I am an Assitant Professor at the Department of Computer Science and Technology, Tsinghua University, China, working together with Prof. Wenwu Zhu. I was a postdoc Scholar at CS Department of Tsinghua University, advised by Prof. Peng Cui and Prof. Wenwu Zhu. I obtained my Ph.D. degree from CS Department of Tsinghua University, supervised by Prof. Dan Pei in 2016. My research interests lie in Multimedia Edge Intelligence, especially in model compression, model quantization, and lightweight model generalization with causal methods.

📝 Publications

• Test-time Sparsity for Extreme Fast Action Diffusion

  Kangye Ji, Yuan Meng, Jianbo Zhou, Ye Li, Chen Tang, Zhi Wang

  IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2026

• Block-wise adaptive caching for accelerating diffusion policy

  Kangye Ji, Yuan Meng, Hanyun Cui, Ye Li, Shengjia Hua, Lei Chen, Zhi Wang

  International Conference on Learning Representations (ICLR) 2026

• Sp-vla: A joint model scheduling and token pruning approach for vla model acceleration

  Ye Li, Yuan Meng, Zewen Sun, Kangye Ji, Chen Tang, Jiajun Fan, Xinzhu Ma, Shutao Xia, Zhi Wang, Wenwu Zhu

  International Conference on Learning Representations (ICLR) 2026

• Adaptive Mixture of Disentangled Experts for Dynamic Graph Out-of-Distribution Generalization

  Haibo Chen, Xin Wang, Guanheng Chen, Yuan Meng, Haoyang Li, Yang Yao, Zeyang Zhang, Zhiqiang Zhang, Jun Zhou, Ling Feng, Wenwu Zhu

  International Conference on Learning Representations (ICLR) 2026

• Disentangled Graph LLM for Molecule Graph Editing under Distribution Shifts

  Yang Yao, Xin Wang, Yuan Meng, Zeyang Zhang, Hong Mei, Wenwu Zhu

  The Web Conference (WWW) 2026

• PRANCE: Joint Token-Optimization and Structural Channel-Pruning for Adaptive ViT Inference

  Ye Li, Chen Tang, Yuan Meng, Jiajun Fan, Zenghao Chai, Xinzhu Ma, Zhi Wang, Wenwu Zhu

  Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) 2025

• CPRet: A Dataset, Benchmark, and Model for Retrieval in Competitive Programmin

  Han Deng, Yuan Meng, Shixiang Tang, Wanli Ouyang, Xinzhu Ma

  The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS) 2025

• Q-dit: Accurate post-training quantization for diffusion transformers

  Lei Chen, Yuan Meng, Chen Tang, Xinzhu Ma, Jingyan Jiang, Xin Wang, Zhi Wang, Wenwu Zhu

  IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2025

• CATP-LLM: Empowering Large Language Models for Cost-Aware Tool Planning

  Duo Wu, Jinghe Wang, Yuan Meng, Yanning Zhang, Le Sun, Zhi Wang

  International Conference on Computer Vision (ICCV) 2025

• JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration

  Mingzi Wang, Yuan Meng, Chen Tang, Weixiang Zhang, Yijian Qin, Yang Yao, Yingxin Li, Tongtong Feng, Xin Wang, Xun Guan, Zhi Wang, Wenwu Zhu

  The 39th Annual AAAI Conference on Artificial Intelligence (AAAI) 2025

• Quantization Meets OOD: Generalizable Quantization-aware Training from a Flatness Perspective

  Jiacheng Jiang, Yuan Meng, Chen Tang, Han Yu, Qun Li, Zhi Wang, Wenwu Zhu

  ACM Multimedia (MM) 2025.

• One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments

  Ke Yi, Yuhui Xu, Heng Chang, Yuan Meng, Tong Zhang, Jia Li

  The 63rd Annual Meeting of the Association for Computational Linguistics (ACL) 2025

• 3DAxisPrompt: Promoting the 3D Grounding and Reasoning in GPT-4o

  Dingning Liu, Cheng Wang, Peng Gao, Renrui Zhang, Xinzhu Ma, Yuan Meng, Zhihui Wang

  Neurocomputing 2025

• Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification

  Beini Xie, Heng Chang, Ziwei Zhang, Zeyang Zhang, Simin Wu, Xin Wang, Yuan Meng, Wenwu Zhu

  Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024

• Retraining-free Model Quantization via One-Shot Weight-Coupling Learning

  Chen Tang, Yuan Meng, Jiacheng Jiang, Shuzhao Xie, Rongwei Lu, Xinzhu Ma, Zhi Wang, Wenwu Zhu

  IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024

• Investigating the Impact of Quantization on Adversarial Robustness

  Qun Li, Yuan Meng, Chen Tang, Jiacheng Jiang, Zhi Wang

  Workshop on Practical Machine Learning for Developing Countries (PML4DC), (ICLR) 2024

• RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model

  Peiwen Li, Xin Wang, Zeyang Zhang, Yuan Meng, Fang Shen, Yue Li, Jialong Wang, Yang Li, Wenwu Zhu

  Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM) 2024

• PDEC: A Framework for Improving Knowledge Graph Reasoning Performance through Predicate Decomposition

  Xin Tian, Yuan Meng

  Algorithms 2024

• SEAM: Searching Transferable Mixed-Precision Quantization Policy through Large Margin Regularization

  Chen Tang, Kai Ouyang, Zenghao Chai, Yunpeng Bai, Yuan Meng, Zhi Wang, Wenwu Zhu

  Proceedings of the 31st ACM International Conference on Multimedia (ACM MM) 2023

• Towards Fair and Comprehensive Comparisons for Image-Based 3D Object Detection

  Xinzhu Ma, Yongtao Wang, Yinmin Zhang, Zhiyi Xia, Yuan Meng, Zhihui Wang, Haojie Li, Wanli Ouyang

  Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) 2023

• TIVA-KG: A multimodal knowledge graph with text, image, video and audio

  Xin Wang, Benyuan Meng, Hong Chen, Yuan Meng, Ke Lv, Wenwu Zhu

  Proceedings of the 31st ACM International Conference on Multimedia (ACM MM) 2023

• Causal Discovery in Temporal Domain from Interventional Data

  Peiwen Li, Yuan Meng, Xin Wang, Fang Shen, Yue Li, Jialong Wang, Wenwu Zhu

  Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM) 2023

• Distilling Causal Metaknowledge from Knowledge Graphs

  Yuan Meng, Yancheng Dong, Shixuan Liu, Chaohao Yuan, Yue He, Jian Pei, Peng Cui

  IEEE Data Eng. Bull. 2022

• Localizing failure root causes in a microservice through causality inference

  Yuan Meng, Shenglin Zhang, Yongqian Sun, Ruru Zhang, Zhilong Hu, Yiyin Zhang, Chenyang Jia, Zhaogang Wang, Dan Pei

  IEEE/ACM International Symposium on Quality of Service (IWQoS) 2020

• Fluxinfer: Automatic diagnosis of performance anomaly for online database system

  Ping Liu, Shenglin Zhang, Yongqian Sun, Yuan Meng, Jiahai Yang, Dan Pei

  IEEE International Performance Computing and Communications Conference (IPCCC) 2020

• Causal analysis of the unsatisfying experience in realtime mobile multiplayer games in the wild

  Yuan Meng, Shenglin Zhang, Zijie Ye, Benliang Wang, Zhi Wang, Yongqian Sun, Qitong Liu, Shuai Yang, Dan Pei

  IEEE International Conference on Multimedia and Expo (ICME) 2019

• FUSO: Fast Multi-Path Loss Recovery for Data Center Networks

  Guo Chen, Yuanwei Lu, Yuan Meng, Bojie Li, Kun Tan, Dan Pei, Peng Cheng, Layong Luo, Yongqiang Xiong, Xiaoliang Wang, Youjian Zhao

  IEEE/ACM Transactions on Networking (ToN) 2018

• Hotspot: Anomaly localization for additive kpis with multi-dimensional attributes

  Yongqian Sun, Youjian Zhao, Ya Su, Dapeng Liu, Xiaohui Nie, Yuan Meng, Shiwen Cheng, Dan Pei, Shenglin Zhang, Xianping Qu, Xuanyou Guo

  IEEE Access 2018

• Latency-based WiFi congestion control in the air for dense WiFi networks

  Changhua Pei, Youjian Zhao, Yunxin Liu, Kun Tan, Jiansong Zhang, Yuan Meng, Dan Pei

  IEEE/ACM 25th International Symposium on Quality of Service (IWQoS) 2017

• Why it takes so long to connect to a WiFi access point

  Changhua Pei, Zhi Wang, Youjian Zhao, Zihan Wang, Yuan Meng, Dan Pei, Yuanquan Peng, Wenliang Tang, Xiaodong Qu

  IEEE International Conference on Computer Communications (INFOCOM) 2017

• How much are your neighbors interfering with your wifi delay?

  Changhua Pei, Youjian Zhao, Guo Chen, Yuan Meng, Yang Liu, Ya Su, Yaodong Zhang, Ruming Tang, Dan Pei

  International Conference on Computer Communication and Networks (ICCCN) 2017

• WiFi can be the weakest link of round trip network latency in the wild

  Changhua Pei, Youjian Zhao, Guo Chen, Ruming Tang, Yuan Meng, Minghua Ma, Ken Ling, Dan Pei

  IEEE International Conference on Computer Communications (INFOCOM) 2016

• Fast and cautious: Leveraging multi-path diversity for transport loss recovery in data centers

  Guo Chen, Yuanwei Lu, Yuan Meng, Bojie Li, Kun Tan, Dan Pei, Peng Cheng, Layong Larry Luo, Yongqiang Xiong, Xiaoliang Wang, Youjian Zhao

  USENIX Annual Technical Conference (USENIX ATC) 2016