Wenchao Meng

9 papers at tracked venues · 5 at CORE A* · active 2024–2026

DBLP profile ↗ORCID search ↗

Venues

ACL ×2 NeurIPS ×2 AAAI ×1 CIKM ×1 ECCV ×1 IJCAI ×1 IROS ×1

Frequent coauthors

Qihang Zhou

×6

Shibo He

×6

Jiming Chen

×2

Shizhong Li

×2

Keyu Chen

×1

Bin Qian

×1

Zhenyu Wen

×1

Guangyi Liu

×1

Pengxiang Zhao

×1

Liang Liu

×1

Zhiming Chen

×1

Yuxiang Chai

×1

Papers

FIRM-MoE: Fine-GrainedExpert Decomposition for Resource-Adaptive MoE Inference
AAAI 2026 ·
Keyu Chen
,
Qihang Zhou
,
Bin Qian
,
Zhenyu Wen
, Wenchao Meng,
Shibo He
LearnAct: Few-Shot Mobile GUI Agent with a Unified Demonstration Benchmark
ACL 2026 ·
Guangyi Liu
,
Pengxiang Zhao
,
Liang Liu
,
Zhiming Chen
,
Yuxiang Chai
,
Yaozhen Liang
,
WenHao Wang
,
Siheng Chen
,
Zhengxi Lu
,
Shuai Ren
,
Hao Wang
,
Shibo He
,
Yong Liu
, Wenchao Meng
Markovian Linguistic-Temporal Bridge: Unlocking the Potential of LLMs for Time Series Forecasting
ACL 2026 ·
Siming Sun
,
Kai Zhang
,
Xuejun Jiang
, Wenchao Meng,
Qinmin Yang
CoCoL: A Communication Efficient Decentralized Collaborative Learning Method for Multi-Robot Systems
IROS 2025 ·
Jiaxin Huang
,
Yan Huang
,
Yixian Zhao
, Wenchao Meng,
Jinming Xu
FairDD: Fair Dataset Distillation
NeurIPS 2025 ·
Qihang Zhou
,
Shenhao Fang
,
Shibo He
, Wenchao Meng,
Jiming Chen
Distributed Boosting: An Enhancing Method on Dataset Distillation
CIKM 2024 ·
Xuechao Chen
, Wenchao Meng,
Peiran Wang
,
Qihang Zhou
Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection
IJCAI 2024 ·
Chen Liu
,
Shibo He
,
Qihang Zhou
,
Shizhong Li
, Wenchao Meng
MoEAD: A Parameter-Efficient Model for Multi-class Anomaly Detection
ECCV 2024 ·
Shiyuan Meng
, Wenchao Meng,
Qihang Zhou
,
Shizhong Li
,
Weiye Hou
,
Shibo He
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection
NeurIPS 2024 ·
Qihang Zhou
,
Jiangtao Yan
,
Shibo He
, Wenchao Meng,
Jiming Chen