Zhiting Hu - RankMe

174 papers A* 36A 1B 2Misc 1Journal 102Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CellMaster: Collaborative Cell Type Annotation in Single-Cell Analysis. CoRR Zhen Wang, Yiming Gao, Jieyuan Liu, Enze Ma, Jefferson Chen, Mark Antkowiak, Mengzhou Hu, JungHo Kong, Dexter Pratt, Zhiting Hu, Wei Wang, Trey Ideker, Eric P. Xing
2026	J	`jnl`	FIRE-Bench: Evaluating Agents on the Rediscovery of Scientific Insights. CoRR Zhen Wang, Fan Bai, Zhongyan Luo, Jinyan Su, Kaiser Sun, Xinle Yu, Jieyuan Liu, Kun Zhou, Claire Cardie, Mark Dredze, Eric P. Xing, Zhiting Hu
2026	J	`jnl`	IsoCompute Playbook: Optimally Scaling Sampling Compute for LLM RL. CoRR Zhoujun Cheng, Yutao Xie, Yuxiao Qu, Amrith Setlur, Shibo Hao, Varad Pimpalkhute, Tongtong Liang, Feng Yao, Zhengzhong Liu, Eric P. Xing, Virginia Smith, Ruslan Salakhutdinov, Zhiting Hu, Taylor W. Killian, Aviral Kumar
2026	J	`jnl`	Learning Modal-Mixed Chain-of-Thought Reasoning with Latent Embeddings. CoRR Yifei Shao, Kun Zhou, Ziming Xu, Mohammad Atif Quamar, Shibo Hao, Zhen Wang, Zhiting Hu, Biwei Huang
2026	J	`jnl`	Power Consumption Patterns Using Telemetry Data. CoRR Harry Cheon, Yuyang Pang, Zhiting Hu, Benjamin Smarr, Julien Sebot, Bijan Arbab, Ahmed Shams
2026	J	`jnl`	TritonDFT: Automating DFT with a Multi-Agent Framework. CoRR Zhengding Hu, Kuntal Talit, Zhen Wang, Haseeb Ahmad, Yichen Lin, Prabhleen Kaur, Christopher Lane, Elizabeth A. Peterson, Zhiting Hu, Elizabeth A. Nowadnick, Yufei Ding
2026	A*	`conf`	Vision-G1: Towards General Reasoning Vision-Language Models via Reinforcement Learning. AAAI Yuheng Zha, Kun Zhou, Yujia Wu, Yushu Wang, Jie Feng, Zhi Xu, Shibo Hao, Zhengzhong Liu, Eric P. Xing, Zhiting Hu
2026	J	`jnl`	World Reasoning Arena. CoRR Qiyue Gao, Kun Zhou, Jiannan Xiang, Zihan Liu, Dequan Yang, Junrong Chen, Arif Ahmad, Cong Zeng, Ganesh Bannur, Xinqi Huang, Zheqi Li, Yi Gu, Yichi Yang, Guangyi Liu, Zhiting Hu, Zhengzhong Liu, Eric P. Xing
2026	J	`jnl`	scPilot: Large Language Model Reasoning Toward Automated Single-Cell Analysis and Discovery. CoRR Yiming Gao, Zhen Wang, Jefferson Chen, Mark Antkowiak, Mengzhou Hu, JungHo Kong, Dexter Pratt, Jieyuan Liu, Enze Ma, Zhiting Hu, Eric P. Xing
2025	J	`jnl`	Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models. CoRR Zekai Zhao, Qi Liu, Kun Zhou, Zihan Liu, Yifei Shao, Zhiting Hu, Biwei Huang
2025	J	`jnl`	ArcMemo: Abstract Reasoning Composition with Lifelong LLM Memory. CoRR Matthew Ho, Chen Si, Zhaoxiang Feng, Fangxu Yu, Yichi Yang, Zhijian Liu, Zhiting Hu, Lianhui Qin
2025	J	`jnl`	Auto-scaling Continuous Memory for GUI Agent. CoRR Wenyi Wu, Kun Zhou, Ruoxin Yuan, Vivian Yu, Stephen Wang, Zhiting Hu, Biwei Huang
2025	A*	`conf`	CReLeRI: Explainable, Concept-centric, Representation, Learning, Reasoning, and Interaction Video Analysis System. ACM Multimedia Michael Francis Perez, Yichi Yang, Yuheng Zha, Enze Ma, Danish Nisar Ahmed Tamboli, Haodi Ma, Reza Shahriari, Vyom Pathak, Dzmitry Kasinets, Rohith Venkatakrishnan, Daisy Zhe Wang, Jaime Ruiz, Eric D. Ragan, Zhiting Hu, Eric P. Xing, Jun-Yan Zhu
2025	J	`jnl`	Critiques of World Models. CoRR Eric P. Xing, Mingkai Deng, Jinyu Hou, Zhiting Hu
2025	J	`jnl`	Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language Models. CoRR Yanbin Yin, Kun Zhou, Zhen Wang, Zhaoxiang Zhang, Yifei Shao, Shibo Hao, Yi Gu, Jieyuan Liu, Somanshu Singla, Tianyang Liu, Eric P. Xing, Zhengzhong Liu, Haojian Jin, Zhiting Hu
2025	—	`conf`	Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation. ACL (Findings) 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	J	`jnl`	Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation. CoRR 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	J	`jnl`	Emergence of Superposition: Unveiling the Training Dynamics of Chain of Continuous Thought. CoRR Hanlin Zhu, Shibo Hao, Zhiting Hu, Jiantao Jiao, Stuart Russell, Yuandong Tian
2025	J	`jnl`	K2-Think: A Parameter-Efficient Reasoning System. CoRR Zhoujun Cheng, Richard Fan, Shibo Hao, Taylor W. Killian, Haonan Li, Suqi Sun, Hector Ren, Alexander Moreno, Daqian Zhang, Tianjun Zhong, Yuxin Xiong, Yuanzhe Hu, Yutao Xie, Xudong Han, Yuqi Wang, Varad Pimpalkhute, Yonghao Zhuang, Aaryamonvikram Singh, Xuezhi Liang, Anze Xie, Jianshu She, Desai Fan, Chengqian Gao, Liqun Ma, Mikhail Yurochkin, John Maggs, Xuezhe Ma, Guowei He, Zhiting Hu, Zhengzhong Liu, Eric P. Xing
2025	J	`jnl`	MuCHEx: A Multimodal Conversational Debugging Tool for Interactive Visual Exploration of Hierarchical Object Classification. IEEE Computer Graphics and Applications Reza Shahriari, Yichi Yang, Danish Nisar Ahmed Tamboli, Michael Francis Perez, Yuheng Zha, Jinyu Hou, Mingkai Deng, Eric D. Ragan, Jaime Ruiz, Daisy Zhe Wang, Zhiting Hu, Eric P. Xing
2025	J	`jnl`	PAN: A World Model for General, Interactable, and Long-Horizon World Simulation. CoRR Jiannan Xiang, Yi Gu, Zihan Liu, Zeyu Feng, Qiyue Gao, Yiyan Hu, Benhao Huang, Guangyi Liu, Yichi Yang, Kun Zhou, Davit Abrahamyan, Arif Ahmad, Ganesh Bannur, Junrong Chen, Kimi Chen, Mingkai Deng, Ruobing Han, Xinqi Huang, Haoqiang Kang, Zheqi Li, Enze Ma, Hector Ren, Yashowardhan Shinde, Rohan Shingre, Ramsundar Tanikella, Kaiming Tao, Dequan Yang, Xinle Yu, Cong Zeng, Binglin Zhou, Hector Liu, Zhiting Hu, Eric P. Xing
2025	J	`jnl`	Reasoning by Superposition: A Theoretical Perspective on Chain of Continuous Thought. CoRR Hanlin Zhu, Shibo Hao, Zhiting Hu, Jiantao Jiao, Stuart Russell, Yuandong Tian
2025	J	`jnl`	Response to Promises and Pitfalls of Deep Kernel Learning. CoRR Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov, Eric P. Xing
2025	J	`jnl`	Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective. CoRR Zhoujun Cheng, Shibo Hao, Tianyang Liu, Fan Zhou, Yutao Xie, Feng Yao, Yuexin Bian, Yonghao Zhuang, Nilabjo Dey, Yuheng Zha, Yi Gu, Kun Zhou, Yuqi Wang, Yuan Li, Richard Fan, Jianshu She, Chengqian Gao, Abulhair Saparov, Haonan Li, Taylor W. Killian, Mikhail Yurochkin, Zhengzhong Liu, Eric P. Xing, Zhiting Hu
2025	J	`jnl`	SimWorld-Robotics: Synthesizing Photorealistic and Dynamic Urban Environments for Multimodal Robot Navigation and Collaboration. CoRR Yan Zhuang, Jiawei Ren, Xiaokang Ye, Jianzhi Shen, Ruixuan Zhang, Tianai Yue, Muhammad Faayez, Xuhong He, Ziqiao Ma, Lianhui Qin, Zhiting Hu, Tianmin Shu
2025	J	`jnl`	SimWorld: An Open-ended Realistic Simulator for Autonomous Agents in Physical and Social Worlds. CoRR Jiawei Ren, Yan Zhuang, Xiaokang Ye, Lingjun Mao, Xuhong He, Jianzhi Shen, Mrinaal Dogra, Yiming Liang, Ruixuan Zhang, Tianai Yue, Yiqing Yang, Eric Liu, Ryan Wu, Kevin Benavente, Rajiv Mandya Nagaraju, Muhammad Faayez, Xiyan Zhang, Dhruv Vivek Sharma, Xianrui Zhong, Ziqiao Ma, Tianmin Shu, Zhiting Hu, Lianhui Qin
2025	J	`jnl`	SimuRA: Towards General Goal-Oriented Agent via Simulative Reasoning Architecture with LLM-Based World Model. CoRR Mingkai Deng, Jinyu Hou, Yilin Shen, Hongxia Jin, Graham Neubig, Zhiting Hu, Eric P. Xing
2025	A*	`conf`	Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs. ICML Bowen Tan, Zheng Xu, Eric P. Xing, Zhiting Hu, Shanshan Wu
2025	J	`jnl`	Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs. CoRR Bowen Tan, Zheng Xu, Eric P. Xing, Zhiting Hu, Shanshan Wu
2025	J	`jnl`	Towards General Continuous Memory for Vision-Language Models. CoRR Wenyi Wu, Zixuan Song, Kun Zhou, Yifei Shao, Zhiting Hu, Biwei Huang
2025	J	`jnl`	Vision-G1: Towards General Vision Language Reasoning with Multi-Domain Data Curation. CoRR Yuheng Zha, Kun Zhou, Yujia Wu, Yushu Wang, Jie Feng, Zhi Xu, Shibo Hao, Zhengzhong Liu, Eric P. Xing, Zhiting Hu
2025	J	`jnl`	Voila: Voice-Language Foundation Models for Real-Time Autonomous Interaction and Voice Role-Play. CoRR Yemin Shi, Yu Shu, Siwei Dong, Guangyi Liu, Jaward Sesay, Jingwen Li, Zhiting Hu
2024	A*	`conf`	Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models. EMNLP Somanshu Singla, Zhen Wang, Tianyang Liu, Abdullah Ashfaq, Zhiting Hu, Eric P. Xing
2024	J	`jnl`	Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models. CoRR Somanshu Singla, Zhen Wang, Tianyang Liu, Abdullah Ashfaq, Zhiting Hu, Eric P. Xing
2024	J	`jnl`	Generating, Reconstructing, and Representing Discrete and Continuous Data: Generalized Diffusion with Learnable Encoding-Decoding. CoRR 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
2024	J	`jnl`	LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models. CoRR Shibo Hao, Yi Gu, Haotian Luo, Tianyang Liu, Xiyan Shao, Xinyuan Wang, Shuhua Xie, Haodi Ma, Adithya Samavedhi, Qiyue Gao, Zhen Wang, Zhiting Hu
2024	—	`conf`	MMToM-QA: Multimodal Theory of Mind Question Answering. ACL (1) Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu
2024	J	`jnl`	MMToM-QA: Multimodal Theory of Mind Question Answering. CoRR Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu
2024	J	`jnl`	Pandora: Towards General World Model with Natural Language Actions and Video States. CoRR 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
2024	A*	`conf`	PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization. ICLR Xinyuan Wang, Chenxi Li, Zhen Wang, Fan Bai, Haotian Luo, Jiayou Zhang, Nebojsa Jojic, Eric P. Xing, Zhiting Hu
2024	—	`conf`	RedCoast: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs. NAACL (Demonstrations) Bowen Tan, Yun Zhu, Lijuan Liu, Hongyi Wang, Yonghao Zhuang, Jindong Chen, Eric P. Xing, Zhiting Hu
2024	J	`jnl`	Training Large Language Models to Reason in a Continuous Latent Space. CoRR Shibo Hao, Sainbayar Sukhbaatar, DiJia Su, Xian Li, Zhiting Hu, Jason Weston, Yuandong Tian
2024	A*	`conf`	UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language Models. EMNLP Xinyu Pi, Mingyuan Wu, Jize Jiang, Haozhen Zheng, Beitong Tian, ChengXiang Zhai, Klara Nahrstedt, Zhiting Hu
2024	J	`jnl`	UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language Models. CoRR Xinyu Pi, Mingyuan Wu, Jize Jiang, Haozhen Zheng, Beitong Tian, ChengXiang Zhai, Klara Nahrstedt, Zhiting Hu
2024	A*	`conf`	Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding. ICML 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
2023	—	`conf`	AlignScore: Evaluating Factual Consistency with A Unified Alignment Function. ACL (1) Yuheng Zha, Yichi Yang, Ruichen Li, Zhiting Hu
2023	J	`jnl`	AlignScore: Evaluating Factual Consistency with a Unified Alignment Function. CoRR Yuheng Zha, Yichi Yang, Ruichen Li, Zhiting Hu
2023	—	`conf`	BertNet: Harvesting Knowledge Graphs with Arbitrary Relations from Pretrained Language Models. ACL (Findings) Shibo Hao, Bowen Tan, Kaiwen Tang, Bin Ni, Xiyan Shao, Hengzhe Zhang, Eric P. Xing, Zhiting Hu
2023	A*	`conf`	Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer. NeurIPS Bowen Tan, Yun Zhu, Lijuan Liu, Eric P. Xing, Zhiting Hu, Jindong Chen
2023	J	`jnl`	Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer. CoRR Bowen Tan, Yun Zhu, Lijuan Liu, Eric P. Xing, Zhiting Hu, Jindong Chen
2023	A*	`conf`	Composable Text Controls in Latent Space with ODEs. EMNLP Guangyi Liu, Zeyu Feng, Yuan Gao, Zichao Yang, Xiaodan Liang, Junwei Bao, Xiaodong He, Shuguang Cui, Zhen Li, Zhiting Hu
2023	J	`jnl`	LLM360: Towards Fully Transparent Open-Source LLMs. CoRR 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
2023	A*	`conf`	Language Models Meet World Models: Embodied Experiences Enhance Language Models. NeurIPS Jiannan Xiang, Tianhua Tao, Yi Gu, Tianmin Shu, Zirui Wang, Zichao Yang, Zhiting Hu
2023	J	`jnl`	Language Models Meet World Models: Embodied Experiences Enhance Language Models. CoRR Jiannan Xiang, Tianhua Tao, Yi Gu, Tianmin Shu, Zirui Wang, Zichao Yang, Zhiting Hu
2023	J	`jnl`	Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning. CoRR Zhiting Hu, Tianmin Shu
2023	—	`ch.`	Neural-Symbolic Interaction and Co-Evolving. Compendium of Neurosymbolic Artificial Intelligence Bowen Tan, Shibo Hao, Eric P. Xing, Zhiting Hu
2023	J	`jnl`	PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization. CoRR Xinyuan Wang, Chenxi Li, Zhen Wang, Fan Bai, Haotian Luo, Jiayou Zhang, Nebojsa Jojic, Eric P. Xing, Zhiting Hu
2023	A*	`conf`	Reasoning with Language Model is Planning with World Model. EMNLP Shibo Hao, Yi Gu, Haodi Ma, Joshua Jiahua Hong, Zhen Wang, Daisy Zhe Wang, Zhiting Hu
2023	J	`jnl`	Reasoning with Language Model is Planning with World Model. CoRR Shibo Hao, Yi Gu, Haodi Ma, Joshua Jiahua Hong, Zhen Wang, Daisy Zhe Wang, Zhiting Hu
2023	J	`jnl`	Redco: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs. CoRR Bowen Tan, Yun Zhu, Lijuan Liu, Hongyi Wang, Yonghao Zhuang, Jindong Chen, Eric P. Xing, Zhiting Hu
2023	A*	`conf`	Text Alignment Is An Efficient Unified Model for Massive NLP Tasks. NeurIPS Yuheng Zha, Yichi Yang, Ruichen Li, Zhiting Hu
2023	J	`jnl`	Text Alignment Is An Efficient Unified Model for Massive NLP Tasks. CoRR Yuheng Zha, Yichi Yang, Ruichen Li, Zhiting Hu
2023	A*	`conf`	ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings. NeurIPS Shibo Hao, Tianyang Liu, Zhen Wang, Zhiting Hu
2023	J	`jnl`	ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings. CoRR Shibo Hao, Tianyang Liu, Zhen Wang, Zhiting Hu
2022	J	`jnl`	A Causal Lens for Controllable Text Generation. CoRR Zhiting Hu, Li Erran Li
2022	J	`jnl`	A Survey of Knowledge-enhanced Text Generation. ACM Comput. Surv. Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang
2022	—	`conf`	ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models. EMNLP (Findings) Jiannan Xiang, Zhengzhong Liu, Yucheng Zhou, Eric P. Xing, Zhiting Hu
2022	J	`jnl`	ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models. CoRR Jiannan Xiang, Zhengzhong Liu, Yucheng Zhou, Eric P. Xing, Zhiting Hu
2022	J	`jnl`	BertNet: Harvesting Knowledge Graphs from Pretrained Language Models. CoRR Shibo Hao, Bowen Tan, Kaiwen Tang, Hengzhe Zhang, Eric P. Xing, Zhiting Hu
2022	J	`jnl`	Composable Text Control Operations in Latent Space with Ordinary Differential Equations. CoRR Guangyi Liu, Zeyu Feng, Yuan Gao, Zichao Yang, Xiaodan Liang, Junwei Bao, Xiaodong He, Shuguang Cui, Zhen Li, Zhiting Hu
2022	J	`jnl`	Deep Learning for Text Style Transfer: A Survey. Comput. Linguistics Di Jin, Zhijing Jin, Zhiting Hu, Olga Vechtomova, Rada Mihalcea
2022	—	`conf`	Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation. NAACL-HLT Guangyi Liu, Zichao Yang, Tianhua Tao, Xiaodan Liang, Junwei Bao, Zhen Li, Xiaodong He, Shuguang Cui, Zhiting Hu
2022	—	`conf`	Efficient (Soft) Q-Learning for Text Generation with Limited Good Data. EMNLP (Findings) Han Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu
2022	J	`jnl`	RLPrompt: Optimizing Discrete Text Prompts With Reinforcement Learning. CoRR Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, Yihan Wang, Han Guo, Tianmin Shu, Meng Song, Eric P. Xing, Zhiting Hu
2022	A*	`conf`	RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning. EMNLP Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, Yihan Wang, Han Guo, Tianmin Shu, Meng Song, Eric P. Xing, Zhiting Hu
2022	—	`—`	Towards Training AI Agents with All Types of Experiences: A Standardized ML Formalism. Zhiting Hu
2022	J	`jnl`	elBERto: Self-supervised Commonsense Learning for Question Answering. CoRR Xunlin Zhan, Yuan Li, Xiao Dong, Xiaodan Liang, Zhiting Hu, Lawrence Carin
2022	J	`jnl`	elBERto: Self-supervised commonsense learning for question answering. Knowl. Based Syst. Xunlin Zhan, Yuan Li, Xiao Dong, Xiaodan Liang, Zhiting Hu, Lawrence Carin
2021	A*	`conf`	A Causal Lens for Controllable Text Generation. NeurIPS Zhiting Hu, Li Erran Li
2021	J	`jnl`	A Data-Centric Framework for Composable NLP Workflows. CoRR 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
2021	—	`conf`	Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation. EMNLP (1) Mingkai Deng, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu
2021	J	`jnl`	Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation. CoRR Mingkai Deng, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu
2021	J	`jnl`	Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation. CoRR Guangyi Liu, Zichao Yang, Tianhua Tao, Xiaodan Liang, Zhen Li, Bowen Zhou, Shuguang Cui, Zhiting Hu
2021	—	`conf`	Knowledge-Enriched Natural Language Generation. EMNLP (Tutorial Abstracts) Wenhao Yu, Meng Jiang, Zhiting Hu, Qingyun Wang, Heng Ji, Nazneen Rajani
2021	J	`jnl`	Panoramic Learning with A Standardized Machine Learning Formalism. CoRR Zhiting Hu, Eric P. Xing
2021	—	`conf`	Progressive Generation of Long Text with Pretrained Language Models. NAACL-HLT Bowen Tan, Zichao Yang, Maruan Al-Shedivat, Eric P. Xing, Zhiting Hu
2021	J	`jnl`	Text Generation with Efficient (Soft) Q-Learning. CoRR Han Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu
2020	—	`conf`	A Data-Centric Framework for Composable NLP Workflows. EMNLP (Demos) 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	J	`jnl`	A Survey of Knowledge-Enhanced Text Generation. CoRR Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang
2020	J	`jnl`	Deep Learning for Text Style Transfer: A Survey. CoRR Di Jin, Zhijing Jin, Zhiting Hu, Olga Vechtomova, Rada Mihalcea
2020	A*	`conf`	Improving GAN Training with Probability Ratio Clipping and Sample Reweighting. NeurIPS Yue Wu, Pan Zhou, Andrew Gordon Wilson, Eric P. Xing, Zhiting Hu
2020	J	`jnl`	Improving GAN Training with Probability Ratio Clipping and Sample Reweighting. CoRR Yue Wu, Pan Zhou, Andrew Gordon Wilson, Eric P. Xing, Zhiting Hu
2020	A*	`conf`	Learning from All Types of Experiences: A Unifying Machine Learning Perspective. KDD Zhiting Hu, Eric P. Xing
2020	J	`jnl`	Progressive Generation of Long Text. CoRR Bowen Tan, Zichao Yang, Maruan Al-Shedivat, Eric P. Xing, Zhiting Hu
2020	—	`conf`	Record-to-Text Generation with Style Imitation. EMNLP (Findings) Shuai Lin, Wentao Wang, Zichao Yang, Xiaodan Liang, Frank F. Xu, Eric P. Xing, Zhiting Hu
2020	—	`conf`	Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach. EMNLP (1) Bowen Tan, Lianhui Qin, Eric P. Xing, Zhiting Hu
2020	J	`jnl`	Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach. CoRR Bowen Tan, Lianhui Qin, Eric P. Xing, Zhiting Hu
2019	—	`conf`	AutoLoss: Learning Discrete Schedule for Alternate Optimization. ICLR (Poster) Haowen Xu, Hao Zhang, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing
2019	—	`conf`	Connecting the Dots Between MLE and RL for Sequence Generation. DeepRLStructPred@ICLR Bowen Tan, Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing
2019	A*	`conf`	Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation. AAAI Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing
2019	J	`jnl`	Knowledge-driven Encode, Retrieve, Paraphrase for Medical Image Report Generation. CoRR Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing
2019	A*	`conf`	Learning Data Manipulation for Augmentation and Weighting. NeurIPS Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov, Tom M. Mitchell, Eric P. Xing
2019	J	`jnl`	Learning Data Manipulation for Augmentation and Weighting. CoRR Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov, Tom M. Mitchell, Eric P. Xing
2019	Misc	`conf`	Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction. AMIA Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang, Ming Zhang
2019	J	`jnl`	Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction. CoRR Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang, Ming Zhang
2019	—	`conf`	Target-Guided Open-Domain Conversation. ACL (1) Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu
2019	J	`jnl`	Target-Guided Open-Domain Conversation. CoRR Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu
2019	—	`conf`	Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. ACL (3) 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	J	`jnl`	Text Infilling. CoRR Wanrong Zhu, Zhiting Hu, Eric P. Xing
2019	J	`jnl`	Toward Unsupervised Text Content Manipulation. CoRR Wentao Wang, Zhiting Hu, Zichao Yang, Haoran Shi, Frank F. Xu, Eric P. Xing
2019	A*	`conf`	Towards Multi-Pose Guided Virtual Try-On Network. ICCV Haoye Dong, Xiaodan Liang, Xiaohui Shen, Bochao Wang, Hanjiang Lai, Jia Zhu, Zhiting Hu, Jian Yin
2018	J	`jnl`	AutoLoss: Learning Discrete Schedules for Alternate Optimization. CoRR Haowen Xu, Hao Zhang, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing
2018	—	`conf`	Automatic Article Commenting: the Task and Dataset. ACL (2) Lianhui Qin, Lemao Liu, Victoria Bi, Yan Wang, Xiaojiang Liu, Zhiting Hu, Hai Zhao, Shuming Shi
2018	J	`jnl`	Automatic Article Commenting: the Task and Dataset. CoRR Lianhui Qin, Lemao Liu, Victoria Bi, Yan Wang, Xiaojiang Liu, Zhiting Hu, Hai Zhao, Shuming Shi
2018	J	`jnl`	Connecting the Dots Between MLE and RL for Sequence Generation. CoRR Bowen Tan, Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing
2018	A*	`conf`	Deep Generative Models with Learnable Knowledge Constraints. NeurIPS Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Lianhui Qin, Xiaodan Liang, Haoye Dong, Eric P. Xing
2018	J	`jnl`	Deep Generative Models with Learnable Knowledge Constraints. CoRR Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Xiaodan Liang, Lianhui Qin, Haoye Dong, Eric P. Xing
2018	A*	`conf`	Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation. NeurIPS Yuan Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing
2018	J	`jnl`	Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation. CoRR Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing
2018	A*	`conf`	Neural Memory Streaming Recommender Networks with Adversarial Training. KDD Qinyong Wang, Hongzhi Yin, Zhiting Hu, Defu Lian, Hao Wang, Zi Huang
2018	—	`conf`	On Unifying Deep Generative Models. ICLR (Poster) Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing
2018	J	`jnl`	Structured Content Preservation for Unsupervised Text Style Transfer. CoRR Youzhi Tian, Zhiting Hu, Zhou Yu
2018	A*	`conf`	Symbolic Graph Reasoning Meets Convolutions. NeurIPS Xiaodan Liang, Zhiting Hu, Hao Zhang, Liang Lin, Eric P. Xing
2018	J	`jnl`	Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. CoRR 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
2018	A*	`conf`	Unsupervised Text Style Transfer using Language Models as Discriminators. NeurIPS Zichao Yang, Zhiting Hu, Chris Dyer, Eric P. Xing, Taylor Berg-Kirkpatrick
2018	J	`jnl`	Unsupervised Text Style Transfer using Language Models as Discriminators. CoRR Zichao Yang, Zhiting Hu, Chris Dyer, Eric P. Xing, Taylor Berg-Kirkpatrick
2017	—	`conf`	Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification. ACL (1) Lianhui Qin, Zhisong Zhang, Hai Zhao, Zhiting Hu, Eric P. Xing
2017	J	`jnl`	Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification. CoRR Lianhui Qin, Zhisong Zhang, Hai Zhao, Zhiting Hu, Eric P. Xing
2017	J	`jnl`	Controllable Text Generation. CoRR Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing
2017	—	`conf`	Dropout with Expectation-linear Regularization. ICLR (Poster) Xuezhe Ma, Yingkai Gao, Zhiting Hu, Yaoliang Yu, Yuntian Deng, Eduard H. Hovy
2017	A*	`conf`	Efficient Correlated Topic Modeling with Topic Embedding. KDD Junxian He, Zhiting Hu, Taylor Berg-Kirkpatrick, Ying Huang, Eric P. Xing
2017	J	`jnl`	Efficient Correlated Topic Modeling with Topic Embedding. CoRR Junxian He, Zhiting Hu, Taylor Berg-Kirkpatrick, Ying Huang, Eric P. Xing
2017	A*	`conf`	Improved Variational Autoencoders for Text Modeling using Dilated Convolutions. ICML Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov, Taylor Berg-Kirkpatrick
2017	J	`jnl`	Improved Variational Autoencoders for Text Modeling using Dilated Convolutions. CoRR Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov, Taylor Berg-Kirkpatrick
2017	J	`jnl`	Learning Scalable Deep Kernels with Recurrent Structure. J. Mach. Learn. Res. Maruan Al-Shedivat, Andrew Gordon Wilson, Yunus Saatchi, Zhiting Hu, Eric P. Xing
2017	—	`conf`	Neural Machine Translation with Recurrent Attention Modeling. EACL (2) Zichao Yang, Zhiting Hu, Yuntian Deng, Chris Dyer, Alexander J. Smola
2017	A*	`conf`	Nonparametric Variational Auto-Encoders for Hierarchical Representation Learning. ICCV Prasoon Goyal, Zhiting Hu, Xiaodan Liang, Chenyu Wang, Eric P. Xing, Carnegie Mellon
2017	J	`jnl`	Nonparametric Variational Auto-encoders for Hierarchical Representation Learning. CoRR Prasoon Goyal, Zhiting Hu, Xiaodan Liang, Chenyu Wang, Eric P. Xing
2017	J	`jnl`	On Unifying Deep Generative Models. CoRR Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing
2017	—	`conf`	Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. USENIX ATC Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing
2017	J	`jnl`	Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. CoRR Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing
2017	A*	`conf`	Recurrent Topic-Transition GAN for Visual Paragraph Generation. ICCV Xiaodan Liang, Zhiting Hu, Hao Zhang, Chuang Gan, Eric P. Xing
2017	J	`jnl`	Recurrent Topic-Transition GAN for Visual Paragraph Generation. CoRR Xiaodan Liang, Zhiting Hu, Hao Zhang, Chuang Gan, Eric P. Xing
2017	A*	`conf`	Toward Controlled Generation of Text. ICML Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing
2017	J	`jnl`	Towards Automated ICD Coding Using Deep Learning. CoRR Haoran Shi, Pengtao Xie, Zhiting Hu, Ming Zhang, Eric P. Xing
2016	A	`conf`	Deep Kernel Learning. AISTATS Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov, Eric P. Xing
2016	A*	`conf`	Deep Neural Networks with Massive Learned Knowledge. EMNLP Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing
2016	A*	`conf`	Discovering interpretable geo-social communities for user behavior prediction. ICDE Hongzhi Yin, Zhiting Hu, Xiaofang Zhou, Hao Wang, Kai Zheng, Nguyen Quoc Viet Hung, Shazia Sadiq
2016	J	`jnl`	Dropout with Expectation-linear Regularization. CoRR Xuezhe Ma, Yingkai Gao, Zhiting Hu, Yaoliang Yu, Yuntian Deng, Eduard H. Hovy
2016	A*	`conf`	Grounding Topic Models with Knowledge Bases. IJCAI Zhiting Hu, Gang Luo, Mrinmaya Sachan, Eric P. Xing, Zaiqing Nie
2016	—	`conf`	Harnessing Deep Neural Networks with Logic Rules. ACL (1) Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, Eduard H. Hovy, Eric P. Xing
2016	J	`jnl`	Harnessing Deep Neural Networks with Logic Rules. CoRR Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, Eduard H. Hovy, Eric P. Xing
2016	B	`conf`	Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification. COLING Yuezhang Li, Ronghuo Zheng, Tian Tian, Zhiting Hu, Rahul Iyer, Katia P. Sycara
2016	J	`jnl`	Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification. CoRR Yuezhang Li, Ronghuo Zheng, Tian Tian, Zhiting Hu, Rahul Iyer, Katia P. Sycara
2016	J	`jnl`	Joint Embeddings of Hierarchical Categories and Entities. CoRR Yuezhang Li, Ronghuo Zheng, Tian Tian, Zhiting Hu, Rahul Iyer, Katia P. Sycara
2016	—	`conf`	Learning Concept Taxonomies from Multi-modal Data. ACL (1) Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing
2016	J	`jnl`	Learning Concept Taxonomies from Multi-modal Data. CoRR Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing
2016	J	`jnl`	Learning Scalable Deep Kernels with Recurrent Structure. CoRR Maruan Al-Shedivat, Andrew Gordon Wilson, Yunus Saatchi, Zhiting Hu, Eric P. Xing
2016	J	`jnl`	Neural Machine Translation with Recurrent Attention Modeling. CoRR Zichao Yang, Zhiting Hu, Yuntian Deng, Chris Dyer, Alexander J. Smola
2016	—	`conf`	Stochastic Variational Deep Kernel Learning. NIPS Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov, Eric P. Xing
2016	J	`jnl`	Stochastic Variational Deep Kernel Learning. CoRR Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov, Eric P. Xing
2016	B	`conf`	Structured Knowledge Tracing Models for Student Assessment on Coursera. L@S Zhuo Wang, Jile Zhu, Xiang Li, Zhiting Hu, Ming Zhang
2015	—	`conf`	Community Level Diffusion Extraction. SIGMOD Conference Zhiting Hu, Junjie Yao, Bin Cui, Eric P. Xing
2015	J	`jnl`	Deep Kernel Learning. CoRR Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov, Eric P. Xing
2015	J	`jnl`	Dynamic User Modeling in Social Media Systems. ACM Trans. Inf. Syst. Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Xiaofang Zhou
2015	—	`conf`	Entity Hierarchy Embedding. ACL (1) Zhiting Hu, Poyao Huang, Yuntian Deng, Yingkai Gao, Eric P. Xing
2015	A*	`conf`	Large-scale Distributed Dependent Nonparametric Trees. ICML Zhiting Hu, Qirong Ho, Avinava Dubey, Eric P. Xing
2015	J	`jnl`	Modeling Location-Based User Rating Profiles for Personalized Recommendation. ACM Trans. Knowl. Discov. Data Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Chengqi Zhang
2015	J	`jnl`	Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines. CoRR Hao Zhang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Gunhee Kim, Qirong Ho, Eric P. Xing
2014	—	`conf`	A temporal context-aware model for user behavior modeling in social media systems. SIGMOD Conference Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Zi Huang
2014	J	`jnl`	LCARS: A Spatial Item Recommender System. ACM Trans. Inf. Syst. Hongzhi Yin, Bin Cui, Yizhou Sun, Zhiting Hu, Ling Chen
2014	A*	`conf`	User Group Oriented Temporal Dynamics Exploration. AAAI Zhiting Hu, Junjie Yao, Bin Cui
2013	J	`jnl`	Community Specific Temporal Topic Discovery from Social Media. CoRR Zhiting Hu, Chong Wang, Junjie Yao, Eric P. Xing, Hongzhi Yin, Bin Cui
2013	A*	`conf`	LCARS: a location-content-aware recommender system. KDD Hongzhi Yin, Yizhou Sun, Bin Cui, Zhiting Hu, Ling Chen