Response Selection for Multi-Party Conversations with Dynamic Topic Tracking. - Weishi Wang; Steven C. H. Hoi; Shafiq R. Joty (EMNLP (1), 2020)

An Innovative Algorithm to Process Imaging Data for Detection of Weak Chick Embryos in Vaccine Production. - Lei Chen; Lei Geng; Zenglai Gao; Shoujun Li; Xubin Fu; Weishi Wang; Yuanbo Feng; Shuncong Wang; Yue Li; Yajun Fang; Stanley Tao; Yicheng Ni; et al. (UV, 2020)

Evaluation of Smart Healthcare Systems and Novel UV-Oriented Solution for Integration, Resilience, Inclusiveness and Sustainability. - Lifeng Zhang; Jiashu Ren; Hao Yuan 003; Zhiyuan Yang 004; Weishi Wang; Mengxi Guo; Guanghua Cheng; Longfei Zhou; Stanley Tao; Lin Zhang 009; Hongyan Cui; Yajun Fang (UV, 2020)

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation. - Yue Wang 034; Weishi Wang; Shafiq R. Joty; Steven C. H. Hoi (EMNLP (1), 2021)

Fengyun-3D/MERSI-II Cloud Thermodynamic Phase Determination Using a Machine-Learning Approach. - Dexin Zhao; Lin Zhu; Hongfu Sun; Jun Li; Weishi Wang (Remote. Sens., 2021)

Towards Low-Resource Automatic Program Repair with Meta-Learning and Pretrained Language Models. - Weishi Wang; Yue Wang 034; Steven C. H. Hoi; Shafiq Joty (EMNLP, 2023)

Retrieving Multimodal Information for Augmented Generation: A Survey. - Ruochen Zhao; Hailin Chen; Weishi Wang; Fangkai Jiao; Do Xuan Long; Chengwei Qin; Bosheng Ding; Xiaobao Guo; Minzhi Li; Xingxuan Li; Shafiq Joty (EMNLP (Findings), 2023)

RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair. - Weishi Wang; Yue Wang 034; Shafiq Joty; Steven C. H. Hoi (ESEC/SIGSOFT FSE, 2023)

xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval. - Mohammad Abdullah Matin Khan; M. Saiful Bari; Xuan Long Do; Weishi Wang; Md. Rizwan Parvez; Shafiq R. Joty (CoRR, 2023)

XCodeEval: An Execution-based Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval. - Mohammad Abdullah Matin Khan; M. Saiful Bari; Xuan Do Long; Weishi Wang; Md. Rizwan Parvez; Shafiq Joty (ACL (1), 2024)

Enhanced Sentiment Intensity Regression Through LoRA Fine-Tuning on Llama 3. - Diefan Lin; Yi Wen; Weishi Wang; Yan Su (IEEE Access, 2024)

Personalized Binomial DAGs Learning with Network Structured Covariates. - Boxin Zhao; Weishi Wang; Dingyuan Zhu; Ziqi Liu; Dong Wang 062; Zhiqiang Zhang 012; Jun Zhou 011; Mladen Kolar (CoRR, 2024)

Composable and adaptive design of machine learning interatomic potentials guided by Fisher-information analysis. - Weishi Wang; Mark K. Transtrum; Vincenzo Lordi; Vasily V. Bulatov; Amit Samanta 003 (CoRR, 2025)

A Collaborative Process Parameter Recommender System for Fleets of Networked Manufacturing Machines - with Application to 3D Printing. - Weishi Wang; Sicong Guo; Chenhuan Jiang; Mohamed Elidrisi; Myungjin Lee; Harsha V. Madhyastha; Raed Al Kontar; Chinedum Emmanuel Okwudire (CoRR, 2025)