activity
20172025
most citedConvolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection

96 citations · 164 across the 24 of their papers we have counts for

collaborators

30 papers

astro-ph.HE2025

Measurement of the cosmic ray nickel energy spectrum from 10 GeV/n to 2 TeV/n with the DAMPE

F. Alemanno, Q. An, P. Azzarello +144

Nickel, one of the most tightly bound nuclei alongside iron, is the most abundant heavy element beyond iron in cosmic rays. With DAMPE's excellent charge resolution and broad energ…

cs.CL2025

MixLLM: Dynamic Routing in Mixed Large Language Models

Xinyuan Wang, Yanchi Liu, Wei Cheng +5

Large Language Models (LLMs) exhibit potential artificial generic intelligence recently, however, their usage is costly with high response latency. Given mixed LLMs with their own…

cs.LG2025

Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion

Binchi Zhang, Zaiyi Zheng, Zhengzhang Chen +1

Symmetry in the parameter space of deep neural networks (DNNs) has proven beneficial for various deep learning applications. A well-known example is the permutation symmetry in Mul…

cs.CL2025

Resolving Editing-Unlearning Conflicts: A Knowledge Codebook Framework for Large Language Model Updating

Binchi Zhang, Zhengzhang Chen, Zaiyi Zheng +2

Large Language Models (LLMs) excel in natural language processing by encoding extensive human knowledge, but their utility relies on timely updates as knowledge evolves. Updating L…

cs.LG2025

Iterative Feature Space Optimization through Incremental Adaptive Evaluation

Yanping Wu, Yanyong Huang, Zhengzhang Chen +5

Iterative feature space optimization involves systematically evaluating and adjusting the feature space to improve downstream task performance. However, existing works suffer from…

cs.LG2024

Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery

ChengAo Shen, Zhengzhang Chen, Dongsheng Luo +3

Causal discovery is an imperative foundation for decision-making across domains, such as smart health, AI for drug discovery and AIOps. Traditional statistical causal discovery met…