Zhou, Yingbo

28 publications

ICLRW 2025 BOLT: Bootstrap Long Chain-of-Thought in Language Models Without Distillation Bo Pang, Hanze Dong, Jiacheng Xu, Silvio Savarese, Yingbo Zhou, Caiming Xiong

NeurIPS 2025 Breaking the Batch Barrier (b3) of Contrastive Learning via Smart Batch Mining Raghuveer Thirukovalluru, Rui Meng, Ye Liu, Karthikeyan K, Mingyi Su, Ping Nie, Semih Yavuz, Yingbo Zhou, Wenhu Chen, Bhuwan Dhingra

ICLRW 2025 CLOVER: A Test Case Generation Benchmark with Coverage, Long-Context, and Verification Jiacheng Xu, Bo Pang, Jin Qu, Hiroaki Hayashi, Caiming Xiong, Yingbo Zhou

ICLR 2025 Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, R N Rithesh, Tian Lan, Lei Li, Renze Lou, Jiacheng Xu, Bo Pang, Yingbo Zhou, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong

ICLR 2025 VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks Ziyan Jiang, Rui Meng, Xinyi Yang, Semih Yavuz, Yingbo Zhou, Wenhu Chen

CVPR 2024 Exact Fusion via Feature Distribution Matching for Few-Shot Image Generation Yingbo Zhou, Yutong Ye, Pengyu Zhang, Xian Wei, Mingsong Chen

NeurIPS 2024 INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness Hung Le, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Doyen Sahoo

TMLR 2024 RLHF Workflow: From Reward Modeling to Online RLHF Hanze Dong, Wei Xiong, Bo Pang, Haoxiang Wang, Han Zhao, Yingbo Zhou, Nan Jiang, Doyen Sahoo, Caiming Xiong, Tong Zhang

NeurIPS 2024 WaveAttack: Asymmetric Frequency Obfuscation-Based Backdoor Attacks Against Deep Neural Networks Jun Xia, Zhihao Yue, Yingbo Zhou, Zhiwei Ling, Yiyu Shi, Xian Wei, Mingsong Chen

ECCVW 2024 xGen-VideoSyn-1: High-Fidelity Text-to-Video Synthesis with Compressed Representations 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

ICLR 2023 CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong

IJCAI 2023 InitLight: Initial Model Generation for Traffic Signal Control Using Adversarial Inverse Reinforcement Learning Yutong Ye, Yingbo Zhou, Jiepin Ding, Ting Wang, Mingsong Chen, Xiang Lian

MLOSS 2023 Merlion: End-to-End Machine Learning for Time Series 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, Daeki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven Hoi, Huan Wang

NeurIPS 2023 UniControl: A Unified Diffusion Model for Controllable Visual Generation in the Wild 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

ICLR 2022 Efficient and Differentiable Conformal Prediction with General Function Classes Yu Bai, Song Mei, Huan Wang, Yingbo Zhou, Caiming Xiong

NeurIPS 2022 Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization Devansh Arpit, Huan Wang, Yingbo Zhou, Caiming Xiong

ICLR 2021 COCO: Controllable Counterfactuals for Evaluating Dialogue State Trackers Shiyang Li, Semih Yavuz, Kazuma Hashimoto, Jia Li, Tong Niu, Nazneen Rajani, Xifeng Yan, Yingbo Zhou, Caiming Xiong

ICLR 2021 Representation Learning for Sequence Data with Deep Autoencoding Predictive Components Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong

CVPR 2021 WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos Mingfei Gao, Yingbo Zhou, Ran Xu, Richard Socher, Caiming Xiong

NeurIPS 2020 Online Structured Meta-Learning Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong

ICLR 2019 Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher

ICML 2019 Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong

CVPRW 2016 Deep Secure Encoding for Face Template Protection Rohit Kumar Pandey, Yingbo Zhou, Bhargava Urala Kota, Venu Govindaraju

ICML 2016 Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks Devansh Arpit, Yingbo Zhou, Bhargava Kota, Venu Govindaraju

ICML 2016 Why Regularized Auto-Encoders Learn Sparse Representation? Devansh Arpit, Yingbo Zhou, Hung Ngo, Venu Govindaraju

NeurIPS 2014 Parallel Feature Selection Inspired by Group Testing Yingbo Zhou, Utkarsh Porwal, Ce Zhang, Hung Q Ngo, Xuanlong Nguyen, Christopher Ré, Venu Govindaraju

CVPRW 2011 Contactless Fingerprint Identification Using Level Zero Features Ajay Kumar, Yingbo Zhou

AAAI 2011 DISCO: Describing Images Using Scene Contexts and Objects Ifeoma Nwogu, Yingbo Zhou, Christopher Brown