

Haoye Dong, Xiaodan Liang, Xiaohui Shen, Bochao Wang, Hanjiang Lai, Jia Zhu, Zhiting Hu, Jian Yin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

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

Proceedings of the AMIA 2019, 2019

Target-Guided Open-Domain Conversation.

Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

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, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation.

Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Structured Content Preservation for Unsupervised Text Style Transfer.

Youzhi Tian, Zhiting Hu, Zhou Yu

CoRR, 2018

AutoLoss: Learning Discrete Schedules for Alternate Optimization.

Haowen Xu, Hao Zhang, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing

CoRR, 2018

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation.

Zhiting Hu, Haoran Shi, Zichao Yang, Bowen Tan, Tiancheng Zhao, Junxian He, Wentao Wang, Xingjiang Yu, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing

CoRR, 2018

Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation.

Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing

CoRR, 2018

Unsupervised Text Style Transfer using Language Models as Discriminators.

Zichao Yang, Zhiting Hu, Chris Dyer, Eric P. Xing, Taylor Berg-Kirkpatrick

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Symbolic Graph Reasoning Meets Convolutions.

Xiaodan Liang, Zhiting Hu, Hao Zhang, Liang Lin, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation.

Yuan Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Deep Generative Models with Learnable Knowledge Constraints.

Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Lianhui Qin, Xiaodan Liang, Haoye Dong, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Neural Memory Streaming Recommender Networks with Adversarial Training.

Qinyong Wang, Hongzhi Yin, Zhiting Hu, Defu Lian, Hao Wang, Zi Huang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

On Unifying Deep Generative Models.

Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing

Proceedings of the 6th International Conference on Learning Representations, 2018

Automatic Article Commenting: the Task and Dataset.

Lianhui Qin, Lemao Liu, Victoria Bi, Yan Wang, Xiaojiang Liu, Zhiting Hu, Hai Zhao, Shuming Shi

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Learning Scalable Deep Kernels with Recurrent Structure.

Maruan Al-Shedivat, Andrew Gordon Wilson, Yunus Saatchi, Zhiting Hu, Eric P. Xing

J. Mach. Learn. Res., 2017

Towards Automated ICD Coding Using Deep Learning.

Haoran Shi, Pengtao Xie, Zhiting Hu, Ming Zhang, Eric P. Xing

CoRR, 2017

Controllable Text Generation.

Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing

CoRR, 2017

Nonparametric Variational Auto-encoders for Hierarchical Representation Learning.

Prasoon Goyal, Zhiting Hu, Xiaodan Liang, Chenyu Wang, Eric P. Xing

CoRR, 2017

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 P. Xing

Proceedings of the 2017 USENIX Annual Technical Conference, 2017

Efficient Correlated Topic Modeling with Topic Embedding.

Junxian He, Zhiting Hu, Taylor Berg-Kirkpatrick, Ying Huang, Eric P. Xing

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Improved Variational Autoencoders for Text Modeling using Dilated Convolutions.

Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov, Taylor Berg-Kirkpatrick

Proceedings of the 34th International Conference on Machine Learning, 2017

Toward Controlled Generation of Text.

Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing

Proceedings of the 34th International Conference on Machine Learning, 2017

Dropout with Expectation-linear Regularization.

Xuezhe Ma, Yingkai Gao, Zhiting Hu, Yaoliang Yu, Yuntian Deng, Eduard H. Hovy

Proceedings of the 5th International Conference on Learning Representations, 2017

Recurrent Topic-Transition GAN for Visual Paragraph Generation.

Xiaodan Liang, Zhiting Hu, Hao Zhang, Chuang Gan, Eric P. Xing

Proceedings of the IEEE International Conference on Computer Vision, 2017

Nonparametric Variational Auto-Encoders for Hierarchical Representation Learning.

Prasoon Goyal, Zhiting Hu, Xiaodan Liang, Chenyu Wang, Eric P. Xing, Carnegie Mellon

Proceedings of the IEEE International Conference on Computer Vision, 2017

Neural Machine Translation with Recurrent Attention Modeling.

Zichao Yang, Zhiting Hu, Yuntian Deng, Chris Dyer, Alexander J. Smola

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification.

Lianhui Qin, Zhisong Zhang, Hai Zhao, Zhiting Hu, Eric P. Xing

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Joint Embeddings of Hierarchical Categories and Entities.

Yuezhang Li, Ronghuo Zheng, Tian Tian, Zhiting Hu, Rahul Iyer, Katia P. Sycara

CoRR, 2016

Stochastic Variational Deep Kernel Learning.

Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Structured Knowledge Tracing Models for Student Assessment on Coursera.

Zhuo Wang, Jile Zhu, Xiang Li, Zhiting Hu, Ming Zhang

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Grounding Topic Models with Knowledge Bases.

Zhiting Hu, Gang Luo, Mrinmaya Sachan, Eric P. Xing, Zaiqing Nie

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Discovering interpretable geo-social communities for user behavior prediction.

Hongzhi Yin, Zhiting Hu, Xiaofang Zhou, Hao Wang, Kai Zheng, Nguyen Quoc Viet Hung, Shazia Wasim Sadiq

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Deep Neural Networks with Massive Learned Knowledge.

Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification.

Yuezhang Li, Ronghuo Zheng, Tian Tian, Zhiting Hu, Rahul Iyer, Katia P. Sycara

Proceedings of the COLING 2016, 2016

Deep Kernel Learning.

Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov, Eric P. Xing

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Learning Concept Taxonomies from Multi-modal Data.

Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Harnessing Deep Neural Networks with Logic Rules.

Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, Eduard H. Hovy, Eric P. Xing

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Dynamic User Modeling in Social Media Systems.

Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Xiaofang Zhou

ACM Trans. Inf. Syst., 2015

Modeling Location-Based User Rating Profiles for Personalized Recommendation.

Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Chengqi Zhang

ACM Trans. Knowl. Discov. Data, 2015

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 P. Xing

CoRR, 2015

Community Level Diffusion Extraction.

Zhiting Hu, Junjie Yao, Bin Cui, Eric P. Xing

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Large-scale Distributed Dependent Nonparametric Trees.

Zhiting Hu, Qirong Ho, Avinava Dubey, Eric P. Xing

Proceedings of the 32nd International Conference on Machine Learning, 2015

Entity Hierarchy Embedding.

Zhiting Hu, Poyao Huang, Yuntian Deng, Yingkai Gao, Eric P. Xing

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

LCARS: A Spatial Item Recommender System.

Hongzhi Yin, Bin Cui, Yizhou Sun, Zhiting Hu, Ling Chen

ACM Trans. Inf. Syst., 2014

A temporal context-aware model for user behavior modeling in social media systems.

Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Zi Huang

Proceedings of the International Conference on Management of Data, 2014

User Group Oriented Temporal Dynamics Exploration.

Zhiting Hu, Junjie Yao, Bin Cui

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Community Specific Temporal Topic Discovery from Social Media.

Zhiting Hu, Chong Wang, Junjie Yao, Eric P. Xing, Hongzhi Yin, Bin Cui

CoRR, 2013

LCARS: a location-content-aware recommender system.

Hongzhi Yin, Yizhou Sun, Bin Cui, Zhiting Hu, Ling Chen

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013