Hi! I’m Peng Fu (付鹏)，an Associate Professor with the Institute of Information Engineering (IIE), Chinese Academy of Sciences (CAS). I received the Ph.D degree from the University of Chinese Academy of Sciences (UCAS) under the supervision of Prof. Weiping Wang in 2018. I am also lucky to have opportunities to collaborate with Zheng Lin (Professor at IIE). My research interests include Sentiment Analysis, Machine Reading Comprehension, and Text Generation.

Email:fupeng[at]iie[dot]ac[dot]cn

Recent News

• 2024.05：One paper is accepted by findings of ACL 2024.
• 2023.12：One paper is accepted by AAAI 2024.

Publications

2024

• Peize Li, Qingyi Si, Peng Fu, Zheng Lin, Yan Wang: Object Attribute Matters in Visual Question Answering. AAAI 2024: 18545-18553
• Yan Wang, Peize Li, Qingyi Si, Hanwen Zhang, Wenyu Zang, Zheng Lin, Peng Fu: Cross-modality Multiple Relations Learning for Knowledge-based Visual Question Answering. ACM Trans. Multim. Comput. Commun. Appl. 20(3): 63:1-63:22 (2024)

2023

• Naibin Gu, Peng Fu, Xiyu Liu, Zhengxiao Liu, Zheng Lin, Weiping Wang: A Gradient Control Method for Backdoor Attacks on Parameter-Efficient Tuning. ACL, 2023
• Jiangnan Li, Mo Yu, Fandong Meng, Zheng Lin, Peng Fu, Weiping Wang, Jie Zhou: Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension. ACL, 2023
• Qingyi Si, Yuanxin Liu, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang: Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering. EMNLP 2023: 513-529
• Zhe Wen, Qingyi Si, Zheng Lin, Huan Liu, Peng Fu, Weiping Wang: Schema Item Matters in Knowledge Base Question Answering. IJCNN 2023: 1-8

2022

• Rui Liu, Zheng Lin, Huishan Ji, Jiangnan Li, Peng Fu, Weiping Wang: Target Really Matters: Target-aware Contrastive Learning and Consistency Regularization for Few-shot Stance Detection. COLING, 2022
• Qingyi Si, Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou: Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning. EMNLP (Findings), 2022
• Qingyi Si, Fandong Meng, Mingyu Zheng, Zheng Lin, Yuanxin Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou: Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA. EMNLP (Findings), 2022
• Yuanxin Liu, Fandong Meng, Zheng Lin, Jiangnan Li, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou: A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models. NeurIPS, 2022
• Yutong Tan, Zheng Lin, Peng Fu, Mingyu Zheng, Lanrui Wang, Yanan Cao, Weiping Wang: Detach and Attach: Stylized Image Captioning without Paired Stylized Dataset. ACM’MM, 2022
• Jiangnan Li, Fandong Meng, Zheng Lin, Rui Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou: Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge. IJCAI, 2022
• Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou: Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training. NAACL, 2022
• Huishan Ji, Zheng Lin, Peng Fu, Weiping Wang: Cross-Target Stance Detection Via Refined Meta-Learning. ICASSP 2022: 7822-7826
• Rui Liu, Zheng Lin, Peng Fu, Yuanxin Liu, Weiping Wang: Connecting Targets via Latent Topics And Contrastive Learning: A Unified Framework For Robust Zero-Shot and Few-Shot Stance Detection. ICASSP 2022: 7812-7816
• Jingzi Gu, Dayan Wu, Peng Fu, Bo Li, Weiping Wang: Deep Piecewise Hashing for Efficient Hamming Space Retrieval. ICASSP 2022: 3199-3203

2021

• Jiangnan Li, Zheng Lin, Peng Fu, Weiping Wang: Past, Present, and Future: Conversational Emotion Recognition through Structural Modeling of Psychological Knowledge. EMNLP (Findings) 2021: 1204-1214
• Jiangnan Li, Hongliang Pan, Zheng Lin, Peng Fu, Weiping Wang: Sarcasm Detection with Commonsense Knowledge. IEEE/ACM TASLP, VOL.29, 2021: 3192-3201
• Qingyi Si, Zheng Lin, Mingyu Zheng, Peng Fu, Weiping Wang: Check It Again: Progressive Visual Question Answering via Visual Entailment. ACL/IJCNLP (1) 2021: 4101-4110
• Qingyi Si, Yuanxin Liu, Peng Fu, Zheng Lin, Jiangnan Li, Weiping Wang: Learning Class-Transductive Intent Representations for Zero-shot Intent Detection. IJCAI 2021: 3922-3928
• Miaojin Li, Peng Fu, Zheng Lin, Weiping Wang, Wenyu Zang: Exemplar Guided Latent Pre-trained Dialogue Generation. ICCS (2) 2021: 118-132

2020

• Hongliang Pan, Zheng Lin, Peng Fu, Yatao Qi, Weiping Wang: Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm Detection. EMNLP (Findings) 2020: 1383-1392. [code]
• Hongliang Pan, Zheng Lin, Peng Fu, Weiping Wang: Modeling the Incongruity Between Sentence Snippets for Sarcasm Detection. ECAI 2020: 2132-2139
• Rui Liu, Zheng Lin, Peng Fu, Weiping Wang: Reinforced Keyphrase Generation with BERT-based Sentence Scorer. ISPA/BDCloud/SocialCom/SustainCom 2020: 1-8
• Miaojin Li, Peng Fu, Zheng Lin, Weiping Wang: Parallel Variational Autoencoders for Multiple Responses Generation. ISPA/BDCloud/SocialCom/SustainCom 2020: 128-136

2019 and before

• Yue Geng, Zheng Lin, Peng Fu, Weiping Wang: Rumor Detection on Social Media: A Multi-view Model Using Self-attention Mechanism. ICCS (1) 2019: 339-352
• Ran Li, Zheng Lin, Peng Fu, Weiping Wang, Gang Shi: EmoMix: Building an Emotion Lexicon for Compound Emotion Analysis. ICCS (1) 2019: 353-368
• Ran Li, Qingyi Si, Peng Fu, Zheng Lin, Weiping Wang, Gang Shi: A Multi-channel Neural Network for Imbalanced Emotion Recognition. ICTAI 2019: 353-360
• Peng Fu, Zheng Lin, Fengcheng Yuan, Weiping Wang, Dan Meng: Learning Sentiment-Specific Word Embedding via Global Sentiment Representation. AAAI 2018: 4808-4815
• Peng Fu, Zheng Lin, Hailun Lin, Fengcheng Yuan, Weiping Wang, Dan Meng: Quantifying the Effect of Sentiment on Topic Evolution in Chinese Microblog. APWeb (1) 2016: 531-542

Education

• Sep. 2014 - Jun. 2018, Ph.D. in Computer Application, University of Chinese Academy of Sciences
• Sep. 2007 - Aug. 2014, Bachelor and Master in Computer Science, School of Computer Science and Technology, Xidian University