activity
20162021
most citedDistributed Convex Optimization with Inequality Constraints over Time-varying Unbalanced Digraphs

3 citations · 4 across the 3 of their papers we have counts for

collaborators

10 papers

cs.CV2024

Rethinking the Architecture Design for Efficient Generic Event Boundary Detection

Ziwei Zheng, Zechuan Zhang, Yulin Wang +3

Generic event boundary detection (GEBD), inspired by human visual cognitive behaviors of consistently segmenting videos into meaningful temporal chunks, finds utility in various ap…

math.NA20241 cited

Global-in-time energy stability: a powerful analysis tool for the gradient flow problem without maximum principle or Lipschitz assumption

J. Sun, H. Wang, H. Zhang +2

Before proving (unconditional) energy stability for gradient flows, most existing studies either require a strong Lipschitz condition regarding the non-linearity or certain $L^{\in…

cs.CV2024

Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis

Zanlin Ni, Yulin Wang, Renping Zhou +6

The field of image synthesis is currently flourishing due to the advancements in diffusion models. While diffusion models have been successful, their computational intensity has pr…

cs.LG2024

Probabilistic Contrastive Learning for Long-Tailed Visual Recognition

Chaoqun Du, Yulin Wang, Shiji Song +1

Long-tailed distributions frequently emerge in real-world data, where a large number of minority categories contain a limited number of samples. Such imbalance issue considerably i…

math.OC20237 cited

A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation

Haofeng Yuan, Lichang Fang, Shiji Song

Column generation (CG) is one of the most successful approaches for solving large-scale linear programming (LP) problems. Given an LP with a prohibitively large number of variables…

cs.AI20235 cited

Avalon's Game of Thoughts: Battle Against Deception through Recursive Contemplation

Shenzhi Wang, Chang Liu, Zilong Zheng +7

Recent breakthroughs in large language models (LLMs) have brought remarkable success in the field of LLM-as-Agent. Nevertheless, a prevalent assumption is that the information proc…