Zhiting Hu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
57
Venues
16
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
57 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Vision-G1: Towards General Reasoning Vision-Language Models via Reinforcement Learning. | Yuheng Zha, Kun Zhou, Yujia Wu, Yushu Wang, Jie Feng, Zhi Xu, Shibo Hao, Zhengzhong Liu, Eric P. Xing, Zhiting Hu |
| 2026 | ACL | Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language Models. | Yanbin Yin, Kun Zhou, Zhen Wang, Xiangdong Zhang, Yifei Shao, Shibo Hao, Yi Gu, Jieyuan Liu, Somanshu Singla, Tianyang Liu, Eric P. Xing, Zhengzhong Liu, Haojian Jin, Zhiting Hu |
| 2025 | ACL | Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation. | Qiyue Gao, Xinyu Pi, Kevin Liu, Junrong Chen, Ruolan Yang, Xinqi Huang, Xinyu Fang, Lu Sun, Gautham Kishore, Bo Ai, Stone Tao, Mengyang Liu, Jiaxi Yang, Chao-Jung Lai, Chuanyang Jin, Jiannan Xiang, Benhao Huang, Zeming Chen, David Danks, Hao Su, Tianmin Shu, Ziqiao Ma, Lianhui Qin, Zhiting Hu |
| 2025 | ICML | Synthesizing Privacy-Preserving Text Data via Finetuning *without* Finetuning Billion-Scale LLMs. | Bowen Tan, Zheng Xu, Eric P. Xing, Zhiting Hu, Shanshan Wu |
| 2024 | ACL | 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 |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICML | 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 |
| 2024 | NAACL | 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 |
| 2023 | ACL | 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 |
| 2023 | ACL | AlignScore: Evaluating Factual Consistency with A Unified Alignment Function. | Yuheng Zha, Yichi Yang, Ruichen Li, Zhiting Hu |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | Efficient (Soft) Q-Learning for Text Generation with Limited Good Data. | Han Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu |
| 2022 | EMNLP | ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models. | Jiannan Xiang, Zhengzhong Liu, Yucheng Zhou, Eric P. Xing, Zhiting Hu |
| 2022 | NAACL | 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 |
| 2021 | EMNLP | Knowledge-Enriched Natural Language Generation. | Wenhao Yu, Meng Jiang, Zhiting Hu, Qingyun Wang, Heng Ji, Nazneen Rajani |
| 2021 | EMNLP | Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation. | Mingkai Deng, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu |
| 2021 | NAACL | Progressive Generation of Long Text with Pretrained Language Models. | Bowen Tan, Zichao Yang, Maruan Al-Shedivat, Eric P. Xing, Zhiting Hu |
| 2020 | EMNLP | Record-to-Text Generation with Style Imitation. | Shuai Lin, Wentao Wang, Zichao Yang, Xiaodan Liang, Frank F. Xu, Eric P. Xing, Zhiting Hu |
| 2020 | EMNLP | 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 |
| 2020 | EMNLP | Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach. | Bowen Tan, Lianhui Qin, Eric P. Xing, Zhiting Hu |
| 2020 | KDD | Learning from All Types of Experiences: A Unifying Machine Learning Perspective. | Zhiting Hu, Eric P. Xing |
| 2019 | AAAI | Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation. | Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing |
| 2019 | ACL | 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 |
| 2019 | ACL | Target-Guided Open-Domain Conversation. | Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu |
| 2019 | AMIA | 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 |
| 2019 | ICCV | Towards Multi-Pose Guided Virtual Try-On Network. | Haoye Dong, Xiaodan Liang, Xiaohui Shen, Bochao Wang, Hanjiang Lai, Jia Zhu, Zhiting Hu, Jian Yin |
| 2019 | ICLR | Connecting the Dots Between MLE and RL for Sequence Generation. | Bowen Tan, Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing |
| 2019 | ICLR | AutoLoss: Learning Discrete Schedule for Alternate Optimization. | Haowen Xu, Hao Zhang, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing |
| 2018 | ACL | Automatic Article Commenting: the Task and Dataset. | Lianhui Qin, Lemao Liu, Victoria Bi, Yan Wang, Xiaojiang Liu, Zhiting Hu, Hai Zhao, Shuming Shi |
| 2018 | ICLR | On Unifying Deep Generative Models. | Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing |
| 2018 | KDD | Neural Memory Streaming Recommender Networks with Adversarial Training. | Qinyong Wang, Hongzhi Yin, Zhiting Hu, Defu Lian, Hao Wang, Zi Huang |
| 2017 | ACL | Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification. | Lianhui Qin, Zhisong Zhang, Hai Zhao, Zhiting Hu, Eric P. Xing |
| 2017 | EACL | Neural Machine Translation with Recurrent Attention Modeling. | Zichao Yang, Zhiting Hu, Yuntian Deng, Chris Dyer, Alexander J. Smola |
| 2017 | ICCV | Nonparametric Variational Auto-Encoders for Hierarchical Representation Learning. | Prasoon Goyal, Zhiting Hu, Xiaodan Liang, Chenyu Wang, Eric P. Xing, Carnegie Mellon |
| 2017 | ICCV | Recurrent Topic-Transition GAN for Visual Paragraph Generation. | Xiaodan Liang, Zhiting Hu, Hao Zhang, Chuang Gan, Eric P. Xing |
| 2017 | ICLR | Dropout with Expectation-linear Regularization. | Xuezhe Ma, Yingkai Gao, Zhiting Hu, Yaoliang Yu, Yuntian Deng, Eduard H. Hovy |
| 2017 | ICML | Toward Controlled Generation of Text. | Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing |
| 2017 | ICML | Improved Variational Autoencoders for Text Modeling using Dilated Convolutions. | Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov, Taylor Berg-Kirkpatrick |
| 2017 | KDD | Efficient Correlated Topic Modeling with Topic Embedding. | Junxian He, Zhiting Hu, Taylor Berg-Kirkpatrick, Ying Huang, Eric P. Xing |
| 2017 | USENIX | 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 |
| 2016 | ACL | Harnessing Deep Neural Networks with Logic Rules. | Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, Eduard H. Hovy, Eric P. Xing |
| 2016 | ACL | Learning Concept Taxonomies from Multi-modal Data. | Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing |
| 2016 | AISTATS | Deep Kernel Learning. | Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov, Eric P. Xing |
| 2016 | COLING | 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 |
| 2016 | EMNLP | Deep Neural Networks with Massive Learned Knowledge. | Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing |
| 2016 | ICDE | Discovering interpretable geo-social communities for user behavior prediction. | Hongzhi Yin, Zhiting Hu, Xiaofang Zhou, Hao Wang, Kai Zheng, Nguyen Quoc Viet Hung, Shazia Sadiq |
| 2016 | IJCAI | Grounding Topic Models with Knowledge Bases. | Zhiting Hu, Gang Luo, Mrinmaya Sachan, Eric P. Xing, Zaiqing Nie |
| 2015 | ACL | Entity Hierarchy Embedding. | Zhiting Hu, Poyao Huang, Yuntian Deng, Yingkai Gao, Eric P. Xing |
| 2015 | ICML | Large-scale Distributed Dependent Nonparametric Trees. | Zhiting Hu, Qirong Ho, Avinava Dubey, Eric P. Xing |
| 2015 | SIGMOD | Community Level Diffusion Extraction. | Zhiting Hu, Junjie Yao, Bin Cui, Eric P. Xing |
| 2014 | AAAI | User Group Oriented Temporal Dynamics Exploration. | Zhiting Hu, Junjie Yao, Bin Cui |
| 2014 | SIGMOD | A temporal context-aware model for user behavior modeling in social media systems. | Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Zi Huang |
| 2013 | KDD | LCARS: a location-content-aware recommender system. | Hongzhi Yin, Yizhou Sun, Bin Cui, Zhiting Hu, Ling Chen |