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ORCIDJian Jiao 0007
Person information
- affiliation: Microsoft, Redmond, WA, USA
Other persons with the same name
- Jian Jiao — disambiguation page
- Jian Jiao 0001
![[0000-0002-7988-9820]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7988-9820")
— Harbin Institute of Technology at Shenzhen, Shenzhen, China - Jian Jiao 0002 — Peking University, Institute of Remote Sensing and Geographical Information Systems, Beijing, China
- Jian Jiao 0003 — Beihang University, Beijing Advanced Innovation Center for Biomedical Engineering, Beijing, China
- Jian Jiao 0004 — Beihang University, School of Reliability and Systems Engineering, Beijing, China
- Jian Jiao 0005 — Beijing Information Science and Technology University, Beijing, China
- Jian Jiao 0006 — Texas A&M University, College Station, TX, USA
- Jian Jiao 0008 — Shanghai Jiaotong University, Shanghai, China
- Jian Jiao 0009 — University of International Relations, School of Information Science and Technology, Beijing, China
- Jian Jiao 0010 — Tsinghua University, Department of Automation, Beijing, China
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2020 – today
- 2024
[c29]Xinyu Hu, Pengfei Tang, Simiao Zuo, Zihan Wang, Bowen Song, Qiang Lou, Jian Jiao, Denis Charles:
Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing. ICLR 2024- [c28]Shikhar Mohan, Deepak Saini, Anshul Mittal, Sayak Ray Chowdhury, Bhawna Paliwal, Jian Jiao, Manish Gupta, Manik Varma:
OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification. ICML 2024 - [c27]Sachin Yadav, Deepak Saini, Anirudh Buvanesh, Bhawna Paliwal, Kunal Dahiya, Siddarth Asokan, Yashoteja Prabhu, Jian Jiao, Manik Varma:
Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval. KDD 2024: 3657-3666 - [c26]Amit Sharma, Hua Li, Xue Li, Jian Jiao:
Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning. KDD 2024: 5669-5679 - [c25]Xingwei He, Zhenghao Lin, Yeyun Gong, A-Long Jin, Hang Zhang, Chen Lin, Jian Jiao, Siu Ming Yiu, Nan Duan, Weizhu Chen:
AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators. NAACL (Industry Track) 2024: 165-190 - [i31]Anshul Mittal, Shikhar Mohan, Deepak Saini, Suchith C. Prabhu, Jian Jiao, Sumeet Agarwal, Soumen Chakrabarti, Purushottam Kar, Manik Varma:
Graph Regularized Encoder Training for Extreme Classification. CoRR abs/2402.18434 (2024) - [i30]Zhenghao Lin, Zhibin Gou, Yeyun Gong, Xiao Liu, Yelong Shen, Ruochen Xu, Chen Lin, Yujiu Yang, Jian Jiao, Nan Duan, Weizhu Chen:
Rho-1: Not All Tokens Are What You Need. CoRR abs/2404.07965 (2024) - [i29]Ravisri Valluri, Akash Kumar Mohankumar, Kushal Dave, Amit Singh, Jian Jiao, Manik Varma, Gaurav Sinha:
Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval. CoRR abs/2406.06739 (2024) - [i28]Amit Sharma, Hua Li, Xue Li, Jian Jiao:
Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning. CoRR abs/2406.14169 (2024) - [i27]Xiao Liang, Xinyu Hu, Simiao Zuo, Yeyun Gong, Qiang Lou, Yi Liu, Shao-Lun Huang, Jian Jiao:
Task Oriented In-Domain Data Augmentation. CoRR abs/2406.16694 (2024) - [i26]Jatin Prakash, Anirudh Buvanesh, Bishal Santra, Deepak Saini, Sachin Yadav, Jian Jiao, Yashoteja Prabhu, Amit Sharma, Manik Varma:
On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification. CoRR abs/2408.09585 (2024) - [i25]Bhawna Paliwal, Deepak Saini, Mudit Dhawan, Siddarth Asokan, Nagarajan Natarajan, Surbhi Aggarwal, Pankaj Malhotra, Jian Jiao, Manik Varma:
CROSS-JEM: Accurate and Efficient Cross-encoders for Short-text Ranking Tasks. CoRR abs/2409.09795 (2024) - 2023
- [c24]Ziheng Li, Shaohan Huang, Zihan Zhang, Zhi-Hong Deng, Qiang Lou, Haizhen Huang, Jian Jiao, Furu Wei, Weiwei Deng, Qi Zhang:
Dual-Alignment Pre-training for Cross-lingual Sentence Embedding. ACL (1) 2023: 3466-3478 - [c23]Simiao Zuo, Pengfei Tang, Xinyu Hu, Qiang Lou, Jian Jiao, Denis Charles:
DeepTagger: Knowledge Enhanced Named Entity Recognition for Web-Based Ads Queries. CIKM 2023: 5002-5009 - [c22]Xingwei He, Yeyun Gong, A-Long Jin, Hang Zhang, Anlei Dong, Jian Jiao, Siu-Ming Yiu, Nan Duan:
CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion. EMNLP 2023: 10531-10541 - [c21]Kunal Dahiya, Sachin Yadav, Sushant Sondhi, Deepak Saini, Sonu Mehta, Jian Jiao, Sumeet Agarwal, Purushottam Kar, Manik Varma:
Deep Encoders with Auxiliary Parameters for Extreme Classification. KDD 2023: 358-367 - [c20]Vidit Jain, Jatin Prakash, Deepak Saini, Jian Jiao, Ramachandran Ramjee, Manik Varma:
Renee: End-To-End Training of Extreme Classification Models. MLSys 2023 - [c19]Tong Wu, Zhihao Fan, Xiao Liu, Hai-Tao Zheng, Yeyun Gong, Yelong Shen, Jian Jiao, Juntao Li, Zhongyu Wei, Jian Guo, Nan Duan, Weizhu Chen:
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation. NeurIPS 2023 - [c18]Kunal Dahiya, Nilesh Gupta, Deepak Saini, Akshay Soni, Yajun Wang, Kushal Dave, Jian Jiao, Gururaj K, Prasenjit Dey, Amit Singh, Deepesh Hada, Vidit Jain, Bhawna Paliwal, Anshul Mittal, Sonu Mehta, Ramachandran Ramjee, Sumeet Agarwal, Purushottam Kar, Manik Varma:
NGAME: Negative Mining-aware Mini-batching for Extreme Classification. WSDM 2023: 258-266 - [c17]Zhenghao Lin, Yeyun Gong, Xiao Liu, Hang Zhang, Chen Lin, Anlei Dong, Jian Jiao, Jingwen Lu, Daxin Jiang, Rangan Majumder, Nan Duan:
PROD: Progressive Distillation for Dense Retrieval. WWW 2023: 3299-3308 - [i24]Sanxing Chen, Hao Cheng, Xiaodong Liu, Jian Jiao, Yangfeng Ji, Jianfeng Gao:
Pre-training Transformers for Knowledge Graph Completion. CoRR abs/2303.15682 (2023) - [i23]Xingwei He, Zhenghao Lin, Yeyun Gong, A-Long Jin, Hang Zhang, Chen Lin, Jian Jiao, Siu Ming Yiu, Nan Duan, Weizhu Chen:
AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators. CoRR abs/2303.16854 (2023) - [i22]Ziheng Li, Shaohan Huang, Zihan Zhang, Zhi-Hong Deng, Qiang Lou, Haizhen Huang, Jian Jiao, Furu Wei, Weiwei Deng, Qi Zhang:
Dual-Alignment Pre-training for Cross-lingual Sentence Embedding. CoRR abs/2305.09148 (2023) - [i21]Tong Wu, Zhihao Fan, Xiao Liu, Yeyun Gong, Yelong Shen, Jian Jiao, Hai-Tao Zheng, Juntao Li, Zhongyu Wei, Jian Guo, Nan Duan, Weizhu Chen:
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation. CoRR abs/2305.09515 (2023) - [i20]Simiao Zuo, Pengfei Tang, Xinyu Hu, Qiang Lou, Jian Jiao, Denis Charles:
DeepTagger: Knowledge Enhanced Named Entity Recognition for Web-Based Ads Queries. CoRR abs/2306.17413 (2023) - [i19]Hong Sun, Xue Li, Yinchuan Xu, Youkow Homma, Qi Cao, Min Wu, Jian Jiao, Denis Charles:
AutoHint: Automatic Prompt Optimization with Hint Generation. CoRR abs/2307.07415 (2023) - [i18]Xinyu Hu, Pengfei Tang, Simiao Zuo, Zihan Wang, Bowen Song, Qiang Lou, Jian Jiao, Denis Charles:
Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing. CoRR abs/2310.13855 (2023) - 2022
- [c16]Xingwei He, Yeyun Gong, A-Long Jin, Weizhen Qi, Hang Zhang, Jian Jiao, Bartuer Zhou, Biao Cheng, Siu-Ming Yiu, Nan Duan:
Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning. EMNLP 2022: 839-852 - [c15]Ting Jiang, Jian Jiao, Shaohan Huang, Zihan Zhang, Deqing Wang, Fuzhen Zhuang, Furu Wei, Haizhen Huang, Denvy Deng, Qi Zhang:
PromptBERT: Improving BERT Sentence Embeddings with Prompts. EMNLP 2022: 8826-8837 - [c14]Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Jianfeng Gao, Tuo Zhao:
Taming Sparsely Activated Transformer with Stochastic Experts. ICLR 2022 - [c13]Haonan Li, Yameng Huang, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan:
CULG: Commercial Universal Language Generation. NAACL-HLT (Industry Papers) 2022: 112-120 - [i17]Weizhen Qi, Yeyun Gong, Yelong Shen, Jian Jiao, Yu Yan, Houqiang Li, Ruofei Zhang, Weizhu Chen, Nan Duan:
A Self-Paced Mixed Distillation Method for Non-Autoregressive Generation. CoRR abs/2205.11162 (2022) - [i16]Kunal Dahiya, Nilesh Gupta, Deepak Saini, Akshay Soni, Yajun Wang, Kushal Dave, Jian Jiao, Gururaj K, Prasenjit Dey, Amit Singh, Deepesh Hada, Vidit Jain, Bhawna Paliwal, Anshul Mittal, Sonu Mehta, Ramachandran Ramjee, Sumeet Agarwal, Purushottam Kar, Manik Varma:
NGAME: Negative Mining-aware Mini-batching for Extreme Classification. CoRR abs/2207.04452 (2022) - [i15]Zhenghao Lin, Yeyun Gong, Xiao Liu, Hang Zhang, Chen Lin, Anlei Dong, Jian Jiao, Jingwen Lu, Daxin Jiang, Rangan Majumder, Nan Duan:
PROD: Progressive Distillation for Dense Retrieval. CoRR abs/2209.13335 (2022) - [i14]Xingwei He, Yeyun Gong, A-Long Jin, Weizhen Qi, Hang Zhang, Jian Jiao, Bartuer Zhou, Biao Cheng, Siu-Ming Yiu, Nan Duan:
Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning. CoRR abs/2210.11708 (2022) - [i13]Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jian Jiao, Jingwen Lu, Yan Zhang, Daxin Jiang, Linjun Yang, Rangan Majumder, Nan Duan:
LEAD: Liberal Feature-based Distillation for Dense Retrieval. CoRR abs/2212.05225 (2022) - [i12]Simiao Zuo, Xiaodong Liu, Jian Jiao, Denis Charles, Eren Manavoglu, Tuo Zhao, Jianfeng Gao:
Efficient Long Sequence Modeling via State Space Augmented Transformer. CoRR abs/2212.08136 (2022) - [i11]Xingwei He, Yeyun Gong, A-Long Jin, Hang Zhang, Anlei Dong, Jian Jiao, Siu-Ming Yiu, Nan Duan:
Curriculum Sampling for Dense Retrieval with Document Expansion. CoRR abs/2212.09114 (2022) - 2021
- [c12]Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan:
GLGE: A New General Language Generation Evaluation Benchmark. ACL/IJCNLP (Findings) 2021: 408-420 - [c11]Haonan Li, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan:
KFCNet: Knowledge Filtering and Contrastive Learning for Generative Commonsense Reasoning. EMNLP (Findings) 2021: 2918-2928 - [c10]Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji:
HittER: Hierarchical Transformers for Knowledge Graph Embeddings. EMNLP (1) 2021: 10395-10407 - [c9]Kunal Dahiya, Ananye Agarwal, Deepak Saini, Gururaj K, Jian Jiao, Amit Singh, Sumeet Agarwal, Purushottam Kar, Manik Varma:
SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels. ICML 2021: 2330-2340 - [c8]Weizhen Qi, Yeyun Gong, Jian Jiao, Yu Yan, Weizhu Chen, Dayiheng Liu, Kewen Tang, Houqiang Li, Jiusheng Chen, Ruofei Zhang, Ming Zhou, Nan Duan:
BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining. ICML 2021: 8630-8639 - [c7]Zhihao Fan, Yeyun Gong, Dayiheng Liu, Zhongyu Wei, Siyuan Wang, Jian Jiao, Nan Duan, Ruofei Zhang, Xuanjing Huang:
Mask Attention Networks: Rethinking and Strengthen Transformer. NAACL-HLT 2021: 1692-1701 - [c6]Deepak Saini, Arnav Kumar Jain, Kushal Dave, Jian Jiao, Amit Singh, Ruofei Zhang, Manik Varma:
GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification. WWW 2021: 3733-3744 - [i10]Zhihao Fan, Yeyun Gong, Dayiheng Liu, Zhongyu Wei, Siyuan Wang, Jian Jiao, Nan Duan, Ruofei Zhang, Xuanjing Huang:
Mask Attention Networks: Rethinking and Strengthen Transformer. CoRR abs/2103.13597 (2021) - [i9]Haonan Li, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan:
KFCNet: Knowledge Filtering and Contrastive Learning Network for Generative Commonsense Reasoning. CoRR abs/2109.06704 (2021) - [i8]Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Tuo Zhao, Jianfeng Gao:
Taming Sparsely Activated Transformer with Stochastic Experts. CoRR abs/2110.04260 (2021) - 2020
- [c5]Wenhao Lu, Jian Jiao, Ruofei Zhang:
TwinBERT: Distilling Knowledge to Twin-Structured Compressed BERT Models for Large-Scale Retrieval. CIKM 2020: 2645-2652 - [c4]Zhihao Fan, Yeyun Gong, Zhongyu Wei, Siyuan Wang, Yameng Huang, Jian Jiao, Xuanjing Huang, Nan Duan, Ruofei Zhang:
An Enhanced Knowledge Injection Model for Commonsense Generation. COLING 2020: 2014-2025 - [c3]Weizhen Qi, Yeyun Gong, Yu Yan, Jian Jiao, Bo Shao, Ruofei Zhang, Houqiang Li, Nan Duan, Ming Zhou:
ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine. NLPCC (2) 2020: 305-317 - [i7]Wenhao Lu, Jian Jiao, Ruofei Zhang:
TwinBERT: Distilling Knowledge to Twin-Structured BERT Models for Efficient Retrieval. CoRR abs/2002.06275 (2020) - [i6]Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji:
HittER: Hierarchical Transformers for Knowledge Graph Embeddings. CoRR abs/2008.12813 (2020) - [i5]Weizhen Qi, Yeyun Gong, Yu Yan, Jian Jiao, Bo Shao, Ruofei Zhang, Houqiang Li, Nan Duan, Ming Zhou:
ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine. CoRR abs/2010.10789 (2020) - [i4]Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan:
GLGE: A New General Language Generation Evaluation Benchmark. CoRR abs/2011.11928 (2020) - [i3]Zhihao Fan, Yeyun Gong, Zhongyu Wei, Siyuan Wang, Yameng Huang, Jian Jiao, Xuanjing Huang, Nan Duan, Ruofei Zhang:
An Enhanced Knowledge Injection Model for Commonsense Generation. CoRR abs/2012.00366 (2020) - [i2]Weizhen Qi, Yeyun Gong, Jian Jiao, Yu Yan, Dayiheng Liu, Weizhu Chen, Kewen Tang, Houqiang Li, Jiusheng Chen, Ruofei Zhang, Ming Zhou, Nan Duan:
BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining. CoRR abs/2012.15525 (2020)
2010 – 2019
- 2018
- [c2]Ying Shan, Jian Jiao, Jie Zhu, J. C. Mao:
Recurrent Binary Embedding for GPU-Enabled Exhaustive Retrieval from Billion-Scale Semantic Vectors. KDD 2018: 2170-2179 - [i1]Ying Shan, Jian Jiao, Jie Zhu, J. C. Mao:
Recurrent Binary Embedding for GPU-Enabled Exhaustive Retrieval from Billion-Scale Semantic Vectors. CoRR abs/1802.06466 (2018) - 2016
- [c1]Ying Shan, T. Ryan Hoens, Jian Jiao, Haijing Wang, Dong Yu, J. C. Mao:
Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features. KDD 2016: 255-262
Coauthor Index
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