Publications (24)
Infer Implicit Contexts in Real-time Online-to-Offline Recommendation
Xichen Ding, Jie Tang, Tracy Liu +5
Understanding users' context is essential for successful recommendations, especially for Online-to-Offline (O2O) recommendation, such as Yelp, Groupon, and Koubei. Different from t…
A Survey of Large Language Models in Discipline-specific Research: Challenges, Methods and Opportunities
Lu Xiang, Yang Zhao, Yaping Zhang +1
Large Language Models (LLMs) have demonstrated their transformative potential across numerous disciplinary studies, reshaping the existing research methodologies and fostering inte…
Listening to the Echo: User-Reaction Aware Policy Optimization via Scalar-Verbal Hybrid Reinforcement Learning
Jing Ye, Xinpei Zhao, Lu Xiang +2
While current emotional support dialogue systems typically rely on expert-defined scalar rewards for alignment, these signals suffer from severe information sparsity. They cannot e…
Electron irradiation induced reduction of the permittivity in chalcogenide glass (As2S3) thin film
Damián P. San-Román-Alerigi, Dalaver H. Anjum, Yaping Zhang +5
We investigate the effect of electron beam irradiation on the dielectric properties of As2S3 Chalcogenide glass. By means of low-loss Electron Energy Loss Spectroscopy, we derive t…
EmoHarbor: Evaluating Personalized Emotional Support by Simulating the User's Internal World
Jing Ye, Lu Xiang, Yaping Zhang +1
Current evaluation paradigms for emotional support conversations tend to reward generic empathetic responses, yet they fail to assess whether the support is genuinely personalized…
PromptDLA: A Domain-aware Prompt Document Layout Analysis Framework with Descriptive Knowledge as a Cue
Zirui Zhang, Yaping Zhang, Lu Xiang +4
Document Layout Analysis (DLA) is crucial for document artificial intelligence and has recently received increasing attention, resulting in an influx of large-scale public DLA data…
Item-centric Exploration for Cold Start Problem
Dong Wang, Junyi Jiao, Arnab Bhadury +3
Recommender systems face a critical challenge in the item cold-start problem, which limits content diversity and exacerbates popularity bias by struggling to recommend new items. W…
Deep Segment Attentive Embedding for Duration Robust Speaker Verification
Bin Liu, Shuai Nie, Yaping Zhang +2
LSTM-based speaker verification usually uses a fixed-length local segment randomly truncated from an utterance to learn the utterance-level speaker embedding, while using the avera…
ConInfer: Context-Aware Inference for Training-Free Open-Vocabulary Remote Sensing Segmentation
Wenyang Chen, Zhanxuan Hu, Yaping Zhang +2
Training-free open-vocabulary remote sensing segmentation (OVRSS), empowered by vision-language models, has emerged as a promising paradigm for achieving category-agnostic semantic…
Boosting Noise Robustness of Acoustic Model via Deep Adversarial Training
Bin Liu, Shuai Nie, Yaping Zhang +3
In realistic environments, speech is usually interfered by various noise and reverberation, which dramatically degrades the performance of automatic speech recognition (ASR) system…
HiSciBench: A Hierarchical Multi-disciplinary Benchmark for Scientific Intelligence from Reading to Discovery
Yaping Zhang, Qixuan Zhang, Xingquan Zhang +8
The rapid advancement of large language models (LLMs) and multimodal foundation models has sparked growing interest in their potential for scientific research. However, scientific…
From Generic Empathy to Personalized Emotional Support: A Self-Evolution Framework for User Preference Alignment
Jing Ye, Lu Xiang, Yaping Zhang +1
Effective emotional support hinges on understanding users' emotions and needs to provide meaningful comfort during multi-turn interactions. Large Language Models (LLMs) show great…
ICDAR 2025 Competition on End-to-End Document Image Machine Translation Towards Complex Layouts
Yaping Zhang, Yupu Liang, Zhiyang Zhang +5
Document Image Machine Translation (DIMT) seeks to translate text embedded in document images from one language to another by jointly modeling both textual content and page layout,…
Improving End-to-End Text Image Translation From the Auxiliary Text Translation Task
Cong Ma, Yaping Zhang, Mei Tu +4
End-to-end text image translation (TIT), which aims at translating the source language embedded in images to the target language, has attracted intensive attention in recent resear…
Single-to-mix Modality Alignment with Multimodal Large Language Model for Document Image Machine Translation
Yupu Liang, Yaping Zhang, Zhiyang Zhang +4
Document Image Machine Translation (DIMT) aims to translate text within document images, facing generalization challenges due to limited training data and the complex interplay bet…
E2TIMT: Efficient and Effective Modal Adapter for Text Image Machine Translation
Cong Ma, Yaping Zhang, Mei Tu +3
Text image machine translation (TIMT) aims to translate texts embedded in images from one source language to another target language. Existing methods, both two-stage cascade and o…
SweetieChat: A Strategy-Enhanced Role-playing Framework for Diverse Scenarios Handling Emotional Support Agent
Jing Ye, Lu Xiang, Yaping Zhang +1
Large Language Models (LLMs) have demonstrated promising potential in providing empathetic support during interactions. However, their responses often become verbose or overly form…
Sequential Convolutional Recurrent Neural Networks for Fast Automatic Modulation Classification
Kaisheng Liao, Yaodong Zhao, Jie Gu +2
A novel and efficient end-to-end learning model for automatic modulation classification is proposed for wireless spectrum monitoring applications, which automatically learns from t…
Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders
Yueqi Wang, Yoni Halpern, Shuo Chang +9
Sequential recommenders have been widely used in industry due to their strength in modeling user preferences. While these models excel at learning a user's positive interests, less…
Item Level Exploration Traffic Allocation in Large-scale Recommendation Systems
Dong Wang, Junyi Jiao, Arnab Bhadury +2
This paper contributes to addressing the item cold start problem in large-scale recommender systems, focusing on how to efficiently gain initial visibility for newly ingested conte…
Multi-Teacher Knowledge Distillation For Text Image Machine Translation
Cong Ma, Yaping Zhang, Mei Tu +3
Text image machine translation (TIMT) has been widely used in various real-world applications, which translates source language texts in images into another target language sentenc…
Generation of J0-Bessel-Gauss Beam by an heterogeneous refractive index map
Damian P. San Roman Alerigi, Tien K. Ng, Ahmed Benslimane +3
In this paper, we present the theoretical studies of a refractive index map to implement a Gauss to J0-Bessel-Gauss convertor. We theoretically demonstrate the viability of such de…
Improving MLLM's Document Image Machine Translation via Synchronously Self-reviewing Its OCR Proficiency
Yupu Liang, Yaping Zhang, Zhiyang Zhang +5
Multimodal Large Language Models (MLLMs) have shown strong performance in document image tasks, especially Optical Character Recognition (OCR). However, they struggle with Document…
MMTIT-Bench: A Multilingual and Multi-Scenario Benchmark with Cognition-Perception-Reasoning Guided Text-Image Machine Translation
Gengluo Li, Chengquan Zhang, Yupu Liang +9
End-to-end text-image machine translation (TIMT), which directly translates textual content in images across languages, is crucial for real-world multilingual scene understanding.…