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2020 – today
- 2025
[j26]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)- 2024
- [j25]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) - [j24]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) - [j23]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) - [j22]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) - [c124]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 - [c123]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 - [c122]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 - [c121]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 - [c120]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 - [c119]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 - [c118]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 - [c117]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 - [c116]Qifan Wang:
Research on the Development Status of the Combination of Biology, Chemistry, Geology and Artificial Intelligence. DSAI 2024: 468-473 - [c115]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 - [c114]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 - [c113]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 - [c112]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 - [c111]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 - [c110]Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng:
Direct Multi-Turn Preference Optimization for Language Agents. EMNLP 2024: 2312-2324 - [c109]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 - [c108]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 - [c107]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 - [c106]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 - [c105]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 - [c104]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 - [c103]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 - [c102]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 - [c101]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 - [c100]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 - [c99]Jinghuai Jie, Qifan Wang, Junmin Wu, Yan Guo, Baojian Hua:
Efficient Transformer-based Edge Detector. IJCNN 2024: 1-7 - [c98]Wanting Wang, Xuan Li, Qifan Wang, Wen Jiang, Hui Zhao, Tianqing Zhou:
A Clustering Algorithm for Connectivity in Cognitive Vehicular Network with Digital Twin. IoTML 2024: 60-64 - [c97]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 - [c96]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 - [c95]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 - [c94]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 - [c93]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 - [c92]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 - [c91]Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng:
Large Language Models are Learnable Planners for Long-Term Recommendation. SIGIR 2024: 1893-1903 - [i100]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) - [i99]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) - [i98]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) - [i97]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) - [i96]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) - [i95]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) - [i94]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) - [i93]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) - [i92]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) - [i91]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) - [i90]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) - [i89]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) - [i88]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) - [i87]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) - [i86]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) - [i85]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) - [i84]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) - [i83]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) - [i82]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) - [i81]Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng:
Direct Multi-Turn Preference Optimization for Language Agents. CoRR abs/2406.14868 (2024) - [i80]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) - [i79]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) - [i78]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) - [i77]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) - [i76]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) - [i75]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) - [i74]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) - [i73]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) - [i72]Qifan Wang, David Oswald:
Confidential Computing on Heterogeneous Systems: Survey and Implications. CoRR abs/2408.11601 (2024) - [i71]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) - [i70]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) - [i69]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) - [i68]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) - [i67]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) - [i66]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) - [i65]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) - [i64]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) - [i63]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) - 2023
- [j21]Zeyu Yang, Jizhi Zhang, Fuli Feng, Chongming Gao, Qifan Wang, Xiangnan He:
Interactive active learning for fairness with partial group label. AI Open 4: 175-182 (2023) - [j20]Qifan Wang, Lei Zhou, Jianli Bai, Yun Sing Koh, Shujie Cui, Giovanni Russello:
HT2ML: An efficient hybrid framework for privacy-preserving Machine Learning using HE and TEE. Comput. Secur. 135: 103509 (2023) - [j19]Chuang Cai, Qifan Wang, Weiwei Cai, Yixin Yang, Yahui Hu, Liujun Li, Yanfeng Wang, Guoxiong Zhou:
Identification of grape leaf diseases based on VN-BWT and Siamese DWOAM-DRNet. Eng. Appl. Artif. Intell. 123(Part B): 106341 (2023) - [j18]Qifan Wang, Aibin Chen, Yongfei Xue:
Liver CT Image Recognition Method Based on Capsule Network. Inf. 14(3): 183 (2023) - [j17]Lirong He, Qingzhong Ai, Xincheng Yang, Yazhou Ren, Qifan Wang, Zenglin Xu:
Boosting adversarial robustness via self-paced adversarial training. Neural Networks 167: 706-714 (2023) - [j16]Chenxu Wang, Fuli Feng, Yang Zhang, Qifan Wang, Xunhan Hu, Xiangnan He:
Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation. IEEE Trans. Big Data 9(6): 1607-1619 (2023) - [j15]Liqi Yan, Qifan Wang, Siqi Ma, Jingang Wang, Changbin Yu:
Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework With Spatio-Temporal Collaboration. IEEE Trans. Circuits Syst. Video Technol. 33(1): 393-406 (2023) - [j14]Weijian Chen, Fuli Feng, Qifan Wang, Xiangnan He, Chonggang Song, Guohui Ling, Yongdong Zhang:
CatGCN: Graph Convolutional Networks With Categorical Node Features. IEEE Trans. Knowl. Data Eng. 35(4): 3500-3511 (2023) - [j13]Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu:
Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity. Trans. Mach. Learn. Res. 2023 (2023) - [j12]Qifan Wang, Yinwei Wei, Jianhua Yin, Jianlong Wu, Xuemeng Song, Liqiang Nie:
DualGNN: Dual Graph Neural Network for Multimedia Recommendation. IEEE Trans. Multim. 25: 1074-1084 (2023) - [c90]Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang:
Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection. AAAI 2023: 13896-13904 - [c89]Moxin Li, Wenjie Wang, Fuli Feng, Hanwang Zhang, Qifan Wang, Tat-Seng Chua:
Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context. ACL (Findings) 2023: 1220-1236 - [c88]Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu:
MUSTIE: Multimodal Structural Transformer for Web Information Extraction. ACL (1) 2023: 2405-2420 - [c87]Rongyi Sun, Ziran Li, Yifeng Ding, Qifan Wang, Jingang Wang, Haitao Zheng, Wei Wu, Yunsen Xian:
Fusion or Defusion? Flexible Vision-and-Language Pre-Training. ACL (Findings) 2023: 5105-5119 - [c86]Aaron Mueller, Kanika Narang, Lambert Mathias, Qifan Wang, Hamed Firooz:
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning. ACL (Findings) 2023: 6049-6064 - [c85]Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, Xiang Ren:
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales. ACL (1) 2023: 7103-7128 - [c84]Zhuocheng Gong, Jiahao Liu, Qifan Wang, Yang Yang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Rui Yan:
PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models. ACL (Findings) 2023: 8065-8079 - [c83]Siyue Wu, Hongzhan Chen, Xiaojun Quan, Qifan Wang, Rui Wang:
AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression. ACL (1) 2023: 8449-8465 - [c82]Zhuo Zhang, Yuanhang Yang, Yong Dai, Qifan Wang, Yue Yu, Lizhen Qu, Zenglin Xu:
FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models. ACL (Findings) 2023: 9963-9977 - [c81]Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu:
MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction. ACL (Findings) 2023: 9978-9991 - [c80]Zihong Liang, Xiaojun Quan, Qifan Wang:
Disentangled Phonetic Representation for Chinese Spelling Correction. ACL (1) 2023: 13509-13521 - [c79]Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Kai Chen, Rui Yan:
RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank. ACL (1) 2023: 13785-13802 - [c78]Jianli Bai, Xiangfu Song, Xiaowu Zhang, Qifan Wang, Shujie Cui, Ee-Chien Chang, Giovanni Russello:
Mostree: Malicious Secure Private Decision Tree Evaluation with Sublinear Communication. ACSAC 2023: 799-813 - [c77]Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan:
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. CVPR 2023: 12239-12249 - [c76]Yawen Lu, Qifan Wang, Siqi Ma, Tong Geng, Yingjie Victor Chen, Huaijin G. Chen, Dongfang Liu:
TransFlow: Transformer as Flow Learner. CVPR 2023: 18063-18073 - [c75]Harman Singh, Pengchuan Zhang, Qifan Wang, Mengjiao Wang, Wenhan Xiong, Jingfei Du, Yu Chen:
Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality. EMNLP 2023: 869-893 - [c74]Boyi Deng, Wenjie Wang, Fuli Feng, Yang Deng, Qifan Wang, Xiangnan He:
Attack Prompt Generation for Red Teaming and Defending Large Language Models. EMNLP (Findings) 2023: 2176-2189 - [c73]Yuanhang Yang, Shiyi Qi, Chuanyi Liu, Qifan Wang, Cuiyun Gao, Zenglin Xu:
Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling. EMNLP 2023: 2800-2806 - [c72]Tao Yang, Tianyuan Shi, Fanqi Wan, Xiaojun Quan, Qifan Wang, Bingzhe Wu, Jiaxiang Wu:
PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection. EMNLP (Findings) 2023: 3305-3320 - [c71]Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa:
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. EMNLP (Findings) 2023: 3412-3444 - [c70]Jingyuan Qi, Zhiyang Xu, Ying Shen, Minqian Liu, Di Jin, Qifan Wang, Lifu Huang:
The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models. EMNLP 2023: 4177-4199 - [c69]Tianyuan Shi, Liangzhi Li, Zijian Lin, Tao Yang, Xiaojun Quan, Qifan Wang:
Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems. EMNLP 2023: 6566-6580 - [c68]Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Ran Wang, Rui Yan:
Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression. EMNLP (Findings) 2023: 8643-8657 - [c67]