Denghui Zhang

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

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Bibliography

2026
Randomized Antipodal Search Done Right for Data Pareto Improvement of LLM Unlearning.
CoRR, April, 2026

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation.
CoRR, April, 2026

Learning from the Right Rollouts: Data Attribution for PPO-based LLM Post-Training.
CoRR, April, 2026

Causally-Guided Diffusion for Stable Feature Selection.
CoRR, March, 2026

FinRule-Bench: A Benchmark for Joint Reasoning over Financial Tables and Principles.
CoRR, March, 2026

OSExpert: Computer-Use Agents Learning Professional Skills via Exploration.
CoRR, March, 2026

Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks.
CoRR, February, 2026

A Geospatial Grid Constrained Deep Learning Prediction Framework Based on AIS Data for Improving Vessel Traffic Services in Maritime Internet of Things.
IEEE Internet Things J., 2026

Pavlov's Dog and Large Language Models: The Double-Edged Power of Context Conditioning.
IEEE Intell. Syst., 2026

2025
FinMem: A Performance-Enhanced LLM Trading Agent With Layered Memory and Character Design.
IEEE Trans. Big Data, December, 2025

Agentic AutoSurvey: Let LLMs Survey LLMs.
CoRR, September, 2025

Large Language Models as Virtual Survey Respondents: Evaluating Sociodemographic Response Generation.
CoRR, September, 2025

Context Engineering for Trustworthiness: Rescorla Wagner Steering Under Mixed and Inappropriate Contexts.
CoRR, September, 2025

Automating Financial Statement Audits with Large Language Models.
CoRR, June, 2025

Atomic Reasoning for Scientific Table Claim Verification.
CoRR, June, 2025

Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity.
CoRR, June, 2025

RM-R1: Reward Modeling as Reasoning.
CoRR, May, 2025

Sensitivity Meets Sparsity: The Impact of Extremely Sparse Parameter Patterns on Theory-of-Mind of Large Language Models.
CoRR, April, 2025

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective.
CoRR, February, 2025

Internal Activation as the Polar Star for Steering Unsafe LLM Behavior.
CoRR, February, 2025

ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Parity LLM Data Valuation.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Position: Iterative Online-Offline Joint Optimization is Needed to Manage Complex LLM Copyright Risks.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

MLSDET: Multi-LLM Statistical Deep Ensemble for Chinese AI-Generated Text Detection.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

ISACL: Internal State Analyzer for Copyrighted Training Data Leakage.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

DEL-ToM: Inference-Time Scaling for Theory-of-Mind Reasoning via Dynamic Epistemic Logic.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Rescorla-Wagner Steering of LLMs for Undesired Behaviors over Disproportionate Inappropriate Context.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Profiling LLM's Copyright Infringement Risks under Adversarial Persuasive Prompting.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

SafeSwitch: Steering Unsafe LLM Behavior via Internal Activation Signals.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Beyond Reactive Safety: Risk-Aware LLM Alignment via Long-Horizon Simulation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

EscapeBench: Towards Advancing Creative Intelligence of Language Model Agents.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
LEVER: Online Adaptive Sequence Learning Framework for High-Frequency Trading.
IEEE Trans. Knowl. Data Eng., November, 2024

EscapeBench: Pushing Language Models to Think Outside the Box.
CoRR, 2024

Measuring Copyright Risks of Large Language Model via Partial Information Probing.
CoRR, 2024

FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making.
CoRR, 2024

FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Structure Design and Control of Magnetic Levitated Needle Driving System.
Proceedings of the Intelligent Robotics and Applications - 17th International Conference, 2024

Motion Control of Single-Degree-of-Freedom Magnetic Suspension System Based on Both Position and Flux Feedback.
Proceedings of the Intelligent Robotics and Applications - 17th International Conference, 2024

AlphaVC: A Reinforcement Learning-based Venture Capital Investment Strategy.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

Do LLMs Know to Respect Copyright Notice?
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design.
Proceedings of the AAAI 2024 Spring Symposium Series, 2024

Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Multi-Faceted Knowledge-Driven Pre-Training for Product Representation Learning.
IEEE Trans. Knowl. Data Eng., July, 2023

RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training.
IEEE Trans. Big Data, February, 2023

A Comprehensive Taxonomy for Prediction Models in Software Engineering.
Inf., February, 2023

FinMe: A Performance-Enhanced Large Language Model Trading Agent with Layered Memory and Character Design.
CoRR, 2023

Fine-Tuning Swin Transformer and Multiple Weights Optimality-Seeking for Facial Expression Recognition.
IEEE Access, 2023

Acqui-hiring or Acqui-quitting: Post-M&A Turnover Prediction via a Dual-fit Model.
Proceedings of the 27th Pacific Asia Conference on Information Systems, 2023

Graph Learning of Multifaceted Motivations for Online Engagement Prediction in Counter-party Social Networks.
Proceedings of the 44th International Conference on Information Systems, 2023

Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Link Prediction in Knowledge Graphs: A Hierarchy-Constrained Approach.
IEEE Trans. Big Data, 2022

Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations.
CoRR, 2022

Graph Soft-Contrastive Learning via Neighborhood Ranking.
CoRR, 2022

Towards Learning Disentangled Representations for Time Series.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Learning to Walk with Dual Agents for Knowledge Graph Reasoning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Temperature Measurement and Control Application in a Laser Plastic Surgery Real Temperature Detection System.
Sci. Program., 2021

Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment.
CoRR, 2021

Learning Disentangled Representations for Time Series.
CoRR, 2021

Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce.
CoRR, 2020

Spatio-Temporal Dual Graph Attention Network for Query-POI Matching.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

T<sup>2</sup>-Net: A Semi-supervised Deep Model for Turbulence Forecasting.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
A novel complex network-based modeling method for heterogeneous product design.
Clust. Comput., 2019

A modeling and optimization method for heterogeneous objects based on complex networks theory.
Clust. Comput., 2019

Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

SGXPy: Protecting Integrity of Python Applications with Intel SGX.
Proceedings of the 26th Asia-Pacific Software Engineering Conference, 2019

A Lexical Conversion as Preprocessing Method for Text Intention Classification.
Proceedings of the International Conference on Artificial Intelligence and Advanced Manufacturing, 2019

2018
Path-Based Attention Neural Model for Fine-Grained Entity Typing.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Efficient Parallel Translating Embedding For Knowledge Graphs.
CoRR, 2017

Efficient parallel translating embedding for knowledge graphs.
Proceedings of the International Conference on Web Intelligence, 2017

2011
Conjugate Gradient Method Neural Network for Medium Resolution Remote Sensing Image Classification.
Proceedings of the Applied Informatics and Communication - International Conference, 2011

2006
Implementation of a Data Node in China's Spatial Information Grid Based on NWGISS.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006


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