62 citations · 88 across the 12 of their papers we have counts for
13 papers
Mixture of Decoders for Diverse Dialog Response Generation
Wenchao Du
Mixture modeling is a long established machine learning technique for learning large sets of multi-modal data. While it is known that sequence-to-sequence models for dialog respons…
OPDSearch+: On-Policy Distillation with RL Refinement for Search-Augmented Reasoning
Qinglin Ye, Zhiyuan Gu, Jingjie Xia +6
Search-augmented reasoning remains difficult for small language models. On-policy distillation (OPD) from trained teachers offers a promising direction, but suffers from two issues…
Semi-Supervised Gaze Estimation via Disentangled Subspace Contrastive Learning
Qida Tan, Hongyu Yang, Wenchao Du
Appearance-based gaze estimation always suffers from poor generalization due to limited annotated samples and insufficient dataset diversity. Leading approaches adopt weakly superv…
Progressively Texture-Aware Diffusion for Contrast-Enhanced Sparse-View CT
Tianqi Wang, Wenchao Du, Hongyu Yang
Diffusion-based sparse-view CT (SVCT) imaging has achieved remarkable advancements in recent years, thanks to its more stable generative capability. However, recovering reliable im…
Hybrid-Domain Adaptative Representation Learning for Gaze Estimation
Qida Tan, Hongyu Yang, Wenchao Du
Appearance-based gaze estimation, aiming to predict accurate 3D gaze direction from a single facial image, has made promising progress in recent years. However, most methods suffer…
Affective Behavior Analysis using Task-adaptive and AU-assisted Graph Network
Xiaodong Li, Wenchao Du, Hongyu Yang
In this paper, we present our solution and experiment result for the Multi-Task Learning Challenge of the 7th Affective Behavior Analysis in-the-wild(ABAW7) Competition. This chall…
Fast and Stable Diffusion Inverse Solver with History Gradient Update
Linchao He, Hongyu Yan, Mengting Luo +8
Diffusion models have recently been recognised as efficient inverse problem solvers due to their ability to produce high-quality reconstruction results without relying on pairwise…
Hierarchical Disentangled Representation for Invertible Image Denoising and Beyond
Wenchao Du, Hu Chen, Yi Zhang +1
Image denoising is a typical ill-posed problem due to complex degradation. Leading methods based on normalizing flows have tried to solve this problem with an invertible transforma…
Depth Completion using Geometry-Aware Embedding
Wenchao Du, Hu Chen, Hongyu Yang +1
Exploiting internal spatial geometric constraints of sparse LiDARs is beneficial to depth completion, however, has been not explored well. This paper proposes an efficient method t…
Learning Invariant Representation for Unsupervised Image Restoration
Wenchao Du, Hu Chen, Hongyu Yang
Recently, cross domain transfer has been applied for unsupervised image restoration tasks. However, directly applying existing frameworks would lead to domain-shift problems in tra…
Visual Attention Network for Low Dose CT
Wenchao Du, Hu Chen, Peixi Liao +3
Noise and artifacts are intrinsic to low dose CT (LDCT) data acquisition, and will significantly affect the imaging performance. Perfect noise removal and image restoration is intr…
Data Augmentation for Neural Online Chat Response Selection
Wenchao Du, Alan W Black
Data augmentation seeks to manipulate the available data for training to improve the generalization ability of models. We investigate two data augmentation proxies, permutation and…
Discovering Conversational Dependencies between Messages in Dialogs
Wenchao Du, Pascal Poupart, Wei Xu
We investigate the task of inferring conversational dependencies between messages in one-on-one online chat, which has become one of the most popular forms of customer service. We…