DocRicher: An Automatic Annotation System for Text Documents Using Social Media. - Qiang Hu; Qi Liu 049; Xiaoli Wang 002; Anthony K. H. Tung; Shubham Goyal; Jisong Yang (SIGMOD Conference, 2015)

QALink: Enriching Text Documents with Relevant Q&A Site Contents. - Yixuan Tang; Weilong Huang; Qi Liu 049; Anthony K. H. Tung; Xiaoli Wang 002; Jisong Yang; Beibei Zhang (CIKM, 2017)

EtherQL: A Query Layer for Blockchain System. - Yang Li; Kai Zheng 001; Ying Yan 006; Qi Liu 049; Xiaofang Zhou 001 (DASFAA (2), 2017)

I Ate This: A Photo-based Food Journaling System with Expert Feedback. - Shubham Goyal; Qi Liu 049; Khairina Tajul-Arifin; Waqas Awan; Bimlesh Wadhwa; Zhenguang Liu (CoRR, 2017)

Behavior pattern clustering in blockchain networks. - Butian Huang; Zhenguang Liu; Jianhai Chen; Anan Liu; Qi Liu 049; Qinming He (Multim. Tools Appl., 2017)

Fusion of Magnetic and Visual Sensors for Indoor Localization: Infrastructure-Free and More Effective. - Zhenguang Liu; Luming Zhang; Qi Liu 049; Yifang Yin; Li Cheng 001; Roger Zimmermann (IEEE Trans. Multim., 2017)

Multi-Modal Multi-Task Learning for Automatic Dietary Assessment. - Qi Liu 049; Yue Zhang 004; Zhenguang Liu; Ye Yuan 001; Li Cheng 001; Roger Zimmermann (AAAI, 2018)

Sentence-State LSTM for Text Representation. - Yue Zhang 004; Qi Liu 049; Linfeng Song (ACL (1), 2018)

Mining Evidences for Concept Stock Recommendation. - Qi Liu 049; Yue Zhang 004 (NAACL-HLT, 2018)

Learning Domain Representation for Multi-Domain Sentiment Classification. - Qi Liu 049; Yue Zhang 004; Jiangming Liu (NAACL-HLT, 2018)

Constrained Graph Variational Autoencoders for Molecule Design. - Qi Liu 049; Miltiadis Allamanis; Marc Brockschmidt; Alexander L. Gaunt (NeurIPS, 2018)

Toward Personalized Activity Level Prediction in Community Question Answering Websites. - Zhenguang Liu; Yingjie Xia; Qi Liu 049; Qinming He; Chao Zhang 014; Roger Zimmermann (ACM Trans. Multim. Comput. Commun. Appl., 2018)

Towards Natural and Accurate Future Motion Prediction of Humans and Animals. - Zhenguang Liu; Shuang Wu 002; Shuyuan Jin; Qi Liu 049; Shijian Lu; Roger Zimmermann; Li Cheng 001 (CVPR, 2019)

Quaternion Knowledge Graph Embeddings. - Shuai Zhang 007; Yi Tay; Lina Yao 001; Qi Liu 049 (NeurIPS, 2019)

Hyperbolic Graph Neural Networks. - Qi Liu 049; Maximilian Nickel; Douwe Kiela (NeurIPS, 2019)

Quaternion Knowledge Graph Embedding. - Shuai Zhang 007; Yi Tay; Lina Yao 001; Qi Liu 049 (CoRR, 2019)

Insertion-based Decoding with Automatically Inferred Generation Order. - Jiatao Gu; Qi Liu 049; Kyunghyun Cho (Trans. Assoc. Comput. Linguistics, 2019)

Multi-Task Self-Supervised Learning for Disfluency Detection. - Shaolei Wang; Wanxiang Che; Qi Liu 049; Pengda Qin; Ting Liu 001; William Yang Wang (AAAI, 2020)

Smart Contract Vulnerability Detection using Graph Neural Network. - Yuan Zhuang; Zhenguang Liu; Peng Qian; Qi Liu 049; Xiang Wang; Qinming He (IJCAI, 2020)

A Survey on Contextual Embeddings. - Qi Liu 049; Matt J. Kusner; Phil Blunsom (CoRR, 2020)

Pre-Training by Completing Point Clouds. - Hanchen Wang 002; Qi Liu 049; Xiangyu Yue 001; Joan Lasenby; Matthew J. Kusner (CoRR, 2020)

Unsupervised Point Cloud Pre-training via Occlusion Completion. - Hanchen Wang 002; Qi Liu 049; Xiangyu Yue 001; Joan Lasenby; Matt J. Kusner (ICCV, 2021)

Counterfactual Data Augmentation for Neural Machine Translation. - Qi Liu 049; Matt J. Kusner; Phil Blunsom (NAACL-HLT, 2021)

Fast and Scalable Dialogue State Tracking with Explicit Modular Decomposition. - Dingmin Wang; Chenghua Lin; Qi Liu 049; Kam-Fai Wong (NAACL-HLT, 2021)

Causal Effect Inference for Structured Treatments. - Jean Kaddour; Yuchen Zhu; Qi Liu 049; Matt J. Kusner; Ricardo Silva 001 (NeurIPS, 2021)

Graph Intervention Networks for Causal Effect Estimation. - Jean Kaddour; Qi Liu 049; Yuchen Zhu; Matt J. Kusner; Ricardo Silva 001 (CoRR, 2021)

Pretraining the Noisy Channel Model for Task-Oriented Dialogue. - Qi Liu 049; Lei Yu 008; Laura Rimell; Phil Blunsom (Trans. Assoc. Comput. Linguistics, 2021)

Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play. - Qi Liu 049; Zihuiwen Ye; Tao Yu; Linfeng Song; Phil Blunsom (EMNLP (Findings), 2022)

Augmenting Message Passing by Retrieving Similar Graphs. - Dingmin Wang; Shengchao Liu; Hanchen Wang 002; Linfeng Song; Jian Tang 005; Song Le; Bernardo Cuenca Grau; Qi Liu 049 (CoRR, 2022)

Evaluating Self-Supervised Learning for Molecular Graph Embeddings. - Hanchen Wang 002; Jean Kaddour; Shengchao Liu; Jian Tang 005; Matt J. Kusner; Joan Lasenby; Qi Liu 049 (CoRR, 2022)

Causal Machine Learning: A Survey and Open Problems. - Jean Kaddour; Aengus Lynch; Qi Liu 049; Matt J. Kusner; Ricardo Silva 001 (CoRR, 2022)

Relational Memory-Augmented Language Models. - Qi Liu 049; Dani Yogatama; Phil Blunsom (Trans. Assoc. Comput. Linguistics, 2022)

An Empirical Study of Retrieval-Enhanced Graph Neural Networks. - Dingmin Wang; Shengchao Liu; Hanchen Wang 002; Bernardo Cuenca Grau; Linfeng Song; Jian Tang 005; Le Song; Qi Liu 049 (ECAI, 2023)

Can Language Models Understand Physical Concepts? - Lei Li 039; Jingjing Xu 001; Qingxiu Dong; Ce Zheng; Xu Sun 001; Lingpeng Kong; Qi Liu 049 (EMNLP, 2023)

MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer. - Yazheng Yang; Zhou Zhao 001; Qi Liu 049 (KDD, 2023)

Evaluating Self-Supervised Learning for Molecular Graph Embeddings. - Hanchen Wang 002; Jean Kaddour; Shengchao Liu; Jian Tang 005; Joan Lasenby; Qi Liu 049 (NeurIPS, 2023)

GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning. - Haiteng Zhao; Shengchao Liu; Chang Ma; Hannan Xu; Jie Fu 001; Zhihong Deng 001; Lingpeng Kong; Qi Liu 049 (NeurIPS, 2023)

Retrieved Sequence Augmentation for Protein Representation Learning. - Chang Ma; Haiteng Zhao; Lin Zheng; Jiayi Xin; Qintong Li; Lijun Wu; Zhihong Deng 001; Yang Lu; Qi Liu 049; Lingpeng Kong (CoRR, 2023)

TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models. - Yuwei Yin; Jean Kaddour; Xiang Zhang; Yixin Nie; Zhenguang Liu; Lingpeng Kong; Qi Liu 049 (CoRR, 2023)

Large Language Models are not Fair Evaluators. - Peiyi Wang; Lei Li 039; Liang Chen 024; Dawei Zhu; Binghuai Lin; Yunbo Cao; Qi Liu 049; Tianyu Liu 001; Zhifang Sui (CoRR, 2023)

M3IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning. - Lei Li 039; Yuwei Yin; Shicheng Li; Liang Chen 024; Peiyi Wang; Shuhuai Ren; Mukai Li; Yazheng Yang; Jingjing Xu 001; Xu Sun 001; Lingpeng Kong; Qi Liu 049 (CoRR, 2023)

UniTabE: Pretraining a Unified Tabular Encoder for Heterogeneous Tabular Data. - Yazheng Yang; Yuqi Wang 003; Guang Liu 006; Ledell Wu; Qi Liu 049 (CoRR, 2023)

FinPT: Financial Risk Prediction with Profile Tuning on Pretrained Foundation Models. - Yuwei Yin; Yazheng Yang; Jian Yang; Qi Liu 049 (CoRR, 2023)

Text Data Augmentation in Low-Resource Settings via Fine-Tuning of Large Language Models. - Jean Kaddour; Qi Liu 049 (CoRR, 2023)

Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction. - Zhenguang Liu; Shuang Wu 002; Shuyuan Jin; Shouling Ji; Qi Liu 049; Shijian Lu; Li Cheng 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Search-engine-augmented dialogue response generation with cheaply supervised query production. - Ante Wang; Linfeng Song; Qi Liu 049; Haitao Mi; Longyue Wang; Zhaopeng Tu; Jinsong Su; Dong Yu 001 (Artif. Intell., 2023)

Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models. - Lei Li 039; Yuqi Wang 003; Runxin Xu; Peiyi Wang; Xiachong Feng; Lingpeng Kong; Qi Liu 049 (ACL (1), 2024)

Red Teaming Visual Language Models. - Mukai Li; Lei Li 039; Yuwei Yin; Masood Ahmed; Zhenguang Liu; Qi Liu 049 (ACL (Findings), 2024)

Large Language Models are not Fair Evaluators. - Peiyi Wang; Lei Li 039; Liang Chen 024; Zefan Cai; Dawei Zhu; Binghuai Lin; Yunbo Cao; Lingpeng Kong; Qi Liu 049; Tianyu Liu 001; Zhifang Sui (ACL (1), 2024)

VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment. - Lei Li 039; Zhihui Xie 002; Mukai Li; Shunian Chen; Peiyi Wang; Liang Chen 024; Yazheng Yang; Benyou Wang; Lingpeng Kong; Qi Liu 049 (EMNLP, 2024)

Retrieved Sequence Augmentation for Protein Representation Learning. - Chang Ma; Haiteng Zhao; Lin Zheng; Jiayi Xin; Qintong Li; Lijun Wu; Zhihong Deng 001; Yang Lu; Qi Liu 049; Sheng Wang; Lingpeng Kong (EMNLP, 2024)

UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science. - Yazheng Yang; Yuqi Wang 003; Guang Liu 006; Ledell Wu; Qi Liu 049 (ICLR, 2024)

Unleashing the Potential of Large Language Models for Predictive Tabular Tasks in Data Science. - Yazheng Yang; Yuqi Wang 003; Sankalok Sen; Lei Li 039; Qi Liu 049 (CoRR, 2024)

Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models. - Aitor Ormazabal; Che Zheng; Cyprien de Masson d'Autume; Dani Yogatama; Deyu Fu; Donovan Ong; Eric Chen; Eugenie Lamprecht; Hai Pham; Isaac Ong; Kaloyan Aleksiev; Lei Li 039; et al. (CoRR, 2024)

Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language models. - Piotr Padlewski; Max Bain; Matthew Henderson; Zhongkai Zhu; Nishant Relan; Hai Pham; Donovan Ong; Kaloyan Aleksiev; Aitor Ormazabal; Samuel Phua; Ethan Yeo; Eugenie Lamprecht; et al. (CoRR, 2024)

VLRewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models. - Lei Li 039; Yuancheng Wei; Zhihui Xie 002; Xuqing Yang; Yifan Song 002; Peiyi Wang; Chenxin An; Tianyu Liu 001; Sujian Li; Bill Yuchen Lin; Lingpeng Kong; Qi Liu 049 (CoRR, 2024)

Design Choices for Extending the Context Length of Visual Language Models. - Mukai Li; Lei Li 039; Shansan Gong; Qi Liu 049 (ACL (1), 2025)

VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models. - Lei Li 039; Yuancheng Wei; Zhihui Xie 002; Xuqing Yang; Yifan Song 002; Peiyi Wang; Chenxin An; Tianyu Liu 001; Sujian Li; Bill Yuchen Lin; Lingpeng Kong; Qi Liu 049 (CVPR, 2025)

Jailbreaking as a Reward Misspecification Problem. - Zhihui Xie 002; Jiahui Gao; Lei Li 039; Zhenguo Li; Qi Liu 049; Lingpeng Kong (ICLR, 2025)

Temporal Reasoning Transfer from Text to Video. - Lei Li 039; Yuanxin Liu; Linli Yao; Peiyuan Zhang; Chenxin An; Lean Wang; Xu Sun 001; Lingpeng Kong; Qi Liu 049 (ICLR, 2025)

ImgTrojan: Jailbreaking Vision-Language Models with ONE Image. - Xijia Tao; Shuai Zhong; Lei Li 039; Qi Liu 049; Lingpeng Kong (NAACL (Long Papers), 2025)

TEMPLE:Temporal Preference Learning of Video LLMs via Difficulty Scheduling and Pre-SFT Alignment. - Shicheng Li; Lei Li 039; Kun Ouyang; Shuhuai Ren; Yuanxin Liu; Yuanxing Zhang; Fuzheng Zhang; Lingpeng Kong; Qi Liu 049; Xu Sun 001 (CoRR, 2025)

TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos. - Linli Yao; Yicheng Li; Yuancheng Wei; Lei Li 039; Shuhuai Ren; Yuanxin Liu; Kun Ouyang; Lean Wang; Shicheng Li; Sida Li; Lingpeng Kong; Qi Liu 049; et al. (CoRR, 2025)

Exploring Stability-Plasticity Trade-offs for Continual Named Entity Recognition. - Duzhen Zhang; Chenxing Li; Jiahua Dong 001; Qi Liu 049; Dong Yu 001 (CoRR, 2025)

A Survey of Reasoning with Foundation Models: Concepts, Methodologies, and Outlook. - Jiankai Sun; Chuanyang Zheng; Enze Xie; Zhengying Liu; Ruihang Chu; Jianing Qiu; Jiaqi Xu; Mingyu Ding; Hongyang Li 001; Mengzhe Geng; Yue Wu 012; Wenhai Wang; et al. (ACM Comput. Surv., 2025)