Guo, Qi

48 publications

IJCAI 2025 Automated Superscalar Processor Design by Learning Data Dependencies Shuyao Cheng, Rui Zhang, Wenkai He, Pengwei Jin, Chongxiao Li, Zidong Du, Xing Hu, Yifan Hao, Guanglin Xu, Yuanbo Wen, Ling Li, Qi Guo, Yunji Chen

CVPR 2025 Blurry-Edges: Photon-Limited Depth Estimation from Defocused Boundaries Wei Xu, Charles James Wagner, Junjie Luo, Qi Guo

ICLR 2025 Causal Effect Estimation with Mixed Latent Confounders and Post-Treatment Variables Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li

CVPR 2025 Focal Split: Untethered Snapshot Depth from Differential Defocus Junjie Luo, John Mamish, Alan Fu, Thomas Concannon, Josiah Hester, Emma Alexander, Qi Guo

ICCV 2025 Forgetting Through Transforming: Enabling Federated Unlearning via Class-Aware Representation Transformation Qi Guo, Zhen Tian, Minghao Yao, Saiyu Qi, Yong Qi, Bingyi Liu

AAAI 2025 InverseCoder: Self-Improving Instruction-Tuned Code LLMs with Inverse-Instruct Yutong Wu, Di Huang, Wenxuan Shi, Wei Wang, Yewen Pu, Lingzhe Gao, Shihao Liu, Ziyuan Nan, Kaizhao Yuan, Rui Zhang, Xishan Zhang, Zidong Du, Qi Guo, Dawei Yin, Xing Hu, Yunji Chen

NeurIPS 2025 MigGPT: Harnessing Large Language Models for Automated Migration of Out-of-Tree Linux Kernel Patches Across Versions Pucheng Dang, Di Huang, Dong Li, Kang Chen, Yuanbo Wen, Qi Guo, Xing Hu

NeurIPS 2025 QiMeng-CodeV-R1: Reasoning-Enhanced Verilog Generation Yaoyu Zhu, Di Huang, Hanqi Lyu, Xiaoyun Zhang, Chongxiao Li, Wenxuan Shi, Yutong Wu, Jianan Mu, Jinghua Wang, Yang Zhao, Pengwei Jin, Shuyao Cheng, Shengwen Liang, Xishan Zhang, Rui Zhang, Zidong Du, Qi Guo, Xing Hu, Yunji Chen

AAAI 2025 QiMeng-GEMM: Automatically Generating High-Performance Matrix Multiplication Code by Exploiting Large Language Models Qirui Zhou, Yuanbo Wen, Ruizhi Chen, Ke Gao, Weiqiang Xiong, Ling Li, Qi Guo, Yanjun Wu, Yunji Chen

NeurIPS 2025 QiMeng-MuPa: Mutual-Supervised Learning for Sequential-to-Parallel Code Translation Changxin Ke, Rui Zhang, Shuo Wang, Li Ding, Guangli Li, Yuanbo Wen, Shuoming Zhang, Ruiyuan Xu, Jin Qin, Jiaming Guo, Chenxi Wang, Ling Li, Qi Guo, Yunji Chen

NeurIPS 2025 QiMeng-NeuComBack: Self-Evolving Translation from IR to Assembly Code Hainan Fang, Yuanbo Wen, Jun Bi, Yihan Wang, Tonghui He, Yanlin Tang, Di Huang, Jiaming Guo, Rui Zhang, Qi Guo, Yunji Chen

NeurIPS 2025 QiMeng-SALV: Signal-Aware Learning for Verilog Code Generation Yang Zhang, Rui Zhang, Jiaming Guo, Huang Lei, Di Huang, Yunpu Zhao, Shuyao Cheng, Pengwei Jin, Chongxiao Li, Zidong Du, Xing Hu, Qi Guo, Yunji Chen

IJCAI 2025 QiMeng-TensorOp: One-Line Prompt Is Enough for High-Performance Tensor Operator Generation with Hardware Primitives Xuzhi Zhang, Shaohui Peng, Qirui Zhou, Yuanbo Wen, Qi Guo, Ruizhi Chen, Xinguo Zhu, Weiqiang Xiong, Haixin Chen, Congying Ma, Ke Gao, Chen Zhao, Yanjun Wu, Yunji Chen, Ling Li

NeurIPS 2025 SemCoT: Accelerating Chain-of-Thought Reasoning Through Semantically-Aligned Implicit Tokens Yinhan He, Wendy Zheng, Yaochen Zhu, Zaiyi Zheng, Lin Su, Sriram Vasudevan, Qi Guo, Liangjie Hong, Jundong Li

ICML 2024 AutoOS: Make Your OS More Powerful by Exploiting Large Language Models Huilai Chen, Yuanbo Wen, Limin Cheng, Shouxu Kuang, Yumeng Liu, Weijia Li, Ling Li, Rui Zhang, Xinkai Song, Wei Li, Qi Guo, Yunji Chen

NeurIPS 2024 AutoSurvey: Large Language Models Can Automatically Write Surveys Yidong Wang, Qi Guo, Wenjin Yao, Hongbo Zhang, Xin Zhang, Zhen Wu, Meishan Zhang, Xinyu Dai, Min Zhang, Qingsong Wen, Wei Ye, Shikun Zhang, Yue Zhang

IJCAI 2024 Automated CPU Design by Learning from Input-Output Examples Shuyao Cheng, Pengwei Jin, Qi Guo, Zidong Du, Rui Zhang, Xing Hu, Yongwei Zhao, Yifan Hao, Xiangtao Guan, Husheng Han, Zhengyue Zhao, Ximing Liu, Xishan Zhang, Yuejie Chu, Weilong Mao, Tianshi Chen, Yunji Chen

CVPR 2024 Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? Zhengyue Zhao, Jinhao Duan, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Xing Hu

NeurIPS 2024 ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation Yizhuo Ma, Shanmin Pang, Qi Guo, Tianyu Wei, Qing Guo

AAAI 2024 Emergent Communication for Numerical Concepts Generalization Enshuai Zhou, Yifan Hao, Rui Zhang, Yuxuan Guo, Zidong Du, Xishan Zhang, Xinkai Song, Chao Wang, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen

CVPR 2024 Generative Quanta Color Imaging Vishal Purohit, Junjie Luo, Yiheng Chi, Qi Guo, Stanley H. Chan, Qiang Qiu

AAAI 2024 Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning Shaohui Peng, Xing Hu, Qi Yi, Rui Zhang, Jiaming Guo, Di Huang, Zikang Tian, Ruizhi Chen, Zidong Du, Qi Guo, Yunji Chen, Ling Li

ICML 2024 Prompt-Based Visual Alignment for Zero-Shot Policy Transfer Haihan Gao, Rui Zhang, Qi Yi, Hantao Yao, Haochen Li, Jiaming Guo, Shaohui Peng, Yunkai Gao, Qicheng Wang, Xing Hu, Yuanbo Wen, Zihao Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen

ECCV 2024 REDIR: Refocus-Free Event-Based De-Occlusion Image Reconstruction Qi Guo, Hailong Shi, Huan Li, Jinsheng Xiao, Xingyu Gao

ICLRW 2024 Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation Zhengyue Zhao, Jinhao Duan, Xing Hu, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Yunji Chen

NeurIPS 2023 ANPL: Towards Natural Programming with Interactive Decomposition Di Huang, Ziyuan Nan, Xing Hu, Pengwei Jin, Shaohui Peng, Yuanbo Wen, Rui Zhang, Zidong Du, Qi Guo, Yewen Pu, Yunji Chen

ICLR 2023 BALTO: Fast Tensor Program Optimization with Diversity-Based Active Learning Jun Bi, Xiaqing Li, Qi Guo, Rui Zhang, Yuanbo Wen, Xing Hu, Zidong Du, Xinkai Song, Yifan Hao, Yunji Chen

AAAI 2023 Conceptual Reinforcement Learning for Language-Conditioned Tasks Shaohui Peng, Xing Hu, Rui Zhang, Jiaming Guo, Qi Yi, Ruizhi Chen, Zidong Du, Ling Li, Qi Guo, Yunji Chen

NeurIPS 2023 Context Shift Reduction for Offline Meta-Reinforcement Learning Yunkai Gao, Rui Zhang, Jiaming Guo, Fan Wu, Qi Yi, Shaohui Peng, Siming Lan, Ruizhi Chen, Zidong Du, Xing Hu, Qi Guo, Ling Li, Yunji Chen

NeurIPS 2023 Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning Zikang Tian, Ruizhi Chen, Xing Hu, Ling Li, Rui Zhang, Fan Wu, Shaohui Peng, Jiaming Guo, Zidong Du, Qi Guo, Yunji Chen

NeurIPS 2023 Efficient Symbolic Policy Learning with Differentiable Symbolic Expression Jiaming Guo, Rui Zhang, Shaohui Peng, Qi Yi, Xing Hu, Ruizhi Chen, Zidong Du, Xishan Zhang, Ling Li, Qi Guo, Yunji Chen

NeurIPS 2023 Emergent Communication for Rules Reasoning Yuxuan Guo, Yifan Hao, Rui Zhang, Enshuai Zhou, Zidong Du, Xishan Zhang, Xinkai Song, Yuanbo Wen, Yongwei Zhao, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen

ICML 2023 Online Prototype Alignment for Few-Shot Policy Transfer Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Yunkai Gao, Kaizhao Yuan, Ruizhi Chen, Siming Lan, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen

AAAI 2023 Online Symbolic Regression with Informative Query Pengwei Jin, Di Huang, Rui Zhang, Xing Hu, Ziyuan Nan, Zidong Du, Qi Guo, Yunji Chen

ICML 2023 Quantized Distributed Training of Large Models with Convergence Guarantees Ilia Markov, Adrian Vladu, Qi Guo, Dan Alistarh

ICML 2022 BabelTower: Learning to Auto-Parallelized Program Translation Yuanbo Wen, Qi Guo, Qiang Fu, Xiaqing Li, Jianxing Xu, Yanlin Tang, Yongwei Zhao, Xing Hu, Zidong Du, Ling Li, Chao Wang, Xuehai Zhou, Yunji Chen

NeurIPS 2022 Causality-Driven Hierarchical Structure Discovery for Reinforcement Learning Shaohui Peng, Xing Hu, Rui Zhang, Ke Tang, Jiaming Guo, Qi Yi, Ruizhi Chen, Xishan Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen

ICLR 2022 Neural Program Synthesis with Query Di Huang, Rui Zhang, Xing Hu, Xishan Zhang, Pengwei Jin, Nan Li, Zidong Du, Qi Guo, Yunji Chen

NeurIPS 2022 Object-Category Aware Reinforcement Learning Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen

IJCAI 2021 Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment Jiaming Guo, Rui Zhang, Xishan Zhang, Shaohui Peng, Qi Yi, Zidong Du, Xing Hu, Qi Guo, Yunji Chen

NeurIPS 2021 ScaleCert: Scalable Certified Defense Against Adversarial Patches with Sparse Superficial Layers Husheng Han, Kaidi Xu, Xing Hu, Xiaobing Chen, Ling Liang, Zidong Du, Qi Guo, Yanzhi Wang, Yunji Chen

AAAI 2020 DWM: A Decomposable Winograd Method for Convolution Acceleration Di Huang, Xishan Zhang, Rui Zhang, Tian Zhi, Deyuan He, Jiaming Guo, Chang Liu, Qi Guo, Zidong Du, Shaoli Liu, Tianshi Chen, Yunji Chen

ECCV 2018 Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset Qi Guo, Iuri Frosio, Orazio Gallo, Todd Zickler, Jan Kautz

ICCV 2017 Focal Track: Depth and Accommodation with Oscillating Lens Deformation Qi Guo, Emma Alexander, Todd Zickler

CVPRW 2017 NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jaejun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo

ECCV 2016 Focal Flow: Measuring Distance and Velocity with Defocus and Differential Motion Emma Alexander, Qi Guo, Sanjeev J. Koppal, Steven J. Gortler, Todd E. Zickler

IJCAI 2016 Questimator: Generating Knowledge Assessments for Arbitrary Topics Qi Guo, Chinmay Kulkarni, Aniket Kittur, Jeffrey P. Bigham, Emma Brunskill

IJCAI 2011 Effective and Efficient Microprocessor Design Space Exploration Using Unlabeled Design Configurations Qi Guo, Tianshi Chen, Yunji Chen, Zhi-Hua Zhou, Weiwu Hu, Zhiwei Xu