Jingbo Shang

320 papers A* 59A 12Misc 5Journal 173Unranked 69
YearRankTypeTitle / Venue / Authors
2026 J jnl
AMPS: Adaptive Modality Preference Steering via Functional Entropy.
CoRR
Zihan Huang, Xintong Li, Rohan Surana, Tong Yu, Rui Wang, Julian J. McAuley, Jingbo Shang, Junda Wu
2026 J jnl
Codified Finite-state Machines for Role-playing.
CoRR
Letian Peng, Yupeng Hou, Kun Zhou, Jingbo Shang
2026 J jnl
Codified Foreshadowing-Payoff Text Generation.
CoRR
Longfei Yun, Kun Zhou, Yupeng Hou, Letian Peng, Jingbo Shang
2026 J jnl
Deriving Character Logic from Storyline as Codified Decision Trees.
CoRR
Letian Peng, Kun Zhou, Longfei Yun, Yupeng Hou, Jingbo Shang
2026 J jnl
How Well Does Generative Recommendation Generalize?
CoRR
Yijie Ding, Zitian Guo, Jiacheng Li, Letian Peng, Shuai Shao, Wei Shao, Xiaoqiang Luo, Luke Simon, Jingbo Shang, Julian J. McAuley, Yupeng Hou
2026 J jnl
SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes.
CoRR
Chuhan Wang, Xintong Li, Jennifer Yuntong Zhang, Junda Wu, Chengkai Huang, Lina Yao, Julian J. McAuley, Jingbo Shang
2026 J jnl
Stepwise Penalization for Length-Efficient Chain-of-Thought Reasoning.
CoRR
Xintong Li, Sha Li, Rongmei Lin, Hongye Jin, Linwei Li, Hejie Cui, Sarah Zhang, Chia-Yuan Chang, Kewei Cheng, Besnik Fetahu, Priyanka Nigam, Jingbo Shang, Bing Yin
2026 J jnl
SynPlanResearch-R1: Encouraging Tool Exploration for Deep Research with Synthetic Plans.
CoRR
Hansi Zeng, Zoey Li, Yifan Gao, Chenwei Zhang, Xiaoman Pan, Tao Yang, Fengran Mo, Jiacheng Lin, Xian Li, Jingbo Shang
2026 J jnl
Test-time Recursive Thinking: Self-Improvement without External Feedback.
CoRR
Yufan Zhuang, Chandan Singh, Liyuan Liu, Yelong Shen, Dinghuai Zhang, Jingbo Shang, Jianfeng Gao, Weizhu Chen
2026 J jnl
WS-GRPO: Weakly-Supervised Group-Relative Policy Optimization for Rollout-Efficient Reasoning.
CoRR
Gagan Mundada, Zihan Huang, Rohan Surana, Sheldon Yu, Jennifer Yuntong Zhang, Xintong Li, Tong Yu, Lina Yao, Jingbo Shang, Julian J. McAuley, Xiaojun Wu
2025 J jnl
A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models.
CoRR
Zhouhang Xie, Junda Wu, Yiran Shen, Yu Xia, Xintong Li, Aaron Chang, Ryan A. Rossi, Sachin Kumar, Bodhisattwa Prasad Majumder, Jingbo Shang, Prithviraj Ammanabrolu, Julian J. McAuley
2025 J jnl
A Tale of LLMs and Induced Small Proxies: Scalable Agents for Knowledge Mining.
CoRR
Sipeng Zhang, Longfei Yun, Zilong Wang, Jingbo Shang, Letian Peng
2025 J jnl
AI-native Memory 2.0: Second Me.
CoRR
Jiale Wei, Xiang Ying, Tao Gao, Fangyi Bao, Felix Tao, Jingbo Shang
2025 — conf
ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations.
NAACL (Long Papers)
Yichuan Li, Xinyang Zhang, Chenwei Zhang, Mao Li, Tianyi Liu, Pei Chen, Yifan Gao, Kyumin Lee, Kaize Ding, Zhengyang Wang, Zhihan Zhang, Jingbo Shang, Xian Li, Trishul Chilimbi
2025 J jnl
Active Learning for Direct Preference Optimization.
CoRR
Branislav Kveton, Xintong Li, Julian J. McAuley, Ryan A. Rossi, Jingbo Shang, Junda Wu, Tong Yu
2025 J jnl
Adaptation of Agentic AI.
CoRR
Pengcheng Jiang, Jiacheng Lin, Zhiyi Shi, Zifeng Wang, Luxi He, Yichen Wu, Ming Zhong, Peiyang Song, Qizheng Zhang, Heng Wang, Xueqiang Xu, Hanwen Xu, Pengrui Han, Dylan Zhang, Jiashuo Sun, Chaoqi Yang, Kun Qian, Tian Wang, Changran Hu, Manling Li, Quanzheng Li, Hao Peng, Sheng Wang, Jingbo Shang, Chao Zhang, Jiaxuan You, Liyuan Liu, Pan Lu, Yu Zhang, Heng Ji, Yejin Choi, Dawn Song, Jimeng Sun, Jiawei Han
2025 J jnl
Attention Reveals More Than Tokens: Training-Free Long-Context Reasoning with Attention-guided Retrieval.
CoRR
Yuwei Zhang, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang
2025 J jnl
AutoCode: LLMs as Problem Setters for Competitive Programming.
CoRR
Shang Zhou, Zihan Zheng, Kaiyuan Liu, Zeyu Shen, Zerui Cheng, Zexing Chen, Hansen He, Jianzhu Yao, Huanzhi Mao, Qiuyang Mang, Tianfu Fu, Beichen Li, Dongruixuan Li, Wenhao Chai, Zhuang Liu, Aleksandra Korolova, Peter Henderson, Natasha Jaques, Pramod Viswanath, Saining Xie, Jingbo Shang
2025 J jnl
Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection.
CoRR
Yuwei Zhang, Wenhao Yu, Shangbin Feng, Yifan Zhu, Letian Peng, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang
2025 J jnl
CTRLS: Chain-of-Thought Reasoning via Latent State-Transition.
CoRR
Junda Wu, Yuxin Xiong, Xintong Li, Zhengmian Hu, Tong Yu, Rui Wang, Xiang Chen, Jingbo Shang, Julian J. McAuley
2025 — conf
Can Language Models Follow Multiple Turns of Entangled Instructions?
EMNLP (Findings)
Chi Han, Xin Liu, Haodong Wang, Shiyang Li, Jingfeng Yang, Haoming Jiang, Zhengyang Wang, Qingyu Yin, Liang Qiu, Changlong Yu, Yifan Gao, Zheng Li, Bing Yin, Jingbo Shang, Heng Ji
2025 A* conf
CoMMIT: Coordinated Multimodal Instruction Tuning.
EMNLP
Xintong Li, Junda Wu, Tong Yu, Rui Wang, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Julian J. McAuley, Jingbo Shang
2025 J jnl
Codifying Character Logic in Role-Playing.
CoRR
Letian Peng, Jingbo Shang
2025 J jnl
Contamination Detection for VLMs using Multi-Modal Semantic Perturbation.
CoRR
Jaden Park, Mu Cai, Feng Yao, Jingbo Shang, Soochahn Lee, Yong Jae Lee
2025 J jnl
Contextual Inference From Sparse Shopping Transactions Based on Motif Patterns.
IEEE Trans. Knowl. Data Eng.
Jiayun Zhang, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang
2025 A* conf
Correlation and Navigation in the Vocabulary Key Representation Space of Language Models.
ICLR
Letian Peng, Chenyang An, Jingbo Shang
2025 — conf
Cuckoo: An IE Free Rider Hatched by Massive Nutrition in LLM's Nest.
ACL (1)
Letian Peng, Zilong Wang, Feng Yao, Jingbo Shang
2025 J jnl
Cuckoo: An IE Free Rider Hatched by Massive Nutrition in LLM's Nest.
CoRR
Letian Peng, Zilong Wang, Feng Yao, Jingbo Shang
2025 — conf
Direct Prompt Optimization with Continuous Representations.
ACL (1)
Yangkun Wang, Zihan Wang, Jingbo Shang
2025 — conf
Entangled Relations: Leveraging NLI and Meta-analysis to Enhance Biomedical Relation Extraction.
NAACL (Long Papers)
William Hogan, Jingbo Shang
2025 — conf
Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics.
EMNLP (Findings)
Sheldon Yu, Yuxin Xiong, Junda Wu, Xintong Li, Tong Yu, Xiang Chen, Ritwik Sinha, Jingbo Shang, Julian J. McAuley
2025 J jnl
Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics.
CoRR
Sheldon Yu, Yuxin Xiong, Junda Wu, Xintong Li, Tong Yu, Xiang Chen, Ritwik Sinha, Jingbo Shang, Julian J. McAuley
2025 J jnl
Finish First, Perfect Later: Test-Time Token-Level Cross-Validation for Diffusion Large Language Models.
CoRR
Runchu Tian, Junxia Cui, Xueqiang Xu, Feng Yao, Jingbo Shang
2025 J jnl
From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents.
CoRR
Weizhi Zhang, Yangning Li, Yuanchen Bei, Junyu Luo, Guancheng Wan, Liangwei Yang, Chenxuan Xie, Yuyao Yang, Wei-Chieh Huang, Chunyu Miao, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Yankai Chen, Chunkit Chan, Peilin Zhou, Xinyang Zhang, Chenwei Zhang, Jingbo Shang, Ming Zhang, Yangqiu Song, Irwin King, Philip S. Yu
2025 J jnl
FrontierCS: Evolving Challenges for Evolving Intelligence.
CoRR
Qiuyang Mang, Wenhao Chai, Zhifei Li, Huanzhi Mao, Shang Zhou, Alexander Du, Hanchen Li, Shu Liu, Edwin Chen, Yichuan Wang, Xieting Chu, Zerui Cheng, Yuan Xu, Tian Xia, Zirui Wang, Tianneng Shi, Jianzhu Yao, Yilong Zhao, Qizheng Zhang, Charlie Ruan, Zeyu Shen, Kaiyuan Liu, Runyuan He, Dong Xing, Zerui Li, Zirong Zeng, Yige Jiang, Lufeng Cheng, Ziyi Zhao, Youran Sun, Wesley Zheng, Meiyuwang Zhang, Ruyi Ji, Xuechang Tu, Zihan Zheng, Zexing Chen, Kangyang Zhou, Zhaozi Wang, Jingbang Chen, Aleksandra Korolova, Peter Henderson, Pramod Viswanath, Vijay Ganesh, Saining Xie, Zhuang Liu, Dawn Song, Sewon Min, Ion Stoica, Joseph E. Gonzalez, Jingbo Shang, Alvin Cheung
2025 J jnl
Importance Sampling for Multi-Negative Multimodal Direct Preference Optimization.
CoRR
Xintong Li, Chuhan Wang, Junda Wu, Rohan Surana, Tong Yu, Julian J. McAuley, Jingbo Shang
2025 J jnl
Learning to Solve and Verify: A Self-Play Framework for Code and Test Generation.
CoRR
Zi Lin, Sheng Shen, Jingbo Shang, Jason Weston, Yixin Nie
2025 J jnl
Linear Correlation in LM's Compositional Generalization and Hallucination.
CoRR
Letian Peng, Chenyang An, Shibo Hao, Chengyu Dong, Jingbo Shang
2025 J jnl
LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming?
CoRR
Zihan Zheng, Zerui Cheng, Zeyu Shen, Shang Zhou, Kaiyuan Liu, Hansen He, Dongruixuan Li, Stanley Wei, Hangyi Hao, Jianzhu Yao, Peiyao Sheng, Zixuan Wang, Wenhao Chai, Aleksandra Korolova, Peter Henderson, Sanjeev Arora, Pramod Viswanath, Jingbo Shang, Saining Xie
2025 Misc conf
Matching Skeleton-based Activity Representations with Heterogeneous Signals for HAR.
SenSys
Shuheng Li, Jiayun Zhang, Xiaohan Fu, Xiyuan Zhang, Jingbo Shang, Rajesh K. Gupta
2025 J jnl
Matching Skeleton-based Activity Representations with Heterogeneous Signals for HAR.
CoRR
Shuheng Li, Jiayun Zhang, Xiaohan Fu, Xiyuan Zhang, Jingbo Shang, Rajesh K. Gupta
2025 J jnl
Memorize or Generalize? Evaluating LLM Code Generation with Evolved Questions.
CoRR
Wentao Chen, Lizhe Zhang, Li Zhong, Letian Peng, Zilong Wang, Jingbo Shang
2025 — conf
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent.
EMNLP (Findings)
Junda Wu, Yuxin Xiong, Xintong Li, Yu Xia, Ruoyu Wang, Yu Wang, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Jingbo Shang, Julian J. McAuley
2025 J jnl
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent.
CoRR
Junda Wu, Yuxin Xiong, Xintong Li, Yu Xia, Ruoyu Wang, Yu Wang, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Jingbo Shang, Julian J. McAuley
2025 A* conf
OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models.
ICLR
Junda Wu, Xintong Li, Ruoyu Wang, Yu Xia, Yuxin Xiong, Jianing Wang, Tong Yu, Xiang Chen, Branislav Kveton, Lina Yao, Jingbo Shang, Julian J. McAuley
2025 J jnl
OmniInput: An Evaluation Framework for Deep Learning Models on Internet-Scale Data.
Trans. Mach. Learn. Res.
Weitang Liu, Yuelei Li, Ying Wai Li, Zihan Wang, Yi-Zhuang You, Jingbo Shang
2025 J jnl
Order Matters: Rethinking Prompt Construction in In-Context Learning.
CoRR
Warren Li, Yiqian Wang, Zihan Wang, Jingbo Shang
2025 J jnl
Orthogonal Calibration for Asynchronous Federated Learning.
CoRR
Jiayun Zhang, Shuheng Li, Haiyu Huang, Xiaofan Yu, Rajesh K. Gupta, Jingbo Shang
2025 J jnl
PersonaAgent: When Large Language Model Agents Meet Personalization at Test Time.
CoRR
Weizhi Zhang, Xinyang Zhang, Chenwei Zhang, Liangwei Yang, Jingbo Shang, Zhepei Wei, Henry Peng Zou, Zijie Huang, Zhengyang Wang, Yifan Gao, Xiaoman Pan, Lian Xiong, Jingguo Liu, Philip S. Yu, Xian Li
2025 J jnl
RRO: LLM Agent Optimization Through Rising Reward Trajectories.
CoRR
Zilong Wang, Jingfeng Yang, Sreyashi Nag, Samarth Varshney, Xianfeng Tang, Haoming Jiang, Jingbo Shang, Sheikh Muhammad Sarwar
2025 J jnl
ReMem: Mutual Information-Aware Fine-tuning of Pretrained Vision Transformers for Effective Knowledge Distillation.
CoRR
Chengyu Dong, Huan Gui, Noveen Sachdeva, Long Jin, Ke Yin, Jingbo Shang, Lichan Hong, Ed H. Chi, Zhe Zhao
2025 — conf
Self-Taught Agentic Long Context Understanding.
ACL (1)
Yufan Zhuang, Xiaodong Yu, Jialian Wu, Ximeng Sun, Ze Wang, Jiang Liu, Yusheng Su, Jingbo Shang, Zicheng Liu, Emad Barsoum
2025 J jnl
Self-Taught Agentic Long Context Understanding.
CoRR
Yufan Zhuang, Xiaodong Yu, Jialian Wu, Ximeng Sun, Ze Wang, Jiang Liu, Yusheng Su, Jingbo Shang, Zicheng Liu, Emad Barsoum
2025 A* conf
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting.
ICLR
Zilong Wang, Zifeng Wang, Long T. Le, Huaixiu Steven Zheng, Swaroop Mishra, Vincent Perot, Yuwei Zhang, Anush Mattapalli, Ankur Taly, Jingbo Shang, Chen-Yu Lee, Tomas Pfister
2025 J jnl
Text Generation Beyond Discrete Token Sampling.
CoRR
Yufan Zhuang, Liyuan Liu, Chandan Singh, Jingbo Shang, Jianfeng Gao
2025 — conf
The Price of Format: Diversity Collapse in LLMs.
EMNLP (Findings)
Longfei Yun, Chenyang An, Zilong Wang, Letian Peng, Jingbo Shang
2025 J jnl
The Price of Format: Diversity Collapse in LLMs.
CoRR
Longfei Yun, Chenyang An, Zilong Wang, Letian Peng, Jingbo Shang
2025 A* conf
Toward Multi-Session Personalized Conversation: A Large-Scale Dataset and Hierarchical Tree Framework for Implicit Reasoning.
EMNLP
Xintong Li, Jalend Bantupalli, Ria Dharmani, Yuwei Zhang, Jingbo Shang
2025 J jnl
Toward Multi-Session Personalized Conversation: A Large-Scale Dataset and Hierarchical Tree Framework for Implicit Reasoning.
CoRR
Xintong Li, Jalend Bantupalli, Ria Dharmani, Yuwei Zhang, Jingbo Shang
2025 — conf
Train a Unified Multimodal Data Quality Classifier with Synthetic Data.
EMNLP (Findings)
Weizhi Wang, Rongmei Lin, Shiyang Li, Colin Lockard, Ritesh Sarkhel, Sanket Lokegaonkar, Jingbo Shang, Xifeng Yan, Nasser Zalmout, Xian Li
2025 J jnl
Train a Unified Multimodal Data Quality Classifier with Synthetic Data.
CoRR
Weizhi Wang, Rongmei Lin, Shiyang Li, Colin Lockard, Ritesh Sarkhel, Sanket Lokegaonkar, Jingbo Shang, Xifeng Yan, Nasser Zalmout, Xian Li
2025 J jnl
Training Language Models to Generate Quality Code with Program Analysis Feedback.
CoRR
Feng Yao, Zilong Wang, Liyuan Liu, Junxia Cui, Li Zhong, Xiaohan Fu, Haohui Mai, Vish Krishnan, Jianfeng Gao, Jingbo Shang
2025 J jnl
Tuning LLMs by RAG Principles: Towards LLM-native Memory.
CoRR
Jiale Wei, Shuchi Wu, Ruochen Liu, Xiang Ying, Jingbo Shang, Fangbo Tao
2025 — conf
ULTRABENCH: Benchmarking LLMs under Extreme Fine-grained Text Generation.
EMNLP (Findings)
Longfei Yun, Letian Peng, Jingbo Shang
2025 J jnl
UltraGen: Extremely Fine-grained Controllable Generation via Attribute Reconstruction and Global Preference Optimization.
CoRR
Longfei Yun, Letian Peng, Jingbo Shang
2025 A* conf
Vector-ICL: In-context Learning with Continuous Vector Representations.
ICLR
Yufan Zhuang, Chandan Singh, Liyuan Liu, Jingbo Shang, Jianfeng Gao
2025 A* conf
VeriLocc: End-to-End Cross-Architecture Register Allocation via LLM.
EMNLP
Lesheng Jin, Zhenyuan Ruan, Haohui Mai, Jingbo Shang
2025 J jnl
VeriLocc: End-to-End Cross-Architecture Register Allocation via LLM.
CoRR
Lesheng Jin, Zhenyuan Ruan, Haohui Mai, Jingbo Shang
2025 J jnl
Watermarks for Language Models via Probabilistic Automata.
CoRR
Yangkun Wang, Jingbo Shang
2025 A* conf
ZeroHAR: Sensor Context Augments Zero-Shot Wearable Action Recognition.
AAAI
Ranak Roy Chowdhury, Ritvik Kapila, Ameya Panse, Xiyuan Zhang, Diyan Teng, Rashmi Kulkarni, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang
2024 J jnl
AI-native Memory: A Pathway from LLMs Towards AGI.
CoRR
Jingbo Shang, Zai Zheng, Xiang Ying, Felix Tao, Mindverse Team
2024 — conf
Answer is All You Need: Instruction-following Text Embedding via Answering the Question.
ACL (1)
Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang
2024 J jnl
Answer is All You Need: Instruction-following Text Embedding via Answering the Question.
CoRR
Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang
2024 — conf
Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph.
ACL (1)
Xiaochen Gao, Feng Yao, Kewen Zhao, Beilei He, Animesh Kumar, Vish Krishnan, Jingbo Shang
2024 J jnl
Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph.
CoRR
Xiaochen Gao, Feng Yao, Kewen Zhao, Beilei He, Animesh Kumar, Vish Krishnan, Jingbo Shang
2024 — conf
Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning.
ACL (1)
Yongqi Tong, Dawei Li, Sizhe Wang, Yujia Wang, Fei Teng, Jingbo Shang
2024 J jnl
Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning.
CoRR
Yongqi Tong, Dawei Li, Sizhe Wang, Yujia Wang, Fei Teng, Jingbo Shang
2024 A* conf
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding.
ICLR
Zilong Wang, Hao Zhang, Chun-Liang Li, Julian Martin Eisenschlos, Vincent Perot, Zifeng Wang, Lesly Miculicich, Yasuhisa Fujii, Jingbo Shang, Chen-Yu Lee, Tomas Pfister
2024 J jnl
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding.
CoRR
Zilong Wang, Hao Zhang, Chun-Liang Li, Julian Martin Eisenschlos, Vincent Perot, Zifeng Wang, Lesly Miculicich, Yasuhisa Fujii, Jingbo Shang, Chen-Yu Lee, Tomas Pfister
2024 — conf
CloudSheep System for WMT24 Discourse-Level Literary Translation.
WMT
Lisa Liu, Ryan Liu, Angela Tsai, Jingbo Shang
2024 J jnl
CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models.
CoRR
Junda Wu, Xintong Li, Tong Yu, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Jingbo Shang, Julian J. McAuley
2024 J jnl
Configurable Foundation Models: Building LLMs from a Modular Perspective.
CoRR
Chaojun Xiao, Zhengyan Zhang, Chenyang Song, Dazhi Jiang, Feng Yao, Xu Han, Xiaozhi Wang, Shuo Wang, Yufei Huang, Guanyu Lin, Yingfa Chen, Weilin Zhao, Yuge Tu, Zexuan Zhong, Ao Zhang, Chenglei Si, Moo Khai Hao, Chenyang Zhao, Huimin Chen, Yankai Lin, Zhiyuan Liu, Jingbo Shang, Maosong Sun
2024 — conf
Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation.
ACL (Findings)
Letian Peng, Yuwei Zhang, Jingbo Shang
2024 J jnl
Correlation and Navigation in the Vocabulary Key Representation Space of Language Models.
CoRR
Letian Peng, Chenyang An, Jingbo Shang
2024 — conf
DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering.
NAACL (Demonstrations)
Alex Nguyen, Zilong Wang, Jingbo Shang, Dheeraj Mekala
2024 J jnl
DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering.
CoRR
Alex Nguyen, Zilong Wang, Jingbo Shang, Dheeraj Mekala
2024 A* conf
Data Contamination Can Cross Language Barriers.
EMNLP
Feng Yao, Yufan Zhuang, Zihao Sun, Sunan Xu, Animesh Kumar, Jingbo Shang
2024 J jnl
Data Contamination Can Cross Language Barriers.
CoRR
Feng Yao, Yufan Zhuang, Zihao Sun, Sunan Xu, Animesh Kumar, Jingbo Shang
2024 — conf
Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step by Step.
ACL (Findings)
Li Zhong, Zilong Wang, Jingbo Shang
2024 J jnl
Entangled Relations: Leveraging NLI and Meta-analysis to Enhance Biomedical Relation Extraction.
CoRR
William Hogan, Jingbo Shang
2024 — conf
Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs.
ACL (Findings)
Shang Zhou, Feng Yao, Chengyu Dong, Zihan Wang, Jingbo Shang
2024 J jnl
Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs.
CoRR
Shang Zhou, Feng Yao, Chengyu Dong, Zihan Wang, Jingbo Shang
2024 A* conf
Fast-ELECTRA for Efficient Pre-training.
ICLR
Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu
2024 A* conf
How Few Davids Improve One Goliath: Federated Learning in Resource-Skewed Edge Computing Environments.
WWW
Jiayun Zhang, Shuheng Li, Haiyu Huang, Zihan Wang, Xiaohan Fu, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang
2024 A* conf
Incubating Text Classifiers Following User Instruction with Nothing but LLM.
EMNLP
Letian Peng, Zilong Wang, Jingbo Shang
2024 J jnl
Incubating Text Classifiers Following User Instruction with Nothing but LLM.
CoRR
Letian Peng, Jingbo Shang
2024 J jnl
LDB: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step.
CoRR
Lily Zhong, Zilong Wang, Jingbo Shang
2024 A* conf
Large Language Models for Time Series: A Survey.
IJCAI
Xiyuan Zhang, Ranak Roy Chowdhury, Rajesh K. Gupta, Jingbo Shang
2024 J jnl
Large Language Models for Time Series: A Survey.
CoRR
Xiyuan Zhang, Ranak Roy Chowdhury, Rajesh K. Gupta, Jingbo Shang
2024 J jnl
Learn from Failure: Fine-Tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving.
CoRR
Chenyang An, Zhibo Chen, Qihao Ye, Emily First, Letian Peng, Jiayun Zhang, Zihan Wang, Sorin Lerner, Jingbo Shang
2024 — conf
Learn from Failure: Fine-tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving.
ACL (1)
Chenyang An, Zhibo Chen, Qihao Ye, Emily First, Letian Peng, Jiayun Zhang, Zihan Wang, Sorin Lerner, Jingbo Shang
2024 J jnl
Learning a Decision Tree Algorithm with Transformers.
CoRR
Yufan Zhuang, Liyuan Liu, Chandan Singh, Jingbo Shang, Jianfeng Gao
2024 J jnl
Learning a Decision Tree Algorithm with Transformers.
Trans. Mach. Learn. Res.
Yufan Zhuang, Liyuan Liu, Chandan Singh, Jingbo Shang, Jianfeng Gao
2024 A* conf
MEMORYLLM: Towards Self-Updatable Large Language Models.
ICML
Yu Wang, Yifan Gao, Xiusi Chen, Haoming Jiang, Shiyang Li, Jingfeng Yang, Qingyu Yin, Zheng Li, Xian Li, Bing Yin, Jingbo Shang, Julian J. McAuley
2024 J jnl
MEMORYLLM: Towards Self-Updatable Large Language Models.
CoRR
Yu Wang, Xiusi Chen, Jingbo Shang, Julian J. McAuley
2024 J jnl
MedLM: Exploring Language Models for Medical Question Answering Systems.
CoRR
Niraj Yagnik, Jay Jhaveri, Vivek Sharma, Gabriel Pila, Asma Ben, Jingbo Shang
2024 J jnl
MetaIE: Distilling a Meta Model from LLM for All Kinds of Information Extraction Tasks.
CoRR
Letian Peng, Zilong Wang, Feng Yao, Zihan Wang, Jingbo Shang
2024 — conf
MiDRED: An Annotated Corpus for Microbiome Knowledge Base Construction.
BioNLP@ACL
William Hogan, Andrew Bartko, Jingbo Shang, Chun-Nan Hsu
2024 J jnl
Model-diff: A Tool for Comparative Study of Language Models in the Input Space.
CoRR
Weitang Liu, Yuelei Li, Ying Wai Li, Zihan Wang, Jingbo Shang
2024 — conf
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision.
EMNLP (Findings)
Zihan Wang, Yunxuan Li, Yuexin Wu, Liangchen Luo, Le Hou, Hongkun Yu, Jingbo Shang
2024 J jnl
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision.
CoRR
Zihan Wang, Yunxuan Li, Yuexin Wu, Liangchen Luo, Le Hou, Hongkun Yu, Jingbo Shang
2024 J jnl
Next-Token Prediction Task Assumes Optimal Data Ordering for LLM Training in Proof Generation.
CoRR
Chenyang An, Shima Imani, Feng Yao, Chengyu Dong, Ali Abbasi, Harsh Shrivastava, Samuel Buss, Jingbo Shang, Gayathri Mahalingam, Pramod Sharma, Maurice Diesendruck
2024 J jnl
OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models.
CoRR
Junda Wu, Xintong Li, Ruoyu Wang, Yu Xia, Yuxin Xiong, Jianing Wang, Tong Yu, Xiang Chen, Branislav Kveton, Lina Yao, Jingbo Shang, Julian J. McAuley
2024 J jnl
OfficeBench: Benchmarking Language Agents across Multiple Applications for Office Automation.
CoRR
Zilong Wang, Yuedong Cui, Li Zhong, Zimin Zhang, Da Yin, Bill Yuchen Lin, Jingbo Shang
2024 A* conf
Open-world Multi-label Text Classification with Extremely Weak Supervision.
EMNLP
Xintong Li, Jinya Jiang, Ria Dharmani, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang
2024 J jnl
Open-world Multi-label Text Classification with Extremely Weak Supervision.
CoRR
Xintong Li, Jinya Jiang, Ria Dharmani, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang
2024 J jnl
Optimizing Language Model's Reasoning Abilities with Weak Supervision.
CoRR
Yongqi Tong, Sizhe Wang, Dawei Li, Yifan Wang, Simeng Han, Zi Lin, Chengsong Huang, Jiaxin Huang, Jingbo Shang
2024 A* conf
Quantifying and Optimizing Global Faithfulness in Persona-driven Role-playing.
NeurIPS
Letian Peng, Jingbo Shang
2024 J jnl
Quantifying and Optimizing Global Faithfulness in Persona-driven Role-playing.
CoRR
Letian Peng, Jingbo Shang
2024 — conf
READ: Improving Relation Extraction from an ADversarial Perspective.
NAACL-HLT (Findings)
Dawei Li, William Hogan, Jingbo Shang
2024 J jnl
READ: Improving Relation Extraction from an ADversarial Perspective.
CoRR
Dawei Li, William Hogan, Jingbo Shang
2024 J jnl
RNR: Teaching Large Language Models to Follow Roles and Rules.
CoRR
Kuan Wang, Alexander Bukharin, Haoming Jiang, Qingyu Yin, Zhengyang Wang, Tuo Zhao, Jingbo Shang, Chao Zhang, Bing Yin, Xian Li, Jianshu Chen, Shiyang Li
2024 — conf
Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models.
ACL (Findings)
Dheeraj Mekala, Alex Nguyen, Jingbo Shang
2024 J jnl
Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models.
CoRR
Dheeraj Mekala, Alex Nguyen, Jingbo Shang
2024 J jnl
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting.
CoRR
Zilong Wang, Zifeng Wang, Long T. Le, Huaixiu Steven Zheng, Swaroop Mishra, Vincent Perot, Yuwei Zhang, Anush Mattapalli, Ankur Taly, Jingbo Shang, Chen-Yu Lee, Tomas Pfister
2024 — conf
Stronger, Lighter, Better: Towards Life-Long Attribute Value Extraction for E-Commerce Products.
ACL (Findings)
Tao Zhang, Chenwei Zhang, Xian Li, Jingbo Shang, Hoang Nguyen, Philip S. Yu
2024 — conf
TOOLVERIFIER: Generalization to New Tools via Self-Verification.
EMNLP (Findings)
Dheeraj Mekala, Jason Weston, Jack Lanchantin, Roberta Raileanu, Maria Lomeli, Jingbo Shang, Jane Dwivedi-Yu
2024 J jnl
TOOLVERIFIER: Generalization to New Tools via Self-Verification.
CoRR
Dheeraj Mekala, Jason Weston, Jack Lanchantin, Roberta Raileanu, Maria Lomeli, Jingbo Shang, Jane Dwivedi-Yu
2024 A* conf
Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification.
EMNLP
Letian Peng, Yi Gu, Chengyu Dong, Zihan Wang, Jingbo Shang
2024 J jnl
Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification.
CoRR
Letian Peng, Yi Gu, Chengyu Dong, Zihan Wang, Jingbo Shang
2024 A* conf
Toward Student-oriented Teacher Network Training for Knowledge Distillation.
ICLR
Chengyu Dong, Liyuan Liu, Jingbo Shang
2024 — conf
Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation.
LREC/COLING
Prashant Krishnan, Zilong Wang, Yangkun Wang, Jingbo Shang
2024 A* conf
UniMTS: Unified Pre-training for Motion Time Series.
NeurIPS
Xiyuan Zhang, Diyan Teng, Ranak Roy Chowdhury, Shuheng Li, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang
2024 J jnl
UniMTS: Unified Pre-training for Motion Time Series.
CoRR
Xiyuan Zhang, Diyan Teng, Ranak Roy Chowdhury, Shuheng Li, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang
2024 J jnl
Vector-ICL: In-context Learning with Continuous Vector Representations.
CoRR
Yufan Zhuang, Chandan Singh, Liyuan Liu, Jingbo Shang, Jianfeng Gao
2024 J jnl
Visual Prompting in Multimodal Large Language Models: A Survey.
CoRR
Junda Wu, Zhehao Zhang, Yu Xia, Xintong Li, Zhaoyang Xia, Aaron Chang, Tong Yu, Sungchul Kim, Ryan A. Rossi, Ruiyi Zhang, Subrata Mitra, Dimitris N. Metaxas, Lina Yao, Jingbo Shang, Julian J. McAuley
2024 J jnl
When is the consistent prediction likely to be a correct prediction?
CoRR
Alex Nguyen, Dheeraj Mekala, Chengyu Dong, Jingbo Shang
2023 — conf
A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches.
ACL (Findings)
Zihan Wang, Tianle Wang, Dheeraj Mekala, Jingbo Shang
2023 J jnl
A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches.
CoRR
Zihan Wang, Tianle Wang, Dheeraj Mekala, Jingbo Shang
2023 A* conf
ClusterLLM: Large Language Models as a Guide for Text Clustering.
EMNLP
Yuwei Zhang, Zihan Wang, Jingbo Shang
2023 J jnl
ClusterLLM: Large Language Models as a Guide for Text Clustering.
CoRR
Yuwei Zhang, Zihan Wang, Jingbo Shang
2023 — conf
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs.
ACL (Findings)
Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang
2023 J jnl
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs.
CoRR
Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang
2023 J jnl
Critique Ability of Large Language Models.
CoRR
Liangchen Luo, Zi Lin, Yinxiao Liu, Lei Shu, Yun Zhu, Jingbo Shang, Lei Meng
2023 J jnl
DAIL: Data Augmentation for In-Context Learning via Self-Paraphrase.
CoRR
Dawei Li, Yaxuan Li, Dheeraj Mekala, Shuyao Li, Yulin Wang, Xueqi Wang, William Hogan, Jingbo Shang
2023 A* conf
Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification.
EMNLP
Chengyu Dong, Zihan Wang, Jingbo Shang
2023 J jnl
Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification.
CoRR
Chengyu Dong, Zihan Wang, Jingbo Shang
2023 J jnl
Eliminating Reasoning via Inferring with Planning: A New Framework to Guide LLMs' Non-linear Thinking.
CoRR
Yongqi Tong, Yifan Wang, Dawei Li, Sizhe Wang, Zi Lin, Simeng Han, Jingbo Shang
2023 J jnl
EmojiLM: Modeling the New Emoji Language.
CoRR
Letian Peng, Zilong Wang, Hang Liu, Zihan Wang, Jingbo Shang
2023 J jnl
Fast-ELECTRA for Efficient Pre-training.
CoRR
Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu
2023 J jnl
Federated Learning with Client-Exclusive Classes.
CoRR
Jiayun Zhang, Xiyuan Zhang, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang
2023 J jnl
Generating Efficient Training Data via LLM-based Attribute Manipulation.
CoRR
Letian Peng, Yuwei Zhang, Jingbo Shang
2023 A* conf
Goal-Driven Explainable Clustering via Language Descriptions.
EMNLP
Zihan Wang, Jingbo Shang, Ruiqi Zhong
2023 J jnl
Goal-Driven Explainable Clustering via Language Descriptions.
CoRR
Zihan Wang, Jingbo Shang, Ruiqi Zhong
2023 A* conf
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space.
ICML
Weitang Liu, Yi-Zhuang You, Ying-Wai Li, Jingbo Shang
2023 J jnl
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space.
CoRR
Weitang Liu, Ying-Wai Li, Yi-Zhuang You, Jingbo Shang
2023 A* conf
Learning Concise and Descriptive Attributes for Visual Recognition.
ICCV
An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Yang Wang, Jingbo Shang, Julian J. McAuley
2023 J jnl
Learning Concise and Descriptive Attributes for Visual Recognition.
CoRR
An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Wang, Jingbo Shang, Julian J. McAuley
2023 — conf
Less than One-shot: Named Entity Recognition via Extremely Weak Supervision.
EMNLP (Findings)
Letian Peng, Zihan Wang, Jingbo Shang
2023 J jnl
Less than One-shot: Named Entity Recognition via Extremely Weak Supervision.
CoRR
Letian Peng, Zihan Wang, Jingbo Shang
2023 A* conf
Minimally Supervised Contextual Inference from Human Mobility: An Iterative Collaborative Distillation Framework.
IJCAI
Jiayun Zhang, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang
2023 J jnl
Modeling Label Semantics Improves Activity Recognition.
CoRR
Xiyuan Zhang, Ranak Roy Chowdhury, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang
2023 A* conf
Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework.
KDD
Jiayun Zhang, Xiyuan Zhang, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang
2023 J jnl
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification.
CoRR
Zi Lin, Jeremiah Z. Liu, Jingbo Shang
2023 J jnl
OMNIINPUT: A Model-centric Evaluation Framework through Output Distribution.
CoRR
Weitang Liu, Ying-Wai Li, Tianle Wang, Yi-Zhuang You, Jingbo Shang
2023 A* conf
On Compositional Uncertainty Quantification for Seq2seq Graph Parsing.
ICLR
Zi Lin, Du Phan, Panupong Pasupat, Jeremiah Zhe Liu, Jingbo Shang
2023 A* conf
Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting.
EMNLP
William Hogan, Jiacheng Li, Jingbo Shang
2023 J jnl
Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting.
CoRR
William Hogan, Jiacheng Li, Jingbo Shang
2023 — conf
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction.
ACL (Findings)
Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li
2023 J jnl
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction.
CoRR
Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li
2023 Misc conf
Physics-Informed Data Denoising for Real-Life Sensing Systems.
SenSys
Xiyuan Zhang, Xiaohan Fu, Diyan Teng, Chengyu Dong, Keerthivasan Vijayakumar, Jiayun Zhang, Ranak Roy Chowdhury, Junsheng Han, Dezhi Hong, Rashmi Kulkarni, Jingbo Shang, Rajesh K. Gupta
2023 J jnl
Physics-Informed Data Denoising for Real-Life Sensing Systems.
CoRR
Xiyuan Zhang, Xiaohan Fu, Diyan Teng, Chengyu Dong, Keerthivasan Vijayakumar, Jiayun Zhang, Ranak Roy Chowdhury, Junsheng Han, Dezhi Hong, Rashmi Kulkarni, Jingbo Shang, Rajesh Gupta
2023 A* conf
PrimeNet: Pre-training for Irregular Multivariate Time Series.
AAAI
Ranak Roy Chowdhury, Jiacheng Li, Xiyuan Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang
2023 — conf
Retrieval-Augmented Parsing for Complex Graphs by Exploiting Structure and Uncertainty.
EMNLP (Findings)
Zi Lin, Quan Yuan, Panupong Pasupat, Jeremiah Z. Liu, Jingbo Shang
2023 J jnl
Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models.
CoRR
An Yan, Yu Wang, Yiwu Zhong, Zexue He, Petros Karypis, Zihan Wang, Chengyu Dong, Amilcare Gentili, Chun-Nan Hsu, Jingbo Shang, Julian J. McAuley
2023 — conf
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank.
EMNLP (Findings)
Dheeraj Mekala, Adithya Samavedhi, Chengyu Dong, Jingbo Shang
2023 J jnl
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank.
CoRR
Dheeraj Mekala, Adithya Samavedhi, Chengyu Dong, Jingbo Shang
2023 A* conf
Text Is All You Need: Learning Language Representations for Sequential Recommendation.
KDD
Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian J. McAuley
2023 J jnl
Text Is All You Need: Learning Language Representations for Sequential Recommendation.
CoRR
Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian J. McAuley
2023 Misc conf
Towards Diverse and Coherent Augmentation for Time-Series Forecasting.
ICASSP
Xiyuan Zhang, Ranak Roy Chowdhury, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong
2023 J jnl
Towards Diverse and Coherent Augmentation for Time-Series Forecasting.
CoRR
Xiyuan Zhang, Ranak Roy Chowdhury, Jingbo Shang, Rajesh Gupta, Dezhi Hong
2023 J jnl
Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation.
CoRR
Prashant Krishnan, Zilong Wang, Yangkun Wang, Jingbo Shang
2023 — conf
Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach.
ACL (1)
Liyan Xu, Chenwei Zhang, Xian Li, Jingbo Shang, Jinho D. Choi
2023 J jnl
Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach.
CoRR
Liyan Xu, Chenwei Zhang, Xian Li, Jingbo Shang, Jinho D. Choi
2023 — conf
Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path.
EMNLP (Findings)
Zilong Wang, Jingbo Shang
2023 J jnl
Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path.
CoRR
Zilong Wang, Jingbo Shang
2023 — conf
ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation.
EMNLP (Findings)
Zi Lin, Zihan Wang, Yongqi Tong, Yangkun Wang, Yuxin Guo, Yujia Wang, Jingbo Shang
2023 J jnl
ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation.
CoRR
Zi Lin, Zihan Wang, Yongqi Tong, Yangkun Wang, Yuxin Guo, Yujia Wang, Jingbo Shang
2023 A* conf
UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation.
KDD
Jiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley
2023 A* conf
Understand and Modularize Generator Optimization in ELECTRA-style Pretraining.
ICML
Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu
2023 A conf
Unleashing the Power of Shared Label Structures for Human Activity Recognition.
CIKM
Xiyuan Zhang, Ranak Roy Chowdhury, Jiayun Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang
2023 A conf
WOT-Class: Weakly Supervised Open-world Text Classification.
CIKM
Tianle Wang, Zihan Wang, Weitang Liu, Jingbo Shang
2023 J jnl
WOT-Class: Weakly Supervised Open-world Text Classification.
CoRR
Tianle Wang, Zihan Wang, Weitang Liu, Jingbo Shang
2023 — conf
WavSpA: Wavelet Space Attention for Boosting Transformers' Long Sequence Learning Ability.
UniReps
Yufan Zhuang, Zihan Wang, Fangbo Tao, Jingbo Shang
2022 — conf
DeepViFi: detecting oncoviral infections in cancer genomes using transformers.
BCB
Utkrisht Rajkumar, Sara Javadzadeh, Mihir Bafna, Dongxia Wu, Rose Yu, Jingbo Shang, Vineet Bafna
2022 A conf
ESC-GAN: Extending Spatial Coverage of Physical Sensors.
WSDM
Xiyuan Zhang, Ranak Roy Chowdhury, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong
2022 A* conf
Fine-grained Contrastive Learning for Relation Extraction.
EMNLP
William Hogan, Jiacheng Li, Jingbo Shang
2022 J jnl
Fine-grained Contrastive Learning for Relation Extraction.
CoRR
William Hogan, Jiacheng Li, Jingbo Shang
2022 — conf
Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition.
EMNLP (Findings)
Zihan Wang, Kewen Zhao, Zilong Wang, Jingbo Shang
2022 J jnl
Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition.
CoRR
Zihan Wang, Kewen Zhao, Zilong Wang, Jingbo Shang
2022 J jnl
Intermediate Training on Question Answering Datasets Improves Generative Data Augmentation.
CoRR
Dheeraj Mekala, Tu Vu, Jingbo Shang
2022 — conf
LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification.
EMNLP (Findings)
Dheeraj Mekala, Chengyu Dong, Jingbo Shang
2022 J jnl
LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification.
CoRR
Dheeraj Mekala, Chengyu Dong, Jingbo Shang
2022 A* conf
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting.
NeurIPS
Chengyu Dong, Liyuan Liu, Jingbo Shang
2022 — conf
Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns.
ACL (Findings)
Zihan Wang, Jiuxiang Gu, Jason Kuen, Handong Zhao, Vlad I. Morariu, Ruiyi Zhang, Ani Nenkova, Tong Sun, Jingbo Shang
2022 A* conf
Leveraging QA Datasets to Improve Generative Data Augmentation.
EMNLP
Dheeraj Mekala, Tu Vu, Timo Schick, Jingbo Shang
2022 A* conf
MGDoc: Pre-training with Multi-granular Hierarchy for Document Image Understanding.
EMNLP
Zilong Wang, Jiuxiang Gu, Chris Tensmeyer, Nikolaos Barmpalios, Ani Nenkova, Tong Sun, Jingbo Shang, Vlad I. Morariu
2022 J jnl
MGDoc: Pre-training with Multi-granular Hierarchy for Document Image Understanding.
CoRR
Zilong Wang, Jiuxiang Gu, Chris Tensmeyer, Nikolaos Barmpalios, Ani Nenkova, Tong Sun, Jingbo Shang, Vlad I. Morariu
2022 A* conf
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification.
EMNLP
Zi Lin, Jeremiah Z. Liu, Jingbo Shang
2022 A* conf
OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision.
WWW
Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Luna Dong, Jingbo Shang, Christos Faloutsos, Jiawei Han
2022 J jnl
OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision.
CoRR
Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Luna Dong, Jingbo Shang, Christos Faloutsos, Jiawei Han
2022 — conf
Phrase-aware Unsupervised Constituency Parsing.
ACL (1)
Xiaotao Gu, Yikang Shen, Jiaming Shen, Jingbo Shang, Jiawei Han
2022 — conf
Progressive Sentiment Analysis for Code-Switched Text Data.
EMNLP (Findings)
Sudhanshu Ranjan, Dheeraj Mekala, Jingbo Shang
2022 J jnl
Progressive Sentiment Analysis for Code-Switched Text Data.
CoRR
Sudhanshu Ranjan, Dheeraj Mekala, Jingbo Shang
2022 Misc conf
SQEE: A Machine Perception Approach to Sensing Quality Evaluation at the Edge by Uncertainty Quantification.
SenSys
Shuheng Li, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong
2022 J jnl
SoTeacher: A Student-oriented Teacher Network Training Framework for Knowledge Distillation.
CoRR
Chengyu Dong, Liyuan Liu, Jingbo Shang
2022 A* conf
TARNet: Task-Aware Reconstruction for Time-Series Transformer.
KDD
Ranak Roy Chowdhury, Xiyuan Zhang, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong
2022 — conf
Towards Collaborative Neural-Symbolic Graph Semantic Parsing via Uncertainty.
ACL (Findings)
Zi Lin, Jeremiah Zhe Liu, Jingbo Shang
2022 — conf
Towards Comprehensive Patent Approval Predictions: Beyond Traditional Document Classification.
ACL (1)
Xiaochen Gao, Zhaoyi Hou, Yifei Ning, Kewen Zhao, Beilei He, Jingbo Shang, Vish Krishnan
2022 — conf
Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework.
ACL (Findings)
Zilong Wang, Jingbo Shang
2022 J jnl
Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework.
CoRR
Zilong Wang, Jingbo Shang
2022 J jnl
UCEpic: Unifying Aspect Planning and Lexical Constraints for Explainable Recommendation.
CoRR
Jiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley
2022 — conf
UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining.
ACL (1)
Jiacheng Li, Jingbo Shang, Julian J. McAuley
2022 J jnl
UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining.
CoRR
Jiacheng Li, Jingbo Shang, Julian J. McAuley
2022 A* conf
Unsupervised Deep Keyphrase Generation.
AAAI
Xianjie Shen, Yinghan Wang, Rui Meng, Jingbo Shang
2022 J jnl
Waveformer: Linear-Time Attention with Forward and Backward Wavelet Transform.
CoRR
Yufan Zhuang, Zihan Wang, Fangbo Tao, Jingbo Shang
2022 A* conf
WeDef: Weakly Supervised Backdoor Defense for Text Classification.
EMNLP
Lesheng Jin, Zihan Wang, Jingbo Shang
2022 J jnl
WeDef: Weakly Supervised Backdoor Defense for Text Classification.
CoRR
Lesheng Jin, Zihan Wang, Jingbo Shang
2021 — conf
"Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models.
EMNLP (1)
Zihan Wang, Chengyu Dong, Jingbo Shang
2021 J jnl
"Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models.
CoRR
Zihan Wang, Chengyu Dong, Jingbo Shang
2021 A conf
"Misc"-Aware Weakly Supervised Aspect Classification.
SDM
Peiran Li, Fang Guo, Jingbo Shang
2021 A* conf
AutoName: A Corpus-Based Set Naming Framework.
SIGIR
Zhiqi Huang, Razieh Rahimi, Puxuan Yu, Jingbo Shang, James Allan
2021 — conf
BFClass: A Backdoor-free Text Classification Framework.
EMNLP (Findings)
Zichao Li, Dheeraj Mekala, Chengyu Dong, Jingbo Shang
2021 J jnl
BFClass: A Backdoor-free Text Classification Framework.
CoRR
Zichao Li, Dheeraj Mekala, Chengyu Dong, Jingbo Shang
2021 — conf
Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data.
EMNLP (1)
Dheeraj Mekala, Varun Gangal, Jingbo Shang
2021 J jnl
Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data.
CoRR
Dheeraj Mekala, Varun Gangal, Jingbo Shang
2021 J jnl
Data Profiling for Adversarial Training: On the Ruin of Problematic Data.
CoRR
Chengyu Dong, Liyuan Liu, Jingbo Shang
2021 J jnl
Double Descent in Adversarial Training: An Implicit Label Noise Perspective.
CoRR
Chengyu Dong, Liyuan Liu, Jingbo Shang
2021 — conf
LayoutReader: Pre-training of Text and Layout for Reading Order Detection.
EMNLP (1)
Zilong Wang, Yiheng Xu, Lei Cui, Jingbo Shang, Furu Wei
2021 J jnl
LayoutReader: Pre-training of Text and Layout for Reading Order Detection.
CoRR
Zilong Wang, Yiheng Xu, Lei Cui, Jingbo Shang, Furu Wei
2021 A* conf
Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks.
WWW
Xinyang Zhang, Chenwei Zhang, Xin Luna Dong, Jingbo Shang, Jiawei Han
2021 J jnl
Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks.
CoRR
Xinyang Zhang, Chenwei Zhang, Xin Luna Dong, Jingbo Shang, Jiawei Han
2021 J jnl
News Meets Microblog: Hashtag Annotation via Retriever-Generator.
CoRR
Xiuwen Zheng, Dheeraj Mekala, Amarnath Gupta, Jingbo Shang
2021 — conf
Sensei: Self-Supervised Sensor Name Segmentation.
ACL/IJCNLP (Findings)
Jiaman Wu, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang
2021 J jnl
Sensei: Self-Supervised Sensor Name Segmentation.
CoRR
Jiaman Wu, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang
2021 — conf
TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names.
NAACL-HLT
Jiaming Shen, Wenda Qiu, Yu Meng, Jingbo Shang, Xiang Ren, Jiawei Han
2021 A* conf
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging.
KDD
Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang
2021 J jnl
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging.
CoRR
Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang
2021 Misc conf
UniTS: Short-Time Fourier Inspired Neural Networks for Sensory Time Series Classification.
SenSys
Shuheng Li, Ranak Roy Chowdhury, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong
2021 J jnl
Unsupervised Deep Keyphrase Generation.
CoRR
Xianjie Shen, Yinghan Wang, Rui Meng, Jingbo Shang
2021 — conf
Weakly Supervised Named Entity Tagging with Learnable Logical Rules.
ACL/IJCNLP (1)
Jiacheng Li, Haibo Ding, Jingbo Shang, Julian J. McAuley, Zhe Feng
2021 J jnl
Weakly Supervised Named Entity Tagging with Learnable Logical Rules.
CoRR
Jiacheng Li, Haibo Ding, Jingbo Shang, Julian J. McAuley, Zhe Feng
2021 — conf
X-Class: Text Classification with Extremely Weak Supervision.
NAACL-HLT
Zihan Wang, Dheeraj Mekala, Jingbo Shang
2020 A* conf
Contextualized Weak Supervision for Text Classification.
ACL
Dheeraj Mekala, Jingbo Shang
2020 A* conf
Empower Entity Set Expansion via Language Model Probing.
ACL
Yunyi Zhang, Jiaming Shen, Jingbo Shang, Jiawei Han
2020 J jnl
Empower Entity Set Expansion via Language Model Probing.
CoRR
Yunyi Zhang, Jiaming Shen, Jingbo Shang, Jiawei Han
2020 — conf
FUSE: Multi-faceted Set Expansion by Coherent Clustering of Skip-Grams.
ECML/PKDD (3)
Wanzheng Zhu, Hongyu Gong, Jiaming Shen, Chao Zhang, Jingbo Shang, Suma Bhat, Jiawei Han
2020 — conf
META: Metadata-Empowered Weak Supervision for Text Classification.
EMNLP (1)
Dheeraj Mekala, Xinyang Zhang, Jingbo Shang
2020 A* conf
NetTaxo: Automated Topic Taxonomy Construction from Text-Rich Network.
WWW
Jingbo Shang, Xinyang Zhang, Liyuan Liu, Sha Li, Jiawei Han
2020 J jnl
Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training.
CoRR
Zichao Li, Liyuan Liu, Chengyu Dong, Jingbo Shang
2020 A* conf
Scientific Text Mining and Knowledge Graphs.
KDD
Meng Jiang, Jingbo Shang
2020 — conf
SeNsER: Learning Cross-Building Sensor Metadata Tagger.
EMNLP (Findings)
Yang Jiao, Jiacheng Li, Jiaman Wu, Dezhi Hong, Rajesh Gupta, Jingbo Shang
2020 — conf
SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery.
EMNLP (1)
Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren, Jiawei Han
2020 J jnl
SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery.
CoRR
Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren, Jiawei Han
2020 A* conf
Towards Adaptive Residual Network Training: A Neural-ODE Perspective.
ICML
Chengyu Dong, Liyuan Liu, Zichao Li, Jingbo Shang
2020 J jnl
User-Guided Aspect Classification for Domain-Specific Texts.
CoRR
Peiran Li, Fang Guo, Jingbo Shang
2020 J jnl
X-Class: Text Classification with Extremely Weak Supervision.
CoRR
Zihan Wang, Dheeraj Mekala, Jingbo Shang
2019 — conf
Arabic Named Entity Recognition: What Works and What's Next.
WANLP@ACL 2019
Liyuan Liu, Jingbo Shang, Jiawei Han
2019 A* conf
Constructing and Mining Heterogeneous Information Networks from Massive Text.
KDD
Jingbo Shang, Jiaming Shen, Liyuan Liu, Jiawei Han
2019 — —
Constructing and mining structured heterogeneous information networks from massive text corpora
Jingbo Shang
2019 J jnl
Cross-type biomedical named entity recognition with deep multi-task learning.
Bioinform.
Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis P. Langlotz, Jiawei Han
2019 — conf
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations.
EMNLP/IJCNLP (1)
Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, Jiawei Han
2019 J jnl
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations.
CoRR
Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, Jiawei Han
2019 J jnl
CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining.
CoRR
Carl Yang, Dai Teng, Siyang Liu, Sayantani Basu, Jieyu Zhang, Jiaming Shen, Chao Zhang, Jingbo Shang, Lance M. Kaplan, Timothy Harratty, Jiawei Han
2019 — conf
Distantly Supervised Biomedical Named Entity Recognition with Dictionary Expansion.
BIBM
Xuan Wang, Yu Zhang, Qi Li, Xiang Ren, Jingbo Shang, Jiawei Han
2019 J jnl
FUSE: Multi-Faceted Set Expansion by Coherent Clustering of Skip-grams.
CoRR
Wanzheng Zhu, Hongyu Gong, Jiaming Shen, Chao Zhang, Jingbo Shang, Suma Bhat, Jiawei Han
2019 A conf
Integrating Local Context and Global Cohesiveness for Open Information Extraction.
WSDM
Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Ahmed El-Kishky, Jiawei Han
2019 J jnl
Raw-to-End Name Entity Recognition in Social Media.
CoRR
Liyuan Liu, Zihan Wang, Jingbo Shang, Dandong Yin, Heng Ji, Xiang Ren, Shaowen Wang, Jiawei Han
2019 J jnl
SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble.
CoRR
Jiaming Shen, Zeqiu Wu, Dongming Lei, Jingbo Shang, Xiang Ren, Jiawei Han
2019 J jnl
TextCube: Automated Construction and Multidimensional Exploration.
Proc. VLDB Endow.
Yu Meng, Jiaxin Huang, Jingbo Shang, Jiawei Han
2018 J jnl
Automated Phrase Mining from Massive Text Corpora.
IEEE Trans. Knowl. Data Eng.
Jingbo Shang, Jialu Liu, Meng Jiang, Xiang Ren, Clare R. Voss, Jiawei Han
2018 J jnl
Contrast Subgraph Mining from Coherent Cores.
CoRR
Jingbo Shang, Xiyao Shi, Meng Jiang, Liyuan Liu, Timothy P. Hanratty, Jiawei Han
2018 J jnl
Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning.
CoRR
Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis P. Langlotz, Jiawei Han
2018 J jnl
DPPred: An Effective Prediction Framework with Concise Discriminative Patterns.
IEEE Trans. Knowl. Data Eng.
Jingbo Shang, Meng Jiang, Wenzhu Tong, Jinfeng Xiao, Jian Peng, Jiawei Han
2018 A* conf
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling.
EMNLP
Liyuan Liu, Xiang Ren, Jingbo Shang, Xiaotao Gu, Jian Peng, Jiawei Han
2018 J jnl
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling.
CoRR
Liyuan Liu, Xiang Ren, Jingbo Shang, Jian Peng, Jiawei Han
2018 A* conf
Empower Sequence Labeling with Task-Aware Neural Language Model.
AAAI
Liyuan Liu, Jingbo Shang, Xiang Ren, Frank Fangzheng Xu, Huan Gui, Jian Peng, Jiawei Han
2018 A* conf
Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach.
SIGIR
Jiaming Shen, Jinfeng Xiao, Xinwei He, Jingbo Shang, Saurabh Sinha, Jiawei Han
2018 J jnl
Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach.
CoRR
Jiaming Shen, Jinfeng Xiao, Xinwei He, Jingbo Shang, Saurabh Sinha, Jiawei Han
2018 J jnl
Integrating Local Context and Global Cohesiveness for Open Information Extraction.
CoRR
Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han
2018 A conf
Investigating Rumor News Using Agreement-Aware Search.
CIKM
Jingbo Shang, Jiaming Shen, Tianhang Sun, Xingbang Liu, Anja Gruenheid, Flip Korn, Ádám D. Lelkes, Cong Yu, Jiawei Han
2018 J jnl
Investigating Rumor News Using Agreement-Aware Search.
CoRR
Jingbo Shang, Tianhang Sun, Jiaming Shen, Xingbang Liu, Anja Gruenheid, Flip Korn, Ádám D. Lelkes, Cong Yu, Jiawei Han
2018 A* conf
Learning Named Entity Tagger using Domain-Specific Dictionary.
EMNLP
Jingbo Shang, Liyuan Liu, Xiaotao Gu, Xiang Ren, Teng Ren, Jiawei Han
2018 J jnl
Learning Named Entity Tagger using Domain-Specific Dictionary.
CoRR
Jingbo Shang, Liyuan Liu, Xiang Ren, Xiaotao Gu, Teng Ren, Jiawei Han
2018 — conf
Open Information Extraction with Global Structure Constraints.
WWW (Companion Volume)
Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han
2017 A conf
An Attention-based Collaboration Framework for Multi-View Network Representation Learning.
CIKM
Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han
2017 J jnl
An Attention-based Collaboration Framework for Multi-View Network Representation Learning.
CoRR
Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han
2017 J jnl
Automated Phrase Mining from Massive Text Corpora.
CoRR
Jingbo Shang, Jialu Liu, Meng Jiang, Xiang Ren, Clare R. Voss, Jiawei Han
2017 — conf
Building Structured Databases of Factual Knowledge from Massive Text Corpora.
SIGMOD Conference
Xiang Ren, Meng Jiang, Jingbo Shang, Jiawei Han
2017 — conf
Constructing Structured Information Networks from Massive Text Corpora.
WWW (Companion Volume)
Xiang Ren, Meng Jiang, Jingbo Shang, Jiawei Han
2017 A conf
Detecting Multiple Periods and Periodic Patterns in Event Time Sequences.
CIKM
Quan Yuan, Jingbo Shang, Xin Cao, Chao Zhang, Xinhe Geng, Jiawei Han
2017 J jnl
Detection of Complexes in Biological Networks Through Diversified Dense Subgraph Mining.
J. Comput. Biol.
Xiuli Ma, Guangyu Zhou, Jingbo Shang, Jingjing Wang, Jian Peng, Jiawei Han
2017 J jnl
Empower Sequence Labeling with Task-Aware Neural Language Model.
CoRR
Liyuan Liu, Jingbo Shang, Frank F. Xu, Xiang Ren, Huan Gui, Jian Peng, Jiawei Han
2017 A* conf
MetaPAD: Meta Pattern Discovery from Massive Text Corpora.
KDD
Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M. Kaplan, Timothy P. Hanratty, Jiawei Han
2017 J jnl
MetaPAD: Meta Pattern Discovery from Massive Text Corpora.
CoRR
Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M. Kaplan, Timothy P. Hanratty, Jiawei Han
2017 — book
Phrase Mining from Massive Text and Its Applications
Jialu Liu, Jingbo Shang, Jiawei Han
2017 — conf
SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble.
ECML/PKDD (1)
Jiaming Shen, Zeqiu Wu, Dongming Lei, Jingbo Shang, Xiang Ren, Jiawei Han
2016 A conf
DPClass: An Effective but Concise Discriminative Patterns-Based Classification Framework.
SDM
Jingbo Shang, Wenzhu Tong, Jian Peng, Jiawei Han
2016 J jnl
DPPred: An Effective Prediction Framework with Concise Discriminative Patterns.
CoRR
Jingbo Shang, Meng Jiang, Wenzhu Tong, Jinfeng Xiao, Jian Peng, Jiawei Han
2016 A conf
Data-Driven Contextual Valence Shifter Quantification for Multi-Theme Sentiment Analysis.
CIKM
Hongkun Yu, Jingbo Shang, Meichun Hsu, Malú Castellanos, Jiawei Han
2016 A conf
MACFP: Maximal Approximate Consecutive Frequent Pattern Mining under Edit Distance.
SDM
Jingbo Shang, Jian Peng, Jiawei Han
2016 J jnl
Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks.
CoRR
Jingbo Shang, Meng Qu, Jialu Liu, Lance M. Kaplan, Jiawei Han, Jian Peng
2016 — conf
Mining Discriminative Patterns to Predict Health Status for Cardiopulmonary Patients.
BCB
Qian Cheng, Jingbo Shang, Joshua Juen, Jiawei Han, Bruce R. Schatz
2016 A* conf
Representing Documents via Latent Keyphrase Inference.
WWW
Jialu Liu, Xiang Ren, Jingbo Shang, Taylor Cassidy, Clare R. Voss, Jiawei Han
2015 — conf
Detecting urban black holes based on human mobility data.
SIGSPATIAL/GIS
Liang Hong, Yu Zheng, Duncan Yung, Jingbo Shang, Lei Zou
2015 — conf
Mining Quality Phrases from Massive Text Corpora.
SIGMOD Conference
Jialu Liu, Jingbo Shang, Chi Wang, Xiang Ren, Jiawei Han
2014 A* conf
A Parallel and Efficient Algorithm for Learning to Match.
ICDM
Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu
2014 J jnl
A Parallel and Efficient Algorithm for Learning to Match.
CoRR
Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu
2014 A conf
Constrained Question Recommendation in MOOCs via Submodularity.
CIKM
Diyi Yang, Jingbo Shang, Carolyn Penstein Rosé
2014 A* conf
Inferring gas consumption and pollution emission of vehicles throughout a city.
KDD
Jingbo Shang, Yu Zheng, Wenzhu Tong, Eric Chang, Yong Yu