activity
20232025
most citedRank-DETR for High Quality Object Detection

25 citations · 48 across the 6 of their papers we have counts for

collaborators

8 papers

cs.CV2025

Mixture of States: Routing Token-Level Dynamics for Multimodal Generation

Haozhe Liu, Ding Liu, Mingchen Zhuge +16

We introduce MoS (Mixture of States), a novel fusion paradigm for multimodal diffusion models that merges modalities using flexible, state-based interactions. The core of MoS is a…

cs.AI2025

Causal Head Gating: A Framework for Interpreting Roles of Attention Heads in Transformers

Andrew Nam, Henry Conklin, Yukang Yang +3

We present causal head gating (CHG), a scalable method for interpreting the functional roles of attention heads in transformer models. CHG learns soft gates over heads and assigns…

cs.CL2025★ 1 cited

Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models

Yukang Yang, Declan Campbell, Kaixuan Huang +3

Many recent studies have found evidence for emergent reasoning capabilities in large language models (LLMs), but debate persists concerning the robustness of these capabilities, an…

cs.LG2025

Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models

Yingqing Guo, Yukang Yang, Hui Yuan +1

Training-free guidance enables controlled generation in diffusion and flow models, but most methods rely on gradients and assume differentiable objectives. This work focuses on tra…

cs.LG2024★ 1 cited

Latent Diffusion Models for Controllable RNA Sequence Generation

Kaixuan Huang, Yukang Yang, Kaidi Fu +3

This work presents RNAdiffusion, a latent diffusion model for generating and optimizing discrete RNA sequences of variable lengths. RNA is a key intermediary between DNA and protei…

stat.ML2024★ 4 cited

Gradient Guidance for Diffusion Models: An Optimization Perspective

Yingqing Guo, Hui Yuan, Yukang Yang +2

Diffusion models have demonstrated empirical successes in various applications and can be adapted to task-specific needs via guidance. This paper studies a form of gradient guidanc…

cs.CV2023★ 25 cited

Rank-DETR for High Quality Object Detection

Yifan Pu, Weicong Liang, Yiduo Hao +5

Modern detection transformers (DETRs) use a set of object queries to predict a list of bounding boxes, sort them by their classification confidence scores, and select the top-ranke…

cs.CV2023★ 17 cited

GlyphControl: Glyph Conditional Control for Visual Text Generation

Yukang Yang, Dongnan Gui, Yuhui Yuan +4

Recently, there has been an increasing interest in developing diffusion-based text-to-image generative models capable of generating coherent and well-formed visual text. In this pa…