Wir müssen wissen, wir werden wissen

I am a Researcher and a tech director of Large Language Model team at Meituan. Before that, I was a senior algorithm engineer at Alibaba DAMO Academy. I obtained my Ph.D. degree in computer science from the joint Ph.D. program between Beijing Institute of Technology and Purdue University in 2016. My research interests include natural language processing, information retrieval, and machine translation.

Email: bitwjg AT gmail.com; wangjingang02 AT meituan.com

Research Interests

• Natural Language Processing

• Large Language Model

• Information Retrieval

• Machine Learning

Publications

• Ying Mo, Jian Yang, Jiahao Liu, Qifan Wang, Ruoyu Chen, Jingang Wang, Zhoujun Li. MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning. AAAI 2024 (CCF-A).

• Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Yutao Mou, Mengdi Zhang, Jingang Wang, Xunliang Cai, Weiran Xu. DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning.  ACL 2024 (CCF-A).

• Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu. Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection.  LREC-COLING 2024.

• Chen Zhang, Yang Yang, Jiahao Liu, Jingang Wang, Yunsen Xian, Benyou Wang and Dawei Song. Lifting the Curse of Capacity Gap in Distilling Language Models. ACL 2023 (CCF-A).

• Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian and Weiran Xu. Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery. ACL 2023 (CCF-A).

• Weihao Zeng, Lulu Zhao, Keqing He, Ruotong Geng, Jingang Wang, Wei Wu and Weiran Xu. Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation. ACL 2023 (CCF-A).

• Weihao Zeng, Keqing He, Yejie Wang, Chen Zeng, Jingang Wang, Yunsen Xian and Weiran Xu. FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue. ACL 2023 (CCF-A).

• Rongyi Sun, Ziran Li, Yifeng Ding, Qifan Wang, Jingang Wang, Haitao Zheng, Wei Wu and Yunsen Xian. Fusion or Defusion? A Flexible Vision-and-Language Pre-Training Model. Findings of ACL 2023.

• Zhuocheng Gong, Jiahao Liu, Qifan Wang, Yang Yang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao and Rui Yan. PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models. Findings of ACL 2023.

• Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Kai Chen and Rui Yan. RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank. ACL 2023 (CCF-A).

• Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu and Dongfang Liu. MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction. Findings of ACL 2023.

• Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz and Dongfang Liu. MUSTIE: Multimodal Structural Transformer for Web Information Extraction. ACL 2023 (CCF-A).

• Liqi Yan, Qifan Wang, Siqi Ma, Jingang Wang and Changbin Yu. Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework with Spatio-Temporal Collaboration. in IEEE Transactions on Circuits and Systems for Video Technology(TCSVT), 2022. (CCF-A)

• Jiduan Liu, Jiahao Liu, Yang Yang, Jingang Wang, Wei Wu, Dongyan Zhao and Rui Yan. GNN-Encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Dense Passage Retrieval. Findings of EMNLP 2022. 

• Qifan Wang, Li Yang, Jingang Wang, Jitin Krishnan, Bo Dai, Sinong Wang, Zenglin Xu, Madian Khabsa and Hao Ma. SMUTPAVE: Structured Multimodal Transformer for Product Attribute Value Extraction. Findings of EMNLP 2022. 

• Dan Li, Yang Yang, Hongying Tang, Jingang Wang, Tong Xu, Wei Wu, Enhong Chen. VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction. EMNLP 2022. [Paper] (CCF-B)

• Chen Zhang, Lei Ren, Jingang Wang, Wei Wu and Dawei Song. Making Pre-trained Language Models Good Long-tailed Learners. EMNLP 2022. (CCF-B)

• Fang Ma, Chen Zhang, Lei Ren, Jingang Wang, Qifan Wang, Wei Wu, Xiaojun Quan and Dawei Song. XPrompt: Exploring the Extreme of Prompt Tuning. EMNLP 2022. (CCF-B)

• Yutao Mou, Pei Wang, Keqing He, Yanan Wu, Jingang Wang, Wei Wu and Weiran Xu. UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning. EMNLP 2022. (CCF-B)

• Yutao Mou, Keqing He, Pei Wang, Yanan Wu, Jingang Wang, Wei Wu and Weiran Xu. Watch The Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery. EMNLP 2022. (CCF-B)

• Keqing He, Jingang Wang, Chaobo Sun, Wei Wu. Unified Knowledge Prompt Pre-training for Customer Service Dialogues. CIKM 2022. (short) (CCF-B)

• Biru Zhu, Yujia Qin, Ganqu Cui, Yangyi Chen, Weilin Zhao, Chong Fu, Yangdong Deng, Zhiyuan Liu, Jingang Wang, Wei Wu, Maosong Sun and Ming Gu. Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models. NeurIPS 2022. (CCF-A)

• Borun Chen, Hongyin Tang, Jingang Wang*, Wei Wu, Qifan Wang, Haitao Zheng and Liqian Yu. CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations. COLING 2022. [Paper] (CCF-B)

• Chen Zhang, Lei Ren, Fang Ma, Jingang Wang*, Wei Wu and Dawei Song. Structural Bias for Aspect Sentiment Triplet Extraction. COLING 2022. (CCF-B)

• Yutao Mou, Keqing He, Yanan Wu, Pei Wang, Jingang Wang, Wei Wu, Yi Huang, Junlan Feng and Weiran Xu. Generalized Intent Discovery: Learning from Open World Dialogue System. COLING 2022. (CCF-B)

• Mengxue Zhao, Yang Yang, Miao Li, Jingang Wang, Wei Wu, Pengjie Ren, Maarten de Rijke, Zhaochun Ren. Personalized Abstractive Opinion Tagging. SIGIR 2022. (CCF-A)

• Qifang Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu. Deep Partial Multiplex Network Embedding. The First Workshop on Graph Learning @The ACM Web Conference 2022. [Paper]

• Shengding Hu, Ning Ding, Huadong Wang, Zhiyuan Liu, Jingang Wang, Juanzi Li, Wei Wu, Maosong Sun. Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification. ACL 2022. [Paper] (CCF-A)

• Hongyin Tang, Xingwu Sun, Beihong Jin, Jingang Wang, Fuzheng Zhang, Wei Wu. Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval. ACL 2021. [Paper] (CCF-A)

• Jiahao Bu, Lei Ren, Shuang Zheng, Yang Yang,  Jingang Wang*, Fuzheng Zhang, Wei Wu. ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction. NAACL 2021. [Paper] [Dataset] (CCF-B)

• Yang Yang, Junmei Hao, Canjia Li, Zili Wang, Jingang Wang*, Fuzheng Zhang, Rao Fu, Peixu Hou, Gong Zhang, Zhongyuan Wang. Query-aware Tip Generation for Vertical Search. CIKM 2020 Applied Science Track. [Paper] (CCF-B)

• Bowen Xing, Dandan Song, Lejian Liao, Jingang Wang, Fuzheng Zhang, Zhongyuan Wang, Heyan Huang. Earlier Attention? Aspect-Aware LSTM for Aspect-based Sentiment Analysis. IJCAI 2019. (CCF-A)

• Lerong Ma, Dandan Song, Lejian Liao, Jingang Wang. A Hybrid Discriminative Mixture Model for Cumulative Citation Recommendation. In IEEE Transactions on Knowledge and Data Engineering (TKDE). 2019 (CCF-A)

• Lerong Ma, Lejian Liao, Dandan Song and Jingang Wang. A Latent Entity-Document Class Mixture of Experts Model for Cumulative Citation Recommendation. Tsinghua Science and Technology. 2018

• Yongchao Deng, Shanbo Cheng, Jun Lu, Kai Song, Jingang Wang, Shenglan Wu, Liang Yao, Guchun Zhang, Haibo Zhang, Pei Zhang, Changfeng Zhu, Boxing Chen. Alibaba's Neural Machine Translation Systems for WMT 2018. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers (pp. 368-376).

• Jingang Wang, Junfeng Tian, Long Qiu, Sheng Li, Jun Lang, Luo Si and Man Lan. A Multi-Task Learning Approach for Improving Product Title Compression With User Search Log Data. In Proceedings of 32th AAAI Conference on Artificial Intelligence, AAAI 2018. [Paper] (CCF-A)

• Lerong Ma, Dandan Song, Lejian Liao and Jingang Wang. PSVM: a preference-enhanced SVM model using preference data for classification. Science China Information Sciences 60.12 (2017): 122103. (CCF-B)

• Jingang Wang, Jingtian Jiang, Lejian Liao, Dandan Song, Zhiwei Zhang, Chin-Yew Lin. Cold Start Cumulative Citation Recommendation for Knowledge Base Acceleration. In Proceedings of 38th European Conference on IR Research, ECIR 2016.(Poster) (CCF-C)

• Zhiwei Zhang, Jingang Wang, Tao Wu, Pengjie Ren, Zhumin Chen, Luo Si. Supervised Local Contexts Aggregation for Effective Session Search. In Proceedings of 38th European Conference on IR Research, ECIR 2016. (CCF-C)

• Jingang Wang, Dandan Song, Zhiwei Zhang, Luo Si, Lejian Liao and Chin-Yew Lin. LDTM: A Latent Document Type Model for Cumulative Citation Recommendation. In Proceedings of  the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP), Lisboa, Portugal, September 2015. (Short)[pdf] (CCF-B)

• Jingang Wang, Qifan Wang, Dandan Song, Zhiwei Zhang, Luo Si, Lejian Liao and Chin-Yew Lin. An Entity Class-Dependent Discriminative Mixture Model for Cumulative Citation Recommendation. In: SIGIR 2015: 38th international ACM SIGIR conference on Research and development in information retrieval (SIGIR), Santiago, Chile, August 2015. [pdf] (CCF-A)

• Jingang Wang, Lejian Liao, Dandan Song, Lerong Ma, Chin-Yew Lin and Yong Rui. Resorting Relevance Evidences to Cumulative Citation Recommendation for Knowledge Base Acceleration. In Proceedings of 16th International Conference on Web-Age Information Management (WAIM), Qingdao, China, Jun. 2015. [pdf] (CCF-C)

• Jingang Wang, Ning Zhang, Zhiwei Zhang, Dandan Song, Luo Si and Lejian Liao. BIT and Purdue at TREC-KBA-CCR Track 2014. In Proceedings of 23rd Text Retreieval Conference (TREC), Gaithersburg, MD, US, Nov. 2014. [pdf]

• Jingang Wang, Dandan Song, Chin-Yew Lin and Lejian Liao. BIT and MSRA at TREC KBA CCR Track 2013, In Proceedings of 22nd Text REtrieval Conference (TREC), Gaithersburg, MD, US, Nov. 2013. [pdf] (The 1st place team at KBA-CCR task.)

• Jingang Wang, Dandan Song, Lejian Liao and Wei Zou, The Chinese Bag-of-opinions Method for Hot-Topic-Oriented Sentiment Analysis on Weibo, In Proceedings of Jointed Conference of 6th Chinese Semantic Web Symposium and The 1st Chinese Web Science Conference (CSWS), Shenzhen, China, Nov. 2012. [pdf]

• Guoqiang Li, Lejian Liao, Dandan Song, Jingang Wang, Fuzhen Sun and Guangcheng Liang, A Self-healing Framework for QoS-aware Web Service Composition via Case-based Reasoning, In Proceedings of  15th Asia-Pacific Web conference (AP-Web), Sydney, Australia, Apr. 2013. [pdf] (CCF-C)

Research Experiences

• 2018.10 ~ Present  Research Scientist at NLP Center, Meituan-Dianping Group, Beijing. Collaborate with Dr Fuzheng Zhang and Dr. Zhongyuang Wang.

• 2016.04 ~ 2018.09  Research Engineer at NLP Group, iDST, Alibaba Group, Beijing. Collaborate with Dr. Long Qiu and Dr. Luo Si.

• 2015.03 ~ 2015.12  Research Intern at Knowledge Mining Group, Microsoft Research Asia, Beijing. Mentor: Dr. Chin-Yew Lin and Dr. Yunbo Cao.

• 2013.11 ~ 2014.11  Visiting Student at Information Retrieval Lab, Purdue University, West Lafayette, IN, US. Advisor: Prof. Luo Si.

• 2012.12 ~  2013.10  Research Intern at Knowledge Mining Group, Microsoft Research Asia, Beijing. Mentor: Dr. Chin-Yew Lin.

Education

• 2010.09 ~ 2016.04 PhD in School of Computer Science, Beijing Institute of Technology, Beijing

• 2006.09 ~ 2010.06  B.E. in School of Computer Science, Beijing Institute of Technology, Beijing

Professional Activities

Program Committees: ACL 2021, NAACL 2021, CIKM 2021, SIGIR 2021, SIGIR 2020, AAAI 2020, AAAI 2019, SIGIR 2018, SMP 2017, CIKM 2016