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Ji Xin
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2020 – today
- 2023
- [c19]Ji Xin, Raphael Tang, Zhiying Jiang, Yaoliang Yu, Jimmy Lin:
Operator Selection and Ordering in a Pipeline Approach to Efficiency Optimizations for Transformers. ACL (Findings) 2023: 2870-2882 - [i9]Linfeng Du, Ji Xin, Alex Labach, Saba Zuberi, Maksims Volkovs, Rahul G. Krishnan:
MultiResFormer: Transformer with Adaptive Multi-Resolution Modeling for General Time Series Forecasting. CoRR abs/2311.18780 (2023) - 2022
- [c18]Ji Xin, Chenyan Xiong, Ashwin Srinivasan, Ankita Sharma, Damien Jose, Paul Bennett:
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations. ACL (Findings) 2022: 4008-4020 - [c17]Minghan Li
, Xinyu Zhang, Ji Xin, Hongyang Zhang, Jimmy Lin:
Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking. EMNLP 2022: 333-345 - [c16]Raphael Tang, Karun Kumar, Ji Xin, Piyush Vyas, Wenyan Li, Gefei Yang, Yajie Mao, G. Craig Murray, Jimmy Lin:
Temporal Early Exiting for Streaming Speech Commands Recognition. ICASSP 2022: 7567-7571 - [c15]Zhiying Jiang, Yiqin Dai, Ji Xin, Ming Li, Jimmy Lin:
Few-Shot Non-Parametric Learning with Deep Latent Variable Model. NeurIPS 2022 - [i8]Minghan Li, Xinyu Zhang, Ji Xin, Hongyang Zhang, Jimmy Lin:
Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking. CoRR abs/2205.09638 (2022) - [i7]Zhiying Jiang, Yiqin Dai, Ji Xin, Ming Li, Jimmy Lin:
Few-Shot Non-Parametric Learning with Deep Latent Variable Model. CoRR abs/2206.11573 (2022) - [i6]Ji Xin, Raphael Tang, Zhiying Jiang, Yaoliang Yu, Jimmy Lin:
Building an Efficiency Pipeline: Commutativity and Cumulativeness of Efficiency Operators for Transformers. CoRR abs/2208.00483 (2022) - 2021
- [c14]Ji Xin, Raphael Tang, Yaoliang Yu, Jimmy Lin:
The Art of Abstention: Selective Prediction and Error Regularization for Natural Language Processing. ACL/IJCNLP (1) 2021: 1040-1051 - [c13]Zhiying Jiang, Raphael Tang, Ji Xin, Jimmy Lin:
How Does BERT Rerank Passages? An Attribution Analysis with Information Bottlenecks. BlackboxNLP@EMNLP 2021: 496-509 - [c12]Wei Zhong, Xinyu Zhang, Ji Xin, Richard Zanibbi, Jimmy Lin:
Approach Zero and Anserini at the CLEF-2021 ARQMath Track: Applying Substructure Search and BM25 on Operator Tree Path Tokens. CLEF (Working Notes) 2021: 133-156 - [c11]Mayank Anand, Jiarui Zhang, Shane Ding, Ji Xin, Jimmy Lin:
Serverless BM25 Search and BERT Reranking. DESIRES 2021: 3-9 - [c10]Ji Xin, Raphael Tang, Yaoliang Yu, Jimmy Lin:
BERxiT: Early Exiting for BERT with Better Fine-Tuning and Extension to Regression. EACL 2021: 91-104 - [c9]Raphael Tang, Karun Kumar, Kendra Chalkley, Ji Xin, Liming Zhang, Wenyan Li, Gefei Yang, Yajie Mao, Junho Shin, Geoffrey Craig Murray, Jimmy Lin:
Voice Query Auto Completion. EMNLP (1) 2021: 900-906 - [c8]Xueguang Ma, Minghan Li
Simple and Effective Unsupervised Redundancy Elimination to Compress Dense Vectors for Passage Retrieval. EMNLP (1) 2021: 2854-2859 - [i5]Ji Xin, Chenyan Xiong, Ashwin Srinivasan, Ankita Sharma, Damien Jose, Paul N. Bennett:
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations. CoRR abs/2110.07581 (2021) - 2020
- [c7]Ji Xin, Raphael Tang, Jaejun Lee, Yaoliang Yu, Jimmy Lin:
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference. ACL 2020: 2246-2251 - [c6]Raphael Tang, Jaejun Lee, Ji Xin, Xinyu Liu, Yaoliang Yu, Jimmy Lin:
Showing Your Work Doesn't Always Work. ACL 2020: 2766-2772 - [c5]Ji Xin, Rodrigo Frassetto Nogueira, Yaoliang Yu, Jimmy Lin:
Early Exiting BERT for Efficient Document Ranking. SustaiNLP@EMNLP 2020: 83-88 - [c4]Zhiying Jiang, Raphael Tang, Ji Xin, Jimmy Lin:
Inserting Information Bottleneck for Attribution in Transformers. EMNLP (Findings) 2020: 3850-3857 - [i4]Ji Xin, Raphael Tang, Jaejun Lee, Yaoliang Yu, Jimmy Lin:
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference. CoRR abs/2004.12993 (2020) - [i3]Raphael Tang, Jaejun Lee, Ji Xin, Xinyu Liu, Yaoliang Yu, Jimmy Lin:
Showing Your Work Doesn't Always Work. CoRR abs/2004.13705 (2020) - [i2]Zhiying Jiang, Raphael Tang, Ji Xin, Jimmy Lin:
Inserting Information Bottlenecks for Attribution in Transformers. CoRR abs/2012.13838 (2020)
2010 – 2019
- 2019
- [c3]Ji Xin, Jimmy Lin, Yaoliang Yu:
What Part of the Neural Network Does This? Understanding LSTMs by Measuring and Dissecting Neurons. EMNLP/IJCNLP (1) 2019: 5822-5829 - [i1]Achyudh Ram, Ji Xin, Meiyappan Nagappan, Yaoliang Yu, Rocío Cabrera Lozoya, Antonino Sabetta, Jimmy Lin:
Exploiting Token and Path-based Representations of Code for Identifying Security-Relevant Commits. CoRR abs/1911.07620 (2019) - 2018
- [c2]Ji Xin, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Improving Neural Fine-Grained Entity Typing With Knowledge Attention. AAAI 2018: 5997-6004 - [c1]Ji Xin, Hao Zhu, Xu Han, Zhiyuan Liu, Maosong Sun:
Put It Back: Entity Typing with Language Model Enhancement. EMNLP 2018: 993-998
Coauthor Index
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