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ORCIDMuchen Li
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2020 – today
- 2026
[i16]Donghua Yu, Zhengyuan Lin, Chen Yang, Yiyang Zhang, Hanfu Chen, Jingqi Chen, Ke Chen, Liwei Fan, Yi Jiang, Jie Zhu, Muchen Li, Wenxuan Wang, Yang Wang, Zhe Xu, Yitian Gong, Yuqian Zhang, Wenbo Zhang, Songlin Wang, Zhiyu Wu, Zhaoye Fei, Qinyuan Cheng, Shimin Li, Xipeng Qiu:
MOSS Transcribe Diarize Technical Report. CoRR abs/2601.01554 (2026)- [i15]Muyuan Chen, Muchen Li, Renjie Liao:
Point transformer for protein structural heterogeneity analysis using CryoEM. CoRR abs/2601.18713 (2026) - [i14]Ailar Mahdizadeh, Puria Azadi Moghadam, Muchen Li, Xiangteng He, Leonid Sigal:
CoRDS: Coreset-based Representative and Diverse Selection for Streaming Video Understanding. CoRR abs/2605.14310 (2026) - 2025
- [c14]Muchen Li, Sammy Christen, Chengde Wan, Yujun Cai, Renjie Liao, Leonid Sigal, Shugao Ma:
LatentHOI: On the Generalizable Hand Object Motion Generation with Latent Hand Diffusion. CVPR 2025: 17416-17425 - [c13]Qihang Zhang, Muchen Li, Ziao Wang, Renjie Liao, Lele Wang:
Test-Time Steering for Lossless Text Compression via Weighted Product of Experts. EMNLP (Findings) 2025: 2076-2088 - [c12]Sadegh Mahdavi, Muchen Li, Kaiwen Liu, Christos Thrampoulidis, Leonid Sigal, Renjie Liao:
Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation. ICML 2025 - [c11]Wei Xiang, Muchen Li, Jie Yan, Manling Zheng, Hanfei Zhu, Mengyun Jiang, Lingyun Sun:
Driver Assistant: Persuading Drivers to Adjust Secondary Tasks Using Large Language Models. SMC 2025: 3554-3559 - [c10]Muchen Li, Wei Xiang, Yuyu He
, Mengyun Jiang, Xueting Wu:
CareEmo: Supporting Caregivers with Personalized Communication Approaches to Enhance Older Adults' Emotional Well-being. SMC 2025: 4499-4504 - [i13]Sadegh Mahdavi, Muchen Li, Kaiwen Liu, Christos Thrampoulidis, Leonid Sigal, Renjie Liao:
Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation. CoRR abs/2501.14275 (2025) - [i12]Wenlong Deng, Yi Ren, Muchen Li, Danica J. Sutherland, Xiaoxiao Li, Christos Thrampoulidis:
On the Effect of Negative Gradient in Group Relative Deep Reinforcement Optimization. CoRR abs/2505.18830 (2025) - [i11]Wei Xiang, Muchen Li, Jie Yan, Manling Zheng, Hanfei Zhu, Mengyun Jiang, Lingyun Sun:
Driver Assistant: Persuading Drivers to Adjust Secondary Tasks Using Large Language Models. CoRR abs/2508.05238 (2025) - [i10]Jia Jun Cheng Xian, Muchen Li, Haotian Yang, Xin Tao, Pengfei Wan, Leonid Sigal, Renjie Liao:
Free Lunch Alignment of Text-to-Image Diffusion Models without Preference Image Pairs. CoRR abs/2509.25771 (2025) - [i9]Qihang Zhang, Muchen Li, Ziao Wang, Renjie Liao, Lele Wang:
Test-Time Steering for Lossless Text Compression via Weighted Product of Experts. CoRR abs/2511.10660 (2025) - 2024
- [c9]Xue Yu, Muchen Li, Yan Leng, Renjie Liao:
Learning Latent Structures in Network Games via Data-Dependent Gated-Prior Graph Variational Autoencoders. ICML 2024: 57507-57526 - 2023
- [j3]Muchen Li, Jeffrey Yunfan Liu, Leonid Sigal, Renjie Liao:
GraphPNAS: Learning Probabilistic Graph Generators for Neural Architecture Search. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [i8]Muchen Li, Jeffrey Yunfan Liu, Leonid Sigal, Renjie Liao:
GraphPNAS: Learning Distribution of Good Neural Architectures via Deep Graph Generative Models. CoRR abs/2211.15155 (2022) - 2021
- [c8]Bo Pang, Yizhuo Li, Jiefeng Li, Muchen Li, Hanwen Cao, Cewu Lu:
TDAF: Top-Down Attention Framework for Vision Tasks. AAAI 2021: 2384-2392 - [c7]Muchen Li, Leonid Sigal:
Referring Transformer: A One-step Approach to Multi-task Visual Grounding. NeurIPS 2021: 19652-19664 - [i7]Xiangyu Xu, Muchen Li, Wenxiu Sun, Ming-Hsuan Yang:
Learning Spatial and Spatio-Temporal Pixel Aggregations for Image and Video Denoising. CoRR abs/2101.10760 (2021) - [i6]Muchen Li, Leonid Sigal:
Referring Transformer: A One-step Approach to Multi-task Visual Grounding. CoRR abs/2106.03089 (2021) - 2020
- [j2]Xiangyu Xu, Muchen Li, Wenxiu Sun, Ming-Hsuan Yang:
Learning Spatial and Spatio-Temporal Pixel Aggregations for Image and Video Denoising. IEEE Trans. Image Process. 29: 7153-7165 (2020) - [c6]Man M. Ho, Jinjia Zhou, Gang He, Muchen Li, Lei Li:
SR-CL-DMC: P-frame coding with Super-Resolution, Color Learning, and Deep Motion Compensation. CVPR Workshops 2020: 538-542 - [c5]Dario Fuoli, Zhiwu Huang, Martin Danelljan, Radu Timofte, Hua Wang, Longcun Jin, Dewei Su, Jing Liu, Jaehoon Lee, Michal Kudelski, Lukasz Bala, Dmitry Hrybov, Marcin Mozejko, Muchen Li, Siyao Li, Bo Pang, Cewu Lu, Chao Li, Dongliang He, Fu Li, Shilei Wen:
NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results. CVPR Workshops 2020: 1962-1974 - [c4]Bo Pang, Yizhuo Li, Yifan Zhang, Muchen Li, Cewu Lu:
TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model. CVPR 2020: 6307-6317 - [c3]Jiayao Xu, Jirayu Peetakul, Muchen Li, Jinjia Zhou:
High-speed Compressed Sensing Reconstruction using Zigzag Ordering based Parallel Processing. ICVIP 2020: 247-255 - [i5]Dario Fuoli, Zhiwu Huang, Martin Danelljan, Radu Timofte, Hua Wang, Longcun Jin, Dewei Su, Jing Liu, Jaehoon Lee, Michal Kudelski, Lukasz Bala, Dmitry Hrybov, Marcin Mozejko, Muchen Li, Siyao Li, Bo Pang, Cewu Lu, Chao Li, Dongliang He, Fu Li, Shilei Wen:
NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results. CoRR abs/2005.02291 (2020) - [i4]Bo Pang, Yizhuo Li, Yifan Zhang, Muchen Li, Cewu Lu:
TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model. CoRR abs/2006.05683 (2020) - [i3]Bo Pang, Yizhuo Li, Jiefeng Li, Muchen Li, Hanwen Cao, Cewu Lu:
TDAF: Top-Down Attention Framework for Vision Tasks. CoRR abs/2012.07248 (2020)
2010 – 2019
- 2019
- [i2]Xiangyu Xu, Muchen Li, Wenxiu Sun:
Learning Deformable Kernels for Image and Video Denoising. CoRR abs/1904.06903 (2019) - 2018
- [i1]Jiawei Li, Jingpeng Li, Ruibin Bai, Robert Duncan, Muchen Li, Graham Kendall:
Collective Strategies with a Master-slave Mechanism Dominate in Spatial Iterated Prisoner's Dilemma. CoRR abs/1810.03793 (2018) - 2013
- [j1]Muchen Li, Jinjia Zhou, Dajiang Zhou, Xiao Peng, Satoshi Goto:
A Dual-Mode Deblocking Filter Design for HEVC and H.264/AVC. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 96-A(6): 1366-1375 (2013) - [c2]Muchen Li, Keiichi Chono, Satoshi Goto:
Low-complexity merge candidate decision for fast HEVC encoding. ICME Workshops 2013: 1-6 - 2012
- [c1]Muchen Li, Jinjia Zhou, Dajiang Zhou, Xiao Peng, Satoshi Goto:
De-blocking Filter Design for HEVC and H.264/AVC. PCM 2012: 273-284
Coauthor Index
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last updated on 2026-06-12 21:29 CEST by the dblp team
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