Improving Neural Fine-Grained Entity Typing With Knowledge Attention. - Ji Xin; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (AAAI, 2018)

Put It Back: Entity Typing with Language Model Enhancement. - Ji Xin; Hao Zhu 006; Xu Han 007; Zhiyuan Liu 001; Maosong Sun 001 (EMNLP, 2018)

What Part of the Neural Network Does This? Understanding LSTMs by Measuring and Dissecting Neurons. - Ji Xin; Jimmy Lin; Yaoliang Yu (EMNLP/IJCNLP (1), 2019)

Exploiting Token and Path-based Representations of Code for Identifying Security-Relevant Commits. - Achyudh Ram; Ji Xin; Meiyappan Nagappan; Yaoliang Yu; Rocío Cabrera Lozoya; Antonino Sabetta; Jimmy Lin (CoRR, 2019)

Showing Your Work Doesn't Always Work. - Raphael Tang; Jaejun Lee; Ji Xin; Xinyu Liu; Yaoliang Yu; Jimmy Lin (ACL, 2020)

DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference. - Ji Xin; Raphael Tang; Jaejun Lee; Yaoliang Yu; Jimmy Lin (ACL, 2020)

Inserting Information Bottleneck for Attribution in Transformers. - Zhiying Jiang; Raphael Tang; Ji Xin; Jimmy Lin (EMNLP (Findings), 2020)

Early Exiting BERT for Efficient Document Ranking. - Ji Xin; Rodrigo Nogueira 001; Yaoliang Yu; Jimmy Lin (SustaiNLP@EMNLP, 2020)

Inserting Information Bottlenecks for Attribution in Transformers. - Zhiying Jiang; Raphael Tang; Ji Xin; Jimmy Lin (CoRR, 2020)

The Art of Abstention: Selective Prediction and Error Regularization for Natural Language Processing. - Ji Xin; Raphael Tang; Yaoliang Yu; Jimmy Lin (ACL/IJCNLP (1), 2021)

How Does BERT Rerank Passages? An Attribution Analysis with Information Bottlenecks. - Zhiying Jiang; Raphael Tang; Ji Xin; Jimmy Lin (BlackboxNLP@EMNLP, 2021)

Approach Zero and Anserini at the CLEF-2021 ARQMath Track: Applying Substructure Search and BM25 on Operator Tree Path Tokens. - Wei Zhong; Xinyu Zhang 018; Ji Xin; Richard Zanibbi; Jimmy Lin (CLEF (Working Notes), 2021)

Serverless BM25 Search and BERT Reranking. - Mayank Anand; Jiarui Zhang; Shane Ding; Ji Xin; Jimmy Lin (DESIRES, 2021)

BERxiT: Early Exiting for BERT with Better Fine-Tuning and Extension to Regression. - Ji Xin; Raphael Tang; Yaoliang Yu; Jimmy Lin (EACL, 2021)

Simple and Effective Unsupervised Redundancy Elimination to Compress Dense Vectors for Passage Retrieval. - Xueguang Ma; Minghan Li 002; Kai Sun; Ji Xin; Jimmy Lin (EMNLP (1), 2021)

Voice Query Auto Completion. - Raphael Tang; Karun Kumar; Kendra Chalkley; Ji Xin; Liming Zhang; Wenyan Li 001; Gefei Yang; Yajie Mao; Junho Shin; Geoffrey Craig Murray; Jimmy Lin (EMNLP (1), 2021)

Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations. - Ji Xin; Chenyan Xiong; Ashwin Srinivasan 003; Ankita Sharma; Damien Jose; Paul Bennett 001 (ACL (Findings), 2022)

Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking. - Minghan Li 002; Xinyu Zhang 018; Ji Xin; Hongyang Zhang 001; Jimmy Lin (EMNLP, 2022)

Temporal Early Exiting for Streaming Speech Commands Recognition. - Raphael Tang; Karun Kumar; Ji Xin; Piyush Vyas; Wenyan Li 001; Gefei Yang; Yajie Mao; G. Craig Murray; Jimmy Lin (ICASSP, 2022)

Few-Shot Non-Parametric Learning with Deep Latent Variable Model. - Zhiying Jiang; Yiqin Dai; Ji Xin; Ming Li 001; Jimmy Lin (NeurIPS, 2022)

Building an Efficiency Pipeline: Commutativity and Cumulativeness of Efficiency Operators for Transformers. - Ji Xin; Raphael Tang; Zhiying Jiang; Yaoliang Yu; Jimmy Lin (CoRR, 2022)

Operator Selection and Ordering in a Pipeline Approach to Efficiency Optimizations for Transformers. - Ji Xin; Raphael Tang; Zhiying Jiang; Yaoliang Yu; Jimmy Lin (ACL (Findings), 2023)

MultiResFormer: Transformer with Adaptive Multi-Resolution Modeling for General Time Series Forecasting. - Linfeng Du; Ji Xin; Alex Labach; Saba Zuberi; Maksims Volkovs; Rahul G. Krishnan (CoRR, 2023)

Textual Bayes: Quantifying Uncertainty in LLM-Based Systems. - Brendan Leigh Ross; Noël Vouitsis; Atiyeh Ashari Ghomi; Rasa Hosseinzadeh; Ji Xin; Zhaoyan Liu; Yi Sui 001; Shiyi Hou; Kin Kwan Leung; Gabriel Loaiza-Ganem; Jesse C. Cresswell (CoRR, 2025)