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ORCIDDenghui Zhang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Other persons with the same name
- Denghui Zhang 0001
![[0009-0007-4153-6724]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0009-0007-4153-6724")
— Guangzhou University, Cyberspace Institute of Advanced Technology, Guangzhou, China
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2020 – today
- 2025
[j10]Yangyang Yu, Haohang Li, Zhi Chen, Yuechen Jiang, Yang Li, Jordan W. Suchow, Denghui Zhang, Khaldoun Khashanah:
FinMem: A Performance-Enhanced LLM Trading Agent With Layered Memory and Character Design. IEEE Trans. Big Data 11(6): 3443-3459 (2025)- [c28]Cheng Qian, Peixuan Han, Qinyu Luo, Bingxiang He, Xiusi Chen, Yuji Zhang, Hongyi Du, Jiarui Yao, Xiaocheng Yang, Denghui Zhang, Yunzhu Li, Heng Ji:
EscapeBench: Towards Advancing Creative Intelligence of Language Model Agents. ACL (1) 2025: 798-820 - [c27]Chenkai Sun, Denghui Zhang, ChengXiang Zhai, Heng Ji:
Beyond Reactive Safety: Risk-Aware LLM Alignment via Long-Horizon Simulation. ACL (Findings) 2025: 6422-6434 - [c26]Dianhui Mao, Denghui Zhang, Ao Zhang, Zhihua Zhao:
MLSDET: Multi-LLM Statistical Deep Ensemble for Chinese AI-Generated Text Detection. ICASSP 2025: 1-5 - [c25]Yanzhou Pan, Huawei Lin, Yide Ran, Jiamin Chen, Xiaodong Yu, Weijie Zhao, Denghui Zhang, Zhaozhuo Xu:
ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Parity LLM Data Valuation. NAACL (Long Papers) 2025: 11756-11771 - [i31]Peixuan Han, Cheng Qian, Xiusi Chen, Yuji Zhang, Denghui Zhang, Heng Ji:
Internal Activation as the Polar Star for Steering Unsafe LLM Behavior. CoRR abs/2502.01042 (2025) - [i30]Wangyang Ying, Cong Wei, Nanxu Gong, Xinyuan Wang, Haoyue Bai, Arun Vignesh Malarkkan, Sixun Dong, Dongjie Wang, Denghui Zhang, Yanjie Fu:
A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective. CoRR abs/2502.08828 (2025) - [i29]Yanzhou Pan, Huawei Lin, Yide Ran, Jiamin Chen, Xiaodong Yu, Weijie Zhao, Denghui Zhang, Zhaozhuo Xu:
ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Parity LLM Data Valuation. CoRR abs/2503.01052 (2025) - [i28]Yuheng Wu, Wentao Guo, Zirui Liu, Heng Ji, Zhaozhuo Xu, Denghui Zhang:
Sensitivity Meets Sparsity: The Impact of Extremely Sparse Parameter Patterns on Theory-of-Mind of Large Language Models. CoRR abs/2504.04238 (2025) - [i27]Xiusi Chen, Gaotang Li, Ziqi Wang, Bowen Jin, Cheng Qian, Yu Wang, Hongru Wang, Yu Zhang, Denghui Zhang, Tong Zhang, Hanghang Tong, Heng Ji:
RM-R1: Reward Modeling as Reasoning. CoRR abs/2505.02387 (2025) - [i26]Yuheng Wu, Jianwen Xie, Denghui Zhang, Zhaozhuo Xu:
DEL-ToM: Inference-Time Scaling for Theory-of-Mind Reasoning via Dynamic Epistemic Logic. CoRR abs/2505.17348 (2025) - [i25]Yide Ran, Wentao Guo, Jingwei Sun, Yanzhou Pan, Xiaodong Yu, Hao Wang, Jianwen Xie, Yiran Chen, Denghui Zhang, Zhaozhuo Xu:
Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity. CoRR abs/2506.03337 (2025) - [i24]Yuji Zhang, Qingyun Wang, Cheng Qian, Jiateng Liu, Chenkai Sun, Denghui Zhang, Tarek F. Abdelzaher, Chengxiang Zhai, Preslav Nakov, Heng Ji:
Atomic Reasoning for Scientific Table Claim Verification. CoRR abs/2506.06972 (2025) - [i23]Rushi Wang, Jiateng Liu, Weijie Zhao, Shenglan Li, Denghui Zhang:
Automating Financial Statement Audits with Large Language Models. CoRR abs/2506.17282 (2025) - [i22]Chenkai Sun, Denghui Zhang, ChengXiang Zhai, Heng Ji:
Beyond Reactive Safety: Risk-Aware LLM Alignment via Long-Horizon Simulation. CoRR abs/2506.20949 (2025) - [i21]Guangwei Zhang, Qisheng Su, Jiateng Liu, Cheng Qian, Yanzhou Pan, Yanjie Fu, Denghui Zhang:
ISACL: Internal State Analyzer for Copyrighted Training Data Leakage. CoRR abs/2508.17767 (2025) - [i20]Rushi Wang, Jiateng Liu, Cheng Qian, Yifan Shen, Yanzhou Pan, Zhaozhuo Xu, Ahmed Abbasi, Heng Ji, Denghui Zhang:
Context Engineering for Trustworthiness: Rescorla Wagner Steering Under Mixed and Inappropriate Contexts. CoRR abs/2509.04500 (2025) - [i19]Jianpeng Zhao, Chenyu Yuan, Weiming Luo, Haoling Xie, Guangwei Zhang, Steven Jige Quan, Zixuan Yuan, Pengyang Wang, Denghui Zhang:
Large Language Models as Virtual Survey Respondents: Evaluating Sociodemographic Response Generation. CoRR abs/2509.06337 (2025) - [i18]Yixin Liu, Yonghui Wu, Denghui Zhang, Lichao Sun:
Agentic AutoSurvey: Let LLMs Survey LLMs. CoRR abs/2509.18661 (2025) - 2024
- [j9]Zixuan Yuan, Junming Liu, Haoyi Zhou, Denghui Zhang, Hao Liu, Nengjun Zhu, Hui Xiong:
LEVER: Online Adaptive Sequence Learning Framework for High-Frequency Trading. IEEE Trans. Knowl. Data Eng. 36(11): 6547-6559 (2024) - [c24]Zixuan Yuan, Hao Liu, Haoyi Zhou, Denghui Zhang, Xiao Zhang, Hao Wang, Hui Xiong:
Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification. AAAI 2024: 16623-16632 - [c23]Yangyang Yu, Haohang Li, Zhi Chen, Yuechen Jiang, Yang Li, Denghui Zhang, Rong Liu, Jordan W. Suchow, Khaldoun Khashanah:
FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design. AAAI Spring Symposia 2024: 595-597 - [c22]Jialiang Xu, Shenglan Li, Zhaozhuo Xu, Denghui Zhang:
Do LLMs Know to Respect Copyright Notice? EMNLP 2024: 20604-20619 - [c21]Hao Zhong, Zixuan Yuan, Denghui Zhang, Yi Jiang, Shengming Zhang, Hui Xiong:
AlphaVC: A Reinforcement Learning-based Venture Capital Investment Strategy. HICSS 2024: 4333-4342 - [c20]Denghui Zhang, Xiaochao Sheng, Pengfei Gao, Chenhao Wang, Yingnan Shi:
Structure Design and Control of Magnetic Levitated Needle Driving System. ICIRA (7) 2024: 57-71 - [c19]Pengfei Gao, Xiaochao Sheng, Denghui Zhang, Chenhao Wang:
Motion Control of Single-Degree-of-Freedom Magnetic Suspension System Based on Both Position and Flux Feedback. ICIRA (8) 2024: 90-104 - [c18]Yicheng Zhou, Pengfei Wang, Hao Dong, Denghui Zhang, Dingqi Yang, Yanjie Fu, Pengyang Wang:
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction. IJCAI 2024: 2607-2615 - [c17]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:
FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making. NeurIPS 2024 - [i17]Yicheng Zhou, Pengfei Wang, Hao Dong, Denghui Zhang, Dingqi Yang, Yanjie Fu, Pengyang Wang:
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction. CoRR abs/2406.16992 (2024) - [i16]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:
FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making. CoRR abs/2407.06567 (2024) - [i15]Weijie Zhao, Huajie Shao, Zhaozhuo Xu, Suzhen Duan, Denghui Zhang:
Measuring Copyright Risks of Large Language Model via Partial Information Probing. CoRR abs/2409.13831 (2024) - [i14]Jialiang Xu, Shenglan Li, Zhaozhuo Xu, Denghui Zhang:
Do LLMs Know to Respect Copyright Notice? CoRR abs/2411.01136 (2024) - [i13]Cheng Qian, Peixuan Han, Qinyu Luo, Bingxiang He, Xiusi Chen, Yuji Zhang, Hongyi Du, Jiarui Yao, Xiaocheng Yang, Denghui Zhang, Yunzhu Li, Heng Ji:
EscapeBench: Pushing Language Models to Think Outside the Box. CoRR abs/2412.13549 (2024) - 2023
- [j8]Hongqi Feng, Weikai Huang, Denghui Zhang, Bangze Zhang:
Fine-Tuning Swin Transformer and Multiple Weights Optimality-Seeking for Facial Expression Recognition. IEEE Access 11: 9995-10003 (2023) - [j7]Xinli Yang, Jingjing Liu, Denghui Zhang:
A Comprehensive Taxonomy for Prediction Models in Software Engineering. Inf. 14(2): 111 (2023) - [j6]Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Denghui Zhang, Yi Du, Yuanchun Zhou:
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training. IEEE Trans. Big Data 9(1): 186-199 (2023) - [j5]Denghui Zhang, Yanchi Liu, Zixuan Yuan, Yanjie Fu, Haifeng Chen, Hui Xiong:
Multi-Faceted Knowledge-Driven Pre-Training for Product Representation Learning. IEEE Trans. Knowl. Data Eng. 35(7): 7239-7250 (2023) - [c16]Dongjie Wang, Lingfei Wu, Denghui Zhang, Jingbo Zhou, Leilei Sun, Yanjie Fu:
Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning. AAAI 2023: 4660-4667 - [c15]Manting Hu, Qingyuan Lin, Denghui Zhang, Angela Lu, Junming Liu, Hui Xiong:
Graph Learning of Multifaceted Motivations for Online Engagement Prediction in Counter-party Social Networks. ICIS 2023 - [c14]Denghui Zhang, Hao Zhong, Jingyuan Yang:
Acqui-hiring or Acqui-quitting: Post-M&A Turnover Prediction via a Dual-fit Model. PACIS 2023: 98 - [i12]Yangyang Yu, Haohang Li, Zhi Chen, Yuechen Jiang, Yang Li, Denghui Zhang, Rong Liu, Jordan W. Suchow, Khaldoun Khashanah:
FinMe: A Performance-Enhanced Large Language Model Trading Agent with Layered Memory and Character Design. CoRR abs/2311.13743 (2023) - 2022
- [j4]Manling Li, Yuanzhuo Wang, Denghui Zhang, Yantao Jia, Xueqi Cheng:
Link Prediction in Knowledge Graphs: A Hierarchy-Constrained Approach. IEEE Trans. Big Data 8(3): 630-643 (2022) - [c13]Denghui Zhang, Zixuan Yuan, Hao Liu, Xiaodong Lin, Hui Xiong:
Learning to Walk with Dual Agents for Knowledge Graph Reasoning. AAAI 2022: 5932-5941 - [c12]Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu:
Towards Learning Disentangled Representations for Time Series. KDD 2022: 3270-3278 - [i11]Zhiyuan Ning, Pengfei Wang, Pengyang Wang, Ziyue Qiao, Wei Fan, Denghui Zhang, Yi Du, Yuanchun Zhou:
Graph Soft-Contrastive Learning via Neighborhood Ranking. CoRR abs/2209.13964 (2022) - [i10]Dongjie Wang, Lingfei Wu, Denghui Zhang, Jingbo Zhou, Leilei Sun, Yanjie Fu:
Human-instructed Deep Hierarchical Generative Learning for Automated Urban Planning. CoRR abs/2212.00904 (2022) - [i9]Dongkun Wang, Wei Fan, Pengyang Wang, Pengfei Wang, Dongjie Wang, Denghui Zhang, Yanjie Fu:
Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations. CoRR abs/2212.12932 (2022) - 2021
- [j3]Hong Wei, Fang Jiang, Fang Shao, Denghui Zhang, Fang Gu, Ying Yang, Qiuxia Chen, Zheng Ai:
Temperature Measurement and Control Application in a Laser Plastic Surgery Real Temperature Detection System. Sci. Program. 2021: 8382482:1-8382482:5 (2021) - [c11]Zixuan Yuan, Hao Liu, Renjun Hu, Denghui Zhang, Hui Xiong:
Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling. AAAI 2021: 4644-4652 - [c10]Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen:
Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment. KDD 2021: 2145-2153 - [i8]Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu:
Learning Disentangled Representations for Time Series. CoRR abs/2105.08179 (2021) - [i7]Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen:
Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment. CoRR abs/2112.03024 (2021) - [i6]Denghui Zhang, Zixuan Yuan, Hao Liu, Xiaodong Lin, Hui Xiong:
Learning to Walk with Dual Agents for Knowledge Graph Reasoning. CoRR abs/2112.12876 (2021) - 2020
- [c9]Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong:
T2-Net: A Semi-supervised Deep Model for Turbulence Forecasting. ICDM 2020: 1388-1393 - [c8]Zixuan Yuan, Hao Liu, Yanchi Liu, Denghui Zhang, Fei Yi, Nengjun Zhu, Hui Xiong:
Spatio-Temporal Dual Graph Attention Network for Query-POI Matching. SIGIR 2020: 629-638 - [i5]Denghui Zhang, Zixuan Yuan, Yanchi Liu, Zuohui Fu, Fuzhen Zhuang, Pengyang Wang, Haifeng Chen, Hui Xiong:
E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce. CoRR abs/2009.02835 (2020) - [i4]Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong:
Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning. CoRR abs/2009.07429 (2020) - [i3]Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong:
T2-Net: A Semi-supervised Deep Model for Turbulence Forecasting. CoRR abs/2010.13903 (2020)
2010 – 2019
- 2019
- [j2]Denghui Zhang, Yiqi Zhou, Yang Guo:
A modeling and optimization method for heterogeneous objects based on complex networks theory. Clust. Comput. 22(Supplement): 2645-2654 (2019) - [j1]Denghui Zhang, Zhengxu Zhao, Yiqi Zhou, Yang Guo:
A novel complex network-based modeling method for heterogeneous product design. Clust. Comput. 22(Supplement): 7861-7872 (2019) - [c7]Denghui Zhang, Zhenyu Yang, Xinyun Liu:
A Lexical Conversion as Preprocessing Method for Text Intention Classification. AIAM (IEEE) 2019: 493-496 - [c6]Denghui Zhang, Guisai Wang, Wei Xu, Kevin Gao:
SGXPy: Protecting Integrity of Python Applications with Intel SGX. APSEC 2019: 418-425 - [c5]Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong:
Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning. CIKM 2019: 2763-2771 - 2018
- [c4]Denghui Zhang, Manling Li, Pengshan Cai, Yantao Jia, Yuanzhuo Wang:
Path-Based Attention Neural Model for Fine-Grained Entity Typing. AAAI 2018: 8179-8180 - 2017
- [c3]Denghui Zhang, Manling Li, Yantao Jia, Yuanzhuo Wang, Xueqi Cheng:
Efficient parallel translating embedding for knowledge graphs. WI 2017: 460-468 - [i2]Denghui Zhang, Manling Li, Yantao Jia, Yuanzhuo Wang:
Efficient Parallel Translating Embedding For Knowledge Graphs. CoRR abs/1703.10316 (2017) - [i1]Denghui Zhang, Pengshan Cai, Yantao Jia, Manling Li, Yuanzhuo Wang:
Path-Based Attention Neural Model for Fine-Grained Entity Typing. CoRR abs/1710.10585 (2017) - 2011
- [c2]Denghui Zhang, Le Yu:
Conjugate Gradient Method Neural Network for Medium Resolution Remote Sensing Image Classification. ICAIC (2) 2011: 264-270
2000 – 2009
- 2006
- [c1]Dengrong Zhang, Le Yu, Denghui Zhang, Liping Di:
Implementation of a Data Node in China's Spatial Information Grid Based on NWGISS. IGARSS 2006: 321-324
Coauthor Index
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