Gang Chen

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 227

Top Venues

CoRR

Proc. VLDB Endow.

ICDE

IEEE Trans. Knowl. Data Eng.

Publications

Fangcheng Qiu, Zhongxin Liu, Xing Hu, Xin Xia, Gang Chen, Xinyu Wang
Vulnerability Detection via Multiple-Graph-Based Code Representation. IEEE Trans. Software Eng. 50 (8) (2024)
Ping Chen, Wenjie Zhang, Shuibing He, Yingjie Gu, Zhuwei Peng, Kexin Huang, Xuan Zhan, Weijian Chen, Yi Zheng, Zhefeng Wang, Yanlong Yin, Gang Chen
Optimizing Large Model Training through Overlapped Activation Recomputation. CoRR (2024)
Fei Xiao, Shaofeng Cai, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang
VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection. KDD (2024)
Zepeng Li, Dongxiang Zhang, Sai Wu, Mingli Song, Gang Chen
Sampling-Resilient Multi-Object Tracking. AAAI (2024)
Cheng Peng, Ke Chen, Lidan Shou, Gang Chen
Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection. AAAI (2024)
Chao Ye, Guoshan Lu, Haobo Wang, Liyao Li, Sai Wu, Gang Chen, Junbo Zhao
Towards Cross-Table Masked Pretraining for Web Data Mining. WWW (2024)
Hong Lin, Ke Chen, Dawei Jiang, Lidan Shou, Gang Chen
Correction to: "Refiner: a reliable and efficient incentive-driven federated learning system powered by blockchain". VLDB J. 33 (5) (2024)
Mingxuan Xia, Junbo Zhao, Gengyu Lyu, Zenan Huang, Tianlei Hu, Gang Chen, Haobo Wang
A Separation and Alignment Framework for Black-Box Domain Adaptation. AAAI (2024)
Wentao Ye, Jiaqi Hu, Liyao Li, Haobo Wang, Gang Chen, Junbo Zhao
Data Contamination Calibration for Black-box LLMs. CoRR (2024)
Cheng Peng, Haobo Wang, Jue Wang, Lidan Shou, Ke Chen, Gang Chen, Chang Yao
Learning Label-Adaptive Representation for Large-Scale Multi-Label Text Classification. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Lingxi Cui, Huan Li, Ke Chen, Lidan Shou, Gang Chen
Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI. CoRR (2024)
Naili Xing, Shaofeng Cai, Gang Chen, Zhaojing Luo, Beng Chin Ooi, Jian Pei
Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems. Proc. VLDB Endow. 17 (5) (2024)
Hong Lin, Ke Chen, Dawei Jiang, Lidan Shou, Gang Chen
Refiner: a reliable and efficient incentive-driven federated learning system powered by blockchain. VLDB J. 33 (3) (2024)
Ziyang Xiao, Dongxiang Zhang, Yangjun Wu, Lilin Xu, Yuan Jessica Wang, Xiongwei Han, Xiaojin Fu, Tao Zhong, Jia Zeng, Mingli Song, Gang Chen
Chain-of-Experts: When LLMs Meet Complex Operations Research Problems. ICLR (2024)
Hong Lin, Lidan Shou, Ke Chen, Gang Chen, Sai Wu
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning. CoRR (2024)
Hong Lin, Lidan Shou, Ke Chen, Gang Chen, Sai Wu
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning. Data Sci. Eng. 9 (2) (2024)
Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Gang Chen, Sharad Mehrotra
Draft& Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding. ACL (1) (2024)
Haobo Wang, Cheng Peng, Hede Dong, Lei Feng, Weiwei Liu, Tianlei Hu, Ke Chen, Gang Chen
On the Value of Head Labels in Multi-Label Text Classification. ACM Trans. Knowl. Discov. Data 18 (5) (2024)
Kai Tang, Junbo Zhao, Xiao Ding, Runze Wu, Lei Feng, Gang Chen, Haobo Wang
Learning Geometry-Aware Representations for New Intent Discovery. ACL (1) (2024)
Jiameng Bai, Sai Wu, Jie Song, Junbo Zhao, Gang Chen
Pre-Trained Model Recommendation for Downstream Fine-tuning. CoRR (2024)
Beng Chin Ooi, Shaofeng Cai, Gang Chen, Kian-Lee Tan, Yuncheng Wu, Xiaokui Xiao, Naili Xing, Cong Yue, Lingze Zeng, Meihui Zhang, Zhanhao Zhao
NeurDB: An AI-powered Autonomous Data System. CoRR (2024)
Xingyu Du, Gongsheng Yuan, Sai Wu, Gang Chen, Peng Lu
In Situ Neural Relational Schema Matcher. ICDE (2024)
Cheng Peng, Ke Chen, Lidan Shou, Gang Chen
CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition. AAAI (2024)
Lingze Zeng, Naili Xing, Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jian Pei, Yuncheng Wu
Powering In-Database Dynamic Model Slicing for Structured Data Analytics. CoRR (2024)
Tong Wu, Shuibing He, Jianxin Zhu, Weijian Chen, Siling Yang, Ping Chen, Yanlong Yin, Xuechen Zhang, Xian-He Sun, Gang Chen
AUTOHET: An Automated Heterogeneous ReRAM-Based Accelerator for DNN Inference. ICPP (2024)
Wentao Ye, Jiaqi Hu, Liyao Li, Haobo Wang, Gang Chen, Junbo Zhao
Data Contamination Calibration for Black-box LLMs. ACL (Findings) (2024)
Zhihao Chang, Linzhu Yu, Huan Li, Sai Wu, Gang Chen, Dongxiang Zhang
Revisiting CNNs for Trajectory Similarity Learning. CoRR (2024)
Hexiang Pan, Quang-Trung Ta, Meihui Zhang, Zhanhao Zhao, Yeow Meng Chee, Gang Chen, Beng Chin Ooi
FC: Adaptive Atomic Commit via Failure Detection. ICDE (2024)
Yanchao Xu, Dongxiang Zhang, Shuhao Zhang, Sai Wu, Zexu Feng, Gang Chen
Predictive and Near-Optimal Sampling for View Materialization in Video Databases. Proc. ACM Manag. Data 2 (1) (2024)
Cheng Peng, Haobo Wang, Ke Chen, Lidan Shou, Chang Yao, Runze Wu, Gang Chen
CoMAL: Contrastive Active Learning for Multi-Label Text Classification. KDD (2024)
Gongsheng Yuan, Yuxing Chen, Jiaheng Lu, Sai Wu, Zhiwei Ye, Ling Qian, Gang Chen
Quantum Computing for Databases: Overview and Challenges. CoRR (2024)
Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Lin Long, Rui Wang, Ruixuan Xiao, Junbo Zhao, Xiao Ding, Gang Chen, Haobo Wang
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey. CoRR (2024)
Dingyu Yang, Ziyang Xiao, Dongxiang Zhang, Shuhao Zhang, Jian Cao, Gang Chen
PREACT: Predictive Resource Allocation for Bursty Workloads in a Co-located Data Center. ICPP (2024)
Jue Wang, Dajie Dong, Lidan Shou, Ke Chen, Gang Chen
Effective Continual Learning for Text Classification with Lightweight Snapshots. AAAI (2023)
Yangjun Wu, Kebin Fang, Dongxiang Zhang, Han Wang, Hao Zhang, Gang Chen
TLM: Token-Level Masking for Transformers. EMNLP (2023)
Xiu Tang, Sai Wu, Dongxiang Zhang, Ziyue Wang, Gongsheng Yuan, Gang Chen
A Demonstration of DLBD: Database Logic Bug Detection System. Proc. VLDB Endow. 16 (12) (2023)
Yuncheng Wu, Naili Xing, Gang Chen, Tien Tuan Anh Dinh, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao, Meihui Zhang
Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System. Proc. VLDB Endow. 16 (10) (2023)
Zhanhao Zhao, Hexiang Pan, Gang Chen, Xiaoyong Du, Wei Lu, Beng Chin Ooi
VeriTxn: Verifiable Transactions for Cloud-Native Databases with Storage Disaggregation. Proc. ACM Manag. Data 1 (4) (2023)
Jiani Yang, Sai Wu, Dongxiang Zhang, Jian Dai, Feifei Li, Gang Chen
Rethinking Learned Cost Models: Why Start from Scratch? Proc. ACM Manag. Data 1 (4) (2023)
Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting. ICML (2023)
Chao Ye, Guoshan Lu, Haobo Wang, Liyao Li, Sai Wu, Gang Chen, Junbo Zhao
CT-BERT: Learning Better Tabular Representations Through Cross-Table Pre-training. CoRR (2023)
Ziyang Xiao, Dongxiang Zhang, Zepeng Li, Sai Wu, Kian-Lee Tan, Gang Chen
DoveDB: A Declarative and Low-Latency Video Database. Proc. VLDB Endow. 16 (12) (2023)
Chen Chen, Jingfeng Zhang, Xilie Xu, Lingjuan Lyu, Chaochao Chen, Tianlei Hu, Gang Chen
Decision Boundary-Aware Data Augmentation for Adversarial Training. IEEE Trans. Dependable Secur. Comput. 20 (3) (2023)
Dongxiang Zhang, Teng Ma, Junnan Hu, Yijun Bei, Kian-Lee Tan, Gang Chen
Co-movement Pattern Mining from Videos. Proc. VLDB Endow. 17 (3) (2023)
Wentao Hu, Dawei Jiang, Sai Wu, Ke Chen, Gang Chen
Distributional constraint discovery for intelligent auditing. Knowl. Inf. Syst. 65 (12) (2023)
Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Gang Chen, Sharad Mehrotra
Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding. CoRR (2023)
Wentao Zhang, Yanchao Xu, Aowen Wang, Gang Chen, Junbo Zhao
Fuse feeds as one: cross-modal framework for general identification of AMPs. Briefings Bioinform. 24 (6) (2023)
Cong Yue, Meihui Zhang, Changhao Zhu, Gang Chen, Dumitrel Loghin, Beng Chin Ooi
VeriBench: Analyzing the Performance of Database Systems with Verifiability. Proc. VLDB Endow. 16 (9) (2023)
Zepeng Li, Dongxiang Zhang, Yanyan Shen, Gang Chen
Human-in-the-Loop Vehicle ReID. AAAI (2023)
Yangjun Wu, Kebin Fang, Dongxiang Zhang, Han Wang, Hao Zhang, Gang Chen
TLM: Token-Level Masking for Transformers. CoRR (2023)
Dongxiang Zhang, Zhihao Chang, Dingyu Yang, Dongsheng Li, Kian-Lee Tan, Ke Chen, Gang Chen
SQUID: subtrajectory query in trillion-scale GPS database. VLDB J. 32 (4) (2023)
Yuchen Peng, Ke Chen, Lidan Shou, Dawei Jiang, Gang Chen
AQUA: Automatic Collaborative Query Processing in Analytical Database. Proc. VLDB Endow. 16 (12) (2023)
Guoshan Lu, Haobo Wang, Saisai Yang, Jing Yuan, Guozheng Yang, Cheng Zang, Gang Chen, Junbo Zhao
Catch: Collaborative Feature Set Search for Automated Feature Engineering. WWW (2023)
Jianan Yang, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao
Towards Controlled Data Augmentations for Active Learning. ICML (2023)
Liyao Li, Haobo Wang, Liangyu Zha, Qingyi Huang, Sai Wu, Gang Chen, Junbo Zhao
Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering. ICLR (2023)
Gongsheng Yuan, Jiaheng Lu, Yuxing Chen, Sai Wu, Chang Yao, Zhengtong Yan, Tuodu Li, Gang Chen
Quantum Computing for Databases: A Short Survey and Vision. VLDB Workshops (2023)
Xiu Tang, Sai Wu, Dongxiang Zhang, Feifei Li, Gang Chen
Detecting Logic Bugs of Join Optimizations in DBMS. Proc. ACM Manag. Data 1 (1) (2023)
Qiuru Lin, Sai Wu, Junbo Zhao, Jian Dai, Meng Shi, Gang Chen, Feifei Li
SmartLite: A DBMS-based Serving System for DNN Inference in Resource-constrained Environments. Proc. VLDB Endow. 17 (3) (2023)
Beng Chin Ooi, Gang Chen, Mike Zheng Shou, Kian-Lee Tan, Anthony K. H. Tung, Xiaokui Xiao, James Wei Luen Yip, Bingxue Zhang, Meihui Zhang
The Metaverse Data Deluge: What Can We Do About It? ICDE (2023)
Cong Yue, Tien Tuan Anh Dinh, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Xiaokui Xiao
GlassDB: An Efficient Verifiable Ledger Database System Through Transparency. Proc. VLDB Endow. 16 (6) (2023)
Fei Xiao, Yuncheng Wu, Meihui Zhang, Gang Chen, Beng Chin Ooi
MINT: Detecting Fraudulent Behaviors from Time-series Relational Data. Proc. VLDB Endow. 16 (12) (2023)
Hexiang Pan, Quang-Trung Ta, Meihui Zhang, Yeow Meng Chee, Gang Chen, Beng Chin Ooi
FLAC: Practical Failure-Aware Atomic Commit Protocol for Distributed Transactions. CoRR (2023)
Jingtian Zhang, Sai Wu, Junbo Zhao, Zhongle Xie, Feifei Li, Yusong Gao, Gang Chen
A Sampling-based Learning Framework for Big Databases. WWW (2022)
Cong Yue, Tien Tuan Anh Dinh, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Xiaokui Xiao
GlassDB: Practical Verifiable Ledger Database Through Transparency. CoRR (2022)
Dongxiang Zhang, Zhihao Chang, Sai Wu, Ye Yuan, Kian-Lee Tan, Gang Chen
Continuous Trajectory Similarity Search for Online Outlier Detection. IEEE Trans. Knowl. Data Eng. 34 (10) (2022)
Haobo Wang, Mingxuan Xia, Yixuan Li, Yuren Mao, Lei Feng, Gang Chen, Junbo Zhao
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning. NeurIPS (2022)
Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao
PiCO: Contrastive Label Disambiguation for Partial Label Learning. CoRR (2022)
Jue Wang, Ke Chen, Gang Chen, Lidan Shou, Julian J. McAuley
SkipBERT: Efficient Inference with Shallow Layer Skipping. ACL (1) (2022)
Zhifei Pang, Sai Wu, Gang Chen, Lidan Shou, Ke Chen, Bingsheng He
A Stack-Centric Processing Model for Iterative Processing. IEEE Trans. Big Data 8 (2) (2022)
Qiuru Lin, Sai Wu, Junbo Zhao, Jian Dai, Feifei Li, Gang Chen
A Comparative Study of in-Database Inference Approaches. ICDE (2022)
Dongxiang Zhang, Zepeng Li, Xiaoli Wang, Kian-Lee Tan, Gang Chen
Towards One-Size-Fits-Many: Multi-Context Attention Network for Diversity of Entity Resolution Tasks. IEEE Trans. Knowl. Data Eng. 34 (12) (2022)
Xiu Tang, Sai Wu, Mingli Song, Shanshan Ying, Feifei Li, Gang Chen
PreQR: Pre-training Representation for SQL Understanding. SIGMOD Conference (2022)
Zhebin Zhang, Peng Lu, Dawei Jiang, Gang Chen
TraVL: Transferring Pre-trained Visual-Linguistic Models for Cross-Lingual Image Captioning. APWeb/WAIM (2) (2022)
Dongxiang Zhang, Zhihao Chang, Sai Wu, Ye Yuan, Kian-Lee Tan, Gang Chen
Continuous Trajectory Similarity Search for Online Outlier Detection (Extended Abstract). ICDE (2022)
Sai Wu, Ying Li, Haoqi Zhu, Junbo Zhao, Gang Chen
Dynamic Index Construction with Deep Reinforcement Learning. Data Sci. Eng. 7 (2) (2022)
Dumitrel Loghin, Tien Tuan Anh Dinh, Aung Maw, Gang Chen, Yong Meng Teo, Beng Chin Ooi
Blockchain Goes Green? Part II: Characterizing the Performance and Cost of Blockchains on the Cloud and at the Edge. CoRR (2022)
Beng Chin Ooi, Kian-Lee Tan, Anthony K. H. Tung, Gang Chen, Mike Zheng Shou, Xiaokui Xiao, Meihui Zhang
Sense The Physical, Walkthrough The Virtual, Manage The Metaverse: A Data-centric Perspective. CoRR (2022)
Wentao Hu, Dawei Jiang, Sai Wu, Ke Chen, Gang Chen
IceBerg: Deep Generative Modeling for Constraint Discovery and Anomaly Detection. ISPA/BDCloud/SocialCom/SustainCom (2022)
Zhaojing Luo, Shaofeng Cai, Gang Chen, Jinyang Gao, Wang-Chien Lee, Kee Yuan Ngiam, Meihui Zhang
Improving Data Analytics with Fast and Adaptive Regularization. IEEE Trans. Knowl. Data Eng. 33 (2) (2021)
Pingcheng Ruan, Tien Tuan Anh Dinh, Dumitrel Loghin, Meihui Zhang, Gang Chen, Qian Lin, Beng Chin Ooi
Blockchains vs. Distributed Databases: Dichotomy and Fusion. SIGMOD Conference (2021)
Jimin Tan, Jianan Yang, Sai Wu, Gang Chen, Jake Zhao
A critical look at the current train/test split in machine learning. CoRR (2021)
Yu Yin, Ke Chen, Lidan Shou, Gang Chen
Defending Privacy Against More Knowledgeable Membership Inference Attackers. KDD (2021)
Naili Xing, Sai Ho Yeung, Chenghao Cai, Teck Khim Ng, Wei Wang, Kaiyuan Yang, Nan Yang, Meihui Zhang, Gang Chen, Beng Chin Ooi
SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis. CoRR (2021)
Sai Wu, Zhifei Pang, Gang Chen, Yunjun Gao, Cenjiong Zhao, Shili Xiang
NEIST: A Neural-Enhanced Index for Spatio-Temporal Queries. IEEE Trans. Knowl. Data Eng. 33 (4) (2021)
Junbo Zhao, Mingfeng Ou, Linji Xue, Yunkai Cui, Sai Wu, Gang Chen
Joining datasets via data augmentation in the label space for neural networks. ICML (2021)
Can Cui, Wei Wang, Meihui Zhang, Gang Chen, Zhaojing Luo, Beng Chin Ooi
AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment. SIGMOD Conference (2021)
Zhebin Zhang, Dajie Dong, Yuhang Ma, Yilong Ying, Dawei Jiang, Ke Chen, Lidan Shou, Gang Chen
Refiner: A Reliable Incentive-Driven Federated Learning System Powered by Blockchain. Proc. VLDB Endow. 14 (12) (2021)
Zhebin Zhang, Sai Wu, Dawei Jiang, Gang Chen
BERT-JAM: Maximizing the utilization of BERT for neural machine translation. Neurocomputing 460 (2021)
Shaofeng Cai, Kaiping Zheng, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang
ARM-Net: Adaptive Relation Modeling Network for Structured Data. SIGMOD Conference (2021)
Kaiping Zheng, Gang Chen, Melanie Herschel, Kee Yuan Ngiam, Beng Chin Ooi, Jinyang Gao
PACE: Learning Effective Task Decomposition for Human-in-the-loop Healthcare Delivery. SIGMOD Conference (2021)
Jake Zhao, Mingfeng Ou, Linji Xue, Yunkai Cui, Sai Wu, Gang Chen
Joining datasets via data augmentation in the label space for neural networks. CoRR (2021)
Lei Zhu, Zhaojing Luo, Wei Wang, Meihui Zhang, Gang Chen, Kaiping Zheng
Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal. ACM Multimedia (2021)
Naili Xing, Sai Ho Yeung, Chenghao Cai, Teck Khim Ng, Wei Wang, Kaiyuan Yang, Nan Yang, Meihui Zhang, Gang Chen, Beng Chin Ooi
SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis. ACM Multimedia (2021)
Xiu Tang, Sai Wu, Gang Chen, Jinyang Gao, Wei Cao, Zhifei Pang
A Learning to Tune Framework for LSH. ICDE (2021)
Lei Zhu, Zhaojing Luo, Wei Wang, Meihui Zhang, Gang Chen, Kaiping Zheng
Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal. CoRR (2021)
Jue Wang, Ke Chen, Lidan Shou, Sai Wu, Gang Chen
Effective Slot Filling via Weakly-Supervised Dual-Model Learning. AAAI (2021)
Chen Chen, Jingfeng Zhang, Xilie Xu, Tianlei Hu, Gang Niu, Gang Chen, Masashi Sugiyama
Guided Interpolation for Adversarial Training. CoRR (2021)
Tongya Zheng, Gang Chen, Xinyu Wang, Chun Chen, Xingen Wang, Sihui Luo
Real-time intelligent big data processing: technology, platform, and applications. CoRR (2021)
Xiu Tang, Sai Wu, Gang Chen, Ke Chen, Lidan Shou
Learning to Label with Active Learning and Reinforcement Learning. DASFAA (2) (2021)

Gang Chen.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Gang Chen