Year of 2024
Large Language Models are Learnable Planners for Long-Term Engagement in Recommendation
Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng
Proceedings of SIGIR 2024
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
Proceedings of NAACL 2024
LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models
Chi Han, Qifan Wang, Hao Peng, Wenhan Xiong, Yu Chen, Heng Ji, Sinong Wang
Proceedings of NAACL 2024
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
Proceedings of NAACL 2024
LLM-Rec: Personalized Recommendation via Prompting Large Language Models
Hanjia Lyu, Song Jiang, Hanqing Zeng, Yinglong Xia, Qifan Wang, Si Zhang, Ren Chen, Chris Leung, Jiajie Tang, Jiebo Luo
Proceedings of NAACL 2024
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
Proceedings of CVPR 2024
ProMotion: Prototypes As Motion Learners
Yawen Lu, Dongfang Liu, Qifan Wang, Cheng Han, Yiming Cui, Zhiwen Cao, Xueling Zhang, Yingjie Chen, Heng Fan
Proceedings of CVPR 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 EACL 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 EACL 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
Proceedings of ICLR 2024
Representation Deficiency in Masked Language Modeling
Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer
Proceedings of ICLR 2024
Image Translation as Diffusion Visual Programmers
Cheng Han, James Liang, Qifan Wang, Majid Rabbani, Sohail Dianat, Raghuveer Rao, Ying Nian Wu, Dongfang Liu
Proceedings of ICLR 2024
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
Proceedings of ICLR 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 AAAI 2024
Year of 2023
Interactive Active Learning for Fairness with Partial Group Label
Zeyu Yang, Jizhi Zhang, Fuli Feng, Chongming Gao, Qifan Wang, Xiangnan He
AI Open 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 EMNLP 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 EMNLP 2023
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation
Nan Wang, Qifan Wang, Shaoliang Nie, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang
Proceedings of EMNLP 2023
Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems
Tianyuan Shi, Liangzhi Li, Zijian Lin, Tao Yang, Xiaojun Quan, Qifan Wang
Proceedings of EMNLP 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 EMNLP 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 EMNLP 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 EMNLP 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 EMNLP 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
Proceedings of EMNLP 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 EMNLP 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 EMNLP 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 NeurIPS 2023
ClusterFomer: Clustering As A Universal Visual Learner
James Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu
Proceedings of NeurIPS 2023
Unified 3D Segmenter As Prototypical Classifiers
Zheyun Qin, Cheng Han, Xiankai Lu, Qifan Wang, Xiushan Nie, Yilong Yin
Proceedings of NeurIPS 2023
Boosting Adversarial Robustness via Self-Paced Adversarial Training
Lirong He, Qingzhong Ai, Xincheng Yang, Yazhou Ren, Qifan Wang, Zenglin Xu
Neural Networks 2023
Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation
Chenxu Wang, Fuli Feng, Yang Zhang, Qifan Wang, Xunhan Hu, Xiangnan He
Transactions on Big Data 2023
E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning
Cheng Han, Qifan Wang, Yiming Cui, Zhiwei Cao, Wenguan Wang, Siyuan Qi, Dongfang Liu
Proceedings of ICCV 2023
Retiring ∆DP: New Distribution-Level Metrics for Demographic Parity
Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu
Transactions on Machine Learning Research (TMLR) 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 and Dongfang Liu
Proceedings of ACL 2023
Meta-learning with Demonstration Retrieval for Efficient Few-shot Learning
Aaron Mueller, Kanika Narang, Lambert Mathias, Qifan Wang and Hamed Firooz
Proceedings of ACL 2023
AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression
Siyue Wu, Hongzhan Chen, Xiaojun Quan, Qifan Wang and Rui Wang
Proceedings of ACL 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 and Dongfang Liu
Proceedings of ACL 2023
*Equal Contribution
Disentangled Phonetic Representation for Chinese Spelling Correction
Zihong Liang, Xiaojun Quan and Qifan Wang
Proceedings of ACL 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 and Rui Yan
Proceedings of ACL 2023
FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models
Zhuo Zhang, Yuanhang Yang, Yong Dai, Lizhen Qu, Qifan Wang, Yue Yu and Zenglin Xu
Proceedings of ACL 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 and Rui Yan
Proceedings of ACL 2023
Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context
Moxin Li, Wenjie Wang, Fuli Feng, Hanwang Zhang, Qifan Wang and Tat-Seng Chua
Proceedings of ACL 2023
Fusion or Defusion? A Flexible Vision-and-Language Pre-Training Model
Rongyi Sun, Ziran Li, Yifeng Ding, Qifan Wang, Jingang Wang, Haitao Zheng, Wei Wu and Yunsen Xian
Proceedings of ACL 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 and Xiang Ren
Proceedings of ACL 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 IJCAI 2023
Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation
Yang Zhang, Yulong Huang, Qifan Wang, Chenxu Wang, Fuli Feng
Proceedings of SIGIR 2023
TransFlow: Transformer as Flow Learner
Yawen Lu, Qifan Wang, Siqi Ma, Tong Geng, Yingjie Victor Chen, Huaijin Chen, Dongfang Liu
Proceedings of CVPR 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 CVPR 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 ICASSP 2023
A Vector Is Not Enough: Taxonomy Expansion via Box Embeddings
Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun
Proceedings of WWW 2023
Best Student Paper Award
Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection
Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang
Proceedings of AAAI 2023
A Causal View for Item-level Effect of Recommendation on User Preference
Wei Cai, Fuli Feng, Qifan Wang, Tian Yang, Zhenguang Liu and Congfu Xu
Proceedings of WSDM 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
In ICML 2023 MFPL Workshop
Stochastic Clustered Federated Learning
Dun Zeng, Xiangjing Hu, SHIYU LIU, Yue Yu, Hui Wang, Qifan Wang, Zenglin Xu
In KDD 2023 FL4Data-Mining Workshop
Year of 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 and Hao Ma
Proceedings of EMNLP 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 and Hao Ma
Proceedings of EMNLP 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 and Enhong Chen
Proceedings of EMNLP 2022
Federated Decomposition: Protecting Vocabulary Privacy in Federated Language Processing Tasks
Zhuo Zhang, Xiangjing Hu, Lizhen Qu, Qifan Wang and Zenglin Xu
Proceedings of EMNLP 2022
XPrompt: Exploring the Extreme of Prompt Tuning
Fang Ma, Chen Zhang, Lei Ren, Jingang Wang, Qifan Wang, Wei Wu, Xiaojun Quan and Dawei Song
Proceedings of EMNLP 2022
AD-DROP: Attribution Driven Dropout for Robust Language Model Finetuning
Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang, Shaoliang Nie
Proceedings of NeurIPS 2022
Autoregressive Entity Generation for End-to-End Task-Oriented Dialog
Guanhuan Huang, Xiaojun Quan, Qifan Wang
Proceedings of COLING 2022
CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations
Borun Chen, Hongyin Tang, Jingang Wang, Wei Wu, Qifan Wang, Haitao Zheng, Liqian Yu
Proceedings of COLING 2022
Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian
Zhiwen Cao, Dongfang Liu, Qifan Wang, Yingjie Chen
Proceedings of ECCV 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 IJCAI 2022
Deep Partial Multiplex Network Embedding
Qifan Wang, Yi Fang, Ruining He, Anirudh Ravula, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu
Proceedings of WWW 2022
WebFormer: The Web-page Transformer for Structure Information Extraction
Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu
Proceedings of WWW 2022
CatGCN: Graph Convolutional Networks with Categorical Node Features
Weijian Chen, Fuli Feng, Qifan Wang, Xiangnan He, Chonggang Song, Guohui Ling, Yongdong Zhang
IEEE Transactions on Knowledge and Data Engineering (TKDE) 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 WSDM 2022
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 Transactions on Circuits and Systems for Video Technology (TCSVT) 2022
Video Captioning Using Global-Local Representation
Liqi Yan, Siqi Ma, Qifan Wang, Yingjie Chen, Xiangyu Zhang, Andreas Savakis, Dongfang Liu
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2022
Fall Detection from Audios with Audio Transformers
Prabhjot Kaur, Qifan Wang, Weisong Shi
IEEE/ACM CHASE 2022
Year of 2021
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method
Fuli Feng, Weiran Huang, Xin Xin, Xiangnan He, Qifan Wang, Tat-Seng Chua
Proceedings of SIGIR 2021
Deep Multi-View Network Embedding on Incomplete Data
Qifan Wang, Ruining He
US Patent 2021
Graph Convolution Machine for Context-aware Recommender System
Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, Xing Xie
Frontiers of Computer Science (FOCS) 2021
Year of 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 SIGKDD 2020
Big Bird: Transformers for Longer Sequences
Manzil Zaheer, Guru Guruganesh, Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed
Proceedings of NeurIPS 2020
ETC: Encoding Long and Structured Inputs in Transformers
Joshua Ainslie, Santiago Ontanon, Chris Alberti, Vaclav Cvicek, Zachary Fisher, Philip Pham, Anirudh Ravula, Sumit Sanghai, Qifan Wang, Li Yang
Proceedings of EMNLP 2020
Year of 2019
Constructing a Comprehensive Events Database from the Web
Qifan Wang, Bhargav Kanagal, Vijay Garg, D. Sivakumar
Proceedings of CIKM 2019
Year of 2017
Instance-Level Label Propagation with Multi-Instance Learning
Qifan Wang, Gal Chechik, Chen Sun, Bin Shen
Proceedings of IJCAI 2017
Year of 2016
General, Nested, and Constrained
Wiberg Minimization
Dennis Strelow, Qifan Wang, Luo Si, Anders Eriksson
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2016
Learning for Efficient Supervised Query Expansion via
Two-stage Feature Selection
Zhiwei Zhang, Qifan Wang, Luo Si, Jianfeng Gao
Proceedings of SIGIR 2016
Elastic Net Regularized Dictionary Learning for Image Classification
Bin Shen, Bao-Di Liu, Qifan Wang
Multimedia Tools and Applications 2016
One-Class Maximum Margin Matrix Factorization
Bin Shen, Cheng Lu, Qifan Wang, Si Chen, Yan Yan
Proceedings of SPIE/IS&T Electronic Imaging 2016
Year of 2015
Learning Compact Hashing Codes with Complex Objectives from Multiple Sources for Large Scale Similarity Search
Qifan Wang
PhD Thesis, Purdue University, 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 SIGIR 2015
Ranking Preserving Hashing for Fast Similarity Search
Qifan Wang, Zhiwei Zhang, Luo Si
Proceedings of IJCAI 2015
Learning to Hash on Partial Multi-Modal Data
Qifan Wang, Luo Si, Bin Shen
Proceedings of IJCAI 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 IJCAI 2015
Learning to Hash on Structured Data
Qifan Wang, Luo Si, Bin Shen
Proceedings of AAAI 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 AAAI 2015
Latent Discriminative Models for Social Emotion Detection with Emotional
Dependency
Xiaojun Quan, Qifan Wang, Ying Zhang, Luo Si, Liu Wenyin
ACM Transactions on Information Systems (TOIS) 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 International Conference on Dependable Systems and Networks 2015
Piecewise Linear Dimension Reduction for Nonnegative Data
Bin Shen, Qifan Wang, Jan P.Allebach
Proceedings of SPIE/IS&T Electronic Imaging 2015
Year of 2014
Adaptive Knowledge Transfer for Multiple Instance Learning in Image Classification
Qifan Wang, Lingyun Ruan, Luo Si
Proceedings of AAAI 2014
Active Hashing with Joint Data Example and Tag
Selection
Qifan Wang, Luo Si, Zhiwei Zhang, Ning Zhang
Proceedings of SIGIR 2014
Preference Preserving Hashing for
Efficient Recommendation
Zhiwei Zhang, Qifan Wang, Lingyun Ruan, Luo Si
Proceedings of SIGIR 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 SIGIR 2014
Binary Codes Embedding
for Fast Image Tagging with Incomplete Labels
Qifan Wang, Bin Shen, Shumiao Wang, Liang Li, Luo Si
Proceedings of ECCV 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 ECCV 2014
Sparse Semantic Hashing for Efficient Large Scale Similarity Search
Qifan Wang, Bin Shen, Zhiwei Zhang, Luo Si
Proceedings of CIKM 2014
Robust Nonnegative Matrix Factorization via L1 Norm Regularization by Multiplicative Updating Rules
Bin Shen, Bao-Di Liu, Qifan Wang, Rongrong Ji
Proceedings of ICIP 2014
Year of 2013
Semantic Hashing using Tags and Topic Modeling
Qifan Wang, Dan Zhang, Luo Si
Proceedings of SIGIR 2013
Learning Compact Hashing Codes for Efficient Tag
Completion and Prediction
Qifan Wang, Lingyun Ruan, Zhiwei Zhang, Luo Si
Proceedings of CIKM 2013
Weighted Hashing for Fast Large Scale Similarity Search
Qifan Wang, Dan Zhang, Luo Si
Proceedings of CIKM 2013
Year before 2012
A Discriminative Data-Dependent Mixture-Model
Approach for Multiple Instance Learning in Image Classification
Qifan Wang, Luo Si, Dan Zhang
Proceedings of ECCV 2012
A Robust One-Class Bayesian Approach for Masquerade
Detection
Qifan Wang, Luo Si
Proceedings of the 4th ACM Workshop on CCS 2011
Query Expansion and Message-passing Algorithms for TREC Microblog Track
Dzung Hong, Qifan Wang, Dan Zhang, Luo Si
TREC 2011
A Globally Optimal Approach for 3D Elastic Motion
Estimation from Stereo Sequences
Qifan Wang, Linmi Tao, and Huijun Di
Proceedings of ECCV 2010
Markov Random Field in Visual Information Processing
Linmi Tao, Qifan Wang, Huijun Di
Journal of Image and Graphics 2009