Qi Meng
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
11
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe Graphing. | Yang Liu, Jinxuan Cai, Yishen Li, Qi Meng, Zedi Liu, Xin Li, Chen Qian, Chuan Shi, Cheng Yang |
| 2025 | ACL | TEACH: A Contrastive Knowledge Adaptive Distillation Framework for Classical Chinese Understanding. | Yuting Wei, Qi Meng, Yuanxing Xu, Bin Wu |
| 2025 | ICLR | HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting. | Nian Ran, Peng Xiao, Yue Wang, Wesley Shi, Jianxin Lin, Qi Meng, Richard Allmendinger |
| 2025 | IJCAI | Generate or Re-Weight? A Mutual-Guidance Method for Class-Imbalanced Graphs. | Zhongying Zhao, Gen Liu, Qi Meng, Chao Li, Qingtian Zeng |
| 2024 | ACL | MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter. | Jitai Hao, Weiwei Sun, Xin Xin, Qi Meng, Zhumin Chen, Pengjie Ren, Zhaochun Ren |
| 2024 | KDD | Provable Adaptivity of Adam under Non-uniform Smoothness. | Bohan Wang, Yushun Zhang, Huishuai Zhang, Qi Meng, Ruoyu Sun, Zhi-Ming Ma, Tie-Yan Liu, Zhi-Quan Luo, Wei Chen |
| 2024 | SMC | Disease Detection Module for SBCE Images Using Modified YOLOv8. | Shiren Ye, Shuo Zhang, Qi Meng, Hui Wang, Jiaqun Zhu |
| 2023 | AAAI | Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations. | Shiqi Gong, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhiming Ma, Hao Ni, Tie-Yan Liu |
| 2023 | ICLR | 𝒪-GNN: incorporating ring priors into molecular modeling. | Jinhua Zhu, Kehan Wu, Bohan Wang, Yingce Xia, Shufang Xie, Qi Meng, Lijun Wu, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu |
| 2023 | ICML | NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition. | Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu |
| 2022 | ICLR | PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior. | Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu |
| 2022 | ICML | SE(3) Equivariant Graph Neural Networks with Complete Local Frames. | Weitao Du, He Zhang, Yuanqi Du, Qi Meng, Wei Chen, Nanning Zheng, Bin Shao, Tie-Yan Liu |
| 2021 | ICML | The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks. | Bohan Wang, Qi Meng, Wei Chen, Tie-Yan Liu |
| 2021 | NAACL | UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost. | Zhen Wu, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie, Tao Qin, Xinyu Dai, Tie-Yan Liu |
| 2021 | SIGIR | Conversations Powered by Cross-Lingual Knowledge. | Weiwei Sun, Chuan Meng, Qi Meng, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke |
| 2021 | UAI | Path-BN: Towards effective batch normalization in the Path Space for ReLU networks. | Xufang Luo, Qi Meng, Wei Chen, Yunhong Wang, Tie-Yan Liu |
| 2020 | IJCAI | I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations. | Xufang Luo, Qi Meng, Di He, Wei Chen, Yunhong Wang |
| 2020 | IJCAI | Reinforcement Learning with Dynamic Boltzmann Softmax Updates. | Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang |
| 2019 | AAAI | Capacity Control of ReLU Neural Networks by Basis-Path Norm. | Shuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu, Tie-Yan Liu |
| 2019 | ICLR | G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space. | Qi Meng, Shuxin Zheng, Huishuai Zhang, Wei Chen, Qiwei Ye, Zhi-Ming Ma, Nenghai Yu, Tie-Yan Liu |
| 2018 | IJCAI | Differential Equations for Modeling Asynchronous Algorithms. | Li He, Qi Meng, Wei Chen, Zhiming Ma, Tie-Yan Liu |
| 2017 | AAAI | Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction. | Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu |
| 2017 | AAAI | Generalization Error Bounds for Optimization Algorithms via Stability. | Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu |
| 2017 | DeSE | Privacy Preservation for eSports: A Case Study Towards Augmented Video Golf Coaching System. | Boris Bacic, Qi Meng, Kam Yuk Chan |
| 2017 | ICML | Asynchronous Stochastic Gradient Descent with Delay Compensation. | Shuxin Zheng, Qi Meng, Taifeng Wang, Wei Chen, Nenghai Yu, Zhiming Ma, Tie-Yan Liu |
| 2016 | IJCAI | Asynchronous Accelerated Stochastic Gradient Descent. | Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu |