Wei Wei - RankMe

88 papers A* 17A 5B 2Misc 1Journal 44Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Ares: Adaptive Reasoning Effort Selection for Efficient LLM Agents. CoRR Jingbo Yang, Bairu Hou, Wei Wei, Yujia Bao, Shiyu Chang
2026	J	`jnl`	DDL2PropBank Agent: Benchmarking Multi-Agent Frameworks' Developer Experience Through a Novel Relational Schema Mapping Task. CoRR Shafiuddin Rehan Ahmed, Wei Wei
2026	J	`jnl`	HumanLM: Simulating Users with State Alignment Beats Response Imitation. CoRR Shirley Wu, Evelyn Choi, Arpandeep Khatua, Zhanghan Wang, Joy He-Yueya, Tharindu Cyril Weerasooriya, Wei Wei, Diyi Yang, Jure Leskovec, James Zou
2026	A*	`conf`	ProRefine: Inference-Time Prompt Refinement with Textual Feedback (Student Abstract). AAAI Deepak Pandita, Tharindu Cyril Weerasooriya, Ankit Shah, Isabelle Diana May-Xin Ng, Christopher M. Homan, Wei Wei
2026	J	`jnl`	Training-Free Agentic AI: Probabilistic Control and Coordination in Multi-Agent LLM Systems. CoRR Mohammad-Parsa Hosseini, Ankit Shah, Saiyra Qureshi, Alex Huang, Connie Miao, Wei Wei
2025	J	`jnl`	Collaborative Memory: Multi-User Memory Sharing in LLM Agents with Dynamic Access Control. CoRR Alireza Rezazadeh, Zichao Li, Ange Lou, Yuying Zhao, Wei Wei, Yujia Bao
2025	—	`conf`	Enhancing Retrieval Systems with Inference-Time Logical Reasoning. ACL (2) Felix Faltings, Wei Wei, Yujia Bao
2025	J	`jnl`	Enhancing Retrieval Systems with Inference-Time Logical Reasoning. CoRR Felix Faltings, Wei Wei, Yujia Bao
2025	J	`jnl`	Enhancing Retrieval for ESGLLM via ESG-CID - A Disclosure Content Index Finetuning Dataset for Mapping GRI and ESRS. CoRR Shafiuddin Rehan Ahmed, Ankit Parag Shah, Quan Hung Tran, Vivek Khetan, Sukryool Kang, Ankit Mehta, Yujia Bao, Wei Wei
2025	A*	`conf`	From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs. ICLR Alireza Rezazadeh, Zichao Li, Wei Wei, Yujia Bao
2025	J	`jnl`	H-CoT: Hijacking the Chain-of-Thought Safety Reasoning Mechanism to Jailbreak Large Reasoning Models, Including OpenAI o1/o3, DeepSeek-R1, and Gemini 2.0 Flash Thinking. CoRR Martin Kuo, Jianyi Zhang, Aolin Ding, Qinsi Wang, Louis DiValentin, Yujia Bao, Wei Wei, Hai Li, Yiran Chen
2025	A*	`conf`	Improving Data Efficiency via Curating LLM-Driven Rating Systems. ICLR Jinlong Pang, Jiaheng Wei, Ankit Shah, Zhaowei Zhu, Yaxuan Wang, Chen Qian, Yang Liu, Yujia Bao, Wei Wei
2025	B	`conf`	Improving LLM Retrieval with GraphRAG-SF: Semantic Filtering for Graph-Based RAG Systems. IEEE Big Data Mohammad-Parsa Hosseini, Ankit Shah, Connie Miao, Wei Wei
2025	J	`jnl`	KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse. CoRR Jingbo Yang, Bairu Hou, Wei Wei, Yujia Bao, Shiyu Chang
2025	A*	`conf`	LLM Unlearning via Loss Adjustment with Only Forget Data. ICLR Yaxuan Wang, Jiaheng Wei, Chris Yuhao Liu, Jinlong Pang, Quan Liu, Ankit Shah, Yujia Bao, Yang Liu, Wei Wei
2025	J	`jnl`	MultiGA: Leveraging Multi-Source Seeding in Genetic Algorithms. CoRR Isabelle Diana May-Xin Ng, Tharindu Cyril Weerasooriya, Haitao Zhu, Wei Wei
2025	J	`jnl`	ProRefine: Inference-time Prompt Refinement with Textual Feedback. CoRR Deepak Pandita, Tharindu Cyril Weerasooriya, Ankit Parag Shah, Christopher M. Homan, Wei Wei
2025	J	`jnl`	SFT-GO: Supervised Fine-Tuning with Group Optimization for Large Language Models. CoRR Gyuhak Kim, Sumiran Thakur, Su Min Park, Wei Wei, Yujia Bao
2025	J	`jnl`	WebDART: Dynamic Decomposition and Re-planning for Complex Web Tasks. CoRR Jingbo Yang, Bairu Hou, Wei Wei, Shiyu Chang, Yujia Bao
2024	A*	`conf`	BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models. ICML Haotian Sun, Yuchen Zhuang, Wei Wei, Chao Zhang, Bo Dai
2024	J	`jnl`	BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models. CoRR Haotian Sun, Yuchen Zhuang, Wei Wei, Chao Zhang, Bo Dai
2024	J	`jnl`	From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs. CoRR Alireza Rezazadeh, Zichao Li, Wei Wei, Yujia Bao
2024	J	`jnl`	Harnessing Business and Media Insights with Large Language Models. CoRR Yujia Bao, Ankit Parag Shah, Neeru Narang, Jonathan Rivers, Rajeev Maksey, Lan Guan, Louise N. Barrere, Shelley Evenson, Rahul Basole, Connie Miao, Ankit Mehta, Fabien Boulay, Su Min Park, Natalie E. Pearson, Eldhose Joy, Tiger He, Sumiran Thakur, Koustav Ghosal, Josh On, Phoebe Morrison, Tim Major, Eva Siqi Wang, Gina Escobar, Jiaheng Wei, Tharindu Cyril Weerasooriya, Queena Song, Daria Lashkevich, Clare Chen, Gyuhak Kim, Dengpan Yin, Don Hejna, Mo Nomeli, Wei Wei
2024	J	`jnl`	Improving Data Efficiency via Curating LLM-Driven Rating Systems. CoRR Jinlong Pang, Jiaheng Wei, Ankit Parag Shah, Zhaowei Zhu, Yaxuan Wang, Chen Qian, Yang Liu, Yujia Bao, Wei Wei
2024	J	`jnl`	LLM Unlearning via Loss Adjustment with Only Forget Data. CoRR Yaxuan Wang, Jiaheng Wei, Chris Yuhao Liu, Jinlong Pang, Quan Liu, Ankit Parag Shah, Yujia Bao, Yang Liu, Wei Wei
2023	J	`jnl`	Document Entity Retrieval with Massive and Noisy Pre-training. CoRR Lijun Yu, Jin Miao, Xiaoyu Sun, Jiayi Chen, Alexander G. Hauptmann, Hanjun Dai, Wei Wei
2023	—	`conf`	DocumentNet: Bridging the Data Gap in Document Pre-training. EMNLP (Industry Track) Lijun Yu, Jin Miao, Xiaoyu Sun, Jiayi Chen, Alexander G. Hauptmann, Hanjun Dai, Wei Wei
2023	—	`conf`	On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval. EMNLP (Findings) Jiayi Chen, Hanjun Dai, Bo Dai, Aidong Zhang, Wei Wei
2023	J	`jnl`	On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval. CoRR Jiayi Chen, Hanjun Dai, Bo Dai, Aidong Zhang, Wei Wei
2023	A*	`conf`	VRDU: A Benchmark for Visually-rich Document Understanding. KDD Zilong Wang, Yichao Zhou, Wei Wei, Chen-Yu Lee, Sandeep Tata
2022	J	`jnl`	A Benchmark for Structured Extractions from Complex Documents. CoRR Zilong Wang, Yichao Zhou, Wei Wei, Chen-Yu Lee, Sandeep Tata
2021	J	`jnl`	Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module. CoRR Wei-Cheng Tseng, Wei Wei, Da-Cheng Juan, Min Sun
2021	A*	`conf`	Overcoming Catastrophic Forgetting by Bayesian Generative Regularization. ICML Pei-Hung Chen, Wei Wei, Cho-Jui Hsieh, Bo Dai
2021	J	`jnl`	RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation. CoRR Yu Zhang, Wei Wei, Binxuan Huang, Kathleen M. Carley, Yan Zhang
2021	—	`conf`	Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach. EMNLP (1) Haoming Jiang, Bo Dai, Mengjiao Yang, Tuo Zhao, Wei Wei
2021	J	`jnl`	Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach. CoRR Haoming Jiang, Bo Dai, Mengjiao Yang, Wei Wei, Tuo Zhao
2021	A	`conf`	Variational Deep Knowledge Tracing for Language Learning. LAK Sherry Ruan, Wei Wei, James A. Landay
2020	—	`conf`	AirConcierge: Generating Task-Oriented Dialogue via Efficient Large-Scale Knowledge Retrieval. EMNLP (Findings) Chieh-Yang Chen, Pei-Hsin Wang, Shih-Chieh Chang, Da-Cheng Juan, Wei Wei, Jia-Yu Pan
2020	J	`jnl`	Calibrated BatchNorm: Improving Robustness Against Noisy Weights in Neural Networks. CoRR Li-Huang Tsai, Shih-Chieh Chang, Yu-Ting Chen, Jia-Yu Pan, Wei Wei, Da-Cheng Juan
2020	J	`jnl`	Contextual Temperature for Language Modeling. CoRR Pei-Hsin Wang, Sheng-Iou Hsieh, Shih-Chieh Chang, Yu-Ting Chen, Jia-Yu Pan, Wei Wei, Da-Chang Juan
2020	J	`jnl`	Differentiable Top-k Operator with Optimal Transport. CoRR Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister
2020	A*	`conf`	Differentiable Top-k with Optimal Transport. NeurIPS Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister
2020	A*	`conf`	InstaNAS: Instance-Aware Neural Architecture Search. AAAI An-Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan, Wei Wei, Min Sun
2020	A*	`conf`	Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization. NeurIPS Hung-Jen Chen, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun
2020	—	`conf`	Question Answering with Long Multiple-Span Answers. EMNLP (Findings) Ming Zhu, Aman Ahuja, Da-Cheng Juan, Wei Wei, Chandan K. Reddy
2020	—	`conf`	Remix: Rebalanced Mixup. ECCV Workshops (6) Hsin-Ping Chou, Shih-Chieh Chang, Jia-Yu Pan, Wei Wei, Da-Cheng Juan
2020	J	`jnl`	Remix: Rebalanced Mixup. CoRR Hsin-Ping Chou, Shih-Chieh Chang, Jia-Yu Pan, Wei Wei, Da-Cheng Juan
2019	A*	`conf`	A Hierarchical Attention Retrieval Model for Healthcare Question Answering. WWW Ming Zhu, Aman Ahuja, Wei Wei, Chandan K. Reddy
2019	A*	`conf`	COCO-GAN: Generation by Parts via Conditional Coordinating. ICCV Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen
2019	J	`jnl`	COCO-GAN: Generation by Parts via Conditional Coordinating. CoRR Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen
2019	—	`conf`	Complement Objective Training. ICLR (Poster) Hao-Yun Chen, Pei-Hsin Wang, Chun-Hao Liu, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan
2019	J	`jnl`	Complement Objective Training. CoRR Hao-Yun Chen, Pei-Hsin Wang, Chun-Hao Liu, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan
2019	—	`conf`	Evaluating and Enhancing the Robustness of Dialogue Systems: A Case Study on a Negotiation Agent. NAACL-HLT (1) Minhao Cheng, Wei Wei, Cho-Jui Hsieh
2019	—	`conf`	Hierarchical LSTM: Modeling Temporal Dynamics and Taxonomy in Location-Based Mobile Check-Ins. PAKDD (2) Chun-Hao Liu, Da-Cheng Juan, Xuan-An Tseng, Wei Wei, Yu-Ting Chen, Jia-Yu Pan, Shih-Chieh Chang
2019	A*	`conf`	Improving Adversarial Robustness via Guided Complement Entropy. ICCV Hao-Yun Chen, Jhao-Hong Liang, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan
2019	J	`jnl`	Improving Adversarial Robustness via Guided Complement Entropy. CoRR Hao-Yun Chen, Jhao-Hong Liang, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan
2019	J	`jnl`	Learning with Hierarchical Complement Objective. CoRR Hao-Yun Chen, Li-Huang Tsai, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan
2019	A*	`conf`	Meta Architecture Search. NeurIPS Albert E. Shaw, Wei Wei, Weiyang Liu, Le Song, Bo Dai
2019	J	`jnl`	Natural Adversarial Sentence Generation with Gradient-based Perturbation. CoRR Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, Cho-Jui Hsieh
2019	—	`conf`	On the Robustness of Self-Attentive Models. ACL (1) Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, Cho-Jui Hsieh
2019	J	`jnl`	Overcoming Catastrophic Forgetting by Generative Regularization. CoRR Patrick H. Chen, Wei Wei, Cho-Jui Hsieh, Bo Dai
2019	—	`ch.`	Thoracic Disease Identification and Localization with Limited Supervision. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei
2018	—	`conf`	DPP-Net: Device-Aware Progressive Search for Pareto-Optimal Neural Architectures. ECCV (11) Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun
2018	J	`jnl`	DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures. CoRR Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun
2018	—	`conf`	Escaping from Collapsing Modes in a Constrained Space. ECCV (7) Chia-Che Chang, Chieh Hubert Lin, Che-Rung Lee, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen
2018	J	`jnl`	Escaping from Collapsing Modes in a Constrained Space. CoRR Chia-Che Chang, Chieh Hubert Lin, Che-Rung Lee, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen
2018	J	`jnl`	InstaNAS: Instance-aware Neural Architecture Search. CoRR An-Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan, Wei Wei, Min Sun
2018	J	`jnl`	MONAS: Multi-Objective Neural Architecture Search using Reinforcement Learning. CoRR Chi-Hung Hsu, Shu-Huan Chang, Da-Cheng Juan, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Shih-Chieh Chang
2018	—	`conf`	PPP-Net: Platform-aware Progressive Search for Pareto-optimal Neural Architectures. ICLR (Workshop) Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun
2018	J	`jnl`	Searching Toward Pareto-Optimal Device-Aware Neural Architectures. CoRR An-Chieh Cheng, Jin-Dong Dong, Chi-Hung Hsu, Shu-Huan Chang, Min Sun, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan
2018	A	`conf`	Searching toward pareto-optimal device-aware neural architectures. ICCAD An-Chieh Cheng, Jin-Dong Dong, Chi-Hung Hsu, Shu-Huan Chang, Min Sun, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan
2018	A*	`conf`	Thoracic Disease Identification and Localization With Limited Supervision. CVPR Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei
2017	J	`jnl`	A Probabilistic Framework for Location Inference from Social Media. CoRR Yujie Qian, Jie Tang, Zhilin Yang, Binxuan Huang, Wei Wei, Kathleen M. Carley
2017	A*	`conf`	A Probabilistic Geographical Aspect-Opinion Model for Geo-Tagged Microblogs. ICDM Aman Ahuja, Wei Wei, Wei Lu, Kathleen M. Carley, Chandan K. Reddy
2017	J	`jnl`	Efficient Online Inference for Infinite Evolutionary Cluster models with Applications to Latent Social Event Discovery. CoRR Wei Wei, Kenneth Joseph, Kathleen M. Carley
2017	A	`conf`	Girls Rule, Boys Drool: Extracting Semantic and Affective Stereotypes from Twitter. CSCW Kenneth Joseph, Wei Wei, Kathleen M. Carley
2017	A	`conf`	RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation. CIKM Yu Zhang, Wei Wei, Binxuan Huang, Kathleen M. Carley, Yan Zhang
2017	J	`jnl`	Thoracic Disease Identification and Localization with Limited Supervision. CoRR Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei
2016	A*	`conf`	Exploring Patterns of Identity Usage in Tweets: A New Problem, Solution and Case Study. WWW Kenneth Joseph, Wei Wei, Kathleen M. Carley
2016	J	`jnl`	Exploring characteristics of suspended users and network stability on Twitter. Soc. Netw. Anal. Min. Wei Wei, Kenneth Joseph, Huan Liu, Kathleen M. Carley
2016	—	`ch.`	High-dimensional network analytics: mapping topic networks in Twitter data during the Arab Spring. Big Data over Networks Kathleen M. Carley, Wei Wei, Kenneth Joseph
2016	—	`conf`	Microblog Sentiment Topic Model. ICDM Workshops Aman Ahuja, Wei Wei, Kathleen M. Carley
2016	—	`—`	Probabilistic Models of Topics and Social Events. Wei Wei
2015	A	`conf`	A Bayesian Graphical Model to Discover Latent Events from Twitter. ICWSM Wei Wei, Kenneth Joseph, Wei Lo, Kathleen M. Carley
2015	Misc	`conf`	An agent-based model of edit wars in wikipedia: how and when is consensus reached. WSC Arun Kalyanasundaram, Wei Wei, Kathleen M. Carley, James D. Herbsleb
2015	J	`jnl`	Measuring Temporal Patterns in Dynamic Social Networks. ACM Trans. Knowl. Discov. Data Wei Wei, Kathleen M. Carley
2015	B	`conf`	The Fragility of Twitter Social Networks Against Suspended Users. ASONAM Wei Wei, Kenneth Joseph, Huan Liu, Kathleen M. Carley
2013	—	`conf`	An Agent-Based Model for Simultaneous Phone and SMS Traffic over Time. SBP Kenneth Joseph, Wei Wei, Kathleen M. Carley