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20242026
most citedRethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective

2 citations · 2 across the 6 of their papers we have counts for

collaborators

8 papers

cs.LG2026

On the Plasticity and Stability for Post-Training Large Language Models

Wenwen Qiang, Ziyin Gu, Jiahuan Zhou +4

Training stability remains a critical bottleneck for Group Relative Policy Optimization (GRPO), often manifesting as a trade-off between reasoning plasticity and general capability…

cs.CL2026

Causal Front-Door Adjustment for Robust Jailbreak Attacks on LLMs

Yao Zhou, Zeen Song, Wenwen Qiang +4

Safety alignment mechanisms in Large Language Models (LLMs) often operate as latent internal states, obscuring the model's inherent capabilities. Building on this observation, we m…

cs.CV2025

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation

Wenwen Qiang, Ziyin Gu, Lingyu Si +4

In this paper, we addressed the limitation of relying solely on distribution alignment and source-domain empirical risk minimization in Unsupervised Domain Adaptation (UDA). Our in…

cs.LG2025

Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs

Jingyao Wang, Wenwen Qiang, Zeen Song +2

Large language models (LLMs) excel at complex tasks thanks to advances in their reasoning abilities. However, existing methods overlook the trade-off between reasoning effectivenes…

cs.CV2024

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition

Jingyao Wang, Wenwen Qiang, Changwen Zheng +1

Fine-grained emotion recognition (FER) plays a vital role in various fields, such as disease diagnosis, personalized recommendations, and multimedia mining. However, existing FER m…

cs.AI20242 cited

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective

Jiangmeng Li, Zehua Zang, Qirui Ji +6

Representations learned by self-supervised approaches are generally considered to possess sufficient generalizability and discriminability. However, we disclose a nontrivial mutual…