We stand with Ukraine

We stand with Ukraine

Zimu Wang

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026

GraphRAG-Router: Learning Cost-Efficient Routing over GraphRAGs and LLMs with Reinforcement Learning.

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CoRR, April, 2026

Do No Harm: Exposing Hidden Vulnerabilities of LLMs via Persona-based Client Simulation Attack in Psychological Counseling.

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Zhaoxiang Zhang

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CoRR, April, 2026

EffiSkill: Agent Skill Based Automated Code Efficiency Optimization.

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CoRR, March, 2026

AI-Driven Holographic Counterpart Framework for Early Detection of Hepatocellular and Biliary Cancers in Consumer-Centric IoT-Based Diagnostic Tools.

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IEEE Trans. Consumer Electron., February, 2026

PsychEthicsBench: Evaluating Large Language Models Against Australian Mental Health Ethics.

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CoRR, January, 2026

A benchmark and method for photographed table reasoning.

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Pattern Recognit., 2026

PV-LiverNet: A multi-phase temporal fusion framework unifying voxel semantics and point geometry for liver tumor segmentation and classification.

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Inf. Fusion, 2026

MSN-Net: A Multi-Scale Semantic Awareness Neural Network for Depression Risk Assessment.

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IEEE Access, 2026

CHiRPE: A Step Towards Real-World Clinical NLP with Clinician-Oriented Model Explanations.

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Guilherme C. Oliveira

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Beau-Luke Colton

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Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

You Never Know a Person, You Only Know Their Defenses: Detecting Levels of Psychological Defense Mechanisms in Supportive Conversations.

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Grace Ziqi Zhou

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CoRR, December, 2025

It Hears, It Sees too: Multi-Modal LLM for Depression Detection By Integrating Visual Understanding into Audio Language Models.

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Maxmartwell H. Cheng

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Guilherme C. Oliveira

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Robert Desimone

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CoRR, November, 2025

FinDebate: Multi-Agent Collaborative Intelligence for Financial Analysis.

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CoRR, September, 2025

LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence.

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CoRR, September, 2025

Disentangling the Drivers of LLM Social Conformity: An Uncertainty-Moderated Dual-Process Mechanism.

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CoRR, August, 2025

LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Research.

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George Michalopoulos

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CoRR, June, 2025

AdaptSel: Adaptive Selection of Biased and Debiased Recommendation Models for Varying Test Environments.

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ACM Trans. Knowl. Discov. Data, February, 2025

Exploring and Exploiting Data Heterogeneity in Recommendation.

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ACM Trans. Knowl. Discov. Data, 2025

PDMC: Generating Feasible Algorithmic Recourse via Perturbation Data Manifold Constraint.

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Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Benchmarking and Improving LVLMs on Event Extraction from Multimedia Documents.

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Proceedings of the 18th International Natural Language Generation Conference, 2025

NUMINA: A Natural Understanding Benchmark for Multi-dimensional Intelligence and Numerical Reasoning Abilities.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Research.

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George Michalopoulos

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Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Can GRPO Boost Complex Multimodal Table Understanding?

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Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

WISE: Weak-Supervision-Guided Step-by-Step Explanations for Multimodal LLMs in Image Classification.

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Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Lost in Pronunciation: Detecting Chinese Offensive Language Disguised by Phonetic Cloaking Replacement.

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Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

MedFact: A Large-scale Chinese Dataset for Evidence-based Medical Fact-checking of LLM Responses.

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Zhengyong Jiang

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Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

FTCFormer: Fuzzy Token Clustering Transformer for Image Classification.

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Guangliang Cheng

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Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

Skin Disease Classification with LVLMs: An Empirical Study.

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Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

MMKNet: A Multi-Modal Knowledge Network for Predicting Both Seen and Unseen Classes in Medical Imaging.

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Muhammad Hanif Ramlee

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Wan Mahani Hafizah

Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

Detecting Conversational Mental Manipulation with Intent-Aware Prompting.

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Proceedings of the 31st International Conference on Computational Linguistics, 2025

Unveiling the Linguistic Acceptability Judgments of Large Language Models in Multilingual Contexts.

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Proceedings of the Chinese Computational Linguistics - 24th China National Conference, 2025

A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions.

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Proceedings of the Findings of the Association for Computational Linguistics, 2025

Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation.

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Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

TKP-Net: A Three Keypoint Detection Network for Ships Using SAR Imagery.

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IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

A Monocular Ranging Method for Ship Targets Based on Unmanned Surface Vessels in a Shaking Environment.

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Remote. Sens., 2024

Language-based Audio Retrieval with Co-Attention Networks.

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CoRR, 2024

Guardians of Discourse: Evaluating LLMs on Multilingual Offensive Language Detection.

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CoRR, 2024

Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering.

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CoRR, 2024

Rethinking Human-like Translation Strategy: Integrating Drift-Diffusion Model with Large Language Models for Machine Translation.

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Mieradilijiang Maimaiti

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CoRR, 2024

Knowledge Distillation from Monolingual to Multilingual Models for Intelligent and Interpretable Multilingual Emotion Detection.

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Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, 2024

Domain-specific Guided Summarization for Mental Health Posts.

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Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation, 2024

MEQA: A Benchmark for Multi-hop Event-centric Question Answering with Explanations.

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Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Knowledge Base-enhanced Multilingual Relation Extraction with Large Language Models.

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Zhengyong Jiang

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Proceedings of the First International OpenKG Workshop: Large Knowledge-Enhanced Models co-locacted with The International Joint Conference on Artificial Intelligence (IJCAI 2024), 2024

MTSwitch: A Web-based System for Translation between Molecules and Texts.

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Proceedings of the 17th International Natural Language Generation Conference, 2024

Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

FinBPM: A Framework for Portfolio Management-based Financial Investor Behavior Perception Model.

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Zhengyong Jiang

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Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Generating Valid and Natural Adversarial Examples with Large Language Models.

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Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023

When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks.

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CoRR, 2023

CMG: Class and mask guided network for hippocampus and its subregions segmentation.

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Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering, 2023

OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding.

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Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Attention-Based Multimodal Bilinear Feature Fusion for Lung Cancer Survival Analysis.

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Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023

2022

CausPref: Causal Preference Learning for Out-of-Distribution Recommendation.

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Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Invariant Preference Learning for General Debiasing in Recommendation.

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Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Traffic Data Scheduling of Frequent Application Sets for Task Offloading in Multi-access Edge Computing.

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Proceedings of the IEEE International Conference on Communications, 2022

MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction.

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Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges.

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Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Battery Management System Design for Industrial Manufacture.

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Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

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