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• Towards Rich Emotions in 3D Avatars: A Text-to-3D Avatar Generation Benchmark
Haidong Xu, Meishan Zhang, Hao Ju, Zhedong Zheng, Hongyuan Zhu, Erik Cambria, Min Zhang, Hao Fei
arXiv 2024 [paper] [code]
• Grounding is All You Need? Dual Temporal Grounding for Video Dialog
You Qin, Wei Ji, Xinze Lan, Hao Fei, Xun Yang, Dan Guo, Roger Zimmermann, Lizi Liao
arXiv 2024 [paper]
• A Survey on Benchmarks of Multimodal Large Language Models
Jian Li, Weiheng Lu, Hao Fei, Meng Luo, Ming Dai, Min Xia, Yizhang Jin, Zhenye Gan, Ding Qi, Chaoyou Fu, Ying Tai, Wankou Yang, Yabiao Wang, Chengjie Wang
arXiv 2024 [paper] [code]
• Grammar Induction from Visual, Speech and Text
Yu Zhao, Hao Fei, Shengqiong Wu, Meishan Zhang, Min Zhang, Tat-Seng Chua
arXiv 2024 [paper]
• Towards Semantic Equivalence of Tokenization in Multimodal LLM
Shengqiong Wu, Hao Fei, Xiangtai Li, Jiayi Ji, Hanwang Zhang, Tat-Seng Chua, Shuicheng Yan
arXiv 2024 [paper] [code]
• Modeling Unified Semantic Discourse Structure for High-quality Headline Generation
Minghui Xu, Hao Fei, Fei Li, Shengqiong Wu, Rui Sun, Chong Teng, Donghong Ji
arXiv 2024 [paper]
• ControlRetriever: Harnessing the Power of Instructions for Controllable Retrieval
Kaihang Pan, Juncheng Li, Hongye Song, Hao Fei, Wei Ji, Shuo Zhang, Jun Lin, Xiaozhong Liu, Siliang Tang
arXiv 2023 [paper]
• Subband-based Generative Adversarial Network for Non-parallel Many-to-many Voice Conversion
Jian Ma, Zhedong Zheng, Hao Fei, Feng Zheng, Tat-seng Chua, Yi Yang
arXiv 2022 [paper]
• A Survey on Benchmarks of Multimodal Large Language Models
Jian Li, Weiheng Lu, Hao Fei, Meng Luo, Ming Dai, Min Xia, Yizhang Jin, Zhenye Gan, Ding Qi, Chaoyou Fu, Ying Tai, Wankou Yang, Yabiao Wang, Chengjie Wang
arXiv 2024
[paper] [data]
• A Survey of Ontology Expansion for Conversational Understanding
Jinggui Liang, Yuxia Wu, Yuan Fang, Hao Fei, Lizi Liao
EMNLP 2024
[paper] [data]
• CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models
Zihui Cheng, Qiguang Chen, Jin Zhang, Hao Fei, Xiaocheng Feng, Wanxiang Che, Min Li, Libo Qin
AAAI 2025
[paper]
• Towards Rich Emotions in 3D Avatars: A Text-to-3D Avatar Generation Benchmark
Haidong Xu, Meishan Zhang, Hao Ju, Zhedong Zheng, Hongyuan Zhu, Erik Cambria, Min Zhang, Hao Fei
Preprint 2024
[paper] [data]
• PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysis
Meng Luo, Hao Fei*, Bobo Li, Shengqiong Wu, Qian Liu, Soujanya Poria, Erik Cambria, Mong-Li Lee, Wynne Hsu
ACM MM 2024
[paper] [data]
• SpeechEE: A Novel Benchmark for Speech Event Extraction
Bin Wang, Meishan Zhang, Hao Fei*, Yu Zhao, Bobo Li, Shengqiong Wu, Wei Ji, Min Zhang
ACM MM 2024
[paper] [data]
• Recognizing Everything from All Modalities at Once: Grounded Multimodal Universal Information Extraction
Meishan Zhang, Hao Fei*, Bin Wang, Shengqiong Wu, Yixin Cao, Fei Li, Min Zhang
ACL 2024 (Findings) 2024
[paper] [data]
• MMLSCU: A Dataset for Multi-modal Multi-domain Live Streaming Comment Understanding
Zixiang Meng, Qiang Gao, Di Guo, Yunlong Li, Bobo Li, Hao Fei, Shengqiong Wu, Fei Li, Chong Teng, Donghong Ji
TheWebConf (WWW) 2024
[paper]
• DiaASQ: A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis
Bobo Li, Hao Fei, Yuhan Wu, Jinsong Zhang, Shengqiong Wu, Jingye Li, Yijiang Liu, Lizi Liao, Tat-Seng Chua, Fei Li, Donghong Ji
ACL (Findings) 2023
[paper] [data]
• Towards Complex-query Referring Image Segmentation: A Novel Benchmark
Wei Ji, Li Li, Hao Fei*, Xiangyan Liu, Xun Yang, Juncheng Li, Roger Zimmermann
TOMM 2024
[paper] [data]
• ECQED: Emotion-Cause Quadruple Extraction in Dialogs
Li Zheng, Donghong Ji, Hao Fei, Shengqiong Wu, Jingye Li, Bobo Li, Chong Teng
Preprint 2023
[paper]
• DialogRE^C+: An Extension of DialogRE to Investigate How Much Coreference Helps Relation Extraction in Dialogs
Yiyun Xiong, Mengwei Dai, Fei Li, Hao Fei, Bobo Li, Shengqiong Wu, Chong Teng and Donghong Ji
NLPCC 2023
[paper] [data]
• Nominal Compound Chain Extraction: A New Task for Semantic-Enriched Lexical Chain
Bobo Li, Hao Fei, Yafeng Ren, Donghong Ji
NLPCC 2020
[paper] [data]
• Combating Multimodal LLM Hallucination via Bottom-up Holistic Reasoning
Shengqiong Wu, Hao Fei*, Liangming Pan, William Yang Wang, Shuicheng Yan, Tat-Seng Chua
AAAI 2025
[paper]
• VEGAS: Towards Visually Explainable and Grounded Artificial Social Intelligence
Hao Li, Hao Fei, Zechao Hu, Zhengwei Yang, Zheng Wang
AAAI 2025
[paper]
• Multi-Granular Multimodal Clue Fusion for Meme Understanding
Li Zheng, Hao Fei, Ting Dai, Zuquan Peng, Fei Li, Huisheng Ma, Chong Teng, Donghong Ji
AAAI 2025
[paper]
• CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models
Zihui Cheng, Qiguang Chen, Jin Zhang, Hao Fei, Xiaocheng Feng, Wanxiang Che, Min Li, Libo Qin
AAAI 2025
[paper]
• Divide-Solve-Combine: An Interpretable and Accurate Prompting Framework for Zero-shot Multi-Intent Detection
Libo Qin, Qiguang Chen, Jingxuan Zhou, Jin Wang, Hao Fei, Wanxiang Che, Min Li
AAAI 2025
[paper]
• VITRON: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing
Hao Fei, Shengqiong Wu, Hanwang Zhang, Tat-Seng Chua, Shuicheng Yan
NeurIPS 2024
[paper] [code] [新智元]
• Synergistic Dual Spatial-aware Generation of Image-to-text and Text-to-image
Yu Zhao, Hao Fei*, Xiangtai Li, Libo Qin, Jiayi Ji, Hongyuan Zhu, Meishan Zhang, Min Zhang
NeurIPS 2024
[paper]
• OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding
Tao Zhang, Xiangtai Li, Hao Fei, Shengqiong Wu, Shunping Ji, Chen Change Loy, Shuicheng Yan
NeurIPS 2024
[paper] [code]
• RG-SAN: Rule-Guided Spatial Awareness Network for End-to-End 3D Referring Expression Segmentation
Changli Wu, Qi Chen, Haowei Wang, Yiwei Ma, You Huang, Gen Luo, Hao Fei, Jiayi Ji, Xiaoshuai Sun, Rongrong Ji
NeurIPS 2024
(Oral) [paper]
• Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration
Kaihang Pan, Zhaoyu Fan, Juncheng Li, Qifan Yu, Hao Fei, Siliang Tang, Richang Hong, Hanwang Zhang, Qianru Sun
NeurIPS 2024
(Spotlight) [paper] [code]
• Unified Generative and Discriminative Training for Multi-modal Large Language Models
Wei Chow, Juncheng Li, Kaihang Pan, Qifan Yu, Hao Fei, Zhiqi Ge, Shuaiyang, Siliang Tang, Hanwang Zhang, Qianru Sun
NeurIPS 2024
[paper]
• ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models
Mingrui Wu, Xinyue Cai, Jiayi Ji, Jiale Li, Oucheng Huang, Gen Luo, Hao Fei, Guannan Jiang, Xiaoshuai Sun, Rongrong Ji
NeurIPS 2024
[paper] [code]
• What Factors Affect Multi-modal In-Context Learning? An In-Depth Exploration
Libo Qin, Qiguang Chen, Hao Fei, Zhi Chen, Min Li, Wanxiang Che
NeurIPS 2024
[paper]
• Guided Knowledge Generation with Language Models for Commonsense Reasoning
Xiao Wei, Haoran Chen, Hang Yu, Hao Fei, Qian Liu
EMNLP (Findings) 2024
[paper]
• Divide and Conquer: Legal Concept-guided Criminal Court View Generation
Qi Xu, Xiao Wei, Hang Yu, Qian Liu, Hao Fei
EMNLP (Findings) 2024
[paper]
• A Survey of Ontology Expansion for Conversational Understanding
Jinggui Liang, Yuxia Wu, Yuan Fang, Hao Fei, Lizi Liao
EMNLP 2024
[paper] [code]
• PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysis
Meng Luo, Hao Fei*, Bobo Li, Shengqiong Wu, Qian Liu, Soujanya Poria, Erik Cambria, Mong-Li Lee, Wynne Hsu
ACM MM 2024
(Oral) [paper] [code]
• SpeechEE: A Novel Benchmark for Speech Event Extraction
Bin Wang, Meishan Zhang, Hao Fei*, Yu Zhao, Bobo Li, Shengqiong Wu, Wei Ji, Min Zhang
ACM MM 2024
[paper] [code]
• Self-Adaptive Fine-grained Multi-modal Data Augmentation for Semi-supervised Muti-modal Coreference Resolution
Li Zheng, Boyu Chen, Hao Fei, Fei Li, Shengqiong Wu, Lizi Liao, Donghong Ji, Chong Teng
ACM MM 2024
[paper]
• De-fine: Decomposing and Refining Visual Programs with Auto-Feedback
Minghe Gao, Juncheng Li, Hao Fei, Wei Ji, Guoming Wang, Wenqiao Zhang, Siliang Tang, Yueting Zhuang
ACM MM 2024
(Oral) [paper]
• Recognizing Everything from All Modalities at Once: Grounded Multimodal Universal Information Extraction
Meishan Zhang, Hao Fei*, Bin Wang, Shengqiong Wu, Yixin Cao, Fei Li, Min Zhang
ACL (Findings) 2024
[paper] [code]
• Faithful Logical Reasoning via Symbolic Chain-of-Thought
Jundong Xu, Hao Fei*, Liangming Pan, Qian Liu, Mong-Li Lee, Wynne Hsu
ACL 2024
[paper] [code]
• Revisiting Structured Sentiment Analysis as Latent Dependency Graph Parsing
Chengjie Zhou, Bobo Li, Hao Fei, Fei Li, Chong Teng, Donghong Ji
ACL 2024
[paper] [code]
• ProtT3: Protein-to-Text Generation for Text-based Protein Understanding
Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
ACL 2024
[paper] [code]
• Synergizing Large Language Models and Pre-Trained Smaller Models for Conversational Intent Discovery
Jinggui Liang, Lizi Liao, Hao Fei, Jing Jiang
ACL (Findings) 2024
[paper] [code]
• Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition
Hao Fei, Shengqiong Wu, Wei Ji, Hanwang Zhang, Meishan Zhang, Mong-Li Lee, Wynne Hsu
ICML 2024
(Oral) [paper] [code] [机器之心]
• NExT-GPT: Any-to-Any Multimodal LLM
Shengqiong Wu, Hao Fei*, Leigang Qu, Wei Ji, Tat-Seng Chua
ICML 2024
(Oral, Most Influential Papers by Paper Digest (ICML 2024), 2024 WAIC Youth Outstanding Paper Award) [paper] [code] [新智元]
• Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning
Long Qian, Juncheng Li, Yu Wu, Yaobo Ye, Hao Fei, Tat-Seng Chua, Yueting Zhuang, Siliang Tang
ICML 2024
[paper]
• Multi-view Counterfactual Contrastive Learning for Fact-checking Fake News Detection
Yongcheng Zhang, Lingou Kong, Sheng Tian, Hao Fei, Changpeng Xiang, Huan Wang, Xiaomei Wei
ICMR 2024
[paper]
• Actively Learn from LLMs with Uncertainty Propagation for Generalized Category Discovery
Jinggui Liang, Lizi Liao, Hao Fei, Bobo Li, Jing Jiang
NAACL 2024
[paper]
• NUS-Emo at SemEval-2024 Task 3: Instruction-Tuning LLM for Multimodal Emotion-Cause Analysis in Conversations
Meng Luo, Han Zhang, Shengqiong Wu, Bobo Li, Hong Han, Hao Fei*
SemEval Workshop 2024
(2nd Place) [paper] [code]
• I3: Intent-Introspective Retrieval Conditioned on Instructions
Kaihang Pan, Juncheng Li, Wenjie Wang, Hao Fei, Hongye Song, Wei Ji, Jun Lin, Xiaozhong Liu, Tat-Seng Chua, Siliang Tang
SIGIR 2024
[paper]
• Dysen-VDM: Empowering Dynamics-aware Text-to-Video Diffusion with LLMs
Hao Fei, Shengqiong Wu, Wei Ji, Hanwang Zhang, Tat-Seng Chua
CVPR 2024
[paper] [code] [PaperWeekly]
• LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning
Sijin Chen, Xin Chen, Chi Zhang, Mingsheng Li, Gang Yu, Hao Fei, Hongyuan Zhu, Jiayuan Fan, Tao Chen
CVPR 2024
[paper] [code]
• What Factors Influence LLMs’ Judgments? A Case Study on Question Answering
Lei Chen, Bobo Li, Li Zheng, Haining Wang, Zixiang Meng, Runfeng Shi, Hao Fei, Jun Zhou, Fei Li, Chong Teng and Donghong Ji
COLING 2024
[paper]
• MMLSCU: A Dataset for Multi-modal Multi-domain Live Streaming Comment Understanding
Zixiang Meng, Qiang Gao, Di Guo, Yunlong Li, Bobo Li, Hao Fei, Shengqiong Wu, Fei Li, Chong Teng, Donghong Ji
TheWebConf (WWW) 2024
[paper]
• In-Context Learning for Few-Shot Nested Named Entity Recognition
Meishan Zhang, Bin Wang, Hao Fei*, Min Zhang
ICASSP 2024
[paper]
• Reverse Multi-Choice Dialogue Commonsense Inference with Graph-of-Thought
Li Zheng, Hao Fei, Fei Li1, Bobo Li, Lizi Liao, Donghong Ji, Chong Teng
AAAI 2024
[paper] [code]
• Harnessing Holistic Discourse Features and Triadic Interaction for Sentiment Quadruple Extraction in Dialogues
Bobo Li, Hao Fei, Lizi Liao, Yu Zhao, Fangfang Su, Fei Li, Donghong Ji
AAAI 2024
[paper]
• Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction
Kangkang Lu, Yanhua Yu, Hao Fei, Xuan Li, Zixuan Yang, Zirui Guo, Meiyu Liang, Mengran Yin, Tat-Seng Chua
AAAI 2024
[paper]
• Molca: Molecular graph-language modeling with cross-modal projector and uni-modal adapter
Zhiyuan Liu, Sihang Li, Yanchen Luo, Hao Fei, Yixin Cao, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua
EMNLP 2023
[paper] [code]
• VPGTrans: Transfer Visual Prompt Generator across LLMs
Ao Zhang, Hao Fei*, Yuan Yao*, Wei Ji, Li Li, Zhiyuan Liu, Tat-Seng Chua
NeurIPS 2023
[paper] [code] [新智元]
• Imagine That! Abstract-to-Intricate Text-to-Image Synthesis with Scene Graph Hallucination Diffusion
Shengqiong Wu, Hao Fei*, Hanwang Zhang, Tat-Seng Chua
NeurIPS 2023
[paper] [code]
• LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation
Leigang Qu, Shengqiong Wu, Hao Fei*, Liqiang Nie, Tat-Seng Chua
ACM MM 2023
[paper] [code]
• Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition
Bobo Li, Hao Fei, Lizi Liao, Yu Zhao, Chong Teng, Tat-Seng Chua, Donghong Ji, Fei Li
ACM MM 2023
[paper]
• Constructing Holistic Spatio-Temporal Scene Graph for Video Semantic Role Labeling
Yu Zhao, Hao Fei*, Yixin Cao, Bobo Li, Meishan Zhang, Jianguo Wei, Min Zhang, Tat-Seng Chua
ACM MM 2023
[paper]
• Partial Annotation-based Video Moment Retrieval via Iterative Learning
Wei Ji, Renjie Liang, Lizi Liao, Hao Fei*, Fuli Feng
ACM MM 2023
[paper]
• DialogRE^C+: An Extension of DialogRE to Investigate How Much Coreference Helps Relation Extraction in Dialogs
Yiyun Xiong, Mengwei Dai, Fei Li, Hao Fei, Bobo Li, Shengqiong Wu, Chong Teng and Donghong Ji
NLPCC 2023
[paper] [code]
• Reasoning Implicit Sentiment with Chain-of-Thought Prompting
Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li, Tat-Seng Chua
ACL (Short) 2023
[paper] [code] [Paperweakly]
• Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucination
Hao Fei, Qian Liu, Meishan Zhang, Min Zhang, Tat-Seng Chua
ACL 2023
[paper] [code]
• Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction
Hao Fei, Meishan Zhang, Min Zhang, Tat-Seng Chua
ACL (Findings) 2023
[paper] [code]
• Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling
Shengqiong Wu, Hao Fei*, Yixin Cao, Lidong Bing, Tat-Seng Chua
ACL 2023
(Paper Award Nomination, 1.6%) [paper] [code]
• Cross2StrA: Unpaired Cross-lingual Image Captioning with Cross-lingual Cross-modal Structure-pivoted Alignment
Shengqiong Wu, Hao Fei*, Wei Ji, Tat-Seng Chua
ACL 2023
[paper]
• Generating Visual Spatial Description via Holistic 3D Scene Understanding
Yu Zhao, Hao Fei*, Wei Ji, Jianguo Wei, Meishan Zhang, Min Zhang, Tat-Seng Chua
ACL 2023
[paper] [code] [Paperweakly]
• DiaASQ: A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis
Bobo Li, Hao Fei, Yuhan Wu, Jinsong Zhang, Shengqiong Wu, Jingye Li, Yijiang Liu, Lizi Liao, Tat-Seng Chua, Fei Li, Donghong Ji
ACL (Findings) 2023
[paper] [code] [Paperweakly]
• LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model
Hao Fei, Shengqiong Wu, Jingye Li, Bobo Li, Fei Li, Libo Qin, Meishan Zhang, Min Zhang, Tat-Seng Chua
NeurIPS 2022
(Spotlight) [paper] [code]
• Matching Structure for Dual Learning
Hao Fei, Shengqiong Wu, Yafeng Ren, Meishan Zhang
ICML 2022
[paper] [code]
• Effective Token Graph Modeling using a Novel Labeling Strategy for Structured Sentiment Analysis
Wenxuan Shi, Fei Li, Jingye Li, Hao Fei, Donghong Ji
ACL 2022
[paper] [code]
• Unified Named Entity Recognition as Word-Word Relation Classification
Jingye Li#, Hao Fei#, Jiang Liu, Shengqiong Wu, Meishan Zhang, Donghong Ji, Fei Li
AAAI 2022
(Most Influential Papers by Paper Digest (AAAI 2022)) [paper] [code] [Paperweekly]
• Mastering the Explicit Opinion-role Interaction: Syntax-aided Neural Transition System for Unified Opinion Role Labeling
Shengqiong Wu, Hao Fei*, Fei Li, Donghong Ji, Meishan Zhang, Yijiang Liu, Chong Teng
AAAI 2022
[paper] [code]
• Mutual Disentanglement Learning for Joint Fine-Grained Sentiment Classification and Controllable Text Generation
Hao Fei, Chenliang Li, Donghong Ji, Fei Li
SIGIR 2022
[paper] [code] [情感计算]
• Making Decision like Human: Joint Aspect Category Sentiment Analysis and Rating Prediction with Fine-to-Coarse Reasoning
Hao Fei, Jingye Li, Yafeng Ren, Meishan Zhang, Donghong Ji
TheWebConf (WWW) 2022
[paper]
• Global Inference with Explicit Syntactic and Discourse Structures for Dialogue-Level Relation Extraction
Hao Fei, Jingye Li, Shengqiong Wu, Chenliang Li, Donghong Ji and Fei Li
IJCAI 2022
[paper] [code]
• Inheriting the Wisdom of Predecessors: A Multiplex Cascade Framework for Unified Aspect-based Sentiment Analysis
Hao Fei, Fei Li, Chenliang Li, Shengqiong Wu, Jingye Li and Donghong Ji
IJCAI 2022
[paper] [code]
• Conversational Semantic Role Labeling with Predicate-Oriented Latent Graph
Hao Fei, Shengqiong Wu, Meishan Zhang, Yafeng Ren and Donghong Ji
IJCAI 2022
[paper]
• Entity-centered Cross-document Relation Extraction
Fengqi Wang, Fei Li, Hao Fei, Jingye Li, Shengqiong Wu, Fangfang Su, Wenxuan Shi, Donghong Ji, Bo Cai
EMNLP 2022
[paper] [code]
• Conversation Disentanglement with Bi-Level Contrastive Learning
Chengyu Huang, Zheng Zhang, Hao Fei, Lizi Liao
EMNLP (Findings) 2022
[paper]
• Joint Alignment of Multi-Task Feature and Label Spaces for Emotion Cause Pair Extraction
Shunjie Chen, Xiaochuan Shi, Jingye Li, Shengqiong Wu, Hao Fei, Fei Li, Donghong Ji
COLING 2022
[paper] [code]
• OneEE: A One-Stage Framework for Fast Overlapping and Nested Event Extraction
Hu Cao, Jingye Li, Fangfang Su, Fei Li, Hao Fei, Shengqiong Wu, Bobo Li, Liang Zhao, Donghong Ji
COLING 2022
[paper] [code]
• Prompt-Based Generative Multi-label Emotion Prediction with Label Contrastive Learning
Yuyang Chai, Chong Teng, Hao Fei, Shengqiong Wu, Jingye Li, Ming Cheng, Donghong Ji, Fei Li
NLPCC 2022
[paper] [code]
• Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extraction with Rich Syntactic Knowledge
Shengqiong Wu#, Hao Fei#, Yafeng Ren, Donghong Ji, Jingye Li
IJCAI 2021
[paper] [code]
• Rethinking Boundaries: End-To-End Recognition of Discontinuous Mentions with Pointer Networks
Hao Fei, Donghong Ji, Bobo Li, Yijiang Liu, Yafeng Ren, Fei Li
AAAI 2021
[paper] [code]
• Encoder-Decoder Based Unified Semantic Role Labeling with Label-Aware Syntax
Hao Fei, Fei Li, Bobo Li, Donghong Ji
AAAI 2021
[paper] [code]
• End-to-end Semantic Role Labeling with Neural Transition-based Model
Hao Fei, Meishan Zhang, Bobo Li, Donghong Ji
AAAI 2021
[paper] [code]
• Better Combine Them Together! Integrating Syntactic Constituency and Dependency Representations for Semantic Role Labeling
Hao Fei, Shengqiong Wu, Yafeng Ren, Fei Li and Donghong Ji
ACL (Findings) 2021
[paper] [code]
• MRN: A Locally and Globally Mention-Based Reasoning Network for Document-Level Relation Extraction
Jingye Li, Kang Xu, Fei Li, Hao Fei, Yafeng Ren, Donghong Ji
ACL (Findings) 2021
[paper] [code]
• Latent Target-Opinion as Prior for Document-Level Sentiment Classification: A Variational Approach from Fine-Grained Perspective
Hao Fei, Yafeng Ren, Bobo Li, Shengqiong Wu, Donghong Ji
TheWebConf (WWW) 2021
[paper]
• Latent Emotion Memory for Multi-Label Emotion Classification
Hao Fei, Yue Zhang, Yafeng Ren, Donghong Ji
AAAI 2020
[paper] [code]
• Cross-Lingual Semantic Role Labeling with High-Quality Translated Training Corpus
Hao Fei, Meishan Zhang, Donghong Ji
ACL 2020
[paper] [code] [社媒派SMP]
• Modeling Local Contexts for Joint Dialogue Act Recognition and Sentiment Classification with Bi-channel Dynamic Convolutions
Jingye Li, Hao Fei, Donghong Ji
COLING 2020
[paper]
• Retrofitting Structure-aware Transformer Language Model for End Tasks
Hao Fei, Yafeng Ren, Donghong Ji
EMNLP 2020
[paper]
• Mimic and Conquer: Heterogeneous Tree Structure Distillation for Syntactic NLP
Hao Fei, Yafeng Ren, Donghong Ji
EMNLP (Findings) 2020
[paper]
• Improving Text Understanding via Deep Syntax-Semantics Communication
Hao Fei, Yafeng Ren, Donghong Ji
EMNLP (Findings) 2020
[paper]
• Nominal Compound Chain Extraction: A New Task for Semantic-Enriched Lexical Chain
Bobo Li, Hao Fei, Yafeng Ren, Donghong Ji
NLPCC 2020
[paper] [code]
• Aggressive Language Detection with Joint Text Normalization via Adversarial Multi-task Learning
Shengqiong Wu, Hao Fei, Donghong Ji
NLPCC 2020
[paper] [code]
• Implicit Objective Network for Emotion Detection
Hao Fei, Yafeng Ren, Donghong Ji
NLPCC 2019
[paper]
• Towards Complex-query Referring Image Segmentation: A Novel Benchmark
Wei Ji, Li Li, Hao Fei*, Xiangyan Liu, Xun Yang, Juncheng Li, Roger Zimmermann
ACM Transactions on Multimedia Computing, Communications and Applications (TOMM) 2024
[paper] [code]
• Revisiting Conversation Discourse for Dialogue Disentanglement
Bobo Li, Hao Fei*, Fei Li, Shengqiong Wu, Lizi Liao, Yinwei Wei, Tat-Seng Chua, Donghong Ji
ACM Transactions on Information Systems (TOIS) 2024
[paper]
• Multimodal Emotion-Cause Pair Extraction with Holistic Interaction and Label Constraint
Bobo Li, Hao Fei, Fei Li, Tat-Seng Chua, Donghong Ji
ACM Transactions on Multimedia Computing, Communications and Applications (TOMM) 2024
[paper]
• S3 Agent: Unlocking the Power of VLLM for Zero-Shot Multi-modal Sarcasm Detection
Peng Wang, Yongheng Zhang, Hao Fei, Qiguang Chen, Yukai Wang, Jiasheng Si, Wenpeng Lu, Min Li, Libo Qin
ACM Transactions on Multimedia Computing, Communications and Applications (TOMM) 2024
[paper]
• Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment
Hao Fei, Shengqiong Wu, Meishan Zhang, Min Zhang, Tat-Seng Chua, Shuicheng Yan
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2024
[paper]
• TKDP: Threefold Knowledge-enriched Deep Prompt Tuning for Few-shot Named Entity Recognition
Jiang Liu, Hao Fei, Fei Li, Jingye Li, Bobo Li, Liang Zhao, Chong Teng, Donghong Ji
IEEE Transactions on Knowledge and Data Engineering (TKDE) 2024
[paper]
• Knowledge-enhanced event relation extraction via event ontology prompt
Ling Zhuang#, Hao Fei#, Po Hu
Information Fusion 2023
[paper]
• Syntax-based Dynamic Latent Graph for Event Relation Extraction
Ling Zhuang, Hao Fei, Po Hu
Information Processing & Management (IPM) 2023
[paper]
• On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training
Hao Fei, Tat-Seng Chua, Chenliang Li, Donghong Ji, Meishan Zhang, Yafeng Ren
ACM Transactions on Information Systems (TOIS) 2023
[paper]
• Nonautoregressive encoder-decoder neural framework for end-to-end aspect-based sentiment triplet extraction
Hao Fei, Yafeng Ren, Yue Zhang, Donghong Ji
IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2023
[paper]
• Optimizing Attention for Sequence Modeling via Reinforcement Learning
Hao Fei, Yue Zhang, Yafeng Ren, Donghong Ji
IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2022
[paper] [code]
• A semantic and syntactic enhanced neural model for financial sentiment analysis
Chunli Xiang, Junchi Zhang, Fei Li, Hao Fei, Donghong Ji
Information Processing & Management (IPM) 2022
[paper]
• Enriching contextualized language model from knowledge graph for biomedical information extraction
Hao Fei, Yafeng Ren, Yue Zhang, Donghong Ji, Xiaohui Liang
Briefings in Bioinformatics (BiB) 2021
[paper] [code]
• A span-graph neural model for overlapping entity relation extraction in biomedical texts
Hao Fei, Yafeng Ren, Yue Zhang, Donghong Ji, Xiaohui Liang
Bioinformatics 2021
[paper]
• Second-Order Semantic Role Labeling With Global Structural Refinement
Hao Fei, Shengqiong Wu, Yafeng Ren, Donghong Ji
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) 2021
[paper]
• High-Order Pair-Wise Aspect and Opinion Terms Extraction With Edge-Enhanced Syntactic Graph Convolution
Shengqiong Wu, Hao Fei, Yafeng Ren, Bobo Li, Fei Li, Donghong Ji
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) 2021
[paper] [code]
• Topic-Enhanced Capsule Network for Multi-Label Emotion Classification
Hao Fei, Donghong Ji, Yue Zhang, Yafeng Ren
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) 2020
[paper]
• Cross-Lingual Semantic Role Labeling With Model Transfer
Hao Fei, Meishan Zhang, Fei Li, Donghong Ji
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) 2020
[paper]
• Boundaries and edges rethinking: An end-to-end neural model for overlapping entity relation extraction
Hao Fei, Yafeng Ren, Donghong Ji
Information Processing & Management (IPM) 2020
[paper]
• A tree-based neural network model for biomedical event trigger detection
Hao Fei, Yafeng Ren, Donghong Ji
Information Sciences 2020
[paper]
• Dispatched attention with multi-task learning for nested mention recognition
Hao Fei, Yafeng Ren, Donghong Ji
Information Sciences 2020
[paper]
• A deep neural network model for speakers coreference resolution in legal texts
Donghong Ji, Jun Gao, Hao Fei, Chong Teng, Yafeng Ren
Information Processing & Management (IPM) 2020
[paper]
• An end-to-end joint model for evidence information extraction from court record document
Donghong Ji, Peng Tao, Hao Fei, Yafeng Ren
Information Processing & Management (IPM) 2020
[paper]
• A hybrid neural network model for predicting kidney disease in hypertension patients based on electronic health records
Yafeng Ren#, Hao Fei#, Xiaohui Liang, Donghong Ji, Ming Cheng
BMC Medical Informatics & Decision Making (MIDM) 2019
[paper]
• EmpathyEar: An Open-source Avatar Multimodal Empathetic Chatbot
Hao Fei, Han Zhang, Bin Wang, Lizi Liao, Qian Liu, Erik Cambria
ACL (Demo) 2024
[paper]
• XNLP: An Interactive Demonstration System for Universal Structured NLP
Hao Fei, Meishan Zhang, Min Zhang, Tat-Seng Chua
ACL (Demo) 2024
[paper]
• From Multimodal LLM to Human-level AI: Modality, Instruction, Reasoning, Efficiency and Beyond
Hao Fei, Yuan Yao, Zhuosheng Zhang, Fuxiao Liu, Ao Zhang, Tat-Seng Chua
COLING (Tutorial) 2024
[paper]
• NUS-Emo at SemEval-2024 Task 3: Instruction-Tuning LLM for Multimodal Emotion-Cause Analysis in Conversations
Meng Luo, Han Zhang, Shengqiong Wu, Bobo Li, Hong Han, Hao Fei*
SemEval @ ACL (Challenge, 2nd Place) 2024
[paper]
• Deep Multimodal Learning for Generation and Retrieval
Wei Ji, Hao Fei, Yinwei Wei, Zhedong Zheng, Juncheng Li, Zhiqi Ge, Long Chen, Lizi Liao, Yueting Zhuang, Roger Zimmermann
ACM MM (Workshop) 2024
[paper]
• Deep Multimodal Learning for Information Retrieval
Wei Ji, Yinwei Wei, Zhedong Zheng, Hao Fei, Tat-seng Chua
ACM MM (Workshop) 2023
[paper]
• On the Syntax-oriented Modeling and Optimization of Natural Language
Hao Fei
Ph.D Thesis 2021
[paper]