15 citations · 17 across the 10 of their papers we have counts for
11 papers
SPec: Adaptive Self-Speculative Decoding for Vision-Language Models
Yuqi Huang, Xingyao Li, Yunlong Hou +3
Speculative Decoding (SD) has demonstrated its efficacy in accelerating large language model inference, but for Vision-Language Models (VLMs), the diverse input modalities make it…
BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms
Yunlong Hou, Fengzhuo Zhang, Cunxiao Du +6
Speculative decoding has emerged as a popular method to accelerate the inference of Large Language Models (LLMs) while retaining their superior text generation performance. Previou…
Enhancing Long Video Generation Consistency without Tuning
Xingyao Li, Fengzhuo Zhang, Jiachun Pan +3
Despite the considerable progress achieved in the long video generation problem, there is still significant room to improve the consistency of the generated videos, particularly in…
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
Jingyang Li, Jiachun Pan, Vincent Y. F. Tan +2
Semi-supervised learning (SSL), exemplified by FixMatch (Sohn et al., 2020), has shown significant generalization advantages over supervised learning (SL), particularly in the cont…
Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method
Jiachun Pan, Hanshu Yan, Jun Hao Liew +2
Training-free guided sampling in diffusion models leverages off-the-shelf pre-trained networks, such as an aesthetic evaluation model, to guide the generation process. Current trai…
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
Jiachun Pan, Jun Hao Liew, Vincent Y. F. Tan +2
Existing customization methods require access to multiple reference examples to align pre-trained diffusion probabilistic models (DPMs) with user-provided concepts. This paper aims…
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
Yujun Shi, Chuhui Xue, Jun Hao Liew +5
Accurate and controllable image editing is a challenging task that has attracted significant attention recently. Notably, DragGAN is an interactive point-based image editing framew…
Asymptotic Nash Equilibrium for the -ary Sequential Adversarial Hypothesis Testing Game
Jiachun Pan, Yonglong Li, Vincent Y. F. Tan
In this paper, we consider a novel -ary sequential hypothesis testing problem in which an adversary is present and perturbs the distributions of the samples before the decision…
Asymptotics of Sequential Composite Hypothesis Testing under Probabilistic Constraints
Jiachun Pan, Yonglong Li, Vincent Y. F. Tan
We consider the sequential composite binary hypothesis testing problem in which one of the hypotheses is governed by a single distribution while the other is governed by a family o…
On the Error Exponent of Approximate Sufficient Statistics for M-ary Hypothesis Testing
Jiachun Pan, Yonglong Li, Vincent Y. F. Tan +1
Consider the problem of detecting one of M i.i.d. Gaussian signals corrupted in white Gaussian noise. Conventionally, matched filters are used for detection. We first show that the…
Identifying Rumor Sources Using Dominant Eigenvalue of Nonbacktracking Matrix
Jiachun Pan, Wenyi Zhang
We consider the problem of identifying rumor sources in a network, in which rumor spreading obeys a time-slotted susceptible-infected model. Unlike existing approaches, our propose…