Qifan Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
148
Venues
33
Active years
2010–2026
Best venue rank
A*
Where they publish
- A*EMNLP30 papers
- A*ACL23 papers
- A*SIGIR12 papers
- A*ICLR9 papers
- A*AAAI8 papers
- A*ECCV7 papers
- A*IJCAI7 papers
- A*WWW5 papers
- ACIKM5 papers
- ANAACL5 papers
- A*CVPR4 papers
- A*ICCV3 papers
- A*KDD3 papers
- BCOLING3 papers
- AAsiaCCS2 papers
- BIJCNLP2 papers
- BTrustCom2 papers
- AEACL2 papers
- AWSDM2 papers
- A*ASPLOS1 paper
- CISCAS1 paper
- AAISTATS1 paper
- AECAI1 paper
- UnrankedICTIR1 paper
- A*ICML1 paper
- BIJCNN1 paper
- AACSAC1 paper
- MulticonferenceICASSP1 paper
- CICICS1 paper
- CPCS1 paper
- ADSN1 paper
- BICIP1 paper
- A*CCS1 paper
Papers
148 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Chain-of-Search: Parameter-Efficient Reasoning for Zero-Shot Object Navigation. | Hanrui Chen, Liqi Yan, Qifan Wang, Jianhui Zhang, Fangli Guan, Pan Li |
| 2026 | AAAI | PASS: Probabilistic Agentic Supernet Sampling for Interpretable and Adaptive Chest X-Ray Reasoning. | Yushi Feng, Junye Du, Yingying Hong, Qifan Wang, Lequan Yu |
| 2026 | ACL | Quantize What Counts: More for Keys, Less for Values. | Mohsen Hariri, Alan Luo, Weicong Chen, Tianyi Zhang, Qifan Wang, Xiaotian Han, Vipin Chaudhary |
| 2026 | ACL | On-the-Fly VLA Adaptation via Test-Time Reinforcement Learning. | Changyu Liu, Yiyang Liu, Taowen Wang, Qiao Zhuang, James Chenhao Liang, Wenhao Yang, Renjing Xu, Qifan Wang, Dongfang Liu, Cheng Han |
| 2026 | ACL | TROJail: Trajectory-Level Optimization for Multi-Turn Large Language Model Jailbreaks with Process Rewards. | Xiqiao Xiong, Ouxiang Li, Zhuo Liu, Moxin Li, Wentao Shi, Fengbin Zhu, Qifan Wang, Fuli Feng |
| 2026 | AsiaCCS | Untitled record | Qifan Wang, Jonas Sander, Minmin Jiang, Thomas Eisenbarth, David Oswald |
| 2026 | ASPLOS | DFVG: A Heterogeneous Architecture for Speculative Decoding with Draft-on-FPGA and Verify-on-GPU. | Shaoqiang Lu, Yangbo Wei, Junhong Qian, Dongge Qin, Shiji Gao, Yizhi Ding, Qifan Wang, Chen Wu, Xiao Shi, Lei He |
| 2026 | ISCAS | A High-Precision CORDIC Architecture with Reduced-Convergence Preprocessing and Dynamic Logarithmic Bit-Width Scaling. | Zhentao Zheng, Wei Zhang, Jiaqi Ouyang, Qifan Wang, Lei Chen, Fengwei An |
| 2026 | WWW | Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking. | Xinyu Lin, Pengyuan Liu, Wenjie Wang, Yicheng Hu, Chen Xu, Fuli Feng, Qifan Wang, Tat-Seng Chua |
| 2026 | WWW | RecoWorld: Building Simulated Environments for Agentic Recommender Systems. | Fei Liu, Xinyu Lin, Hanchao Yu, Mingyuan Wu, Jianyu Wang, Qiang Zhang, Zhuokai Zhao, Yinglong Xia, Yao Zhang, Weiwei Li, Mingze Gao, Qifan Wang, Lizhu Zhang, Benyu Zhang, Xiangjun Fan |
| 2026 | SIGIR | Verifiable Reasoning for LLM-based Generative Recommendation. | Xinyu Lin, Hanqing Zeng, Hanchao Yu, Yinglong Xia, Jiang Zhang, Aashu Singh, Fei Liu, Wenjie Wang, Fuli Feng, Tat-Seng Chua, Qifan Wang |
| 2025 | AAAI | CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG. | Boyi Deng, Wenjie Wang, Fengbin Zhu, Qifan Wang, Fuli Feng |
| 2025 | ACL | K-order Ranking Preference Optimization for Large Language Models. | Shihao Cai, Chongming Gao, Yang Zhang, Wentao Shi, Jizhi Zhang, Keqin Bao, Qifan Wang, Fuli Feng |
| 2025 | ACL | When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations. | Huaizhi Ge, Yiming Li, Qifan Wang, Yongfeng Zhang, Ruixiang Tang |
| 2025 | ACL | Inference Compute-Optimal Video Vision Language Models. | Peiqi Wang, Shengyun Peng, Xuewen Zhang, Hanchao Yu, Yibo Yang, Lifu Huang, Fujun Liu, Qifan Wang |
| 2025 | ACL | 100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? | Wang Yang, Hongye Jin, Shaochen Zhong, Song Jiang, Qifan Wang, Vipin Chaudhary, Xiaotian Han |
| 2025 | ACL | Error-driven Data-efficient Large Multimodal Model Tuning. | Barry Menglong Yao, Qifan Wang, Lifu Huang |
| 2025 | AISTATS | On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond. | Dun Zeng, Zenglin Xu, Shiyu Liu, Yu Pan, Qifan Wang, Xiaoying Tang |
| 2025 | CIKM | Uncertainty Quantification for Multiple-Choice Questions is Just One-Token Deep. | 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 |
| 2025 | ECAI | STaR: Multi-Granular Spatio-Temporal Reasoning for Long-Form Dense Video Captioning. | Yihao Wu, Chenhuan Cai, Liqi Yan, Huapeng Li, Jianhui Zhang, Jiahao Liu, Qifan Wang, Fangli Guan, Pan Li |
| 2025 | EMNLP | Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories. | Mohammad Beigi, Ying Shen, Parshin Shojaee, Qifan Wang, Zichao Wang, Chandan K. Reddy, Ming Jin, Lifu Huang |
| 2025 | EMNLP | ReAlign: Structured Revision for Small Language Model Alignment. | Ruijun Chen, Jiajian Guo, Hongzhan Chen, Fanqi Wan, Qifan Wang, Xiaojun Quan |
| 2025 | EMNLP | FinHEAR: Human Expertise and Adaptive Risk-Aware Temporal Reasoning for Financial Decision-Making. | Jiaxiang Chen, Mingxi Zou, Zhuo Wang, Qifan Wang, Danny Dongning Sun, Zhang Chi, Zenglin Xu |
| 2025 | EMNLP | TCPO: Thought-Centric Preference Optimization for Effective Embodied Decision-making. | Kechen Jiao, Zhirui Fang, Jiahao Liu, Bei Li, Qifan Wang, Xinyu Liu, Junhao Ruan, Zhongjian Qiao, Yifan Zhu, Yaxin Xu, Jingang Wang, Xiu Li |
| 2025 | EMNLP | Assistant-Guided Mitigation of Teacher Preference Bias in LLM-as-a-Judge. | Zhuo Liu, Moxin Li, Xun Deng, Qifan Wang, Fuli Feng |
| 2025 | EMNLP | Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models. | Haibo Wang, Zhiyang Xu, Yu Cheng, Shizhe Diao, Yufan Zhou, Yixin Cao, Qifan Wang, Weifeng Ge, Lifu Huang |
| 2025 | EMNLP | MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper. | Runjia Zeng, Guangyan Sun, Qifan Wang, Tong Geng, Sohail A. Dianat, Xiaotian Han, Raghuveer Rao, Xueling Zhang, Cheng Han, Lifu Huang, Dongfang Liu |
| 2025 | ICCV | CompCap: Improving Multimodal Large Language Models with Composite Captions. | Xiaohui Chen, Satya Narayan Shukla, Mahmoud Azab, Aashu Singh, Qifan Wang, David Yang, Shengyun Peng, Hanchao Yu, Shen Yan, Xuewen Zhang, Baosheng He |
| 2025 | ICCV | Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics. | Taowen Wang, Cheng Han, James Liang, Wenhao Yang, Dongfang Liu, Luna Xinyu Zhang, Qifan Wang, Jiebo Luo, Ruixiang Tang |
| 2025 | ICLR | Re-Imagining Multimodal Instruction Tuning: A Representation View. | Yiyang Liu, James Chenhao Liang, Ruixiang Tang, Yugyung Lee, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Lifu Huang, Dongfang Liu, Qifan Wang, Cheng Han |
| 2025 | ICLR | IDInit: A Universal and Stable Initialization Method for Neural Network Training. | Yu Pan, Chaozheng Wang, Zekai Wu, Qifan Wang, Min Zhang, Zenglin Xu |
| 2025 | ICLR | Advantage-Guided Distillation for Preference Alignment in Small Language Models. | Shiping Gao, Fanqi Wan, Jiajian Guo, Xiaojun Quan, Qifan Wang |
| 2025 | ICLR | Visual Agents as Fast and Slow Thinkers. | Guangyan Sun, Mingyu Jin, Zhenting Wang, Cheng-Long Wang, Siqi Ma, Qifan Wang, Tong Geng, Ying Nian Wu, Yongfeng Zhang, Dongfang Liu |
| 2025 | ICLR | Modality-Specialized Synergizers for Interleaved Vision-Language Generalists. | Zhiyang Xu, Minqian Liu, Ying Shen, Joy Rimchala, Jiaxin Zhang, Qifan Wang, Yu Cheng, Lifu Huang |
| 2025 | IJCNLP | Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models. | Yingqi Hu, Zhuo Zhang, Jingyuan Zhang, Jinghua Wang, Qifan Wang, Lizhen Qu, Zenglin Xu |
| 2025 | IJCNLP | Item-Language Model: Improving Large Language Model for Recommendation via Item-Language Representation Learning. | Li Yang, Anushya Subbiah, Hardik Patel, Judith Yue Li, Yanwei Song, Reza Mirghaderi, Vikram Aggarwal, Fuli Feng, Zenglin Xu, Dongfang Liu, Qifan Wang |
| 2025 | ICTIR | W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering. | Jinming Nian, Zhiyuan Peng, Qifan Wang, Yi Fang |
| 2025 | KDD | Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation. | Jiang Zhang, Sumit Kumar, Wei Chang, Yubo Wang, Feng Zhang, Weize Mao, Hanchao Yu, Aashu Singh, Min Li, Qifan Wang |
| 2025 | NAACL | Dynamic Fisher-weighted Model Merging via Bayesian Optimization. | Sanwoo Lee, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Yunfang Wu |
| 2025 | SIGIR | Order-agnostic Identifier for Large Language Model-based Generative Recommendation. | Xinyu Lin, Haihan Shi, Wenjie Wang, Fuli Feng, Qifan Wang, See-Kiong Ng, Tat-Seng Chua |
| 2025 | SIGIR | Agentic Feedback Loop Modeling Improves Recommendation and User Simulation. | Shihao Cai, Jizhi Zhang, Keqin Bao, Chongming Gao, Qifan Wang, Fuli Feng, Xiangnan He |
| 2025 | TrustCom | FaultSpy: On the Insecurity of SPDM Protocols under Fault Injection. | Peiyao Sun, Qifan Wang, David F. Oswald, Mark Dermot Ryan, Vladimiro Sassone, Ahmad Atamli |
| 2024 | AAAI | 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 |
| 2024 | ACL | 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 |
| 2024 | ACL | Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism. | Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai |
| 2024 | ACL | Multimodal Instruction Tuning with Conditional Mixture of LoRA. | Ying Shen, Zhiyang Xu, Qifan Wang, Yu Cheng, Wenpeng Yin, Lifu Huang |
| 2024 | ACL | 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 |
| 2024 | COLING | 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 |
| 2024 | CVPR | ProMotion: Prototypes as Motion Learners. | Yawen Lu, Dongfang Liu, Qifan Wang, Cheng Han, Yiming Cui, Zhiwen Cao, Xueling Zhang, Yingjie Victor Chen, Heng Fan |
| 2024 | CVPR | 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 |
| 2024 | EACL | 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 |
| 2024 | EACL | Minimal Distillation Schedule for Extreme Language Model Compression. | Chen Zhang, Yang Yang, Qifan Wang, Jiahao Liu, Jingang Wang, Wei Wu, Dawei Song |
| 2024 | ECCV | AMD: Automatic Multi-step Distillation of Large-Scale Vision Models. | Cheng Han, Qifan Wang, Sohail A. Dianat, Majid Rabbani, Raghuveer M. Rao, Yi Fang, Qiang Guan, Lifu Huang, Dongfang Liu |
| 2024 | ECCV | Radiance Field Learners As UAV First-Person Viewers. | Liqi Yan, Qifan Wang, Junhan Zhao, Qiang Guan, Zheng Tang, Jianhui Zhang, Dongfang Liu |
| 2024 | EMNLP | InternalInspector I²: Robust Confidence Estimation in LLMs through Internal States. | Mohammad Beigi, Ying Shen, Runing Yang, Zihao Lin, Qifan Wang, Ankith Mohan, Jianfeng He, Ming Jin, Chang-Tien Lu, Lifu Huang |
| 2024 | EMNLP | Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection. | Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua |
| 2024 | EMNLP | C-ICL: Contrastive In-context Learning for Information Extraction. | Ying Mo, Jiahao Liu, Jian Yang, Qifan Wang, Shun Zhang, Jingang Wang, Zhoujun Li |
| 2024 | EMNLP | Direct Multi-Turn Preference Optimization for Language Agents. | Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng |
| 2024 | EMNLP | M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning. | 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 |
| 2024 | EMNLP | EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction. | Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu |
| 2024 | ICLR | Representation Deficiency in Masked Language Modeling. | Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Image Translation as Diffusion Visual Programmers. | Cheng Han, James Chenhao Liang, Qifan Wang, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Ying Nian Wu, Dongfang Liu |
| 2024 | ICLR | 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 |
| 2024 | ICML | Prototypical Transformer As Unified Motion Learners. | 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 |
| 2024 | IJCAI | A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (Extended Abstract). | Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun |
| 2024 | IJCNN | Efficient Transformer-based Edge Detector. | Jinghuai Jie, Qifan Wang, Junmin Wu, Yan Guo, Baojian Hua |
| 2024 | KDD | 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 |
| 2024 | NAACL | 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 |
| 2024 | NAACL | 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 |
| 2024 | NAACL | 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 |
| 2024 | NAACL | LLM-Rec: Personalized Recommendation via Prompting Large Language Models. | Hanjia Lyu, Song Jiang, Hanqing Zeng, Yinglong Xia, Qifan Wang, Si Zhang, Ren Chen, Christopher Leung, Jiajie Tang, Jiebo Luo |
| 2024 | SIGIR | Large Language Models are Learnable Planners for Long-Term Recommendation. | Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng |
| 2024 | TrustCom | GTree: GPU-friendly Privacy-preserving Decision Tree Training and Inference. | Qifan Wang, Shujie Cui, Lei Zhou, Ye Dong, Jianli Bai, Yun Sing Koh, Giovanni Russello |
| 2023 | AAAI | Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection. | Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang |
| 2023 | ACL | 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, Rui Yan |
| 2023 | ACL | 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, Xiang Ren |
| 2023 | ACL | Disentangled Phonetic Representation for Chinese Spelling Correction. | Zihong Liang, Xiaojun Quan, Qifan Wang |
| 2023 | ACL | 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, Rui Yan |
| 2023 | ACL | Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context. | Moxin Li, Wenjie Wang, Fuli Feng, Hanwang Zhang, Qifan Wang, Tat-Seng Chua |
| 2023 | ACL | Meta-training with Demonstration Retrieval for Efficient Few-shot Learning. | Aaron Mueller, Kanika Narang, Lambert Mathias, Qifan Wang, Hamed Firooz |
| 2023 | ACL | Fusion or Defusion? Flexible Vision-and-Language Pre-Training. | Rongyi Sun, Ziran Li, Yifeng Ding, Qifan Wang, Jingang Wang, Haitao Zheng, Wei Wu, Yunsen Xian |
| 2023 | ACL | 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, Dongfang Liu |
| 2023 | ACL | AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression. | Siyue Wu, Hongzhan Chen, Xiaojun Quan, Qifan Wang, Rui Wang |
| 2023 | ACL | 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, Dongfang Liu |
| 2023 | ACL | FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models. | Zhuo Zhang, Yuanhang Yang, Yong Dai, Qifan Wang, Yue Yu, Lizhen Qu, Zenglin Xu |
| 2023 | ACSAC | Mostree: Malicious Secure Private Decision Tree Evaluation with Sublinear Communication. | Jianli Bai, Xiangfu Song, Xiaowu Zhang, Qifan Wang, Shujie Cui, Ee-Chien Chang, Giovanni Russello |
| 2023 | CVPR | TransFlow: Transformer as Flow Learner. | Yawen Lu, Qifan Wang, Siqi Ma, Tong Geng, Yingjie Victor Chen, Huaijin G. Chen, Dongfang Liu |
| 2023 | CVPR | Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. | Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan |
| 2023 | EMNLP | Attack Prompt Generation for Red Teaming and Defending Large Language Models. | Boyi Deng, Wenjie Wang, Fuli Feng, Yang Deng, Qifan Wang, Xiangnan He |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 Wang, Rui Yan |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems. | Tianyuan Shi, Liangzhi Li, Zijian Lin, Tao Yang, Xiaojun Quan, Qifan Wang |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation. | Nan Wang, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang, Shaoliang Nie |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2023 | ICASSP | 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 |
| 2023 | ICCV | E | Cheng Han, Qifan Wang, Yiming Cui, Zhiwen Cao, Wenguan Wang, Siyuan Qi, Dongfang Liu |
| 2023 | ICICS | CryptoMask: Privacy-Preserving Face Recognition. | Jianli Bai, Xiaowu Zhang, Xiangfu Song, Hang Shao, Qifan Wang, Shujie Cui, Giovanni Russello |
| 2023 | IJCAI | Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning. | Liqi Yan, Cheng Han, Zenglin Xu, Dongfang Liu, Qifan Wang |
| 2023 | WWW | A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings. | Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun |
| 2023 | SIGIR | Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation. | Yulong Huang, Yang Zhang, Qifan Wang, Chenxu Wang, Fuli Feng |
| 2023 | WSDM | A Causal View for Item-level Effect of Recommendation on User Preference. | Wei Cai, Fuli Feng, Qifan Wang, Tian Yang, Zhenguang Liu, Congfu Xu |
| 2022 | AsiaCCS | EnclaveTree: Privacy-preserving Data Stream Training and Inference Using TEE. | Qifan Wang, Shujie Cui, Lei Zhou, Ocean Wu, Yonghua Zhu, Giovanni Russello |
| 2022 | COLING | CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations. | Borun Chen, Hongyin Tang, Jiahao Bu, Kai Zhang, Jingang Wang, Qifan Wang, Hai-Tao Zheng, Wei Wu, Liqian Yu |
| 2022 | COLING | Autoregressive Entity Generation for End-to-End Task-Oriented Dialog. | Guanhuan Huang, Xiaojun Quan, Qifan Wang |
| 2022 | ECCV | Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian. | Zhiwen Cao, Dongfang Liu, Qifan Wang, Yingjie Victor Chen |
| 2022 | EMNLP | 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, Enhong Chen |
| 2022 | EMNLP | XPrompt: Exploring the Extreme of Prompt Tuning. | Fang Ma, Chen Zhang, Lei Ren, Jingang Wang, Qifan Wang, Wei Wu, Xiaojun Quan, Dawei Song |
| 2022 | EMNLP | 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, Hao Ma |
| 2022 | EMNLP | 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, Hao Ma |
| 2022 | EMNLP | Federated Model Decomposition with Private Vocabulary for Text Classification. | Zhuo Zhang, Xiangjing Hu, Lizhen Qu, Qifan Wang, Zenglin Xu |
| 2022 | IJCAI | GL-RG: Global-Local Representation Granularity for Video Captioning. | Liqi Yan, Qifan Wang, Yiming Cui, Fuli Feng, Xiaojun Quan, Xiangyu Zhang, Dongfang Liu |
| 2022 | WWW | WebFormer: The Web-page Transformer for Structure Information Extraction. | Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu |
| 2022 | WWW | Deep Partial Multiplex Network Embedding. | Qifan Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu |
| 2022 | WSDM | 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 |
| 2021 | PCS | AC Prediction Error Propagation-based Encryption for Texture Protection of JPEG Compressed Images. | Kosuke Shimizu, Qifan Wang, Taizo Suzuki |
| 2021 | SIGIR | Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method. | Fuli Feng, Weiran Huang, Xiangnan He, Xin Xin, Qifan Wang, Tat-Seng Chua |
| 2020 | EMNLP | ETC: Encoding Long and Structured Inputs in Transformers. | Joshua Ainslie, Santiago Ontan, Chris Alberti, Vaclav Cvicek, Zachary Fisher, Philip Pham, Anirudh Ravula, Sumit Sanghai, Qifan Wang, Li Yang |
| 2020 | KDD | 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 |
| 2019 | CIKM | Constructing a Comprehensive Events Database from the Web. | Qifan Wang, Bhargav Kanagal, Vijay Garg, D. Sivakumar |
| 2017 | IJCAI | Instance-Level Label Propagation with Multi-Instance Learning. | Qifan Wang, Gal Chechik, Chen Sun, Bin Shen |
| 2016 | SIGIR | Learning for Efficient Supervised Query Expansion via Two-stage Feature Selection. | Zhiwei Zhang, Qifan Wang, Luo Si, Jianfeng Gao |
| 2015 | AAAI | SP-SVM: Large Margin Classifier for Data on Multiple Manifolds. | Bin Shen, Bao-Di Liu, Qifan Wang, Yi Fang, Jan P. Allebach |
| 2015 | AAAI | Learning to Hash on Structured Data. | Qifan Wang, Luo Si, Bin Shen |
| 2015 | DSN | LEAPS: Detecting Camouflaged Attacks with Statistical Learning Guided by Program Analysis. | Zhongshu Gu, Kexin Pei, Qifan Wang, Luo Si, Xiangyu Zhang, Dongyan Xu |
| 2015 | IJCAI | Learning to Hash on Partial Multi-Modal Data. | Qifan Wang, Luo Si, Bin Shen |
| 2015 | IJCAI | Ranking Preserving Hashing for Fast Similarity Search. | Qifan Wang, Zhiwei Zhang, Luo Si |
| 2015 | IJCAI | Determining Expert Research Areas with Multi-Instance Learning of Hierarchical Multi-Label Classification Model. | Tao Wu, Qifan Wang, Zhiwei Zhang, Luo Si |
| 2015 | SIGIR | 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 |
| 2014 | AAAI | Adaptive Knowledge Transfer for Multiple Instance Learning in Image Classification. | Qifan Wang, Lingyun Ruan, Luo Si |
| 2014 | CIKM | Sparse Semantic Hashing for Efficient Large Scale Similarity Search. | Qifan Wang, Bin Shen, Zhiwei Zhang, Luo Si |
| 2014 | ECCV | Binary Codes Embedding for Fast Image Tagging with Incomplete Labels. | Qifan Wang, Bin Shen, Shumiao Wang, Liang Li, Luo Si |
| 2014 | ECCV | Learning to Hash with Partial Tags: Exploring Correlation between Tags and Hashing Bits for Large Scale Image Retrieval. | Qifan Wang, Luo Si, Dan Zhang |
| 2014 | ICIP | Robust nonnegative matrix factorization via L1 norm regularization by multiplicative updating rules. | Bin Shen, Bao-Di Liu, Qifan Wang, Rongrong Ji |
| 2014 | SIGIR | Active hashing with joint data example and tag selection. | Qifan Wang, Luo Si, Zhiwei Zhang, Ning Zhang |
| 2014 | SIGIR | Preference preserving hashing for efficient recommendation. | Zhiwei Zhang, Qifan Wang, Lingyun Ruan, Luo Si |
| 2014 | SIGIR | Cross-domain and cross-category emotion tagging for comments of online news. | Ying Zhang, Ning Zhang, Luo Si, Yanshan Lu, Qifan Wang, Xiaojie Yuan |
| 2013 | CIKM | Learning compact hashing codes for efficient tag completion and prediction. | Qifan Wang, Lingyun Ruan, Zhiwei Zhang, Luo Si |
| 2013 | CIKM | Weighted hashing for fast large scale similarity search. | Qifan Wang, Dan Zhang, Luo Si |
| 2013 | SIGIR | Semantic hashing using tags and topic modeling. | Qifan Wang, Dan Zhang, Luo Si |
| 2012 | ECCV | A Discriminative Data-Dependent Mixture-Model Approach for Multiple Instance Learning in Image Classification. | Qifan Wang, Luo Si, Dan Zhang |
| 2011 | CCS | A robust one-class bayesian approach for masquerade detection. | Qifan Wang, Luo Si |
| 2010 | ECCV | A Globally Optimal Approach for 3D Elastic Motion Estimation from Stereo Sequences. | Qifan Wang, Linmi Tao, Huijun Di |