• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 460 matches

• 2025
• 
  Nengqi Wu, Honglei Wang, Mingyi Peng, Jiaju Wang, Qiwei Lu:
  Voltage-based fault arc detection based on PCA-RF. Int. J. Circuit Theory Appl. 53(2): 933-947 (2025)
• 
  Siliang Zeng, Mingyi Hong, Alfredo García:
  Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees. Oper. Res. 73(2): 720-737 (2025)
• 
  Hongjun Li, Mingyi Chen:
  A novel spatio-temporal memory network for video anomaly detection. Multim. Tools Appl. 84(8): 4603-4624 (2025)
• 
  Thomas Pethick, Parameswaran Raman, Lenon Minorics, Mingyi Hong, Shoham Sabach, Volkan Cevher:
  νSAM: Memory-Efficient Sharpness-Aware Minimization via Nuclear Norm Constraints. Trans. Mach. Learn. Res. 2025 (2025)
• 
  Zhipeng Huang, Wangbo Yu, Xinhua Cheng, ChengShu Zhao, Yunyang Ge, Mingyi Guo, Li Yuan, Yonghong Tian:
  RoomPainter: View-Integrated Diffusion for Consistent Indoor Scene Texturing. CVPR 2025: 574-584
• 
  Xinwei Zhang, Zhiqi Bu, Borja Balle, Mingyi Hong, Meisam Razaviyayn, Vahab Mirrokni:
  DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction. ICLR 2025
• 
  Chenliang Li, Siliang Zeng, Zeyi Liao, Jiaxiang Li, Dongyeop Kang, Alfredo García, Mingyi Hong:
  Joint Reward and Policy Learning with Demonstrations and Human Feedback Improves Alignment. ICLR 2025
• 
  Siyan Zhao, Mingyi Hong, Yang Liu, Devamanyu Hazarika, Kaixiang Lin:
  Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs. ICLR 2025
• 
  Xiaomeng Jin, Zhiqi Bu, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Mingyi Hong:
  Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate. NAACL (Long Papers) 2025: 11278-11294
• 
  Shao-En Lin, Brian Liu, Miao-Chen Chiang, Ming-Yi Hong, Yu-Shiang Huang, Chuan-Ju Wang, Che Lin:
  BETag: Behavior-enhanced Item Tagging with Finetuned Large Language Models. WWW 2025: 4996-5009
• 
  Berke Ugurlu, Ming-Yi Hong, Che Lin:
  Style4Rec: Enhancing Transformer-based E-commerce Recommendation Systems with Style and Shopping Cart Information. CoRR abs/2501.09354 (2025)
• 
  Han Zhong, Yutong Yin, Shenao Zhang, Xiaojun Xu, Yuanxin Liu, Yifei Zuo, Zhihan Liu, Boyi Liu, Sirui Zheng, Hongyi Guo, Liwei Wang, Mingyi Hong, Zhaoran Wang:
  BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning. CoRR abs/2501.18858 (2025)
• 
  Chongyu Fan, Jinghan Jia, Yihua Zhang, Anil Ramakrishna, Mingyi Hong, Sijia Liu:
  Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond. CoRR abs/2502.05374 (2025)
• 
  Quan Wei, Chung-Yiu Yau, Hoi-To Wai, Yang Zhao, Dongyeop Kang, Youngsuk Park, Mingyi Hong:
  RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models. CoRR abs/2502.09003 (2025)
• 
  Siyan Zhao, Mingyi Hong, Yang Liu, Devamanyu Hazarika, Kaixiang Lin:
  Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs. CoRR abs/2502.09597 (2025)
• 
  Anil Ramakrishna, Yixin Wan, Xiaomeng Jin, Kai-Wei Chang, Zhiqi Bu, Bhanukiran Vinzamuri, Volkan Cevher, Mingyi Hong, Rahul Gupta:
  LUME: LLM Unlearning with Multitask Evaluations. CoRR abs/2502.15097 (2025)
• 
  Bingqing Song, Boran Han, Shuai Zhang, Hao Wang, Haoyang Fang, Bonan Min, Yuyang Wang, Mingyi Hong:
  Effectively Steer LLM To Follow Preference via Building Confident Directions. CoRR abs/2503.02989 (2025)
• 
  Siliang Zeng, Yao Liu, Huzefa Rangwala, George Karypis, Mingyi Hong, Rasool Fakoor:
  From Demonstrations to Rewards: Alignment Without Explicit Human Preferences. CoRR abs/2503.13538 (2025)
• 
  Ruijia Zhang, Siliang Zeng, Chenliang Li, Alfredo García, Mingyi Hong:
  Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality. CoRR abs/2503.17865 (2025)
• 
  Anil Ramakrishna, Yixin Wan, Xiaomeng Jin, Kai-Wei Chang, Zhiqi Bu, Bhanukiran Vinzamuri, Volkan Cevher, Mingyi Hong, Rahul Gupta:
  SemEval-2025 Task 4: Unlearning sensitive content from Large Language Models. CoRR abs/2504.02883 (2025)
• 
  Xin Li, Kun Yuan, Bingchen Li, Fengbin Guan, Yizhen Shao, Zihao Yu, Xijun Wang, Yiting Lu, Wei Luo, Suhang Yao, Ming Sun, Chao Zhou, Zhibo Chen, Radu Timofte, Yabin Zhang, Ao-Xiang Zhang, Tianwu Zhi, Jianzhao Liu, Yang Li, Jingwen Xu, Yiting Liao, Yushen Zuo, Mingyang Wu, Renjie Li, Shengyun Zhong, Zhengzhong Tu, Yufan Liu, Xiangguang Chen, Zuowei Cao, Minhao Tang, Shan Liu, Kexin Zhang, Jingfen Xie, Yan Wang, Kai Chen, Shijie Zhao, Yunchen Zhang, Xiangkai Xu, Hong Gao, Ji Shi, Yiming Bao, Xiugang Dong, Xiangsheng Zhou, Yaofeng Tu, Ying Liang, Yiwen Wang, Xinning Chai, Yuxuan Zhang, Zhengxue Cheng, Yingsheng Qin, Yucai Yang, Rong Xie, Li Song, Wei Sun, Kang Fu, Linhan Cao, Dandan Zhu, Kaiwei Zhang, Yucheng Zhu, Zicheng Zhang, Menghan Hu, Xiongkuo Min, Guangtao Zhai, Zhi Jin, Jiawei Wu, Wei Wang, Wenjian Zhang, Yuhai Lan, Gaoxiong Yi, Hengyuan Na, Wang Luo, Di Wu, MingYin Bai, Jiawang Du, Zilong Lu, Zhenyu Jiang, Hui Zeng, Ziguan Cui, Zongliang Gan, Guijin Tang, Xinglin Xie, Kehuan Song, Xiaoqiang Lu, Licheng Jiao, Fang Liu, Xu Liu, Puhua Chen, Ha Thu Nguyen, Katrien De Moor, Seyed Ali Amirshahi, Mohamed-Chaker Larabi, Qi Tang, Linfeng He, Zhiyong Gao, Zixuan Gao, Guohua Zhang, Zhiye Huang, Yi Deng, Qingmiao Jiang, Lu Chen:
  NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Results. CoRR abs/2504.13131 (2025)
• 
  Ryan Koo, Ian Yang, Vipul Raheja, Mingyi Hong, Kwang-Sung Jun, Dongyeop Kang:
  Learning Explainable Dense Reward Shapes via Bayesian Optimization. CoRR abs/2504.16272 (2025)
• 
  Wenhao Li, Bo Jin, Mingyi Hong, Changhong Lu, Xiangfeng Wang:
  Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows. CoRR abs/2505.04354 (2025)
• 
  Bin Lei, Weitai Kang, Zijian Zhang, Winson Chen, Xi Xie, Shan Zuo, Mimi Xie, Ali Payani, Mingyi Hong, Yan Yan, Caiwen Ding:
  InfantAgent-Next: A Multimodal Generalist Agent for Automated Computer Interaction. CoRR abs/2505.10887 (2025)
• 
  Siliang Zeng, Quan Wei, William Brown, Oana Frunza, Yuriy Nevmyvaka, Mingyi Hong:
  Reinforcing Multi-Turn Reasoning in LLM Agents via Turn-Level Credit Assignment. CoRR abs/2505.11821 (2025)
• 
  Fangqiao Tian, An Luo, Jin Du, Xun Xian, Robert Specht, Ganghua Wang, Xuan Bi, Jiawei Zhou, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Rui Zhang, Zirui Liu, Mingyi Hong, Jie Ding:
  An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems. CoRR abs/2505.18397 (2025)
• 
  Athanasios Glentis, Jiaxiang Li, Qiulin Shang, Andi Han, Ioannis C. Tsaknakis, Quan Wei, Mingyi Hong:
  Scalable Parameter and Memory Efficient Pretraining for LLM: Recent Algorithmic Advances and Benchmarking. CoRR abs/2505.22922 (2025)
• 
  Jinghan Jia, Hadi Reisizadeh, Chongyu Fan, Nathalie Baracaldo, Mingyi Hong, Sijia Liu:
  EPiC: Towards Lossless Speedup for Reasoning Training through Edge-Preserving CoT Condensation. CoRR abs/2506.04205 (2025)
• 
  Hadi Reisizadeh, Jinghan Jia, Zhiqi Bu, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Sijia Liu, Mingyi Hong:
  BLUR: A Bi-Level Optimization Approach for LLM Unlearning. CoRR abs/2506.08164 (2025)
• 
  An Luo, Xun Xian, Jin Du, Fangqiao Tian, Ganghua Wang, Ming Zhong, Shengchun Zhao, Xuan Bi, Zirui Liu, Jiawei Zhou, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding:
  AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science. CoRR abs/2506.13992 (2025)

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