Lijiang Li

According to our database, Lijiang Li authored at least 21 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

VITA-QinYu: Expressive Spoken Language Model for Role-Playing and Singing.

Jiacheng Xu, Heting Gao, Liufei Xie, Zhenchuan Yang, Lijiang Li, Yiting Chen, Bin Zhang, Meng Chen, Chaoyu Fu, Weifeng Zhao, Wenjiang Zhou

CoRR, May, 2026

Omni-Diffusion: Unified Multimodal Understanding and Generation with Masked Discrete Diffusion.

Lijiang Li, Zuwei Long, Yunhang Shen, Heting Gao, Haoyu Cao, Xing Sun, Caifeng Shan, Ran He, Chaoyou Fu

CoRR, March, 2026

2025

NADM: Noise-Aware Diffusion Model for Landscape Painting Video Generation.

Ding-Ming Liu, Shao-Wei Li, Ruo-Yan Zhou, Lili Liang, Yongguan Hong, Yuan-Ze Zeng, Xiang Chang, Lijiang Li, Tianshuo Xu, Fei Chao, Changjing Shang, Qiang Shen

IEEE Trans. Cybern., August, 2025

DeepTalk: Towards Seamless and Smart Speech Interaction with Adaptive Modality-Specific MoE.

Hang Shao, Heting Gao, Yunhang Shen, Jiawei Chen, Lijiang Li, Zuwei Long, Bo Tong, Ke Li, Xing Sun

CoRR, June, 2025

VITA-Audio: Fast Interleaved Cross-Modal Token Generation for Efficient Large Speech-Language Model.

Zuwei Long, Yunhang Shen, Chaoyou Fu, Heting Gao, Lijiang Li, Peixian Chen, Mengdan Zhang, Hang Shao, Jian Li, Jinlong Peng, Haoyu Cao, Ke Li, Rongrong Ji, Xing Sun

CoRR, May, 2025

Self-Organizing Type-2 Fuzzy Double Loop Recurrent Neural Network for Uncertain Nonlinear System Control.

Lijiang Li, Xiang Chang, Fei Chao, Chih-Min Lin, Tuan-Tu Huynh, Longzhi Yang, Changjing Shang, Qiang Shen

IEEE Trans. Neural Networks Learn. Syst., April, 2025

GS-Marker: Generalizable and Robust Watermarking for 3D Gaussian Splatting.

Lijiang Li, Jinglu Wang, Xiang Ming, Yan Lu

CoRR, March, 2025

VITA-Audio: Fast Interleaved Audio-Text Token Generation for Efficient Large Speech-Language Model.

Zuwei Long, Yunhang Shen, Chaoyou Fu, Heting Gao, Lijiang Li, Peixian Chen, Mengdan Zhang, Hang Shao, Jian Li, Jinlong Peng, Haoyu Cao, Ke Li, Rongrong Ji, Xing Sun

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Breaking Static Barriers: Dynamic Post-Training Quantization for Diffusion Models.

Xiao Yang, Huixia Li, Lijiang Li, Xiawu Zheng, Yuexiao Ma, Feng Ling, Jie Wu, Xuefeng Xiao, Rui Wang, Min Zheng, Fei Chao

Proceedings of the International Joint Conference on Neural Networks, 2025

Diffusion Sampling Correction via Approximately 10 Parameters.

Guangyi Wang, Wei Peng, Lijiang Li, Wenyu Chen, Yuren Cai, Song-Zhi Su

Proceedings of the Forty-second International Conference on Machine Learning, 2025

PFDiff: Training-Free Acceleration of Diffusion Models Combining Past and Future Scores.

Guangyi Wang, Yuren Cai, Lijiang Li, Wei Peng, Song-Zhi Su

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Uncovering the Over-Smoothing Challenge in Image Super-Resolution: Entropy-Based Quantification and Contrastive Optimization.

Tianshuo Xu, Lijiang Li, Peng Mi, Xiawu Zheng, Fei Chao, Rongrong Ji, Yonghong Tian, Qiang Shen

IEEE Trans. Pattern Anal. Mach. Intell., September, 2024

PFDiff: Training-free Acceleration of Diffusion Models through the Gradient Guidance of Past and Future.

Guangyi Wang, Yuren Cai, Lijiang Li, Wei Peng, Songzhi Su

CoRR, 2024

2023

Model compression optimized neural network controller for nonlinear systems.

Lijiang Li, Sheng-Lin Zhou, Fei Chao, Xiang Chang, Longzhi Yang, Xiao Yu, Changjing Shang, Qiang Shen

Knowl. Based Syst., April, 2023

A Unified Framework for 3D Point Cloud Visual Grounding.

Haojia Lin, Yongdong Luo, Xiawu Zheng, Lijiang Li, Fei Chao, Taisong Jin, Donghao Luo, Chengjie Wang, Yan Wang, Liujuan Cao

CoRR, 2023

AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration.

Lijiang Li, Huixia Li, Xiawu Zheng, Jie Wu, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan, Fei Chao, Rongrong Ji

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Meta Architecture for Point Cloud Analysis.

Haojia Lin, Xiawu Zheng, Lijiang Li, Fei Chao, Shanshan Wang, Yan Wang, Yonghong Tian, Rongrong Ji

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Type 2 wavelet brain emotional learning network with double recurrent loops based controller for nonlinear systems.

Zi-Qi Wang, Lijiang Li, Fei Chao, Chih-Min Lin, Longzhi Yang, Changle Zhou, Xiang Chang, Changjing Shang, Qiang Shen

Knowl. Based Syst., 2022

Meta Architecure for Point Cloud Analysis.

Haojia Lin, Xiawu Zheng, Lijiang Li, Fei Chao, Shanshan Wang, Yan Wang, Yonghong Tian, Rongrong Ji

CoRR, 2022

What Hinders Perceptual Quality of PSNR-oriented Methods?

Tianshuo Xu, Peng Mi, Xiawu Zheng, Lijiang Li, Fei Chao, Guannan Jiang, Wei Zhang, Yiyi Zhou, Rongrong Ji

CoRR, 2022

Searching Lightweight Neural Network for Image Signal Processing.

Haojia Lin, Lijiang Li, Xiawu Zheng, Fei Chao, Rongrong Ji

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022