No, you're not alone: A better way to find people with similar experiences on Reddit. - Zhilin Wang; Elena Rastorgueva; Weizhe Lin; Xiaodong Wu (W-NUT@EMNLP, 2019)

Automatic Detection of Self-Adaptors for Psychological Distress. - Weizhe Lin; Indigo Orton; Mingyu Liu; Marwa Mahmoud (FG, 2020)

Multimodal Deep Learning Framework for Mental Disorder Recognition. - Ziheng Zhang; Weizhe Lin; Mingyu Liu; Marwa Mahmoud (FG, 2020)

Author2Vec: A Framework for Generating User Embedding. - Xiaodong Wu; Weizhe Lin; Zhilin Wang; Elena Rastorgueva (CoRR, 2020)

Identifying Similar Movie Characters Quickly but Effectively Using Non-exhaustive Pair-wise Attention. - Zhilin Wang; Weizhe Lin; Xiaodong Wu (CoRR, 2020)

Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking. - Weizhe Lin; Bo-Hsiang Tseng; Bill Byrne (EMNLP (1), 2021)

Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning. - Qingbiao Li; Weizhe Lin; Zhe Liu 022; Amanda Prorok (IEEE Robotics Autom. Lett., 2021)

Retrieval Augmented Visual Question Answering with Outside Knowledge. - Weizhe Lin; Bill Byrne (EMNLP, 2022)

Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets. - Weizhe Lin; Linjun Shou; Ming Gong 001; Jian Pei 001; Zhilin Wang; Bill Byrne; Daxin Jiang (KaRS@RecSys, 2022)

Transformer-Empowered Content-Aware Collaborative Filtering. - Weizhe Lin; Linjun Shou; Ming Gong 001; Jian Pei 001; Zhilin Wang; Bill Byrne; Daxin Jiang (KaRS@RecSys, 2022)

An Inner Table Retriever for Robust Table Question Answering. - Weizhe Lin; Rexhina Blloshmi; Bill Byrne; Adrià de Gispert; Gonzalo Iglesias (ACL (1), 2023)

LI-RAGE: Late Interaction Retrieval Augmented Generation with Explicit Signals for Open-Domain Table Question Answering. - Weizhe Lin; Rexhina Blloshmi; Bill Byrne; Adrià de Gispert; Gonzalo Iglesias (ACL (2), 2023)

More Robust Schema-Guided Dialogue State Tracking via Tree-Based Paraphrase Ranking. - Alexandru Coca; Bo-Hsiang Tseng; Weizhe Lin; Bill Byrne (EACL (Findings), 2023)

FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering. - Weizhe Lin; Zhilin Wang; Bill Byrne (EACL (Findings), 2023)

Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering. - Weizhe Lin; Jinghong Chen; Jingbiao Mei; Alexandru Coca; Bill Byrne (NeurIPS, 2023)

Grounding Description-Driven Dialogue State Trackers with Knowledge-Seeking Turns. - Alexandru Coca; Bo-Hsiang Tseng; Jinghong Chen; Weizhe Lin; Weixuan Zhang; Tisha Anders; Bill Byrne (SIGDIAL, 2023)

Schema-Guided Semantic Accuracy: Faithfulness in Task-Oriented Dialogue Response Generation. - Jinghong Chen; Weizhe Lin; Bill Byrne (CoRR, 2023)

Improving hateful memes detection via learning hatefulness-aware embedding space through retrieval-guided contrastive learning. - Jingbiao Mei; Jinghong Chen; Weizhe Lin; Bill Byrne; Marcus Tomalin (CoRR, 2023)

Looking at the Body: Automatic Analysis of Body Gestures and Self-Adaptors in Psychological Distress. - Weizhe Lin; Indigo Orton; Qingbiao Li; Gabriela Pavarini; Marwa Mahmoud (IEEE Trans. Affect. Comput., 2023)

Self-supervised deep learning for tracking degradation of perovskite light-emitting diodes with multispectral imaging. - Kangyu Ji; Weizhe Lin; Yuqi Sun; Lin-Song Cui; Javad Shamsi; Yu-Hsien Chiang; Jiawei Chen; Elizabeth M. Tennyson; Linjie Dai; Qingbiao Li; Kyle Frohna; Miguel Anaya; et al. (Nat. Mac. Intell., 2023)

PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers. - Weizhe Lin; Jingbiao Mei; Jinghong Chen; Bill Byrne (ACL (1), 2024)

Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning. - Jingbiao Mei; Jinghong Chen; Weizhe Lin; Bill Byrne; Marcus Tomalin (ACL (1), 2024)

Control-DAG: Constrained Decoding for Non-Autoregressive Directed Acyclic T5 using Weighted Finite State Automata. - Jinghong Chen; Weizhe Lin; Jingbiao Mei; Bill Byrne (NAACL (Short Papers), 2024)

Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding. - Guangyu Yang; Jinghong Chen; Weizhe Lin; Bill Byrne (NAACL (Short Papers), 2024)

Few-Shot VQA with Frozen LLMs: A Tale of Two Approaches. - Igor Sterner; Weizhe Lin; Jinghong Chen; Bill Byrne (CoRR, 2024)

On Extending Direct Preference Optimization to Accommodate Ties. - Jinghong Chen; Guangyu Yang; Weizhe Lin; Jingbiao Mei; Bill Byrne (CoRR, 2024)

Human-inspired Perspectives: A Survey on AI Long-term Memory. - Zihong He; Weizhe Lin; Hao Zheng; Fan Zhang; Matt W. Jones; Laurence Aitchison; Xuhai Xu; Miao Liu; Per Ola Kristensson; Junxiao Shen (CoRR, 2024)

Lucia: A Temporal Computing Platform for Contextual Intelligence. - Weizhe Lin; Junxiao Shen (CoRR, 2024)

X-LeBench: A Benchmark for Extremely Long Egocentric Video Understanding. - Wenqi Zhou; Kai Cao; Hao Zheng; Xinyi Zheng; Miao Liu; Per Ola Kristensson; Walterio W. Mayol-Cuevas; Fan Zhang; Weizhe Lin; Junxiao Shen (CoRR, 2025)

CULTURE3D: Cultural Landmarks and Terrain Dataset for 3D Applications. - Xinyi Zheng; Steve Zhang; Weizhe Lin; Aaron Zhang; Walterio W. Mayol-Cuevas; Junxiao Shen (CoRR, 2025)

Improved Fine-Tuning of Large Multimodal Models for Hateful Meme Detection. - Jingbiao Mei; Jinghong Chen; Guangyu Yang; Weizhe Lin; Bill Byrne (CoRR, 2025)

TrimR: Verifier-based Training-Free Thinking Compression for Efficient Test-Time Scaling. - Weizhe Lin; Xing Li; Zhiyuan Yang 003; Xiaojin Fu; Hui-Ling Zhen; Yaoyuan Wang; Xianzhi Yu; Wulong Liu; Xiaosong Li; Mingxuan Yuan (CoRR, 2025)