Qifan Wang - RankMe

305 papers A* 68A 10B 3Misc 2Journal 163Unranked 58

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A-SelecT: Automatic Timestep Selection for Diffusion Transformer Representation Learning. CoRR Changyu Liu, James Chenhao Liang, Wenhao Yang, Yiming Cui, Jinghao Yang, Tianyang Wang, Qifan Wang, Dongfang Liu, Cheng Han
2026	J	`jnl`	Adversarial Reward Auditing for Active Detection and Mitigation of Reward Hacking. CoRR Mohammad Beigi, Ming Jin, Junshan Zhang, Qifan Wang, Lifu Huang
2026	J	`jnl`	Benefit-cost frontier-aware semantic reasoning for zero-shot object navigation. Appl. Intell. Hanrui Chen, Liqi Yan, Qifan Wang, Jianhui Zhang, Fangli Guan, Pan Li
2026	A*	`conf`	Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking. WWW Xinyu Lin, Pengyuan Liu, Wenjie Wang, Yicheng Hu, Chen Xu, Fuli Feng, Qifan Wang, Tat-Seng Chua
2026	J	`jnl`	Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking. CoRR Xinyu Lin, Pengyuan Liu, Wenjie Wang, Yicheng Hu, Chen Xu, Fuli Feng, Qifan Wang, Tat-Seng Chua
2026	A*	`conf`	Chain-of-Search: Parameter-Efficient Reasoning for Zero-Shot Object Navigation. AAAI Hanrui Chen, Liqi Yan, Qifan Wang, Jianhui Zhang, Fangli Guan, Pan Li
2026	J	`jnl`	DARC: Disagreement-Aware Alignment via Risk-Constrained Decoding. CoRR Mingxi Zou, Jiaxiang Chen, Junfan Li, Langzhang Liang, Qifan Wang, Yinghui Xu, Zenglin Xu
2026	J	`jnl`	Enhancing progressive ensemble learning via normalized extra-Gradient initialization. Neural Networks Zheshun Wu, Yu Pan, Dun Zeng, Qifan Wang, Zenglin Xu, Jie Liu
2026	J	`jnl`	How Do Large Language Models Learn Concepts During Continual Pre-Training? CoRR Barry Menglong Yao, Sha Li, Yunzhi Yao, Minqian Liu, Zaishuo Xia, Qifan Wang, Lifu Huang
2026	J	`jnl`	IR CoRR Mohammad Beigi, Ming Jin, Junshan Zhang, Jiaxin Zhang, Qifan Wang, Lifu Huang
2026	J	`jnl`	On-the-Fly VLA Adaptation via Test-Time Reinforcement Learning. CoRR Changyu Liu, Yiyang Liu, Taowen Wang, Qiao Zhuang, James Chenhao Liang, Wenhao Yang, Renjing Xu, Qifan Wang, Dongfang Liu, Cheng Han
2026	J	`jnl`	Prompt-based Adaptation in Large-scale Vision Models: A Survey. Trans. Mach. Learn. Res. Xi Xiao, Yunbei Zhang, Lin Zhao, Yiyang Liu, Xiaoying Liao, Zheda Mai, Xingjian Li, Xiao Wang, Hao Xu, Jihun Hamm, Xue Lin, Min Xu, Qifan Wang, Tianyang Wang, Cheng Han
2026	J	`jnl`	ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning. CoRR Ruizhong Qiu, Hanqing Zeng, Yinglong Xia, Yiwen Meng, Ren Chen, Jiarui Feng, Dongqi Fu, Qifan Wang, Jiayi Liu, Jun Xiao, Xiangjun Fan, Benyu Zhang, Hong Li, Zhining Liu, Hyunsik Yoo, Zhichen Zeng, Tianxin Wei, Hanghang Tong
2026	J	`jnl`	Rethinking ANN-based Retrieval: Multifaceted Learnable Index for Large-scale Recommendation System. CoRR Jiang Zhang, Yubo Wang, Wei Chang, Lu Han, Xingying Cheng, Feng Zhang, Min Li, Songhao Jiang, Wei Zheng, Harry Tran, Zhen Wang, Lei Chen, Yueming Wang, Benyu Zhang, Xiangjun Fan, Bi Xue, Qifan Wang
2026	J	`jnl`	TokenSeek: Memory Efficient Fine Tuning via Instance-Aware Token Ditching. CoRR Runjia Zeng, Qifan Wang, Qiang Guan, Ruixiang Tang, Lifu Huang, Zhenting Wang, Xueling Zhang, Cheng Han, Dongfang Liu
2026	J	`jnl`	Verifiable Reasoning for LLM-based Generative Recommendation. CoRR Xinyu Lin, Hanqing Zeng, Hanchao Yu, Yinglong Xia, Jiang Zhang, Aashu Singh, Fei Liu, Wenjie Wang, Fuli Feng, Tat-Seng Chua, Qifan Wang
2025	—	`conf`	100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? ACL (Findings) Wang Yang, Hongye Jin, Shaochen Zhong, Song Jiang, Qifan Wang, Vipin Chaudhary, Xiaotian Han
2025	J	`jnl`	100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? CoRR Wang Yang, Hongye Jin, Shaochen Zhong, Song Jiang, Qifan Wang, Vipin Chaudhary, Xiaotian Han
2025	J	`jnl`	AR-RAG: Autoregressive Retrieval Augmentation for Image Generation. CoRR Jingyuan Qi, Zhiyang Xu, Qifan Wang, Lifu Huang
2025	A*	`conf`	Advantage-Guided Distillation for Preference Alignment in Small Language Models. ICLR Shiping Gao, Fanqi Wan, Jiajian Guo, Xiaojun Quan, Qifan Wang
2025	J	`jnl`	Advantage-Guided Distillation for Preference Alignment in Small Language Models. CoRR Shiping Gao, Fanqi Wan, Jiajian Guo, Xiaojun Quan, Qifan Wang
2025	J	`jnl`	Advocating for the Silent: Enhancing Federated Generalization for Nonparticipating Clients. IEEE Trans. Neural Networks Learn. Syst. Zheshun Wu, Zenglin Xu, Dun Zeng, Qifan Wang, Jie Liu
2025	A*	`conf`	Agentic Feedback Loop Modeling Improves Recommendation and User Simulation. SIGIR Shihao Cai, Jizhi Zhang, Keqin Bao, Chongming Gao, Qifan Wang, Fuli Feng, Xiangnan He
2025	J	`jnl`	All You Need is One: Capsule Prompt Tuning with a Single Vector. CoRR Yiyang Liu, James Chenhao Liang, Heng Fan, Wenhao Yang, Yiming Cui, Xiaotian Han, Lifu Huang, Dongfang Liu, Qifan Wang, Cheng Han
2025	—	`conf`	Assistant-Guided Mitigation of Teacher Preference Bias in LLM-as-a-Judge. EMNLP (Findings) Zhuo Liu, Moxin Li, Xun Deng, Qifan Wang, Fuli Feng
2025	J	`jnl`	Assistant-Guided Mitigation of Teacher Preference Bias in LLM-as-a-Judge. CoRR Zhuo Liu, Moxin Li, Xun Deng, Qifan Wang, Fuli Feng
2025	J	`jnl`	Balancing Semantic Relevance and Engagement in Related Video Recommendations. CoRR Amit Jaspal, Feng Zhang, Wei Chang, Sumit Kumar, Yubo Wang, Roni Mittleman, Qifan Wang, Weize Mao
2025	J	`jnl`	Bridging VLMs and Embodied Intelligence with Deliberate Practice Policy Optimization. CoRR 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
2025	J	`jnl`	CoLLM: Integrating Collaborative Embeddings Into Large Language Models for Recommendation. IEEE Trans. Knowl. Data Eng. Yang Zhang, Fuli Feng, Jizhi Zhang, Keqin Bao, Qifan Wang, Xiangnan He
2025	A*	`conf`	CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG. AAAI Boyi Deng, Wenjie Wang, Fengbin Zhu, Qifan Wang, Fuli Feng
2025	J	`jnl`	Demystifying Hybrid Thinking: Can LLMs Truly Switch Between Think and No-Think? CoRR Shouren Wang, Wang Yang, Xianxuan Long, Qifan Wang, Vipin Chaudhary, Xiaotian Han
2025	—	`conf`	Dynamic Fisher-weighted Model Merging via Bayesian Optimization. NAACL (Long Papers) Sanwoo Lee, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Yunfang Wu
2025	J	`jnl`	Dynamic Fisher-weighted Model Merging via Bayesian Optimization. CoRR Sanwoo Lee, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Yunfang Wu
2025	J	`jnl`	Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance. Trans. Mach. Learn. Res. Dun Zeng, Zenglin Xu, Yu Pan, Xu Luo, Qifan Wang, Xiaoying Tang
2025	—	`conf`	Error-driven Data-efficient Large Multimodal Model Tuning. ACL (1) Barry Menglong Yao, Qifan Wang, Lifu Huang
2025	—	`conf`	FinHEAR: Human Expertise and Adaptive Risk-Aware Temporal Reasoning for Financial Decision-Making. EMNLP (Findings) Jiaxiang Chen, Mingxi Zou, Zhuo Wang, Qifan Wang, Danny Dongning Sun, Zhang Chi, Zenglin Xu
2025	J	`jnl`	FinHEAR: Human Expertise and Adaptive Risk-Aware Temporal Reasoning for Financial Decision-Making. CoRR Jiaxiang Chen, Mingxi Zou, Zhuo Wang, Qifan Wang, Dongning Sun, Chi Zhang, Zenglin Xu
2025	—	`conf`	Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models. EMNLP (Findings) Haibo Wang, Zhiyang Xu, Yu Cheng, Shizhe Diao, Yufan Zhou, Yixin Cao, Qifan Wang, Weifeng Ge, Lifu Huang
2025	J	`jnl`	Guideline Forest: Experience-Induced Multi-Guideline Reasoning with Stepwise Aggregation. CoRR Jiaxiang Chen, Zhuo Wang, Mingxi Zou, Qifan Wang, Zenglin Xu
2025	A*	`conf`	IDInit: A Universal and Stable Initialization Method for Neural Network Training. ICLR Yu Pan, Chaozheng Wang, Zekai Wu, Qifan Wang, Min Zhang, Zenglin Xu
2025	J	`jnl`	IDInit: A Universal and Stable Initialization Method for Neural Network Training. CoRR Yu Pan, Chaozheng Wang, Zekai Wu, Qifan Wang, Min Zhang, Zenglin Xu
2025	—	`conf`	Item-Language Model: Improving Large Language Model for Recommendation via Item-Language Representation Learning. IJCNLP-AACL (long papers) Li Yang, Anushya Subbiah, Hardik Patel, Judith Yue Li, Yanwei Song, Reza Mirghaderi, Vikram Aggarwal, Fuli Feng, Zenglin Xu, Dongfang Liu, Qifan Wang
2025	—	`conf`	K-order Ranking Preference Optimization for Large Language Models. ACL (Findings) Shihao Cai, Chongming Gao, Yang Zhang, Wentao Shi, Jizhi Zhang, Keqin Bao, Qifan Wang, Fuli Feng
2025	J	`jnl`	K-order Ranking Preference Optimization for Large Language Models. CoRR Shihao Cai, Chongming Gao, Yang Zhang, Wentao Shi, Jizhi Zhang, Keqin Bao, Qifan Wang, Fuli Feng
2025	J	`jnl`	LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models. CoRR Xi Zhu, Haochen Xue, Ziwei Zhao, Wujiang Xu, Jingyuan Huang, Minghao Guo, Qifan Wang, Kaixiong Zhou, Yongfeng Zhang
2025	A*	`conf`	MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper. EMNLP Runjia Zeng, Guangyan Sun, Qifan Wang, Tong Geng, Sohail A. Dianat, Xiaotian Han, Raghuveer Rao, Xueling Zhang, Cheng Han, Lifu Huang, Dongfang Liu
2025	J	`jnl`	MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper. CoRR Runjia Zeng, Guangyan Sun, Qifan Wang, Tong Geng, Sohail A. Dianat, Xiaotian Han, Raghuveer Rao, Xueling Zhang, Cheng Han, Lifu Huang, Dongfang Liu
2025	J	`jnl`	Meaningless Tokens, Meaningful Gains: How Activation Shifts Enhance LLM Reasoning. CoRR Zeru Shi, Yingjia Wan, Zhenting Wang, Qifan Wang, Fan Yang, Elisa Kreiss, Ruixiang Tang
2025	A*	`conf`	Modality-Specialized Synergizers for Interleaved Vision-Language Generalists. ICLR Zhiyang Xu, Minqian Liu, Ying Shen, Joy Rimchala, Jiaxin Zhang, Qifan Wang, Yu Cheng, Lifu Huang
2025	J	`jnl`	More for Keys, Less for Values: Adaptive KV Cache Quantization. CoRR Mohsen Hariri, Lam Nguyen, Sixu Chen, Shaochen Zhong, Qifan Wang, Xia Ben Hu, Xiaotian Han, Vipin Chaudhary
2025	A*	`conf`	NEXUS-O: An Omni-Perceptive and -Interactive Model for Language, Audio, and Vision. ACM Multimedia Che Liu, Yingji Zhang, Dong Zhang, Weijie Zhang, Chenggong Gong, Yu Lu, Shilin Zhou, Ziliang Gan, Ziao Wang, Haipang Wu, Ji Liu, André Freitas, Qifan Wang, Zenglin Xu, Rongjunchen Zhang, Yong Dai
2025	J	`jnl`	Nexus-O: An Omni-Perceptive And -Interactive Model for Language, Audio, And Vision. CoRR 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
2025	A	`conf`	On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond. AISTATS Dun Zeng, Zenglin Xu, Shiyu Liu, Yu Pan, Qifan Wang, Xiaoying Tang
2025	—	`conf`	Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation. KDD (2) Jiang Zhang, Sumit Kumar, Wei Chang, Yubo Wang, Feng Zhang, Weize Mao, Hanchao Yu, Aashu Singh, Min Li, Qifan Wang
2025	J	`jnl`	Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation. CoRR Jiang Zhang, Sumit Kumar, Wei Chang, Yubo Wang, Feng Zhang, Weize Mao, Hanchao Yu, Aashu Singh, Min Li, Qifan Wang
2025	A*	`conf`	Order-agnostic Identifier for Large Language Model-based Generative Recommendation. SIGIR Xinyu Lin, Haihan Shi, Wenjie Wang, Fuli Feng, Qifan Wang, See-Kiong Ng, Tat-Seng Chua
2025	J	`jnl`	Order-agnostic Identifier for Large Language Model-based Generative Recommendation. CoRR Xinyu Lin, Haihan Shi, Wenjie Wang, Fuli Feng, Qifan Wang, See-Kiong Ng, Tat-Seng Chua
2025	J	`jnl`	Pisces: An Auto-regressive Foundation Model for Image Understanding and Generation. CoRR 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
2025	J	`jnl`	Probabilistic Token Alignment for Large Language Model Fusion. CoRR Runjia Zeng, James Chenhao Liang, Cheng Han, Zhiwen Cao, Jiahao Liu, Xiaojun Quan, Yingjie Victor Chen, Lifu Huang, Tong Geng, Qifan Wang, Dongfang Liu
2025	J	`jnl`	Prompt-based Adaptation in Large-scale Vision Models: A Survey. CoRR Xi Xiao, Yunbei Zhang, Lin Zhao, Yiyang Liu, Xiaoying Liao, Zheda Mai, Xingjian Li, Xiao Wang, Hao Xu, Jihun Hamm, Xue Lin, Min Xu, Qifan Wang, Tianyang Wang, Cheng Han
2025	J	`jnl`	PsyPlay: Personality-Infused Role-Playing Conversational Agents. CoRR Tao Yang, Yuhua Zhu, Xiaojun Quan, Cong Liu, Qifan Wang
2025	A*	`conf`	Re-Imagining Multimodal Instruction Tuning: A Representation View. ICLR 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	J	`jnl`	Re-Imagining Multimodal Instruction Tuning: A Representation View. CoRR 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	—	`conf`	ReAlign: Structured Revision for Small Language Model Alignment. EMNLP (Findings) Ruijun Chen, Jiajian Guo, Hongzhan Chen, Fanqi Wan, Qifan Wang, Xiaojun Quan
2025	J	`jnl`	Reason4Rec: Large Language Models for Recommendation with Deliberative User Preference Alignment. CoRR Yi Fang, Wenjie Wang, Yang Zhang, Fengbin Zhu, Qifan Wang, Fuli Feng, Xiangnan He
2025	J	`jnl`	RecoWorld: Building Simulated Environments for Agentic Recommender Systems. CoRR 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
2025	J	`jnl`	Recommendation Unlearning via Influence Function. Trans. Recomm. Syst. Yang Zhang, ZhiYu Hu, Yimeng Bai, Jiancan Wu, Qifan Wang, Fuli Feng
2025	J	`jnl`	SELF: Self-Extend the Context Length With Logistic Growth Function. CoRR Phat Thanh Dang, Saahil Thoppay, Wang Yang, Qifan Wang, Vipin Chaudhary, Xiaotian Han
2025	A	`conf`	STaR: Multi-Granular Spatio-Temporal Reasoning for Long-Form Dense Video Captioning. ECAI Yihao Wu, Chenhuan Cai, Liqi Yan, Huapeng Li, Jianhui Zhang, Jiahao Liu, Qifan Wang, Fangli Guan, Pan Li
2025	—	`conf`	Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models. IJCNLP-AACL (Findings) Yingqi Hu, Zhuo Zhang, Jingyuan Zhang, Jinghua Wang, Qifan Wang, Lizhen Qu, Zenglin Xu
2025	J	`jnl`	Soft prompt tuning for augmenting dense retrieval with large language models. Knowl. Based Syst. Zhiyuan Peng, Xuyang Wu, Qifan Wang, Yi Fang
2025	J	`jnl`	StoCFL: A stochastically clustered federated learning framework for Non-IID data with dynamic client participation. Neural Networks Dun Zeng, Xiangjing Hu, Shiyu Liu, Yue Yu, Qifan Wang, Zenglin Xu
2025	A*	`conf`	Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories. EMNLP Mohammad Beigi, Ying Shen, Parshin Shojaee, Qifan Wang, Zichao Wang, Chandan K. Reddy, Ming Jin, Lifu Huang
2025	J	`jnl`	Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories. CoRR Mohammad Beigi, Ying Shen, Parshin Shojaee, Qifan Wang, Zichao Wang, Chandan K. Reddy, Ming Jin, Lifu Huang
2025	J	`jnl`	Towards An Efficient LLM Training Paradigm for CTR Prediction. CoRR Allen Lin, Renqin Cai, Yun He, Hanchao Yu, Jing Qian, Rui Li, Qifan Wang, James Caverlee
2025	A	`conf`	Uncertainty Quantification for Multiple-Choice Questions is Just One-Token Deep. CIKM 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	A*	`conf`	Visual Agents as Fast and Slow Thinkers. ICLR Guangyan Sun, Mingyu Jin, Zhenting Wang, Cheng-Long Wang, Siqi Ma, Qifan Wang, Tong Geng, Ying Nian Wu, Yongfeng Zhang, Dongfang Liu
2025	Misc	`conf`	W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering. ICTIR Jinming Nian, Zhiyuan Peng, Qifan Wang, Yi Fang
2025	—	`conf`	When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations. ACL (1) Huaizhi Ge, Yiming Li, Qifan Wang, Yongfeng Zhang, Ruixiang Tang
2024	A*	`conf`	A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (Extended Abstract). IJCAI Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun
2024	—	`conf`	AMD: Automatic Multi-step Distillation of Large-Scale Vision Models. ECCV (65) Cheng Han, Qifan Wang, Sohail A. Dianat, Majid Rabbani, Raghuveer M. Rao, Yi Fang, Qiang Guan, Lifu Huang, Dongfang Liu
2024	J	`jnl`	AMD: Automatic Multi-step Distillation of Large-scale Vision Models. CoRR Cheng Han, Qifan Wang, Sohail A. Dianat, Majid Rabbani, Raghuveer M. Rao, Yi Fang, Qiang Guan, Lifu Huang, Dongfang Liu
2024	—	`conf`	Ameli: Enhancing Multimodal Entity Linking with Fine-Grained Attributes. EACL (1) Barry Menglong Yao, Sijia Wang, Yu Chen, Qifan Wang, Minqian Liu, Zhiyang Xu, Licheng Yu, Lifu Huang
2024	—	`conf`	C-ICL: Contrastive In-context Learning for Information Extraction. EMNLP (Findings) Ying Mo, Jiahao Liu, Jian Yang, Qifan Wang, Shun Zhang, Jingang Wang, Zhoujun Li
2024	J	`jnl`	CompCap: Improving Multimodal Large Language Models with Composite Captions. CoRR Xiaohui Chen, Satya Narayan Shukla, Mahmoud Azab, Aashu Singh, Qifan Wang, David Yang, Shengyun Peng, Hanchao Yu, Shen Yan, Xuewen Zhang, Baosheng He
2024	J	`jnl`	CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG. CoRR Boyi Deng, Wenjie Wang, Fengbin Zhu, Qifan Wang, Fuli Feng
2024	A*	`conf`	Direct Multi-Turn Preference Optimization for Language Agents. EMNLP Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng
2024	J	`jnl`	Direct Multi-Turn Preference Optimization for Language Agents. CoRR Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng
2024	—	`conf`	EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction. EMNLP (Findings) Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu
2024	J	`jnl`	EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction. CoRR Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu
2024	J	`jnl`	Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning. CoRR Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng
2024	J	`jnl`	Error-driven Data-efficient Large Multimodal Model Tuning. CoRR Barry Menglong Yao, Qifan Wang, Lifu Huang
2024	J	`jnl`	Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics. CoRR Taowen Wang, Dongfang Liu, James Chenhao Liang, Wenhao Yang, Qifan Wang, Cheng Han, Jiebo Luo, Ruixiang Tang
2024	A*	`conf`	FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods. ICLR Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu
2024	—	`conf`	FIRP: Faster LLM Inference via Future Intermediate Representation Prediction. NLPCC (3) Pengfei Wu, Jiahao Liu, Zhuocheng Gong, Qifan Wang, Jinpeng Li, Jingang Wang, Xunliang Cai, Dongyan Zhao
2024	J	`jnl`	FIRP: Faster LLM inference via future intermediate representation prediction. CoRR Pengfei Wu, Jiahao Liu, Zhuocheng Gong, Qifan Wang, Jinpeng Li, Jingang Wang, Xunliang Cai, Dongyan Zhao
2024	J	`jnl`	Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning? CoRR Cheng Han, Qifan Wang, Yiming Cui, Wenguan Wang, Lifu Huang, Siyuan Qi, Dongfang Liu
2024	A*	`conf`	Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning? ICLR Cheng Han, Qifan Wang, Yiming Cui, Wenguan Wang, Lifu Huang, Siyuan Qi, Dongfang Liu
2024	J	`jnl`	Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models. CoRR Haibo Wang, Zhiyang Xu, Yu Cheng, Shizhe Diao, Yufan Zhou, Yixin Cao, Qifan Wang, Weifeng Ge, Lifu Huang
2024	A*	`conf`	HYDRA: Model Factorization Framework for Black-Box LLM Personalization. NeurIPS Yuchen Zhuang, Haotian Sun, Yue Yu, Rushi Qiang, Qifan Wang, Chao Zhang, Bo Dai
2024	J	`jnl`	HYDRA: Model Factorization Framework for Black-Box LLM Personalization. CoRR Yuchen Zhuang, Haotian Sun, Yue Yu, Rushi Qiang, Qifan Wang, Chao Zhang, Bo Dai
2024	A*	`conf`	Image Translation as Diffusion Visual Programmers. ICLR Cheng Han, James Chenhao Liang, Qifan Wang, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Ying Nian Wu, Dongfang Liu
2024	J	`jnl`	Image Translation as Diffusion Visual Programmers. CoRR Cheng Han, James Chenhao Liang, Qifan Wang, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Ying Nian Wu, Dongfang Liu
2024	J	`jnl`	Inertial Confinement Fusion Forecasting via LLMs. CoRR 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
2024	J	`jnl`	InternalInspector I CoRR Mohammad Beigi, Ying Shen, Runing Yang, Zihao Lin, Qifan Wang, Ankith Mohan, Jianfeng He, Ming Jin, Chang-Tien Lu, Lifu Huang
2024	—	`conf`	InternalInspector I²: Robust Confidence Estimation in LLMs through Internal States. EMNLP (Findings) Mohammad Beigi, Ying Shen, Runing Yang, Zihao Lin, Qifan Wang, Ankith Mohan, Jianfeng He, Ming Jin, Chang-Tien Lu, Lifu Huang
2024	A*	`conf`	Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model. CVPR Shraman Pramanick, Guangxing Han, Rui Hou, Sayan Nag, Ser-Nam Lim, Nicolas Ballas, Qifan Wang, Rama Chellappa, Amjad Almahairi
2024	—	`conf`	LLM-Rec: Personalized Recommendation via Prompting Large Language Models. NAACL-HLT (Findings) Hanjia Lyu, Song Jiang, Hanqing Zeng, Yinglong Xia, Qifan Wang, Si Zhang, Ren Chen, Christopher Leung, Jiajie Tang, Jiebo Luo
2024	—	`conf`	LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models. NAACL-HLT Chi Han, Qifan Wang, Hao Peng, Wenhan Xiong, Yu Chen, Heng Ji, Sinong Wang
2024	A*	`conf`	Large Language Models are Learnable Planners for Long-Term Recommendation. SIGIR Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng
2024	J	`jnl`	Lateralization LoRA: Interleaved Instruction Tuning with Modality-Specialized Adaptations. CoRR Zhiyang Xu, Minqian Liu, Ying Shen, Joy Rimchala, Jiaxin Zhang, Qifan Wang, Yu Cheng, Lifu Huang
2024	J	`jnl`	M CoRR 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
2024	—	`conf`	MART: Improving LLM Safety with Multi-round Automatic Red-Teaming. NAACL-HLT Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao
2024	A*	`conf`	MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning. AAAI Ying Mo, Jian Yang, Jiahao Liu, Qifan Wang, Ruoyu Chen, Jingang Wang, Zhoujun Li
2024	—	`conf`	Minimal Distillation Schedule for Extreme Language Model Compression. EACL (Findings) Chen Zhang, Yang Yang, Qifan Wang, Jiahao Liu, Jingang Wang, Wei Wu, Dawei Song
2024	J	`jnl`	MixingMask: A contour-aware approach for joint object detection and instance segmentation. Pattern Recognit. Wenzhe Ouyang, Zenglin Xu, Jing Xu, Qifan Wang, Yong Xu
2024	J	`jnl`	Multi-Task Multi-Attention Transformer for Generative Named Entity Recognition. IEEE ACM Trans. Audio Speech Lang. Process. Ying Mo, Jiahao Liu, Hongyin Tang, Qifan Wang, Zenglin Xu, Jingang Wang, Xiaojun Quan, Wei Wu, Zhoujun Li
2024	—	`conf`	Multimodal Instruction Tuning with Conditional Mixture of LoRA. ACL (1) Ying Shen, Zhiyang Xu, Qifan Wang, Yu Cheng, Wenpeng Yin, Lifu Huang
2024	J	`jnl`	Multimodal Instruction Tuning with Conditional Mixture of LoRA. CoRR Ying Shen, Zhiyang Xu, Qifan Wang, Yu Cheng, Wenpeng Yin, Lifu Huang
2024	A*	`conf`	M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning. EMNLP 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	—	`conf`	Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models. ACL (1) Zihao Lin, Mohammad Beigi, Hongxuan Li, Yufan Zhou, Yuxiang Zhang, Qifan Wang, Wenpeng Yin, Lifu Huang
2024	J	`jnl`	Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models. CoRR Zihao Lin, Mohammad Beigi, Hongxuan Li, Yufan Zhou, Yuxiang Zhang, Qifan Wang, Wenpeng Yin, Lifu Huang
2024	J	`jnl`	On the Equivalence of Graph Convolution and Mixup. Trans. Mach. Learn. Res. 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
2024	J	`jnl`	Optical Flow as Spatial-Temporal Attention Learners. IEEE Trans. Pattern Anal. Mach. Intell. Yawen Lu, Cheng Han, Qifan Wang, Heng Fan, Zhaodan Kong, Dongfang Liu, Yingjie Victor Chen
2024	J	`jnl`	PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations. CoRR Shiyi Qi, Zenglin Xu, Yiduo Li, Liangjian Wen, Qingsong Wen, Qifan Wang, Yuan Qi
2024	J	`jnl`	Parallel Decoding via Hidden Transfer for Lossless Large Language Model Acceleration. CoRR Pengfei Wu, Jiahao Liu, Zhuocheng Gong, Qifan Wang, Jinpeng Li, Jingang Wang, Xunliang Cai, Dongyan Zhao
2024	J	`jnl`	ProMotion: Prototypes As Motion Learners. CoRR Yawen Lu, Dongfang Liu, Qifan Wang, Cheng Han, Yiming Cui, Zhiwen Cao, Xueling Zhang, Yingjie Victor Chen, Heng Fan
2024	A*	`conf`	ProMotion: Prototypes as Motion Learners. CVPR Yawen Lu, Dongfang Liu, Qifan Wang, Cheng Han, Yiming Cui, Zhiwen Cao, Xueling Zhang, Yingjie Victor Chen, Heng Fan
2024	J	`jnl`	ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding. CoRR Yijia Xiao, Edward Sun, Yiqiao Jin, Qifan Wang, Wei Wang
2024	A*	`conf`	Prototypical Transformer As Unified Motion Learners. ICML 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	J	`jnl`	Prototypical Transformer as Unified Motion Learners. CoRR 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
2024	J	`jnl`	Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models. CoRR Zhiyuan Peng, Xuyang Wu, Qifan Wang, Sravanthi Rajanala, Yi Fang
2024	—	`conf`	RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. NAACL-HLT Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz
2024	—	`conf`	Radiance Field Learners As UAV First-Person Viewers. ECCV (61) Liqi Yan, Qifan Wang, Junhan Zhao, Qiang Guan, Zheng Tang, Jianhui Zhang, Dongfang Liu
2024	J	`jnl`	Radiance Field Learners As UAV First-Person Viewers. CoRR Liqi Yan, Qifan Wang, Junhan Zhao, Qiang Guan, Zheng Tang, Jianhui Zhang, Dongfang Liu
2024	A*	`conf`	Representation Deficiency in Masked Language Modeling. ICLR Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer
2024	—	`conf`	Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding. LREC/COLING Zhuo Zhang, Jintao Huang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Yue Yu, Qifan Wang, Lizhen Qu, Zenglin Xu
2024	J	`jnl`	RoRA-VLM: Robust Retrieval-Augmented Vision Language Models. CoRR Jingyuan Qi, Zhiyang Xu, Rulin Shao, Yang Chen, Di Jin, Yu Cheng, Qifan Wang, Lifu Huang
2024	J	`jnl`	Self-Supervised Adversarial Training of Monocular Depth Estimation Against Physical-World Attacks. IEEE Trans. Pattern Anal. Mach. Intell. Zhiyuan Cheng, Cheng Han, James Liang, Qifan Wang, Xiangyu Zhang, Dongfang Liu
2024	J	`jnl`	Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks. CoRR Zhiyuan Cheng, Cheng Han, James Liang, Qifan Wang, Xiangyu Zhang, Dongfang Liu
2024	—	`conf`	Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism. ACL (Findings) Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai
2024	J	`jnl`	Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism. CoRR Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai
2024	J	`jnl`	Think Twice Before Assure: Confidence Estimation for Large Language Models through Reflection on Multiple Answers. CoRR Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua
2024	—	`conf`	Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection. EMNLP (Findings) Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua
2024	J	`jnl`	Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models. CoRR 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
2024	A*	`conf`	Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms. NeurIPS Fan Yao, Yiming Liao, Jingzhou Liu, Shaoliang Nie, Qifan Wang, Haifeng Xu, Hongning Wang
2024	J	`jnl`	Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms. CoRR Fan Yao, Yiming Liao, Jingzhou Liu, Shaoliang Nie, Qifan Wang, Haifeng Xu, Hongning Wang
2024	A*	`conf`	User Welfare Optimization in Recommender Systems with Competing Content Creators. KDD Fan Yao, Yiming Liao, Mingzhe Wu, Chuanhao Li, Yan Zhu, James Yang, Jingzhou Liu, Qifan Wang, Haifeng Xu, Hongning Wang
2024	J	`jnl`	User Welfare Optimization in Recommender Systems with Competing Content Creators. CoRR Fan Yao, Yiming Liao, Mingzhe Wu, Chuanhao Li, Yan Zhu, James Yang, Qifan Wang, Haifeng Xu, Hongning Wang
2024	—	`conf`	Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning. ACL (Findings) Zhiyang Xu, Chao Feng, Rulin Shao, Trevor Ashby, Ying Shen, Di Jin, Yu Cheng, Qifan Wang, Lifu Huang
2024	J	`jnl`	Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning. CoRR Zhiyang Xu, Chao Feng, Rulin Shao, Trevor Ashby, Ying Shen, Di Jin, Yu Cheng, Qifan Wang, Lifu Huang
2024	J	`jnl`	Visual Agents as Fast and Slow Thinkers. CoRR Guangyan Sun, Mingyu Jin, Zhenting Wang, Cheng-Long Wang, Siqi Ma, Qifan Wang, Ying Nian Wu, Yongfeng Zhang, Dongfang Liu
2024	A*	`conf`	Visual Fourier Prompt Tuning. NeurIPS Runjia Zeng, Cheng Han, Qifan Wang, Chunshu Wu, Tong Geng, Lifu Huang, Ying Nian Wu, Dongfang Liu
2024	J	`jnl`	Visual Fourier Prompt Tuning. CoRR Runjia Zeng, Cheng Han, Qifan Wang, Chunshu Wu, Tong Geng, Lifu Huang, Ying Nian Wu, Dongfang Liu
2024	J	`jnl`	W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering. CoRR Jinming Nian, Zhiyuan Peng, Qifan Wang, Yi Fang
2024	J	`jnl`	When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations. CoRR Huaizhi Ge, Yiming Li, Qifan Wang, Yongfeng Zhang, Ruixiang Tang
2023	A	`conf`	A Causal View for Item-level Effect of Recommendation on User Preference. WSDM Wei Cai, Fuli Feng, Qifan Wang, Tian Yang, Zhenguang Liu, Congfu Xu
2023	A*	`conf`	A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings. WWW Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun
2023	—	`conf`	AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression. ACL (1) Siyue Wu, Hongzhan Chen, Xiaojun Quan, Qifan Wang, Rui Wang
2023	J	`jnl`	AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression. CoRR Siyue Wu, Hongzhan Chen, Xiaojun Quan, Qifan Wang, Rui Wang
2023	J	`jnl`	AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes. CoRR Barry Menglong Yao, Yu Chen, Qifan Wang, Sijia Wang, Minqian Liu, Zhiyang Xu, Licheng Yu, Lifu Huang
2023	A*	`conf`	APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models. EMNLP Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu
2023	J	`jnl`	Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-Text Rationales. CoRR Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, Xiang Ren
2023	—	`conf`	Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales. ACL (1) Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, Xiang Ren
2023	—	`conf`	Attack Prompt Generation for Red Teaming and Defending Large Language Models. EMNLP (Findings) Boyi Deng, Wenjie Wang, Fuli Feng, Yang Deng, Qifan Wang, Xiangnan He
2023	J	`jnl`	Attack Prompt Generation for Red Teaming and Defending Large Language Models. CoRR Boyi Deng, Wenjie Wang, Fuli Feng, Yang Deng, Qifan Wang, Xiangnan He
2023	J	`jnl`	Boosting adversarial robustness via self-paced adversarial training. Neural Networks Lirong He, Qingzhong Ai, Xincheng Yang, Yazhou Ren, Qifan Wang, Zenglin Xu
2023	A*	`conf`	COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation. EMNLP Nan Wang, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang, Shaoliang Nie
2023	J	`jnl`	CatGCN: Graph Convolutional Networks With Categorical Node Features. IEEE Trans. Knowl. Data Eng. Weijian Chen, Fuli Feng, Qifan Wang, Xiangnan He, Chonggang Song, Guohui Ling, Yongdong Zhang
2023	A*	`conf`	ClusterFomer: Clustering As A Universal Visual Learner. NeurIPS James Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu
2023	J	`jnl`	ClusterFormer: Clustering As A Universal Visual Learner. CoRR James Chenhao Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu
2023	J	`jnl`	CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation. CoRR Yang Zhang, Fuli Feng, Jizhi Zhang, Keqin Bao, Qifan Wang, Xiangnan He
2023	A*	`conf`	Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality. EMNLP Harman Singh, Pengchuan Zhang, Qifan Wang, Mengjiao Wang, Wenhan Xiong, Jingfei Du, Yu Chen
2023	J	`jnl`	Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality. CoRR Harman Singh, Pengchuan Zhang, Qifan Wang, Mengjiao Wang, Wenhan Xiong, Jingfei Du, Yu Chen
2023	A*	`conf`	Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. CVPR Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan
2023	J	`jnl`	Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. CoRR Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan
2023	—	`conf`	Disentangled Phonetic Representation for Chinese Spelling Correction. ACL (1) Zihong Liang, Xiaojun Quan, Qifan Wang
2023	J	`jnl`	Disentangled Phonetic Representation for Chinese Spelling Correction. CoRR Zihong Liang, Xiaojun Quan, Qifan Wang
2023	A*	`conf`	Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems. EMNLP Tianyuan Shi, Liangzhi Li, Zijian Lin, Tao Yang, Xiaojun Quan, Qifan Wang
2023	J	`jnl`	Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems. CoRR Tianyuan Shi, Liangzhi Li, Zijian Lin, Tao Yang, Xiaojun Quan, Qifan Wang
2023	J	`jnl`	DualGNN: Dual Graph Neural Network for Multimedia Recommendation. IEEE Trans. Multim. Qifan Wang, Yinwei Wei, Jianhua Yin, Jianlong Wu, Xuemeng Song, Liqiang Nie
2023	A*	`conf`	E ICCV Cheng Han, Qifan Wang, Yiming Cui, Zhiwen Cao, Wenguan Wang, Siyuan Qi, Dongfang Liu
2023	J	`jnl`	E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning. CoRR Cheng Han, Qifan Wang, Yiming Cui, Zhiwen Cao, Wenguan Wang, Siyuan Qi, Dongfang Liu
2023	J	`jnl`	Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling. CoRR Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang
2023	J	`jnl`	FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods. CoRR Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu
2023	—	`conf`	FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models. ACL (Findings) Zhuo Zhang, Yuanhang Yang, Yong Dai, Qifan Wang, Yue Yu, Lizhen Qu, Zenglin Xu
2023	J	`jnl`	Federated Generalization via Information-Theoretic Distribution Diversification. CoRR Zheshun Wu, Zenglin Xu, Dun Zeng, Qifan Wang
2023	—	`conf`	Fusion or Defusion? Flexible Vision-and-Language Pre-Training. ACL (Findings) Rongyi Sun, Ziran Li, Yifeng Ding, Qifan Wang, Jingang Wang, Haitao Zheng, Wei Wu, Yunsen Xian
2023	—	`conf`	Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context. ACL (Findings) Moxin Li, Wenjie Wang, Fuli Feng, Hanwang Zhang, Qifan Wang, Tat-Seng Chua
2023	—	`conf`	Improving Input-label Mapping with Demonstration Replay for In-context Learning. EMNLP (Findings) Zhuocheng Gong, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan
2023	J	`jnl`	Improving Input-label Mapping with Demonstration Replay for In-context Learning. CoRR Zhuocheng Gong, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan
2023	J	`jnl`	Interactive active learning for fairness with partial group label. AI Open Zeyu Yang, Jizhi Zhang, Fuli Feng, Chongming Gao, Qifan Wang, Xiangnan He
2023	J	`jnl`	Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model. CoRR Shraman Pramanick, Guangxing Han, Rui Hou, Sayan Nag, Ser-Nam Lim, Nicolas Ballas, Qifan Wang, Rama Chellappa, Amjad Almahairi
2023	J	`jnl`	LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models. CoRR Chi Han, Qifan Wang, Wenhan Xiong, Yu Chen, Heng Ji, Sinong Wang
2023	J	`jnl`	MART: Improving LLM Safety with Multi-round Automatic Red-Teaming. CoRR Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao
2023	J	`jnl`	MMViT: Multiscale Multiview Vision Transformers. CoRR Yuchen Liu, Natasha Ong, Kaiyan Peng, Bo Xiong, Qifan Wang, Rui Hou, Madian Khabsa, Kaiyue Yang, David Liu, Donald S. Williamson, Hanchao Yu
2023	—	`conf`	MUSTIE: Multimodal Structural Transformer for Web Information Extraction. ACL (1) Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu
2023	—	`conf`	Meta-training with Demonstration Retrieval for Efficient Few-shot Learning. ACL (Findings) Aaron Mueller, Kanika Narang, Lambert Mathias, Qifan Wang, Hamed Firooz
2023	J	`jnl`	Meta-training with Demonstration Retrieval for Efficient Few-shot Learning. CoRR Aaron Mueller, Kanika Narang, Lambert Mathias, Qifan Wang, Hamed Firooz
2023	—	`conf`	MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction. ACL (Findings) Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu
2023	Misc	`conf`	Multi-Task Transformer with Relation-Attention and Type-Attention for Named Entity Recognition. ICASSP Ying Mo, Hongyin Tang, Jiahao Liu, Qifan Wang, Zenglin Xu, Jingang Wang, Wei Wu, Zhoujun Li
2023	J	`jnl`	Multi-task Transformer with Relation-attention and Type-attention for Named Entity Recognition. CoRR Ying Mo, Hongyin Tang, Jiahao Liu, Qifan Wang, Zenglin Xu, Jingang Wang, Wei Wu, Zhoujun Li
2023	J	`jnl`	On the Equivalence of Graph Convolution and Mixup. CoRR 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
2023	A*	`conf`	Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling. EMNLP Yuanhang Yang, Shiyi Qi, Chuanyi Liu, Qifan Wang, Cuiyun Gao, Zenglin Xu
2023	A*	`conf`	Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection. AAAI Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang
2023	—	`conf`	PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models. ACL (Findings) Zhuocheng Gong, Jiahao Liu, Qifan Wang, Yang Yang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Rui Yan
2023	J	`jnl`	PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models. CoRR Zhuocheng Gong, Jiahao Liu, Qifan Wang, Yang Yang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Rui Yan
2023	A*	`conf`	Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation. SIGIR Yulong Huang, Yang Zhang, Qifan Wang, Chenxu Wang, Fuli Feng
2023	J	`jnl`	Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation. CoRR Yulong Huang, Yang Zhang, Qifan Wang, Chenxu Wang, Fuli Feng
2023	A*	`conf`	Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning. IJCAI Liqi Yan, Cheng Han, Zenglin Xu, Dongfang Liu, Qifan Wang
2023	—	`conf`	PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection. EMNLP (Findings) Tao Yang, Tianyuan Shi, Fanqi Wan, Xiaojun Quan, Qifan Wang, Bingzhe Wu, Jiaxiang Wu
2023	J	`jnl`	PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection. CoRR Tao Yang, Tianyuan Shi, Fanqi Wan, Xiaojun Quan, Qifan Wang, Bingzhe Wu, Jiaxiang Wu
2023	—	`conf`	RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank. ACL (1) Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Kai Chen, Rui Yan
2023	J	`jnl`	RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank. CoRR Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Kai Chen, Rui Yan
2023	J	`jnl`	Recommendation Unlearning via Influence Function. CoRR Yang Zhang, ZhiYu Hu, Yimeng Bai, Fuli Feng, Jiancan Wu, Qifan Wang, Xiangnan He
2023	J	`jnl`	Representation Deficiency in Masked Language Modeling. CoRR Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer
2023	J	`jnl`	Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. CoRR Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz
2023	A*	`conf`	Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial? NeurIPS Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu, Qifan Wang, Hongning Wang, Haifeng Xu
2023	J	`jnl`	Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial? CoRR Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu, Qifan Wang, Hongning Wang, Haifeng Xu
2023	J	`jnl`	Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation. IEEE Trans. Big Data Chenxu Wang, Fuli Feng, Yang Zhang, Qifan Wang, Xunhan Hu, Xiangnan He
2023	J	`jnl`	Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity. CoRR Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu
2023	J	`jnl`	Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity. Trans. Mach. Learn. Res. Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu
2023	—	`conf`	Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression. EMNLP (Findings) Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Ran Wang, Rui Yan
2023	J	`jnl`	Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression. CoRR Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Ran Lucien Wang, Rui Yan
2023	—	`conf`	RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. EMNLP (Findings) Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa
2023	J	`jnl`	RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. CoRR Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa
2023	J	`jnl`	SVT: Supertoken Video Transformer for Efficient Video Understanding. CoRR Chenbin Pan, Rui Hou, Hanchao Yu, Qifan Wang, Senem Velipasalar, Madian Khabsa
2023	J	`jnl`	Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework With Spatio-Temporal Collaboration. IEEE Trans. Circuits Syst. Video Technol. Liqi Yan, Qifan Wang, Siqi Ma, Jingang Wang, Changbin Yu
2023	J	`jnl`	Stochastic Clustered Federated Learning. CoRR Dun Zeng, Xiangjing Hu, Shiyu Liu, Yue Yu, Qifan Wang, Zenglin Xu
2023	J	`jnl`	Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization. CoRR Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang
2023	A*	`conf`	The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models. EMNLP Jingyuan Qi, Zhiyang Xu, Ying Shen, Minqian Liu, Di Jin, Qifan Wang, Lifu Huang
2023	J	`jnl`	The Art of SOCRATIC QUESTIONING: Zero-shot Multimodal Reasoning with Recursive Thinking and Self-Questioning. CoRR Jingyuan Qi, Zhiyang Xu, Ying Shen, Minqian Liu, Di Jin, Qifan Wang, Lifu Huang
2023	A*	`conf`	TransFlow: Transformer as Flow Learner. CVPR Yawen Lu, Qifan Wang, Siqi Ma, Tong Geng, Yingjie Victor Chen, Huaijin G. Chen, Dongfang Liu
2023	J	`jnl`	TransFlow: Transformer as Flow Learner. CoRR Yawen Lu, Qifan Wang, Siqi Ma, Tong Geng, Yingjie Victor Chen, Huaijin G. Chen, Dongfang Liu
2023	A*	`conf`	Unified 3D Segmenter As Prototypical Classifiers. NeurIPS Zheyun Qin, Cheng Han, Qifan Wang, Xiushan Nie, Yilong Yin, Xiankai Lu
2023	J	`jnl`	mCL-NER: Cross-Lingual Named Entity Recognition via Multi-view Contrastive Learning. CoRR Ying Mo, Jian Yang, Jiahao Liu, Qifan Wang, Ruoyu Chen, Jingang Wang, Zhoujun Li
2022	A*	`conf`	AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning. NeurIPS Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang, Shaoliang Nie
2022	J	`jnl`	AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning. CoRR Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang, Shaoliang Nie
2022	J	`jnl`	AutoDisc: Automatic Distillation Schedule for Large Language Model Compression. CoRR Chen Zhang, Yang Yang, Qifan Wang, Jiahao Liu, Jingang Wang, Wei Wu, Dawei Song
2022	B	`conf`	Autoregressive Entity Generation for End-to-End Task-Oriented Dialog. COLING Guanhuan Huang, Xiaojun Quan, Qifan Wang
2022	J	`jnl`	Autoregressive Entity Generation for End-to-End Task-Oriented Dialog. CoRR Guanhuan Huang, Xiaojun Quan, Qifan Wang
2022	B	`conf`	CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations. COLING Borun Chen, Hongyin Tang, Jiahao Bu, Kai Zhang, Jingang Wang, Qifan Wang, Hai-Tao Zheng, Wei Wu, Liqian Yu
2022	J	`jnl`	CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations. CoRR Borun Chen, Hongyin Tang, Jingang Wang, Qifan Wang, Hai-Tao Zheng, Wei Wu, Liqian Yu
2022	J	`jnl`	COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation. CoRR Nan Wang, Shaoliang Nie, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang
2022	—	`conf`	Deep Partial Multiplex Network Embedding. WWW (Companion Volume) Qifan Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu
2022	J	`jnl`	Deep Partial Multiplex Network Embedding. CoRR Qifan Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu
2022	J	`jnl`	Fall Detection from Audios with Audio Transformers. CoRR Prabhjot Kaur, Qifan Wang, Weisong Shi
2022	A*	`conf`	Federated Model Decomposition with Private Vocabulary for Text Classification. EMNLP Zhuo Zhang, Xiangjing Hu, Lizhen Qu, Qifan Wang, Zenglin Xu
2022	A*	`conf`	GL-RG: Global-Local Representation Granularity for Video Captioning. IJCAI Liqi Yan, Qifan Wang, Yiming Cui, Fuli Feng, Xiaojun Quan, Xiangyu Zhang, Dongfang Liu
2022	J	`jnl`	GL-RG: Global-Local Representation Granularity for Video Captioning. CoRR Liqi Yan, Qifan Wang, Yiming Cui, Fuli Feng, Xiaojun Quan, Xiangyu Zhang, Dongfang Liu
2022	J	`jnl`	Graph convolution machine for context-aware recommender system. Frontiers Comput. Sci. Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, Xing Xie
2022	J	`jnl`	Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler. CoRR Yifang Chen, Karthik Abinav Sankararaman, Alessandro Lazaric, Matteo Pirotta, Dmytro Karamshuk, Qifan Wang, Karishma Mandyam, Sinong Wang, Han Fang
2022	A*	`conf`	Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation. EMNLP Qifan Wang, Li Yang, Xiaojun Quan, Fuli Feng, Dongfang Liu, Zenglin Xu, Sinong Wang, Hao Ma
2022	A	`conf`	MAVE: A Product Dataset for Multi-source Attribute Value Extraction. WSDM Li Yang, Qifan Wang, Zac Yu, Anand Kulkarni, Sumit Sanghai, Bin Shu, Jon Elsas, Bhargav Kanagal
2022	J	`jnl`	Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling. CoRR Yuanhang Yang, Shiyi Qi, Cuiyun Gao, Zenglin Xu, Yulan He, Qifan Wang, Chuanyi Liu
2022	J	`jnl`	Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation. CoRR Chenxu Wang, Fuli Feng, Yang Zhang, Qifan Wang, Xunhan Hu, Xiangnan He
2022	—	`conf`	SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction. EMNLP (Findings) Qifan Wang, Li Yang, Jingang Wang, Jitin Krishnan, Bo Dai, Sinong Wang, Zenglin Xu, Madian Khabsa, Hao Ma
2022	J	`jnl`	Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework with Spatio-Temporal Collaboration. CoRR Liqi Yan, Qifan Wang, Siqi Ma, Jingang Wang, Changbin Yu
2022	—	`conf`	Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian. ECCV (12) Zhiwen Cao, Dongfang Liu, Qifan Wang, Yingjie Victor Chen
2022	J	`jnl`	Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian. CoRR Zhiwen Cao, Dongfang Liu, Qifan Wang, Yingjie Victor Chen
2022	A*	`conf`	VIRT: Improving Representation-based Text Matching via Virtual Interaction. EMNLP Dan Li, Yang Yang, Hongyin Tang, Jiahao Liu, Qifan Wang, Jingang Wang, Tong Xu, Wei Wu, Enhong Chen
2022	J	`jnl`	Video Captioning Using Global-Local Representation. IEEE Trans. Circuits Syst. Video Technol. Liqi Yan, Siqi Ma, Qifan Wang, Yingjie Victor Chen, Xiangyu Zhang, Andreas E. Savakis, Dongfang Liu
2022	A*	`conf`	WebFormer: The Web-page Transformer for Structure Information Extraction. WWW Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu
2022	J	`jnl`	WebFormer: The Web-page Transformer for Structure Information Extraction. CoRR Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu
2022	A*	`conf`	XPrompt: Exploring the Extreme of Prompt Tuning. EMNLP Fang Ma, Chen Zhang, Lei Ren, Jingang Wang, Qifan Wang, Wei Wu, Xiaojun Quan, Dawei Song
2022	J	`jnl`	XPrompt: Exploring the Extreme of Prompt Tuning. CoRR Fang Ma, Chen Zhang, Lei Ren, Jingang Wang, Qifan Wang, Wei Wu, Xiaojun Quan, Dawei Song
2021	J	`jnl`	MAVE: A Product Dataset for Multi-source Attribute Value Extraction. CoRR Li Yang, Qifan Wang, Zac Yu, Anand Kulkarni, Sumit Sanghai, Bin Shu, Jon Elsas, Bhargav Kanagal
2021	A*	`conf`	Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method. SIGIR Fuli Feng, Weiran Huang, Xiangnan He, Xin Xin, Qifan Wang, Tat-Seng Chua
2020	A*	`conf`	Big Bird: Transformers for Longer Sequences. NeurIPS Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed
2020	J	`jnl`	Big Bird: Transformers for Longer Sequences. CoRR Manzil Zaheer, Guru Guruganesh, Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed
2020	J	`jnl`	CatGCN: Graph Convolutional Networks with Categorical Node Features. CoRR Weijian Chen, Fuli Feng, Qifan Wang, Xiangnan He, Chonggang Song, Guohui Ling, Yongdong Zhang
2020	—	`conf`	ETC: Encoding Long and Structured Inputs in Transformers. EMNLP (1) Joshua Ainslie, Santiago Ontañón, Chris Alberti, Vaclav Cvicek, Zachary Fisher, Philip Pham, Anirudh Ravula, Sumit Sanghai, Qifan Wang, Li Yang
2020	J	`jnl`	Graph Convolution Machine for Context-aware Recommender System. CoRR Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, Xing Xie, Yongdong Zhang
2020	A*	`conf`	Learning to Extract Attribute Value from Product via Question Answering: A Multi-task Approach. KDD Qifan Wang, Li Yang, Bhargav Kanagal, Sumit Sanghai, D. Sivakumar, Bin Shu, Zac Yu, Jon Elsas
2019	A	`conf`	Constructing a Comprehensive Events Database from the Web. CIKM Qifan Wang, Bhargav Kanagal, Vijay Garg, D. Sivakumar
2017	A*	`conf`	Instance-Level Label Propagation with Multi-Instance Learning. IJCAI Qifan Wang, Gal Chechik, Chen Sun, Bin Shen
2016	J	`jnl`	Elastic net regularized dictionary learning for image classification. Multim. Tools Appl. Bin Shen, Bao-Di Liu, Qifan Wang
2016	J	`jnl`	General, Nested, and Constrained Wiberg Minimization. IEEE Trans. Pattern Anal. Mach. Intell. Dennis Strelow, Qifan Wang, Luo Si, Anders P. Eriksson
2016	A*	`conf`	Learning for Efficient Supervised Query Expansion via Two-stage Feature Selection. SIGIR Zhiwei Zhang, Qifan Wang, Luo Si, Jianfeng Gao
2016	—	`conf`	One-Class Maximum Margin Matrix Factorization. IMAWM Bin Shen, Cheng Lu, Qifan Wang, Si Chen, Yan Yan
2015	A*	`conf`	An Entity Class-Dependent Discriminative Mixture Model for Cumulative Citation Recommendation. SIGIR Jingang Wang, Dandan Song, Qifan Wang, Zhiwei Zhang, Luo Si, Lejian Liao, Chin-Yew Lin
2015	A*	`conf`	Determining Expert Research Areas with Multi-Instance Learning of Hierarchical Multi-Label Classification Model. IJCAI Tao Wu, Qifan Wang, Zhiwei Zhang, Luo Si
2015	A	`conf`	LEAPS: Detecting Camouflaged Attacks with Statistical Learning Guided by Program Analysis. DSN Zhongshu Gu, Kexin Pei, Qifan Wang, Luo Si, Xiangyu Zhang, Dongyan Xu
2015	J	`jnl`	Latent Discriminative Models for Social Emotion Detection with Emotional Dependency. ACM Trans. Inf. Syst. Xiaojun Quan, Qifan Wang, Ying Zhang, Luo Si, Wenyin Liu
2015	—	`—`	Learning compact hashing codes with complex objectives from multiple sources for large scale similarity search Qifan Wang
2015	A*	`conf`	Learning to Hash on Partial Multi-Modal Data. IJCAI Qifan Wang, Luo Si, Bin Shen
2015	A*	`conf`	Learning to Hash on Structured Data. AAAI Qifan Wang, Luo Si, Bin Shen
2015	—	`conf`	Piecewise linear dimension reduction for nonnegative data. IMAWM Bin Shen, Qifan Wang, Jan P. Allebach
2015	A*	`conf`	Ranking Preserving Hashing for Fast Similarity Search. IJCAI Qifan Wang, Zhiwei Zhang, Luo Si
2015	A*	`conf`	SP-SVM: Large Margin Classifier for Data on Multiple Manifolds. AAAI Bin Shen, Bao-Di Liu, Qifan Wang, Yi Fang, Jan P. Allebach
2014	A*	`conf`	Active hashing with joint data example and tag selection. SIGIR Qifan Wang, Luo Si, Zhiwei Zhang, Ning Zhang
2014	A*	`conf`	Adaptive Knowledge Transfer for Multiple Instance Learning in Image Classification. AAAI Qifan Wang, Lingyun Ruan, Luo Si
2014	—	`conf`	Binary Codes Embedding for Fast Image Tagging with Incomplete Labels. ECCV (2) Qifan Wang, Bin Shen, Shumiao Wang, Liang Li, Luo Si
2014	A*	`conf`	Cross-domain and cross-category emotion tagging for comments of online news. SIGIR Ying Zhang, Ning Zhang, Luo Si, Yanshan Lu, Qifan Wang, Xiaojie Yuan
2014	—	`conf`	Learning to Hash with Partial Tags: Exploring Correlation between Tags and Hashing Bits for Large Scale Image Retrieval. ECCV (3) Qifan Wang, Luo Si, Dan Zhang
2014	A*	`conf`	Preference preserving hashing for efficient recommendation. SIGIR Zhiwei Zhang, Qifan Wang, Lingyun Ruan, Luo Si
2014	B	`conf`	Robust nonnegative matrix factorization via L1 norm regularization by multiplicative updating rules. ICIP Bin Shen, Bao-Di Liu, Qifan Wang, Rongrong Ji
2014	A	`conf`	Sparse Semantic Hashing for Efficient Large Scale Similarity Search. CIKM Qifan Wang, Bin Shen, Zhiwei Zhang, Luo Si
2013	A	`conf`	Learning compact hashing codes for efficient tag completion and prediction. CIKM Qifan Wang, Lingyun Ruan, Zhiwei Zhang, Luo Si
2013	A*	`conf`	Semantic hashing using tags and topic modeling. SIGIR Qifan Wang, Dan Zhang, Luo Si
2013	A	`conf`	Weighted hashing for fast large scale similarity search. CIKM Qifan Wang, Dan Zhang, Luo Si
2012	—	`conf`	A Discriminative Data-Dependent Mixture-Model Approach for Multiple Instance Learning in Image Classification. ECCV (4) Qifan Wang, Luo Si, Dan Zhang
2011	—	`conf`	A robust one-class bayesian approach for masquerade detection. AISec Qifan Wang, Luo Si
2011	—	`conf`	Query Expansion and Message-Passing Algorithms for TREC Microblog Track. TREC Dzung Hong, Qifan Wang, Dan Zhang, Luo Si
2010	—	`conf`	A Globally Optimal Approach for 3D Elastic Motion Estimation from Stereo Sequences. ECCV (4) Qifan Wang, Linmi Tao, Huijun Di