Yu, Zhou

39 publications

ICML 2025 A General Framework for Inference-Time Scaling and Steering of Diffusion Models Raghav Singhal, Zachary Horvitz, Ryan Teehan, Mengye Ren, Zhou Yu, Kathleen Mckeown, Rajesh Ranganath

NeurIPS 2025 An Effective Levelling Paradigm for Unlabeled Scenarios Fangming Cui, Zhou Yu, Di Yang, Yuqiang Ren, Liang Xiao, Xinmei Tian

ICLR 2025 ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning Xiao Yu, Baolin Peng, Vineeth Vajipey, Hao Cheng, Michel Galley, Jianfeng Gao, Zhou Yu

ICCV 2025 Growing a Twig to Accelerate Large Vision-Language Models Zhenwei Shao, Mingyang Wang, Zhou Yu, Wenwen Pan, Yan Yang, Tao Wei, Hongyuan Zhang, Ning Mao, Wei Chen, Jun Yu

AAAI 2025 Neural Networks Perform Sufficient Dimension Reduction Shuntuo Xu, Zhou Yu

AAAI 2025 Probability-Density-Aware Semi-Supervised Learning Shuyang Liu, Ruiqiu Zheng, Yunhang Shen, Zhou Yu, Ke Li, Xing Sun, Shaohui Lin

IJCAI 2025 Self-Classification Enhancement and Correction for Weakly Supervised Object Detection Yufei Yin, Lechao Cheng, Wengang Zhou, Jiajun Deng, Zhou Yu, Houqiang Li

NeurIPS 2025 When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Xiaomin Li, Zhou Yu, Zhiwei Zhang, Xupeng Chen, Ziji Zhang, Yingying Zhuang, Narayanan Sadagopan, Anurag Beniwal

ICML 2024 Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations Yanda Chen, Ruiqi Zhong, Narutatsu Ri, Chen Zhao, He He, Jacob Steinhardt, Zhou Yu, Kathleen Mckeown

CVPR 2024 MPOD123: One Image to 3D Content Generation Using Mask-Enhanced Progressive Outline-to-Detail Optimization Jimin Xu, Tianbao Wang, Tao Jin, Shengyu Zhang, Dongjie Fu, Zhe Wang, Jiangjing Lyu, Chengfei Lv, Chaoyue Niu, Zhou Yu, Zhou Zhao, Fei Wu

AAAI 2024 ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer Zachary Horvitz, Ajay Patel, Chris Callison-Burch, Zhou Yu, Kathleen R. McKeown

JMLR 2024 Random Forest Weighted Local Fréchet Regression with Random Objects Rui Qiu, Zhou Yu, Ruoqing Zhu

AAAI 2024 SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space Yunchen Li, Zhou Yu, Gaoqi He, Yunhang Shen, Ke Li, Xing Sun, Shaohui Lin

CVPR 2024 The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes Myeongseob Ko, Feiyang Kang, Weiyan Shi, Ming Jin, Zhou Yu, Ruoxi Jia

CVPR 2023 ANetQA: A Large-Scale Benchmark for Fine-Grained Compositional Reasoning over Untrimmed Videos Zhou Yu, Lixiang Zheng, Zhou Zhao, Fei Wu, Jianping Fan, Kui Ren, Jun Yu

AAAI 2023 Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation Linrui Gong, Shaohui Lin, Baochang Zhang, Yunhang Shen, Ke Li, Ruizhi Qiao, Bo Ren, Muqing Li, Zhou Yu, Lizhuang Ma

AAAI 2023 MIGA: A Unified Multi-Task Generation Framework for Conversational Text-to-SQL Yingwen Fu, Wenjie Ou, Zhou Yu, Yue Lin

CVPR 2023 Prompting Large Language Models with Answer Heuristics for Knowledge-Based Visual Question Answering Zhenwei Shao, Zhou Yu, Meng Wang, Jun Yu

ACML 2023 State Value Generation with Prompt Learning and Self-Training for Low-Resource Dialogue State Tracking Ming Gu, Yan Yang, Chengcai Chen, Zhou Yu

CVPR 2022 Unsupervised Vision-and-Language Pre-Training via Retrieval-Based Multi-Granular Alignment Mingyang Zhou, Licheng Yu, Amanpreet Singh, Mengjiao Wang, Zhou Yu, Ning Zhang

NeurIPSW 2022 Weakly Supervised Data Augmentation Through Prompting for Dialogue Understanding Maximillian Chen, Alexandros Papangelis, Chenyang Tao, Andy Rosenbaum, Seokhwan Kim, Yang Liu, Zhou Yu, Dilek Hakkani-Tur

AAAI 2021 A Student-Teacher Architecture for Dialog Domain Adaptation Under the Meta-Learning Setting Kun Qian, Wei Wei, Zhou Yu

AAAI 2021 ACAT-G: An Interactive Learning Framework for Assisted Response Generation Xueyuan Lu, Saurav Sahay, Zhou Yu, Lama Nachman

AAAI 2021 Perception Score: A Learned Metric for Open-Ended Text Generation Evaluation Jing Gu, Qingyang Wu, Zhou Yu

AAAI 2021 TextGAIL: Generative Adversarial Imitation Learning for Text Generation Qingyang Wu, Lei Li, Zhou Yu

CVPR 2021 UC2: Universal Cross-Lingual Cross-Modal Vision-and-Language Pre-Training Mingyang Zhou, Luowei Zhou, Shuohang Wang, Yu Cheng, Linjie Li, Zhou Yu, Jingjing Liu

ICLR 2020 Abstractive Dialog Summarization with Semantic Scaffolds Lin Yuan, Zhou Yu

ICLR 2020 Augmenting Non-Collaborative Dialog Systems with Explicit Semantic and Strategic Dialog History Yiheng Zhou, Yulia Tsvetkov, Alan W Black, Zhou Yu

AAAI 2020 End-to-End Trainable Non-Collaborative Dialog System Yu Li, Kun Qian, Weiyan Shi, Zhou Yu

AAAI 2020 Filling Conversation Ellipsis for Better Social Dialog Understanding Xiyuan Zhang, Chengxi Li, Dian Yu, Samuel Davidson, Zhou Yu

AAAI 2020 Importance-Aware Learning for Neural Headline Editing Qingyang Wu, Lei Li, Hao Zhou, Ying Zeng, Zhou Yu

AAAI 2020 MOSS: End-to-End Dialog System Framework with Modular Supervision Weixin Liang, Youzhi Tian, Chengcai Chen, Zhou Yu

AAAI 2020 Task-Oriented Dialog Systems That Consider Multiple Appropriate Responses Under the Same Context Yichi Zhang, Zhijian Ou, Zhou Yu

AAAI 2019 ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering Zhou Yu, Dejing Xu, Jun Yu, Ting Yu, Zhou Zhao, Yueting Zhuang, Dacheng Tao

AAAI 2019 Incorporating Structured Commonsense Knowledge in Story Completion Jiaao Chen, Jianshu Chen, Zhou Yu

IJCAI 2018 Open-Ended Long-Form Video Question Answering via Adaptive Hierarchical Reinforced Networks Zhou Zhao, Zhu Zhang, Shuwen Xiao, Zhou Yu, Jun Yu, Deng Cai, Fei Wu, Yueting Zhuang

IJCAI 2018 Rethinking Diversified and Discriminative Proposal Generation for Visual Grounding Zhou Yu, Jun Yu, Chenchao Xiang, Zhou Zhao, Qi Tian, Dacheng Tao

IJCAI 2017 Learning Conversational Systems That Interleave Task and Non-Task Content Zhou Yu, Alexander I. Rudnicky, Alan W. Black

ICCV 2017 Multi-Modal Factorized Bilinear Pooling with Co-Attention Learning for Visual Question Answering Zhou Yu, Jun Yu, Jianping Fan, Dacheng Tao