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2020 – today
- 2025
[j24]Baoquan Zhang, Bingqi Shan, Aoxue Li, Chuyao Luo, Yunming Ye, Zhenguo Li:
ZooKT: Task-adaptive knowledge transfer of Model Zoo for few-shot learning. Pattern Recognit. 158: 110960 (2025)- 2024
- [j23]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): 117-133 (2024) - [j22]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): 1348-1361 (2024) - [j21]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) - [c141]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: 5599-5606 - [c140]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: 6647-6661 - [c139]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 - [c138]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 - [c137]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 - [c136]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 - [c135]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 - [c134]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 - [c133]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 - [c132]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 - [c131]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. ICML 2024 - [c130]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: 1-5 - [c129]Xiaohan Lin, Qingxing Cao, Yinya Huang, Zhicheng Yang, Zhengying Liu, Zhenguo Li, Xiaodan Liang:
ATG: Benchmarking Automated Theorem Generation for Generative Language Models. NAACL-HLT (Findings) 2024: 4465-4480 - [c128]Zhao Wang, Aoxue Li, Zhenguo Li, Qi Dou:
Efficient Transferability Assessment for Selection of Pre-trained Detectors. WACV 2024: 1668-1678 - [i170]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 abs/2401.05252 (2024) - [i169]Zhao Wang, Aoxue Li, Enze Xie, Lingting Zhu, Yong Guo, Qi Dou, Zhenguo Li:
CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects. CoRR abs/2401.09962 (2024) - [i168]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 abs/2401.15688 (2024) - [i167]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 abs/2402.05382 (2024) - [i166]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 abs/2402.07754 (2024) - [i165]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 abs/2402.08957 (2024) - [i164]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 abs/2402.13572 (2024) - [i163]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 abs/2402.15170 (2024) - [i162]Shuchen Xue, Zhaoqiang Liu, Fei Chen, Shifeng Zhang, Tianyang Hu, Enze Xie, Zhenguo Li:
Accelerating Diffusion Sampling with Optimized Time Steps. CoRR abs/2402.17376 (2024) - [i161]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 abs/2403.04692 (2024) - [i160]Zhao Wang, Aoxue Li, Zhenguo Li, Qi Dou:
Efficient Transferability Assessment for Selection of Pre-trained Detectors. CoRR abs/2403.09432 (2024) - [i159]Zhao Wang, Aoxue Li, Fengwei Zhou, Zhenguo Li, Qi Dou:
Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization. CoRR abs/2403.09433 (2024) - [i158]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 abs/2403.09572 (2024) - [i157]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 abs/2403.13304 (2024) - [i156]Tianwei Xiong, Yue Wu, Enze Xie, Yue Wu, Zhenguo Li, Xihui Liu:
Editing Massive Concepts in Text-to-Image Diffusion Models. CoRR abs/2403.13807 (2024) - [i155]Yingji Zhong, Lanqing Hong, Zhenguo Li, Dan Xu:
CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs. CoRR abs/2403.16885 (2024) - [i154]Tianqi Wang, Enze Xie, Ruihang Chu, Zhenguo Li, Ping Luo:
DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Driving. CoRR abs/2403.16996 (2024) - [i153]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 abs/2404.09216 (2024) - [i152]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 abs/2404.10595 (2024) - [i151]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 abs/2405.00557 (2024) - [i150]Xiaohan Lin, Qingxing Cao, Yinya Huang, Zhicheng Yang, Zhengying Liu, Zhenguo Li, Xiaodan Liang:
ATG: Benchmarking Automated Theorem Generation for Generative Language Models. CoRR abs/2405.06677 (2024) - [i149]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 abs/2405.14224 (2024) - [i148]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 abs/2405.14414 (2024) - [i147]Ruiyuan Gao, Kai Chen, Zhihao Li, Lanqing Hong, Zhenguo Li, Qiang Xu:
MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes. CoRR abs/2405.14475 (2024) - [i146]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 abs/2405.14722 (2024) - [i145]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 abs/2405.15302 (2024) - [i144]Aoxue Li, Mingyang Yi, Zhenguo Li:
Enhancing Text-to-Image Editing via Hybrid Mask-Informed Fusion. CoRR abs/2405.15313 (2024) - [i143]Mingyang Yi, Aoxue Li, Yi Xin, Zhenguo Li:
Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model. CoRR abs/2405.15330 (2024) - [i142]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 abs/2406.03736 (2024) - [i141]Jingyao Li, Han Shi, Xin Jiang, Zhenguo Li, Hong Xu, Jiaya Jia:
QuickLLaMA: Query-aware Inference Acceleration for Large Language Models. CoRR abs/2406.07528 (2024) - [i140]Zhihui Xie, Jiahui Gao, Lei Li, Zhenguo Li, Qi Liu, Lingpeng Kong:
Jailbreaking as a Reward Misspecification Problem. CoRR abs/2406.14393 (2024) - [i139]Zhenyu Wang, Aoxue Li, Zhenguo Li, Xihui Liu:
GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing. CoRR abs/2407.05600 (2024) - [i138]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 abs/2407.14505 (2024) - 2023
- [j20]Weibo Hu, Xiang Yan, Haitao Cui, Jingbin Feng, Yi Hu, Jiali Hou, Zhenguo Li, Chao Lu, Zhiming Xiao, Wei Ma:
A non-pipelined ADC with a GM-R amplifier. Microelectron. J. 137: 105807 (2023) - [j19]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): 3389-3403 (2023) - [c127]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: 4250-4258 - [c126]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: 9918-9926 - [c125]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: 12632-12646 - [c124]Zhao Wang, Aoxue Li, Fengwei Zhou, Zhenguo Li, Qi Dou:
Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization. BMVC 2023: 93 - [c123]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: 16508-16517 - [c122]Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung:
Mixed Autoencoder for Self-Supervised Visual Representation Learning. CVPR 2023: 22742-22751 - [c121]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: 23497-23506 - [c120]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: 4044-4054 - [c119]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: 4207-4216 - [c118]Haiyang Wang, Hao Tang, Shaoshuai Shi, Aoxue Li, Zhenguo Li, Bernt Schiele, Liwei Wang:
UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation. ICCV 2023: 6769-6779 - [c117]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: 8687-8697 - [c116]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: 21684-21695 - [c115]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 - [c114]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 - [c113]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 - [c112]Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma:
Breaking Correlation Shift via Conditional Invariant Regularizer. ICLR 2023 - [c111]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: 4623-4640 - [c110]Ruihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Nießner, Chi-Wing Fu, Jiaya Jia:
DiffComplete: Diffusion-based Generative 3D Shape Completion. NeurIPS 2023 - [c109]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 - [c108]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 - [c107]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 - [c106]Shentong Mo, Enze Xie, Ruihang Chu, Lanqing Hong, Matthias Nießner, Zhenguo Li:
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation. NeurIPS 2023 - [c105]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 - [c104]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: 183-194 - [c103]Cheng Wang, Jiacheng Sun, Zhenhua Dong, Jieming Zhu, Zhenguo Li, Ruixuan Li, Rui Zhang:
Data-free Knowledge Distillation for Reusing Recommendation Models. RecSys 2023: 386-395 - [i137]Yikai Wang, Jianan Wang, Guansong Lu, Hang Xu, Zhenguo Li, Wei Zhang, Yanwei Fu:
Entity-Level Text-Guided Image Manipulation. CoRR abs/2302.11383 (2023) - [i136]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 abs/2303.11052 (2023) - [i135]Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung:
Mixed Autoencoder for Self-supervised Visual Representation Learning. CoRR abs/2303.17152 (2023) - [i134]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. CoRR abs/2303.17559 (2023) - [i133]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. CoRR abs/2304.00295 (2023) - [i132]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 abs/2304.01168 (2023) - [i131]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. CoRR abs/2304.04514 (2023) - [i130]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 abs/2304.06648 (2023) - [i129]Chuanyang Zheng, Zhengying Liu, Enze Xie, Zhenguo Li, Yu Li:
Progressive-Hint Prompting Improves Reasoning in Large Language Models. CoRR abs/2304.09797 (2023) - [i128]Chongjian Ge, Junsong Chen, Enze Xie, Zhongdao Wang, Lanqing Hong, Huchuan Lu, Zhenguo Li, Ping Luo:
MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation. CoRR abs/2304.09801 (2023) - [i127]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 abs/2305.05208 (2023) - [i126]Yuyang Zhao, Enze Xie, Lanqing Hong, Zhenguo Li, Gim Hee Lee:
Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts. CoRR abs/2305.08850 (2023) - [i125]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 abs/2305.11031 (2023) - [i124]Mingyang Yi, Jiacheng Sun, Zhenguo Li:
On the Generalization of Diffusion Model. CoRR abs/2305.14712 (2023) - [i123]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 abs/2305.18455 (2023) - [i122]Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhiming Ma:
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization. CoRR abs/2306.02595 (2023) - [i121]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 abs/2306.04607 (2023) - [i120]Ruihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Nießner, Chi-Wing Fu, Jiaya Jia:
DiffComplete: Diffusion-based Generative 3D Shape Completion. CoRR abs/2306.16329 (2023) - [i119]Weijian Luo, Hao Jiang, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Zhihua Zhang:
Training Energy-Based Models with Diffusion Contrastive Divergences. CoRR abs/2307.01668 (2023) - [i118]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 abs/2307.01831 (2023) - [i117]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 abs/2307.02159 (2023) - [i116]Kaiyi Huang, Kaiyue Sun, Enze Xie, Zhenguo Li, Xihui Liu:
T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation. CoRR abs/2307.06350 (2023) - [i115]Nevin L. Zhang, Kaican Li, Han Gao, Weiyan Xie, Zhi Lin, Zhenguo Li, Luning Wang, Yongxiang Huang:
A Causal Framework to Unify Common Domain Generalization Approaches. CoRR abs/2307.06825 (2023) - [i114]Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li:
Complexity Matters: Rethinking the Latent Space for Generative Modeling. CoRR abs/2307.08283 (2023) - [i113]Haiyang Wang, Hao Tang, Shaoshuai Shi, Aoxue Li, Zhenguo Li, Bernt Schiele, Liwei Wang:
UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation. CoRR abs/2308.07732 (2023) - [i112]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 abs/2308.07758 (2023) - [i111]Yutao Hu, Qixiong Wang, Wenqi Shao, Enze Xie, Zhenguo Li, Jungong Han, Ping Luo:
Beyond One-to-One: Rethinking the Referring Image Segmentation. CoRR abs/2308.13853 (2023) - [i110]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 abs/2309.05019 (2023) - [i109]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 abs/2309.12284 (2023) - [i108]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. CoRR abs/2309.15806 (2023) - [i107]