Qifan Wang

According to our database, Qifan Wang authored at least 150 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Think Twice Before Assure: Confidence Estimation for Large Language Models through Reflection on Multiple Answers.

Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua

CoRR, 2024

Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning.

Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng

CoRR, 2024

PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations.

Shiyi Qi, Zenglin Xu, Yiduo Li, Liangjian Wen, Qingsong Wen, Qifan Wang, Yuan Qi

CoRR, 2024

Multimodal Instruction Tuning with Conditional Mixture of LoRA.

Ying Shen, Zhiyang Xu, Qifan Wang, Yu Cheng, Wenpeng Yin, Lifu Huang

CoRR, 2024

Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning.

Zhiyang Xu, Chao Feng, Rulin Shao, Trevor Ashby, Ying Shen, Di Jin, Yu Cheng, Qifan Wang, Lifu Huang

CoRR, 2024

Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models.

Zihao Lin, Mohammad Beigi, Hongxuan Li, Yufan Zhou, Yuxiang Zhang, Qifan Wang, Wenpeng Yin, Lifu Huang

CoRR, 2024

Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning?

Cheng Han, Qifan Wang, Yiming Cui, Wenguan Wang, Lifu Huang, Siyuan Qi, Dongfang Liu

CoRR, 2024

Image Translation as Diffusion Visual Programmers.

Cheng Han, James Chenhao Liang, Qifan Wang, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Ying Nian Wu, Dongfang Liu

CoRR, 2024

Minimal Distillation Schedule for Extreme Language Model Compression.

Chen Zhang, Yang Yang, Qifan Wang, Jiahao Liu, Jingang Wang, Wei Wu, Dawei Song

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Ameli: Enhancing Multimodal Entity Linking with Fine-Grained Attributes.

Barry Menglong Yao, Sijia Wang, Yu Chen, Qifan Wang, Minqian Liu, Zhiyang Xu, Licheng Yu, Lifu Huang

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning.

Ying Mo, Jian Yang, Jiahao Liu, Qifan Wang, Ruoyu Chen, Jingang Wang, Zhoujun Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation.

Chenxu Wang, Fuli Feng, Yang Zhang, Qifan Wang, Xunhan Hu, Xiangnan He

IEEE Trans. Big Data, December, 2023

<i>HT2ML</i>: An efficient hybrid framework for privacy-preserving Machine Learning using HE and TEE.

Qifan Wang, Lei Zhou, Jianli Bai, Yun Sing Koh, Shujie Cui, Giovanni Russello

Comput. Secur., December, 2023

Boosting adversarial robustness via self-paced adversarial training.

Lirong He, Qingzhong Ai, Xincheng Yang, Yazhou Ren, Qifan Wang, Zenglin Xu

Neural Networks, October, 2023

CatGCN: Graph Convolutional Networks With Categorical Node Features.

Weijian Chen, Fuli Feng, Qifan Wang, Xiangnan He, Chonggang Song, Guohui Ling, Yongdong Zhang

IEEE Trans. Knowl. Data Eng., April, 2023

Interactive active learning for fairness with partial group label.

Zeyu Yang, Jizhi Zhang, Fuli Feng, Chongming Gao, Qifan Wang, Xiangnan He

AI Open, January, 2023

DualGNN: Dual Graph Neural Network for Multimedia Recommendation.

Qifan Wang, Yinwei Wei, Jianhua Yin, Jianlong Wu, Xuemeng Song, Liqiang Nie

IEEE Trans. Multim., 2023

Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework With Spatio-Temporal Collaboration.

Liqi Yan, Qifan Wang, Siqi Ma, Jingang Wang, Changbin Yu

IEEE Trans. Circuits Syst. Video Technol., 2023

Liver CT Image Recognition Method Based on Capsule Network.

Qifan Wang, Aibin Chen, Yongfei Xue

Inf., 2023

Identification of grape leaf diseases based on VN-BWT and Siamese DWOAM-DRNet.

Chuang Cai, Qifan Wang, Weiwei Cai, Yixin Yang, Yahui Hu, Liujun Li, Yanfeng Wang, Guoxiong Zhou

Eng. Appl. Artif. Intell., 2023

Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model.

Shraman Pramanick, Guangxing Han, Rui Hou, Sayan Nag, Ser-Nam Lim, Nicolas Ballas, Qifan Wang, Rama Chellappa, Amjad Almahairi

CoRR, 2023

MART: Improving LLM Safety with Multi-round Automatic Red-Teaming.

Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao

CoRR, 2023

CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation.

Yang Zhang, Fuli Feng, Jizhi Zhang, Keqin Bao, Qifan Wang, Xiangnan He

CoRR, 2023

Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression.

Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Ran Lucien Wang, Rui Yan

CoRR, 2023

Attack Prompt Generation for Red Teaming and Defending Large Language Models.

Boyi Deng, Wenjie Wang, Fuli Feng, Yang Deng, Qifan Wang, Xiangnan He

CoRR, 2023

Federated Generalization via Information-Theoretic Distribution Diversification.

Zheshun Wu, Zenglin Xu, Dun Zeng, Qifan Wang

CoRR, 2023

Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models.

Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz

CoRR, 2023

Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization.

Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang

CoRR, 2023

Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling.

Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang

CoRR, 2023

On the Equivalence of Graph Convolution and Mixup.

Xiaotian Han, Hanqing Zeng, Yu Chen, Shaoliang Nie, Jingzhou Liu, Kanika Narang, Zahra Shakeri, Karthik Abinav Sankararaman, Song Jiang, Madian Khabsa, Qifan Wang, Xia Hu

CoRR, 2023

ClusterFormer: Clustering As A Universal Visual Learner.

James Chenhao Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu

CoRR, 2023

LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models.

Chi Han, Qifan Wang, Wenhan Xiong, Yu Chen, Heng Ji, Sinong Wang

CoRR, 2023

E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning.

Cheng Han, Qifan Wang, Yiming Cui, Zhiwen Cao, Wenguan Wang, Siyuan Qi, Dongfang Liu

CoRR, 2023

Recommendation Unlearning via Influence Function.

Yang Zhang, Zhiyu Hu, Yimeng Bai, Fuli Feng, Jiancan Wu, Qifan Wang, Xiangnan He

CoRR, 2023

FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.

Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu

CoRR, 2023

The Art of SOCRATIC QUESTIONING: Zero-shot Multimodal Reasoning with Recursive Thinking and Self-Questioning.

Jingyuan Qi, Zhiyang Xu, Ying Shen, Minqian Liu, Di Jin, Qifan Wang, Lifu Huang

CoRR, 2023

GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference.

Qifan Wang, Shujie Cui, Lei Zhou, Ye Dong, Jianli Bai, Yun Sing Koh, Giovanni Russello

CoRR, 2023

MMViT: Multiscale Multiview Vision Transformers.

Yuchen Liu, Natasha Ong, Kaiyan Peng, Bo Xiong, Qifan Wang, Rui Hou, Madian Khabsa, Kaiyue Yang, David Liu, Donald S. Williamson, Hanchao Yu

CoRR, 2023

SVT: Supertoken Video Transformer for Efficient Video Understanding.

Chenbin Pan, Rui Hou, Hanchao Yu, Qifan Wang, Senem Velipasalar, Madian Khabsa

CoRR, 2023

Multi-task Transformer with Relation-attention and Type-attention for Named Entity Recognition.

Ying Mo, Hongyin Tang, Jiahao Liu, Qifan Wang, Zenglin Xu, Jingang Wang, Wei Wu, Zhoujun Li

CoRR, 2023

Stochastic Clustered Federated Learning.

Dun Zeng, Xiangjing Hu, Shiyu Liu, Yue Yu, Qifan Wang, Zenglin Xu

CoRR, 2023

Representation Deficiency in Masked Language Modeling.

Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer

CoRR, 2023

Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity.

Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu

CoRR, 2023

A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings.

Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun

Proceedings of the ACM Web Conference 2023, 2023

A Causal View for Item-level Effect of Recommendation on User Preference.

Wei Cai, Fuli Feng, Qifan Wang, Tian Yang, Zhenguang Liu, Congfu Xu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation.

Yulong Huang, Yang Zhang, Qifan Wang, Chenxu Wang, Fuli Feng

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?

Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu, Qifan Wang, Hongning Wang, Haifeng Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unified 3D Segmenter As Prototypical Classifiers.

Zheyun Qin, Cheng Han, Qifan Wang, Xiushan Nie, Yilong Yin, Xiankai Lu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ClusterFomer: Clustering As A Universal Visual Learner.

James Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning.

Liqi Yan, Cheng Han, Zenglin Xu, Dongfang Liu, Qifan Wang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

CryptoMask: Privacy-Preserving Face Recognition.

Jianli Bai, Xiaowu Zhang, Xiangfu Song, Hang Shao, Qifan Wang, Shujie Cui, Giovanni Russello

Proceedings of the Information and Communications Security - 25th International Conference, 2023

E²VPT: An Effective and Efficient Approach for Visual Prompt Tuning.

Cheng Han, Qifan Wang, Yiming Cui, Zhiwen Cao, Wenguan Wang, Siyuan Qi, Dongfang Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multi-Task Transformer with Relation-Attention and Type-Attention for Named Entity Recognition.

Ying Mo, Hongyin Tang, Jiahao Liu, Qifan Wang, Zenglin Xu, Jingang Wang, Wei Wu, Zhoujun Li

Proceedings of the IEEE International Conference on Acoustics, 2023

PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection.

Tao Yang, Tianyuan Shi, Fanqi Wan, Xiaojun Quan, Qifan Wang, Bingzhe Wu, Jiaxiang Wu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling.

Yuanhang Yang, Shiyi Qi, Chuanyi Liu, Qifan Wang, Cuiyun Gao, Zenglin Xu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation.

Nan Wang, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang, Shaoliang Nie

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models.

Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality.

Harman Singh, Pengchuan Zhang, Qifan Wang, Mengjiao Wang, Wenhan Xiong, Jingfei Du, Yu Chen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems.

Tianyuan Shi, Liangzhi Li, Zijian Lin, Tao Yang, Xiaojun Quan, Qifan Wang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models.

Jingyuan Qi, Zhiyang Xu, Ying Shen, Minqian Liu, Di Jin, Qifan Wang, Lifu Huang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression.

Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Ran Wang, Rui Yan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training.

Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Improving Input-label Mapping with Demonstration Replay for In-context Learning.

Zhuocheng Gong, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Attack Prompt Generation for Red Teaming and Defending Large Language Models.

Boyi Deng, Wenjie Wang, Fuli Feng, Yang Deng, Qifan Wang, Xiangnan He

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning.

Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

TransFlow: Transformer as Flow Learner.

Yawen Lu, Qifan Wang, Siqi Ma, Tong Geng, Yingjie Victor Chen, Huaijin G. Chen, Dongfang Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Mostree: Malicious Secure Private Decision Tree Evaluation with Sublinear Communication.

Jianli Bai, Xiangfu Song, Xiaowu Zhang, Qifan Wang, Shujie Cui, Ee-Chien Chang, Giovanni Russello

Proceedings of the Annual Computer Security Applications Conference, 2023

FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models.

Zhuo Zhang, Yuanhang Yang, Yong Dai, Qifan Wang, Yue Yu, Lizhen Qu, Zenglin Xu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction.

Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression.

Siyue Wu, Hongzhan Chen, Xiaojun Quan, Qifan Wang, Rui Wang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

MUSTIE: Multimodal Structural Transformer for Web Information Extraction.

Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Fusion or Defusion? Flexible Vision-and-Language Pre-Training.

Rongyi Sun, Ziran Li, Yifeng Ding, Qifan Wang, Jingang Wang, Haitao Zheng, Wei Wu, Yunsen Xian

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Meta-training with Demonstration Retrieval for Efficient Few-shot Learning.

Aaron Mueller, Kanika Narang, Lambert Mathias, Qifan Wang, Hamed Firooz

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank.

Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Kai Chen, Rui Yan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Disentangled Phonetic Representation for Chinese Spelling Correction.

Zihong Liang, Xiaojun Quan, Qifan Wang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context.

Moxin Li, Wenjie Wang, Fuli Feng, Hanwang Zhang, Qifan Wang, Tat-Seng Chua

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales.

Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, Xiang Ren

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models.

Zhuocheng Gong, Jiahao Liu, Qifan Wang, Yang Yang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Rui Yan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection.

Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Video Captioning Using Global-Local Representation.

Liqi Yan, Siqi Ma, Qifan Wang, Yingjie Victor Chen, Xiangyu Zhang, Andreas E. Savakis, Dongfang Liu

IEEE Trans. Circuits Syst. Video Technol., 2022

Graph convolution machine for context-aware recommender system.

Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, Xing Xie

Frontiers Comput. Sci., 2022

Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler.

Yifang Chen, Karthik Abinav Sankararaman, Alessandro Lazaric, Matteo Pirotta, Dmytro Karamshuk, Qifan Wang, Karishma Mandyam, Sinong Wang, Han Fang

CoRR, 2022

Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling.

Yuanhang Yang, Shiyi Qi, Cuiyun Gao, Zenglin Xu, Yulan He, Qifan Wang, Chuanyi Liu

CoRR, 2022

CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations.

Borun Chen, Hongyin Tang, Jingang Wang, Qifan Wang, Hai-Tao Zheng, Wei Wu, Liqian Yu

CoRR, 2022

Fall Detection from Audios with Audio Transformers.

Prabhjot Kaur, Qifan Wang, Weisong Shi

CoRR, 2022

AutoDisc: Automatic Distillation Schedule for Large Language Model Compression.

Chen Zhang, Yang Yang, Qifan Wang, Jiahao Liu, Jingang Wang, Wei Wu, Dawei Song

CoRR, 2022

A deep learning approach incorporating YOLO v5 and attention mechanisms for field real-time detection of the invasive weed <i>Solanum rostratum</i> Dunal seedlings.

Qifan Wang, Man Cheng, Shuo Huang, Zhenjiang Cai, Jinlin Zhang, Hongbo Yuan

Comput. Electron. Agric., 2022

Multi-channel feature fusion networks with hard coordinate attention mechanism for maize disease identification under complex backgrounds.

Shundong Fang, Yanfeng Wang, Guoxiong Zhou, Aibin Chen, Weiwei Cai, Qifan Wang, Yahui Hu, Liujun Li

Comput. Electron. Agric., 2022

Application of deep learning in sheep behaviors recognition and influence analysis of training data characteristics on the recognition effect.

Man Cheng, Hongbo Yuan, Qifan Wang, Zhenjiang Cai, Yueqin Liu, Yingjie Zhang

Comput. Electron. Agric., 2022

Deep Partial Multiplex Network Embedding.

Qifan Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

WebFormer: The Web-page Transformer for Structure Information Extraction.

Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

MAVE: A Product Dataset for Multi-source Attribute Value Extraction.

Li Yang, Qifan Wang, Zac Yu, Anand Kulkarni, Sumit Sanghai, Bin Shu, Jon Elsas, Bhargav Kanagal

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning.

Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang, Shaoliang Nie

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GL-RG: Global-Local Representation Granularity for Video Captioning.

Liqi Yan, Qifan Wang, Yiming Cui, Fuli Feng, Xiaojun Quan, Xiangyu Zhang, Dongfang Liu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Federated Model Decomposition with Private Vocabulary for Text Classification.

Zhuo Zhang, Xiangjing Hu, Lizhen Qu, Qifan Wang, Zenglin Xu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction.

Qifan Wang, Li Yang, Jingang Wang, Jitin Krishnan, Bo Dai, Sinong Wang, Zenglin Xu, Madian Khabsa, Hao Ma

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation.

Qifan Wang, Li Yang, Xiaojun Quan, Fuli Feng, Dongfang Liu, Zenglin Xu, Sinong Wang, Hao Ma

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

XPrompt: Exploring the Extreme of Prompt Tuning.

Fang Ma, Chen Zhang, Lei Ren, Jingang Wang, Qifan Wang, Wei Wu, Xiaojun Quan, Dawei Song

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

VIRT: Improving Representation-based Text Matching via Virtual Interaction.

Dan Li, Yang Yang, Hongyin Tang, Jiahao Liu, Qifan Wang, Jingang Wang, Tong Xu, Wei Wu, Enhong Chen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian.

Zhiwen Cao, Dongfang Liu, Qifan Wang, Yingjie Victor Chen

Proceedings of the Computer Vision - ECCV 2022, 2022

Autoregressive Entity Generation for End-to-End Task-Oriented Dialog.

Guanhuan Huang, Xiaojun Quan, Qifan Wang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations.

Borun Chen, Hongyin Tang, Jiahao Bu, Kai Zhang, Jingang Wang, Qifan Wang, Hai-Tao Zheng, Wei Wu, Liqian Yu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

EnclaveTree: Privacy-preserving Data Stream Training and Inference Using TEE.

Qifan Wang, Shujie Cui, Lei Zhou, Ocean Wu, Yonghua Zhu, Giovanni Russello

Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022

2021

An image segmentation method based on deep learning for damage assessment of the invasive weed <i>Solanum rostratum</i> Dunal.

Qifan Wang, Man Cheng, Xuepeng Xiao, Hongbo Yuan, Jiajun Zhu, Caihu Fan, Jinlin Zhang

Comput. Electron. Agric., 2021

Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method.

Fuli Feng, Weiran Huang, Xiangnan He, Xin Xin, Qifan Wang, Tat-Seng Chua

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Detecting Movement Timing from Primate Intracortical Signals for Brain-machine Interfaces in Dynamic Environment.

Chenyang Li, Yiheng Zhang, Tianwei Wang, Xinxu Xu, Qifan Wang, Ruichen Zheng, He Cui

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021

AC Prediction Error Propagation-based Encryption for Texture Protection of JPEG Compressed Images.

Kosuke Shimizu, Qifan Wang, Taizo Suzuki

Proceedings of the Picture Coding Symposium, 2021

Reinforcement of Neuropixels probes for high-density neural recording in non-human primates.

Qifan Wang, Jiapeng Yin, He Cui

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

Serial Decoding of Macaque Intracortical Activity for Feedforward Control of Coherent Sequential Reach.

Chenyang Li, Tianwei Wang, Yiheng Zhang, Xinxu Xu, Qifan Wang, Ruichen Zheng, He Cui

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

2020

Graph Convolution Machine for Context-aware Recommender System.

Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, Xing Xie, Yongdong Zhang

CoRR, 2020

Big Bird: Transformers for Longer Sequences.

Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to Extract Attribute Value from Product via Question Answering: A Multi-task Approach.

Qifan Wang, Li Yang, Bhargav Kanagal, Sumit Sanghai, D. Sivakumar, Bin Shu, Zac Yu, Jon Elsas

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

ETC: Encoding Long and Structured Inputs in Transformers.

Joshua Ainslie, Santiago Ontañón, Chris Alberti, Vaclav Cvicek, Zachary Fisher, Philip Pham, Anirudh Ravula, Sumit Sanghai, Qifan Wang, Li Yang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

DUGRA: Dual-Graph Representation Learning for Health Information Networks.

Qifan Wang, Benjamin C. M. Fung, Patrick C. K. Hung

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

A Consortium Blockchain-Based Model for Data Sharing in Internet of Vehicles.

Qifan Wang, Lei Zhou, Zhe Tang, Guojun Wang

Proceedings of the Smart City and Informatization - 7th International Conference, 2019

Constructing a Comprehensive Events Database from the Web.

Qifan Wang, Bhargav Kanagal, Vijay Garg, D. Sivakumar

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Super-Resolution in Optical Coherence Tomography.

Qifan Wang, Rencheng Zheng, Alin Achim

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

An Implementation of Brain-Machine Interface by Decoding Predictive Intracortical Signals toward a Moving Object^*.

Chenyang Li, Yiheng Zhang, Tianwei Wang, Xinxiu Xu, Qifan Wang, He Cui

Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2018

2017

Ribosome Profiling Reveals Genome-wide Cellular Translational Regulation upon Heat Stress in <i>Escherichia coli</i>.

Yanqing Zhang, Zhengtao Xiao, Qin Zou, Jianhuo Fang, Qifan Wang, Xuerui Yang, Ning Gao

Genom. Proteom. Bioinform., 2017

Research on Internet of Vehicles' Privacy Protection Based on Tamper-Proof with Ciphertext.

Qifan Wang, Guihua Duan, Entao Luo, Guojun Wang

Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2017

Instance-Level Label Propagation with Multi-Instance Learning.

Qifan Wang, Gal Chechik, Chen Sun, Bin Shen

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

General, Nested, and Constrained Wiberg Minimization.

Dennis Strelow, Qifan Wang, Luo Si, Anders P. Eriksson

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Elastic net regularized dictionary learning for image classification.

Bin Shen, Bao-Di Liu, Qifan Wang

Multim. Tools Appl., 2016

Learning for Efficient Supervised Query Expansion via Two-stage Feature Selection.

Zhiwei Zhang, Qifan Wang, Luo Si, Jianfeng Gao

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

One-Class Maximum Margin Matrix Factorization.

Bin Shen, Cheng Lu, Qifan Wang, Si Chen, Yan Yan

Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2016, 2016

2015

Latent Discriminative Models for Social Emotion Detection with Emotional Dependency.

Xiaojun Quan, Qifan Wang, Ying Zhang, Luo Si, Wenyin Liu

ACM Trans. Inf. Syst., 2015

An Entity Class-Dependent Discriminative Mixture Model for Cumulative Citation Recommendation.

Jingang Wang, Dandan Song, Qifan Wang, Zhiwei Zhang, Luo Si, Lejian Liao, Chin-Yew Lin

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Determining Expert Research Areas with Multi-Instance Learning of Hierarchical Multi-Label Classification Model.

Tao Wu, Qifan Wang, Zhiwei Zhang, Luo Si

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Ranking Preserving Hashing for Fast Similarity Search.

Qifan Wang, Zhiwei Zhang, Luo Si

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Learning to Hash on Partial Multi-Modal Data.

Qifan Wang, Luo Si, Bin Shen

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Piecewise linear dimension reduction for nonnegative data.

Bin Shen, Qifan Wang, Jan P. Allebach

Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2015, 2015

LEAPS: Detecting Camouflaged Attacks with Statistical Learning Guided by Program Analysis.

Zhongshu Gu, Kexin Pei, Qifan Wang, Luo Si, Xiangyu Zhang, Dongyan Xu

Proceedings of the 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2015

Learning to Hash on Structured Data.

Qifan Wang, Luo Si, Bin Shen

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

SP-SVM: Large Margin Classifier for Data on Multiple Manifolds.

Bin Shen, Bao-Di Liu, Qifan Wang, Yi Fang, Jan P. Allebach

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Applicability of Jus in Bello in Cyber Space: Dilemmas and Challenges.

Qifan Wang

Int. J. Cyber Warf. Terror., 2014

Cross-domain and cross-category emotion tagging for comments of online news.

Ying Zhang, Ning Zhang, Luo Si, Yanshan Lu, Qifan Wang, Xiaojie Yuan

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Preference preserving hashing for efficient recommendation.

Zhiwei Zhang, Qifan Wang, Lingyun Ruan, Luo Si

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Active hashing with joint data example and tag selection.

Qifan Wang, Luo Si, Zhiwei Zhang, Ning Zhang

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Robust nonnegative matrix factorization via L1 norm regularization by multiplicative updating rules.

Bin Shen, Bao-Di Liu, Qifan Wang, Rongrong Ji

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Learning to Hash with Partial Tags: Exploring Correlation between Tags and Hashing Bits for Large Scale Image Retrieval.

Qifan Wang, Luo Si, Dan Zhang

Proceedings of the Computer Vision - ECCV 2014, 2014

Binary Codes Embedding for Fast Image Tagging with Incomplete Labels.

Qifan Wang, Bin Shen, Shumiao Wang, Liang Li, Luo Si

Proceedings of the Computer Vision - ECCV 2014, 2014

Sparse Semantic Hashing for Efficient Large Scale Similarity Search.

Qifan Wang, Bin Shen, Zhiwei Zhang, Luo Si

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Adaptive Knowledge Transfer for Multiple Instance Learning in Image Classification.

Qifan Wang, Lingyun Ruan, Luo Si

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Semantic hashing using tags and topic modeling.

Qifan Wang, Dan Zhang, Luo Si

Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Weighted hashing for fast large scale similarity search.

Qifan Wang, Dan Zhang, Luo Si

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Learning compact hashing codes for efficient tag completion and prediction.

Qifan Wang, Lingyun Ruan, Zhiwei Zhang, Luo Si

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

A Discriminative Data-Dependent Mixture-Model Approach for Multiple Instance Learning in Image Classification.

Qifan Wang, Luo Si, Dan Zhang

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Query Expansion and Message-Passing Algorithms for TREC Microblog Track.

Dzung Hong, Qifan Wang, Dan Zhang, Luo Si

Proceedings of The Twentieth Text REtrieval Conference, 2011

A robust one-class bayesian approach for masquerade detection.

Qifan Wang, Luo Si

Proceedings of the 4th ACM Workshop on Security and Artificial Intelligence, 2011

2010

A Globally Optimal Approach for 3D Elastic Motion Estimation from Stereo Sequences.

Qifan Wang, Linmi Tao, Huijun Di

Proceedings of the Computer Vision, 2010