SAE: social analytic engine for large networks. - Yang Yang 009; Jianfei Wang; Yutao Zhang; Wei Chen 013; Jing Zhang 001; Honglei Zhuang; Zhilin Yang 001; Bo Ma; Zhanpeng Fang; Sen Wu 001; Xiaoxiao Li; Debing Liu; et al. (KDD, 2013)

Active Learning for Streaming Networked Data. - Zhilin Yang 001; Jie Tang 001; Yutao Zhang (CIKM, 2014)

Active learning for networked data based on non-progressive diffusion model. - Zhilin Yang 001; Jie Tang 001; Bin Xu 001; Chunxiao Xing (WSDM, 2014)

COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency. - Yutao Zhang; Jie Tang 001; Zhilin Yang 001; Jian Pei 001; Philip S. Yu (KDD, 2015)

Multi-Source Bayesian Embeddings for Learning Social Knowledge Graphs. - Zhilin Yang 001; Jie Tang 001 (CoRR, 2015)

Revisiting Semi-Supervised Learning with Graph Embeddings. - Zhilin Yang 001; William W. Cohen; Ruslan Salakhutdinov (ICML, 2016)

Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs. - Zhilin Yang 001; Jie Tang 001; William W. Cohen (IJCAI, 2016)

Review Networks for Caption Generation. - Zhilin Yang 001; Ye Yuan; Yuexin Wu; William W. Cohen; Ruslan Salakhutdinov (NIPS, 2016)

Multi-Task Cross-Lingual Sequence Tagging from Scratch. - Zhilin Yang 001; Ruslan Salakhutdinov; William W. Cohen (CoRR, 2016)

Encode, Review, and Decode: Reviewer Module for Caption Generation. - Zhilin Yang 001; Ye Yuan; Yuexin Wu; Ruslan Salakhutdinov; William W. Cohen (CoRR, 2016)

Gated-Attention Readers for Text Comprehension. - Bhuwan Dhingra; Hanxiao Liu; Zhilin Yang 001; William W. Cohen; Ruslan Salakhutdinov (ACL (1), 2017)

Semi-Supervised QA with Generative Domain-Adaptive Nets. - Zhilin Yang 001; Junjie Hu 001; Ruslan Salakhutdinov; William W. Cohen (ACL (1), 2017)

Words or Characters? Fine-grained Gating for Reading Comprehension. - Zhilin Yang 001; Bhuwan Dhingra; Ye Yuan; Junjie Hu 001; William W. Cohen; Ruslan Salakhutdinov (ICLR (Poster), 2017)

Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks. - Zhilin Yang 001; Ruslan Salakhutdinov; William W. Cohen (ICLR (Poster), 2017)

Good Semi-supervised Learning That Requires a Bad GAN. - Zihang Dai; Zhilin Yang 001; Fan Yang 058; William W. Cohen; Ruslan Salakhutdinov (NIPS, 2017)

Differentiable Learning of Logical Rules for Knowledge Base Reasoning. - Fan Yang 058; Zhilin Yang 001; William W. Cohen (NIPS, 2017)

Linguistic Knowledge as Memory for Recurrent Neural Networks. - Bhuwan Dhingra; Zhilin Yang 001; William W. Cohen; Ruslan Salakhutdinov (CoRR, 2017)

A Probabilistic Framework for Location Inference from Social Media. - Yujie Qian; Jie Tang 001; Zhilin Yang 001; Binxuan Huang; Wei Wei 019; Kathleen M. Carley (CoRR, 2017)

Differentiable Learning of Logical Rules for Knowledge Base Completion. - Fan Yang 058; Zhilin Yang 001; William W. Cohen (CoRR, 2017)

Neural Cross-lingual Named Entity Recognition with Minimal Resources. - Jiateng Xie; Zhilin Yang 001; Graham Neubig; Noah A. Smith; Jaime G. Carbonell (EMNLP, 2018)

HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. - Zhilin Yang 001; Peng Qi 003; Saizheng Zhang; Yoshua Bengio; William W. Cohen; Ruslan Salakhutdinov; Christopher D. Manning (EMNLP, 2018)

Breaking the Softmax Bottleneck: A High-Rank RNN Language Model. - Zhilin Yang 001; Zihang Dai; Ruslan Salakhutdinov; William W. Cohen (ICLR, 2018)

Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent. - Zhilin Yang 001; Saizheng Zhang; Jack Urbanek; Will Feng; Alexander H. Miller; Arthur Szlam; Douwe Kiela; Jason Weston (ICLR (Poster), 2018)

Neural Models for Reasoning over Multiple Mentions Using Coreference. - Bhuwan Dhingra; Qiao Jin 001; Zhilin Yang 001; William W. Cohen; Ruslan Salakhutdinov (NAACL-HLT (2), 2018)

GLoMo: Unsupervised Learning of Transferable Relational Graphs. - Zhilin Yang 001; Junbo Jake Zhao; Bhuwan Dhingra; Kaiming He; William W. Cohen; Ruslan Salakhutdinov; Yann LeCun (NeurIPS, 2018)

GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations. - Zhilin Yang 001; Junbo Jake Zhao; Bhuwan Dhingra; Kaiming He; William W. Cohen; Ruslan Salakhutdinov; Yann LeCun (CoRR, 2018)

Transformer-XL: Attentive Language Models beyond a Fixed-Length Context. - Zihang Dai; Zhilin Yang 001; Yiming Yang; Jaime G. Carbonell; Quoc Viet Le; Ruslan Salakhutdinov (ACL (1), 2019)

XLNet: Generalized Autoregressive Pretraining for Language Understanding. - Zhilin Yang 001; Zihang Dai; Yiming Yang; Jaime G. Carbonell; Ruslan Salakhutdinov; Quoc V. Le (NeurIPS, 2019)

Mixtape: Breaking the Softmax Bottleneck Efficiently. - Zhilin Yang 001; Thang Luong; Ruslan Salakhutdinov; Quoc V. Le (NeurIPS, 2019)

The International Workshop on Pretraining: Algorithms, Architectures, and Applications ([email protected] 2021). - Ming Ding 004; Yuxiao Dong; Xiao Liu 036; Jiezhong Qiu; Jie Tang 001; Zhilin Yang 001 (KDD, 2021)

Controllable Generation from Pre-trained Language Models via Inverse Prompting. - Xu Zou 001; Da Yin; Qingyang Zhong; Hongxia Yang; Zhilin Yang 001; Jie Tang 001 (KDD, 2021)

WuDaoCorpora: A super large-scale Chinese corpora for pre-training language models. - Sha Yuan; Hanyu Zhao; Zhengxiao Du; Ming Ding 004; Xiao Liu 036; Yukuo Cen; Xu Zou 001; Zhilin Yang 001; Jie Tang 001 (AI Open, 2021)

All NLP Tasks Are Generation Tasks: A General Pretraining Framework. - Zhengxiao Du; Yujie Qian; Xiao Liu 036; Ming Ding 004; Jiezhong Qiu; Zhilin Yang 001; Jie Tang 001 (CoRR, 2021)

FastMoE: A Fast Mixture-of-Expert Training System. - Jiaao He; Jiezhong Qiu; Aohan Zeng; Zhilin Yang 001; Jidong Zhai; Jie Tang 001 (CoRR, 2021)

FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning. - Jing Zhou; Yanan Zheng; Jie Tang 001; Jian Li 015; Zhilin Yang 001 (CoRR, 2021)

FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding. - Yanan Zheng; Jing Zhou; Yujie Qian; Ming Ding 004; Jian Li 015; Ruslan Salakhutdinov; Jie Tang 001; Sebastian Ruder; Zhilin Yang 001 (CoRR, 2021)

P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks. - Xiao Liu 036; Kaixuan Ji; Yicheng Fu; Zhengxiao Du; Zhilin Yang 001; Jie Tang 001 (CoRR, 2021)

GLM: General Language Model Pretraining with Autoregressive Blank Infilling. - Zhengxiao Du; Yujie Qian; Xiao Liu 036; Ming Ding 004; Jiezhong Qiu; Zhilin Yang 001; Jie Tang 001 (ACL (1), 2022)

P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks. - Xiao Liu 036; Kaixuan Ji; Yicheng Fu; Weng Tam; Zhengxiao Du; Zhilin Yang 001; Jie Tang 001 (ACL (2), 2022)

FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding. - Yanan Zheng; Jing Zhou; Yujie Qian; Ming Ding 004; Chonghua Liao; Li Jian; Ruslan Salakhutdinov; Jie Tang 001; Sebastian Ruder; Zhilin Yang 001 (ACL (1), 2022)

FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning. - Jing Zhou; Yanan Zheng; Jie Tang 001; Li Jian; Zhilin Yang 001 (ACL (1), 2022)

Learning to Detect Noisy Labels Using Model-Based Features. - Zhihao Wang; Zongyu Lin; Junjie Wen; Xianxin Chen; Peiqi Liu; Guidong Zheng; Yujun Chen; Zhilin Yang 001 (EMNLP (Findings), 2022)

NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework. - Xingcheng Yao; Yanan Zheng; Xiaocong Yang; Zhilin Yang 001 (ICML, 2022)

Zero-Label Prompt Selection. - Chonghua Liao; Yanan Zheng; Zhilin Yang 001 (CoRR, 2022)

Prompt-Based Metric Learning for Few-Shot NER. - Yanru Chen; Yanan Zheng; Zhilin Yang 001 (ACL (Findings), 2023)

A Universal Discriminator for Zero-Shot Generalization. - Haike Xu; Zongyu Lin; Jing Zhou; Yanan Zheng; Zhilin Yang 001 (ACL (1), 2023)

Compositional Task Representations for Large Language Models. - Nan Shao; Zefan Cai; Hanwei Xu; Chonghua Liao; Yanan Zheng; Zhilin Yang 001 (ICLR, 2023)

Not All Tasks Are Born Equal: Understanding Zero-Shot Generalization. - Jing Zhou; Zongyu Lin; Yanan Zheng; Jian Li 015; Zhilin Yang 001 (ICLR, 2023)

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X. - Qinkai Zheng; Xiao Xia; Xu Zou 001; Yuxiao Dong; Shan Wang; Yufei Xue; Lei Shen 002; Zihan Wang; Andi Wang 003; Yang Li 074; Teng Su; Zhilin Yang 001; et al. (KDD, 2023)

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Evaluations on HumanEval-X. - Qinkai Zheng; Xiao Xia; Xu Zou 001; Yuxiao Dong; Shan Wang; Yufei Xue; Zihan Wang; Lei Shen 002; Andi Wang 003; Yang Li 074; Teng Su; Zhilin Yang 001; et al. (CoRR, 2023)

GPT understands, too. - Xiao Liu 036; Yanan Zheng; Zhengxiao Du; Ming Ding 004; Yujie Qian; Zhilin Yang 001; Jie Tang 001 (AI Open, 2024)