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Jiechao Gao

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

34

Venues

18

Active years

2020–2026

Best venue rank

A*

Where they publish

Papers

34 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIS2D-Align: Shallow-to-Deep Auxiliary Learning for Anatomically-Grounded Radiology Report Generation.Jiechao Gao, Chang Liu, Yuangang Li
2026AAAIMitigating Hallucinations in Large Language Models via Causal Reasoning.Yuangang Li, Yiqing Shen, Yi Nian, Jiechao Gao, Ziyi Wang, Chenxiao Yu, Li Li, Jie Wang, Xiyang Hu, Yue Zhao
2026ACLFROST: Factual Reasoning via Optimized Stochastic Trajectories in Large Language Models during Inference.Soumedhik Bharati, Ebad Shabbir, Jiechao Gao
2026ACLLLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines.Jiechao Gao, Rohan Kumar Yadav, Yuangang Li, Yuandong Pan, Jie Wang, Ying Liu, Michael D. Lepech
2026ACLAre Large Language Models Economically Viable for Industry Deployment?Abdullah Mohammad, Sushant Kumar Ray, Pushkar Arora, Rafiq Ali, Ebad Shabbir, Gautam Siddharth Kashyap, Jiechao Gao, Usman Naseem
2026EACLRevealing the Truth with ConLLM for Detecting Multi-Modal Deepfakes.Gautam Siddharth Kashyap, Harsh Joshi, Niharika Jain, Ebad Shabbir, Jiechao Gao, Nipun Joshi, Usman Naseem
2026EACLDo Clinical Question Answering Systems Really Need Specialised Medical Fine Tuning?Sushant Kumar Ray, Gautam Siddharth Kashyap, Sahil Tripathi, Nipun Joshi, Vijay Govindarajan, Rafiq Ali, Jiechao Gao, Usman Naseem
2026WWWThey Said Memes Were Harmless - We Found the Ones That Hurt: Decoding Jokes, Symbols, and Cultural References.Sahil Tripathi, Gautam Siddharth Kashyap, Mehwish Nasim, Jian Yang, Jiechao Gao, Usman Naseem
2026SIGIRDistribution-aware Re-representations for Multi-Scenario Recommendations.Qi Sun, Yulin Xu, Zelin Wang, Xiaoyu Kang, Keyan Jin, Jiechao Gao
2025ACLSynFix: Dependency-Aware Program Repair via RelationGraph Analysis.Xunzhu Tang, Jiechao Gao, Jin Xu, Tiezhu Sun, Yewei Song, Saad Ezzini, Wendkuni C. Oudraogo, Jacques Klein, Tegawend F. Bissyand
2025ACLDRUM: Learning Demonstration Retriever for Large MUlti-modal Models.Ellen Yi-Ge, Jiechao Gao, Wei Han, Wei Zhu
2025ACLTime-LlaMA: Adapting Large Language Models for Time Series Modeling via Dynamic Low-rank Adaptation.Juyuan Zhang, Jiechao Gao, Wenwen Ouyang, Wei Zhu, Hui Yi Leong
2025CVPRTrack Any Anomalous Object: A Granular Video Anomaly Detection Pipeline.Yuzhi Huang, Chenxin Li, Haitao Zhang, Zixu Lin, Yunlong Lin, Hengyu Liu, Wuyang Li, Xinyu Liu, Jiechao Gao, Yue Huang, Xinghao Ding, Yixuan Yuan
2025EMNLPTruth, Trust, and Trouble: Medical AI on the Edge.Mohammad Anas Azeez, Rafiq Ali, Ebad Shabbir, Zohaib Hasan Siddiqui, Gautam Siddharth Kashyap, Jiechao Gao, Usman Naseem
2025EMNLPAMAS: Adaptively Determining Communication Topology for LLM-based Multi-agent System.Hui Yi Leong, Yuheng Li, Yuqing Wu, Wenwen Ouyang, Wei Zhu, Jiechao Gao, Wei Han
2025EMNLPFT-MDT: Extracting Decision Trees from Medical Texts via a Novel Low-rank Adaptation Method.Yuheng Li, Jiechao Gao, Wei Han, Wenwen Ouyang, Wei Zhu, Hui Yi Leong
2025EMNLPLLMs on a Budget? Say HOLA.Zohaib Hasan Siddiqui, Jiechao Gao, Ebad Shabbir, Mohammad Anas Azeez, Rafiq Ali, Gautam Siddharth Kashyap, Usman Naseem
2025ICASSPCan AI See What We Can't? Leveraging Deep Learning and Multi-Temporal Satellite Data to Revolutionize Crop Type Mapping and Yield Prediction.Gautam Siddharth Kashyap, Harsh Joshi, Manaswi Kulahara, Rajkumar Dhakar, Atul Sajjanhar, Jiechao Gao, Sarthak Jain, Shahab Saquib Sohail
2025ICASSPFooling the Forgers: A Multi-Stage Framework for Audio Deepfake Detection.Gautam Siddharth Kashyap, Zohaib Hasan Siddiqui, Mohammad Anas Azeez, Rafiq Ali, Shantanu Kumar, Navin Kamuni, Jiechao Gao
2025ICMLCalibrating Video Watch-time Predictions with Credible Prototype Alignment.Chao Cui, Shisong Tang, Fan Li, Jiechao Gao, Hechang Chen
2025IJCNLPThe Confidence Paradox: Can LLM Know When It's Wrong?Sahil Tripathi, Md Tabrez Nafis, Imran Hussain, Jiechao Gao
2025KDDAligning and Balancing ID and Multimodal Representations for Recommendation.Binrui Wu, Shisong Tang, Fan Li, Bing Han, Chang Meng, Jingyu Xiao, Jiechao Gao
2025KDDLeveraging Label Distributions as Anchors to Enhance Video Recommendation.Yulin Xu, Chao Cui, Shisong Tang, Fan Li, Bing Han, Huafeng Cao, Jiechao Gao, Hechang Chen
2025KSEMFedBCE: Rethinking Clustered Federated Learning for Better Clustering Efficiency.Huaibin Ye, Zuobin Ying, Jiechao Gao, Ximeng Liu, Jianping Cai
2024ICDMFed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model Refinement.Jiechao Gao, Yuangang Li, Syeda Faiza Ahmed
2023DCOSSEnabling Ubiquitous Occupancy Detection in Smart Buildings: A WiFi FTM-Based Approach.Wenpeng Wang, Fateme Nikseresht, Viswajith Govinda Rajan, Jiechao Gao, Bradford Campbell
2023ICPPPFDRL: Personalized Federated Deep Reinforcement Learning for Residential Energy Management.Jiechao Gao, Wenpeng Wang, Fateme Nikseresht, Viswajith Govinda Rajan, Bradford Campbell
2022COMSNETSBlockchain-enabled Privacy Preserving of IoT Data for Sustainable Smart Cities using Machine Learning.Priyan Malarvizhi Kumar, Bharat S. Rawal, Jiechao Gao
2022SENSYSPFed-LDP: A Personalized Federated Local Differential Privacy Framework for IoT Sensing Data.Jiechao Gao, Mingyue Tang, Tianhao Wang, Bradford Campbell
2021ICPPMulti-Agent Reinforcement Learning based Distributed Renewable Energy Matching for Datacenters.Haoyu Wang, Haiying Shen, Jiechao Gao, Kevin Zheng, Xiaoying Li
2021SENSYSDecentralized Federated Learning Framework for the Neighborhood: A Case Study on Residential Building Load Forecasting.Jiechao Gao, Wenpeng Wang, Zetian Liu, Md Fazlay Rabbi Masum Billah, Bradford Campbell
2021SENSYSUbiTrack: enabling scalable & low-cost device localization with onboard wifi.Wenpeng Wang, Zetian Liu, Jiechao Gao, Nurani Saoda, Bradford Campbell
2021SENSYSThe smart building privacy challenge.Tong Wu, Murtadha Aldeer, Tahiya Chowdhury, Amber Haynes, Fateme Nikseresht, Mahsa Pahlavikhah Varnosfaderani, Jiechao Gao, Arsalan Heydarian, Brad Campbell, Jorge Ortiz
2020ICCCNMachine Learning Based Workload Prediction in Cloud Computing.Jiechao Gao, Haoyu Wang, Haiying Shen