Year of 2024

Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks
Zhiyuan Cheng*, James Liang*, Cheng Han, Qifan Wang, Dongfang Liu, Xiangyu Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2024

User Welfare Optimization in Recommender Systems with Competing Content Creators
Fan Yao, Yiming Liao, Mingzhe Wu, Chuanhao Li, Yan Zhu, James Yang, Jingzhou Liu, Qifan Wang, Haifeng Xu, Hongning Wang
Proceedings of KDD 2024

Multimodal Instruction Tuning with Conditional Mixture of LoRA
Ying Shen, Zhiyang Xu, Qifan Wang, Yu Cheng, Wenpeng Yin, Lifu Huang
Proceedings of ACL 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
Proceedings of ACL 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
Proceedings of ACL 2024

Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism
Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai
Proceedings of ACL 2024

Prototypical Transformer As Unified Motion Learners
Cheng Han, Yawen Lu, Guohao Sun, James Liang, Zhiwen Cao, Qifan Wang, Qiang Guan, Sohail Dianat, Raghuveer Rao, Tong Geng, Zhiqiang Tao, Dongfang Liu
Proceedings of ICML 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

Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding
Zhuo Zhang, Jintao Huang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Yue Yu, Qifan Wang, Lizhen Qu, Zenglin Xu
Proceedings of COLING 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

MixingMask: A Contour-aware Approach for Joint Object Detection and Instance Segmentation
Wenzhe Ouyang, Zenglin Xu, Qianying Zhu, Qifan Wang, Liqiang Nie, Min zhang
Journal of Pattern Recognition 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