Yingbo Zhou - RankMe

144 papers A* 19A 3B 3Misc 1Journal 86Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MAS-ProVe: Understanding the Process Verification of Multi-Agent Systems. CoRR Vishal Venkataramani, Haizhou Shi, Zixuan Ke, Austin Xu, Xiaoxiao He, Yingbo Zhou, Semih Yavuz, Hao Wang, Shafiq Joty
2026	J	`jnl`	VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents. Trans. Mach. Learn. Res. Rui Meng, Ziyan Jiang, Ye Liu, Mingyi Su, Xinyi Yang, Yuepeng Fu, Can Qin, Raghuveer Thirukovalluru, Xuan Zhang, Zeyuan Chen, Ran Xu, Caiming Xiong, Yingbo Zhou, Wenhu Chen, Semih Yavuz
2025	J	`jnl`	BOLT: Bootstrap Long Chain-of-Thought in Language Models without Distillation. CoRR Bo Pang, Hanze Dong, Jiacheng Xu, Silvio Savarese, Yingbo Zhou, Caiming Xiong
2025	J	`jnl`	Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining. CoRR Raghuveer Thirukovalluru, Rui Meng, Ye Liu, Karthikeyan K, Mingyi Su, Ping Nie, Semih Yavuz, Yingbo Zhou, Wenhu Chen, Bhuwan Dhingra
2025	J	`jnl`	CLOVER: A Test Case Generation Benchmark with Coverage, Long-Context, and Verification. CoRR Jiacheng Xu, Bo Pang, Jin Qu, Hiroaki Hayashi, Caiming Xiong, Yingbo Zhou
2025	J	`jnl`	CoDA: Coding LM via Diffusion Adaptation. CoRR Haolin Chen, Shiyu Wang, Can Qin, Bo Pang, Zuxin Liu, Jielin Qiu, Jianguo Zhang, Yingbo Zhou, Zeyuan Chen, Ran Xu, Shelby Heinecke, Silvio Savarese, Caiming Xiong, Huan Wang, Weiran Yao
2025	—	`conf`	CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models. NAACL (Long Papers) Jierui Li, Hung Le, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Doyen Sahoo
2025	A*	`conf`	Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. ICLR Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, Rithesh R. N., Tian Lan, Lei Li, Renze Lou, Jiacheng Xu, Bo Pang, Yingbo Zhou, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong
2025	J	`jnl`	LLMs Get Lost In Multi-Turn Conversation. CoRR Philippe Laban, Hiroaki Hayashi, Yingbo Zhou, Jennifer Neville
2025	J	`jnl`	Reasoning Curriculum: Bootstrapping Broad LLM Reasoning from Math. CoRR Bo Pang, Deqian Kong, Silvio Savarese, Caiming Xiong, Yingbo Zhou
2025	J	`jnl`	Retrofitting Small Multilingual Models for Retrieval: Matching 7B Performance with 300M Parameters. CoRR Lifu Tu, Yingbo Zhou, Semih Yavuz
2025	J	`jnl`	SSR: Socratic Self-Refine for Large Language Model Reasoning. CoRR Haizhou Shi, Ye Liu, Bo Pang, Zeyu Leo Liu, Hao Wang, Silvio Savarese, Caiming Xiong, Yingbo Zhou, Semih Yavuz
2025	J	`jnl`	Self-Abstraction from Grounded Experience for Plan-Guided Policy Refinement. CoRR Hiroaki Hayashi, Bo Pang, Wenting Zhao, Ye Liu, Akash Gokul, Srijan Bansal, Caiming Xiong, Semih Yavuz, Yingbo Zhou
2025	J	`jnl`	SweRank+: Multilingual, Multi-Turn Code Ranking for Software Issue Localization. CoRR Revanth Gangi Reddy, Ye Liu, Wenting Zhao, JaeHyeok Doo, Tarun Suresh, Daniel Lee, Caiming Xiong, Yingbo Zhou, Semih Yavuz, Shafiq Joty
2025	J	`jnl`	SweRank: Software Issue Localization with Code Ranking. CoRR Revanth Gangi Reddy, Tarun Suresh, JaeHyeok Doo, Ye Liu, Xuan-Phi Nguyen, Yingbo Zhou, Semih Yavuz, Caiming Xiong, Heng Ji, Shafiq Joty
2025	J	`jnl`	VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents. CoRR Rui Meng, Ziyan Jiang, Ye Liu, Mingyi Su, Xinyi Yang, Yuepeng Fu, Can Qin, Zeyuan Chen, Ran Xu, Caiming Xiong, Yingbo Zhou, Wenhu Chen, Semih Yavuz
2025	A*	`conf`	VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks. ICLR Ziyan Jiang, Rui Meng, Xinyi Yang, Semih Yavuz, Yingbo Zhou, Wenhu Chen
2025	J	`jnl`	xGen-small Technical Report. CoRR Erik Nijkamp, Bo Pang, Egor Pakhomov, Akash Gokul, Jin Qu, Silvio Savarese, Yingbo Zhou, Caiming Xiong
2024	—	`conf`	ARM: Alignment with Residual Energy-Based Model. NAACL-HLT Bo Pang, Caiming Xiong, Yingbo Zhou
2024	J	`jnl`	CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models. CoRR Jierui Li, Hung Le, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Doyen Sahoo
2024	J	`jnl`	CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval. CoRR Ye Liu, Rui Meng, Shafiq Joty, Silvio Savarese, Caiming Xiong, Yingbo Zhou, Semih Yavuz
2024	—	`conf`	DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text. NAACL-HLT (Findings) Wenting Zhao, Ye Liu, Tong Niu, Yao Wan, Philip S. Yu, Shafiq Joty, Yingbo Zhou, Semih Yavuz
2024	J	`jnl`	Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. CoRR Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, Rithesh Murthy, Tian Lan, Lei Li, Renze Lou, Jiacheng Xu, Bo Pang, Yingbo Zhou, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong
2024	—	`conf`	Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning. EACL (Findings) Lifu Tu, Jin Qu, Semih Yavuz, Shafiq Joty, Wenhao Liu, Caiming Xiong, Yingbo Zhou
2024	A*	`conf`	FOLIO: Natural Language Reasoning with First-Order Logic. EMNLP Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Wenfei Zhou, James Coady, David Peng, Yujie Qiao, Luke Benson, Lucy Sun, Alexander Wardle-Solano, Hannah Szabó, Ekaterina Zubova, Matthew Burtell, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Alexander R. Fabbri, Wojciech Kryscinski, Semih Yavuz, Ye Liu, Xi Victoria Lin, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Rex Ying, Arman Cohan, Dragomir Radev
2024	A*	`conf`	INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness. NeurIPS Hung Le, Doyen Sahoo, Yingbo Zhou, Caiming Xiong, Silvio Savarese
2024	J	`jnl`	INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness. CoRR Hung Le, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Doyen Sahoo
2024	J	`jnl`	Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification. CoRR Zhenwen Liang, Ye Liu, Tong Niu, Xiangliang Zhang, Yingbo Zhou, Semih Yavuz
2024	J	`jnl`	Investigating Factuality in Long-Form Text Generation: The Roles of Self-Known and Self-Unknown. CoRR Lifu Tu, Rui Meng, Shafiq Joty, Yingbo Zhou, Semih Yavuz
2024	J	`jnl`	JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking. CoRR Tong Niu, Shafiq Joty, Ye Liu, Caiming Xiong, Yingbo Zhou, Semih Yavuz
2024	—	`conf`	P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains. EMNLP (Findings) Simeng Han, Aaron Yu, Rui Shen, Zhenting Qi, Martin Riddell, Wenfei Zhou, Yujie Qiao, Yilun Zhao, Semih Yavuz, Ye Liu, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Dragomir Radev, Rex Ying, Arman Cohan
2024	J	`jnl`	P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains. CoRR Simeng Han, Aaron Yu, Rui Shen, Zhenting Qi, Martin Riddell, Wenfei Zhou, Yujie Qiao, Yilun Zhao, Semih Yavuz, Ye Liu, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Dragomir Radev, Rex Ying, Arman Cohan
2024	J	`jnl`	Parameter-Efficient Detoxification with Contrastive Decoding. CoRR Tong Niu, Caiming Xiong, Semih Yavuz, Yingbo Zhou
2024	J	`jnl`	RLHF Workflow: From Reward Modeling to Online RLHF. CoRR Hanze Dong, Wei Xiong, Bo Pang, Haoxiang Wang, Han Zhao, Yingbo Zhou, Nan Jiang, Doyen Sahoo, Caiming Xiong, Tong Zhang
2024	J	`jnl`	RLHF Workflow: From Reward Modeling to Online RLHF. Trans. Mach. Learn. Res. Hanze Dong, Wei Xiong, Bo Pang, Haoxiang Wang, Han Zhao, Yingbo Zhou, Nan Jiang, Doyen Sahoo, Caiming Xiong, Tong Zhang
2024	J	`jnl`	StructTest: Benchmarking LLMs' Reasoning through Compositional Structured Outputs. CoRR Hailin Chen, Fangkai Jiao, Mathieu Ravaut, Nawshad Farruque, Xuan-Phi Nguyen, Chengwei Qin, Manan Dey, Bosheng Ding, Caiming Xiong, Shafiq Joty, Yingbo Zhou
2024	—	`conf`	Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models. EMNLP (Findings) Rui Meng, Ye Liu, Lifu Tu, Daqing He, Yingbo Zhou, Semih Yavuz
2024	J	`jnl`	Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models. CoRR Rui Meng, Ye Liu, Lifu Tu, Daqing He, Yingbo Zhou, Semih Yavuz
2024	A*	`conf`	Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding. EMNLP Lifu Tu, Semih Yavuz, Jin Qu, Jiacheng Xu, Rui Meng, Caiming Xiong, Yingbo Zhou
2024	J	`jnl`	VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks. CoRR Ziyan Jiang, Rui Meng, Xinyi Yang, Semih Yavuz, Yingbo Zhou, Wenhu Chen
2024	—	`conf`	xGen-VideoSyn-1: High-Fidelity Text-to-Video Synthesis with Compressed Representations. ECCV Workshops (5) Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong
2024	J	`jnl`	xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations. CoRR Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong
2023	J	`jnl`	Answering Complex Questions over Text by Hybrid Question Parsing and Execution. CoRR Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou
2023	—	`conf`	Best-k Search Algorithm for Neural Text Generation. ACL (1) Jiacheng Xu, Caiming Xiong, Silvio Savarese, Yingbo Zhou
2023	J	`jnl`	CodeGen2: Lessons for Training LLMs on Programming and Natural Languages. CoRR Erik Nijkamp, Hiroaki Hayashi, Caiming Xiong, Silvio Savarese, Yingbo Zhou
2023	A*	`conf`	CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis. ICLR Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong
2023	J	`jnl`	DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text. CoRR Wenting Zhao, Ye Liu, Tong Niu, Yao Wan, Philip S. Yu, Shafiq Joty, Yingbo Zhou, Semih Yavuz
2023	J	`jnl`	Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning. CoRR Lifu Tu, Jin Qu, Semih Yavuz, Shafiq Joty, Wenhao Liu, Caiming Xiong, Yingbo Zhou
2023	J	`jnl`	Exploring the Integration Strategies of Retriever and Large Language Models. CoRR Ye Liu, Semih Yavuz, Rui Meng, Meghana Moorthy, Shafiq Joty, Caiming Xiong, Yingbo Zhou
2023	—	`conf`	Few-shot Unified Question Answering: Tuning Models or Prompts? EMNLP (Findings) Srijan Bansal, Semih Yavuz, Bo Pang, Meghana Bhat, Yingbo Zhou
2023	J	`jnl`	Few-shot Unified Question Answering: Tuning Models or Prompts? CoRR Srijan Bansal, Semih Yavuz, Bo Pang, Meghana Bhat, Yingbo Zhou
2023	—	`conf`	General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation. ACL (Findings) Rui Meng, Tong Wang, Xingdi Yuan, Yingbo Zhou, Daqing He
2023	—	`conf`	HPE: Answering Complex Questions over Text by Hybrid Question Parsing and Execution. EMNLP (Findings) Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Shafiq Joty, Yingbo Zhou
2023	J	`jnl`	Investigating Answerability of LLMs for Long-Form Question Answering. CoRR Meghana Moorthy Bhat, Rui Meng, Ye Liu, Yingbo Zhou, Semih Yavuz
2023	J	`jnl`	L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models. CoRR Ansong Ni, Pengcheng Yin, Yilun Zhao, Martin Riddell, Troy Feng, Rui Shen, Stephen Yin, Ye Liu, Semih Yavuz, Caiming Xiong, Shafiq Joty, Yingbo Zhou, Dragomir Radev, Arman Cohan
2023	—	`conf`	Long Document Summarization with Top-down and Bottom-up Inference. EACL (Findings) Bo Pang, Erik Nijkamp, Wojciech Kryscinski, Silvio Savarese, Yingbo Zhou, Caiming Xiong
2023	J	`jnl`	Merlion: End-to-End Machine Learning for Time Series. J. Mach. Learn. Res. Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K. C. Krithika, Sukumar Maddineni, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang
2023	—	`conf`	SharPT: Shared Latent Space Prompt Tuning. EACL (Findings) Bo Pang, Semih Yavuz, Caiming Xiong, Yingbo Zhou
2023	A*	`conf`	UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. NeurIPS Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu
2023	J	`jnl`	UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. CoRR Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu
2023	J	`jnl`	Unlocking Anticipatory Text Generation: A Constrained Approach for Faithful Decoding with Large Language Models. CoRR Lifu Tu, Semih Yavuz, Jin Qu, Jiacheng Xu, Rui Meng, Caiming Xiong, Yingbo Zhou
2023	J	`jnl`	XGen-7B Technical Report. CoRR Erik Nijkamp, Tian Xie, Hiroaki Hayashi, Bo Pang, Congying Xia, Chen Xing, Jesse Vig, Semih Yavuz, Philippe Laban, Ben Krause, Senthil Purushwalkam, Tong Niu, Wojciech Kryscinski, Lidiya Murakhovs'ka, Prafulla Kumar Choubey, Alexander R. Fabbri, Ye Liu, Rui Meng, Lifu Tu, Meghana Bhat, Chien-Sheng Wu, Silvio Savarese, Yingbo Zhou, Shafiq Joty, Caiming Xiong
2022	J	`jnl`	A Conversational Paradigm for Program Synthesis. CoRR Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong
2022	J	`jnl`	Best-k Search Algorithm for Neural Text Generation. CoRR Jiacheng Xu, Caiming Xiong, Silvio Savarese, Yingbo Zhou
2022	J	`jnl`	BigIssue: A Realistic Bug Localization Benchmark. CoRR Paul Kassianik, Erik Nijkamp, Bo Pang, Yingbo Zhou, Caiming Xiong
2022	J	`jnl`	Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering. CoRR Man Luo, Kazuma Hashimoto, Semih Yavuz, Zhiwei Liu, Chitta Baral, Yingbo Zhou
2022	J	`jnl`	Converse: A Tree-Based Modular Task-Oriented Dialogue System. CoRR Tian Xie, Xinyi Yang, Angela S. Lin, Feihong Wu, Kazuma Hashimoto, Jin Qu, Young Mo Kang, Wenpeng Yin, Huan Wang, Semih Yavuz, Gang Wu, Michael Jones, Richard Socher, Yingbo Zhou, Wenhao Liu, Caiming Xiong
2022	A*	`conf`	Efficient and Differentiable Conformal Prediction with General Function Classes. ICLR Yu Bai, Song Mei, Huan Wang, Yingbo Zhou, Caiming Xiong
2022	J	`jnl`	Efficient and Differentiable Conformal Prediction with General Function Classes. CoRR Yu Bai, Song Mei, Huan Wang, Yingbo Zhou, Caiming Xiong
2022	A*	`conf`	Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization. NeurIPS Devansh Arpit, Huan Wang, Yingbo Zhou, Caiming Xiong
2022	J	`jnl`	General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation. CoRR Rui Meng, Tong Wang, Xingdi Yuan, Yingbo Zhou, Daqing He
2022	—	`conf`	Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control. NAACL-HLT (Findings) Haopeng Zhang, Semih Yavuz, Wojciech Kryscinski, Kazuma Hashimoto, Yingbo Zhou
2022	J	`jnl`	Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control. CoRR Haopeng Zhang, Semih Yavuz, Wojciech Kryscinski, Kazuma Hashimoto, Yingbo Zhou
2022	J	`jnl`	Long Document Summarization with Top-down and Bottom-up Inference. CoRR Bo Pang, Erik Nijkamp, Wojciech Kryscinski, Silvio Savarese, Yingbo Zhou, Caiming Xiong
2022	—	`conf`	Modeling Multi-hop Question Answering as Single Sequence Prediction. ACL (1) Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Nitish Shirish Keskar, Caiming Xiong
2022	J	`jnl`	Modeling Multi-hop Question Answering as Single Sequence Prediction. CoRR Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Nitish Shirish Keskar, Caiming Xiong
2022	—	`conf`	OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval. ACL (Findings) Tong Niu, Kazuma Hashimoto, Yingbo Zhou, Caiming Xiong
2022	J	`jnl`	OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval. CoRR Tong Niu, Kazuma Hashimoto, Yingbo Zhou, Caiming Xiong
2022	—	`conf`	Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models. EMNLP (Findings) Lifu Tu, Caiming Xiong, Yingbo Zhou
2022	J	`jnl`	Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models. CoRR Lifu Tu, Caiming Xiong, Yingbo Zhou
2022	—	`conf`	RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering. ACL (1) Xi Ye, Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Caiming Xiong
2022	A*	`conf`	Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database. EMNLP Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou
2022	J	`jnl`	Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database. CoRR Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou
2022	J	`jnl`	Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation. CoRR Rui Meng, Ye Liu, Semih Yavuz, Divyansh Agarwal, Lifu Tu, Ning Yu, Jianguo Zhang, Meghana Bhat, Yingbo Zhou
2021	A*	`conf`	CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers. ICLR Shiyang Li, Semih Yavuz, Kazuma Hashimoto, Jia Li, Tong Niu, Nazneen Fatema Rajani, Xifeng Yan, Yingbo Zhou, Caiming Xiong
2021	J	`jnl`	Dense Hierarchical Retrieval for Open-Domain Question Answering. CoRR Ye Liu, Kazuma Hashimoto, Yingbo Zhou, Semih Yavuz, Caiming Xiong, Philip S. Yu
2021	—	`conf`	Dense Hierarchical Retrieval for Open-domain Question Answering. EMNLP (Findings) Ye Liu, Kazuma Hashimoto, Yingbo Zhou, Semih Yavuz, Caiming Xiong, Philip S. Yu
2021	J	`jnl`	Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization. CoRR Devansh Arpit, Huan Wang, Yingbo Zhou, Caiming Xiong
2021	—	`conf`	Focused Attention Improves Document-Grounded Generation. NAACL-HLT Shrimai Prabhumoye, Kazuma Hashimoto, Yingbo Zhou, Alan W. Black, Ruslan Salakhutdinov
2021	J	`jnl`	Focused Attention Improves Document-Grounded Generation. CoRR Shrimai Prabhumoye, Kazuma Hashimoto, Yingbo Zhou, Alan W. Black, Ruslan Salakhutdinov
2021	J	`jnl`	Merlion: A Machine Learning Library for Time Series. CoRR Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K. C. Krithika, Sukumar Maddineni, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang
2021	A	`conf`	QueryBlazer: Efficient Query Autocompletion Framework. WSDM Young Mo Kang, Wenhao Liu, Yingbo Zhou
2021	A*	`conf`	Representation Learning for Sequence Data with Deep Autoencoding Predictive Components. ICLR Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong
2021	J	`jnl`	RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering. CoRR Xi Ye, Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Caiming Xiong
2021	—	`conf`	Testing Cross-Database Semantic Parsers With Canonical Utterances. Eval4NLP Heather C. Lent, Semih Yavuz, Tao Yu, Tong Niu, Yingbo Zhou, Dragomir Radev, Xi Victoria Lin
2021	—	`conf`	Unsupervised Paraphrasing with Pretrained Language Models. EMNLP (1) Tong Niu, Semih Yavuz, Yingbo Zhou, Nitish Shirish Keskar, Huan Wang, Caiming Xiong
2021	A*	`conf`	WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos. CVPR Mingfei Gao, Yingbo Zhou, Ran Xu, Richard Socher, Caiming Xiong
2020	A	`conf`	An Investigation of Phone-Based Subword Units for End-to-End Speech Recognition. INTERSPEECH Weiran Wang, Guangsen Wang, Aadyot Bhatnagar, Yingbo Zhou, Caiming Xiong, Richard Socher
2020	J	`jnl`	CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers. CoRR Shiyang Li, Semih Yavuz, Kazuma Hashimoto, Jia Li, Tong Niu, Nazneen Fatema Rajani, Xifeng Yan, Yingbo Zhou, Caiming Xiong
2020	J	`jnl`	Differentially Private Deep Learning with Smooth Sensitivity. CoRR Lichao Sun, Yingbo Zhou, Philip S. Yu, Caiming Xiong
2020	J	`jnl`	Fast and Robust Unsupervised Contextual Biasing for Speech Recognition. CoRR Young Mo Kang, Yingbo Zhou
2020	A*	`conf`	Online Structured Meta-learning. NeurIPS Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong
2020	J	`jnl`	Online Structured Meta-learning. CoRR Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong
2020	J	`jnl`	Representation Learning for Sequence Data with Deep Autoencoding Predictive Components. CoRR Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong
2020	J	`jnl`	Unsupervised Paraphrase Generation via Dynamic Blocking. CoRR Tong Niu, Semih Yavuz, Yingbo Zhou, Huan Wang, Nitish Shirish Keskar, Caiming Xiong
2020	J	`jnl`	WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos. CoRR Mingfei Gao, Yingbo Zhou, Ran Xu, Richard Socher, Caiming Xiong
2019	—	`conf`	Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation. ICLR (Poster) Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher
2019	A*	`conf`	Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting. ICML Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong
2019	J	`jnl`	Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting. CoRR Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong
2019	—	`conf`	Spelling Correction as a Foreign Language. eCOM@SIGIR Yingbo Zhou, Utkarsh Porwal, Roberto Konow
2018	A	`conf`	A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation. INTERSPEECH Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher
2018	J	`jnl`	A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation. CoRR Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher
2018	J	`jnl`	Augmented Cyclic Adversarial Learning for Domain Adaptation. CoRR Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher
2018	A*	`conf`	End-to-End Dense Video Captioning With Masked Transformer. CVPR Luowei Zhou, Yingbo Zhou, Jason J. Corso, Richard Socher, Caiming Xiong
2018	J	`jnl`	End-to-End Dense Video Captioning with Masked Transformer. CoRR Luowei Zhou, Yingbo Zhou, Jason J. Corso, Richard Socher, Caiming Xiong
2018	Misc	`conf`	Improving End-to-End Speech Recognition with Policy Learning. ICASSP Yingbo Zhou, Caiming Xiong, Richard Socher
2017	J	`jnl`	Improved Regularization Techniques for End-to-End Speech Recognition. CoRR Yingbo Zhou, Caiming Xiong, Richard Socher
2017	J	`jnl`	Improving End-to-End Speech Recognition with Policy Learning. CoRR Yingbo Zhou, Caiming Xiong, Richard Socher
2017	—	`conf`	Learning to Generate High Resolution Images with Bilateral Adversarial Networks. ICAIP Yingbo Zhou, Ifeoma Nwogu
2017	J	`jnl`	Spelling Correction as a Foreign Language. CoRR Yingbo Zhou, Utkarsh Porwal, Roberto Konow
2016	—	`conf`	Deep Secure Encoding for Face Template Protection. CVPR Workshops Rohit Kumar Pandey, Yingbo Zhou, Bhargava Urala Kota, Venu Govindaraju
2016	A*	`conf`	Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks. ICML Devansh Arpit, Yingbo Zhou, Bhargava Urala Kota, Venu Govindaraju
2016	J	`jnl`	Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks. CoRR Devansh Arpit, Yingbo Zhou, Bhargava Urala Kota, Venu Govindaraju
2016	J	`jnl`	Towards Optimality Conditions for Non-Linear Networks. CoRR Devansh Arpit, Hung Q. Ngo, Yingbo Zhou, Nils Napp, Venu Govindaraju
2016	A*	`conf`	Why Regularized Auto-Encoders learn Sparse Representation? ICML Devansh Arpit, Yingbo Zhou, Hung Q. Ngo, Venu Govindaraju
2015	J	`jnl`	Challenges in representation learning: A report on three machine learning contests. Neural Networks Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron C. Courville, Mehdi Mirza, Benjamin Hamner, William Cukierski, Yichuan Tang, David Thaler, Dong-hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Tudor Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Chuang Zhang, Yoshua Bengio
2015	J	`jnl`	Deep Secure Encoding: An Application to Face Recognition. CoRR Rohit Pandey, Yingbo Zhou, Venu Govindaraju
2015	J	`jnl`	Maximum Entropy Binary Encoding for Face Template Protection. CoRR Rohit Kumar Pandey, Yingbo Zhou, Bhargava Urala Kota, Venu Govindaraju
2015	J	`jnl`	Why Regularized Auto-Encoders learn Sparse Representation? CoRR Devansh Arpit, Yingbo Zhou, Hung Q. Ngo, Venu Govindaraju
2014	J	`jnl`	Learning Deep Autoencoders without Layer-wise Training. CoRR Yingbo Zhou
2014	—	`conf`	Parallel Feature Selection Inspired by Group Testing. NIPS Yingbo Zhou, Utkarsh Porwal, Ce Zhang, Hung Q. Ngo, XuanLong Nguyen, Christopher Ré, Venu Govindaraju
2014	B	`conf`	Shared features for multiple face-based biometrics. SMC Ifeoma Nwogu, Yingbo Zhou
2013	—	`conf`	Challenges in Representation Learning: A Report on Three Machine Learning Contests. ICONIP (3) Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron C. Courville, Mehdi Mirza, Benjamin Hamner, William Cukierski, Yichuan Tang, David Thaler, Dong-hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Tudor Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Chuang Zhang, Yoshua Bengio
2013	J	`jnl`	Challenges in Representation Learning: A report on three machine learning contests. CoRR Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron C. Courville, Mehdi Mirza, Benjamin Hamner, William Cukierski, Yichuan Tang, David Thaler, Dong-hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Tudor Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Chuang Zhang, Yoshua Bengio
2013	J	`jnl`	Labeling Spain With Stanford. IEEE Trans. Image Process. Yingbo Zhou, Ifeoma Nwogu, Venu Govindaraju
2012	B	`conf`	Handwritten Arabic text recognition using Deep Belief Networks. ICPR Utkarsh Porwal, Yingbo Zhou, Venu Govindaraju
2012	J	`jnl`	Human Identification Using Finger Images. IEEE Trans. Image Process. Ajay Kumar, Yingbo Zhou
2011	—	`conf`	An ontology for generating descriptions about natural outdoor scenes. ICCV Workshops Ifeoma Nwogu, Yingbo Zhou, Christopher Brown
2011	—	`conf`	Contactless fingerprint identification using level zero features. CVPR Workshops Ajay Kumar, Yingbo Zhou
2011	A*	`conf`	DISCO: Describing Images Using Scene Contexts and Objects. AAAI Ifeoma Nwogu, Yingbo Zhou, Christopher Brown
2011	—	`conf`	Generating Visual Content from Images via Segmentation. IWCIA Special Track on Applications Yingbo Zhou, Ifeoma Nwogu, Venu Govindaraju
2011	J	`jnl`	Human Identification Using Palm-Vein Images. IEEE Trans. Inf. Forensics Secur. Yingbo Zhou, Ajay Kumar
2010	—	`conf`	Contactless palm vein identification using multiple representations. BTAS Yingbo Zhou, Ajay Kumar
2010	B	`conf`	Personal Identification from Iris Images Using Localized Radon Transform. ICPR Yingbo Zhou, Ajay Kumar