Deconvolutional Paragraph Representation Learning. - Yizhe Zhang 002; Dinghan Shen; Guoyin Wang 002; Zhe Gan; Ricardo Henao; Lawrence Carin (NIPS, 2017)

NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. - Dinghan Shen; Qinliang Su; Paidamoyo Chapfuwa; Wenlin Wang; Guoyin Wang 002; Ricardo Henao; Lawrence Carin (ACL (1), 2018)

Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. - Dinghan Shen; Guoyin Wang 002; Wenlin Wang; Martin Renqiang Min; Qinliang Su; Yizhe Zhang 002; Chunyuan Li; Ricardo Henao; Lawrence Carin (ACL (1), 2018)

Joint Embedding of Words and Labels for Text Classification. - Guoyin Wang 002; Chunyuan Li; Wenlin Wang; Yizhe Zhang 002; Dinghan Shen; Xinyuan Zhang 001; Ricardo Henao; Lawrence Carin (ACL (1), 2018)

JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets. - Yunchen Pu; Shuyang Dai; Zhe Gan; Weiyao Wang 002; Guoyin Wang 002; Yizhe Zhang 002; Ricardo Henao; Lawrence Carin (ICML, 2018)

Adversarial Text Generation via Feature-Mover's Distance. - Liqun Chen 001; Shuyang Dai; Chenyang Tao; Haichao Zhang; Zhe Gan; Dinghan Shen; Yizhe Zhang 002; Guoyin Wang 002; Ruiyi Zhang 002; Lawrence Carin (NeurIPS, 2018)

Sequence Generation with Guider Network. - Ruiyi Zhang 002; Changyou Chen; Zhe Gan; Wenlin Wang; Liqun Chen 001; Dinghan Shen; Guoyin Wang 002; Lawrence Carin (CoRR, 2018)

Generative Adversarial Network Training is a Continual Learning Problem. - Kevin J. Liang; Chunyuan Li; Guoyin Wang 002; Lawrence Carin (CoRR, 2018)

Improving Textual Network Embedding with Global Attention via Optimal Transport. - Liqun Chen 001; Guoyin Wang 002; Chenyang Tao; Dinghan Shen; Pengyu Cheng; Xinyuan Zhang 001; Wenlin Wang; Yizhe Zhang 002; Lawrence Carin (ACL (1), 2019)

Adversarial Learning of a Sampler Based on an Unnormalized Distribution. - Chunyuan Li; Ke Bai 001; Jianqiao Li; Guoyin Wang 002; Changyou Chen; Lawrence Carin (AISTATS, 2019)

An End-to-End Generative Architecture for Paraphrase Generation. - Qian Yang 003; Zhouyuan Huo; Dinghan Shen; Yong Cheng; Wenlin Wang; Guoyin Wang 002; Lawrence Carin (EMNLP/IJCNLP (1), 2019)

Topic-Guided Variational Auto-Encoder for Text Generation. - Wenlin Wang; Zhe Gan; Hongteng Xu; Ruiyi Zhang 002; Guoyin Wang 002; Dinghan Shen; Changyou Chen; Lawrence Carin (NAACL-HLT (1), 2019)

Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods. - Kevin J. Liang; Guoyin Wang 002; Yitong Li 001; Ricardo Henao; Lawrence Carin (NeurIPS, 2019)

Improving Textual Network Learning with Variational Homophilic Embeddings. - Wenlin Wang; Chenyang Tao; Zhe Gan; Guoyin Wang 002; Liqun Chen 001; Xinyuan Zhang 001; Ruiyi Zhang 002; Qian Yang 003; Ricardo Henao; Lawrence Carin (NeurIPS, 2019)

Topic-Guided Variational Autoencoders for Text Generation. - Wenlin Wang; Zhe Gan; Hongteng Xu; Ruiyi Zhang 002; Guoyin Wang 002; Dinghan Shen; Changyou Chen; Lawrence Carin (CoRR, 2019)

Discriminative Clustering for Robust Unsupervised Domain Adaptation. - Rui Wang 088; Guoyin Wang 002; Ricardo Henao (CoRR, 2019)

Learning Word Embeddings with Domain Awareness. - Guoyin Wang 002; Yan Song 003; Yue Zhang 004; Dong Yu 001 (CoRR, 2019)

An Optimal Transport Framework for Zero-Shot Learning. - Wenlin Wang; Hongteng Xu; Guoyin Wang 002; Wenqi Wang 001; Lawrence Carin (CoRR, 2019)

Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding. - Dhanasekar Sundararaman; Vivek Subramanian; Guoyin Wang 002; Shijing Si; Dinghan Shen; Dong Wang 037; Lawrence Carin (CoRR, 2019)

Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning. - Liqun Chen 001; Ke Bai 001; Chenyang Tao; Yizhe Zhang 002; Guoyin Wang 002; Wenlin Wang; Ricardo Henao; Lawrence Carin (AAAI, 2020)

Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. - Wenlin Wang; Hongteng Xu; Zhe Gan; Bai Li 001; Guoyin Wang 002; Liqun Chen 001; Qian Yang 003; Wenqi Wang 001; Lawrence Carin (AAAI, 2020)

Improving Adversarial Text Generation by Modeling the Distant Future. - Ruiyi Zhang 002; Changyou Chen; Zhe Gan; Wenlin Wang; Dinghan Shen; Guoyin Wang 002; Zheng Wen; Lawrence Carin (ACL, 2020)

Advancing weakly supervised cross-domain alignment with optimal transport. - Siyang Yuan; Ke Bai 001; Liqun Chen 001; Yizhe Zhang 002; Chenyang Tao; Chunyuan Li; Guoyin Wang 002; Ricardo Henao; Lawrence Carin (BMVC, 2020)

Improving Text Generation with Student-Forcing Optimal Transport. - Jianqiao Li; Chunyuan Li; Guoyin Wang 002; Hao Fu 002; Yuh-Chen Lin; Liqun Chen 001; Yizhe Zhang 002; Chenyang Tao; Ruiyi Zhang 002; Wenlin Wang; Dinghan Shen; Qian Yang 003; et al. (EMNLP (1), 2020)

Methods for Numeracy-Preserving Word Embeddings. - Dhanasekar Sundararaman; Shijing Si; Vivek Subramanian; Guoyin Wang 002; Devamanyu Hazarika; Lawrence Carin (EMNLP (1), 2020)

Integrating Task Specific Information into Pretrained Language Models for Low Resource Fine Tuning. - Rui Wang 088; Shijing Si; Guoyin Wang 002; Lei Zhang; Lawrence Carin; Ricardo Henao (EMNLP (Findings), 2020)

POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training. - Yizhe Zhang 002; Guoyin Wang 002; Chunyuan Li; Zhe Gan; Chris Brockett; Bill Dolan (EMNLP (1), 2020)

Students Need More Attention: BERT-based Attention Model for Small Data with Application to Automatic Patient Message Triage. - Shijing Si; Rui Wang 088; Jedrek Wosik; Hao Zhang 050; David Dov; Guoyin Wang 002; Lawrence Carin (MLHC, 2020)

POINTER: Constrained Text Generation via Insertion-based Generative Pre-training. - Yizhe Zhang 002; Guoyin Wang 002; Chunyuan Li; Zhe Gan; Chris Brockett; Bill Dolan (CoRR, 2020)

Students Need More Attention: BERT-based AttentionModel for Small Data with Application to AutomaticPatient Message Triage. - Shijing Si; Rui Wang 088; Jedrek Wosik; Hao Zhang 050; David Dov; Guoyin Wang 002; Ricardo Henao; Lawrence Carin (CoRR, 2020)

Weakly supervised cross-domain alignment with optimal transport. - Siyang Yuan; Ke Bai 001; Liqun Chen 001; Yizhe Zhang 002; Chenyang Tao; Chunyuan Li; Guoyin Wang 002; Ricardo Henao; Lawrence Carin (CoRR, 2020)

Applications of Deep Representation Learning to Natural Language Processing and Satellite Imagery. - Guoyin Wang 002 (2020)

AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation. - Xinnuo Xu; Guoyin Wang 002; Young-Bum Kim; Sungjin Lee (ACL/IJCNLP (1), 2021)

Deciding Whether to Ask Clarifying Questions in Large-Scale Spoken Language Understanding. - Joo-Kyung Kim; Guoyin Wang 002; Sungjin Lee; Young-Bum Kim (ASRU, 2021)

Syntactic Knowledge-Infused Transformer and BERT Models. - Dhanasekar Sundararaman; Vivek Subramanian; Guoyin Wang 002; Shijing Si; Dinghan Shen; Dong Wang 037; Lawrence Carin (CIKM Workshops, 2021)

Zero-Shot Recognition via Optimal Transport. - Wenlin Wang; Hongteng Xu; Guoyin Wang 002; Wenqi Wang 001; Lawrence Carin (WACV, 2021)

Interpreting Deep Learning Models in Natural Language Processing: A Review. - Xiaofei Sun 001; Diyi Yang; Xiaoya Li 001; Tianwei Zhang 004; Yuxian Meng; Han Qiu 001; Guoyin Wang 002; Eduard H. Hovy; Jiwei Li 001 (CoRR, 2021)

Faster Nearest Neighbor Machine Translation. - Shuhe Wang; Jiwei Li 001; Yuxian Meng; Rongbin Ouyang; Guoyin Wang 002; Xiaoya Li 001; Tianwei Zhang 004; Shi Zong (CoRR, 2021)

Local PM2.5 Hotspot Detector at 300 m Resolution: A Random Forest-Convolutional Neural Network Joint Model Jointly Trained on Satellite Images and Meteorology. - Tongshu Zheng; Michael Bergin; Guoyin Wang 002; David E. Carlson (Remote. Sens., 2021)

Improving Downstream Task Performance by Treating Numbers as Entities. - Dhanasekar Sundararaman; Vivek Subramanian; Guoyin Wang 002; Liyan Xu; Lawrence Carin (CIKM, 2022)

An MRC Framework for Semantic Role Labeling. - Nan Wang; Jiwei Li 001; Yuxian Meng; Xiaofei Sun 001; Han Qiu 001; Ziyao Wang; Guoyin Wang 002; Jun He 008 (COLING, 2022)

Open World Classification with Adaptive Negative Samples. - Ke Bai 001; Guoyin Wang 002; Jiwei Li 001; Sunghyun Park; Sungjin Lee; Puyang Xu; Ricardo Henao; Lawrence Carin (EMNLP, 2022)

kNN-NER: Named Entity Recognition with Nearest Neighbor Search. - Shuhe Wang; Xiaoya Li 001; Yuxian Meng; Tianwei Zhang 004; Rongbin Ouyang; Jiwei Li 001; Guoyin Wang 002 (CoRR, 2022)

Number Entity Recognition. - Dhanasekar Sundararaman; Vivek Subramanian; Guoyin Wang 002; Liyan Xu; Lawrence Carin (CoRR, 2022)

Learning Personalized Representations using Graph Convolutional Network. - Hongyu Shen; Jinoh Oh; Shuai Zhao; Guoyin Wang 002; Tara Taghavi; Sungjin Lee (CoRR, 2022)

Ranking-Enhanced Unsupervised Sentence Representation Learning. - Yeon Seonwoo; Guoyin Wang 002; Changmin Seo; Sajal Choudhary; Jiwei Li 001; Xiang Li; Puyang Xu; Sunghyun Park; Alice Oh (ACL (1), 2023)

GNN-SL: Sequence Labeling Based on Nearest Examples via GNN. - Shuhe Wang; Yuxian Meng; Rongbin Ouyang; Jiwei Li 001; Tianwei Zhang 004; Lingjuan Lyu; Guoyin Wang 002 (ACL (Findings), 2023)

ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models. - Jianyi Zhang; Aashiq Muhamed; Aditya Anantharaman; Guoyin Wang 002; Changyou Chen; Kai Zhong; Qingjun Cui; Yi Xu 011; Belinda Zeng; Trishul Chilimbi; Yiran Chen 001 (ACL (2), 2023)

OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding. - Zhan Shi; Guoyin Wang 002; Ke Bai 001; Jiwei Li 001; Xiang Li; Qingjun Cui; Belinda Zeng; Trishul Chilimbi; Xiaodan Zhu 001 (EMNLP, 2023)

Text Classification via Large Language Models. - Xiaofei Sun 001; Xiaoya Li 001; Jiwei Li 001; Fei Wu 001; Shangwei Guo; Tianwei Zhang 004; Guoyin Wang 002 (EMNLP (Findings), 2023)

PK-ICR: Persona-Knowledge Interactive Context Retrieval for Grounded Dialogue. - Minsik Oh; Joosung Lee; Jiwei Li 001; Guoyin Wang 002 (CoRR, 2023)

GPT-NER: Named Entity Recognition via Large Language Models. - Shuhe Wang; Xiaofei Sun 001; Xiaoya Li 001; Rongbin Ouyang; Fei Wu 001; Tianwei Zhang 004; Jiwei Li 001; Guoyin Wang 002 (CoRR, 2023)

Towards Building the Federated GPT: Federated Instruction Tuning. - Jianyi Zhang; Saeed Vahidian; Martin Kuo; Chunyuan Li; Ruiyi Zhang 002; Guoyin Wang 002; Yiran Chen 001 (CoRR, 2023)

TaDSE: Template-aware Dialogue Sentence Embeddings. - Minsik Oh; Jiwei Li 001; Guoyin Wang 002 (CoRR, 2023)

Pushing the Limits of ChatGPT on NLP Tasks. - Xiaofei Sun 001; Linfeng Dong; Xiaoya Li 001; Zhen Wan; Shuhe Wang; Tianwei Zhang 004; Jiwei Li 001; Fei Cheng 002; Lingjuan Lyu; Fei Wu 001; Guoyin Wang 002 (CoRR, 2023)

Instruction Tuning for Large Language Models: A Survey. - Shengyu Zhang 001; Linfeng Dong; Xiaoya Li 001; Sen Zhang; Xiaofei Sun 001; Shuhe Wang; Jiwei Li 001; Runyi Hu; Tianwei Zhang 004; Fei Wu 001; Guoyin Wang 002 (CoRR, 2023)

Sentiment Analysis through LLM Negotiations. - Xiaofei Sun 001; Xiaoya Li 001; Shengyu Zhang 001; Shuhe Wang; Fei Wu 001; Jiwei Li 001; Tianwei Zhang 004; Guoyin Wang 002 (CoRR, 2023)

Sim-GPT: Text Similarity via GPT Annotated Data. - Shuhe Wang; Beiming Cao; Shengyu Zhang 001; Xiaoya Li 001; Jiwei Li 001; Fei Wu 001; Guoyin Wang 002; Eduard H. Hovy (CoRR, 2023)

An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing. - Ziwei Chai; Guoyin Wang 002; Jing Su; Tianjie Zhang; Xuanwen Huang; Xuwu Wang; Jingjing Xu; Jianbo Yuan; Hongxia Yang; Fei Wu 001; Yang Yang 009 (ACL (1), 2024)

LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild. - Ziyu Zhao 001; Leilei Gan; Guoyin Wang 002; Wangchunshu Zhou; Hongxia Yang; Kun Kuang; Fei Wu 001 (ACL (Findings), 2024)

Towards Building The Federatedgpt: Federated Instruction Tuning. - Jianyi Zhang; Saeed Vahidian; Martin Kuo; Chunyuan Li; Ruiyi Zhang 002; Tong Yu 001; Guoyin Wang 002; Yiran Chen 001 (ICASSP, 2024)

Are Human-generated Demonstrations Necessary for In-context Learning? - Rui Li; Guoyin Wang 002; Jiwei Li 001 (ICLR, 2024)

InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks. - Xueyu Hu; Ziyu Zhao 001; Shuang Wei; Ziwei Chai; Qianli Ma; Guoyin Wang 002; Xuwu Wang; Jing Su; Jingjing Xu; Ming Zhu; Yao Cheng; Jianbo Yuan; et al. (ICML, 2024)

InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks. - Xueyu Hu; Ziyu Zhao 001; Shuang Wei; Ziwei Chai; Guoyin Wang 002; Xuwu Wang; Jing Su; Jingjing Xu; Ming Zhu; Yao Cheng; Jianbo Yuan; Kun Kuang; et al. (CoRR, 2024)

Similarity-based Neighbor Selection for Graph LLMs. - Rui Li; Jiwei Li 001; Jiawei Han; Guoyin Wang 002 (CoRR, 2024)

Empowering Large Language Model Agents through Action Learning. - Haiteng Zhao; Chang Ma; Guoyin Wang 002; Jing Su; Lingpeng Kong; Jingjing Xu; Zhi-Hong Deng 001; Hongxia Yang (CoRR, 2024)

Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learning. - Ziyu Zhao 001; Leilei Gan; Guoyin Wang 002; Yuwei Hu; Tao Shen 002; Hongxia Yang; Kun Kuang; Fei Wu 001 (CoRR, 2024)

BabelBench: An Omni Benchmark for Code-Driven Analysis of Multimodal and Multistructured Data. - Xuwu Wang; Qiwen Cui; Yunzhe Tao; Yiran Wang; Ziwei Chai; Xiaotian Han; Boyi Liu; Jianbo Yuan; Jing Su; Guoyin Wang 002; Tingkai Liu; Liyu Chen; et al. (CoRR, 2024)

Packing Analysis: Packing Is More Appropriate for Large Models or Datasets in Supervised Fine-tuning. - Shuhe Wang; Guoyin Wang 002; Jiwei Li 001; Eduard H. Hovy; Chen Guo (CoRR, 2024)

Reinforcement Learning Enhanced LLMs: A Survey. - Shuhe Wang; Shengyu Zhang 001; Jie Zhang 073; Runyi Hu; Xiaoya Li 001; Tianwei Zhang 004; Jiwei Li 001; Fei Wu 001; Guoyin Wang 002; Eduard H. Hovy (CoRR, 2024)

OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use. - Xueyu Hu; Tao Xiong; Biao Yi; Zishu Wei; Ruixuan Xiao; Yurun Chen 004; Jiasheng Ye; Meiling Tao; Xiangxin Zhou; Ziyu Zhao 001; Yuhuai Li; Shengze Xu; et al. (ACL (1), 2025)

Packing Analysis: Packing Is More Appropriate for Large Models or Datasets in Supervised Fine-tuning. - Shuhe Wang; Guoyin Wang 002; Yizhong Wang; Jiwei Li 001; Eduard H. Hovy; Chen Guo (ACL (Findings), 2025)

GPT-NER: Named Entity Recognition via Large Language Models. - Shuhe Wang; Xiaofei Sun 001; Xiaoya Li 001; Rongbin Ouyang; Fei Wu 001; Tianwei Zhang 004; Jiwei Li 001; Guoyin Wang 002; Chen Guo (NAACL (Findings), 2025)

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data. - Shuhe Wang; Xiaoya Li 001; Xiaofei Sun 001; Guoyin Wang 002; Tianwei Zhang 004; Jiwei Li 001; Eduard H. Hovy (CoRR, 2025)

GBFRS: Robust Fuzzy Rough Sets via Granular-ball Computing. - Shuyin Xia; Xiaoyu Lian; Binbin Sang; Guoyin Wang 002; Xinbo Gao 001 (CoRR, 2025)

Picky LLMs and Unreliable RMs: An Empirical Study on Safety Alignment after Instruction Tuning. - Guanlin Li; Kangjie Chen; Shangwei Guo; Jie Zhang 073; Han Qiu 001; Chao Zhang 008; Guoyin Wang 002; Tianwei Zhang 004; Jiwei Li 001 (CoRR, 2025)

FaceID-6M: A Large-Scale, Open-Source FaceID Customization Dataset. - Shuhe Wang; Xiaoya Li 001; Jiwei Li 001; Guoyin Wang 002; Xiaofei Sun 001; Bob Zhu; Han Qiu 001; Mo Yu; Shengjie Shen; Tianwei Zhang 004; Eduard H. Hovy (CoRR, 2025)

OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use. - Xueyu Hu; Tao Xiong; Biao Yi; Zishu Wei; Ruixuan Xiao; Yurun Chen 004; Jiasheng Ye; Meiling Tao; Xiangxin Zhou; Ziyu Zhao 001; Yuhuai Li; Shengze Xu; et al. (CoRR, 2025)