Peer-reviewed conference and journal papers
- Do LLMs Know to Respect Copyright Notice? [PDF, Github]
Jialiang Xu, Shenglan Li, Zhaozhuo Xu, Denghui Zhang
EMNLP’24: The 2024 Conference on Empirical Methods in Natural Language Processing (Main). - FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making [PDF, Github]
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
NeurIPS’24: The 2024 Annual Conference on Neural Information Processing Systems. (Main). - FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design [PDF, Github] [FT]
Yangyang Yu, Haohang Li, Zhi Chen, Yuechen Jiang, Yang Li, Denghui Zhang, Rong Liu, Jordan W. Suchow, Khaldoun Khashanah
ICLR’24: International Conference on Learning Representations - Workshop on LLM Agents. - Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification
Zixuan Yuan, Hao Liu, Haoyi Zhou, Denghui Zhang, Xiao Zhang, Hao Wang, Hui Xiong
AAAI’24: Proceedings of the 38th AAAI Conference on Artificial Intelligence.
- Graph Learning of Multifaceted Motivations for Online Political Engagement Prediction in Counter-party Social Networks
Manting Hu, Qingyuan Lin, Denghui Zhang, Angela Lu, Junming Liu, Hui Xiong
ICIS’23: 44th International Conference on Information Systems (Best Student Paper Award).
- LEVER: Online Adaptive Sequence Learning Framework for High-Frequency Trading [FT]
Zixuan Yuan, Junming Liu, Haoyi Zhou, Denghui Zhang, Hao Liu, Nengjun Zhu, Hui Xiong
IEEE TKDE: IEEE Transactions on Knowledge and Data Engineering.
- Multi-Faceted Knowledge-Driven Pre-training for Product Representation Learning [EM] [TM]
Denghui Zhang, Yanchi Liu, Zixuan Yuan, Yanjie Fu, Haifeng Chen, Hui Xiong
IEEE TKDE: IEEE Transactions on Knowledge and Data Engineering.
- AlphaVC: A Reinforcement Learning-based Venture Capital Investment Strategy [FT] [RL]
Zixuan Yuan*, Denghui Zhang*, Hao Zhong, Shengming Zhang, Xiong Hui
INFORMS DS: INFORMS Workshop on Data Science 2022. (In preparation for Management Science.)
- Acqui-hiring or Acqui-quitting: Data-driven Post-M&A Turnover Prediction via a Dual-fit GNN Model [PDF] [CM] [GL]
Denghui Zhang, Hao Zhong, Jingyuan Yang
CIST’22: INFORMS Conference On Information Systems And Technology, 2022. (Submitted to Information Systems Research.)
- Towards Learning Disentangled Representations for Time Series [PDF]
Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu
KDD’22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
- Learning to Walk with Dual Agents Reinforcemen Learning for Knowledge Graph Reasoning [PDF, code] [RL]
Denghui Zhang*, Zixuan Yuan*, Hao Liu, Xiaodong Lin, Hui Xiong
AAAI’22: Proceedings of the 36th AAAI Conference on Artificial Intelligence. (15% acceptance rate)
- Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment [PDF] [TM] [EM]
Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen
KDD’21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. (15.4% acceptance rate)
- Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling [FT] [PDF, code]
Zixuan Yuan, Hao Liu, Renjun Hu, Denghui Zhang, Hui Xiong
AAAI’21: Proceedings of the 35th AAAI Conference on Artificial Intelligence.
- T$^2$-Net: A Semi-supervised Deep Model for Turbulence Forecasting [PDF] [SA]
Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong
ICDM’20: 2020 IEEE International Conference on Data Mining.
- Spatio-Temporal Dual Graph Attention Network for Query-POI Matching [PDF] [SA]
Zixuan Yuan, Hao Liu, Yanchi Liu, Denghui Zhang, Fei Yi, Nengju Zhu, Hui Xiong
SIGIR’20: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, Pages 629–638
- Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning [PDF] [CM] [GL]
Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong
CIKM’19: Proceedings of the 28th ACM International Conference on Information and Knowledge Management, pp.2763-2771
- Link Prediction in Knowledge Graphs: A Hierarchy-Constrained Approach [PDF]
Manling Li, Yuanzhuo Wang, Denghui Zhang, Yantao Jia, Xueqi Cheng
IEEE Transactions on Big Data, pp.1-14
- Path-Based Attention Neural Model for Fine-Grained Entity Typing [PDF] [TM]
Denghui Zhang, Manling Li, Pengshan Cai, Yantao Jia, Yuanzhuo Wang, Xueqi Cheng
AAAI 2018: Proceedings of the 32nd AAAI Conference on Artificial Intelligence, pp.8179-8180 (abstract paper)
- Efficient Parallel Translating Embedding For Knowledge Graphs [PDF, code]
Denghui Zhang, Manling Li, Yantao Jia, Yuanzhuo Wang, Xueqi Cheng
WI 2017: Proceedings of IEEE/WIC/ACM International Conference on Web Intelligence, pp.460-468
Working papers
- Acqui-hiring or Acqui-quitting: Post-M&A Turnover Prediction via a Dual-fit GNN Model
- AlphaVC: A Reinforcement Learning-based Venture Capital Investment Strategy
Patents
