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Qifan Wang
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Books and Theses
- 2015
- [b1]Qifan Wang:
Learning compact hashing codes with complex objectives from multiple sources for large scale similarity search. Purdue University, USA, 2015
Journal Articles
- 2024
- [j22]Wenzhe Ouyang, Zenglin Xu
, Jing Xu, Qifan Wang
, Yong Xu:
MixingMask: A contour-aware approach for joint object detection and instance segmentation. Pattern Recognit. 155: 110620 (2024) - 2023
- [j21]Zeyu Yang, Jizhi Zhang, Fuli Feng, Chongming Gao, Qifan Wang, Xiangnan He:
Interactive active learning for fairness with partial group label. AI Open 4: 175-182 (2023) - [j20]Qifan Wang
, Lei Zhou, Jianli Bai, Yun Sing Koh, Shujie Cui, Giovanni Russello:
HT2ML: An efficient hybrid framework for privacy-preserving Machine Learning using HE and TEE. Comput. Secur. 135: 103509 (2023) - [j19]Chuang Cai, Qifan Wang, Weiwei Cai
, Yixin Yang, Yahui Hu, Liujun Li
, Yanfeng Wang, Guoxiong Zhou
:
Identification of grape leaf diseases based on VN-BWT and Siamese DWOAM-DRNet. Eng. Appl. Artif. Intell. 123(Part B): 106341 (2023) - [j18]Qifan Wang, Aibin Chen, Yongfei Xue
:
Liver CT Image Recognition Method Based on Capsule Network. Inf. 14(3): 183 (2023) - [j17]Lirong He, Qingzhong Ai
, Xincheng Yang, Yazhou Ren
, Qifan Wang, Zenglin Xu
:
Boosting adversarial robustness via self-paced adversarial training. Neural Networks 167: 706-714 (2023) - [j16]Chenxu Wang
, Fuli Feng
, Yang Zhang
, Qifan Wang
, Xunhan Hu
, Xiangnan He
:
Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation. IEEE Trans. Big Data 9(6): 1607-1619 (2023) - [j15]Liqi Yan
, Qifan Wang
, Siqi Ma, Jingang Wang, Changbin Yu:
Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework With Spatio-Temporal Collaboration. IEEE Trans. Circuits Syst. Video Technol. 33(1): 393-406 (2023) - [j14]Weijian Chen
, Fuli Feng
, Qifan Wang, Xiangnan He
, Chonggang Song, Guohui Ling, Yongdong Zhang
:
CatGCN: Graph Convolutional Networks With Categorical Node Features. IEEE Trans. Knowl. Data Eng. 35(4): 3500-3511 (2023) - [j13]Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu:
Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity. Trans. Mach. Learn. Res. 2023 (2023) - [j12]Qifan Wang
, Yinwei Wei
, Jianhua Yin
, Jianlong Wu
, Xuemeng Song
, Liqiang Nie
:
DualGNN: Dual Graph Neural Network for Multimedia Recommendation. IEEE Trans. Multim. 25: 1074-1084 (2023) - 2022
- [j11]Man Cheng, Hongbo Yuan, Qifan Wang, Zhenjiang Cai, Yueqin Liu, Yingjie Zhang:
Application of deep learning in sheep behaviors recognition and influence analysis of training data characteristics on the recognition effect. Comput. Electron. Agric. 198: 107010 (2022) - [j10]Qifan Wang, Man Cheng, Shuo Huang, Zhenjiang Cai, Jinlin Zhang, Hongbo Yuan:
A deep learning approach incorporating YOLO v5 and attention mechanisms for field real-time detection of the invasive weed Solanum rostratum Dunal seedlings. Comput. Electron. Agric. 199: 107194 (2022) - [j9]Shundong Fang, Yanfeng Wang, Guoxiong Zhou
, Aibin Chen, Weiwei Cai
, Qifan Wang, Yahui Hu, Liujun Li:
Multi-channel feature fusion networks with hard coordinate attention mechanism for maize disease identification under complex backgrounds. Comput. Electron. Agric. 203: 107486 (2022) - [j8]Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, Xing Xie:
Graph convolution machine for context-aware recommender system. Frontiers Comput. Sci. 16(6): 166614 (2022) - [j7]Liqi Yan
, Siqi Ma, Qifan Wang
, Yingjie Victor Chen, Xiangyu Zhang, Andreas E. Savakis
, Dongfang Liu:
Video Captioning Using Global-Local Representation. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6642-6656 (2022) - 2021
- [j6]Qifan Wang, Man Cheng, Xuepeng Xiao, Hongbo Yuan, Jiajun Zhu
, Caihu Fan, Jinlin Zhang:
An image segmentation method based on deep learning for damage assessment of the invasive weed Solanum rostratum Dunal. Comput. Electron. Agric. 188: 106320 (2021) - 2017
- [j5]Yanqing Zhang
, Zhengtao Xiao
, Qin Zou
, Jianhuo Fang
, Qifan Wang
, Xuerui Yang
, Ning Gao
:
Ribosome Profiling Reveals Genome-wide Cellular Translational Regulation upon Heat Stress in Escherichia coli. Genom. Proteom. Bioinform. 15(5): 324-330 (2017) - 2016
- [j4]Bin Shen, Bao-Di Liu, Qifan Wang:
Elastic net regularized dictionary learning for image classification. Multim. Tools Appl. 75(15): 8861-8874 (2016) - [j3]Dennis Strelow, Qifan Wang, Luo Si, Anders P. Eriksson
:
General, Nested, and Constrained Wiberg Minimization. IEEE Trans. Pattern Anal. Mach. Intell. 38(9): 1803-1815 (2016) - 2015
- [j2]Xiaojun Quan, Qifan Wang, Ying Zhang, Luo Si, Wenyin Liu:
Latent Discriminative Models for Social Emotion Detection with Emotional Dependency. ACM Trans. Inf. Syst. 34(1): 2:1-2:19 (2015) - 2014
- [j1]Qifan Wang:
Applicability of Jus in Bello in Cyber Space: Dilemmas and Challenges. Int. J. Cyber Warf. Terror. 4(3): 43-62 (2014)
Conference and Workshop Papers
- 2024
- [c99]Ying Mo, Jian Yang, Jiahao Liu, Qifan Wang, Ruoyu Chen, Jingang Wang, Zhoujun Li:
MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning. AAAI 2024: 18789-18797 - [c98]Zhuo Zhang, Jintao Huang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Yue Yu, Qifan Wang, Lizhen Qu, Zenglin Xu:
Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding. LREC/COLING 2024: 14080-14091 - [c97]Chen Zhang, Yang Yang, Qifan Wang, Jiahao Liu, Jingang Wang, Wei Wu, Dawei Song:
Minimal Distillation Schedule for Extreme Language Model Compression. EACL (Findings) 2024: 1378-1394 - [c96]Barry Menglong Yao
, Sijia Wang, Yu Chen, Qifan Wang, Minqian Liu, Zhiyang Xu, Licheng Yu, Lifu Huang:
Ameli: Enhancing Multimodal Entity Linking with Fine-Grained Attributes. EACL (1) 2024: 2816-2834 - [c95]Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer:
Representation Deficiency in Masked Language Modeling. ICLR 2024 - [c94]Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu:
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods. ICLR 2024 - [c93]Cheng Han, James Chenhao Liang, Qifan Wang, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Ying Nian Wu, Dongfang Liu:
Image Translation as Diffusion Visual Programmers. ICLR 2024 - [c92]Cheng Han, Qifan Wang, Yiming Cui, Wenguan Wang, Lifu Huang, Siyuan Qi, Dongfang Liu:
Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning? ICLR 2024 - [c91]Wentao Shi
, Xiangnan He
, Yang Zhang
, Chongming Gao
, Xinyue Li
, Jizhi Zhang
, Qifan Wang
, Fuli Feng
:
Large Language Models are Learnable Planners for Long-Term Recommendation. SIGIR 2024: 1893-1903 - 2023
- [c90]Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang:
Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection. AAAI 2023: 13896-13904 - [c89]Moxin Li, Wenjie Wang, Fuli Feng, Hanwang Zhang, Qifan Wang, Tat-Seng Chua:
Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context. ACL (Findings) 2023: 1220-1236 - [c88]Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu:
MUSTIE: Multimodal Structural Transformer for Web Information Extraction. ACL (1) 2023: 2405-2420 - [c87]Rongyi Sun, Ziran Li, Yifeng Ding, Qifan Wang, Jingang Wang, Haitao Zheng, Wei Wu, Yunsen Xian:
Fusion or Defusion? Flexible Vision-and-Language Pre-Training. ACL (Findings) 2023: 5105-5119 - [c86]Aaron Mueller, Kanika Narang, Lambert Mathias, Qifan Wang, Hamed Firooz:
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning. ACL (Findings) 2023: 6049-6064 - [c85]Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, Xiang Ren:
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales. ACL (1) 2023: 7103-7128 - [c84]Zhuocheng Gong, Jiahao Liu, Qifan Wang, Yang Yang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Rui Yan:
PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models. ACL (Findings) 2023: 8065-8079 - [c83]Siyue Wu, Hongzhan Chen, Xiaojun Quan, Qifan Wang, Rui Wang:
AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression. ACL (1) 2023: 8449-8465 - [c82]Zhuo Zhang, Yuanhang Yang, Yong Dai, Qifan Wang, Yue Yu, Lizhen Qu, Zenglin Xu:
FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models. ACL (Findings) 2023: 9963-9977 - [c81]Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu:
MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction. ACL (Findings) 2023: 9978-9991 - [c80]Zihong Liang, Xiaojun Quan, Qifan Wang:
Disentangled Phonetic Representation for Chinese Spelling Correction. ACL (1) 2023: 13509-13521 - [c79]Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Kai Chen, Rui Yan:
RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank. ACL (1) 2023: 13785-13802 - [c78]Jianli Bai
, Xiangfu Song
, Xiaowu Zhang
, Qifan Wang
, Shujie Cui
, Ee-Chien Chang
, Giovanni Russello
:
Mostree: Malicious Secure Private Decision Tree Evaluation with Sublinear Communication. ACSAC 2023: 799-813 - [c77]Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan:
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. CVPR 2023: 12239-12249 - [c76]Yawen Lu, Qifan Wang, Siqi Ma, Tong Geng, Yingjie Victor Chen, Huaijin G. Chen, Dongfang Liu:
TransFlow: Transformer as Flow Learner. CVPR 2023: 18063-18073 - [c75]Harman Singh, Pengchuan Zhang, Qifan Wang, Mengjiao Wang, Wenhan Xiong, Jingfei Du, Yu Chen:
Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality. EMNLP 2023: 869-893 - [c74]Boyi Deng, Wenjie Wang, Fuli Feng, Yang Deng, Qifan Wang, Xiangnan He:
Attack Prompt Generation for Red Teaming and Defending Large Language Models. EMNLP (Findings) 2023: 2176-2189 - [c73]Yuanhang Yang, Shiyi Qi, Chuanyi Liu, Qifan Wang, Cuiyun Gao, Zenglin Xu:
Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling. EMNLP 2023: 2800-2806 - [c72]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 (Findings) 2023: 3305-3320 - [c71]Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa:
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. EMNLP (Findings) 2023: 3412-3444 - [c70]Jingyuan Qi, Zhiyang Xu, Ying Shen, Minqian Liu, Di Jin, Qifan Wang, Lifu Huang:
The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models. EMNLP 2023: 4177-4199 - [c69]Tianyuan Shi, Liangzhi Li, Zijian Lin, Tao Yang, Xiaojun Quan, Qifan Wang:
Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems. EMNLP 2023: 6566-6580 - [c68]Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Ran Wang, Rui Yan:
Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression. EMNLP (Findings) 2023: 8643-8657 - [c67]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: 9147-9160 - [c66]Nan Wang, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang, Shaoliang Nie:
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation. EMNLP 2023: 13258-13275 - [c65]Zhuocheng Gong, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan:
Improving Input-label Mapping with Demonstration Replay for In-context Learning. EMNLP (Findings) 2023: 14923-14934 - [c64]Ying Mo, Hongyin Tang, Jiahao Liu, Qifan Wang, Zenglin Xu, Jingang Wang, Wei Wu, Zhoujun Li:
Multi-Task Transformer with Relation-Attention and Type-Attention for Named Entity Recognition. ICASSP 2023: 1-5 - [c63]Cheng Han, Qifan Wang, Yiming Cui, Zhiwen Cao, Wenguan Wang, Siyuan Qi, Dongfang Liu:
E2VPT: An Effective and Efficient Approach for Visual Prompt Tuning. ICCV 2023: 17445-17456 - [c62]Jianli Bai, Xiaowu Zhang, Xiangfu Song, Hang Shao, Qifan Wang, Shujie Cui, Giovanni Russello:
CryptoMask: Privacy-Preserving Face Recognition. ICICS 2023: 333-350 - [c61]Liqi Yan
, Cheng Han, Zenglin Xu, Dongfang Liu, Qifan Wang:
Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning. IJCAI 2023: 1622-1630 - [c60]James Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu:
ClusterFomer: Clustering As A Universal Visual Learner. NeurIPS 2023 - [c59]Zheyun Qin, Cheng Han, Qifan Wang, Xiushan Nie, Yilong Yin, Xiankai Lu:
Unified 3D Segmenter As Prototypical Classifiers. NeurIPS 2023 - [c58]Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu, Qifan Wang, Hongning Wang, Haifeng Xu:
Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial? NeurIPS 2023 - [c57]Yulong Huang
, Yang Zhang
, Qifan Wang
, Chenxu Wang
, Fuli Feng
:
Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation. SIGIR 2023: 2272-2276 - [c56]Wei Cai
, Fuli Feng
, Qifan Wang
, Tian Yang
, Zhenguang Liu
, Congfu Xu
:
A Causal View for Item-level Effect of Recommendation on User Preference. WSDM 2023: 240-248 - [c55]Song Jiang
, Qiyue Yao
, Qifan Wang
, Yizhou Sun
:
A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings. WWW 2023: 2467-2476 - 2022
- [c54]Qifan Wang, Shujie Cui, Lei Zhou, Ocean Wu, Yonghua Zhu, Giovanni Russello:
EnclaveTree: Privacy-preserving Data Stream Training and Inference Using TEE. AsiaCCS 2022: 741-755 - [c53]Guanhuan Huang, Xiaojun Quan, Qifan Wang:
Autoregressive Entity Generation for End-to-End Task-Oriented Dialog. COLING 2022: 323-332 - [c52]Borun Chen, Hongyin Tang, Jiahao Bu, Kai Zhang, Jingang Wang, Qifan Wang, Hai-Tao Zheng, Wei Wu, Liqian Yu:
CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations. COLING 2022: 3098-3108 - [c51]Zhiwen Cao, Dongfang Liu, Qifan Wang, Yingjie Victor Chen:
Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian. ECCV (12) 2022: 737-753 - [c50]Qifan Wang, Li Yang, Xiaojun Quan, Fuli Feng, Dongfang Liu, Zenglin Xu, Sinong Wang, Hao Ma:
Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation. EMNLP 2022: 46-61 - [c49]Qifan Wang, Li Yang, Jingang Wang, Jitin Krishnan, Bo Dai, Sinong Wang, Zenglin Xu, Madian Khabsa, Hao Ma:
SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction. EMNLP (Findings) 2022: 263-276 - [c48]Dan Li, Yang Yang, Hongyin Tang, Jiahao Liu, Qifan Wang, Jingang Wang, Tong Xu, Wei Wu, Enhong Chen:
VIRT: Improving Representation-based Text Matching via Virtual Interaction. EMNLP 2022: 914-925 - [c47]Zhuo Zhang, Xiangjing Hu, Lizhen Qu, Qifan Wang, Zenglin Xu:
Federated Model Decomposition with Private Vocabulary for Text Classification. EMNLP 2022: 6413-6425 - [c46]Fang Ma, Chen Zhang, Lei Ren, Jingang Wang, Qifan Wang, Wei Wu, Xiaojun Quan, Dawei Song:
XPrompt: Exploring the Extreme of Prompt Tuning. EMNLP 2022: 11033-11047 - [c45]Liqi Yan
, Qifan Wang, Yiming Cui, Fuli Feng, Xiaojun Quan, Xiangyu Zhang, Dongfang Liu:
GL-RG: Global-Local Representation Granularity for Video Captioning. IJCAI 2022: 2769-2775 - [c44]Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang, Shaoliang Nie:
AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning. NeurIPS 2022 - [c43]Li Yang, Qifan Wang, Zac Yu
, Anand Kulkarni, Sumit Sanghai, Bin Shu, Jon Elsas, Bhargav Kanagal:
MAVE: A Product Dataset for Multi-source Attribute Value Extraction. WSDM 2022: 1256-1265 - [c42]Qifan Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu:
Deep Partial Multiplex Network Embedding. WWW (Companion Volume) 2022: 1053-1062 - [c41]Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu:
WebFormer: The Web-page Transformer for Structure Information Extraction. WWW 2022: 3124-3133 - 2021
- [c40]Chenyang Li, Tianwei Wang, Yiheng Zhang, Xinxu Xu, Qifan Wang, Ruichen Zheng, He Cui:
Serial Decoding of Macaque Intracortical Activity for Feedforward Control of Coherent Sequential Reach. NER 2021: 49-52 - [c39]Qifan Wang, Jiapeng Yin, He Cui:
Reinforcement of Neuropixels probes for high-density neural recording in non-human primates. NER 2021: 128-131 - [c38]Kosuke Shimizu, Qifan Wang, Taizo Suzuki:
AC Prediction Error Propagation-based Encryption for Texture Protection of JPEG Compressed Images. PCS 2021: 1-5 - [c37]Chenyang Li, Yiheng Zhang, Tianwei Wang, Xinxu Xu, Qifan Wang, Ruichen Zheng, He Cui:
Detecting Movement Timing from Primate Intracortical Signals for Brain-machine Interfaces in Dynamic Environment. RCAR 2021: 304-308 - [c36]Fuli Feng, Weiran Huang, Xiangnan He, Xin Xin, Qifan Wang, Tat-Seng Chua:
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method. SIGIR 2021: 1208-1218 - 2020
- [c35]Qifan Wang, Benjamin C. M. Fung, Patrick C. K. Hung:
DUGRA: Dual-Graph Representation Learning for Health Information Networks. IEEE BigData 2020: 4961-4970 - [c34]Joshua Ainslie, Santiago Ontañón, Chris Alberti, Vaclav Cvicek, Zachary Fisher, Philip Pham, Anirudh Ravula, Sumit Sanghai, Qifan Wang, Li Yang:
ETC: Encoding Long and Structured Inputs in Transformers. EMNLP (1) 2020: 268-284 - [c33]Qifan Wang, Li Yang, Bhargav Kanagal, Sumit Sanghai, D. Sivakumar, Bin Shu, Zac Yu
, Jon Elsas:
Learning to Extract Attribute Value from Product via Question Answering: A Multi-task Approach. KDD 2020: 47-55 - [c32]Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed:
Big Bird: Transformers for Longer Sequences. NeurIPS 2020 - 2019
- [c31]Qifan Wang, Bhargav Kanagal, Vijay Garg, D. Sivakumar:
Constructing a Comprehensive Events Database from the Web. CIKM 2019: 229-238 - [c30]Qifan Wang, Lei Zhou, Zhe Tang, Guojun Wang
:
A Consortium Blockchain-Based Model for Data Sharing in Internet of Vehicles. iSCI 2019: 253-267 - 2018
- [c29]Chenyang Li, Yiheng Zhang, Tianwei Wang, Xinxiu Xu, Qifan Wang, He Cui:
An Implementation of Brain-Machine Interface by Decoding Predictive Intracortical Signals toward a Moving Object*. CBS 2018: 520-523 - [c28]Qifan Wang, Rencheng Zheng, Alin Achim
:
Super-Resolution in Optical Coherence Tomography. EMBC 2018: 1-4 - 2017
- [c27]Qifan Wang, Gal Chechik
, Chen Sun, Bin Shen:
Instance-Level Label Propagation with Multi-Instance Learning. IJCAI 2017: 2943-2949 - [c26]Qifan Wang, Guihua Duan, Entao Luo, Guojun Wang:
Research on Internet of Vehicles' Privacy Protection Based on Tamper-Proof with Ciphertext. SpaCCS 2017: 42-55 - 2016
- [c25]Bin Shen, Cheng Lu, Qifan Wang, Si Chen, Yan Yan:
One-Class Maximum Margin Matrix Factorization. IMAWM 2016: 1-6 - [c24]Zhiwei Zhang, Qifan Wang, Luo Si, Jianfeng Gao:
Learning for Efficient Supervised Query Expansion via Two-stage Feature Selection. SIGIR 2016: 265-274 - 2015
- [c23]Bin Shen, Bao-Di Liu, Qifan Wang, Yi Fang, Jan P. Allebach:
SP-SVM: Large Margin Classifier for Data on Multiple Manifolds. AAAI 2015: 2965-2971 - [c22]Qifan Wang, Luo Si, Bin Shen:
Learning to Hash on Structured Data. AAAI 2015: 3066-3072 - [c21]Zhongshu Gu, Kexin Pei, Qifan Wang, Luo Si, Xiangyu Zhang, Dongyan Xu:
LEAPS: Detecting Camouflaged Attacks with Statistical Learning Guided by Program Analysis. DSN 2015: 57-68 - [c20]Bin Shen, Qifan Wang, Jan P. Allebach:
Piecewise linear dimension reduction for nonnegative data. IMAWM 2015: 940804 - [c19]Tao Wu, Qifan Wang, Zhiwei Zhang, Luo Si:
Determining Expert Research Areas with Multi-Instance Learning of Hierarchical Multi-Label Classification Model. IJCAI 2015: 2305-2312 - [c18]Qifan Wang, Luo Si, Bin Shen:
Learning to Hash on Partial Multi-Modal Data. IJCAI 2015: 3904-3910 - [c17]Qifan Wang, Zhiwei Zhang, Luo Si:
Ranking Preserving Hashing for Fast Similarity Search. IJCAI 2015: 3911-3917 - [c16]Jingang Wang, Dandan Song, Qifan Wang, Zhiwei Zhang, Luo Si, Lejian Liao, Chin-Yew Lin:
An Entity Class-Dependent Discriminative Mixture Model for Cumulative Citation Recommendation. SIGIR 2015: 635-644 - 2014
- [c15]Qifan Wang, Lingyun Ruan, Luo Si:
Adaptive Knowledge Transfer for Multiple Instance Learning in Image Classification. AAAI 2014: 1334-1340 - [c14]Qifan Wang, Bin Shen, Zhiwei Zhang, Luo Si:
Sparse Semantic Hashing for Efficient Large Scale Similarity Search. CIKM 2014: 1899-1902 - [c13]Qifan Wang, Luo Si, Dan Zhang:
Learning to Hash with Partial Tags: Exploring Correlation between Tags and Hashing Bits for Large Scale Image Retrieval. ECCV (3) 2014: 378-392 - [c12]Qifan Wang, Bin Shen, Shumiao Wang, Liang Li, Luo Si:
Binary Codes Embedding for Fast Image Tagging with Incomplete Labels. ECCV (2) 2014: 425-439 - [c11]Bin Shen, Bao-Di Liu, Qifan Wang, Rongrong Ji:
Robust nonnegative matrix factorization via L1 norm regularization by multiplicative updating rules. ICIP 2014: 5282-5286 - [c10]Zhiwei Zhang, Qifan Wang, Lingyun Ruan, Luo Si:
Preference preserving hashing for efficient recommendation. SIGIR 2014: 183-192 - [c9]Qifan Wang, Luo Si, Zhiwei Zhang, Ning Zhang:
Active hashing with joint data example and tag selection. SIGIR 2014: 405-414 - [c8]Ying Zhang, Ning Zhang, Luo Si, Yanshan Lu, Qifan Wang, Xiaojie Yuan:
Cross-domain and cross-category emotion tagging for comments of online news. SIGIR 2014: 627-636 - 2013
- [c7]Qifan Wang, Dan Zhang, Luo Si:
Weighted hashing for fast large scale similarity search. CIKM 2013: 1185-1188 - [c6]Qifan Wang, Lingyun Ruan, Zhiwei Zhang, Luo Si:
Learning compact hashing codes for efficient tag completion and prediction. CIKM 2013: 1789-1794 - [c5]Qifan Wang, Dan Zhang, Luo Si:
Semantic hashing using tags and topic modeling. SIGIR 2013: 213-222 - 2012
- [c4]Qifan Wang, Luo Si, Dan Zhang:
A Discriminative Data-Dependent Mixture-Model Approach for Multiple Instance Learning in Image Classification. ECCV (4) 2012: 660-673 - 2011
- [c3]Qifan Wang, Luo Si:
A robust one-class bayesian approach for masquerade detection. AISec 2011: 111-112 - [c2]Dzung Hong, Qifan Wang, Dan Zhang, Luo Si:
Query Expansion and Message-Passing Algorithms for TREC Microblog Track. TREC 2011 - 2010
- [c1]Qifan Wang, Linmi Tao, Huijun Di:
A Globally Optimal Approach for 3D Elastic Motion Estimation from Stereo Sequences. ECCV (4) 2010: 525-538
Informal and Other Publications
- 2024
- [i84]Cheng Han, James Chenhao Liang, Qifan Wang, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Ying Nian Wu, Dongfang Liu:
Image Translation as Diffusion Visual Programmers. CoRR abs/2401.09742 (2024) - [i83]Cheng Han, Qifan Wang, Yiming Cui, Wenguan Wang, Lifu Huang, Siyuan Qi, Dongfang Liu:
Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning? CoRR abs/2401.12902 (2024) - [i82]Zihao Lin, Mohammad Beigi, Hongxuan Li, Yufan Zhou, Yuxiang Zhang, Qifan Wang, Wenpeng Yin, Lifu Huang:
Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models. CoRR abs/2402.11122 (2024) - [i81]Zhiyang Xu, Chao Feng, Rulin Shao, Trevor Ashby, Ying Shen, Di Jin, Yu Cheng, Qifan Wang, Lifu Huang:
Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning. CoRR abs/2402.11690 (2024) - [i80]Ying Shen, Zhiyang Xu, Qifan Wang, Yu Cheng, Wenpeng Yin, Lifu Huang:
Multimodal Instruction Tuning with Conditional Mixture of LoRA. CoRR abs/2402.15896 (2024) - [i79]Shiyi Qi, Zenglin Xu, Yiduo Li, Liangjian Wen, Qingsong Wen, Qifan Wang, Yuan Qi:
PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations. CoRR abs/2402.16913 (2024) - [i78]Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng:
Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning. CoRR abs/2403.00843 (2024) - [i77]Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua:
Think Twice Before Assure: Confidence Estimation for Large Language Models through Reflection on Multiple Answers. CoRR abs/2403.09972 (2024) - [i76]Zhiyuan Peng, Xuyang Wu, Qifan Wang, Sravanthi Rajanala, Yi Fang:
Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models. CoRR abs/2404.04522 (2024) - [i75]Pengfei Wu, Jiahao Liu, Zhuocheng Gong, Qifan Wang, Jinpeng Li, Jingang Wang, Xunliang Cai, Dongyan Zhao:
Parallel Decoding via Hidden Transfer for Lossless Large Language Model Acceleration. CoRR abs/2404.12022 (2024) - [i74]Fan Yao, Yiming Liao, Mingzhe Wu, Chuanhao Li, Yan Zhu, James Yang, Qifan Wang, Haifeng Xu, Hongning Wang:
User Welfare Optimization in Recommender Systems with Competing Content Creators. CoRR abs/2404.18319 (2024) - [i73]Cheng Han, Yawen Lu, Guohao Sun, James Chenhao Liang, Zhiwen Cao, Qifan Wang, Qiang Guan, Sohail A. Dianat, Raghuveer M. Rao, Tong Geng, Zhiqiang Tao, Dongfang Liu:
Prototypical Transformer as Unified Motion Learners. CoRR abs/2406.01559 (2024) - [i72]Yuchen Zhuang, Haotian Sun, Yue Yu, Rushi Qiang, Qifan Wang, Chao Zhang, Bo Dai:
HYDRA: Model Factorization Framework for Black-Box LLM Personalization. CoRR abs/2406.02888 (2024) - [i71]Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai:
Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism. CoRR abs/2406.03853 (2024) - [i70]Yawen Lu, Dongfang Liu, Qifan Wang, Cheng Han, Yiming Cui, Zhiwen Cao, Xueling Zhang, Yingjie Victor Chen, Heng Fan:
ProMotion: Prototypes As Motion Learners. CoRR abs/2406.04999 (2024) - [i69]Zhiyuan Cheng, Cheng Han, James Liang, Qifan Wang, Xiangyu Zhang, Dongfang Liu:
Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks. CoRR abs/2406.05857 (2024) - [i68]Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu:
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction. CoRR abs/2406.06839 (2024) - [i67]Boyi Deng, Wenjie Wang, Fengbin Zhu, Qifan Wang, Fuli Feng:
CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG. CoRR abs/2406.11497 (2024) - [i66]Mohammad Beigi, Ying Shen, Runing Yang, Zihao Lin, Qifan Wang, Ankith Mohan, Jianfeng He, Ming Jin, Chang-Tien Lu, Lifu Huang:
InternalInspector I2: Robust Confidence Estimation in LLMs through Internal States. CoRR abs/2406.12053 (2024) - [i65]Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng:
Direct Multi-Turn Preference Optimization for Language Agents. CoRR abs/2406.14868 (2024) - [i64]Zhiyang Xu, Minqian Liu, Ying Shen, Joy Rimchala, Jiaxin Zhang, Qifan Wang, Yu Cheng, Lifu Huang:
Lateralization LoRA: Interleaved Instruction Tuning with Modality-Specialized Adaptations. CoRR abs/2407.03604 (2024) - [i63]Cheng Han, Qifan Wang, Sohail A. Dianat, Majid Rabbani, Raghuveer M. Rao, Yi Fang, Qiang Guan, Lifu Huang, Dongfang Liu:
AMD: Automatic Multi-step Distillation of Large-scale Vision Models. CoRR abs/2407.04208 (2024) - 2023
- [i62]Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu:
Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity. CoRR abs/2301.13443 (2023) - [i61]Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer:
Representation Deficiency in Masked Language Modeling. CoRR abs/2302.02060 (2023) - [i60]Dun Zeng, Xiangjing Hu, Shiyu Liu, Yue Yu, Qifan Wang, Zenglin Xu:
Stochastic Clustered Federated Learning. CoRR abs/2303.00897 (2023) - [i59]Ying Mo, Hongyin Tang, Jiahao Liu, Qifan Wang, Zenglin Xu, Jingang Wang, Wei Wu, Zhoujun Li:
Multi-task Transformer with Relation-attention and Type-attention for Named Entity Recognition. CoRR abs/2303.10870 (2023) - [i58]Chenbin Pan, Rui Hou, Hanchao Yu, Qifan Wang, Senem Velipasalar, Madian Khabsa:
SVT: Supertoken Video Transformer for Efficient Video Understanding. CoRR abs/2304.00325 (2023) - [i57]Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan:
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. CoRR abs/2304.01482 (2023) - [i56]Yawen Lu, Qifan Wang, Siqi Ma, Tong Geng, Yingjie Victor Chen, Huaijin G. Chen, Dongfang Liu:
TransFlow: Transformer as Flow Learner. CoRR abs/2304.11523 (2023) - [i55]Yulong Huang, Yang Zhang, Qifan Wang, Chenxu Wang, Fuli Feng:
Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation. CoRR abs/2304.14050 (2023) - [i54]Yuchen Liu, Natasha Ong, Kaiyan Peng, Bo Xiong, Qifan Wang, Rui Hou, Madian Khabsa, Kaiyue Yang, David Liu, Donald S. Williamson, Hanchao Yu:
MMViT: Multiscale Multiview Vision Transformers. CoRR abs/2305.00104 (2023) - [i53]Qifan Wang, Shujie Cui, Lei Zhou, Ye Dong, Jianli Bai, Yun Sing Koh, Giovanni Russello:
GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference. CoRR abs/2305.00645 (2023) - [i52]Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, Xiang Ren:
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-Text Rationales. CoRR abs/2305.07095 (2023) - [i51]Siyue Wu, Hongzhan Chen, Xiaojun Quan, Qifan Wang, Rui Wang:
AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression. CoRR abs/2305.10010 (2023) - [i50]Harman Singh, Pengchuan Zhang, Qifan Wang, Mengjiao Wang, Wenhan Xiong, Jingfei Du, Yu Chen:
Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality. CoRR abs/2305.13812 (2023) - [i49]Barry Menglong Yao, Yu Chen, Qifan Wang, Sijia Wang, Minqian Liu, Zhiyang Xu, Licheng Yu, Lifu Huang:
AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes. CoRR abs/2305.14725 (2023) - [i48]Zihong Liang, Xiaojun Quan, Qifan Wang:
Disentangled Phonetic Representation for Chinese Spelling Correction. CoRR abs/2305.14783 (2023) - [i47]Jingyuan Qi, Zhiyang Xu, Ying Shen, Minqian Liu, Di Jin, Qifan Wang, Lifu Huang:
The Art of SOCRATIC QUESTIONING: Zero-shot Multimodal Reasoning with Recursive Thinking and Self-Questioning. CoRR abs/2305.14999 (2023) - [i46]Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Kai Chen, Rui Yan:
RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank. CoRR abs/2305.16726 (2023) - [i45]Zhuocheng Gong, Jiahao Liu, Qifan Wang, Yang Yang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Rui Yan:
PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models. CoRR abs/2306.00014 (2023) - [i44]Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu, Qifan Wang, Hongning Wang, Haifeng Xu:
Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial? CoRR abs/2306.07893 (2023) - [i43]Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu:
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods. CoRR abs/2306.09468 (2023) - [i42]Aaron Mueller, Kanika Narang, Lambert Mathias, Qifan Wang, Hamed Firooz:
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning. CoRR abs/2307.00119 (2023) - [i41]Yang Zhang, Zhiyu Hu, Yimeng Bai, Fuli Feng, Jiancan Wu, Qifan Wang, Xiangnan He:
Recommendation Unlearning via Influence Function. CoRR abs/2307.02147 (2023) - [i40]Jianli Bai, Xiaowu Zhang, Xiangfu Song, Hang Shao, Qifan Wang, Shujie Cui, Giovanni Russello:
CryptoMask : Privacy-preserving Face Recognition. CoRR abs/2307.12010 (2023) - [i39]Cheng Han, Qifan Wang, Yiming Cui, Zhiwen Cao, Wenguan Wang, Siyuan Qi, Dongfang Liu:
E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning. CoRR abs/2307.13770 (2023) - [i38]Ying Mo, Jian Yang, Jiahao Liu, Qifan Wang, Ruoyu Chen, Jingang Wang, Zhoujun Li:
mCL-NER: Cross-Lingual Named Entity Recognition via Multi-view Contrastive Learning. CoRR abs/2308.09073 (2023) - [i37]Chi Han, Qifan Wang, Wenhan Xiong, Yu Chen, Heng Ji, Sinong Wang:
LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models. CoRR abs/2308.16137 (2023) - [i36]James Chenhao Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu:
ClusterFormer: Clustering As A Universal Visual Learner. CoRR abs/2309.13196 (2023) - [i35]Jianli Bai, Xiangfu Song, Xiaowu Zhang, Qifan Wang, Shujie Cui, Ee-Chien Chang, Giovanni Russello:
Mostree : Malicious Secure Private Decision Tree Evaluation with Sublinear Communication. CoRR abs/2309.17124 (2023) - [i34]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:
On the Equivalence of Graph Convolution and Mixup. CoRR abs/2310.00183 (2023) - [i33]Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang:
Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling. CoRR abs/2310.02698 (2023) - [i32]Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang:
Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization. CoRR abs/2310.02702 (2023) - [i31]Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz:
Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. CoRR abs/2310.04743 (2023) - [i30]Zheshun Wu, Zenglin Xu, Dun Zeng, Qifan Wang:
Federated Generalization via Information-Theoretic Distribution Diversification. CoRR abs/2310.07171 (2023) - [i29]Boyi Deng, Wenjie Wang, Fuli Feng, Yang Deng, Qifan Wang, Xiangnan He:
Attack Prompt Generation for Red Teaming and Defending Large Language Models. CoRR abs/2310.12505 (2023) - [i28]Tianyuan Shi, Liangzhi Li, Zijian Lin, Tao Yang, Xiaojun Quan, Qifan Wang:
Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems. CoRR abs/2310.14528 (2023) - [i27]Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Ran Lucien Wang, Rui Yan:
Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression. CoRR abs/2310.15594 (2023) - [i26]Yang Zhang, Fuli Feng, Jizhi Zhang, Keqin Bao, Qifan Wang, Xiangnan He:
CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation. CoRR abs/2310.19488 (2023) - [i25]Zhuocheng Gong, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan:
Improving Input-label Mapping with Demonstration Replay for In-context Learning. CoRR abs/2310.19572 (2023) - [i24]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. CoRR abs/2310.20256 (2023) - [i23]Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao:
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming. CoRR abs/2311.07689 (2023) - [i22]Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa:
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. CoRR abs/2312.04032 (2023) - [i21]Shraman Pramanick, Guangxing Han, Rui Hou, Sayan Nag, Ser-Nam Lim, Nicolas Ballas, Qifan Wang, Rama Chellappa, Amjad Almahairi:
Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model. CoRR abs/2312.12423 (2023) - 2022
- [i20]Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu:
WebFormer: The Web-page Transformer for Structure Information Extraction. CoRR abs/2202.00217 (2022) - [i19]Qifan Wang, Shujie Cui, Lei Zhou, Ocean Wu, Yonghua Zhu, Giovanni Russello:
EnclaveTree: Privacy-preserving Data Stream Training and Inference Using TEE. CoRR abs/2203.01438 (2022) - [i18]Qifan Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu:
Deep Partial Multiplex Network Embedding. CoRR abs/2203.02656 (2022) - [i17]Liqi Yan, Qifan Wang, Yiming Cui, Fuli Feng, Xiaojun Quan, Xiangyu Zhang, Dongfang Liu:
GL-RG: Global-Local Representation Granularity for Video Captioning. CoRR abs/2205.10706 (2022) - [i16]Chen Zhang, Yang Yang, Qifan Wang, Jiahao Liu, Jingang Wang, Wei Wu, Dawei Song:
AutoDisc: Automatic Distillation Schedule for Large Language Model Compression. CoRR abs/2205.14570 (2022) - [i15]Zhiwen Cao, Dongfang Liu, Qifan Wang, Yingjie Victor Chen:
Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian. CoRR abs/2208.09122 (2022) - [i14]Prabhjot Kaur, Qifan Wang, Weisong Shi:
Fall Detection from Audios with Audio Transformers. CoRR abs/2208.10659 (2022) - [i13]Borun Chen, Hongyin Tang, Jingang Wang, Qifan Wang, Hai-Tao Zheng, Wei Wu, Liqian Yu:
CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations. CoRR abs/2208.10844 (2022) - [i12]Guanhuan Huang, Xiaojun Quan, Qifan Wang:
Autoregressive Entity Generation for End-to-End Task-Oriented Dialog. CoRR abs/2209.08708 (2022) - [i11]Chenxu Wang, Fuli Feng, Yang Zhang, Qifan Wang, Xunhan Hu, Xiangnan He:
Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation. CoRR abs/2209.11679 (2022) - [i10]Fang Ma, Chen Zhang, Lei Ren, Jingang Wang, Qifan Wang, Wei Wu, Xiaojun Quan, Dawei Song:
XPrompt: Exploring the Extreme of Prompt Tuning. CoRR abs/2210.04457 (2022) - [i9]Yuanhang Yang, Shiyi Qi, Cuiyun Gao, Zenglin Xu, Yulan He
, Qifan Wang, Chuanyi Liu:
Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling. CoRR abs/2210.05261 (2022) - [i8]Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang, Shaoliang Nie:
AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning. CoRR abs/2210.05883 (2022) - [i7]Nan Wang, Shaoliang Nie, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang:
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation. CoRR abs/2210.15500 (2022) - [i6]Yifang Chen, Karthik Abinav Sankararaman, Alessandro Lazaric, Matteo Pirotta, Dmytro Karamshuk, Qifan Wang, Karishma Mandyam, Sinong Wang, Han Fang:
Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler. CoRR abs/2211.02233 (2022) - [i5]Liqi Yan, Qifan Wang, Siqi Ma, Jingang Wang, Changbin Yu:
Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework with Spatio-Temporal Collaboration. CoRR abs/2212.07592 (2022) - 2021
- [i4]Li Yang, Qifan Wang, Zac Yu, Anand Kulkarni, Sumit Sanghai, Bin Shu, Jon Elsas, Bhargav Kanagal:
MAVE: A Product Dataset for Multi-source Attribute Value Extraction. CoRR abs/2112.08663 (2021) - 2020
- [i3]Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen
, Jianxun Lian, Xing Xie, Yongdong Zhang:
Graph Convolution Machine for Context-aware Recommender System. CoRR abs/2001.11402 (2020) - [i2]Manzil Zaheer, Guru Guruganesh, Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed:
Big Bird: Transformers for Longer Sequences. CoRR abs/2007.14062 (2020) - [i1]Weijian Chen
, Fuli Feng, Qifan Wang, Xiangnan He, Chonggang Song, Guohui Ling, Yongdong Zhang:
CatGCN: Graph Convolutional Networks with Categorical Node Features. CoRR abs/2009.05303 (2020)
Coauthor Index
![](https://dblp1.uni-trier.de/img/cog.dark.24x24.png)
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