权小军

教授

联系邮箱： quanxj3@mail.sysu.edu.cn

联系地址： 超算中心

教师简介:

权小军，博士，教授，博士生导师；中国计算机学会杰出会员、自然语言处理专委会委员、大模型论坛执委，中国中文信息学会大模型与生成专委会委员、情感计算专委会委员；广东省“珠江人才计划”海外青年英才团队核心成员，jbo竞博电竞官方网站“百人计划”急需青年杰出人才。先后于中国科学技术大学计算机系、香港城市大学计算机系、美国罗格斯大学商学院、美国普渡大学计算机系、香港城市大学翻译及语言学系、新加坡科技研究局资讯通信研究院从事自然语言处理、文本挖掘、机器学习的研究工作，在国际知名期刊如IEEE Transactions on Pattern Analysis and Machine Intelligence、IEEE Transactions on Knowledge and Data Engineering、ACM Transactions on Information Systems和会议如ACL、WWW、AAAI、SIGIR、IJCAI、EMNLP发表高水平学术论文100余篇。2012年博士毕业于香港城市大学，被授予香港城市大学研究生类最高荣誉的奖学金—周亦卿研究生院奖学金。回国前就职于新加坡科技研究局资讯通信研究院（Institute for Infocomm Research，A*STAR），任研究科学家，期间除从事文本数据挖掘和自然语言处理的基础研究外，也同工业界紧密合作，领导或参与了同中国平安、新加坡星展银行（DBS）、联想（新加坡）及渣打银行的合作项目。

研究领域：自然语言处理，包括：预训练语言模型、对话系统、中文信息处理等方向：

专注于预训练语言模型和人机对话系统的研究工作，尤其是预训练语言模型、知识蒸馏和模型压缩、知识驱动的任务型对话系统等方向；
首次提出了异构大模型融合的研究问题，旨在整合不同来源、不同结构大模型的优势，减少重复预训练的昂贵开销，同时能为下游任务提供更强的基础模型，研究成果被机器学习权威国际会议ICLR 2024 接收；
基于模型融合的思想开发了FuseChat 1.0/2.0 系列模型1，在MT-Bench和AlpacaEval等权威榜单取得优异的表现，模型及报告被开源社区Hugging Face的Daily Papers板块收录2；模型在Huggingface获得10000+下载及Github 400+Stars。

1https//github.com/fanqiwan/FuseLLM

2https://huggingface.co/papers?date=2024-02-27

NEW 硕士及博士研究生招生：本实验室长期招收各类硕士和博士研究生，我们将为同学们提供：

自然语言处理的基础与前沿研究问题，目标不仅仅是在国际顶会和期刊上发表优秀论文，更重要的理念是做出有价值和影响力的科研成果；
与一流的研究机构合作机会，如谷歌、微软、阿里、腾讯等；
为优秀的同学提供优质的实习机会，如阿里达摩院、腾讯AI Lab、字节跳动人工智能实验室、百度NLP组、腾讯NLP部门等；

工作经历:

2017.07-至今，jbo竞博电竞官方网站，教授
2014.01-2017.05，新加坡科技研究局资讯通信研究院，研究科学家
2012.09-2013.12，香港城市大学中文、翻译与语言学系，博士后研究员
2011.07-2011.12，美国普渡大学计算机系，访问学者
2010.06-2010.08，美国罗格斯大学商学院，访问学者
2008.07-2009.09，香港城市大学计算机系，研究助理

代表性论著:

Ziyi Yang, Fanqi Wan, Longguang Zhong, Tianyuan Shi, Xiaojun Quan. Weighted-Reward Preference Optimization for Implicit Model Fusion. ICLR 2025, accepted, 2025.
Shiping Gao, Fanqi Wan, Jiajian Guo, Xiaojun Quan, Qifan Wang. Let Large Language Models Find the Data to Train Themselves. ICLR 2025, accepted, 2025.
Weizhou Shen, Chenliang Li, Hongzhan Chen, Ming Yan, Xiaojun Quan, Hehong Chen, Ji Zhang, Fei Huang. Small LLMs Are Weak Tool Learners: A Multi-LLM Agent. EMNLP 2024, 16658-16680, 2024.
Ruijun Chen, Jiehao Liang, Shiping Gao, Fanqi Wan, Xiaojun Quan. Self-Evolution Fine-Tuning for Policy Optimization. EMNLP (Findings) 2024, 4120-4137, 2024.
Fanqi Wan, Xinting Huang, Leyang Cui, Xiaojun Quan, Wei Bi, Shuming Shi. Knowledge Verification to Nip Hallucination in the Bud. EMNLP 2024: 2616-2633.
Haihui Yang, Xiaojun Quan. Alignment-Enhanced Chinese Grammatical Error Corrector. ACL 2024, accepted, 2024.
Hongzhan Chen, Hehong Chen, Ming Yan, Wenshen Xu, Gao Xing, Weizhou Shen, Xiaojun Quan, Chenliang Li, Ji Zhang, Fei Huang. SocialBench: Sociality Evaluation of Role-Playing Conversational Agents. ACL 2024, accepted, 2024.
Fanqi Wan, Xinting Huang, Deng Cai, Xiaojun Quan, Wei Bi, Shuming Shi. Knowledge Fusion of Large Language Models. ICLR 2024, accepted, 2024.
Tianyuan Shi, Liangzhi Li, Zijian Lin, Tao Yang, Xiaojun Quan, Qifan Wang. Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems. EMNLP 2023, Main Conference, 6566–6580, December 6-10, 2023. (CCF B类会议)
Weizhou Shen, Yingqi Gao, Canbin Huang, Fanqi Wan, Xiaojun Quan, Wei Bi. Retrieval-Generation Alignment for End-to-End Task-Oriented Dialogue System. EMNLP 2023, Main Conference, 8261–8275, December 6-10, 2023. (CCF B类会议)
Fanqi Wan, Xinting Huang, Tao Yang, Xiaojun Quan, Wei Bi, Shuming Shi. Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration. EMNLP 2023, Main Conference, 8261–8275, 2023. (CCF B类会议)
Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu. APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models. EMNLP 2023, Main Conference, accepted, 2023. (CCF B类会议)
Hongzhan Chen, Siyue Wu, Xiaojun Quan, Rui Wang, Ming Yan, Ji Zhang. MCC-KD: Multi-CoT Consistent Knowledge Distillation. EMNLP 2023, Findings, 6805–6820, 2023. (CCF B类会议)
Tao Yang, Tianyuan Shi, Fanqi Wan, Xiaojun Quan, Qifan Wang, Bingzhe Wu, Jiaxiang Wu. PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection. EMNLP 2023, Findings, accepted, 2023. (CCF B类会议)
Siyue Wu, Hongzhan Chen, Xiaojun Quan, Qifan Wang and Rui Wang. AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression. ACL 2023, Main Conference, accepted, 2023. (CCF A类会议)
Fanqi Wan, Weizhou Shen, Ke Yang, Xiaojun Quan and Wei Bi. Multi-Grained Knowledge Retrieval for End-to-End Task-Oriented Dialog. ACL 2023, Main Conference, accepted, 2023. (CCF A类会议)
Zihong Liang, Xiaojun Quan and Qifan Wang. Disentangled Phonetic Representation for Chinese Spelling Correction. ACL 2023, Main Conference, accepted, 2023. (CCF A类会议)
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, Main Conference, accepted, 2023. (CCF A类会议)
Jinghao Deng, Fanqi Wan, Tao Yang, Xiaojun Quan and Rui Wang. Clustering-Aware Negative Sampling for Unsupervised Sentence Representation. ACL 2023, Findings, accepted, 2023. (CCF A类会议)
Weizhou Shen, Yeyun Gong, Yelong Shen, Song Wang, Xiaojun Quan, Nan Duan and Weizhu Chen. Joint Generator-Ranker Learning for Natural Language Generation. ACL 2023, Findings, accepted, 2023. (CCF A类会议)
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. ACL 2023, Findings, accepted, 2023. (CCF A类会议)
Xiaojun Quan, Siyue Wu, Junqing Chen, Weizhou Shen, and Jianxing Yu. Multi-Party Conversation Modeling for Emotion Recognition. IEEE Transactions on Affective Computing, 1-17, DOI: 10.1109/TAFFC.2023.3273589, 2023. (CCF B类期刊)
Tao Yang, Jinghao Deng, Xiaojun Quan, and Qifan Wang. Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection. AAAI 2023, to appear, 2023. (CCF A类会议)
Weizhou Shen, Xiaojun Quan, and Ke Yang. Generic Dependency Modeling for Multi-Party Conversation. ICASSP 2023, 04-10 June, 2023. (CCF B类会议)
Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang, Shaoliang Nie. AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning. NeurIPS 2022, to appear, 2022. (CCF A类会议)
Qifan Wang, Li Yang, Xiaojun Quan, Fuli Feng, Dongfang Liu, Zenglin Xu, Sinong Wang and Hao Ma. Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation. EMNLP 2022, to appear, 2022. (CCF B类会议)
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, to appear, 2022. (CCF B类会议)
Guanhuang Huang, Xiaojun Quan and Qifan Wang. Autoregressive Entity Generation for End-to-End Task-Oriented Dialog. COLING 2022, to appear, 2022. (CCF B类会议)
Liqi Yan, Yiming Cui, Qifan Wang, Xiangyu Zhang, Fuli Feng, Dongfang Liu, Xiaojun Quan. GL-RG: Global-Local Representation Granularity for Video Captioning. IJCAI 2022, to appear, 2022. (CCF A类会议)
Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan and Dongfang Liu. WebFormer: The Web-page Transformer for Structure Information Extraction. WWW 2022, to appear, 2022. (CCF A类会议)
Xiaojun Quan, Zhengcheng Min, Kun Li, and Yunyi Yang. Compound Aspect Extraction by Augmentation and Constituency Lattice. IEEE Transactions on Affective Computing, DOI: 10.1109/TAFFC.2022.3161683, 2022. (CCF B类期刊)
Feifan Yang, Tao Yang, Xiaojun Quan and Qinliang Su. Learning to Answer Psychological Questionnaire for Personality Detection. EMNLP 2021 (Findings), pages 1131–1142, 2021. (CCF B类会议)
Weizhou Shen, Siyue Wu, Yunyi Yang and Xiaojun Quan. Directed Acyclic Graph Network for Conversational Emotion Recognition. ACL 2021, Main Conference, Pages 1551–1560, August 1–6, 2021. （CCF A类会议）
Tao Yang, Feifan Yang, Haolan Ouyang and Xiaojun Quan. Psycholinguistic Tripartite Graph Network for Personality Detection. ACL 2021, Main Conference, Pages 4229–4239, August 1–6, 2021. （CCF A类会议）
Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Daxin Jiang and Nan Duan. Syntax-Enhanced Pre-trained Model. ACL 2021, Main Conference, Pages 5412–5422, August 1–6, 2021. （CCF A类会议）
Ruikun Luo, Guanhuan Huang and Xiaojun Quan. Bi-Granularity Contrastive Learning for Post-Training in Few-Shot Scene. ACL 2021, Findings, Pages 1733–1742, August 1–6, 2021. （CCF A类会议）
Yunhao Li, Yunyi Yang, Xiaojun Quan and Jianxing Yu. Retrieve & Memorize: Dialog Policy Learning with Multi-Action Memory. ACL 2021, Findings, Pages 447–459, August 1–6, 2021. （CCF A类会议）
Jianxing Yu; Qinliang Su; Xiaojun Quan; Jian Yin. Multi-hop Reasoning Question Generation and Its Application. IEEE Transactions on Knowledge and Data Engineering, 10.1109/TKDE.2021.3073227, 2021. （CCF A类期刊）
Jiahao Wang, Minqian Liu, Xiaojun Quan. Progressive Dialogue State Tracking for Multi-Domain Dialogue Systems. ICASSP 2021, Pages 7668–7672, 2021. （CCF B类会议）
Weizhou Shen, Junqing Chen, Xiaojun Quan, Zhixian Xie. DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition. AAAI 2021, Pages 13789-13797, 2021.（CCF A类会议）
Yunyi Yang, Yunhao Li, Xiaojun Quan. UBAR: Towards Fully End-to-End Task-Oriented Dialog System with GPT-2. AAAI 2021, Pages 14230-14238, 2021.（CCF A类会议）
FeiFan Yang, Xiaojun Quan, Yunyi Yang, Jianxing Yu. Multi-Document Transformer for Personality Detection. AAAI 2021, Pages 14221-14229, 2021.（CCF A类会议）
Jiahai Wang, Zhiyue Liu, Xin Du, Yanghui Rao, Xiaojun Quan. GSMNet: Global Semantic Memory Network for Aspect-Level Sentiment Classification. IEEE Intelligent Systems, doi: 10.1109/MIS.2020.3042253, 2021.
Yunyi Yang, Kun Li, Xiaojun Quan, Weizhou Shen and Qinliang Su. Constituency Lattice Encoding for Aspect Term Extraction. COLING 2020, Pages 844–855, Barcelona, Spain (Online), 2020.（CCF B类会议）
Wuya Chen, Xiaojun Quan, Chunyu Kit, Zhengcheng Min and Jiahai Wang. Multi-choice Relational Reasoning for Machine Reading Comprehension. COLING 2020, Pages 6448–6458, Barcelona, Spain (Online), 2020.（CCF B类会议）
Zenan Xu, Zijing Ou, Qinliang Su, Jianxing Yu, Xiaojun Quan and ZhenKun Lin. Embedding Dynamic Attributed Networks by Modeling the Evolution Processes. COLING 2020, Pages 6809–6819, Barcelona, Spain (Online), 2020.（CCF B类会议）
Kai Wang, Weizhou Shen, Yunyi Yang, Xiaojun Quan and Rui Wang. Relational Graph Attention Network for Aspect-based Sentiment Analysis. ACL 2020, Pages 3229-3238, 2020.（CCF A类会议）
Kai Wang, Junfeng Tian, Rui Wang, Xiaojun Quan and Jianxing Yu. Multi-Domain Dialogue Acts and Response Co-Generation. ACL 2020, Pages 7125-7134, 2020.（CCF A类会议）
Kun Li, Chengbo Chen, Xiaojun Quan, Qing Ling and Yan Song. Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation. ACL 2020, Pages 7056-7066, 2020.（CCF A类会议）
Jianxing Yu, Wei Liu, Shuang Qiu, Qinliang Su, Kai Wang, Xiaojun Quan and Jian Yin. Low-Resource Generation of Multi-hop Reasoning Questions. ACL 2020, Pages 6729-6739, 2020.（CCF A类会议）
Yuanhe Tian, Yan Song, Xiang Ao, Fei Xia, Xiaojun Quan, Tong Zhang and Yonggang Wang. Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge. ACL 2020, Pages 8286-8296, 2020.（CCF A类会议）
Jianxing Yu, Xiaojun Quan, Qinliang Su, Jian Yin. Generating Multi-hop Reasoning Questions to Improve Machine Reading Comprehension, The Web Conference 2020 (WWW 2020), Pages 281–291, April 2020. （CCF A类会议）
Kai Wang, Xiaojun Quan, Rui Wang. BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization, The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy, July 28 - August 2, 2019.（CCF A类会议）
Zenan Xu, Qinliang Su, Xiaojun Quan and Weijia Zhang. A Deep Neural Information Fusion Architecture for Textual Network Embeddings, The 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019), Hong Kong, China, Nov 3-7 2019.（CCF B类会议）
Wuya Chen, Xiaojun Quan and Chengbo Chen. Gated Convolutional Networks for Common-sense Machine Comprehension. The 25th International Conference on Neural Information Processing (ICONIP 2018), Siem Reap, Cambodia, December 13-16, 2018.
Xiaojun Quan, Chunyu KIT, Wuya Chen. Collaborative Matching for Sentence Alignment. The Seventeenth China National Conference on Computational Linguistics (CCL 2018), Changsha, China, October 19-21, 2018.
Xiaojun Quan, Chunyu Kit, Yong Ge, Sinno Jialin Pan. Short and Sparse Text Topic Modeling via Self-Aggregation. International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 25 - 31, 2015.
Rongcheng Lin, Huayu Li, Xiaojun Quan, Richang Hong, Zhiang Wu, Yong Ge. Regularizing Flat Latent Variables with Hierarchical Structures. International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 25 - 31, 2015.
Xiaojun Quan, Qifan Wang, Ying Zhang, Luo Si, Wenyin Liu. Latent Discriminative Models for Social Emotion Detection with Emotional Dependency. ACM Transactions on Information Systems, 34 (1), 2, 2015.
Xiaojun Quan, Chunyu Kit. Towards non-monotonic sentence alignment. Information Sciences, 323, 34-47, 2015.
Xiaojun Quan, Chunyu Kit, Yan Song. Non-Monotonic Sentence Alignment via Semisupervised Learning. The 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013), Sofia, Bulgaria, August 4-9, 2013.
Ying Zhang, Yi Fang, Xiaojun Quan, Lin Dai, Luo Si, Xiaojie Yuan. Emotion tagging for comments of online news by meta classification with heterogeneous information sources. ACM Conference on Research and Development in Information Retrieval (SIGIR 2012), poster, Portland, Oregon, August 12-16, 2012.
Xiaojun Quan, Liu Wenyin, Bite Qiu. Term Weighting Schemes for Question Categorization. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 33 (5), 1009-1021, 2011.
Xiaojun Quan, Yao Lu, Wenyin Liu. Towards modeling question popularity in community question answering. IEEE International Conference Series on Cognitive Informatics and Cognitive Computing (IEEE ICCI*CC), Kyoto, Japan, August 22-24, 2012.
Yanghui Rao, Xiaojun Quan, Liu Wenyin, Qing Li, Mingliang Chen. Building word-emotion mapping dictionary for online news. The 1st International Workshop on Sentiment Discovery from Affective Data, 2012.
Xiaojun Quan, Liu Wenyin, Wenyu Dou. Longitudinal Sales Responses with Online Reviews. IEEE 11th International Conference on Data Mining Workshops (ICDM Workshops), 2011.
Yao Lu, Xiangfei Kong, Xiaojun Quan, Wenyin Liu, Yinlong Xu. Exploring the Sentiment Strength of User Reviews. International Conference Web-Age Information Management (WAIM), 2010.
Wanpeng Song, Liu Wenyin, Naijie Gu, Xiaojun Quan. User Feedback for Improving Question Categorization in Web-Based Question Answering Systems. APWeb/WAIM Workshops, 2009.
Yao Lu, Xiaojun Quan, Xingliang Ni, Wenyin Liu, Yinlong Xu. Latent Link Analysis for Expert Finding in User-Interactive Question Answering Services. SKG 2009, 2009.
Xingliang Ni, Zhi Lu, Xiaojun Quan, Wenyin Liu, Bei Hua, Short Text Clustering for Search Results. APWeb 2009, 2009.
Xiaojun Quan, Enhong Chen, Qiming Luo, Hui Xiong. Adaptive label-driven scaling for latent semantic indexing. ACM Conference on Research and Development in Information Retrieval (SIGIR 2008), poster, 2008.
Yanghui Rao, Qing Li, Wenyin Liu, Qingyuan Wu, Xiaojun Quan. Affective topic model for social emotion detection. Neural Networks, 58, 29-37, 2014.
Jingsheng Lei, Yanghui Rao, Qing Li, Xiaojun Quan, Liu Wenyin. Towards building a social emotion detection system for online news. Future Generation Computer Systems, 37, 438-448, 2014.
Xiaojun Quan, Yao Lu, Feifei Xu, Jingsheng Lei, Wenyin Liu. Mathematical modeling of question popularity in user-interactive QA systems. Journal of Advanced Mathematics and Applications, 2013.
Liuzhi Yin, Yong Ge, Keli Xiao, Xuehua Wang, Xiaojun Quan. Feature selection for high-dimensional imbalanced data. Neurocomputing, 105, 3-11, 2013.
Xiaojun Quan, Liu Wenyin, Wenyu Dou, Hui Xiong, Yong Ge. Link Graph Analysis for Business Site Selection. Computer, 45 (3), 64-69, 2012.
Liu Wenyin, Gang Liu, Bite Qiu, Xiaojun Quan. Antiphishing through Phishing Target Discovery. IEEE Internet Computing, 16 (2), 52-61, 2012.
Xingliang Ni, Yao Lu, Xiaojun Quan, Liu Wenyin, Bei Hua. User interest modeling and its application for question recommendation in user-interactive question answering systems. Information Processing & Management, 48 (2), 218-233, 2012.
Yao Lu, Xiaojun Quan, Jingsheng Lei, Xingliang Ni, Wenyin Liu, Yinlong Xu. Semantic Link Analysis for Finding Answer Experts. Journal of Information Science and Engineering, 28 (1), 51-65, 2012.
Xiaojun Quan, Liu Wenyin. Analyzing Question Attractiveness in Community Question Answering. Modern Advances in Intelligent Systems and Tools, 141-146, 2012.
Wanpeng Song, Liu Wenyin, Naijie Gu, Xiaojun Quan, Tianyong Hao. Automatic categorization of questions for user-interactive question answering. Information Processing & Management, 47 (2), 147-156, 2011.
Xingliang Ni, Xiaojun Quan, Zhi Lu, Liu Wenyin, Bei Hua. Short text clustering by finding core terms. Knowledge and Information Systems (KAIS), 27 (3), 345-365, 2011.
Xiaojun Quan, Gang Liu, Zhi Lu, Xingliang Ni, Liu Wenyin. Short text similarity based on probabilistic topics. Knowledge and Information Systems (KAIS), 25 (3), 473-491, 2010.
Liu Wenyin, Ning Fang, Xiaojun Quan, Bite Qiu, Gang Liu. Discovering phishing target based on semantic link network. Future Generation Computer Systems, 26 (3), 381-388, 2010.
Liu Wenyin, Xiaojun Quan, Min Feng, Bite Qiu. A short text modeling method combining semantic and statistical information. Information Sciences, 180 (20), 4031-4041, 2010.

主要学术兼职

Area Chair: EMNLP 2020
Section Chair：IJCAI 2019
PC Memeber：ACL 2021, NeurIPS 2020, ACL 2020, IJCAI 2020, AAAI 2019, IJCAI 2019, IJCAI 2018, IJCAI 2017, KDD 2016，SDM 2017，SDM 2016，EMNLP 2016，SDM 2015，ICDM 2014，ICDM 2013
Journal Reviewer：TKDE，TOIS，TIFS，TPDS，KAIS，Neurocomputing，WWW Journal

教授课程

人工神经网络（2024春）
自然语言处理（2023秋）
人工神经网络（2023春）
自然语言处理导论（2022秋）
自然语言处理（2022春）
自然语言处理（2021秋）
机器学习与数据挖掘（2021春）
自然语言处理（2020秋）
机器学习与数据挖掘（2020春）
自然语言处理（2019秋）
机器学习（2019春）
数据分析实践（2018秋）

毕业研究生及去向：

● 沈维州(2019级博) -- 阿里通义实验室
● 杨涛(2020级博) -- 微信
● 吴思越(2021级硕) -- 微信
● 邓景豪(2021级硕) -- 字节跳动
● 梁子宏(2020级硕) -- 字节跳动
● 李云昊(2019级硕) -- 快手
● 杨云翊(2019级硕) -- 字节跳动
● 黄冠寰(2019级硕) -- 南方电网
● 杨飞帆(2020级硕) -- 阿里巴巴
● 陈俊卿(2020级硕) -- 京东
● 闵正铖(2020级硕) -- 广州供电局
● 王凯(2018级硕) -- 快手
● 李坤(2018级硕) -- 香港中文大学PhD
● 罗锐堃(2019级硕) -- 百度
● 谢智贤(2019级硕) -- 字节跳动
● 余玉洁(2019级硕) -- 联想
● 陈承勃(2018级硕) -- 华为
● 胡弘康(2018级硕) -- 科大讯飞
● 陈武亚(2017级硕) -- 网易
● 丘金宣(2017级硕) -- 百度
● 赖梓威(2017级硕) -- 字节跳动
● 邓豪(2017级硕) -- 拼多多