Overcoming the Memory Bottleneck in Distributed Training of Latent Variable Models of Text. - Yi Yang 042; Alexander Yates; Doug Downey (HLT-NAACL, 2013)

WebSAIL Wikifier: English Entity Linking at TAC 2013. - Thanapon Noraset; Chandra Bhagavatula; Yi Yang 042; Doug Downey (TAC, 2013)

Spam ain't as diverse as it seems: throttling OSN spam with templates underneath. - Hongyu Gao; Yi Yang 042; Kai Bu; Yan Chen 004; Doug Downey; Kathy Lee; Alok N. Choudhary (ACSAC, 2014)

A Systematic Framework for Sentiment Identification by Modeling User Social Effects. - Kunpeng Zhang 001; Yi Yang 042; Aaron Sun; Hengchang Liu (WI-IAT (1), 2014)

Learning Representations for Weakly Supervised Natural Language Processing Tasks. - Fei Huang 008; Arun Ahuja; Doug Downey; Yi Yang 042; Yuhong Guo; Alexander Yates (Comput. Linguistics, 2014)

Incorporating conditional random fields and active learning to improve sentiment identification. - Kunpeng Zhang 001; Yusheng Xie; Yi Yang 042; Aaron Sun; Hengchang Liu; Alok N. Choudhary (Neural Networks, 2014)

Efficient Methods for Inferring Large Sparse Topic Hierarchies. - Doug Downey; Chandra Bhagavatula; Yi Yang 042 (ACL (1), 2015)

Efficient Methods for Incorporating Knowledge into Topic Models. - Yi Yang 042; Doug Downey; Jordan L. Boyd-Graber (EMNLP, 2015)

User-directed Non-Disruptive Topic Model Update for Effective Exploration of Dynamic Content. - Yi Yang 042; Shimei Pan; Yangqiu Song; Jie Lu 002; Mercan Topkara (IUI, 2015)

Improving Topic Model Stability for Effective Document Exploration. - Yi Yang 042; Shimei Pan; Yangqiu Song; Jie Lu 002; Mercan Topkara (IJCAI, 2016)

The Stability and Usability of Statistical Topic Models. - Yi Yang 042; Shimei Pan; Jie Lu 002; Mercan Topkara; Yangqiu Song (ACM Trans. Interact. Intell. Syst., 2016)

Beating the Artificial Chaos: Fighting OSN Spam Using Its Own Templates. - Tiantian Zhu; Hongyu Gao; Yi Yang 042; Kai Bu; Yan Chen 004; Doug Downey; Kathy Lee; Alok N. Choudhary (IEEE/ACM Trans. Netw., 2016)

vec2Link: Unifying Heterogeneous Data for Social Link Prediction. - Fan Zhou 002; Bangying Wu; Yi Yang 042; Goce Trajcevski; Kunpeng Zhang 001; Ting Zhong (CIKM, 2018)

What You Say and How You Say It Matters: Predicting Stock Volatility Using Verbal and Vocal Cues. - Yu Qin; Yi Yang 042 (ACL (1), 2019)

Interpreting Twitter User Geolocation. - Ting Zhong; Tianliang Wang; Fan Zhou 002; Goce Trajcevski; Kunpeng Zhang 001; Yi Yang 042 (ACL, 2020)

Interpretable Operational Risk Classification with Semi-Supervised Variational Autoencoder. - Fan Zhou 002; Shengming Zhang; Yi Yang 042 (ACL, 2020)

Neural Topic Model with Attention for Supervised Learning. - Xinyi Wang 003; Yi Yang 042 (AISTATS, 2020)

Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. - Linyi Yang; Eoin M. Kenny; Tin Lok James Ng; Yi Yang 042; Barry Smyth; Ruihai Dong (COLING, 2020)

FinBERT: A Pretrained Language Model for Financial Communications. - Yi Yang 042; Mark Christopher Siy Uy; Allen Huang (CoRR, 2020)

Constructing a Psychometric Testbed for Fair Natural Language Processing. - Ahmed Abbasi; David G. Dobolyi; John P. Lalor; Richard G. Netemeyer; Kendall Smith; Yi Yang 042 (EMNLP (1), 2021)

Learning Numeracy: A Simple Yet Effective Number Embedding Approach Using Knowledge Graph. - Hanyu Duan; Yi Yang 042; Kar Yan Tam (EMNLP (Findings), 2021)

Rumor Detection on Social Media with Event Augmentations. - Zhenyu He 008; Ce Li 003; Fan Zhou 002; Yi Yang 042 (SIGIR, 2021)

Unifying Online and Offline Preference for Social Link Prediction. - Fan Zhou 002; Kunpeng Zhang 001; Bangying Wu; Yi Yang 042; Harry Jiannan Wang (INFORMS J. Comput., 2021)

Buy Tesla, Sell Ford: Assessing Implicit Stock Market Preference in Pre-trained Language Models. - Chengyu Chuang; Yi Yang 042 (ACL (2), 2022)

Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts. - Yue Guo 009; Yi Yang 042; Ahmed Abbasi (ACL (1), 2022)

BARLE: Background-Aware Representation Learning for Background Shift Out-of-Distribution Detection. - Hanyu Duan; Yi Yang 042; Ahmed Abbasi; Kar Yan Tam (EMNLP (Findings), 2022)

Benchmarking Intersectional Biases in NLP. - John Lalor; Yi Yang 042; Kendall Smith; Nicole Forsgren; Ahmed Abbasi (NAACL-HLT, 2022)

Analyzing Firm Reports for Volatility Prediction: A Knowledge-Driven Text-Embedding Approach. - Yi Yang 042; Kunpeng Zhang 001; Yangyang Fan (INFORMS J. Comput., 2022)

Extracting Actionable Insights from Text Data: A Stable Topic Model Approach. - Yi Yang 042; Ramanath Subramanyam (MIS Q., 2022)

Exploring Hypergraph of Earnings Call for Risk Prediction (Student Abstract). - Yi He; Wenxin Tai; Fan Zhou 002; Yi Yang 042 (AAAI, 2023)

Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract). - Yuzhou Mao; Liu Yu 001; Yi Yang 042; Fan Zhou 002; Ting Zhong (AAAI, 2023)

Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning. - Fan Zhou 002; Yuzhou Mao; Liu Yu 001; Yi Yang 042; Ting Zhong (ACL (1), 2023)

Predict the Future from the Past? On the Temporal Data Distribution Shift in Financial Sentiment Classifications. - Yue Guo 009; Chenxi Hu; Yi Yang 042 (EMNLP, 2023)

Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing. - Yue Guo 009; Zian Xu; Yi Yang 042 (EMNLP (Findings), 2023)

FinEntity: Entity-level Sentiment Classification for Financial Texts. - Yixuan Tang 001; Yi Yang 042; Allen Huang; Andy Tam; Justin Z. Tang (EMNLP, 2023)

InvestLM: A Large Language Model for Investment using Financial Domain Instruction Tuning. - Yi Yang 042; Yixuan Tang 001; Kar Yan Tam (CoRR, 2023)

FinEntity: Entity-level Sentiment Classification for Financial Texts. - Yixuan Tang 001; Yi Yang 042; Allen H. Huang; Andy Tam; Justin Z. Tang (CoRR, 2023)

Bias A-head? Analyzing Bias in Transformer-Based Language Model Attention Heads. - Yi Yang 042; Hanyu Duan; Ahmed Abbasi; John P. Lalor; Kar Yan Tam (CoRR, 2023)

Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity. - Zhihao Zhu 002; Chenwang Wu; Rui Fan; Yi Yang 042; Defu Lian; Enhong Chen (CoRR, 2023)

Model Stealing Attack against Recommender System. - Zhihao Zhu 002; Rui Fan; Chenwang Wu; Yi Yang 042; Defu Lian; Enhong Chen (CoRR, 2023)

Unlocking the Power of Voice for Financial Risk Prediction: A Theory-Driven Deep Learning Design Approach. - Yi Yang 042; Yu Qin; Yangyang Fan; Zhongju Zhang (MIS Q., 2023)

Deep Cross-Attention Network for Crowdfunding Success Prediction. - Zhe Tang; Yi Yang 042; Wen Li 001; Defu Lian; Lixin Duan (IEEE Trans. Multim., 2023)

sDTM: A Supervised Bayesian Deep Topic Model for Text Analytics. - Yi Yang 042; Kunpeng Zhang 001; Yangyang Fan (Inf. Syst. Res., 2023)

Exploring the Relationship between In-Context Learning and Instruction Tuning. - Hanyu Duan; Yixuan Tang 001; Yi Yang 042; Ahmed Abbasi; Kar Yan Tam (EMNLP (Findings), 2024)

Connecting the Dots: Inferring Patent Phrase Similarity with Retrieved Phrase Graphs. - Zhuoyi Peng; Yi Yang 042 (NAACL-HLT (Findings), 2024)

Self-Explainable Next POI Recommendation. - Kai Yang; Yi Yang 042; Qiang Gao 003; Ting Zhong; Yong Wang 046; Fan Zhou 002 (SIGIR, 2024)

MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries. - Yixuan Tang 001; Yi Yang 042 (CoRR, 2024)

Do LLMs Know about Hallucination? An Empirical Investigation of LLM's Hidden States. - Hanyu Duan; Yi Yang 042; Kar Yan Tam (CoRR, 2024)

Beyond Surface Similarity: Detecting Subtle Semantic Shifts in Financial Narratives. - Jiaxin Liu; Yi Yang 042; Kar Yan Tam (CoRR, 2024)

Understanding Privacy Risks of Embeddings Induced by Large Language Models. - Zhihao Zhu 002; Ninglu Shao; Defu Lian; Chenwang Wu; Zheng Liu 011; Yi Yang 042; Enhong Chen (CoRR, 2024)

Improving Weak-to-Strong Generalization with Reliability-Aware Alignment. - Yue Guo 009; Yi Yang 042 (CoRR, 2024)

EconNLI: Evaluating Large Language Models on Economics Reasoning. - Yue Guo 009; Yi Yang 042 (CoRR, 2024)

Pooling And Attention: What Are Effective Designs For LLM-Based Embedding Models? - Yixuan Tang 001; Yi Yang 042 (CoRR, 2024)

LLM-Measure: Generating Valid, Consistent, and Reproducible Text-Based Measures for Social Science Research. - Yi Yang 042; Hanyu Duan; Jiaxin Liu; Kar Yan Tam (CoRR, 2024)

Do We Need Domain-Specific Embedding Models? An Empirical Investigation. - Yixuan Tang 001; Yi Yang 042 (CoRR, 2024)

TM-OKC: An Unsupervised Topic Model for Text in Online Knowledge Communities. - Dongcheng Zhang 001; Kunpeng Zhang 001; Yi Yang 042; David A. Schweidel (MIS Q., 2024)

Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning Pipelines. - John P. Lalor; Ahmed Abbasi; Kezia Oketch; Yi Yang 042; Nicole Forsgren (ACM Trans. Inf. Syst., 2024)

Federated Meta Embedding Concept Stock Recommendation. - Zhuoyi Peng; Yi Yang 042; Liu Yang 008; Kai Chen 005 (IEEE Trans. Big Data, 2024)

Know the Unknown: An Uncertainty-Sensitive Method for LLM Instruction Tuning. - Jiaqi Li 008; Yixuan Tang 001; Yi Yang 042 (ACL (Findings), 2025)

TDDBench: A Benchmark for Training data detection. - Zhihao Zhu 002; Yi Yang 042; Defu Lian (ICLR, 2025)

Adversarial Mixup Unlearning. - Zhuoyi Peng; Yixuan Tang 001; Yi Yang 042 (ICLR, 2025)

Efficient Multi-Expert Tabular Language Model for Banking. - Yue Guo 009; Wentao Zhang; Xiaojun Zhang; Vincent W. Zheng; Yi Yang 042 (KDD (1), 2025)

Adaptive Sampled Softmax with Inverted Multi-Index: Methods, Theory and Applications. - Jin Chen 008; Jin Zhang 035; Xu huang; Yi Yang 042; Defu Lian; Enhong Chen (CoRR, 2025)

Hierarchical Deep Document Model. - Yi Yang 042; John P. Lalor; Ahmed Abbasi; Daniel Dajun Zeng (IEEE Trans. Knowl. Data Eng., 2025)

FinMTEB: Finance Massive Text Embedding Benchmark. - Yixuan Tang 001; Yi Yang 042 (CoRR, 2025)

Predicting Practically? Domain Generalization for Predictive Analytics in Real-world Environments. - Hanyu Duan; Yi Yang 042; Ahmed Abbasi; Kar Yan Tam (CoRR, 2025)

Bridging the LLM Accessibility Divide? Performance, Fairness, and Cost of Closed versus Open LLMs for Automated Essay Scoring. - Kezia Oketch; John P. Lalor; Yi Yang 042; Ahmed Abbasi (CoRR, 2025)

Ready2Unlearn: A Learning-Time Approach for Preparing Models with Future Unlearning Readiness. - Hanyu Duan; Yi Yang 042; Ahmed Abbasi; Kar Yan Tam (CoRR, 2025)

PersonaTwin: A Multi-Tier Prompt Conditioning Framework for Generating and Evaluating Personalized Digital Twins. - Sihan Chen; John P. Lalor; Yi Yang 042; Ahmed Abbasi (CoRR, 2025)