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ORCIDJing Jiang 0001
Person information
- affiliation: Singapore Management University, School of Information Systems, Singapore
- affiliation (PhD 2008): University of Illinois at Urbana-Champaign, IL, USA
Other persons with the same name
- Jing Jiang — disambiguation page
- Jing Jiang 0002
![[0000-0001-5301-7779]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-5301-7779")
— University of Technology Sydney, Australia - Jing Jiang 0003 — Guangxi Normal University, Guilin, China
- Jing Jiang 0004 — Northumbria University, UK (and 2 more)
- Jing Jiang 0005 — Beihang University, State Key Laboratory of Software Development Environment, Beijing, China (and 1 more)
- Jing Jiang 0006 — Texas Instruments Inc., USA (and 1 more)
- Jing Jiang 0007 — University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Jing Jiang 0008 — China Agricultural University, Beijing, China
- Jing Jiang 0009 — Hangzhou Dianzi University, Hangzhou, China
- Jing Jiang 0010 — Texas A&M University, College Station, TX, USA
- Jing Jiang 0011 — Auckland University of Technology, New Zealand
- Jing Jiang 0012 — Qualcomm Technologies, Inc., Beijing, China
- Jing Jiang 0014 — Wayne State University, Detroit, MI, USA
- Jing Jiang 0015 — Air Force Early Warning Academy, Wuhan, Hubei, China
- Jing Jiang 0016 — Qilu Normal University, Jinan, China
- Jing Jiang 0017 — China University of Mining Technology, Beijing, China (and 1 more)
- Jing Jiang 0019 — Nanjing University of Posts and Telecommunications, China
- Jing Jiang 0020 — NPC Beijing Richfit Information Technology Co., Ltd., Beijing, China
- Jing Jiang 0021 — Jiangsu University, Zhenjiang, China (and 1 more)
- Jing Jiang 0022 — Chongqing University of Arts and Sciences, China
- Jing Jiang 0023 — Shanghai Jiao Tong University, Shanghai, China
- Jing Jiang 0024 — Wuhan University of Technology, Wuhan, Hubei, China
- Jing Jiang 0025 — Bank of Communications, Shanghai, China
- Jing Jiang 0026 — Xi'an University of Posts and Telecommunications, Xi'an, Shaanxi, China
- Jin Jiang 0001 (aka: Jing Jiang 0027) — University of Western Ontario, Department of Electrical and Computer Engineering, London, ON, Canada (and 1 more)
- Jing Jiang 0028 — Northeastern University, Shenyang, China
- Jing Jiang 0029 — Stanford University, CA, USA
- Jing Jiang 0030 — State Power Economic Research Institute of State Grid Corporation of China, Beijing, China
- Jing Jiang 0031 — LifeFoundry Inc., Champaign, IL, USA (and 1 more)
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2020 – today
- 2025
[e10]Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma:
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15387, Springer 2025, ISBN 978-981-96-0810-2 [contents]- [e9]Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma:
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15388, Springer 2025, ISBN 978-981-96-0813-3 [contents] - [e8]Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma:
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part III. Lecture Notes in Computer Science 15389, Springer 2025, ISBN 978-981-96-0820-1 [contents] - [e7]Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma:
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 15390, Springer 2025, ISBN 978-981-96-0839-3 [contents] - [e6]Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma:
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part V. Lecture Notes in Computer Science 15391, Springer 2025, ISBN 978-981-96-0846-1 [contents] - [e5]Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma:
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 15392, Springer 2025, ISBN 978-981-96-0849-2 [contents] - [i42]Yizhe Yang, Palakorn Achananuparp, Heyan Huang, Jing Jiang, John Pinto, Jenny Giam, Kit Phey Leng, Nicholas Gabriel Lim, Cameron Tan Shi Ern, Ee-Peng Lim:
Consistent Client Simulation for Motivational Interviewing-based Counseling. CoRR abs/2502.02802 (2025) - [i41]Yizhe Yang, Palakorn Achananuparp, Heyan Huang, Jing Jiang, Kit Phey Leng, Nicholas Gabriel Lim, Cameron Tan Shi Ern, Ee-Peng Lim:
CAMI: A Counselor Agent Supporting Motivational Interviewing through State Inference and Topic Exploration. CoRR abs/2502.02807 (2025) - 2024
- [c117]Yizhe Yang, Palakorn Achananuparp, Heyan Huang, Jing Jiang, Ee-Peng Lim:
Speaker Verification in Agent-generated Conversations. ACL (1) 2024: 5655-5676 - [c116]Jinggui Liang, Lizi Liao, Hao Fei, Jing Jiang:
Synergizing Large Language Models and Pre-Trained Smaller Models for Conversational Intent Discovery. ACL (Findings) 2024: 14133-14147 - [c115]Rui Cao, Jing Jiang:
Knowledge Generation for Zero-shot Knowledge-based VQA. EACL (Findings) 2024: 533-549 - [c114]Cunxiao Du, Hao Zhou, Zhaopeng Tu, Jing Jiang:
Revisiting the Markov Property for Machine Translation. EACL (Findings) 2024: 582-588 - [c113]Xiaosen Zheng, Tianyu Pang, Chao Du, Jing Jiang, Min Lin:
Intriguing Properties of Data Attribution on Diffusion Models. ICLR 2024 - [c112]Cunxiao Du, Jing Jiang, Yuanchen Xu, Jiawei Wu, Sicheng Yu, Yongqi Li, Shenggui Li, Kai Xu, Liqiang Nie, Zhaopeng Tu, Yang You:
GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding. ICML 2024 - [c111]Xiangming Gu, Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Ye Wang, Jing Jiang, Min Lin:
Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast. ICML 2024 - [c110]Jinggui Liang, Lizi Liao, Hao Fei, Bobo Li, Jing Jiang:
Actively Learn from LLMs with Uncertainty Propagation for Generalized Category Discovery. NAACL-HLT 2024: 7845-7858 - [c109]Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin:
Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses. NeurIPS 2024 - [c108]Rui Cao, Roy Ka-Wei Lee, Jing Jiang:
Modularized Networks for Few-shot Hateful Meme Detection. WWW 2024: 4575-4584 - [i40]Cunxiao Du, Jing Jiang, Yuanchen Xu, Jiawei Wu, Sicheng Yu, Yongqi Li, Shenggui Li, Kai Xu, Liqiang Nie, Zhaopeng Tu, Yang You:
GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding. CoRR abs/2402.02082 (2024) - [i39]Cunxiao Du, Hao Zhou, Zhaopeng Tu, Jing Jiang:
Revisiting the Markov Property for Machine Translation. CoRR abs/2402.02084 (2024) - [i38]Rui Cao, Jing Jiang:
Knowledge Generation for Zero-shot Knowledge-based VQA. CoRR abs/2402.02541 (2024) - [i37]Xiangming Gu, Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Ye Wang, Jing Jiang, Min Lin:
Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast. CoRR abs/2402.08567 (2024) - [i36]Rui Cao, Roy Ka-Wei Lee, Jing Jiang:
Modularized Networks for Few-shot Hateful Meme Detection. CoRR abs/2402.11845 (2024) - [i35]Yizhe Yang, Heyan Huang, Palakorn Achananuparp, Jing Jiang, Ee-Peng Lim:
Speaker Verification in Agent-Generated Conversations. CoRR abs/2405.10150 (2024) - [i34]Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin:
Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses. CoRR abs/2406.01288 (2024) - [i33]Qian Liu, Xiaosen Zheng, Niklas Muennighoff, Guangtao Zeng, Longxu Dou, Tianyu Pang, Jing Jiang, Min Lin:
RegMix: Data Mixture as Regression for Language Model Pre-training. CoRR abs/2407.01492 (2024) - [i32]Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin:
Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates. CoRR abs/2410.07137 (2024) - 2023
- [j12]Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen:
Complex Knowledge Base Question Answering: A Survey. IEEE Trans. Knowl. Data Eng. 35(11): 11196-11215 (2023) - [c107]Rui Cao, Jing Jiang:
Modularized Zero-shot VQA with Pre-trained Models. ACL (Findings) 2023: 58-76 - [c106]Rui Cao, Ming Shan Hee, Adriel Kuek, Wen-Haw Chong, Roy Ka-Wei Lee, Jing Jiang:
Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection. ACM Multimedia 2023: 5244-5252 - [e4]Maosong Sun, Bing Qin, Xipeng Qiu, Jing Jiang, Xianpei Han, Gaoqi Rao, Yubo Chen:
Chinese Computational Linguistics - 22nd China National Conference, CCL 2023, Harbin, China, August 3-5, 2023, Proceedings. Lecture Notes in Computer Science 14232, Springer 2023, ISBN 978-981-99-6206-8 [contents] - [e3]Jing Jiang, David Reitter, Shumin Deng:
Proceedings of the 27th Conference on Computational Natural Language Learning, CoNLL 2023, Singapore, December 6-7, 2023. Association for Computational Linguistics 2023, ISBN 979-8-89176-039-4 [contents] - [i31]Rui Cao, Roy Ka-Wei Lee, Wen-Haw Chong, Jing Jiang:
Prompting for Multimodal Hateful Meme Classification. CoRR abs/2302.04156 (2023) - [i30]Rui Cao, Jing Jiang:
Modularized Zero-shot VQA with Pre-trained Models. CoRR abs/2305.17369 (2023) - [i29]Rui Cao, Ming Shan Hee, Adriel Kuek, Wen-Haw Chong, Roy Ka-Wei Lee, Jing Jiang:
Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection. CoRR abs/2308.08088 (2023) - [i28]Xiaosen Zheng, Tianyu Pang, Chao Du, Jing Jiang, Min Lin:
Intriguing Properties of Data Attribution on Diffusion Models. CoRR abs/2311.00500 (2023) - 2022
- [c105]Sicheng Yu, Qianru Sun, Hao Zhang, Jing Jiang:
Translate-Train Embracing Translationese Artifacts. ACL (2) 2022: 362-370 - [c104]Minghuan Tan, Yong Dai, Duyu Tang, Zhangyin Feng, Guoping Huang, Jing Jiang, Jiwei Li, Shuming Shi:
Exploring and Adapting Chinese GPT to Pinyin Input Method. ACL (1) 2022: 1899-1909 - [c103]Xiaosen Zheng, Jing Jiang:
An Empirical Study of Memorization in NLP. ACL (1) 2022: 6265-6278 - [c102]Rui Cao, Roy Ka-Wei Lee, Wen-Haw Chong, Jing Jiang:
Prompting for Multimodal Hateful Meme Classification. EMNLP 2022: 321-332 - [c101]Sicheng Yu, Jing Jiang, Hao Zhang, Yulei Niu, Qianru Sun, Lidong Bing:
Interventional Training for Out-Of-Distribution Natural Language Understanding. EMNLP 2022: 11627-11638 - [c100]Sicheng Yu, Hao Zhang, Wei Jing, Jing Jiang:
Context Modeling with Evidence Filter for Multiple Choice Question Answering. ICASSP 2022: 8212-8216 - [c99]Kuan-Chieh Lo, Shih-Chieh Dai, Aiping Xiong, Jing Jiang, Lun-Wei Ku:
VICTOR: An Implicit Approach to Mitigate Misinformation via Continuous Verification Reading. WWW 2022: 3511-3519 - [i27]Minghuan Tan, Yong Dai, Duyu Tang, Zhangyin Feng, Guoping Huang, Jing Jiang, Jiwei Li, Shuming Shi:
Exploring and Adapting Chinese GPT to Pinyin Input Method. CoRR abs/2203.00249 (2022) - [i26]Xiaosen Zheng, Jing Jiang:
An Empirical Study of Memorization in NLP. CoRR abs/2203.12171 (2022) - [i25]Yunshi Lan, Lei Wang, Jing Jiang, Ee-Peng Lim:
Improving Compositional Generalization in Math Word Problem Solving. CoRR abs/2209.01352 (2022) - 2021
- [j11]Minghuan Tan, Jing Jiang, Bing Tian Dai:
A BERT-Based Two-Stage Model for Chinese Chengyu Recommendation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(6): 92:1-92:18 (2021) - [c98]Sicheng Yu, Hao Zhang, Yulei Niu, Qianru Sun, Jing Jiang:
COSY: COunterfactual SYntax for Cross-Lingual Understanding. ACL/IJCNLP (1) 2021: 577-589 - [c97]Yunshi Lan, Jing Jiang:
Modeling Transitions of Focal Entities for Conversational Knowledge Base Question Answering. ACL/IJCNLP (1) 2021: 3288-3297 - [c96]Xiaoying Ren, Jing Jiang, Ling Min Serena Khoo, Hai Leong Chieu:
Cross-Topic Rumor Detection using Topic-Mixtures. EACL 2021: 1534-1538 - [c95]Qiyuan Zhang, Lei Wang, Sicheng Yu, Shuohang Wang, Yang Wang, Jing Jiang, Ee-Peng Lim:
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset. EMNLP (Findings) 2021: 4147-4161 - [c94]Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen:
A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions. IJCAI 2021: 4483-4491 - [c93]Roy Ka-Wei Lee, Rui Cao, Ziqing Fan, Jing Jiang, Wen-Haw Chong:
Disentangling Hate in Online Memes. ACM Multimedia 2021: 5138-5147 - [c92]Minghuan Tan, Jing Jiang:
Learning and Evaluating Chinese Idiom Embeddings. RANLP 2021: 1387-1396 - [c91]Minghuan Tan, Jing Jiang:
Does BERT Understand Idioms? A Probing-Based Empirical Study of BERT Encodings of Idioms. RANLP 2021: 1397-1407 - [c90]Gaole He, Yunshi Lan, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen:
Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals. WSDM 2021: 553-561 - [c89]Kuan-Chieh Lo, Shih-Chieh Dai, Aiping Xiong, Jing Jiang, Lun-Wei Ku:
All the Wiser: Fake News Intervention Using User Reading Preferences. WSDM 2021: 1069-1072 - [c88]Kuan-Chieh Lo, Shih-Chieh Dai, Aiping Xiong, Jing Jiang, Lun-Wei Ku:
Escape from An Echo Chamber. WWW (Companion Volume) 2021: 713-716 - [i24]Gaole He, Yunshi Lan, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen:
Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals. CoRR abs/2101.03737 (2021) - [i23]Minghuan Tan, Lei Wang, Lingxiao Jiang, Jing Jiang:
Investigating Math Word Problems using Pretrained Multilingual Language Models. CoRR abs/2105.08928 (2021) - [i22]Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen:
A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions. CoRR abs/2105.11644 (2021) - [i21]Rui Cao, Ziqing Fan, Roy Ka-Wei Lee, Wen-Haw Chong, Jing Jiang:
Disentangling Hate in Online Memes. CoRR abs/2108.06207 (2021) - [i20]Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen:
Complex Knowledge Base Question Answering: A Survey. CoRR abs/2108.06688 (2021) - [i19]Qiyuan Zhang, Lei Wang, Sicheng Yu, Shuohang Wang, Yang Wang, Jing Jiang, Ee-Peng Lim:
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset. CoRR abs/2109.10604 (2021) - 2020
- [j10]Jianfei Yu, Jing Jiang, Rui Xia:
Entity-Sensitive Attention and Fusion Network for Entity-Level Multimodal Sentiment Classification. IEEE ACM Trans. Audio Speech Lang. Process. 28: 429-439 (2020) - [c87]Ling Min Serena Khoo, Hai Leong Chieu, Zhong Qian, Jing Jiang:
Interpretable Rumor Detection in Microblogs by Attending to User Interactions. AAAI 2020: 8783-8790 - [c86]Shuohang Wang, Yunshi Lan, Yi Tay, Jing Jiang, Jingjing Liu:
Multi-Level Head-Wise Match and Aggregation in Transformer for Textual Sequence Matching. AAAI 2020: 9209-9216 - [c85]Yunshi Lan, Jing Jiang:
Query Graph Generation for Answering Multi-hop Complex Questions from Knowledge Bases. ACL 2020: 969-974 - [c84]Jianfei Yu, Jing Jiang, Li Yang, Rui Xia:
Improving Multimodal Named Entity Recognition via Entity Span Detection with Unified Multimodal Transformer. ACL 2020: 3342-3352 - [c83]Minghuan Tan, Jing Jiang:
A BERT-based Dual Embedding Model for Chinese Idiom Prediction. COLING 2020: 1312-1322 - [c82]Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng, Jingjing Liu, Jing Jiang:
Cross-Thought for Sentence Encoder Pre-training. EMNLP (1) 2020: 412-421 - [c81]Jianfei Yu, Jing Jiang, Ling Min Serena Khoo, Hai Leong Chieu, Rui Xia:
Coupled Hierarchical Transformer for Stance-Aware Rumor Verification in Social Media Conversations. EMNLP (1) 2020: 1392-1401 - [i18]Shuohang Wang, Yunshi Lan, Yi Tay, Jing Jiang, Jingjing Liu:
Multi-level Head-wise Match and Aggregation in Transformer for Textual Sequence Matching. CoRR abs/2001.07234 (2020) - [i17]Ling Min Serena Khoo, Hai Leong Chieu, Zhong Qian, Jing Jiang:
Interpretable Rumor Detection in Microblogs by Attending to User Interactions. CoRR abs/2001.10667 (2020) - [i16]Yufei Tian, Jianfei Yu, Jing Jiang:
Aspect and Opinion Aware Abstractive Review Summarization with Reinforced Hard Typed Decoder. CoRR abs/2004.05755 (2020) - [i15]Sicheng Yu, Hao Zhang, Wei Jing, Jing Jiang:
Context Modeling with Evidence Filter for Multiple Choice Question Answering. CoRR abs/2010.02649 (2020) - [i14]Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng, Jing Jiang, Jingjing Liu:
Cross-Thought for Sentence Encoder Pre-training. CoRR abs/2010.03652 (2020) - [i13]Sicheng Yu, Yulei Niu, Shuohang Wang, Jing Jiang, Qianru Sun:
Counterfactual Variable Control for Robust and Interpretable Question Answering. CoRR abs/2010.05581 (2020) - [i12]Minghuan Tan, Jing Jiang:
A BERT-based Dual Embedding Model for Chinese Idiom Prediction. CoRR abs/2011.02378 (2020)
2010 – 2019
- 2019
- [j9]Yang Li, Ting Liu, Jingwen Hu, Jing Jiang:
Topical Co-Attention Networks for hashtag recommendation on microblogs. Neurocomputing 331: 356-365 (2019) - [j8]Jianfei Yu, Jing Jiang, Rui Xia:
Global Inference for Aspect and Opinion Terms Co-Extraction Based on Multi-Task Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 27(1): 168-177 (2019) - [j7]Yunshi Lan, Shuohang Wang, Jing Jiang:
Knowledge Base Question Answering With a Matching-Aggregation Model and Question-Specific Contextual Relations. IEEE ACM Trans. Audio Speech Lang. Process. 27(10): 1629-1638 (2019) - [c80]Yufei Tian, Jianfei Yu, Jing Jiang:
Aspect and Opinion Aware Abstractive Review Summarization with Reinforced Hard Typed Decoder. CIKM 2019: 2061-2064 - [c79]Yunshi Lan, Shuohang Wang, Jing Jiang:
Multi-hop Knowledge Base Question Answering with an Iterative Sequence Matching Model. ICDM 2019: 359-368 - [c78]Yunshi Lan, Shuohang Wang, Jing Jiang:
Knowledge Base Question Answering with Topic Units. IJCAI 2019: 5046-5052 - [c77]Jianfei Yu, Jing Jiang:
Adapting BERT for Target-Oriented Multimodal Sentiment Classification. IJCAI 2019: 5408-5414 - [c76]Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang:
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. NAACL-HLT (1) 2019: 882-891 - [i11]Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang:
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. CoRR abs/1904.01938 (2019) - [i10]Chenglei Si, Shuohang Wang, Min-Yen Kan, Jing Jiang:
What does BERT Learn from Multiple-Choice Reading Comprehension Datasets? CoRR abs/1910.12391 (2019) - 2018
- [j6]Debanjan Mahata, Jasper Friedrichs, Rajiv Ratn Shah, Jing Jiang:
Detecting Personal Intake of Medicine from Twitter. IEEE Intell. Syst. 33(4): 87-95 (2018) - [c75]Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerry Tesauro, Bowen Zhou, Jing Jiang:
R3: Reinforced Ranker-Reader for Open-Domain Question Answering. AAAI 2018: 5981-5988 - [c74]Shuohang Wang, Mo Yu, Jing Jiang, Shiyu Chang:
A Co-Matching Model for Multi-choice Reading Comprehension. ACL (2) 2018: 746-751 - [c73]Yunshi Lan, Jing Jiang:
Embedding WordNet Knowledge for Textual Entailment. COLING 2018: 270-281 - [c72]Jianfei Yu, Luís Marujo, Jing Jiang, Pradeep Karuturi, William Brendel:
Improving Multi-label Emotion Classification via Sentiment Classification with Dual Attention Transfer Network. EMNLP 2018: 1097-1102 - [c71]Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell:
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. ICLR (Poster) 2018 - [c70]Liangguo Wang, Jing Jiang, Lejian Liao:
Sentence Compression with Reinforcement Learning. KSEM (1) 2018: 3-15 - [c69]Jianfei Yu, Minghui Qiu, Jing Jiang, Jun Huang, Shuangyong Song, Wei Chu, Haiqing Chen:
Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce. WSDM 2018: 682-690 - [e2]Yuen-Hsien Tseng, Tetsuya Sakai, Jing Jiang, Lun-Wei Ku, Dae Hoon Park, Jui-Feng Yeh, Liang-Chih Yu, Lung-Hao Lee, Zhi-Hong Chen:
Information Retrieval Technology - 14th Asia Information Retrieval Societies Conference, AIRS 2018, Taipei, Taiwan, November 28-30, 2018, Proceedings. Lecture Notes in Computer Science 11292, Springer 2018, ISBN 978-3-030-03519-8 [contents] - [e1]Xuanjing Huang, Jing Jiang, Dongyan Zhao, Yansong Feng, Yu Hong:
Natural Language Processing and Chinese Computing - 6th CCF International Conference, NLPCC 2017, Dalian, China, November 8-12, 2017, Proceedings. Lecture Notes in Computer Science 10619, Springer 2018, ISBN 978-3-319-73617-4 [contents] - [i9]Shuohang Wang, Mo Yu, Shiyu Chang, Jing Jiang:
A Co-Matching Model for Multi-choice Reading Comprehension. CoRR abs/1806.04068 (2018) - [i8]Debanjan Mahata, Jasper Friedrichs, Rajiv Ratn Shah, Jing Jiang:
Did you take the pill? - Detecting Personal Intake of Medicine from Twitter. CoRR abs/1808.02082 (2018) - 2017
- [j5]Yang Li, Jing Jiang, Ting Liu:
Inferring User Consumption Preferences from Social Media. IEICE Trans. Inf. Syst. 100-D(3): 537-545 (2017) - [j4]Yang Li, Jing Jiang, Ting Liu, Minghui Qiu, Xiaofei Sun:
Personalized Microtopic Recommendation on Microblogs. ACM Trans. Intell. Syst. Technol. 8(6): 77:1-77:21 (2017) - [c68]Ying Ding, Jianfei Yu, Jing Jiang:
Recurrent Neural Networks with Auxiliary Labels for Cross-Domain Opinion Target Extraction. AAAI 2017: 3436-3442 - [c67]Liangguo Wang, Jing Jiang, Hai Leong Chieu, Chen Hui Ong, Dandan Song, Lejian Liao:
Can Syntax Help? Improving an LSTM-based Sentence Compression Model for New Domains. ACL (1) 2017: 1385-1393 - [c66]Shuohang Wang, Jing Jiang:
A Compare-Aggregate Model for Matching Text Sequences. ICLR (Poster) 2017 - [c65]Shuohang Wang, Jing Jiang:
Machine Comprehension Using Match-LSTM and Answer Pointer. ICLR (Poster) 2017 - [c64]Jianfei Yu, Jing Jiang:
Leveraging Auxiliary Tasks for Document-Level Cross-Domain Sentiment Classification. IJCNLP(1) 2017: 654-663 - [c63]Ying Ding, Changlong Yu, Jing Jiang:
A Neural Network Model for Semi-supervised Review Aspect Identification. PAKDD (2) 2017: 668-680 - [i7]Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerald Tesauro, Bowen Zhou, Jing Jiang:
R3: Reinforced Reader-Ranker for Open-Domain Question Answering. CoRR abs/1709.00023 (2017) - [i6]Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell:
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. CoRR abs/1711.05116 (2017) - [i5]Jianfei Yu, Minghui Qiu, Jing Jiang, Jun Huang, Shuangyong Song, Wei Chu, Haiqing Chen:
Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce. CoRR abs/1711.08726 (2017) - 2016
- [j3]Wei Xie, Feida Zhu, Jing Jiang, Ee-Peng Lim, Ke Wang:
TopicSketch: Real-Time Bursty Topic Detection from Twitter. IEEE Trans. Knowl. Data Eng. 28(8): 2216-2229 (2016) - [c62]Yunshi Lan, Mengqi Zhang, Feida Zhu, Jing Jiang, Ee-Peng Lim:
When a Friend Online is More Than a Friend in Life: Intimate Relationship Prediction in Microblogs. APWeb (1) 2016: 196-207 - [c61]Jianfei Yu, Jing Jiang:
Pairwise Relation Classification with Mirror Instances and a Combined Convolutional Neural Network. COLING 2016: 2366-2377 - [c60]Yang Li, Ting Liu, Jing Jiang, Liang Zhang:
Hashtag Recommendation with Topical Attention-Based LSTM. COLING 2016: 3019-3029 - [c59]Jianfei Yu, Jing Jiang:
Learning Sentence Embeddings with Auxiliary Tasks for Cross-Domain Sentiment Classification. EMNLP 2016: 236-246 - [c58]Lizi Liao, Qirong Ho, Jing Jiang, Ee-Peng Lim:
SLR: A scalable latent role model for attribute completion and tie prediction in social networks. ICDE 2016: 1062-1073 - [c57]Shuohang Wang, Jing Jiang:
Learning Natural Language Inference with LSTM. HLT-NAACL 2016: 1442-1451 - [i4]Shuohang Wang, Jing Jiang:
Machine Comprehension Using Match-LSTM and Answer Pointer. CoRR abs/1608.07905 (2016) - [i3]Shuohang Wang, Jing Jiang:
A Compare-Aggregate Model for Matching Text Sequences. CoRR abs/1611.01747 (2016) - 2015
- [c56]Jianfei Yu, Jing Jiang:
A Hassle-Free Unsupervised Domain Adaptation Method Using Instance Similarity Features. ACL (2) 2015: 168-173 - [c55]Jianguang Du, Jing Jiang, Dandan Song, Lejian Liao:
Topic Modeling with Document Relative Similarities. IJCAI 2015: 3469-3475 - [c54]Ying Ding, Jing Jiang:
A Joint Model of Product Properties, Aspects and Ratings for Online Reviews. RANLP 2015: 131-137 - [c53]Ying Ding, Jing Jiang:
Towards Opinion Summarization from Online Forums. RANLP 2015: 138-146 - [c52]Minghui Qiu, Yanchuan Sim, Noah A. Smith, Jing Jiang:
Modeling User Arguments, Interactions, and Attributes for Stance Prediction in Online Debate Forums. SDM 2015: 855-863 - [c51]Yang Li, Jing Jiang, Ting Liu, Xiaofei Sun:
Personalized Microtopic Recommendation with Rich Information. SMP 2015: 1-14 - [c50]Ying Ding, Jing Jiang:
Modeling Social Media Content with Word Vectors for Recommendation. SocInfo 2015: 274-288 - [i2]Shuohang Wang, Jing Jiang:
Learning Natural Language Inference with LSTM. CoRR abs/1512.08849 (2015) - 2014
- [c49]Lizi Liao, Jing Jiang, Ying Ding, Heyan Huang, Ee-Peng Lim:
Lifetime Lexical Variation in Social Media. AAAI 2014: 1643-1649 - [c48]Ying Ding, Jing Jiang:
Extracting Interest Tags from Twitter User Biographies. AIRS 2014: 268-279 - [c47]Liu Yang, Jing Jiang, Lifu Huang, Minghui Qiu, Lizi Liao:
Generating Supplementary Travel Guides from Social Media. COLING 2014: 1670-1681 - [c46]Lizi Liao, Jing Jiang, Ee-Peng Lim, Heyan Huang:
A study of age gaps between online friends. HT 2014: 98-106 - [c45]Jianguang Du, Jing Jiang, Liu Yang, Dandan Song, Lejian Liao:
Shell Miner: Mining Organizational Phrases in Argumentative Texts in Social Media. ICDM 2014: 797-802 - [c44]Qiming Diao, Minghui Qiu, Chao-Yuan Wu, Alexander J. Smola, Jing Jiang, Chong Wang:
Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS). KDD 2014: 193-202 - [c43]Kartik Muralidharan, Swapna Gottipati, Narayan Ramasubbu, Jing Jiang, Rajesh Krishna Balan:
myDeal: a mobile shopping assistant matching user preferences to promotions. MobiQuitous 2014: 238-247 - [c42]Swapna Gottipati, Minghui Qiu, Liu Yang, Feida Zhu, Jing Jiang:
An Integrated Model for User Attribute Discovery: A Case Study on Political Affiliation Identification. PAKDD (1) 2014: 434-446 - [c41]Qiming Diao, Jing Jiang:
Recurrent Chinese Restaurant Process with a Duration-based Discount for Event Identification from Twitter. SDM 2014: 388-397 - 2013
- [j2]Peng Li, Yinglin Wang, Jing Jiang:
Automatically building templates for entity summary construction. Inf. Process. Manag. 49(1): 330-340 (2013) - [c40]Payas Gupta, Swapna Gottipati, Jing Jiang, Debin Gao:
Your love is public now: questioning the use of personal information in authentication. AsiaCCS 2013: 49-60 - [c39]Liu Yang, Minghui Qiu, Swapna Gottipati, Feida Zhu, Jing Jiang, Huiping Sun, Zhong Chen:
CQArank: jointly model topics and expertise in community question answering. CIKM 2013: 99-108 - [c38]Minghui Qiu, Liu Yang, Jing Jiang:
Modeling interaction features for debate side clustering. CIKM 2013: 873-878 - [c37]Swapna Gottipati, Minghui Qiu, Yanchuan Sim, Jing Jiang, Noah A. Smith:
Learning Topics and Positions from Debatepedia. EMNLP 2013: 1858-1868 - [c36]Qiming Diao, Jing Jiang:
A Unified Model for Topics, Events and Users on Twitter. EMNLP 2013: 1869-1879 - [c35]Wei Xie, Feida Zhu, Jing Jiang, Ee-Peng Lim, Ke Wang:
TopicSketch: Real-Time Bursty Topic Detection from Twitter. ICDM 2013: 837-846 - [c34]Minghui Qiu, Liu Yang, Jing Jiang:
Mining User Relations from Online Discussions using Sentiment Analysis and Probabilistic Matrix Factorization. HLT-NAACL 2013: 401-410 - [c33]Minghui Qiu, Jing Jiang:
A Latent Variable Model for Viewpoint Discovery from Threaded Forum Posts. HLT-NAACL 2013: 1031-1040 - [c32]Jing Jiang, Minghui Qiu, Feida Zhu:
It Is Not Just What We Say, But How We Say Them: LDA-based Behavior-Topic Model. SDM 2013: 794-802 - [c31]Swapna Gottipati, Minghui Qiu, Liu Yang, Feida Zhu, Jing Jiang:
Predicting User's Political Party Using Ideological Stances. SocInfo 2013: 177-191 - [c30]Xun Wang, Feida Zhu, Jing Jiang, Sujian Li:
Real Time Event Detection in Twitter. WAIM 2013: 502-513 - [p2]Byung-Won On, Ee-Peng Lim, Jing Jiang, Loo-Nin Teow:
Engagingness and Responsiveness Behavior Models on the Enron Email Network and Its Application to Email Reply Order Prediction. The Influence of Technology on Social Network Analysis and Mining 2013: 227-253 - 2012
- [j1]Palakorn Achananuparp, Ee-Peng Lim, Jing Jiang, Tuan-Anh Hoang:
Who is Retweeting the Tweeters? Modeling, Originating, and Promoting Behaviors in the Twitter Network. ACM Trans. Manag. Inf. Syst. 3(3): 13:1-13:30 (2012) - [c29]Qiming Diao, Jing Jiang, Feida Zhu, Ee-Peng Lim:
Finding Bursty Topics from Microblogs. ACL (1) 2012: 536-544 - [c28]Minghui Qiu, Yaliang Li, Jing Jiang:
Query-Oriented Keyphrase Extraction. AIRS 2012: 64-75 - [c27]Swapna Gottipati, Jing Jiang:
Extracting and Normalizing Entity-Actions from Users' Comments. COLING (Posters) 2012: 421-430 - [c26]Swapna Gottipati, Jing Jiang:
Finding Thoughtful Comments from Social Media. COLING 2012: 995-1010 - [c25]Yang Song, Jing Jiang, Wayne Xin Zhao, Sujian Li, Houfeng Wang:
Joint Learning for Coreference Resolution with Markov Logic. EMNLP-CoNLL 2012: 1245-1254 - [c24]Xin Zhao, Baihan Shu, Jing Jiang, Yang Song, Hongfei Yan, Xiaoming Li:
Identifying Event-related Bursts via Social Media Activities. EMNLP-CoNLL 2012: 1466-1477 - [c23]Marko M. Skoric, Nathaniel D. Poor, Palakorn Achananuparp, Ee-Peng Lim, Jing Jiang:
Tweets and Votes: A Study of the 2011 Singapore General Election. HICSS 2012: 2583-2591 - [c22]Swapna Gottipati, Jing Jiang:
What's Public Feedback? Linking High Quality Feedback to Social Issues Using Social Media. SocialCom/PASSAT 2012: 546-551 - [p1]Jing Jiang:
Information Extraction from Text. Mining Text Data 2012: 11-41 - 2011
- [c21]Wayne Xin Zhao, Jing Jiang, Jing He, Yang Song, Palakorn Achananuparp, Ee-Peng Lim, Xiaoming Li:
Topical Keyphrase Extraction from Twitter. ACL 2011: 379-388 - [c20]Tuan-Anh Hoang, Ee-Peng Lim, Palakorn Achananuparp, Jing Jiang, Loo-Nin Teow:
Modeling Socialness in Dynamic Social Networks. ASONAM 2011: 344-350 - [c19]Yang Song, Houfeng Wang, Jing Jiang:
Link Type Based Pre-Cluster Pair Model for Coreference Resolution. CoNLL Shared Task 2011: 131-135 - [c18]Wayne Xin Zhao, Jing Jiang, Jianshu Weng, Jing He, Ee-Peng Lim, Hongfei Yan, Xiaoming Li:
Comparing Twitter and Traditional Media Using Topic Models. ECIR 2011: 338-349 - [c17]Swapna Gottipati, Jing Jiang:
Linking Entities to a Knowledge Base with Query Expansion. EMNLP 2011: 804-813 - [c16]Cane Wing-ki Leung, Jing Jiang, Kian Ming Adam Chai, Hai Leong Chieu, Loo-Nin Teow:
Unsupervised Information Extraction with Distributional Prior Knowledge. EMNLP 2011: 814-824 - [c15]Peng Li, Yinglin Wang, Wei Gao, Jing Jiang:
Generating Aspect-oriented Multi-Document Summarization with Event-aspect model. EMNLP 2011: 1137-1146 - [c14]Tuan-Anh Hoang, Ee-Peng Lim, Palakorn Achananuparp, Jing Jiang, Feida Zhu:
On Modeling Virality of Twitter Content. ICADL 2011: 212-221 - [c13]Yaliang Li, Jing Jiang, Hai Leong Chieu, Kian Ming Adam Chai:
Extracting Relation Descriptors with Conditional Random Fields. IJCNLP 2011: 392-400 - [c12]Swapna Gottipati, David Lo, Jing Jiang:
Finding relevant answers in software forums. ASE 2011: 323-332 - 2010
- [c11]Peng Li, Jing Jiang, Yinglin Wang:
Generating Templates of Entity Summaries with an Entity-Aspect Model and Pattern Mining. ACL 2010: 640-649 - [c10]Byung-Won On, Ee-Peng Lim, Jing Jiang, Amruta Purandare, Loo-Nin Teow:
Mining Interaction Behaviors for Email Reply Order Prediction. ASONAM 2010: 306-310 - [c9]Wayne Xin Zhao, Jing Jiang, Jing He, Dongdong Shan, Hongfei Yan, Xiaoming Li:
Context modeling for ranking and tagging bursty features in text streams. CIKM 2010: 1769-1772 - [c8]Wayne Xin Zhao, Jing Jiang, Hongfei Yan, Xiaoming Li:
Jointly Modeling Aspects and Opinions with a MaxEnt-LDA Hybrid. EMNLP 2010: 56-65 - [c7]Viet-An Nguyen, Ee-Peng Lim, Hwee-Hoon Tan, Jing Jiang, Aixin Sun:
Do You Trust to Get Trust? A Study of Trust Reciprocity Behaviors and Reciprocal Trust Prediction. SDM 2010: 72-83 - [c6]Meiqun Hu, Ee-Peng Lim, Jing Jiang:
A Probabilistic Approach to Personalized Tag Recommendation. SocialCom/PASSAT 2010: 33-40 - [c5]Byung-Won On, Ee-Peng Lim, Jing Jiang, Freddy Chong Tat Chua, Viet-An Nguyen, Loo-Nin Teow:
Messaging Behavior Modeling in Mobile Social Networks. SocialCom/PASSAT 2010: 425-430 - [c4]Jianshu Weng, Ee-Peng Lim, Jing Jiang, Qi He:
TwitterRank: finding topic-sensitive influential twitterers. WSDM 2010: 261-270 - [i1]Swapna Gottipati, Jing Jiang:
SMU-SIS at TAC 2010 - KBP Track Entity Linking. TAC 2010
2000 – 2009
- 2009
- [c3]Viet-An Nguyen, Ee-Peng Lim, Jing Jiang, Aixin Sun:
To Trust or Not to Trust? Predicting Online Trusts Using Trust Antecedent Framework. ICDM 2009: 896-901 - [c2]Wei Zheng, Swapna Gottipati, Jing Jiang, Hui Fang:
UDEL/SMU at TREC 2009 Entity Track. TREC 2009 - 2005
- [c1]Renxu Sun, Jing Jiang, Yee Fan Tan, Hang Cui, Tat-Seng Chua, Min-Yen Kan:
Using Syntactic and Semantic Relation Analysis in Question Answering. TREC 2005
Coauthor Index
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