Zhenguo Li

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 310

Top Venues

Publications

Zhao Wang, Aoxue Li, Zhenguo Li, Qi Dou
Efficient Transferability Assessment for Selection of Pre-trained Detectors. WACV (2024)
Tianwei Xiong, Yue Wu, Enze Xie, Yue Wu, Zhenguo Li, Xihui Liu
Editing Massive Concepts in Text-to-Image Diffusion Models. CoRR (2024)
Jiacheng Ye, Shansan Gong, Liheng Chen, Lin Zheng, Jiahui Gao, Han Shi, Chuan Wu, Zhenguo Li, Wei Bi, Lingpeng Kong
Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models. CoRR (2024)
Zhenyu Wang, Aoxue Li, Zhenguo Li, Xihui Liu
GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing. CoRR (2024)
Yihang Gao, Chuanyang Zheng, Enze Xie, Han Shi, Tianyang Hu, Yu Li, Michael K. Ng, Zhenguo Li, Zhaoqiang Liu
On the Expressive Power of a Variant of the Looped Transformer. CoRR (2024)
Kai Chen, Chunwei Wang, Kuo Yang, Jianhua Han, Lanqing Hong, Fei Mi, Hang Xu, Zhengying Liu, Wenyong Huang, Zhenguo Li, Dit-Yan Yeung, Lifeng Shang
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis. ICLR (2024)
Zhao Wang, Aoxue Li, Zhenguo Li, Qi Dou
Efficient Transferability Assessment for Selection of Pre-trained Detectors. CoRR (2024)
Zhili Liu, Kai Chen, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, James T. Kwok
Task-customized Masked AutoEncoder via Mixture of Cluster-conditional Experts. CoRR (2024)
Chuanyang Zheng, Yihang Gao, Han Shi, Minbin Huang, Jingyao Li, Jing Xiong, Xiaozhe Ren, Michael K. Ng, Xin Jiang, Zhenguo Li, Yu Li
CAPE: Context-Adaptive Positional Encoding for Length Extrapolation. CoRR (2024)
Yingji Zhong, Lanqing Hong, Zhenguo Li, Dan Xu
CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs. CoRR (2024)
Zhenyu Wang, Enze Xie, Aoxue Li, Zhongdao Wang, Xihui Liu, Zhenguo Li
Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation. CoRR (2024)
Aoxue Li, Mingyang Yi, Zhenguo Li
Enhancing Text-to-Image Editing via Hybrid Mask-Informed Fusion. CoRR (2024)
Zhao Wang, Aoxue Li, Fengwei Zhou, Zhenguo Li, Qi Dou
Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization. CoRR (2024)
Yibo Wang, Ruiyuan Gao, Kai Chen, Kaiqiang Zhou, Yingjie Cai, Lanqing Hong, Zhenguo Li, Lihui Jiang, Dit-Yan Yeung, Qiang Xu, Kai Zhang
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception. CoRR (2024)
Kai Chen, Enze Xie, Zhe Chen, Yibo Wang, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung
GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation. ICLR (2024)
Jingyao Li, Han Shi, Xin Jiang, Zhenguo Li, Hong Xu, Jiaya Jia
QuickLLaMA: Query-aware Inference Acceleration for Large Language Models. CoRR (2024)
Jiajun Ma, Shuchen Xue, Tianyang Hu, Wenjia Wang, Zhaoqiang Liu, Zhenguo Li, Zhi-Ming Ma, Kenji Kawaguchi
The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling. CoRR (2024)
Shuchen Xue, Zhaoqiang Liu, Fei Chen, Shifeng Zhang, Tianyang Hu, Enze Xie, Zhenguo Li
Accelerating Diffusion Sampling with Optimized Time Steps. CoRR (2024)
Yao Teng, Yue Wu, Han Shi, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu
DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis. CoRR (2024)
Kaiyue Sun, Kaiyi Huang, Xian Liu, Yue Wu, Zihan Xu, Zhenguo Li, Xihui Liu
T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation. CoRR (2024)
Chuanyang Zheng, Haiming Wang, Enze Xie, Zhengying Liu, Jiankai Sun, Huajian Xin, Jianhao Shen, Zhenguo Li, Yu Li
Lyra: Orchestrating Dual Correction in Automated Theorem Proving. Trans. Mach. Learn. Res. 2024 (2024)
Yanze Li, Wenhua Zhang, Kai Chen, Yanxin Liu, Pengxiang Li, Ruiyuan Gao, Lanqing Hong, Meng Tian, Xinhai Zhao, Zhenguo Li, Dit-Yan Yeung, Huchuan Lu, Xu Jia
Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases. CoRR (2024)
Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu
MagicDrive: Street View Generation with Diverse 3D Geometry Control. ICLR (2024)
Yuanfeng Ji, Chongjian Ge, Weikai Kong, Enze Xie, Zhengying Liu, Zhenguo Li, Ping Luo
Large Language Models as Automated Aligners for benchmarking Vision-Language Models. ICLR (2024)
Zhihui Xie, Jiahui Gao, Lei Li, Zhenguo Li, Qi Liu, Lingpeng Kong
Jailbreaking as a Reward Misspecification Problem. CoRR (2024)
Yinya Huang, Xiaohan Lin, Zhengying Liu, Qingxing Cao, Huajian Xin, Haiming Wang, Zhenguo Li, Linqi Song, Xiaodan Liang
MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data. ICLR (2024)
Jingyang Ou, Shen Nie, Kaiwen Xue, Fengqi Zhu, Jiacheng Sun, Zhenguo Li, Chongxuan Li
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data. CoRR (2024)
Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan
Contextualizing Meta-Learning via Learning to Decompose. IEEE Trans. Pattern Anal. Mach. Intell. 46 (1) (2024)
Junsong Chen, Yue Wu, Simian Luo, Enze Xie, Sayak Paul, Ping Luo, Hang Zhao, Zhenguo Li
PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models. CoRR (2024)
Ruiyuan Gao, Kai Chen, Zhihao Li, Lanqing Hong, Zhenguo Li, Qiang Xu
MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes. CoRR (2024)
Xiaohan Lin, Qingxing Cao, Yinya Huang, Zhicheng Yang, Zhengying Liu, Zhenguo Li, Xiaodan Liang
ATG: Benchmarking Automated Theorem Generation for Generative Language Models. CoRR (2024)
Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang, Zhenguo Li, James T. Kwok
Forward-Backward Reasoning in Large Language Models for Mathematical Verification. ACL (Findings) (2024)
Jian Ding, Enze Xie, Hang Xu, Chenhan Jiang, Zhenguo Li, Ping Luo, Gui-Song Xia
Deeply Unsupervised Patch Re-Identification for Pre-Training Object Detectors. IEEE Trans. Pattern Anal. Mach. Intell. 46 (3) (2024)
Junsong Chen, Jincheng Yu, Chongjian Ge, Lewei Yao, Enze Xie, Zhongdao Wang, James T. Kwok, Ping Luo, Huchuan Lu, Zhenguo Li
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis. ICLR (2024)
Tianqi Wang, Sukmin Kim, Wenxuan Ji, Enze Xie, Chongjian Ge, Junsong Chen, Zhenguo Li, Ping Luo
DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving. AAAI (2024)
Junsong Chen, Chongjian Ge, Enze Xie, Yue Wu, Lewei Yao, Xiaozhe Ren, Zhongdao Wang, Ping Luo, Huchuan Lu, Zhenguo Li
PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation. CoRR (2024)
Yinya Huang, Xiaohan Lin, Zhengying Liu, Qingxing Cao, Huajian Xin, Haiming Wang, Zhenguo Li, Linqi Song, Xiaodan Liang
MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data. CoRR (2024)
Lewei Yao, Renjie Pi, Jianhua Han, Xiaodan Liang, Hang Xu, Wei Zhang, Zhenguo Li, Dan Xu
DetCLIPv3: Towards Versatile Generative Open-vocabulary Object Detection. CoRR (2024)
Tianqi Wang, Enze Xie, Ruihang Chu, Zhenguo Li, Ping Luo
DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Driving. CoRR (2024)
Mingyang Yi, Aoxue Li, Yi Xin, Zhenguo Li
Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model. CoRR (2024)
Zhiwei Wang, Yunji Wang, Zhongwang Zhang, Zhangchen Zhou, Hui Jin, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Yaoyu Zhang, Zhi-Qin John Xu
Towards Understanding How Transformer Perform Multi-step Reasoning with Matching Operation. CoRR (2024)
Zhili Liu, Yunhao Gou, Kai Chen, Lanqing Hong, Jiahui Gao, Fei Mi, Yu Zhang, Zhenguo Li, Xin Jiang, Qun Liu, James T. Kwok
Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment. CoRR (2024)
Yaning Wang, Zhenguo Li, Peng Wang, Yihang Cheng, Fule Li, Yi Hu, Jiali Hou, Meng Su, Mengjiao Li
A Floating-Ring Hybrid Amplifier Insensitive to PVT and Common-mode Variation without CMFB for High-Speed ADCs. ISCAS (2024)
Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang
Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation. CoRR (2024)
Zhao Wang, Aoxue Li, Enze Xie, Lingting Zhu, Yong Guo, Qi Dou, Zhenguo Li
CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects. CoRR (2024)
Haiming Wang, Huajian Xin, Zhengying Liu, Wenda Li, Yinya Huang, Jianqiao Lu, Zhicheng Yang, Jing Tang, Jian Yin, Zhenguo Li, Xiaodan Liang
Proving Theorems Recursively. CoRR (2024)
Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. ICLR (2024)
Haiming Wang, Huajian Xin, Chuanyang Zheng, Zhengying Liu, Qingxing Cao, Yinya Huang, Jing Xiong, Han Shi, Enze Xie, Jian Yin, Zhenguo Li, Xiaodan Liang
LEGO-Prover: Neural Theorem Proving with Growing Libraries. ICLR (2024)
Shentong Mo, Enze Xie, Yue Wu, Junsong Chen, Matthias Nießner, Zhenguo Li
Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation. CoRR (2023)
Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung
Mixed Autoencoder for Self-Supervised Visual Representation Learning. CVPR (2023)
Weijian Luo, Hao Jiang, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Zhihua Zhang
Training Energy-Based Models with Diffusion Contrastive Divergences. CoRR (2023)
Yikai Wang, Jianan Wang, Guansong Lu, Hang Xu, Zhenguo Li, Wei Zhang, Yanwei Fu
Entity-Level Text-Guided Image Manipulation. CoRR (2023)
Haonan Wang, Minbin Huang, Runhui Huang, Lanqing Hong, Hang Xu, Tianyang Hu, Xiaodan Liang, Zhenguo Li
Boosting Visual-Language Models by Exploiting Hard Samples. CoRR (2023)
Chenxu Zhu, Bo Chen, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu
AIM: Automatic Interaction Machine for Click-Through Rate Prediction. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li
Complexity Matters: Rethinking the Latent Space for Generative Modeling. NeurIPS (2023)
Yutao Hu, Qixiong Wang, Wenqi Shao, Enze Xie, Zhenguo Li, Jungong Han, Ping Luo
Beyond One-to-One: Rethinking the Referring Image Segmentation. ICCV (2023)
Weibo Hu, Xiang Yan, Haitao Cui, Jingbin Feng, Yi Hu, Jiali Hou, Zhenguo Li, Chao Lu, Zhiming Xiao, Wei Ma
-R amplifier. Microelectron. J. 137 (2023)
Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Weizhong Zhang, Xiaodan Liang, Zhenguo Li, Lingpeng Kong
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning. ICLR (2023)
Tianqi Wang, Sukmin Kim, Wenxuan Ji, Enze Xie, Chongjian Ge, Junsong Chen, Zhenguo Li, Ping Luo
DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving. CoRR (2023)
Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok
Geom-Erasing: Geometry-Driven Removal of Implicit Concept in Diffusion Models. CoRR (2023)
Chongjian Ge, Junsong Chen, Enze Xie, Zhongdao Wang, Lanqing Hong, Huchuan Lu, Zhenguo Li, Ping Luo
MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation. ICCV (2023)
Shentong Mo, Enze Xie, Ruihang Chu, Lewei Yao, Lanqing Hong, Matthias Nießner, Zhenguo Li
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation. CoRR (2023)
Ruihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Nießner, Chi-Wing Fu, Jiaya Jia
DiffComplete: Diffusion-based Generative 3D Shape Completion. NeurIPS (2023)
Haiming Wang, Ye Yuan, Zhengying Liu, Jianhao Shen, Yichun Yin, Jing Xiong, Enze Xie, Han Shi, Yujun Li, Lin Li, Jian Yin, Zhenguo Li, Xiaodan Liang
DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value Function. ACL (1) (2023)
Junsong Chen, Jincheng Yu, Chongjian Ge, Lewei Yao, Enze Xie, Yue Wu, Zhongdao Wang, James T. Kwok, Ping Luo, Huchuan Lu, Zhenguo Li
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis. CoRR (2023)
Cheng Wang, Jiacheng Sun, Zhenhua Dong, Jieming Zhu, Zhenguo Li, Ruixuan Li, Rui Zhang
Data-free Knowledge Distillation for Reusing Recommendation Models. RecSys (2023)
Kaiyi Huang, Kaiyue Sun, Enze Xie, Zhenguo Li, Xihui Liu
T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation. CoRR (2023)
Yuanfeng Ji, Zhe Chen, Enze Xie, Lanqing Hong, Xihui Liu, Zhaoqiang Liu, Tong Lu, Zhenguo Li, Ping Luo
DDP: Diffusion Model for Dense Visual Prediction. ICCV (2023)
Kai Chen, Enze Xie, Zhe Chen, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung
Integrating Geometric Control into Text-to-Image Diffusion Models for High-Quality Detection Data Generation via Text Prompt. CoRR (2023)
Enze Xie, Lewei Yao, Han Shi, Zhili Liu, Daquan Zhou, Zhaoqiang Liu, Jiawei Li, Zhenguo Li
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning. ICCV (2023)
Qishi Dong, Fengwei Zhou, Ning Kang, Chuanlong Xie, Shifeng Zhang, Jiawei Li, Heng Peng, Zhenguo Li
DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization. AAAI (2023)
Chuanyang Zheng, Zhengying Liu, Enze Xie, Zhenguo Li, Yu Li
Progressive-Hint Prompting Improves Reasoning in Large Language Models. CoRR (2023)
Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models. NeurIPS (2023)
Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhi-Ming Ma
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization. ICML (2023)
Weijian Luo, Tianyang Hu, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhihua Zhang
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models. NeurIPS (2023)
Zhili Liu, Kai Chen, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, James T. Kwok
Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts. ICLR (2023)
Haiming Wang, Huajian Xin, Chuanyang Zheng, Lin Li, Zhengying Liu, Qingxing Cao, Yinya Huang, Jing Xiong, Han Shi, Enze Xie, Jian Yin, Zhenguo Li, Heng Liao, Xiaodan Liang
LEGO-Prover: Neural Theorem Proving with Growing Libraries. CoRR (2023)
Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhiming Ma
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization. CoRR (2023)
Kaican Li, Yifan Zhang, Lanqing Hong, Zhenguo Li, Nevin L. Zhang
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts. CoRR (2023)
Kai Chen, Chunwei Wang, Kuo Yang, Jianhua Han, Lanqing Hong, Fei Mi, Hang Xu, Zhengying Liu, Wenyong Huang, Zhenguo Li, Dit-Yan Yeung, Lifeng Shang, Xin Jiang, Qun Liu
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis. CoRR (2023)
Shentong Mo, Enze Xie, Ruihang Chu, Lanqing Hong, Matthias Nießner, Zhenguo Li
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation. NeurIPS (2023)
Zhenhua Xu, Yujia Zhang, Enze Xie, Zhen Zhao, Yong Guo, Kwan-Yee. K. Wong, Zhenguo Li, Hengshuang Zhao
DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model. CoRR (2023)
Lewei Yao, Jianhua Han, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Hang Xu
DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment. CVPR (2023)
Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models. CoRR (2023)
Kaiyi Huang, Kaiyue Sun, Enze Xie, Zhenguo Li, Xihui Liu
T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation. NeurIPS (2023)
Hao Yang, Lanqing Hong, Aoxue Li, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Liwei Wang
ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning. CoRR (2023)
Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang, Zhenguo Li, James T. Kwok
Forward-Backward Reasoning in Large Language Models for Verification. CoRR (2023)
Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung
Mixed Autoencoder for Self-supervised Visual Representation Learning. CoRR (2023)
Runjian Chen, Yao Mu, Runsen Xu, Wenqi Shao, Chenhan Jiang, Hang Xu, Yu Qiao, Zhenguo Li, Ping Luo
CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving. ICLR (2023)
Weisen Jiang, Baijiong Lin, Han Shi, Yu Zhang, Zhenguo Li, James T. Kwok
Effective and Parameter-Efficient Reusing Fine-Tuned Models. CoRR (2023)
Hao Yang, Lanqing Hong, Aoxue Li, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Liwei Wang
ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning. CVPR (2023)
Shoukang Hu, Kaichen Zhou, Kaiyu Li, Longhui Yu, Lanqing Hong, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Ziwei Liu
ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis. CoRR (2023)
Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li
Fair-CDA: Continuous and Directional Augmentation for Group Fairness. AAAI (2023)
Weijian Luo, Tianyang Hu, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhihua Zhang
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models. CoRR (2023)
Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. CoRR (2023)
Zhao Wang, Aoxue Li, Fengwei Zhou, Zhenguo Li, Qi Dou
Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization. BMVC (2023)
Yujun Li, Xing Tang, Bo Chen, Yimin Huang, Ruiming Tang, Zhenguo Li
AutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction. RecSys (2023)
Mingyang Yi, Jiacheng Sun, Zhenguo Li
On the Generalization of Diffusion Model. CoRR (2023)
Jingwei Zhang, Han Shi, Jincheng Yu, Enze Xie, Zhenguo Li
DiffFlow: A Unified SDE Framework for Score-Based Diffusion Models and Generative Adversarial Networks. CoRR (2023)
Enze Xie, Lewei Yao, Han Shi, Zhili Liu, Daquan Zhou, Zhaoqiang Liu, Jiawei Li, Zhenguo Li
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning. CoRR (2023)

Zhenguo Li.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Zhenguo Li