Denghui Zhang

81 papers A* 14A 1B 1C 3Misc 1Journal 47Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
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.
Wenjing Yan, Jiabao Wen, Keping Yu, Denghui Zhang, Shuo Wang, Yiyuan Li, Yuanyuan Cai
2026 J jnl
Causally-Guided Diffusion for Stable Feature Selection.
CoRR
Arun Vignesh Malarkkan, Xinyuan Wang, Kunpeng Liu, Denghui Zhang, Yanjie Fu
2026 J jnl
Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks.
CoRR
Guangwei Zhang, Jianing Zhu, Cheng Qian, Neil Gong, Rada Mihalcea, Zhaozhuo Xu, Jingrui He, Jiaqi Ma, Yun Huang, Chaowei Xiao, Bowen Li, Ahmed Abbasi, Dongwon Lee, Heng Ji, Denghui Zhang
2026 J jnl
FinRule-Bench: A Benchmark for Joint Reasoning over Financial Tables and Principles.
CoRR
Arun Vignesh Malarkkan, Manan Roy Choudhury, Guangwei Zhang, Vivek Gupta, Qingyun Wang, Yanjie Fu, Denghui Zhang
2026 J jnl
OSExpert: Computer-Use Agents Learning Professional Skills via Exploration.
CoRR
Jiateng Liu, Zhenhailong Wang, Rushi Wang, Bingxuan Li, Jeonghwan Kim, Aditi Tiwari, Pengfei Yu, Denghui Zhang, Heng Ji
2026 J jnl
Pavlov's Dog and Large Language Models: The Double-Edged Power of Context Conditioning.
IEEE Intell. Syst.
Denghui Zhang, Rushi Wang, Jiateng Liu, Kezia Oketch, Yiyu Shi, Heng Ji, Ahmed Abbasi
2025 J jnl
A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective.
CoRR
Wangyang Ying, Cong Wei, Nanxu Gong, Xinyuan Wang, Haoyue Bai, Arun Vignesh Malarkkan, Sixun Dong, Dongjie Wang, Denghui Zhang, Yanjie Fu
2025 — conf
ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Parity LLM Data Valuation.
NAACL (Long Papers)
Yanzhou Pan, Huawei Lin, Yide Ran, Jiamin Chen, Xiaodong Yu, Weijie Zhao, Denghui Zhang, Zhaozhuo Xu
2025 J jnl
ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Parity LLM Data Valuation.
CoRR
Yanzhou Pan, Huawei Lin, Yide Ran, Jiamin Chen, Xiaodong Yu, Weijie Zhao, Denghui Zhang, Zhaozhuo Xu
2025 J jnl
Agentic AutoSurvey: Let LLMs Survey LLMs.
CoRR
Yixin Liu, Yonghui Wu, Denghui Zhang, Lichao Sun
2025 J jnl
Atomic Reasoning for Scientific Table Claim Verification.
CoRR
Yuji Zhang, Qingyun Wang, Cheng Qian, Jiateng Liu, Chenkai Sun, Denghui Zhang, Tarek F. Abdelzaher, ChengXiang Zhai, Preslav Nakov, Heng Ji
2025 J jnl
Automating Financial Statement Audits with Large Language Models.
CoRR
Rushi Wang, Jiateng Liu, Weijie Zhao, Shenglan Li, Denghui Zhang
2025 — conf
Beyond Reactive Safety: Risk-Aware LLM Alignment via Long-Horizon Simulation.
ACL (Findings)
Chenkai Sun, Denghui Zhang, ChengXiang Zhai, Heng Ji
2025 J jnl
Beyond Reactive Safety: Risk-Aware LLM Alignment via Long-Horizon Simulation.
CoRR
Chenkai Sun, Denghui Zhang, ChengXiang Zhai, Heng Ji
2025 J jnl
Context Engineering for Trustworthiness: Rescorla Wagner Steering Under Mixed and Inappropriate Contexts.
CoRR
Rushi Wang, Jiateng Liu, Cheng Qian, Yifan Shen, Yanzhou Pan, Zhaozhuo Xu, Ahmed Abbasi, Heng Ji, Denghui Zhang
2025 A* conf
DEL-ToM: Inference-Time Scaling for Theory-of-Mind Reasoning via Dynamic Epistemic Logic.
EMNLP
Yuheng Wu, Jianwen Xie, Denghui Zhang, Zhaozhuo Xu
2025 J jnl
DEL-ToM: Inference-Time Scaling for Theory-of-Mind Reasoning via Dynamic Epistemic Logic.
CoRR
Yuheng Wu, Jianwen Xie, Denghui Zhang, Zhaozhuo Xu
2025 — conf
EscapeBench: Towards Advancing Creative Intelligence of Language Model Agents.
ACL (1)
Cheng Qian, Peixuan Han, Qinyu Luo, Bingxiang He, Xiusi Chen, Yuji Zhang, Hongyi Du, Jiarui Yao, Xiaocheng Yang, Denghui Zhang, Yunzhu Li, Heng Ji
2025 J jnl
FinMem: A Performance-Enhanced LLM Trading Agent With Layered Memory and Character Design.
IEEE Trans. Big Data
Yangyang Yu, Haohang Li, Zhi Chen, Yuechen Jiang, Yang Li, Jordan W. Suchow, Denghui Zhang, Khaldoun Khashanah
2025 — conf
ISACL: Internal State Analyzer for Copyrighted Training Data Leakage.
EMNLP (Findings)
Guangwei Zhang, Qisheng Su, Jiateng Liu, Cheng Qian, Yanzhou Pan, Yanjie Fu, Denghui Zhang
2025 J jnl
ISACL: Internal State Analyzer for Copyrighted Training Data Leakage.
CoRR
Guangwei Zhang, Qisheng Su, Jiateng Liu, Cheng Qian, Yanzhou Pan, Yanjie Fu, Denghui Zhang
2025 J jnl
Internal Activation as the Polar Star for Steering Unsafe LLM Behavior.
CoRR
Peixuan Han, Cheng Qian, Xiusi Chen, Yuji Zhang, Denghui Zhang, Heng Ji
2025 J jnl
Large Language Models as Virtual Survey Respondents: Evaluating Sociodemographic Response Generation.
CoRR
Jianpeng Zhao, Chenyu Yuan, Weiming Luo, Haoling Xie, Guangwei Zhang, Steven Jige Quan, Zixuan Yuan, Pengyang Wang, Denghui Zhang
2025 Misc conf
MLSDET: Multi-LLM Statistical Deep Ensemble for Chinese AI-Generated Text Detection.
ICASSP
DianHui Mao, Denghui Zhang, Ao Zhang, Zhihua Zhao
2025 J jnl
Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity.
CoRR
Yide Ran, Wentao Guo, Jingwei Sun, Yanzhou Pan, Xiaodong Yu, Hao Wang, Jianwen Xie, Yiran Chen, Denghui Zhang, Zhaozhuo Xu
2025 — conf
Position: Iterative Online-Offline Joint Optimization is Needed to Manage Complex LLM Copyright Risks.
ICML (Position Papers)
Yanzhou Pan, Jiayi Chen, Jiamin Chen, Zhaozhuo Xu, Denghui Zhang
2025 — conf
Profiling LLM's Copyright Infringement Risks under Adversarial Persuasive Prompting.
EMNLP (Findings)
Jikai Long, Ming Liu, Xiusi Chen, Jialiang Xu, Shenglan Li, Zhaozhuo Xu, Denghui Zhang
2025 J jnl
RM-R1: Reward Modeling as Reasoning.
CoRR
Xiusi Chen, Gaotang Li, Ziqi Wang, Bowen Jin, Cheng Qian, Yu Wang, Hongru Wang, Yu Zhang, Denghui Zhang, Tong Zhang, Hanghang Tong, Heng Ji
2025 A* conf
Rescorla-Wagner Steering of LLMs for Undesired Behaviors over Disproportionate Inappropriate Context.
EMNLP
Rushi Wang, Jiateng Liu, Cheng Qian, Yifan Shen, Yanzhou Pan, Zhaozhuo Xu, Ahmed Abbasi, Heng Ji, Denghui Zhang
2025 — conf
SafeSwitch: Steering Unsafe LLM Behavior via Internal Activation Signals.
EMNLP (Findings)
Peixuan Han, Cheng Qian, Xiusi Chen, Yuji Zhang, Heng Ji, Denghui Zhang
2025 J jnl
Sensitivity Meets Sparsity: The Impact of Extremely Sparse Parameter Patterns on Theory-of-Mind of Large Language Models.
CoRR
Yuheng Wu, Wentao Guo, Zirui Liu, Heng Ji, Zhaozhuo Xu, Denghui Zhang
2024 — conf
AlphaVC: A Reinforcement Learning-based Venture Capital Investment Strategy.
HICSS
Hao Zhong, Zixuan Yuan, Denghui Zhang, Yi Jiang, Shengming Zhang, Hui Xiong
2024 A* conf
Do LLMs Know to Respect Copyright Notice?
EMNLP
Jialiang Xu, Shenglan Li, Zhaozhuo Xu, Denghui Zhang
2024 J jnl
Do LLMs Know to Respect Copyright Notice?
CoRR
Jialiang Xu, Shenglan Li, Zhaozhuo Xu, Denghui Zhang
2024 J jnl
EscapeBench: Pushing Language Models to Think Outside the Box.
CoRR
Cheng Qian, Peixuan Han, Qinyu Luo, Bingxiang He, Xiusi Chen, Yuji Zhang, Hongyi Du, Jiarui Yao, Xiaocheng Yang, Denghui Zhang, Yunzhu Li, Heng Ji
2024 A* conf
FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making.
NeurIPS
Yangyang Yu, Zhiyuan Yao, Haohang Li, Zhiyang Deng, Yuechen Jiang, Yupeng Cao, Zhi Chen, Jordan W. Suchow, Zhenyu Cui, Rong Liu, Zhaozhuo Xu, Denghui Zhang, Koduvayur Subbalakshmi, Guojun Xiong, Yueru He, Jimin Huang, Dong Li, Qianqian Xie
2024 J jnl
FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making.
CoRR
Yangyang Yu, Zhiyuan Yao, Haohang Li, Zhiyang Deng, Yupeng Cao, Zhi Chen, Jordan W. Suchow, Rong Liu, Zhenyu Cui, Denghui Zhang, Koduvayur Subbalakshmi, Guojun Xiong, Yueru He, Jimin Huang, Dong Li, Qianqian Xie
2024 — conf
FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design.
AAAI Spring Symposia
Yangyang Yu, Haohang Li, Zhi Chen, Yuechen Jiang, Yang Li, Denghui Zhang, Rong Liu, Jordan W. Suchow, Khaldoun Khashanah
2024 J jnl
LEVER: Online Adaptive Sequence Learning Framework for High-Frequency Trading.
IEEE Trans. Knowl. Data Eng.
Zixuan Yuan, Junming Liu, Haoyi Zhou, Denghui Zhang, Hao Liu, Nengjun Zhu, Hui Xiong
2024 A* conf
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction.
IJCAI
Yicheng Zhou, Pengfei Wang, Hao Dong, Denghui Zhang, Dingqi Yang, Yanjie Fu, Pengyang Wang
2024 J jnl
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction.
CoRR
Yicheng Zhou, Pengfei Wang, Hao Dong, Denghui Zhang, Dingqi Yang, Yanjie Fu, Pengyang Wang
2024 J jnl
Measuring Copyright Risks of Large Language Model via Partial Information Probing.
CoRR
Weijie Zhao, Huajie Shao, Zhaozhuo Xu, Suzhen Duan, Denghui Zhang
2024 — conf
Motion Control of Single-Degree-of-Freedom Magnetic Suspension System Based on Both Position and Flux Feedback.
ICIRA (8)
Pengfei Gao, Xiaochao Sheng, Denghui Zhang, Chenhao Wang
2024 A* conf
Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification.
AAAI
Zixuan Yuan, Hao Liu, Haoyi Zhou, Denghui Zhang, Xiao Zhang, Hao Wang, Hui Xiong
2024 — conf
Structure Design and Control of Magnetic Levitated Needle Driving System.
ICIRA (7)
Denghui Zhang, Xiaochao Sheng, Pengfei Gao, Chenhao Wang, Yingnan Shi
2023 J jnl
A Comprehensive Taxonomy for Prediction Models in Software Engineering.
Inf.
Xinli Yang, Jingjing Liu, Denghui Zhang
2023 — conf
Acqui-hiring or Acqui-quitting: Post-M&A Turnover Prediction via a Dual-fit Model.
PACIS
Denghui Zhang, Hao Zhong, Jingyuan Yang
2023 J jnl
FinMe: A Performance-Enhanced Large Language Model Trading Agent with Layered Memory and Character Design.
CoRR
Yangyang Yu, Haohang Li, Zhi Chen, Yuechen Jiang, Yang Li, Denghui Zhang, Rong Liu, Jordan W. Suchow, Khaldoun Khashanah
2023 J jnl
Fine-Tuning Swin Transformer and Multiple Weights Optimality-Seeking for Facial Expression Recognition.
IEEE Access
Hongqi Feng, Weikai Huang, Denghui Zhang, Bangze Zhang
2023 C conf
Graph Learning of Multifaceted Motivations for Online Engagement Prediction in Counter-party Social Networks.
ICIS
Manting Hu, Qingyuan Lin, Denghui Zhang, Angela Lu, Junming Liu, Hui Xiong
2023 A* conf
Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning.
AAAI
Dongjie Wang, Lingfei Wu, Denghui Zhang, Jingbo Zhou, Leilei Sun, Yanjie Fu
2023 J jnl
Multi-Faceted Knowledge-Driven Pre-Training for Product Representation Learning.
IEEE Trans. Knowl. Data Eng.
Denghui Zhang, Yanchi Liu, Zixuan Yuan, Yanjie Fu, Haifeng Chen, Hui Xiong
2023 J jnl
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training.
IEEE Trans. Big Data
Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Denghui Zhang, Yi Du, Yuanchun Zhou
2022 J jnl
Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations.
CoRR
Dongkun Wang, Wei Fan, Pengyang Wang, Pengfei Wang, Dongjie Wang, Denghui Zhang, Yanjie Fu
2022 J jnl
Graph Soft-Contrastive Learning via Neighborhood Ranking.
CoRR
Zhiyuan Ning, Pengfei Wang, Pengyang Wang, Ziyue Qiao, Wei Fan, Denghui Zhang, Yi Du, Yuanchun Zhou
2022 J jnl
Human-instructed Deep Hierarchical Generative Learning for Automated Urban Planning.
CoRR
Dongjie Wang, Lingfei Wu, Denghui Zhang, Jingbo Zhou, Leilei Sun, Yanjie Fu
2022 A* conf
Learning to Walk with Dual Agents for Knowledge Graph Reasoning.
AAAI
Denghui Zhang, Zixuan Yuan, Hao Liu, Xiaodong Lin, Hui Xiong
2022 J jnl
Link Prediction in Knowledge Graphs: A Hierarchy-Constrained Approach.
IEEE Trans. Big Data
Manling Li, Yuanzhuo Wang, Denghui Zhang, Yantao Jia, Xueqi Cheng
2022 A* conf
Towards Learning Disentangled Representations for Time Series.
KDD
Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu
2021 A* conf
Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment.
KDD
Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen
2021 J jnl
Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment.
CoRR
Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen
2021 J jnl
Learning Disentangled Representations for Time Series.
CoRR
Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu
2021 J jnl
Learning to Walk with Dual Agents for Knowledge Graph Reasoning.
CoRR
Denghui Zhang, Zixuan Yuan, Hao Liu, Xiaodong Lin, Hui Xiong
2021 A* conf
Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling.
AAAI
Zixuan Yuan, Hao Liu, Renjun Hu, Denghui Zhang, Hui Xiong
2021 J jnl
Temperature Measurement and Control Application in a Laser Plastic Surgery Real Temperature Detection System.
Sci. Program.
Hong Wei, Fang Jiang, Fang Shao, Denghui Zhang, Fang Gu, Ying Yang, Qiuxia Chen, Zheng Ai
2020 J jnl
E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce.
CoRR
Denghui Zhang, Zixuan Yuan, Yanchi Liu, Zuohui Fu, Fuzhen Zhuang, Pengyang Wang, Haifeng Chen, Hui Xiong
2020 J jnl
Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning.
CoRR
Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong
2020 A* conf
Spatio-Temporal Dual Graph Attention Network for Query-POI Matching.
SIGIR
Zixuan Yuan, Hao Liu, Yanchi Liu, Denghui Zhang, Fei Yi, Nengjun Zhu, Hui Xiong
2020 A* conf
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ICDM
Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong
2020 J jnl
T
CoRR
Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong
2019 — conf
A Lexical Conversion as Preprocessing Method for Text Intention Classification.
AIAM (IEEE)
Denghui Zhang, Zhenyu Yang, Xinyun Liu
2019 J jnl
A modeling and optimization method for heterogeneous objects based on complex networks theory.
Clust. Comput.
Denghui Zhang, Yiqi Zhou, Yang Guo
2019 J jnl
A novel complex network-based modeling method for heterogeneous product design.
Clust. Comput.
Denghui Zhang, Zhengxu Zhao, Yiqi Zhou, Yang Guo
2019 A conf
Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning.
CIKM
Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong
2019 C conf
SGXPy: Protecting Integrity of Python Applications with Intel SGX.
APSEC
Denghui Zhang, Guisai Wang, Wei Xu, Kevin Gao
2018 A* conf
Path-Based Attention Neural Model for Fine-Grained Entity Typing.
AAAI
Denghui Zhang, Manling Li, Pengshan Cai, Yantao Jia, Yuanzhuo Wang
2017 J jnl
Efficient Parallel Translating Embedding For Knowledge Graphs.
CoRR
Denghui Zhang, Manling Li, Yantao Jia, Yuanzhuo Wang
2017 B conf
Efficient parallel translating embedding for knowledge graphs.
WI
Denghui Zhang, Manling Li, Yantao Jia, Yuanzhuo Wang, Xueqi Cheng
2017 J jnl
Path-Based Attention Neural Model for Fine-Grained Entity Typing.
CoRR
Denghui Zhang, Pengshan Cai, Yantao Jia, Manling Li, Yuanzhuo Wang
2011 — conf
Conjugate Gradient Method Neural Network for Medium Resolution Remote Sensing Image Classification.
ICAIC (2)
Denghui Zhang, Le Yu
2006 C conf
Implementation of a Data Node in China's Spatial Information Grid Based on NWGISS.
IGARSS
Dengrong Zhang, Le Yu, Denghui Zhang, Liping Di