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ORCIDQifan Wang 0001
Person information
- affiliation: Meta AI, Menlo Park, CA, USA
- affiliation (former): Facebook, Menlo Park, CA, USA
- affiliation (former, PhD 2015): Purdue University, West Lafayette, IN, USA
Other persons with the same name
- Qifan Wang (aka: Qi-Fan Wang) — disambiguation page
- Qifan Wang 0002
![[0009-0007-6920-2443]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0009-0007-6920-2443")
— Northwest A&F University (NWAFU), College of Mechanical and Electronic Engineering, Yangling, China (and 1 more) - Qifan Wang 0003 — University of Auckland, Department of Computer Science, Auckland, New Zealand
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2020 – today
- 2025
[j23]Zhiyuan Peng, Xuyang Wu, Qifan Wang, Yi Fang:
Soft prompt tuning for augmenting dense retrieval with large language models. Knowl. Based Syst. 309: 112758 (2025)- [j22]Dun Zeng, Xiangjing Hu, Shiyu Liu, Yue Yu, Qifan Wang, Zenglin Xu:
StoCFL: A stochastically clustered federated learning framework for Non-IID data with dynamic client participation. Neural Networks 187: 107278 (2025) - [j21]Yang Zhang, Fuli Feng, Jizhi Zhang, Keqin Bao, Qifan Wang, Xiangnan He:
CoLLM: Integrating Collaborative Embeddings Into Large Language Models for Recommendation. IEEE Trans. Knowl. Data Eng. 37(5): 2329-2340 (2025) - [j20]Dun Zeng, Zenglin Xu, Yu Pan, Xu Luo, Qifan Wang, Xiaoying Tang:
Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance. Trans. Mach. Learn. Res. 2025 (2025) - [j19]Zheshun Wu, Zenglin Xu, Dun Zeng, Qifan Wang, Jie Liu:
Advocating for the Silent: Enhancing Federated Generalization for Nonparticipating Clients. IEEE Trans. Neural Networks Learn. Syst. 36(8): 14174-14188 (2025) - [j18]Yang Zhang, Zhiyu Hu, Yimeng Bai, Jiancan Wu, Qifan Wang, Fuli Feng:
Recommendation Unlearning via Influence Function. Trans. Recomm. Syst. 3(2): 22:1-22:23 (2025) - [c129]Boyi Deng, Wenjie Wang, Fengbin Zhu, Qifan Wang, Fuli Feng:
CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG. AAAI 2025: 23760-23768 - [c128]Huaizhi Ge, Yiming Li, Qifan Wang, Yongfeng Zhang, Ruixiang Tang:
When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations. ACL (1) 2025: 2278-2296 - [c127]Shihao Cai, Chongming Gao, Yang Zhang, Wentao Shi, Jizhi Zhang, Keqin Bao, Qifan Wang, Fuli Feng:
K-order Ranking Preference Optimization for Large Language Models. ACL (Findings) 2025: 4844-4859 - [c126]Wang Yang, Hongye Jin, Shaochen Zhong, Song Jiang, Qifan Wang, Vipin Chaudhary, Xiaotian Han:
100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? ACL (Findings) 2025: 17560-17576 - [c125]Barry Menglong Yao, Qifan Wang, Lifu Huang:
Error-driven Data-efficient Large Multimodal Model Tuning. ACL (1) 2025: 20289-20306 - [c124]Dun Zeng, Zenglin Xu, Shiyu Liu, Yu Pan, Qifan Wang, Xiaoying Tang:
On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond. AISTATS 2025: 1081-1089 - [c123]Qingcheng Zeng, Mingyu Jin, Qinkai Yu, Zhenting Wang, Wenyue Hua, Guangyan Sun, Yanda Meng, Shiqing Ma, Qifan Wang, Felix Juefei-Xu, Fan Yang, Kaize Ding, Ruixiang Tang, Yongfeng Zhang:
Uncertainty Quantification for Multiple-Choice Questions is Just One-Token Deep. CIKM 2025: 5474-5478 - [c122]Yiyang Liu, James Chenhao Liang, Ruixiang Tang, Yugyung Lee, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Lifu Huang, Dongfang Liu, Qifan Wang, Cheng Han:
Re-Imagining Multimodal Instruction Tuning: A Representation View. ICLR 2025 - [c121]Yu Pan, Chaozheng Wang, Zekai Wu, Qifan Wang, Min Zhang, Zenglin Xu:
IDInit: A Universal and Stable Initialization Method for Neural Network Training. ICLR 2025 - [c120]Shiping Gao, Fanqi Wan, Jiajian Guo, Xiaojun Quan, Qifan Wang:
Advantage-Guided Distillation for Preference Alignment in Small Language Models. ICLR 2025 - [c119]Guangyan Sun, Mingyu Jin, Zhenting Wang, Cheng-Long Wang, Siqi Ma, Qifan Wang, Tong Geng, Ying Nian Wu, Yongfeng Zhang, Dongfang Liu:
Visual Agents as Fast and Slow Thinkers. ICLR 2025 - [c118]Zhiyang Xu, Minqian Liu, Ying Shen, Joy Rimchala, Jiaxin Zhang, Qifan Wang, Yu Cheng, Lifu Huang:
Modality-Specialized Synergizers for Interleaved Vision-Language Generalists. ICLR 2025 - [c117]Jinming Nian, Zhiyuan Peng, Qifan Wang, Yi Fang:
W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering. ICTIR 2025: 136-146 - [c116]Jiang Zhang, Sumit Kumar, Wei Chang, Yubo Wang, Feng Zhang, Weize Mao, Hanchao Yu, Aashu Singh, Min Li, Qifan Wang:
Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation. KDD (2) 2025: 5194-5204 - [c115]Sanwoo Lee, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Yunfang Wu:
Dynamic Fisher-weighted Model Merging via Bayesian Optimization. NAACL (Long Papers) 2025: 4923-4935 - [c114]Xinyu Lin, Haihan Shi, Wenjie Wang, Fuli Feng, Qifan Wang, See-Kiong Ng, Tat-Seng Chua:
Order-agnostic Identifier for Large Language Model-based Generative Recommendation. SIGIR 2025: 1923-1933 - [c113]Shihao Cai, Jizhi Zhang, Keqin Bao, Chongming Gao, Qifan Wang, Fuli Feng, Xiangnan He:
Agentic Feedback Loop Modeling Improves Recommendation and User Simulation. SIGIR 2025: 2235-2244 - [i124]Yi Fang, Wenjie Wang, Yang Zhang, Fengbin Zhu, Qifan Wang, Fuli Feng, Xiangnan He:
Reason4Rec: Large Language Models for Recommendation with Deliberative User Preference Alignment. CoRR abs/2502.02061 (2025) - [i123]Tao Yang, Yuhua Zhu, Xiaojun Quan, Cong Liu, Qifan Wang:
PsyPlay: Personality-Infused Role-Playing Conversational Agents. CoRR abs/2502.03821 (2025) - [i122]Xinyu Lin, Haihan Shi, Wenjie Wang, Fuli Feng, Qifan Wang, See-Kiong Ng, Tat-Seng Chua:
Order-agnostic Identifier for Large Language Model-based Generative Recommendation. CoRR abs/2502.10833 (2025) - [i121]Mohsen Hariri, Lam Nguyen, Sixu Chen, Shaochen Zhong, Qifan Wang, Xia Ben Hu, Xiaotian Han, Vipin Chaudhary:
More for Keys, Less for Values: Adaptive KV Cache Quantization. CoRR abs/2502.15075 (2025) - [i120]Shiping Gao, Fanqi Wan, Jiajian Guo, Xiaojun Quan, Qifan Wang:
Advantage-Guided Distillation for Preference Alignment in Small Language Models. CoRR abs/2502.17927 (2025) - [i119]Yiyang Liu, James Chenhao Liang, Ruixiang Tang, Yugyung Lee, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Lifu Huang, Dongfang Liu, Qifan Wang, Cheng Han:
Re-Imagining Multimodal Instruction Tuning: A Representation View. CoRR abs/2503.00723 (2025) - [i118]Allen Lin, Renqin Cai, Yun He, Hanchao Yu, Jing Qian, Rui Li, Qifan Wang, James Caverlee:
Towards An Efficient LLM Training Paradigm for CTR Prediction. CoRR abs/2503.01001 (2025) - [i117]Che Liu, Yingji Zhang, Dong Zhang, Weijie Zhang, Chenggong Gong, Haohan Li, Yu Lu, Shilin Zhou, Yue Lu, Ziliang Gan, Ziao Wang, Junwei Liao, Haipang Wu, Ji Liu, André Freitas, Qifan Wang, Zenglin Xu, Rongjunchen Zhang, Yong Dai:
Nexus-O: An Omni-Perceptive And -Interactive Model for Language, Audio, And Vision. CoRR abs/2503.01879 (2025) - [i116]Xi Zhu, Haochen Xue, Ziwei Zhao, Wujiang Xu, Jingyuan Huang, Minghao Guo, Qifan Wang, Kaixiong Zhou, Yongfeng Zhang:
LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models. CoRR abs/2503.03313 (2025) - [i115]Yu Pan, Chaozheng Wang, Zekai Wu, Qifan Wang, Min Zhang, Zenglin Xu:
IDInit: A Universal and Stable Initialization Method for Neural Network Training. CoRR abs/2503.04626 (2025) - [i114]Sanwoo Lee, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Yunfang Wu:
Dynamic Fisher-weighted Model Merging via Bayesian Optimization. CoRR abs/2504.18992 (2025) - [i113]Phat Thanh Dang, Saahil Thoppay, Wang Yang, Qifan Wang, Vipin Chaudhary, Xiaotian Han:
SELF: Self-Extend the Context Length With Logistic Growth Function. CoRR abs/2505.17296 (2025) - [i112]Zhuo Liu, Moxin Li, Xun Deng, Qifan Wang, Fuli Feng:
Assistant-Guided Mitigation of Teacher Preference Bias in LLM-as-a-Judge. CoRR abs/2505.19176 (2025) - [i111]Wang Yang, Hongye Jin, Shaochen Zhong, Song Jiang, Qifan Wang, Vipin Chaudhary, Xiaotian Han:
100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? CoRR abs/2505.19293 (2025) - [i110]Shihao Cai, Chongming Gao, Yang Zhang, Wentao Shi, Jizhi Zhang, Keqin Bao, Qifan Wang, Fuli Feng:
K-order Ranking Preference Optimization for Large Language Models. CoRR abs/2506.00441 (2025) - [i109]Jiang Zhang, Sumit Kumar, Wei Chang, Yubo Wang, Feng Zhang, Weize Mao, Hanchao Yu, Aashu Singh, Min Li, Qifan Wang:
Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation. CoRR abs/2506.06239 (2025) - [i108]Jingyuan Qi, Zhiyang Xu, Qifan Wang, Lifu Huang:
AR-RAG: Autoregressive Retrieval Augmentation for Image Generation. CoRR abs/2506.06962 (2025) - [i107]Jiaxiang Chen, Zhuo Wang, Mingxi Zou, Qifan Wang, Zenglin Xu:
Guideline Forest: Experience-Induced Multi-Guideline Reasoning with Stepwise Aggregation. CoRR abs/2506.07820 (2025) - [i106]Jiaxiang Chen, Mingxi Zou, Zhuo Wang, Qifan Wang, Dongning Sun, Chi Zhang, Zenglin Xu:
FinHEAR: Human Expertise and Adaptive Risk-Aware Temporal Reasoning for Financial Decision-Making. CoRR abs/2506.09080 (2025) - [i105]Zhiyang Xu, Jiuhai Chen, Zhaojiang Lin, Xichen Pan, Lifu Huang, Tianyi Zhou, Madian Khabsa, Qifan Wang, Di Jin, Michihiro Yasunaga, Lili Yu, Xi Victoria Lin, Shaoliang Nie:
Pisces: An Auto-regressive Foundation Model for Image Understanding and Generation. CoRR abs/2506.10395 (2025) - [i104]Amit Jaspal, Feng Zhang, Wei Chang, Sumit Kumar, Yubo Wang, Roni Mittleman, Qifan Wang, Weize Mao:
Balancing Semantic Relevance and Engagement in Related Video Recommendations. CoRR abs/2507.09403 (2025) - [i103]Runjia Zeng, Guangyan Sun, Qifan Wang, Tong Geng, Sohail A. Dianat, Xiaotian Han, Raghuveer Rao, Xueling Zhang, Cheng Han, Lifu Huang, Dongfang Liu:
MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper. CoRR abs/2509.00996 (2025) - [i102]Mohammad Beigi, Ying Shen, Parshin Shojaee, Qifan Wang, Zichao Wang, Chandan K. Reddy, Ming Jin, Lifu Huang:
Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories. CoRR abs/2509.16742 (2025) - [i101]Runjia Zeng, James Chenhao Liang, Cheng Han, Zhiwen Cao, Jiahao Liu, Xiaojun Quan, Yingjie Victor Chen, Lifu Huang, Tong Geng, Qifan Wang, Dongfang Liu:
Probabilistic Token Alignment for Large Language Model Fusion. CoRR abs/2509.17276 (2025) - [i100]Zeru Shi, Yingjia Wan, Zhenting Wang, Qifan Wang, Fan Yang, Elisa Kreiss, Ruixiang Tang:
Meaningless Tokens, Meaningful Gains: How Activation Shifts Enhance LLM Reasoning. CoRR abs/2510.01032 (2025) - [i99]Shouren Wang, Wang Yang, Xianxuan Long, Qifan Wang, Vipin Chaudhary, Xiaotian Han:
Demystifying Hybrid Thinking: Can LLMs Truly Switch Between Think and No-Think? CoRR abs/2510.12680 (2025) - [i98]Yiyang Liu, James Chenhao Liang, Heng Fan, Wenhao Yang, Yiming Cui, Xiaotian Han, Lifu Huang, Dongfang Liu, Qifan Wang, Cheng Han:
All You Need is One: Capsule Prompt Tuning with a Single Vector. CoRR abs/2510.16670 (2025) - [i97]Yi Zhang, Che Liu, Xiancong Ren, Hanchu Ni, Yingji Zhang, Shuai Zhang, Zeyuan Ding, Jiayu Hu, Haozhe Shan, Junbo Qi, Yan Bai, Dengjie Li, Jiachen Luo, Yidong Wang, Yong Dai, Zenglin Xu, Bin Shen, Qifan Wang, Jian Tang, Xiaozhu Ju:
Bridging VLMs and Embodied Intelligence with Deliberate Practice Policy Optimization. CoRR abs/2511.16602 (2025) - 2024
- [j17]Zhiyuan Cheng, Cheng Han, James Liang, Qifan Wang, Xiangyu Zhang, Dongfang Liu:
Self-Supervised Adversarial Training of Monocular Depth Estimation Against Physical-World Attacks. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9084-9101 (2024) - [j16]Yawen Lu, Cheng Han, Qifan Wang, Heng Fan, Zhaodan Kong, Dongfang Liu, Yingjie Victor Chen:
Optical Flow as Spatial-Temporal Attention Learners. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11491-11506 (2024) - [j15]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) - [j14]Ying Mo, Jiahao Liu, Hongyin Tang, Qifan Wang, Zenglin Xu, Jingang Wang, Xiaojun Quan, Wei Wu, Zhoujun Li:
Multi-Task Multi-Attention Transformer for Generative Named Entity Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4171-4183 (2024) - [j13]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. Trans. Mach. Learn. Res. 2024 (2024) - [c112]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 - [c111]Ying Shen, Zhiyang Xu, Qifan Wang, Yu Cheng, Wenpeng Yin, Lifu Huang:
Multimodal Instruction Tuning with Conditional Mixture of LoRA. ACL (1) 2024: 637-648 - [c110]Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai:
Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism. ACL (Findings) 2024: 3027-3043 - [c109]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. ACL (1) 2024: 13755-13772 - [c108]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. ACL (Findings) 2024: 15271-15342 - [c107]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 - [c106]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. CVPR 2024: 14076-14088 - [c105]Yawen Lu, Dongfang Liu, Qifan Wang, Cheng Han, Yiming Cui, Zhiwen Cao, Xueling Zhang, Yingjie Victor Chen, Heng Fan:
ProMotion: Prototypes as Motion Learners. CVPR 2024: 28109-28119 - [c104]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 - [c103]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 - [c102]Liqi Yan, Qifan Wang, Junhan Zhao, Qiang Guan, Zheng Tang, Jianhui Zhang, Dongfang Liu:
Radiance Field Learners As UAV First-Person Viewers. ECCV (61) 2024: 88-107 - [c101]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. ECCV (65) 2024: 431-450 - [c100]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. EMNLP (Findings) 2024: 1491-1505 - [c99]Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng:
Direct Multi-Turn Preference Optimization for Language Agents. EMNLP 2024: 2312-2324 - [c98]Taowen Wang, Yiyang Liu, James Liang, Junhan Zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu:
M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning. EMNLP 2024: 3723-3740 - [c97]Ying Mo, Jiahao Liu, Jian Yang, Qifan Wang, Shun Zhang, Jingang Wang, Zhoujun Li:
C-ICL: Contrastive In-context Learning for Information Extraction. EMNLP (Findings) 2024: 10099-10114 - [c96]Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua:
Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection. EMNLP (Findings) 2024: 11858-11875 - [c95]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. EMNLP (Findings) 2024: 12847-12865 - [c94]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 - [c93]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 - [c92]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 - [c91]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 - [c90]Cheng Han, Yawen Lu, Guohao Sun, James Chenhao Liang, Zhiwen Cao, Qifan Wang, Qiang Guan, Sohail A. Dianat, Raghuveer Rao, Tong Geng, Zhiqiang Tao, Dongfang Liu:
Prototypical Transformer As Unified Motion Learners. ICML 2024 - [c89]Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun:
A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (Extended Abstract). IJCAI 2024: 8421-8426 - [c88]Fan Yao, Yiming Liao, Mingzhe Wu, Chuanhao Li, Yan Zhu, James Yang, Jingzhou Liu, Qifan Wang, Haifeng Xu, Hongning Wang:
User Welfare Optimization in Recommender Systems with Competing Content Creators. KDD 2024: 3874-3885 - [c87]Hanjia Lyu, Song Jiang, Hanqing Zeng, Yinglong Xia, Qifan Wang, Si Zhang, Ren Chen, Christopher Leung, Jiajie Tang, Jiebo Luo:
LLM-Rec: Personalized Recommendation via Prompting Large Language Models. NAACL-HLT (Findings) 2024: 583-612 - [c86]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. NAACL-HLT 2024: 1927-1937 - [c85]Chi Han, Qifan Wang, Hao Peng, Wenhan Xiong, Yu Chen, Heng Ji, Sinong Wang:
LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models. NAACL-HLT 2024: 3991-4008 - [c84]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. NAACL-HLT 2024: 5784-5809 - [c83]Fan Yao, Yiming Liao, Jingzhou Liu, Shaoliang Nie, Qifan Wang, Haifeng Xu, Hongning Wang:
Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms. NeurIPS 2024 - [c82]Runjia Zeng, Cheng Han, Qifan Wang, Chunshu Wu, Tong Geng, Lifu Huang, Ying Nian Wu, Dongfang Liu:
Visual Fourier Prompt Tuning. NeurIPS 2024 - [c81]Yuchen Zhuang, Haotian Sun, Yue Yu, Rushi Qiang, Qifan Wang, Chao Zhang, Bo Dai:
HYDRA: Model Factorization Framework for Black-Box LLM Personalization. NeurIPS 2024 - [c80]Pengfei Wu, Jiahao Liu, Zhuocheng Gong, Qifan Wang, Jinpeng Li, Jingang Wang, Xunliang Cai, Dongyan Zhao:
FIRP: Faster LLM Inference via Future Intermediate Representation Prediction. NLPCC (3) 2024: 158-169 - [c79]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 - [i96]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) - [i95]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) - [i94]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) - [i93]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) - [i92]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) - [i91]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) - [i90]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) - [i89]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) - [i88]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) - [i87]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) - [i86]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) - [i85]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) - [i84]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) - [i83]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) - [i82]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) - [i81]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) - [i80]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) - [i79]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) - [i78]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) - [i77]Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng:
Direct Multi-Turn Preference Optimization for Language Agents. CoRR abs/2406.14868 (2024) - [i76]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) - [i75]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) - [i74]Mingkai Chen, Taowen Wang, James Chenhao Liang, Chuan Liu, Chunshu Wu, Qifan Wang, Ying Nian Wu, Michael Huang, Chuang Ren, Ang Li, Tong Geng, Dongfang Liu:
Inertial Confinement Fusion Forecasting via LLMs. CoRR abs/2407.11098 (2024) - [i73]Qingcheng Zeng, Mingyu Jin, Qinkai Yu, Zhenting Wang, Wenyue Hua, Zihao Zhou, Guangyan Sun, Yanda Meng, Shiqing Ma, Qifan Wang, Felix Juefei-Xu, Kaize Ding, Fan Yang, Ruixiang Tang, Yongfeng Zhang:
Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models. CoRR abs/2407.11282 (2024) - [i72]Liqi Yan, Qifan Wang, Junhan Zhao, Qiang Guan, Zheng Tang, Jianhui Zhang, Dongfang Liu:
Radiance Field Learners As UAV First-Person Viewers. CoRR abs/2408.05533 (2024) - [i71]Jinming Nian, Zhiyuan Peng, Qifan Wang, Yi Fang:
W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering. CoRR abs/2408.08444 (2024) - [i70]Guangyan Sun, Mingyu Jin, Zhenting Wang, Cheng-Long Wang, Siqi Ma, Qifan Wang, Ying Nian Wu, Yongfeng Zhang, Dongfang Liu:
Visual Agents as Fast and Slow Thinkers. CoRR abs/2408.08862 (2024) - [i69]Yijia Xiao, Edward Sun, Yiqiao Jin, Qifan Wang, Wei Wang:
ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding. CoRR abs/2408.11363 (2024) - [i68]Taowen Wang, Yiyang Liu, James Chenhao Liang, Junhan Zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu:
M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning. CoRR abs/2409.15657 (2024) - [i67]Haibo Wang, Zhiyang Xu, Yu Cheng, Shizhe Diao, Yufan Zhou, Yixin Cao, Qifan Wang, Weifeng Ge, Lifu Huang:
Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models. CoRR abs/2410.03290 (2024) - [i66]Jingyuan Qi, Zhiyang Xu, Rulin Shao, Yang Chen, Di Jin, Yu Cheng, Qifan Wang, Lifu Huang:
RoRA-VLM: Robust Retrieval-Augmented Vision Language Models. CoRR abs/2410.08876 (2024) - [i65]Pengfei Wu, Jiahao Liu, Zhuocheng Gong, Qifan Wang, Jinpeng Li, Jingang Wang, Xunliang Cai, Dongyan Zhao:
FIRP: Faster LLM inference via future intermediate representation prediction. CoRR abs/2410.20488 (2024) - [i64]Fan Yao, Yiming Liao, Jingzhou Liu, Shaoliang Nie, Qifan Wang, Haifeng Xu, Hongning Wang:
Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms. CoRR abs/2410.23683 (2024) - [i63]Runjia Zeng, Cheng Han, Qifan Wang, Chunshu Wu, Tong Geng, Lifu Huang, Ying Nian Wu, Dongfang Liu:
Visual Fourier Prompt Tuning. CoRR abs/2411.01327 (2024) - [i62]Huaizhi Ge, Yiming Li, Qifan Wang, Yongfeng Zhang, Ruixiang Tang:
When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations. CoRR abs/2411.12701 (2024) - [i61]Taowen Wang, Dongfang Liu, James Chenhao Liang, Wenhao Yang, Qifan Wang, Cheng Han, Jiebo Luo, Ruixiang Tang:
Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics. CoRR abs/2411.13587 (2024) - [i60]Xiaohui Chen, Satya Narayan Shukla, Mahmoud Azab, Aashu Singh, Qifan Wang, David Yang, ShengYun Peng, Hanchao Yu, Shen Yan, Xuewen Zhang, Baosheng He:
CompCap: Improving Multimodal Large Language Models with Composite Captions. CoRR abs/2412.05243 (2024) - [i59]Barry Menglong Yao, Qifan Wang, Lifu Huang:
Error-driven Data-efficient Large Multimodal Model Tuning. CoRR abs/2412.15652 (2024) - 2023
- [j12]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) - [j11]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) - [j10]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) - [j9]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) - [j8]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) - [j7]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) - [j6]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) - [c78]Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang:
Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection. AAAI 2023: 13896-13904 - [c77]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 - [c76]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 - [c75]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 - [c74]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 - [c73]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 - [c72]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 - [c71]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 - [c70]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 - [c69]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 - [c68]Zihong Liang, Xiaojun Quan, Qifan Wang:
Disentangled Phonetic Representation for Chinese Spelling Correction. ACL (1) 2023: 13509-13521 - [c67]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 - [c66]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 - [c65]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 - [c64]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 - [c63]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 - [c62]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 - [c61]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 - [c60]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 - [c59]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 - [c58]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 - [c57]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 - [c56]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 - [c55]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 - [c54]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 - [c53]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 - [c52]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 - [c51]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 - [c50]James Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu:
ClusterFomer: Clustering As A Universal Visual Learner. NeurIPS 2023 - [c49]Zheyun Qin, Cheng Han, Qifan Wang, Xiushan Nie, Yilong Yin, Xiankai Lu:
Unified 3D Segmenter As Prototypical Classifiers. NeurIPS 2023 - [c48]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 - [c47]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 - [c46]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 - [c45]Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun:
A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings. WWW 2023: 2467-2476 - [i58]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) - [i57]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) - [i56]Dun Zeng, Xiangjing Hu, Shiyu Liu, Yue Yu, Qifan Wang, Zenglin Xu:
Stochastic Clustered Federated Learning. CoRR abs/2303.00897 (2023) - [i55]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) - [i54]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) - [i53]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) - [i52]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) - [i51]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) - [i50]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) - [i49]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) - [i48]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) - [i47]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) - [i46]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) - [i45]Zihong Liang, Xiaojun Quan, Qifan Wang:
Disentangled Phonetic Representation for Chinese Spelling Correction. CoRR abs/2305.14783 (2023) - [i44]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) - [i43]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) - [i42]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) - [i41]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) - [i40]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) - [i39]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) - [i38]Yang Zhang, Zhiyu Hu, Yimeng Bai, Fuli Feng, Jiancan Wu, Qifan Wang, Xiangnan He:
Recommendation Unlearning via Influence Function. CoRR abs/2307.02147 (2023) - [i37]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) - [i36]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) - [i35]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) - [i34]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) - [i33]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) - [i32]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) - [i31]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) - [i30]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) - [i29]Zheshun Wu, Zenglin Xu, Dun Zeng, Qifan Wang:
Federated Generalization via Information-Theoretic Distribution Diversification. CoRR abs/2310.07171 (2023) - [i28]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) - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]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) - [i22]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) - [i21]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) - [i20]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
- [j5]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) - [j4]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) - [c44]Guanhuan Huang, Xiaojun Quan, Qifan Wang:
Autoregressive Entity Generation for End-to-End Task-Oriented Dialog. COLING 2022: 323-332 - [c43]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 - [c42]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 - [c41]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 - [c40]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 - [c39]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 - [c38]Zhuo Zhang, Xiangjing Hu, Lizhen Qu, Qifan Wang, Zenglin Xu:
Federated Model Decomposition with Private Vocabulary for Text Classification. EMNLP 2022: 6413-6425 - [c37]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 - [c36]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 - [c35]Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang, Shaoliang Nie:
AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning. NeurIPS 2022 - [c34]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 - [c33]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 - [c32]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 - [i19]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) - [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
- [c31]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 - [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
- [c30]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 - [c29]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 - [c28]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 - [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)
2010 – 2019
- 2019
- [c27]Qifan Wang, Bhargav Kanagal, Vijay Garg, D. Sivakumar:
Constructing a Comprehensive Events Database from the Web. CIKM 2019: 229-238 - 2017
- [c26]Qifan Wang, Gal Chechik, Chen Sun, Bin Shen:
Instance-Level Label Propagation with Multi-Instance Learning. IJCAI 2017: 2943-2949 - 2016
- [j3]Bin Shen, Bao-Di Liu, Qifan Wang:
Elastic net regularized dictionary learning for image classification. Multim. Tools Appl. 75(15): 8861-8874 (2016) - [j2]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) - [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
- [b1]Qifan Wang:
Learning compact hashing codes with complex objectives from multiple sources for large scale similarity search. Purdue University, USA, 2015 - [j1]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) - [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
Coauthor Index
James Liang
aka: James Chenhao Liang
aka: James Chenhao Liang
[c122] [c119] [i119] [i103] [i101] [i98] [j17] [j16] [c105] [c102] [c101] [c100] [c98] [c92] [c91] [c90] [c82] [i96] [i95] [i85] [i82] [i81] [i80] [i75] [i74] [i72] [i70] [i68] [i63] [i61] [c76] [c69] [c65] [c56] [c52] [c51] [c50] [i52] [i37] [i34] [j4] [c42] [c41] [c36] [c33] [c32] [i19] [i18] [i17] [i15]
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