HOP-rec: high-order proximity for implicit recommendation. - Jheng-Hong Yang; Chih-Ming Chen 003; Chuan-Ju Wang; Ming-Feng Tsai (RecSys, 2018)

Query and Answer Expansion from Conversation History. - Jheng-Hong Yang; Sheng-Chieh Lin; Chuan-Ju Wang; Jimmy Lin; Ming-Feng Tsai (TREC, 2019)

Designing Templates for Eliciting Commonsense Knowledge from Pretrained Sequence-to-Sequence Models. - Jheng-Hong Yang; Sheng-Chieh Lin; Rodrigo Nogueira 001; Ming-Feng Tsai; Chuan-Ju Wang; Jimmy Lin (COLING, 2020)

TREC 2020 Notebook: CAsT Track. - Sheng-Chieh Lin; Jheng-Hong Yang; Jimmy Lin (TREC, 2020)

TTTTTackling WinoGrande Schemas. - Sheng-Chieh Lin; Jheng-Hong Yang; Rodrigo Nogueira 001; Ming-Feng Tsai; Chuan-Ju Wang; Jimmy Lin (CoRR, 2020)

Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models. - Sheng-Chieh Lin; Jheng-Hong Yang; Rodrigo Nogueira 001; Ming-Feng Tsai; Chuan-Ju Wang; Jimmy Lin (CoRR, 2020)

Query Reformulation using Query History for Passage Retrieval in Conversational Search. - Sheng-Chieh Lin; Jheng-Hong Yang; Rodrigo Nogueira 001; Ming-Feng Tsai; Chuan-Ju Wang; Jimmy Lin (CoRR, 2020)

Distilling Dense Representations for Ranking using Tightly-Coupled Teachers. - Sheng-Chieh Lin; Jheng-Hong Yang; Jimmy Lin (CoRR, 2020)

Contextualized Query Embeddings for Conversational Search. - Sheng-Chieh Lin; Jheng-Hong Yang; Jimmy Lin (EMNLP (1), 2021)

In-Batch Negatives for Knowledge Distillation with Tightly-Coupled Teachers for Dense Retrieval. - Sheng-Chieh Lin; Jheng-Hong Yang; Jimmy Lin (RepL4NLP@ACL-IJCNLP, 2021)

Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling. - Sebastian Hofstätter; Sheng-Chieh Lin; Jheng-Hong Yang; Jimmy Lin; Allan Hanbury (SIGIR, 2021)

Text-to-Text Multi-view Learning for Passage Re-ranking. - Jia-Huei Ju; Jheng-Hong Yang; Chuan-Ju Wang (SIGIR, 2021)

Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations. - Jimmy Lin; Xueguang Ma; Sheng-Chieh Lin; Jheng-Hong Yang; Ronak Pradeep; Rodrigo Nogueira 001 (SIGIR, 2021)

Chatty Goose: A Python Framework for Conversational Search. - Edwin Zhang; Sheng-Chieh Lin; Jheng-Hong Yang; Ronak Pradeep; Rodrigo Nogueira 001; Jimmy Lin (SIGIR, 2021)

Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations. - Jimmy Lin; Xueguang Ma; Sheng-Chieh Lin; Jheng-Hong Yang; Ronak Pradeep; Rodrigo Nogueira 001 (CoRR, 2021)

Sparsifying Sparse Representations for Passage Retrieval by Top-k Masking. - Jheng-Hong Yang; Xueguang Ma; Jimmy Lin (CoRR, 2021)

Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting. - Sheng-Chieh Lin; Jheng-Hong Yang; Rodrigo Nogueira 001; Ming-Feng Tsai; Chuan-Ju Wang; Jimmy Lin (ACM Trans. Inf. Syst., 2021)

Evaluating Token-Level and Passage-Level Dense Retrieval Models for Math Information Retrieval. - Wei Zhong; Jheng-Hong Yang; Yuqing Xie 001; Jimmy Lin (EMNLP (Findings), 2022)

Multiperiod Corporate Default Prediction Through Neural Parametric Family Learning. - Wei-Lun Luo; Yu-Ming Lu; Jheng-Hong Yang; Jin-Chuan Duan; Chuan-Ju Wang (SDM, 2022)

Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval. - Jimmy Lin; David Alfonso-Hermelo; Vitor Jeronymo; Ehsan Kamalloo; Carlos Lassance; Rodrigo Nogueira 001; Odunayo Ogundepo; Mehdi Rezagholizadeh; Nandan Thakur; Jheng-Hong Yang; Xinyu Zhang 018 (TREC, 2022)

Evaluating Token-Level and Passage-Level Dense Retrieval Models for Math Information Retrieval. - Wei Zhong; Jheng-Hong Yang; Jimmy Lin (CoRR, 2022)

AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation. - Jheng-Hong Yang; Carlos Lassance; Rafael Sampaio de Rezende; Krishna Srinivasan; Miriam Redi; Stéphane Clinchant; Jimmy Lin (SIGIR, 2023)

One Blade for One Purpose: Advancing Math Information Retrieval using Hybrid Search. - Wei Zhong; Sheng-Chieh Lin; Jheng-Hong Yang; Jimmy Lin (SIGIR, 2023)

TREC 2023 - h2oloo in the Product Search Challenge. - Jheng-Hong Yang; Jimmy Lin (TREC, 2023)

TREC2023 AToMiC Overview. - Jheng-Hong Yang; Carlos Lassance; Rafael Sampaio de Rezende; Krishna Srinivasan; Miriam Redi; Stéphane Clinchant; Jimmy Lin (TREC, 2023)

Resources for Brewing BEIR: Reproducible Reference Models and an Official Leaderboard. - Ehsan Kamalloo; Nandan Thakur; Carlos Lassance; Xueguang Ma; Jheng-Hong Yang; Jimmy Lin (CoRR, 2023)

Toward Automatic Relevance Judgment using Vision-Language Models for Image-Text Retrieval Evaluation. - Jheng-Hong Yang; Jimmy Lin (LLM4Eval@SIGIR, 2024)

Resources for Brewing BEIR: Reproducible Reference Models and Statistical Analyses. - Ehsan Kamalloo; Nandan Thakur; Carlos Lassance; Xueguang Ma; Jheng-Hong Yang; Jimmy Lin (SIGIR, 2024)

Gosling Grows Up: Retrieval with Learned Dense and Sparse Representations Using Anserini. - Jimmy Lin; Arthur Haonan Chen; Carlos Lassance; Xueguang Ma; Ronak Pradeep; Tommaso Teofili; Jasper Xian; Jheng-Hong Yang; Brayden Zhong; Vincent Zhong (SIGIR, 2025)