Guoyin Wang - RankMe

100 papers A* 11A 4B 1C 1Misc 1Journal 58Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Instruction Tuning for Large Language Models: A Survey. ACM Comput. Surv. Shengyu Zhang, Linfeng Dong, Xiaoya Li, Sen Zhang, Xiaofei Sun, Shuhe Wang, Jiwei Li, Runyi Hu, Tianwei Zhang, Guoyin Wang, Fei Wu
2025	J	`jnl`	FaceID-6M: A Large-Scale, Open-Source FaceID Customization Dataset. CoRR Shuhe Wang, Xiaoya Li, Jiwei Li, Guoyin Wang, Xiaofei Sun, Bob Zhu, Han Qiu, Mo Yu, Shengjie Shen, Tianwei Zhang, Eduard H. Hovy
2025	J	`jnl`	GBFRS: Robust Fuzzy Rough Sets via Granular-ball Computing. CoRR Shuyin Xia, Xiaoyu Lian, Binbin Sang, Guoyin Wang, Xinbo Gao
2025	—	`conf`	GPT-NER: Named Entity Recognition via Large Language Models. NAACL (Findings) Shuhe Wang, Xiaofei Sun, Xiaoya Li, Rongbin Ouyang, Fei Wu, Tianwei Zhang, Jiwei Li, Guoyin Wang, Chen Guo
2025	—	`conf`	OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use. ACL (1) Xueyu Hu, Tao Xiong, Biao Yi, Zishu Wei, Ruixuan Xiao, Yurun Chen, Jiasheng Ye, Meiling Tao, Xiangxin Zhou, Ziyu Zhao, Yuhuai Li, Shengze Xu, Shenzhi Wang, Xinchen Xu, Shuofei Qiao, Zhaokai Wang, Kun Kuang, Tieyong Zeng, Liang Wang, Jiwei Li, Yuchen Eleanor Jiang, Wangchunshu Zhou, Guoyin Wang, Keting Yin, Zhou Zhao, Hongxia Yang, Fan Wu, Shengyu Zhang, Fei Wu
2025	J	`jnl`	OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use. CoRR Xueyu Hu, Tao Xiong, Biao Yi, Zishu Wei, Ruixuan Xiao, Yurun Chen, Jiasheng Ye, Meiling Tao, Xiangxin Zhou, Ziyu Zhao, Yuhuai Li, Shengze Xu, Shenzhi Wang, Xinchen Xu, Shuofei Qiao, Zhaokai Wang, Kun Kuang, Tieyong Zeng, Liang Wang, Jiwei Li, Yuchen Eleanor Jiang, Wangchunshu Zhou, Guoyin Wang, Keting Yin, Zhou Zhao, Hongxia Yang, Fan Wu, Shengyu Zhang, Fei Wu
2025	—	`conf`	Packing Analysis: Packing Is More Appropriate for Large Models or Datasets in Supervised Fine-tuning. ACL (Findings) Shuhe Wang, Guoyin Wang, Yizhong Wang, Jiwei Li, Eduard H. Hovy, Chen Guo
2025	J	`jnl`	Picky LLMs and Unreliable RMs: An Empirical Study on Safety Alignment after Instruction Tuning. CoRR Guanlin Li, Kangjie Chen, Shangwei Guo, Jie Zhang, Han Qiu, Chao Zhang, Guoyin Wang, Tianwei Zhang, Jiwei Li
2025	J	`jnl`	Turn That Frown Upside Down: FaceID Customization via Cross-Training Data. CoRR Shuhe Wang, Xiaoya Li, Xiaofei Sun, Guoyin Wang, Tianwei Zhang, Jiwei Li, Eduard H. Hovy
2024	—	`conf`	An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing. ACL (1) Ziwei Chai, Guoyin Wang, Jing Su, Tianjie Zhang, Xuanwen Huang, Xuwu Wang, Jingjing Xu, Jianbo Yuan, Hongxia Yang, Fei Wu, Yang Yang
2024	J	`jnl`	An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing. CoRR Ziwei Chai, Guoyin Wang, Jing Su, Tianjie Zhang, Xuanwen Huang, Xuwu Wang, Jingjing Xu, Jianbo Yuan, Hongxia Yang, Fei Wu, Yang Yang
2024	A*	`conf`	Are Human-generated Demonstrations Necessary for In-context Learning? ICLR Rui Li, Guoyin Wang, Jiwei Li
2024	J	`jnl`	BabelBench: An Omni Benchmark for Code-Driven Analysis of Multimodal and Multistructured Data. CoRR Xuwu Wang, Qiwen Cui, Yunzhe Tao, Yiran Wang, Ziwei Chai, Xiaotian Han, Boyi Liu, Jianbo Yuan, Jing Su, Guoyin Wang, Tingkai Liu, Liyu Chen, Tianyi Liu, Tao Sun, Yufeng Zhang, Sirui Zheng, Quanzeng You, Yang Yang, Hongxia Yang
2024	J	`jnl`	Empowering Large Language Model Agents through Action Learning. CoRR Haiteng Zhao, Chang Ma, Guoyin Wang, Jing Su, Lingpeng Kong, Jingjing Xu, Zhi-Hong Deng, Hongxia Yang
2024	A*	`conf`	InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks. ICML Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Qianli Ma, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Jiwei Li, Kun Kuang, Yang Yang, Hongxia Yang, Fei Wu
2024	J	`jnl`	InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks. CoRR Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Kun Kuang, Yang Yang, Hongxia Yang, Fei Wu
2024	—	`conf`	LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild. ACL (Findings) Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu
2024	J	`jnl`	LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild. CoRR Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu
2024	J	`jnl`	Packing Analysis: Packing Is More Appropriate for Large Models or Datasets in Supervised Fine-tuning. CoRR Shuhe Wang, Guoyin Wang, Jiwei Li, Eduard H. Hovy, Chen Guo
2024	J	`jnl`	Reinforcement Learning Enhanced LLMs: A Survey. CoRR Shuhe Wang, Shengyu Zhang, Jie Zhang, Runyi Hu, Xiaoya Li, Tianwei Zhang, Jiwei Li, Fei Wu, Guoyin Wang, Eduard H. Hovy
2024	J	`jnl`	Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learning. CoRR Ziyu Zhao, Leilei Gan, Guoyin Wang, Yuwei Hu, Tao Shen, Hongxia Yang, Kun Kuang, Fei Wu
2024	J	`jnl`	Similarity-based Neighbor Selection for Graph LLMs. CoRR Rui Li, Jiwei Li, Jiawei Han, Guoyin Wang
2024	Misc	`conf`	Towards Building The Federatedgpt: Federated Instruction Tuning. ICASSP Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Tong Yu, Guoyin Wang, Yiran Chen
2023	J	`jnl`	Are Human-generated Demonstrations Necessary for In-context Learning? CoRR Rui Li, Guoyin Wang, Jiwei Li
2023	—	`conf`	GNN-SL: Sequence Labeling Based on Nearest Examples via GNN. ACL (Findings) Shuhe Wang, Yuxian Meng, Rongbin Ouyang, Jiwei Li, Tianwei Zhang, Lingjuan Lyu, Guoyin Wang
2023	J	`jnl`	GPT-NER: Named Entity Recognition via Large Language Models. CoRR Shuhe Wang, Xiaofei Sun, Xiaoya Li, Rongbin Ouyang, Fei Wu, Tianwei Zhang, Jiwei Li, Guoyin Wang
2023	J	`jnl`	Instruction Tuning for Large Language Models: A Survey. CoRR Shengyu Zhang, Linfeng Dong, Xiaoya Li, Sen Zhang, Xiaofei Sun, Shuhe Wang, Jiwei Li, Runyi Hu, Tianwei Zhang, Fei Wu, Guoyin Wang
2023	J	`jnl`	Open World Classification with Adaptive Negative Samples. CoRR Ke Bai, Guoyin Wang, Jiwei Li, Sunghyun Park, Sungjin Lee, Puyang Xu, Ricardo Henao, Lawrence Carin
2023	A*	`conf`	OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding. EMNLP Zhan Shi, Guoyin Wang, Ke Bai, Jiwei Li, Xiang Li, Qingjun Cui, Belinda Zeng, Trishul Chilimbi, Xiaodan Zhu
2023	J	`jnl`	PK-ICR: Persona-Knowledge Interactive Context Retrieval for Grounded Dialogue. CoRR Minsik Oh, Joosung Lee, Jiwei Li, Guoyin Wang
2023	J	`jnl`	Pushing the Limits of ChatGPT on NLP Tasks. CoRR Xiaofei Sun, Linfeng Dong, Xiaoya Li, Zhen Wan, Shuhe Wang, Tianwei Zhang, Jiwei Li, Fei Cheng, Lingjuan Lyu, Fei Wu, Guoyin Wang
2023	—	`conf`	Ranking-Enhanced Unsupervised Sentence Representation Learning. ACL (1) Yeon Seonwoo, Guoyin Wang, Changmin Seo, Sajal Choudhary, Jiwei Li, Xiang Li, Puyang Xu, Sunghyun Park, Alice Oh
2023	—	`conf`	ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models. ACL (2) Jianyi Zhang, Aashiq Muhamed, Aditya Anantharaman, Guoyin Wang, Changyou Chen, Kai Zhong, Qingjun Cui, Yi Xu, Belinda Zeng, Trishul Chilimbi, Yiran Chen
2023	J	`jnl`	Sentiment Analysis through LLM Negotiations. CoRR Xiaofei Sun, Xiaoya Li, Shengyu Zhang, Shuhe Wang, Fei Wu, Jiwei Li, Tianwei Zhang, Guoyin Wang
2023	J	`jnl`	Sim-GPT: Text Similarity via GPT Annotated Data. CoRR Shuhe Wang, Beiming Cao, Shengyu Zhang, Xiaoya Li, Jiwei Li, Fei Wu, Guoyin Wang, Eduard H. Hovy
2023	J	`jnl`	TaDSE: Template-aware Dialogue Sentence Embeddings. CoRR Minsik Oh, Jiwei Li, Guoyin Wang
2023	—	`conf`	Text Classification via Large Language Models. EMNLP (Findings) Xiaofei Sun, Xiaoya Li, Jiwei Li, Fei Wu, Shangwei Guo, Tianwei Zhang, Guoyin Wang
2023	J	`jnl`	Text Classification via Large Language Models. CoRR Xiaofei Sun, Xiaoya Li, Jiwei Li, Fei Wu, Shangwei Guo, Tianwei Zhang, Guoyin Wang
2023	J	`jnl`	Towards Building the Federated GPT: Federated Instruction Tuning. CoRR Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Guoyin Wang, Yiran Chen
2022	B	`conf`	An MRC Framework for Semantic Role Labeling. COLING Nan Wang, Jiwei Li, Yuxian Meng, Xiaofei Sun, Han Qiu, Ziyao Wang, Guoyin Wang, Jun He
2022	J	`jnl`	GNN-SL: Sequence Labeling Based on Nearest Examples via GNN. CoRR Shuhe Wang, Yuxian Meng, Rongbin Ouyang, Jiwei Li, Tianwei Zhang, Lingjuan Lyu, Guoyin Wang
2022	A	`conf`	Improving Downstream Task Performance by Treating Numbers as Entities. CIKM Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin
2022	J	`jnl`	Learning Personalized Representations using Graph Convolutional Network. CoRR Hongyu Shen, Jinoh Oh, Shuai Zhao, Guoyin Wang, Tara Taghavi, Sungjin Lee
2022	J	`jnl`	Number Entity Recognition. CoRR Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin
2022	A*	`conf`	Open World Classification with Adaptive Negative Samples. EMNLP Ke Bai, Guoyin Wang, Jiwei Li, Sunghyun Park, Sungjin Lee, Puyang Xu, Ricardo Henao, Lawrence Carin
2022	J	`jnl`	Ranking-Enhanced Unsupervised Sentence Representation Learning. CoRR Yeon Seonwoo, Guoyin Wang, Changmin Seo, Sajal Choudhary, Jiwei Li, Xiang Li, Puyang Xu, Sunghyun Park, Alice Oh
2022	J	`jnl`	kNN-NER: Named Entity Recognition with Nearest Neighbor Search. CoRR Shuhe Wang, Xiaoya Li, Yuxian Meng, Tianwei Zhang, Rongbin Ouyang, Jiwei Li, Guoyin Wang
2021	J	`jnl`	AUGNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation. CoRR Xinnuo Xu, Guoyin Wang, Young-Bum Kim, Sungjin Lee
2021	—	`conf`	AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation. ACL/IJCNLP (1) Xinnuo Xu, Guoyin Wang, Young-Bum Kim, Sungjin Lee
2021	C	`conf`	Deciding Whether to Ask Clarifying Questions in Large-Scale Spoken Language Understanding. ASRU Joo-Kyung Kim, Guoyin Wang, Sungjin Lee, Young-Bum Kim
2021	J	`jnl`	Deciding Whether to Ask Clarifying Questions in Large-Scale Spoken Language Understanding. CoRR Joo-Kyung Kim, Guoyin Wang, Sungjin Lee, Young-Bum Kim
2021	J	`jnl`	Faster Nearest Neighbor Machine Translation. CoRR Shuhe Wang, Jiwei Li, Yuxian Meng, Rongbin Ouyang, Guoyin Wang, Xiaoya Li, Tianwei Zhang, Shi Zong
2021	J	`jnl`	Interpreting Deep Learning Models in Natural Language Processing: A Review. CoRR Xiaofei Sun, Diyi Yang, Xiaoya Li, Tianwei Zhang, Yuxian Meng, Han Qiu, Guoyin Wang, Eduard H. Hovy, Jiwei Li
2021	J	`jnl`	Local PM2.5 Hotspot Detector at 300 m Resolution: A Random Forest-Convolutional Neural Network Joint Model Jointly Trained on Satellite Images and Meteorology. Remote. Sens. Tongshu Zheng, Michael Bergin, Guoyin Wang, David E. Carlson
2021	—	`conf`	Syntactic Knowledge-Infused Transformer and BERT Models. CIKM Workshops Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin
2021	A	`conf`	Zero-Shot Recognition via Optimal Transport. WACV Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin
2020	A	`conf`	Advancing weakly supervised cross-domain alignment with optimal transport. BMVC Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin
2020	—	`—`	Applications of Deep Representation Learning to Natural Language Processing and Satellite Imagery. Guoyin Wang
2020	A*	`conf`	Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. AAAI Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin
2020	A*	`conf`	Improving Adversarial Text Generation by Modeling the Distant Future. ACL Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin
2020	J	`jnl`	Improving Adversarial Text Generation by Modeling the Distant Future. CoRR Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin
2020	—	`conf`	Improving Text Generation with Student-Forcing Optimal Transport. EMNLP (1) Jianqiao Li, Chunyuan Li, Guoyin Wang, Hao Fu, Yuh-Chen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang, Lawrence Carin
2020	J	`jnl`	Improving Text Generation with Student-Forcing Optimal Transport. CoRR Guoyin Wang, Chunyuan Li, Jianqiao Li, Hao Fu, Yuh-Chen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang, Lawrence Carin
2020	—	`conf`	Integrating Task Specific Information into Pretrained Language Models for Low Resource Fine Tuning. EMNLP (Findings) Rui Wang, Shijing Si, Guoyin Wang, Lei Zhang, Lawrence Carin, Ricardo Henao
2020	—	`conf`	Methods for Numeracy-Preserving Word Embeddings. EMNLP (1) Dhanasekar Sundararaman, Shijing Si, Vivek Subramanian, Guoyin Wang, Devamanyu Hazarika, Lawrence Carin
2020	—	`conf`	POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training. EMNLP (1) Yizhe Zhang, Guoyin Wang, Chunyuan Li, Zhe Gan, Chris Brockett, Bill Dolan
2020	J	`jnl`	POINTER: Constrained Text Generation via Insertion-based Generative Pre-training. CoRR Yizhe Zhang, Guoyin Wang, Chunyuan Li, Zhe Gan, Chris Brockett, Bill Dolan
2020	A*	`conf`	Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning. AAAI Liqun Chen, Ke Bai, Chenyang Tao, Yizhe Zhang, Guoyin Wang, Wenlin Wang, Ricardo Henao, Lawrence Carin
2020	—	`conf`	Students Need More Attention: BERT-based Attention Model for Small Data with Application to Automatic Patient Message Triage. MLHC Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Lawrence Carin
2020	J	`jnl`	Students Need More Attention: BERT-based AttentionModel for Small Data with Application to AutomaticPatient Message Triage. CoRR Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Ricardo Henao, Lawrence Carin
2020	J	`jnl`	Weakly supervised cross-domain alignment with optimal transport. CoRR Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin
2019	A	`conf`	Adversarial Learning of a Sampler Based on an Unnormalized Distribution. AISTATS Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin
2019	J	`jnl`	Adversarial Learning of a Sampler Based on an Unnormalized Distribution. CoRR Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin
2019	—	`conf`	An End-to-End Generative Architecture for Paraphrase Generation. EMNLP/IJCNLP (1) Qian Yang, Zhouyuan Huo, Dinghan Shen, Yong Cheng, Wenlin Wang, Guoyin Wang, Lawrence Carin
2019	J	`jnl`	An Optimal Transport Framework for Zero-Shot Learning. CoRR Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin
2019	J	`jnl`	Discriminative Clustering for Robust Unsupervised Domain Adaptation. CoRR Rui Wang, Guoyin Wang, Ricardo Henao
2019	J	`jnl`	Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. CoRR Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin
2019	—	`conf`	Improving Textual Network Embedding with Global Attention via Optimal Transport. ACL (1) Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin
2019	J	`jnl`	Improving Textual Network Embedding with Global Attention via Optimal Transport. CoRR Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin
2019	A*	`conf`	Improving Textual Network Learning with Variational Homophilic Embeddings. NeurIPS Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin
2019	J	`jnl`	Improving Textual Network Learning with Variational Homophilic Embeddings. CoRR Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin
2019	A*	`conf`	Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods. NeurIPS Kevin J. Liang, Guoyin Wang, Yitong Li, Ricardo Henao, Lawrence Carin
2019	J	`jnl`	Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods. CoRR Kevin J. Liang, Guoyin Wang, Yitong Li, Ricardo Henao, Lawrence Carin
2019	J	`jnl`	Learning Word Embeddings with Domain Awareness. CoRR Guoyin Wang, Yan Song, Yue Zhang, Dong Yu
2019	J	`jnl`	Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding. CoRR Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin
2019	—	`conf`	Topic-Guided Variational Auto-Encoder for Text Generation. NAACL-HLT (1) Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin
2019	J	`jnl`	Topic-Guided Variational Autoencoders for Text Generation. CoRR Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin
2018	A*	`conf`	Adversarial Text Generation via Feature-Mover's Distance. NeurIPS Liqun Chen, Shuyang Dai, Chenyang Tao, Haichao Zhang, Zhe Gan, Dinghan Shen, Yizhe Zhang, Guoyin Wang, Ruiyi Zhang, Lawrence Carin
2018	—	`conf`	Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. ACL (1) Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin
2018	J	`jnl`	Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. CoRR Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin
2018	J	`jnl`	Generative Adversarial Network Training is a Continual Learning Problem. CoRR Kevin J. Liang, Chunyuan Li, Guoyin Wang, Lawrence Carin
2018	—	`conf`	Joint Embedding of Words and Labels for Text Classification. ACL (1) Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin
2018	J	`jnl`	Joint Embedding of Words and Labels for Text Classification. CoRR Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin
2018	A*	`conf`	JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets. ICML Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin
2018	J	`jnl`	JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets. CoRR Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin
2018	—	`conf`	NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. ACL (1) Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Ricardo Henao, Lawrence Carin
2018	J	`jnl`	NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. CoRR Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao
2018	J	`jnl`	Sequence Generation with Guider Network. CoRR Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Liqun Chen, Dinghan Shen, Guoyin Wang, Lawrence Carin
2017	—	`conf`	Deconvolutional Paragraph Representation Learning. NIPS Yizhe Zhang, Dinghan Shen, Guoyin Wang, Zhe Gan, Ricardo Henao, Lawrence Carin
2017	J	`jnl`	Deconvolutional Paragraph Representation Learning. CoRR Yizhe Zhang, Dinghan Shen, Guoyin Wang, Zhe Gan, Ricardo Henao, Lawrence Carin