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2020 – today
- 2024
- [c65]Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu:
MMToM-QA: Multimodal Theory of Mind Question Answering. ACL (1) 2024: 16077-16102 - [c64]Xinyu Pi, Mingyuan Wu, Jize Jiang, Haozhen Zheng, Beitong Tian, ChengXiang Zhai, Klara Nahrstedt, Zhiting Hu:
UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language Models. EMNLP 2024: 6432-6441 - [c63]Somanshu Singla, Zhen Wang, Tianyang Liu, Abdullah Ashfaq, Zhiting Hu, Eric P. Xing:
Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models. EMNLP 2024: 21889-21909 - [c62]Xinyuan Wang, Chenxi Li, Zhen Wang, Fan Bai, Haotian Luo, Jiayou Zhang, Nebojsa Jojic, Eric P. Xing, Zhiting Hu:
PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization. ICLR 2024 - [c61]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:
Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding. ICML 2024 - [c60]Bowen Tan, Yun Zhu, Lijuan Liu, Hongyi Wang, Yonghao Zhuang, Jindong Chen, Eric P. Xing, Zhiting Hu:
RedCoast: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs. NAACL (Demonstrations) 2024: 137-147 - [i65]Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu:
MMToM-QA: Multimodal Theory of Mind Question Answering. CoRR abs/2401.08743 (2024) - [i64]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:
Generating, Reconstructing, and Representing Discrete and Continuous Data: Generalized Diffusion with Learnable Encoding-Decoding. CoRR abs/2402.19009 (2024) - [i63]Shibo Hao, Yi Gu, Haotian Luo, Tianyang Liu, Xiyan Shao, Xinyuan Wang, Shuhua Xie, Haodi Ma, Adithya Samavedhi, Qiyue Gao, Zhen Wang, Zhiting Hu:
LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models. CoRR abs/2404.05221 (2024) - [i62]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:
Pandora: Towards General World Model with Natural Language Actions and Video States. CoRR abs/2406.09455 (2024) - [i61]Xinyu Pi, Mingyuan Wu, Jize Jiang, Haozhen Zheng, Beitong Tian, Chengxiang Zhai, Klara Nahrstedt, Zhiting Hu:
UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language Models. CoRR abs/2407.18391 (2024) - 2023
- [c59]Shibo Hao, Bowen Tan, Kaiwen Tang, Bin Ni, Xiyan Shao, Hengzhe Zhang, Eric P. Xing, Zhiting Hu:
BertNet: Harvesting Knowledge Graphs with Arbitrary Relations from Pretrained Language Models. ACL (Findings) 2023: 5000-5015 - [c58]Yuheng Zha, Yichi Yang, Ruichen Li, Zhiting Hu:
AlignScore: Evaluating Factual Consistency with A Unified Alignment Function. ACL (1) 2023: 11328-11348 - [c57]Shibo Hao, Yi Gu, Haodi Ma, Joshua Jiahua Hong, Zhen Wang, Daisy Zhe Wang, Zhiting Hu:
Reasoning with Language Model is Planning with World Model. EMNLP 2023: 8154-8173 - [c56]Guangyi Liu, Zeyu Feng, Yuan Gao, Zichao Yang, Xiaodan Liang, Junwei Bao, Xiaodong He, Shuguang Cui, Zhen Li, Zhiting Hu:
Composable Text Controls in Latent Space with ODEs. EMNLP 2023: 16543-16570 - [c55]Shibo Hao, Tianyang Liu, Zhen Wang, Zhiting Hu:
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings. NeurIPS 2023 - [c54]Bowen Tan, Yun Zhu, Lijuan Liu, Eric P. Xing, Zhiting Hu, Jindong Chen:
Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer. NeurIPS 2023 - [c53]Jiannan Xiang, Tianhua Tao, Yi Gu, Tianmin Shu, Zirui Wang, Zichao Yang, Zhiting Hu:
Language Models Meet World Models: Embodied Experiences Enhance Language Models. NeurIPS 2023 - [c52]Yuheng Zha, Yichi Yang, Ruichen Li, Zhiting Hu:
Text Alignment Is An Efficient Unified Model for Massive NLP Tasks. NeurIPS 2023 - [p1]Bowen Tan, Shibo Hao, Eric P. Xing, Zhiting Hu:
Neural-Symbolic Interaction and Co-Evolving. Compendium of Neurosymbolic Artificial Intelligence 2023: 125-152 - [i60]Jiannan Xiang, Tianhua Tao, Yi Gu, Tianmin Shu, Zirui Wang, Zichao Yang, Zhiting Hu:
Language Models Meet World Models: Embodied Experiences Enhance Language Models. CoRR abs/2305.10626 (2023) - [i59]Shibo Hao, Tianyang Liu
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings. CoRR abs/2305.11554 (2023) - [i58]Shibo Hao, Yi Gu, Haodi Ma, Joshua Jiahua Hong, Zhen Wang, Daisy Zhe Wang, Zhiting Hu:
Reasoning with Language Model is Planning with World Model. CoRR abs/2305.14992 (2023) - [i57]Yuheng Zha, Yichi Yang, Ruichen Li, Zhiting Hu:
AlignScore: Evaluating Factual Consistency with a Unified Alignment Function. CoRR abs/2305.16739 (2023) - [i56]Yuheng Zha, Yichi Yang, Ruichen Li, Zhiting Hu:
Text Alignment Is An Efficient Unified Model for Massive NLP Tasks. CoRR abs/2307.02729 (2023) - [i55]Bowen Tan, Yun Zhu, Lijuan Liu, Hongyi Wang, Yonghao Zhuang, Jindong Chen, Eric P. Xing, Zhiting Hu:
Redco: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs. CoRR abs/2310.16355 (2023) - [i54]Xinyuan Wang, Chenxi Li, Zhen Wang, Fan Bai, Haotian Luo, Jiayou Zhang, Nebojsa Jojic, Eric P. Xing, Zhiting Hu:
PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization. CoRR abs/2310.16427 (2023) - [i53]Bowen Tan, Yun Zhu, Lijuan Liu, Eric P. Xing, Zhiting Hu, Jindong Chen:
Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer. CoRR abs/2311.06720 (2023) - [i52]Zhiting Hu, Tianmin Shu:
Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning. CoRR abs/2312.05230 (2023) - [i51]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:
LLM360: Towards Fully Transparent Open-Source LLMs. CoRR abs/2312.06550 (2023) - 2022
- [b1]Zhiting Hu:
Towards Training AI Agents with All Types of Experiences: A Standardized ML Formalism. Carnegie Mellon University, USA, 2022 - [j7]Di Jin, Zhijing Jin, Zhiting Hu, Olga Vechtomova, Rada Mihalcea:
Deep Learning for Text Style Transfer: A Survey. Comput. Linguistics 48(1): 155-205 (2022) - [j6]Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang:
A Survey of Knowledge-enhanced Text Generation. ACM Comput. Surv. 54(11s): 227:1-227:38 (2022) - [j5]Xunlin Zhan
elBERto: Self-supervised commonsense learning for question answering. Knowl. Based Syst. 258: 109964 (2022) - [c51]Jiannan Xiang, Zhengzhong Liu, Yucheng Zhou, Eric P. Xing, Zhiting Hu:
ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models. EMNLP (Findings) 2022: 1886-1899 - [c50]Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning. EMNLP 2022: 3369-3391 - [c49]Han Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu:
Efficient (Soft) Q-Learning for Text Generation with Limited Good Data. EMNLP (Findings) 2022: 6969-6991 - [c48]Guangyi Liu
Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation. NAACL-HLT 2022: 2055-2078 - [i50]Zhiting Hu, Li Erran Li:
A Causal Lens for Controllable Text Generation. CoRR abs/2201.09119 (2022) - [i49]Xunlin Zhan, Yuan Li, Xiao Dong, Xiaodan Liang, Zhiting Hu, Lawrence Carin:
elBERto: Self-supervised Commonsense Learning for Question Answering. CoRR abs/2203.09424 (2022) - [i48]Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, Yihan Wang, Han Guo, Tianmin Shu, Meng Song, Eric P. Xing, Zhiting Hu:
RLPrompt: Optimizing Discrete Text Prompts With Reinforcement Learning. CoRR abs/2205.12548 (2022) - [i47]Shibo Hao, Bowen Tan, Kaiwen Tang, Hengzhe Zhang, Eric P. Xing, Zhiting Hu:
BertNet: Harvesting Knowledge Graphs from Pretrained Language Models. CoRR abs/2206.14268 (2022) - [i46]Guangyi Liu
Composable Text Control Operations in Latent Space with Ordinary Differential Equations. CoRR abs/2208.00638 (2022) - [i45]Jiannan Xiang, Zhengzhong Liu, Yucheng Zhou, Eric P. Xing, Zhiting Hu:
ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models. CoRR abs/2210.04325 (2022) - 2021
- [c47]Mingkai Deng, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu:
Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation. EMNLP (1) 2021: 7580-7605 - [c46]Bowen Tan, Zichao Yang, Maruan Al-Shedivat, Eric P. Xing, Zhiting Hu:
Progressive Generation of Long Text with Pretrained Language Models. NAACL-HLT 2021: 4313-4324 - [c45]Zhiting Hu, Li Erran Li:
A Causal Lens for Controllable Text Generation. NeurIPS 2021: 24941-24955 - [i44]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:
A Data-Centric Framework for Composable NLP Workflows. CoRR abs/2103.01834 (2021) - [i43]Han Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu:
Text Generation with Efficient (Soft) Q-Learning. CoRR abs/2106.07704 (2021) - [i42]Guangyi Liu, Zichao Yang, Tianhua Tao, Xiaodan Liang, Zhen Li, Bowen Zhou, Shuguang Cui, Zhiting Hu:
Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation. CoRR abs/2106.15078 (2021) - [i41]Zhiting Hu, Eric P. Xing:
Panoramic Learning with A Standardized Machine Learning Formalism. CoRR abs/2108.07783 (2021) - [i40]Mingkai Deng, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu:
Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation. CoRR abs/2109.06379 (2021) - 2020
- [c44]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:
A Data-Centric Framework for Composable NLP Workflows. EMNLP (Demos) 2020: 197-204 - [c43]Shuai Lin, Wentao Wang, Zichao Yang, Xiaodan Liang, Frank F. Xu, Eric P. Xing, Zhiting Hu:
Record-to-Text Generation with Style Imitation. EMNLP (Findings) 2020: 1589-1598 - [c42]Bowen Tan, Lianhui Qin, Eric P. Xing, Zhiting Hu:
Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach. EMNLP (1) 2020: 6301-6309 - [c41]Zhiting Hu, Eric P. Xing:
Learning from All Types of Experiences: A Unifying Machine Learning Perspective. KDD 2020: 3531-3532 - [c40]Yue Wu, Pan Zhou, Andrew Gordon Wilson, Eric P. Xing, Zhiting Hu:
Improving GAN Training with Probability Ratio Clipping and Sample Reweighting. NeurIPS 2020 - [i39]Yue Wu, Pan Zhou, Andrew Gordon Wilson, Eric P. Xing, Zhiting Hu:
Improving GAN Training with Probability Ratio Clipping and Sample Reweighting. CoRR abs/2006.06900 (2020) - [i38]Bowen Tan, Zichao Yang, Maruan Al-Shedivat, Eric P. Xing, Zhiting Hu:
Progressive Generation of Long Text. CoRR abs/2006.15720 (2020) - [i37]Wenhao Yu
A Survey of Knowledge-Enhanced Text Generation. CoRR abs/2010.04389 (2020) - [i36]Bowen Tan, Lianhui Qin, Eric P. Xing, Zhiting Hu:
Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach. CoRR abs/2010.06792 (2020) - [i35]Di Jin, Zhijing Jin, Zhiting Hu, Olga Vechtomova, Rada Mihalcea:
Deep Learning for Text Style Transfer: A Survey. CoRR abs/2011.00416 (2020)
2010 – 2019
- 2019
- [c39]Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing:
Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation. AAAI 2019: 6666-6673 - [c38]Zhiting Hu, Haoran Shi, Bowen Tan, Wentao Wang, Zichao Yang, Tiancheng Zhao, Junxian He
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. ACL (3) 2019: 159-164 - [c37]Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu:
Target-Guided Open-Domain Conversation. ACL (1) 2019: 5624-5634 - [c36]Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang, Ming Zhang:
Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction. AMIA 2019 - [c35]Haoye Dong
Towards Multi-Pose Guided Virtual Try-On Network. ICCV 2019: 9025-9034 - [c34]Bowen Tan, Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing:
Connecting the Dots Between MLE and RL for Sequence Generation. DeepRLStructPred@ICLR 2019 - [c33]Haowen Xu, Hao Zhang, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing:
AutoLoss: Learning Discrete Schedule for Alternate Optimization. ICLR (Poster) 2019 - [c32]Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov, Tom M. Mitchell, Eric P. Xing:
Learning Data Manipulation for Augmentation and Weighting. NeurIPS 2019: 15738-15749 - [i34]Wanrong Zhu, Zhiting Hu, Eric P. Xing:
Text Infilling. CoRR abs/1901.00158 (2019) - [i33]Wentao Wang, Zhiting Hu, Zichao Yang, Haoran Shi, Frank F. Xu, Eric P. Xing:
Toward Unsupervised Text Content Manipulation. CoRR abs/1901.09501 (2019) - [i32]Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang, Ming Zhang:
Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction. CoRR abs/1903.08652 (2019) - [i31]Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing:
Knowledge-driven Encode, Retrieve, Paraphrase for Medical Image Report Generation. CoRR abs/1903.10122 (2019) - [i30]Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu:
Target-Guided Open-Domain Conversation. CoRR abs/1905.11553 (2019) - [i29]Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov, Tom M. Mitchell, Eric P. Xing:
Learning Data Manipulation for Augmentation and Weighting. CoRR abs/1910.12795 (2019) - 2018
- [c31]Lianhui Qin, Lemao Liu, Victoria Bi, Yan Wang, Xiaojiang Liu, Zhiting Hu, Hai Zhao, Shuming Shi:
Automatic Article Commenting: the Task and Dataset. ACL (2) 2018: 151-156 - [c30]Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing:
On Unifying Deep Generative Models. ICLR (Poster) 2018 - [c29]Qinyong Wang, Hongzhi Yin
Neural Memory Streaming Recommender Networks with Adversarial Training. KDD 2018: 2467-2475 - [c28]Yuan Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing:
Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation. NeurIPS 2018: 1537-1547 - [c27]Xiaodan Liang, Zhiting Hu, Hao Zhang, Liang Lin, Eric P. Xing:
Symbolic Graph Reasoning Meets Convolutions. NeurIPS 2018: 1858-1868 - [c26]Zichao Yang, Zhiting Hu, Chris Dyer, Eric P. Xing, Taylor Berg-Kirkpatrick:
Unsupervised Text Style Transfer using Language Models as Discriminators. NeurIPS 2018: 7298-7309 - [c25]Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Lianhui Qin, Xiaodan Liang, Haoye Dong, Eric P. Xing:
Deep Generative Models with Learnable Knowledge Constraints. NeurIPS 2018: 10522-10533 - [i28]Lianhui Qin, Lemao Liu, Victoria Bi, Yan Wang, Xiaojiang Liu, Zhiting Hu, Hai Zhao, Shuming Shi:
Automatic Article Commenting: the Task and Dataset. CoRR abs/1805.03668 (2018) - [i27]Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing:
Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation. CoRR abs/1805.08298 (2018) - [i26]Zichao Yang, Zhiting Hu, Chris Dyer, Eric P. Xing, Taylor Berg-Kirkpatrick:
Unsupervised Text Style Transfer using Language Models as Discriminators. CoRR abs/1805.11749 (2018) - [i25]Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Xiaodan Liang, Lianhui Qin, Haoye Dong, Eric P. Xing:
Deep Generative Models with Learnable Knowledge Constraints. CoRR abs/1806.09764 (2018) - [i24]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:
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. CoRR abs/1809.00794 (2018) - [i23]Haowen Xu, Hao Zhang, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing:
AutoLoss: Learning Discrete Schedules for Alternate Optimization. CoRR abs/1810.02442 (2018) - [i22]Youzhi Tian, Zhiting Hu, Zhou Yu:
Structured Content Preservation for Unsupervised Text Style Transfer. CoRR abs/1810.06526 (2018) - [i21]Bowen Tan, Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing:
Connecting the Dots Between MLE and RL for Sequence Generation. CoRR abs/1811.09740 (2018) - 2017
- [j4]Maruan Al-Shedivat, Andrew Gordon Wilson, Yunus Saatchi, Zhiting Hu, Eric P. Xing:
Learning Scalable Deep Kernels with Recurrent Structure. J. Mach. Learn. Res. 18: 82:1-82:37 (2017) - [c24]Lianhui Qin, Zhisong Zhang, Hai Zhao, Zhiting Hu, Eric P. Xing:
Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification. ACL (1) 2017: 1006-1017 - [c23]Zichao Yang, Zhiting Hu, Yuntian Deng, Chris Dyer, Alexander J. Smola:
Neural Machine Translation with Recurrent Attention Modeling. EACL (2) 2017: 383-387 - [c22]Xiaodan Liang, Zhiting Hu, Hao Zhang, Chuang Gan, Eric P. Xing:
Recurrent Topic-Transition GAN for Visual Paragraph Generation. ICCV 2017: 3382-3391 - [c21]Prasoon Goyal, Zhiting Hu, Xiaodan Liang, Chenyu Wang, Eric P. Xing, Carnegie Mellon:
Nonparametric Variational Auto-Encoders for Hierarchical Representation Learning. ICCV 2017: 5104-5112 - [c20]Xuezhe Ma, Yingkai Gao, Zhiting Hu, Yaoliang Yu, Yuntian Deng, Eduard H. Hovy:
Dropout with Expectation-linear Regularization. ICLR (Poster) 2017 - [c19]Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing:
Toward Controlled Generation of Text. ICML 2017: 1587-1596 - [c18]Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov, Taylor Berg-Kirkpatrick:
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions. ICML 2017: 3881-3890 - [c17]Junxian He
Efficient Correlated Topic Modeling with Topic Embedding. KDD 2017: 225-233 - [c16]Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing:
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. USENIX ATC 2017: 181-193 - [i20]Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov, Taylor Berg-Kirkpatrick:
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions. CoRR abs/1702.08139 (2017) - [i19]Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing:
Controllable Text Generation. CoRR abs/1703.00955 (2017) - [i18]Xiaodan Liang, Zhiting Hu, Hao Zhang, Chuang Gan, Eric P. Xing:
Recurrent Topic-Transition GAN for Visual Paragraph Generation. CoRR abs/1703.07022 (2017) - [i17]Prasoon Goyal, Zhiting Hu, Xiaodan Liang, Chenyu Wang, Eric P. Xing:
Nonparametric Variational Auto-encoders for Hierarchical Representation Learning. CoRR abs/1703.07027 (2017) - [i16]Lianhui Qin, Zhisong Zhang, Hai Zhao, Zhiting Hu, Eric P. Xing:
Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification. CoRR abs/1704.00217 (2017) - [i15]Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing:
On Unifying Deep Generative Models. CoRR abs/1706.00550 (2017) - [i14]Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing:
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. CoRR abs/1706.03292 (2017) - [i13]Junxian He, Zhiting Hu, Taylor Berg-Kirkpatrick, Ying Huang, Eric P. Xing:
Efficient Correlated Topic Modeling with Topic Embedding. CoRR abs/1707.00206 (2017) - [i12]Haoran Shi, Pengtao Xie, Zhiting Hu, Ming Zhang, Eric P. Xing:
Towards Automated ICD Coding Using Deep Learning. CoRR abs/1711.04075 (2017) - 2016
- [c15]Zhiting Hu, Xuezhe Ma
Harnessing Deep Neural Networks with Logic Rules. ACL (1) 2016 - [c14]Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing:
Learning Concept Taxonomies from Multi-modal Data. ACL (1) 2016 - [c13]Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov, Eric P. Xing:
Deep Kernel Learning. AISTATS 2016: 370-378 - [c12]Yuezhang Li, Ronghuo Zheng, Tian Tian, Zhiting Hu, Rahul Iyer, Katia P. Sycara:
Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification. COLING 2016: 2678-2688 - [c11]Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing:
Deep Neural Networks with Massive Learned Knowledge. EMNLP 2016: 1670-1679 - [c10]Hongzhi Yin
Discovering interpretable geo-social communities for user behavior prediction. ICDE 2016: 942-953 - [c9]Zhiting Hu, Gang Luo, Mrinmaya Sachan, Eric P. Xing, Zaiqing Nie:
Grounding Topic Models with Knowledge Bases. IJCAI 2016: 1578-1584 - [c8]Zhuo Wang, Jile Zhu, Xiang Li, Zhiting Hu, Ming Zhang:
Structured Knowledge Tracing Models for Student Assessment on Coursera. L@S 2016: 209-212 - [c7]Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov, Eric P. Xing:
Stochastic Variational Deep Kernel Learning. NIPS 2016: 2586-2594 - [i11]Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, Eduard H. Hovy, Eric P. Xing:
Harnessing Deep Neural Networks with Logic Rules. CoRR abs/1603.06318 (2016) - [i10]Yuezhang Li, Ronghuo Zheng, Tian Tian, Zhiting Hu, Rahul Iyer, Katia P. Sycara:
Joint Embeddings of Hierarchical Categories and Entities. CoRR abs/1605.03924 (2016) - [i9]Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing:
Learning Concept Taxonomies from Multi-modal Data. CoRR abs/1606.09239 (2016) - [i8]Zichao Yang, Zhiting Hu, Yuntian Deng, Chris Dyer, Alexander J. Smola:
Neural Machine Translation with Recurrent Attention Modeling. CoRR abs/1607.05108 (2016) - [i7]Yuezhang Li, Ronghuo Zheng, Tian Tian, Zhiting Hu, Rahul Iyer, Katia P. Sycara:
Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification. CoRR abs/1607.07956 (2016) - [i6]Xuezhe Ma, Yingkai Gao, Zhiting Hu, Yaoliang Yu, Yuntian Deng, Eduard H. Hovy:
Dropout with Expectation-linear Regularization. CoRR abs/1609.08017 (2016) - [i5]Maruan Al-Shedivat, Andrew Gordon Wilson, Yunus Saatchi, Zhiting Hu, Eric P. Xing:
Learning Scalable Deep Kernels with Recurrent Structure. CoRR abs/1610.08936 (2016) - [i4]Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov, Eric P. Xing:
Stochastic Variational Deep Kernel Learning. CoRR abs/1611.00336 (2016) - 2015
- [j3]Hongzhi Yin
Modeling Location-Based User Rating Profiles for Personalized Recommendation. ACM Trans. Knowl. Discov. Data 9(3): 19:1-19:41 (2015) - [j2]Hongzhi Yin
Dynamic User Modeling in Social Media Systems. ACM Trans. Inf. Syst. 33(3): 10:1-10:44 (2015) - [c6]Zhiting Hu, Poyao Huang, Yuntian Deng, Yingkai Gao, Eric P. Xing:
Entity Hierarchy Embedding. ACL (1) 2015: 1292-1300 - [c5]Zhiting Hu, Qirong Ho, Avinava Dubey, Eric P. Xing:
Large-scale Distributed Dependent Nonparametric Trees. ICML 2015: 1651-1659 - [c4]Zhiting Hu, Junjie Yao, Bin Cui
Community Level Diffusion Extraction. SIGMOD Conference 2015: 1555-1569 - [i3]Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov, Eric P. Xing:
Deep Kernel Learning. CoRR abs/1511.02222 (2015) - [i2]Hao Zhang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Gunhee Kim, Qirong Ho, Eric P. Xing:
Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines. CoRR abs/1512.06216 (2015) - 2014
- [j1]Hongzhi Yin
LCARS: A Spatial Item Recommender System. ACM Trans. Inf. Syst. 32(3): 11:1-11:37 (2014) - [c3]Zhiting Hu, Junjie Yao, Bin Cui:
User Group Oriented Temporal Dynamics Exploration. AAAI 2014: 66-72 - [c2]Hongzhi Yin
A temporal context-aware model for user behavior modeling in social media systems. SIGMOD Conference 2014: 1543-1554 - 2013
- [c1]Hongzhi Yin
LCARS: a location-content-aware recommender system. KDD 2013: 221-229 - [i1]Zhiting Hu, Chong Wang, Junjie Yao, Eric P. Xing, Hongzhi Yin, Bin Cui:
Community Specific Temporal Topic Discovery from Social Media. CoRR abs/1312.0860 (2013)
Coauthor Index
[c63] [c62] [c61] [c60] [i64] [i62] [c59] [c54] [p1] [i55] [i54] [i53] [i51] [c51] [c50] [c49] [i48] [i47] [i45] [c47] [c46] [i44] [i43] [i41] [i40] [c44] [c43] [c42] [c41] [c40] [i39] [i38] [i36] [c39] [c38] [c37] [c34] [c33] [c32] [i34] [i33] [i31] [i30] [i29] [c30] [c28] [c27] [c26] [c25] [i27] [i26] [i25] [i24] [i23] [i21] [j4] [c24] [c22] [c21] [c19] [c17] [c16] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [c15] [c14] [c13] [c11] [c9] [c7] [i11] [i9] [i5] [i4] [c6] [c5] [c4] [i3] [i2] [i1]
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